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codelabcreate a daily step counter on galaxy watch objective create a native app for galaxy watch, operating on wear os powered by samsung, using health platform to read your daily steps overview health platform provides a unified and straightforward way for accessing a wide range of health and wellness related data with health platform api, you may easily read and write data stored in health platform on android and wear os powered by samsung applications can have access to these secured data only with explicit user consent additionally, users may disable access to the data at any point in time see health platform descriptions for detailed information set up your environment you will need the following galaxy watch4 or newer android studio latest version recommended java se development kit jdk 11 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! health step count sample code 119 87 kb turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging debug over wi-fi turn off automatic wi-fi connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc when successfully connected, tap a wi-fi network name, swipe down, and note the ip address you will need this to connect your watch over adb from your pc connect your galaxy watch to android studio in android studio, go to terminal and type adb connect <ip address as mentioned in previous step> when prompted, tap always allow from this computer to allow debugging upon successful connection, you will see the following message in android studio’s terminal connected to <ip address of your watch> now, you can run the app directly on your watch start your project after downloading the sample code containing the project files, in android studio click open to open existing project locate the downloaded android project stepcount from the directory and click ok check dependency and app manifest in the dependencies section of stepcount/app/build gradle file, see the appropriate dependency for health platform dependencies { implementation com google android libraries healthdata health-data-api 1 0 0-alpha01' // } notelibrary might update from time to time if necessary, choose the version suggested by android studio request for data permissions before accessing any data through health platform, the client app must obtain necessary permissions from the user in permissions java, create a permission instance to trigger relevant permission screen and obtain required consent from end user data type name intervaldatatypes steps read access accesstype read /******************************************************************************************* * [practice 1] build permission object grand permissions for read today's steps * - set interval data type of steps * - set read access type ------------------------------------------------------------------------------------------- * - hint uncomment lines below and fill todos with * 1 for interval data type intervaldatatypes steps * 2 for read access accesstype read ******************************************************************************************/ permission stepsreadpermission = permission builder // setdatatype "todo 1 1 " // setaccesstype "todo 1 2 " build ; make a query to aggregate today’s steps create read request with all necessary information to read data through health platform api the answer from the platform will be asynchronous with the result from which you can get all the data you are interested in follow the steps below to get today's steps count in stepsreader java, create a readaggregateddatarequest with cumulativeaggregationspec instance data type name intervaldatatypes steps /******************************************************************************************* * [practice 2] build read aggregated data request object for read today's steps * - set interval data type of steps ------------------------------------------------------------------------------------------- * - hint uncomment line below and fill todo 2 with * 1 for interval data type intervaldatatypes steps ******************************************************************************************/ readaggregateddatarequest readaggregateddatarequest = readaggregateddatarequest builder settimespec timespec builder setstartlocaldatetime localdatetime now with localtime midnight build // addcumulativeaggregationspec cumulativeaggregationspec builder "todo 2 1 " build build ; read cumulative steps count from cumulativedata set variable steps value to 0l it is the count of daily steps get aggregatedvalue object using cumulativedata api cumulativedataaggregateddata representing total of intervaldata over a period of time e g total steps in a day public aggregatedvalue gettotal check the result if it is not null, get aggregated value using aggregatedvalue api aggregatedvaluevalue fields aggregated over a period of time only numeric fields longfield, doublefield can be included in aggregation public long getlongvalue returns all longfields and their values that are already set add value to the daily steps result counter /******************************************************************************************* * [practice 3] read aggregated value from cumulative data and add them to the result * - get aggregatedvalue from cumulativedata object * - get steps count from aggregatedvalue object ------------------------------------------------------------------------------------------- * - hint uncomment lines below and replace todo 3 with parts of code * 1 get aggregatedvalue object 'obj' using cumulativedata gettotal * 2 get value using obj getlongvalue and add to the result ******************************************************************************************/ long steps = 0l; if result != null { list<cumulativedata> cumulativedatalist = result getcumulativedatalist ; if !cumulativedatalist isempty { for cumulativedata cumulativedata cumulativedatalist { //"todo 3 1 " //"todo 3 2 " } } } return steps; run unit tests for your convenience, you will find an additional unit tests package this will let you verify your code changes even without using a physical watch see instruction below on how to run unit tests right click on com samsung sdc21 stepcount test and execute run 'tests in 'com samsung sdc21 stepcount'' command if you completed all the tasks correctly, you will see all the unit tests passed successfully run the app after building the apk, you can run the application on a connected device to see real-life aggregated steps count measured by a smartwatch right after the app is started, it will request for the user permission allow the app to receive data of the activity afterwards, the application main screen will be shown it will automatically display today’s step count tap on refresh button to read current steps count from health platform you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create a daily step counter app by yourself! if you're having trouble, you may download this file health step count complete code 119 79 kb learn more by going to health platform
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codelabtransfer heart rate data from galaxy watch to a mobile device objective create a health app for galaxy watch, operating on wear os powered by samsung, to measure heart rate and inter-beat interval ibi , send data to a paired android phone, and create an android application for receiving data sent from a paired galaxy watch overview with this code lab, you can measure various health data using samsung health sensor sdk and send it to a paired android mobile device for further processing samsung health sensor sdk tracks various health data, but it cannot save or send collected results meanwhile, wearable data layer allows you to synchronize data from your galaxy watch to an android mobile device using a paired mobile device allows the data to be more organized by taking advantage of a bigger screen and better performance see samsung health sensor sdk descriptions for detailed information set up your environment you will need the following galaxy watch4 or newer android mobile device android studio latest version recommended java se development kit jdk 17 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! heart rate data transfer sample code 213 7 kb connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that the wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging in developer options find wireless debugging turn on wireless debugging check always allow on this network and tap allow go back to developer options and click turn off automatic wi-fi notethere may be differences in settings depending on your one ui version connect your galaxy watch to android studio go to settings > developer options > wireless debugging and choose pair new device take note of the wi-fi pairing code, ip address & port in android studio, go to terminal and type adb pair <ip address> <port> <wi-fi pairing code> when prompted, tap always allow from this computer to allow debugging after successfully pairing, type adb connect <ip address of your watch> <port> upon successful connection, you will see the following message in the terminal connected to <ip address of your watch> now, you can run the app directly on your watch turn on developer mode for health platform to use the app, you need to enable developer mode in the health platform on your watch go to settings > apps > health platform quickly tap health platform title for 10 times this enables developer mode and displays [dev mode] below the title to stop using developer mode, quickly tap health platform title for 10 times to disable it set up your android device click on the following links to setup your android device enable developer options run apps on a hardware device connect the galaxy watch with you samsung mobile phone start your project in android studio, click open to open an existing project locate the downloaded android project hrdatatransfer-code-lab from the directory and click ok you should see both devices and applications available in android studio as in the screenshots below initiate heart rate tracking noteyou may refer to this blog post for more detailed analysis of the heart rate tracking using samsung health sensor sdk first, you need to connect to the healthtrackingservice to do that create connectionlistener, create