Health

  
Create performant health applications in a platform agnostic way.
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November 3, 2021 - - - 1.0.0-alpha03

Declaring dependencies

To add a dependency on Health, you must add the Google Maven repository to your project. Read Google's Maven repository for more information.

Add the dependencies for the artifacts you need in the build.gradle file for your app or module:

Groovy

dependencies {
    implementation "androidx.health:health-services-client:1.0.0-alpha03"
}

Kotlin

dependencies {
    implementation("androidx.health:health-services-client:1.0.0-alpha03")
}

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Version 1.0.0

Version 1.0.0-alpha03

November 3, 2021

androidx.health:health-services-client:1.0.0-alpha03 is released. Version 1.0.0-alpha03 contains these commits.

New Features

  • The SDK will automatically re-