healthtrackingservice object by invoking healthtrackingservice connectionlistener, context invoke healthtrackingservice connectservice when connected to the health tracking service, check the tracking capability the available trackers may vary depending on samsung health sensor sdk, health platform versions or watch hardware version use the gettrackingcapability function of the healthtrackingservice object obtain heart rate tracker object using the function healthtrackingservice gethealthtracker healthtrackertype heart_rate_continuous define event listener healthtracker trackereventlistener, where the heart rate values will be collected start tracking the tracker starts collecting heart rate data when healthtracker seteventlistener updatelistener is invoked, using the event listener collect heart data from the watch the updatelistener collects datapoint instances from the watch, which contains a collection of valuekey objects those objects contain heart rate, ibi values, and ibi statuses there's always one value for heart rate while the number of ibi values vary from 0-4 both ibi value and ibi status lists have the same size go to wear > java > data > com samsung health hrdatatransfer > data under ibidataparsing kt, provide the implementation for the function below /******************************************************************************* * [practice 1] get list of valid inter-beat interval values from a datapoint * - return arraylist<int> of valid ibi values validibilist * - if no ibi value is valid, return an empty arraylist * * var ibivalues is a list representing ibivalues up to 4 * var ibistatuses is a list of their statuses has the same size as ibivalues ------------------------------------------------------------------------------- * - hints * use local function isibivalid status, value to check validity of ibi * ****************************************************************************/ fun getvalidibilist datapoint datapoint arraylist<int> { val ibivalues = datapoint getvalue valuekey heartrateset ibi_list val ibistatuses = datapoint getvalue valuekey heartrateset ibi_status_list val validibilist = arraylist<int> //todo 1 return validibilist } check data sending capabilities for the watch once the heart rate tracker can collect data, set up the wearable data layer so it can send data to a paired android mobile device wearable data layer api provides data synchronization between wear os and android devices noteto know more about wearable data layer api, go here to determine if a remote mobile device is available, the wearable data layer api uses concept of capabilities not to be confused with samsung health sensor sdk’s tracking capabilities, providing information about available tracker types using the wearable data layer's capabilityclient, you can get information about nodes remote devices being able to consume messages from the watch go to wear > java > com samsung health hrdatatransfer > data in capabilityrepositoryimpl kt, and fill in the function below the purpose of this part is to filter all capabilities represented by allcapabilities argument by capability argument and return the set of nodes set<node> having this capability later on, we need those nodes to send the message to them /************************************************************************************** * [practice 2] check capabilities for reachable remote nodes devices * - return a set of node objects out of all capabilities represented by 2nd function * argument, having the capability represented by 1st function argument * - return empty set if no node has the capability -------------------------------------------------------------------------------------- * - hints * you might want to use filtervalues function on the given allcapabilities map * ***********************************************************************************/ override suspend fun getnodesforcapability capability string, allcapabilities map<node, set<string>> set<node> { //todo 2 } encode message for the watch before sending the results of the heart rate and ibi to the paired mobile device, you need to encode the message into a string for sending data to the paired mobile device we are using wearable data layer api’s messageclient object and its function sendmessage string nodeid, string path, byte[] message go to wear > java > com samsung health hrdatatransfer > domain in sendmessageusecase kt, fill in the function below and use json format to encode the list of results arraylist<trackeddata> into a string /*********************************************************************** * [practice 3] - encode heart rate & inter-beat interval into string * - encode function argument trackeddata into json format * - return the encoded string ----------------------------------------------------------------------- * - hint * use json encodetostring function **********************************************************************/ fun encodemessage trackeddata arraylist<trackeddata> string { //todo 3 } notetrackeddata is an object, containing data received from heart rate tracker’s single datapoint object @serializable data class trackeddata var hr int, var ibi arraylist<int> = arraylist run unit tests for your convenience, you will find an additional unit tests package this will let you verify your code changes even without using a physical watch or mobile device see the instruction below on how to run unit tests right click on com samsung health hrdatatransfer test , and execute run 'tests in 'com samsung health hrdatatransfer" command if you have completed all the tasks correctly, you will see all the unit tests pass successfully run the app after building the apks, you can run the applications on your watch to measure heart rate and ibi values, and on your mobile device to collect the data from your watch once the app starts, allow the app to receive data from the body sensors afterwards, it shows the application's main screen to get the heart rate and ibi values, tap the start button tap the send button to send the data to your mobile device notethe watch keeps last ~40 values of heart rate and ibi you’re done! congratulations! you have successfully achieved the goal of this code lab now, you can create a health app on a watch to measure heart rate and ibi, and develop a mobile app that receives that health data! if you face any trouble, you may download this file heart rate data transfer complete code 213 9 kb to learn more about samsung health, visit developer samsung com/health
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codelabmeasure blood oxygen level on galaxy watch objective create a health app for galaxy watch, operating on wear os powered by samsung, utilizing samsung health sensor sdk to trigger and obtain blood oxygen level spo2 measurement results overview samsung health sensor sdk provides means of accessing and tracking health information contained in the health data storage its tracking service gives raw and processed sensor data such as accelerometer and body composition data sent by the samsung bioactive sensor the latest bioactive sensor of galaxy watch runs powerful health sensors such as photoplethysmogram ppg , electrocardiogram ecg , bioelectrical impedance analysis bia , sweat loss, and spo2 see samsung health sensor sdk descriptions for detailed information set up your environment you will need the following galaxy watch4 or newer android studio latest version recommended java se development kit jdk 11 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! measuring blood oxygen level sample code 146 3 kb connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging in developer options find wireless debugging turn on wireless debugging check always allow on this network and tap allow go back to developer options and click turn off automatic wi-fi notethere may be differences in settings depending on your one ui version connect your galaxy watch to android studio go to settings > developer options > wireless debugging and choose pair new device take note of the wi-fi pairing code, ip address & port in android studio, go to terminal and type adb pair <ip address> <port> <wi-fi pairing code> when prompted, tap always allow from this computer to allow debugging after successfully pairing, type adb connect <ip address of your watch> <port> upon successful connection, you will see the following message in android studio’s terminal connected to <ip address of your watch> now, you can run the app directly on your watch turn on developer mode for health platform on your watch go to settings > apps > health platform quickly tap health platform title for 10 times this enables developer mode and displays [dev mode] below the title to stop using developer mode, quickly tap health platform title for 10 times to disable it start your project in android studio, click open to open existing project locate the downloaded android project from the directory and click ok check capabilities for the device to track data with the samsung health sensor sdk, it must support a given tracker type – blood oxygen level to check this, get the list of available tracker types and verify that the tracker is on the list in the connectionmanager java file, navigate to the isspo2available function, use a provided healthtrackingservice object to create a healthtrackercapability instance, send it to the checkavailabletrackers function, and assign its result to the availabletrackers list gettrackingcapability returns a healthtrackercapability instance in the healthtrackingservice object healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype public healthtrackercapability gettrackingcapability provide a healthtrackercapability instance to get a supporting health tracker type list /****************************************************************************************** * [practice 1] check capabilities to confirm spo2 availability * * ---------------------------------------------------------------------------------------- * * hint replace todo 1 with java code * get healthtrackercapability object from healthtrackingservice * send the object to checkavailabletrackers ******************************************************************************************/ public boolean isspo2available healthtrackingservice healthtrackingservice { if healthtrackingservice == null return false; list<healthtrackertype> availabletrackers = null; //"todo 1" if availabletrackers == null return false; else return availabletrackers contains healthtrackertype spo2_on_demand ; } check connection error resolution using samsung health sensor sdk api, resolve any error when connecting to health tracking service in the connectionmanager java file, navigate to the processtrackerexception function, and check if the provided healthtrackerexception object has a resolution assign the result to hasresolution variable hasresolution function in the healthtrackerexception object checks if the api can fix the error healthtrackerexceptionhealthtrackerexception contains error codes and checks the error's resolution if there is a resolution, solving the error is available by calling resolve activity boolean hasresolution checks whether the given error has a resolution /******************************************************************************************* * [practice 2] resolve healthtrackerexception error * * ----------------------------------------------------------------------------------------- * * hint replace todo 2 with java code * call hasresolution on healthtrackerexception object ******************************************************************************************/ public void processtrackerexception healthtrackerexception e { boolean hasresolution = false; //"todo 2" if hasresolution e resolve callingactivity ; if e geterrorcode == healthtrackerexception old_platform_version || e geterrorcode == healthtrackerexception package_not_installed observerupdater getobserverupdater notifyconnectionobservers r string novalidhealthplatform ; else observerupdater getobserverupdater notifyconnectionobservers r string connectionerror ; log e tag, "could not connect to health tracking service " + e getmessage ; } initialize spo2 tracker before the measurement starts, initialize the spo2 tracker by obtaining the proper health tracker object in the spo2listener java file, navigate to the init function using the provided healthtrackingservice object, create an instance of the spo2 tracker and assign it to the spo2tracker object gethealthtracker with healthtrackertype spo2_on_demand as an argument will create a healthtracker instance healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype healthtracker gethealthtracker healthtrackertype healthtrackertype provides a healthtracker instance for the given healthtrackertype /******************************************************************************************* * [practice 3] initialize spo2 tracker * * ---------------------------------------------------------------------------------------- * * hint replace todo 3 with java code * initialize spo2tracker with proper samsung health sensor sdk functionality * call gethealthtracker on healthtrackingservice object * use healthtrackertype spo2_on_demand as an argument ******************************************************************************************/ void init healthtrackingservice healthtrackingservice { //"todo 3" } perform measurement for the client app to start obtaining the data through the sdk, it has to set a listener method on the healthtracker the application setups the listener when the user taps on the measure button each time there is new data, the listener callback receives it after the measurement is completed, the listener has to be disconnected due to battery drain, on-demand measurement should not last more than 30 seconds the measurement is cancelled if the final value is not delivered in time note that the sensor needs a few seconds to warm up and provide correct values, which adds to the overall measurement time the blood oxygen level values come in the ondatareceived callback of trackereventlistener in spo2listener java file, you can see the code for reading the value private final healthtracker trackereventlistener spo2listener = new healthtracker trackereventlistener { @override public void ondatareceived @nonnull list<datapoint> list { for datapoint data list { updatespo2 data ; } } }; private void updatespo2 datapoint data { int status = data getvalue valuekey spo2set status ; int spo2value = 0; if status == measurement_completed spo2value = data getvalue valuekey spo2set spo2 ; observerupdater getobserverupdater notifytrackerobservers status, spo2value ; } run unit tests for your convenience, you can find an additional unit tests package this lets you verify your code changes even without using a physical watch see instructions below on how to run unit tests right click on com samsung health spo2tracking test and execute run 'tests in 'com samsung health spo2tracking'' command if you completed all the tasks correctly, you can see that all the unit tests passed successfully run the app after building the apk, you can run the application on a connected device to measure blood oxygen level right after the app is started, it requests for user permission allow the app to receive data from the body sensors afterwards, it shows the application's main screen to get the blood oxygen level, tap on the measure button to stop the measurement, tap on the stop button you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create a health app that measures blood oxygen level by yourself! if you're having trouble, you may download this file measuring blood oxygen level complete code 146 2 kb to learn more about samsung health, visit developer samsung com/health
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codelabmeasure skin temperature on galaxy watch objective create a health app for galaxy watch, operating on wear os powered by samsung, utilizing samsung health sensor sdk to obtain skin temperature measurement results overview samsung health sensor sdk provides means of accessing and tracking health information contained in the health data storage its tracking service gives raw and processed sensor data such as accelerometer and body composition data sent by the samsung bioactive sensor the active sensor of galaxy watch runs powerful health sensors such as photoplethysmogram ppg , electrocardiogram ecg , bioelectrical impedance analysis bia , sweat loss, and spo2 see samsung health sensor sdk descriptions for detailed information set up your environment you will need the following galaxy watch5 or newer with updated health platform android studio latest version recommended java se development kit jdk 17 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! skin temperature tracking sample code 148 0 kb connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that the wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging in developer options, search for wireless debugging turn on wireless debugging check always allow on this network, and tap allow go back to developer options, and click turn off automatic wi-fi notethere may be differences in settings depending on your one ui version connect your galaxy watch to android studio go to settings > developer options > wireless debugging and choose pair new device take note of the wi-fi pairing code, ip address & port in android studio, go to terminal and type adb pair <ip address> <port> <wi-fi pairing code> when prompted, tap always allow from this computer to allow debugging after successfully pairing, type adb connect <ip address of your watch> <port> upon successful connection, you will see the following message in android studio’s terminal connected to <ip address of your watch> now, you can run the app directly on your watch turn on developer mode for health platform on your watch go to settings > apps > health platform quickly tap health platform title for 10 times this enables developer mode and displays [dev mode] below the title to stop using developer mode, quickly tap health platform title for 10 times to disable it start your project in android studio and click open to open an existing project locate the downloaded android project skintemptracking from the directory and click ok check tracking capabilities to track the data with the sdk, the device must support skin temperature, like the galaxy watch5 skin temperature tracking can work in 2 modes batching and on-demand the tracker type for batching is healthtrackertype skin_temperature_continuous and healthtrackertype skin_temperature_on_demand for on-demand in this code lab, you are going to use on-demand tracker in connectionmanager java, navigate to isskintemperatureavailable function use a provided healthtrackingservice object to create a healthtrackercapability instance, and send it to checkavailabletrackers function, and assign its result to availabletrackers list gettrackingcapability returns a healthtrackercapability instance in healthtrackingservice object healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype public healthtrackercapability gettrackingcapability provide a healthtrackercapability instance to get a supporting healthtrackertype list /****************************************************************************************** * [practice 1] check capabilities to confirm skin temperature availability * * ---------------------------------------------------------------------------------------- * * hint replace todo 1 with java code * get healthtrackercapability object from healthtrackingservice * send the object to checkavailabletrackers ******************************************************************************************/ boolean isskintemperatureavailable healthtrackingservice healthtrackingservice { if healthtrackingservice == null return false; @suppresswarnings "unusedassignment" list<healthtrackertype> availabletrackers = null; //"todo 1" if availabletrackers == null return false; else return availabletrackers contains healthtrackertype skin_temperature ; } initialization of skin temperature tracker before starting the measurement, initialize the skin temperature tracker by creating a healthtracker object in skintemperaturelistener java, navigate to setskintemperaturetracker using the provided healthtrackingservice object, create an instance of the healthtracker class of skin_temperature_on_demand type and assign it to the skintemperaturetracker object gethealthtracker with healthtrackertype skin_temperature_on_demand as an argument creates a healthtracker instance after a single measurement, the tracker should be stopped when using on-demand measurement for continuous measurement, use healthtrackertype skin_temperature_continuous healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype healthtracker gethealthtracker healthtrackertype healthtrackertype create a healthtracker instance for the given healthtrackertype /******************************************************************************************* * [practice 2] setup skin temperature tracker * * ---------------------------------------------------------------------------------------- * * hint replace todo 2 with java code * initialize skintemperaturetracker with proper samsung health sensor sdk functionality * call gethealthtracker on healthtrackingservice object * use healthtrackertype skin_temperature_on_demand as an argument ******************************************************************************************/ void setskintemperaturetracker healthtrackingservice healthtrackingservice { //"todo 2" } starting and stopping the tracker for the client app to obtain the data through the sdk, set a listener method on healthtracker this method is called every time there is new data healthtrackerhealthtracker enables an application to set an event listener and get tracking data for a specific healthtrackertype public void seteventlistener healthtracker trackereventlistener listener set an event listener to the healthtracker instance void starttracker { if !ishandlerrunning { skintemperaturehandler post -> skintemperaturetracker seteventlistener skintemperaturelistener ; ishandlerrunning = true; } } after the finished measurement, the on-demand tracker should be stopped you can do that by unsetting the event listener from healthtracker healthtrackerhealthtracker enables an application to set an event listener and get tracking data for a specific healthtrackertype public void unseteventlistener stop the registered event listener to this healthtracker instance void stoptracker { if skintemperaturetracker != null skintemperaturetracker unseteventlistener ; skintemperaturehandler removecallbacksandmessages null ; ishandlerrunning = false; } process obtained skin temperature data the answer from the healthtrackingservice is asynchronous the skintemperaturelistener receives the callback containing a data point with all the required information follow the steps below to get skin temperature data in skintemperaturelistener java, go to the updateskintemperature function and read skin temperature data from datapoint get skin temperature status using datapoint api key valuekey skintemperatureset status get skin temperature value using datapoint api key valuekey skintemperatureset object_temperature get ambient temperature value using datapoint api key valuekey skintemperatureset ambient_temperature datapointdatapoint provides a map of valuekey and value with a timestamp public <t>t getvalue valuekey<t>type get data value for the given key private final healthtracker trackereventlistener skintemperaturelistener = new healthtracker trackereventlistener { @override public void ondatareceived @nonnull list<datapoint> list { stoptracker ; for datapoint data list { updateskintemperature data ; } } }; /******************************************************************************************* * [practice 3] read values from datapoint object * - get skin temperature status value * - get wrist skin temperature value - it's named "object_temperature" in the library * - get ambient temperature value ------------------------------------------------------------------------------------------- * - hint replace todo 3 with parts of code * 1 remove skintemperaturestatus invalid_measurement and * set status from 'datapoint' object using data getvalue valuekey skintemperatureset status * * if status is 'skintemperaturestatus successful_measurement' then * 2 set wristskintemperaturevalue from 'datapoint' object using * data getvalue valuekey skintemperatureset object_temperature ; * 3 set ambienttemperaturevalue from 'datapoint' object using * data getvalue valuekey skintemperatureset ambient_temperature ; ******************************************************************************************/ void updateskintemperature datapoint data { final int status = skintemperaturestatus invalid_measurement; float wristskintemperaturevalue = 0; float ambienttemperaturevalue = 0; //"todo 3" trackerdatasubject notifyskintemperaturetrackerobservers status, ambienttemperaturevalue, wristskintemperaturevalue ; } run unit tests for your convenience, you will find an additional unit tests package this will let you verify your code changes even without using a physical watch see the instruction below on how to run unit tests right click on com samsung health skintemptracking test and execute run 'tests in 'com samsung health skintemptrackin" command if you have completed all the tasks correctly, you can see all the unit tests pass successfully run the app after building the apk, you can run the application on a connected device to measure your skin temperature once the app starts, allow the app to receive data from the body sensors afterwards, the screen shows the application tap the measure button to get your skin temperature to stop measuring, tap on the stop button you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create a health app that measures skin temperature by yourself! if you are having trouble, you may download this file skin temperature tracking complete project 147 8 kb to learn more about samsung health, visit developer samsung com/health
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codelabmeasure blood oxygen level and heart rate on galaxy watch objective create a health app for galaxy watch, operating on wear os powered by samsung, utilizing samsung health sensor sdk to trigger and obtain results of simultaneous blood oxygen level spo2 and heart rate measurements overview samsung health sensor sdk provides means of accessing and tracking health information contained in the health data storage its tracking service gives raw and processed sensor data such as accelerometer and body composition data sent by the samsung bioactive sensor the latest bioactive sensor of galaxy watch runs powerful health sensors such as photoplethysmogram ppg , electrocardiogram ecg , bioelectrical impedance analysis bia , sweat loss, and spo2 see samsung health sensor sdk descriptions for detailed information set up your environment you will need the following galaxy watch4 or newer android studio latest version recommended java se development kit jdk 11 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! measuring blood oxygen level and heart rate sample code 159 2 kb connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging in developer options find wireless debugging turn on wireless debugging check always allow on this network and tap allow go back to developer options and click turn off automatic wi-fi notethere may be differences in settings depending on your one ui version connect your galaxy watch to android studio go to settings > developer options > wireless debugging and choose pair new device take note of the wi-fi pairing code, ip address & port in android studio, go to terminal and type adb pair <ip address> <port> <wi-fi pairing code> when prompted, tap always allow from this computer to allow debugging after successfully pairing, type adb connect <ip address of your watch> <port> upon successful connection, you will see the following message in android studio’s terminal connected to <ip address of your watch> now, you can run the app directly on your watch turn on developer mode for health platform on your watch go to settings > apps > health platform quickly tap health platform title for 10 times this enables developer mode and displays [dev mode] below the title to stop using developer mode, quickly tap health platform title for 10 times to disable it start your project in android studio, click open to open existing project locate the downloaded android project from the directory and click ok establish service connection and check capabilities for the device to track data with the samsung health sensor sdk, it must connect to the service by healthtrackingservice api after establishing a connection, verify if the required tracker type is available to check this, get the list of available tracker types and verify that the tracker is on the list in this code lab, you will utilize blood oxygen level and heart rate trackers the healthtrackingservice api usage is in the table below healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype public void connectservice establish a connection with samsung's health tracking service public void disconnectservice release a connection for samsung's health tracking service public healthtrackercapability gettrackingcapability provide a healthtrackercapability instance to get a supporting health tracker type list initialize multiple trackers before the measurement starts, initialize the spo2 tracker by obtaining the proper health tracker object in the connectionmanager java file, navigate to initspo2 , create an oxygen saturation healthtracker instance, and pass it to the spo2listener instance get the healthtracker object using the healthtrackingservice api use the healthtrackertype spo2_on_demand type as parameter healthtrackingservicehealthtrackingservice initiates a connection to samsung's health tracking service and provides a healthtracker instance to track a healthtrackertype public healthtracker gethealthtracker healthtrackertype healthtrackertype provide a healthtracker instance for the given healthtrackertype pass the healthtracker object to the spo2listener instance object spo2listener public void sethealthtracker healthtracker tracker set healthtracker instance for the given tracker /******************************************************************************************* * [practice 1] create blood oxygen level health tracker object * - get health tracker object * - pass it to spo2listener ------------------------------------------------------------------------------------------- * - hint replace todo 1 with parts of code * 1 get healthtracker object using healthtrackingservice gethealthtracker * use healthtrackertype spo2_on_demand type as parameter * 2 pass it to spo2listener using sethealthtracker function ******************************************************************************************/ public void initspo2 spo2listener spo2listener { //"todo 1 1 " //"todo 1 2 " sethandlerforbaselistener spo2listener ; } next, in the connectionmanager java file, in the initheartrate function, create a heart rate healthtracker instance, and pass it to the heartratelistener instance get the healthtracker object using the healthtrackingservice api use the healthtrackertype heart_rate_continuous type as parameter pass the healthtracker object to the heartratelistener instance object heartratelistener public void sethealthtracker healthtracker tracker set healthtracker instance for the given tracker /******************************************************************************************* * [practice 2] create heart rate health tracker object * - get health tracker object * - pass it to heartratelistener ------------------------------------------------------------------------------------------- * - hint replace todo 2 with parts of code * 1 get healthtracker object using healthtrackingservice gethealthtracker * use healthtrackertype heart_rate_continuous type as parameter * 2 pass it to heartratelistener using sethealthtracker function ******************************************************************************************/ public void initheartrate heartratelistener heartratelistener { //"todo 2 1 " //"todo 2 2 " sethandlerforbaselistener heartratelistener ; } start and stop trackers for the client app to start obtaining the data through the sdk, set a listener method on healthtracker this method will be called every time there is new data after the measurement completes, the listener has to be disconnected to start measurement in the baselistener java file, navigate to starttracker function, and set trackereventlistener as listener healthtracker object set an event listener on healthtracker object using healthtracking api use the healthtracker trackereventlistener object instance as parameter healthtrackerhealthtracker enables an application to set an event listener and get tracking data for a specific healthtrackertype public void seteventlistener healthtracker trackereventlistener listener set an event listener to this healthtracker instance /******************************************************************************************* * [practice 3] start health tracker by setting event listener * - set event listener on health tracker ------------------------------------------------------------------------------------------- * - hint replace todo 3 with parts of code * set event listener on healthtracker object using healthtracker seteventlistener * use trackereventlistener object as parameter ******************************************************************************************/ public void starttracker { log i app_tag, "starttracker called " ; log d app_tag, "healthtracker " + healthtracker tostring ; log d app_tag, "trackereventlistener " + trackereventlistener tostring ; if !ishandlerrunning { handler post -> { //"todo 3" sethandlerrunning true ; } ; } } to stop measurement, unset the trackereventlistener from the healthtracker object in the stoptracker function unset the event listener on healthtracker object using healthtracking api healthtrackerhealthtracker enables an application to set an event listener and get tracking data for a specific healthtrackertype public void unseteventlistener stop the registered event listener to this healthtracker instance /******************************************************************************************* * [practice 4] stop health tracker by removing event listener * - unset event listener on health tracker ------------------------------------------------------------------------------------------- * - hint replace todo 4 with parts of code * unset event listener on healthtracker object using healthtracker unseteventlistener ******************************************************************************************/ public void stoptracker { log i app_tag, "stoptracker called " ; log d app_tag, "healthtracker " + healthtracker tostring ; log d app_tag, "trackereventlistener " + trackereventlistener tostring ; if ishandlerrunning { //"todo 4" sethandlerrunning false ; handler removecallbacksandmessages null ; } } process obtained and batching data the response from the platform will be asynchronous with the results you want to obtain follow the steps below to get blood oxygen level and heart rate data in the spo2listener java file, navigate to updatespo2 function, and read spo2 data from datapoint get the oxygen saturation status using the datapoint api key valuekey spo2set status get the oxygen saturation value using the datapoint api key valuekey spo2set spo2 datapointdatapoint provides a map of valuekeyand value with a timestamp public <t>t getvalue valuekey<t> type get data value for the given key /******************************************************************************************* * [practice 5] read values from datapoint object * - get blood oxygen level status * - get blood oxygen level value ------------------------------------------------------------------------------------------- * - hint replace todo 5 with parts of code * 1 remove spo2status calculating and * set status from 'datapoint' object using datapoint getvalue valuekey spo2set status * 2 set spo2value from 'datapoint' object using datapoint getvalue valuekey spo2set spo2 * if status is 'spo2status measurement_completed' ******************************************************************************************/ public void updatespo2 datapoint datapoint { int status = spo2status calculating; //"todo 5 1 " int spo2value = 0; //"todo 5 2 " trackerdatanotifier getinstance notifyspo2trackerobservers status, spo2value ; log d app_tag, datapoint tostring ; } in the heartratelistener java file, navigate to readvaluesfromdatapoint function, and read the heart rate data from datapoint get heart rate status using datapoint api key valuekey heartrateset heart_rate_status get heart rate value using datapoint api key valuekey heartrateset heart_rate get heart rate ibi value using datapoint api key valuekey heartrateset ibi_list get ibi quality using datapoint api key valuekey heartrateset ibi_status_list /******************************************************************************************* * [practice 6] read values from datapoint object * - get heart rate status * - get heart rate value * - get heart rate ibi value * - check retrieved heart rate’s ibi and ibi quality values ------------------------------------------------------------------------------------------- * - hint replace todo 6 with parts of code * 1 set hrdata status from 'datapoint' object using datapoint getvalue valuekey heartrateset heart_rate_status * 2 set hrdata hr from 'datapoint' object using datapoint getvalue valuekey heartrateset heart_rate * 3 set local variable 'list<integer> hribilist' using datapoint getvalue valuekey heartrateset ibi_list * 4 set local variable 'final list<integer> hribistatus' using datapoint getvalue valuekey heartrateset ibi_status_list * 5 set hrdata ibi with the last of 'hribilist' values * 6 set hrdata qibi with the last of 'hribistatus' values ******************************************************************************************/ public void readvaluesfromdatapoint datapoint datapoint { heartratedata hrdata = new heartratedata ; //"todo 6 1 " //"todo 6 2 " //"todo 6 3 " //"todo 6 4 " //"todo 6 5 " //"todo 6 6 " trackerdatanotifier getinstance notifyheartratetrackerobservers hrdata ; log d app_tag, datapoint tostring ; } run unit tests for your convenience, you can find an additional unit tests package this lets you verify your code changes even without using a physical watch see instructions below on how to run unit tests right click on com samsung health multisensortracking test and execute run 'tests in 'com samsung health multisensortracking'' command if you completed all the tasks correctly, you can see that all the unit tests passed successfully run the app after building the apk, you can run the application on a connected device to see blood oxygen level and heart rate values right after the app is started, it requests for user permission allow the app to receive data from the body sensors afterwards, it shows the application's main screen and automatically display the heart rate to get the blood oxygen level spo2 value, tap on the measure button to stop the measurement, tap on the stop button tap on the details label to see more heart rate data you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create a health app that measures blood oxygen level and heart rate by yourself! if you're having trouble, you may download this file measuring blood oxygen level and heart rate complete code 158 8 kb to learn more about samsung health, visit developer samsung com/health
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codelabtrack deadlift exercise on galaxy watch objective create a native app for galaxy watch, operating on wear os powered by samsung, using health services to track deadlift exercise this app measures repetition count, calories burned, and time spent during the exercise overview health services provides a simple and unified way for accessing a wide range of health and wellness related data with health services api, you will no longer need to develop your own algorithms processing sensors data in order to compute metrics like heart rate, steps counts, distance, calories burned, and other more these are now accessible through health services embedded on wearables operating on wear os powered by samsung see health platform descriptions for detailed information set up your environment you will need the following galaxy watch4 or newer android studio latest version recommended java se development kit jdk 11 or later sample code here is a sample code for you to start coding in this code lab download it and start your learning experience! health track deadlift sample code 132 83 kb turn on developer mode and adjust its settings on your watch, go to settings > about watch > software and tap on software version 5 times upon successful activation of developer mode, a toast message will display as on the image below afterwards, developer options will be visible under settings tap developer options and enable the following options adb debugging debug over wi-fi turn off automatic wi-fi connect your galaxy watch to wi-fi go to settings > connection > wi-fi and make sure that wi-fi is enabled from the list of available wi-fi networks, choose and connect to the same one as your pc when successfully connected, tap a wi-fi network name, swipe down, and note the ip address you will need this to connect your watch over adb from your pc connect your galaxy watch to android studio in android studio, go to terminal and type adb connect <ip address as mentioned in previous step> when prompted, tap always allow from this computer to allow debugging upon successful connection, you will see the following message in android studio’s terminal connected to <ip address of your watch> now, you can run the app directly on your watch start your project after downloading the sample code containing the project files, open your android studio and click open to open an existing project locate the downloaded android project deadlift from the directory and click ok check dependency and app manifest in the dependencies section of gradle scripts > build gradle module app file, see the appropriate dependency for health services dependencies { implementation 'androidx health health-services-client 1 0 0-beta03' // } notesince the library might update from time to time, it is recommended to choose the version suggested by android studio in androidmanifest xml file, note the following <queries> element <queries> <package android name="com google android wearable healthservices" /> </queries> section with requests for necessary permissions <uses-permission android name="android permission body_sensors" /> <uses-permission android name="android permission activity_recognition" /> check capabilities to check what can be measured during an exercise, you need to check its capabilities go to app > java > com samsung sdc21 deadlift open the deadliftutil java file and navigate to the checkcapabilities method an inner class c definition implements the methods of the futurecallback interface within this definition, define the onsuccess method to retrieve the exercise type capabilities public void onsuccess exercisecapabilities result { objects requirenonnull result ; log i tag, "got exercise capabilities" ; /*********************************************************************************** * [practice 1] define the onsuccess method * * - hint uncomment lines below and replace todo 1 * call getexercisetypecapabilities method of result object, * passing already initialized t as an argument **********************************************************************************/ final exercisetype t = exercisetype deadlift; // final exercisetypecapabilities capabilities = "todo 1" // final exerciseconfig builder builder = exerciseconfig builder t ; // builder setdatatypes capabilities getsupporteddatatypes ; // exerciseconfigbuilder = builder; } next, implement the findcapabilitesfuture method to get a callback with exercisecapabilities getcapabilitiesasync returns the exercisecapabilities of the exerciseclient for the device static listenablefuture<exercisecapabilities> findcapabilitiesfuture exerciseclient client { /******************************************************************************************* * [practice 1] create a listenablefuture object that will get a callback with * with exercise capabilities choose the correct method from exerciseclient * * - hint uncomment line and replace null with todo 2 * for checking capabilities use getcapabilitiesasync method ******************************************************************************************/ return null; //"todo 2"; } start the exercise inside the startexercise method, there is a call to the futures addcallback method this method adds a callback function that executes when the asynchronous operation of starting the exercise completes set an update callback for the exercise client within the onsuccess method of the callback function public void onsuccess void result { log i tag, "successfully started" ; /*************************************************************************** * [practice 2] set an update callback * * - hint uncomment lines below and fill todos * 1 make appropriate call of setupdatecallback method * and pass exerciseupdatelistener object as an argument * 2 change ismeasurementrunning flag value to true **************************************************************************/ // exerciseclient setupdatecallback "todo 3 1 " ; log i tag, "successfully set update listener" ; // "todo 3 2 " } in the deadlift java file, call the startexercise method in onbuttonclickhelper public void onbuttonclickhelper { /******************************************************************************************* * [practice 2] start the exercise using a method from deadliftutil java * * - hint uncomment line below and fill todo 4 * call startexercise method on util object * ****************************************************************************************/ // "todo 4" } get the results go to the deadliftutil java file, and in the getnewrepsvalue method, call the getlatestmetrics method from the exerciseupdate class to get the data collected during the exercise store the data in the resultlist, where the last element holds the most up-to-date value of all your repetitions public long getnewrepsvalue exerciseupdate update, deltadatatype<long, intervaldatapoint<long>> datatype { /******************************************************************************************* * [practice 3] get the data collected during exercise * * - hint uncomment lines below and fill todo 5 * call getlatestmetrics method of exerciseupdate object * then, get the data of appropriate type * for this, you can use dedicated method getdata , passing datatype as an argument * ****************************************************************************************/ // final list<intervaldatapoint<long>> resultlist = "todo 5" // if !resultlist isempty { // final int lastindex = resultlist size - 1; // return resultlist get lastindex getvalue ; // } return no_new_value; } run unit tests for your convenience, you will find an additional unit tests package this will let you verify your code changes even without using a physical watch see instruction below on how to run unit tests right click on com samsung sdc21 deadlift test > deadliftunittest and execute run 'deadliftunittest' command if you completed all the tasks correctly, you will see all the unit tests passed successfully run the app after building the apk, you can run the application on a connected device to measure actual deadlift parameters right after the app is started, it will request for the user permission allow the app to receive data of the activity afterwards, the application main screen will be shown before doing deadlifts, press the start button to track your exercise when done, tap on the stop button you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create a deadlift exercise tracker app by yourself! if you're having trouble, you may download this file health track deadlift complete code 132 42 kb learn more by going to health platform
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codelabestablish a health research system using samsung health research stack objective learn how to create a health research system that collects data from mobile and wearable devices and visualizes the collected data in a web portal using samsung health research stack overview samsung health research stack is an open-source toolset that helps collect and analyze data from devices in android and wear os environments it provides tools and infrastructure for developing and deploying health studies, ranging from medical research to clinician services and more the framework consists of four components backend services - offers api endpoints to access and interact with a robust data engine web portal - a customizable interface for creating surveys, managing team members, tracking subjects, and analyzing data app sdk - an sdk for building android and wear os apps capable of collecting data from wearable devices starter app - a health research app with mobile and wearable versions created using basic features provided by the app sdk for detailed information, see samsung health research stack set up your environment you will need the following android studio latest version recommended samsung galaxy mobile device with updated health connect app and samsung health app installed samsung galaxy watch synced to the mobile device docker desktop sample code to start your learning experience, download the project files of the samsung health research stack starter mobile and wearable app notedepending on your preferred development style, you can either download or clone the repository of the project files to your local computer feel free to edit and customize this project for your own purposes, including this code lab activity set up your galaxy mobile and watch device connect your galaxy mobile device to your pc and enable adb debugging next, connect your galaxy watch to android studio over wi-fi lastly, enable the developer mode of the health platform app on your watch by following these steps a go to settings b tap on apps c select health platform d quickly tap on health platform several times until [dev mode] appears notethe samsung health developer mode is only intended for testing or debugging your application it is not for application users deploy the backend and web portal locally download the backend-config-files zip file and unzip it the folder contains the docker-compose yaml file open the terminal window of docker desktop in the terminal, go to the directory where your docker-compose yaml file is located, and run the following command $ docker compose up –d the script deploys the backend and the web portal to your local computer, and it includes 6 services redis - redis watcher for the backend casbin service mongo - for saving data from the backend postgres - for supertokens database and the backend casbin database supertokens - for username and password authentication backend - backend for the samsung health research stack portal - web portal for the samsung health research stack you can change the port number, username, and password for each database with the default setting, you can access the web portal in your browser at localhost 80 the script file has simple settings for easy deployment to add more features, you can change the environment in the docker-compose yaml file's services > backend > environment part set the aws environment variables optional you can enable uploading and downloading features by setting the following aws environment variables aws_bucket_name aws_region aws_access_key_id aws_secret_access_key aws_session_token you can follow the instructions in using the default credential provider chain for setting up aws credentials set google openid connect optional to enable google openid connect oidc login, you can set the following environment variables oidc_google_oauth2_url default "https //oauth2 googleapis com" oidc_google_client_id oidc_google_client_secret oidc_google_redirect_uri you can refer to openid connect for more information about setting google oidc create a new study the health research system has two user groups investigators - conduct research studies and use the web portal for managing studies and analyzing data subjects - participate in studies by answering surveys and performing tasks through the mobile app, as well as collecting health data from wearable apps to start your research study, as an investigator, follow the steps below create an account and sign in to the web portal page you deployed fill out the form with your information on the study collection page, click the create study button noteall enrolled investigators can create a study the creator becomes the study admin in the basic info tab, input the details of the study 5 for the study scope, choose public noteyou can set the study scope as either public or private if you choose private, you need to input a participation code that subjects must enter into the mobile app to join however, for the ease of testing in this code lab, it is recommended to set the scope as public for the study requirements field, you can input any text and click next go to participation requirements tab and select the data types to collect in wear category for this code lab, choose wear accelerometer wear ecg wear heart rate the logo and title of the created study show on the study collection page connect the mobile app to backend system to connect the starter mobile app to the backend system, follow these steps noteto ensure that the galaxy mobile device can connect to the machine where the backend system is deployed, it is recommended to connect both the machine and the mobile device to the same network open the downloaded project file in android studio and go to samples > starter-mobile-app in the local properties file, set the server_address to the ip address of the machine where the backend system is deployed server_address ="input ip address here" tipyou can check your ip address using the command line windows in command prompt, type ipconfig and find the ip address under ipv4 address mac in terminal, type ifconfig and look for the ip address under inet next to en0 next, set the server_port to 50001 if you used the default values in the provided docker-compose yaml file for deployment if not, use the port number you set server_port=50001 set authentication method the app sdk supports three types of authentication methods for registration samsung utilizes samsung account cognito incorporates amazon cognito authentication super-tokens enables anonymous login to allow research participants to register and log in using their personal emails, set the sign_in_mode as super-tokens in the local properties file sign_in_mode="super-tokens" upload wearable data via grpc when synchronizing wearable device data, the app sdk offers two approaches utilizing grpc for high-performance remote procedure calls or synchronization through files each approach has advantages and disadvantages regarding factors such as battery life and server workload however, it is advisable to utilize grpc during local development to configure the mobile application to upload wearable data via grpc rather than files, add the following code in the local properties file enable_upload_wearble_data_by_file=false show the sync button in starter wearable app after configuring the mobile app, modify the wearable app to meet the requirements of your study go to samples > starter-wearable-app and open the local properties file the wearable app features a sync button, which can be displayed or hidden when this button is pressed, it synchronizes the collected data with the backend system instantly to show the sync button, set the value of enable_instant_sync_button as below enable_instant_sync_button=true notethis instant sync feature can negatively affect the battery consumption of both apps, so it is recommended to remove the sync button when you publish your app the samsung health research stack has an optimized data synchronization process that minimizes battery consumption set data measurement parameters you can customize the data collection and storage process of the wearable app by setting the values of the following data measurement parameters passive_data_insert_interval_in_seconds sets the data measurement buffer the buffer saves data in an in-memory database before the interval expires then, at regular intervals, the data from the buffer is stored in persistent memory data_split_interval_in_millis specifies the size of segmented data in persistent memory if these values are not specified, the wearable app uses its default values to verify that the data is being measured and synchronized instantly, you can set the values as follows passive_data_insert_interval_in_seconds=12 data_split_interval_in_millis=30000 run the starter mobile and wearable app after configuring the local properties of both starter apps, build and run your app in android studio by following these steps run the starter mobile app select your mobile app starter-mobile-app from the run configurations menu in the toolbar choose a connected galaxy mobile device as the target device for running the app click run to install the app after installation, clear the app's data run the starter mobile app follow the same steps as for the starter mobile app but select starter-wearable-app instead choose a connected galaxy watch device for running the app allow the app to access physical activity, sensor data, and send notifications when prompted ensure that the galaxy watch is connected with the galaxy mobile device register and join a study since you have set super-tokens as the authentication method, you can now register and log into the app at once open the starter mobile app and sign up with an unregistered email address after logging in and accepting permissions, the app displays the study you created from the web portal tap on the study card to view its details and click join study noteif a study is set to private and you wish to join it, press enter the study code located at the top of the screen and input the assigned participation code in the study code field agree to data collection and terms of research you can see that the sensor data to be collected are dependent upon the selection made in the web portal while creating the study sign and click next to complete the study onboarding process measure and collect health data in the starter wearable app, you can see a list of on-demand measurements that you can contribute to health research for this code lab, choose ecg and click measure follow the onscreen measurement instruction after measuring successfully, scroll to the bottom of the wearable app and press the sync button to synchronize the data with the mobile app in the mobile app, go to data tab, click the more button, and click sync to transfer the collected data to the web portal visualize the collected data in web portal you can display the collected data as a graph in any way you choose for further analysis of the study from the overview page of the study in the web portal, navigate to the dashboard page click on the add chart button provide a title for the chart and select the desired chart type then, edit the chart source choose the database where the data is stored for this code lab, enter the following query to display only the first ten heart rate data from wearheartrate table select * from wearheartrate limit 10 click run query and save select value and timestamp for the value and category columns respectively check the preview of the graph finally, click save to display the graph into the dashboard you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create your own health research system by yourself! to learn more, see samsung health research stack
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codelabcreate a watch face using tag expressions objective learn how to create a watch face that responds based on the date, time, step count, heart rate, and battery level using tag expressions in watch face studio in this code lab, you will create a basic watch face with complications such as step count, heart rate, and battery level later, you will improve its functionalities and make it visually dynamic using tag expressions overview watch face studio is a graphic authoring tool that enables you to create watch faces for wear os it offers a simple and intuitive way to add images and components, and to configure the watch movement without any coding watch face studio supports watch faces for the galaxy watch4 or newer version, and other watch devices that run on the same platform tag expressions are conditions in watch face studio that allows you to customize watch face through dynamic configuration of its movement and data set up your environment you will need the following watch face studio galaxy watch4 or newer any supported wear os watch start your project create a new project and input project name a blank studio will show upon clicking ok add analog hands and index watch face studio allows you to add components like text, image, shape, analog hands, and index in a watch face for your watch to have the look and feel of an analog watch, add the following components time > index time > analog hands > minute time > analog hands > hour notethe index and watch hand images used in this code lab are no longer included in the latest version of the watch face studio however, you can choose a design for the index and watch hands from available images in the resources folder you can also create and add your own design you will see that the hands move automatically and in sync with the device time select all the newly added components and click group rename the group as group_analogtime use a progress bar for seconds a component like a progress bar can be used to show how much of the process is completed and how much is left in this step, you will use it to show how far or close the next minute is to use a progress bar as seconds click add component and select progress bar rename the component to seconds move seconds behind group_analogtime in properties of seconds, do the following a adjust the dimension width and height to 395 b align the component to the center c drag the background slider to 0% d make sure that the type is a circular progress bar; otherwise change it e in range setting, change value to 0 and click tags beside it to open the tags window f type in [sec] it means that the value from 0 will increment as the value of the second increases g set max value to 59 since it is the maximum value of [sec] notein this scenario, the progress bar disappears in the canvas as the preview only uses the base value, which is 0 however, the component is still present in run format and position a digital clock in this step, you will learn how grouping works and affects its components you will also learn how to format the date and time using tags to format and position a digital clock, you need to add a digital clock > time twice rename them as hour and minute, respectively add a digital clock > date and rename the component as date put them in one group and rename it as group_digitaltime go to the properties of hour and change the text appearance to 80 do the same for minute adjust the text size of date to 15 adjust the y placements of the individual components to look like the image below when you change a certain component, it won’t affect other components in the group format hour to only show the time in hour a go to its properties and click the tags button in text field b replace text field value with [hour_0_23_z] to show the current hour with leading zero do the same for minute but replace the text field value with [min_z] to show the current minute in an hour with leading zero go to group_digitaltime placement properties and align it horizontally after that, place it to the left you will see the components adjusted as a group utilize health features and battery level watch face studio also allows you to utilize data like step count, heart rate, and battery level follow the steps below to show these real-time data using tags on texts or progress bar battery level add a circular progress bar and rename the component as battery level drag the background slider to 0% go to value properties replace the value with 0 and, in tags, input or choose [batt_per] to use the current battery percentage as the value add a circle complication slot and rename it as battery icon complications are a set of components that can be handled as one group set the type to fixed and change the default provider to watch battery select short text as complication type and choose icon + text for layout select and move battery level and battery icon together to the bottom right heart rate add a circular progress bar and rename the component as heart rate drag the background slider to 0% go to value properties replace the value with 0 and, in tags, input or choose [hr] to use heart rate as value set the max value to 240 since it's the maximum heart rate a person can have add a text component and rename it as heart rate label in the text field, input heart rate and change the text size to 12 change the y placement to 195 add another text component and rename it as heart rate text in the text field, input [hr] and change the text size to 30 group heart rate, heart rate label, and heart rate text together rename the group as group_heartrate move the group_heartrate placement to the center right step count add a circular progress bar and rename the component as step count drag the background slider to 0% go to value properties replace the value with 0 and, in tags, input or choose [sc_per] to use the current percentage to the goal of step count add a circle complication slot and rename it as step count text set the type to fixed and change the default provider to step count select short text as complication type and choose text + title for layout it will now show "steps" as title and step count as text place the step count text in the center horizontally select and move step count and step count text together to the top right select group_digitaltime, group_batterylevel, group_heartrate, group_stepcount, battery icon, and step count text drag them behind group_analoghands and seconds by doing this, the analog hands would overlap the components make use of tag expressions you already have three progress bars that show data of battery level, heart rate, and step count this time, you will make these features more functional by changing the progress bars' color to red using tag expressions tag expressions are conditions that allow you to change the rotation, placement, behavior, and opacity of a component based on tag values it can alter your watch face's appearance dynamically as the tag value changes tag expressions support different types of operators – arithmetic, relational, logical, and ternary for this step, you will apply tag expressions on the color opacity but first, you will have to duplicate all the circular progress bars seconds, battery level, heart rate, and step count move all the duplicates to a new group called group_colorchange make sure that group_colorchange is behind all other groups change individual component’s color to #ffffff or white duplicate this group and rename it as group_background move it behind group_colorchange drag the background slider to 16% and remove tags in the value properties of each component of group_background change group_colorchange color to #ff001e or red group_colorchange will be used as components underneath when you set the opacity of the main components to 0 using tag expressions group_background will serve as gap fillers of each progress bar below are conditions that will trigger the opacity of the main components to become 0 and reveal the duplicated red components change the color of the battery level to red if the battery level is equal to or less than 20% go to group_batterylevel and select battery level navigate to color properties check if the color opacity value is 100 this will serve as the base value in tags, input [batt_per]<=20?-100 0 to subtract 100 from the base value of opacity if the battery level is equal to or less than 20 otherwise, the base opacity value remains the same in the run pane, adjust the device > watch battery to 20% or less, and you will see how the color will change to red change the color of step count to red if the goal hasn't been reached yet and the time is already 18 00 6 00 pm or beyond go to group_stepcount and select step count navigate to color properties check if the color opacity value is 100 this will serve as the base value in tags, input [sc]<[sc_goal] * [hour_0_23]>=18 ?-100 0 to subtract 100 from the base value of opacity if the step count is less than the goal, and if the value of hour in a day is 18 or beyond otherwise, the base opacity value remains the same play with the time control bar in the run pane and health > steps data to see how the color will change from blue to red change the color of the heart rate and seconds to red if the heart rate is below or above the normal go to group_heartrate and select heart rate navigate to color properties check if the color opacity value is 100 this will serve as the base value in tags, input [hr]<60 + [hr]>100 ?-100 0 to subtract 100 from the base value of opacity if the heart rate is below or above the normal 60-100 otherwise, it remains the same do the same for seconds test it in the run pane by adjusting the health > heart rate to below 60 or above 100, and you will see how the color will change to red prolong the battery life now that you already know what group and tag expressions are, it's about time for you to use both to your advantage it is observed that the darker a watch face design is, the longer the battery life can be to help the watch stay powered even when there’s a little battery left, you will need to decrease the opacity of the watch face when the battery level is equal to or less than 10% to do this, you have to select and combine all created groups and components, except for group analogtime, battery icon, and step count text, to a new group called group_watchface go to group_watchface color properties and change the base opacity value to 20 in tags, input [batt_per]<=10?0 80 to add 0 to the base value of opacity if the battery level is equal to or less than 10 otherwise, it adds 80 to the base value, making the watch face 100% visible adjust the device > watch battery to 10% or less, and you will see how most components' opacity decreased choose components for always-on always-on display is a feature that allows your galaxy watch to show the time without checking on it by pressing a button or lifting your hand in watch face studio, you can choose which group or component to display on the always-on by following these steps go to the always-on tab, to see the same set of components you added and grouped click the eye icon next to the group name to hide or make it visible hide group_watchface, battery icon, and step count text at this point, your always-on display will display a basic analog watch face whenever your watch is in idle mode test the watch face to test your watch face, you need to connect a watch device to the same network as your computer in watch face studio, select project > run on device select the connected watch device you want to test with if your device is not detected automatically, click scan devices to detect your device or enter its ip address manually by clicking the + button you're done! congratulations! you have successfully achieved the goal of this code lab now, you can create and design a watch face using tag expressions by yourself! if you're having trouble, you may download this file tag expression complete project 272 71 kb to learn more about watch face studio, visit developer samsung com/watch-face-studio
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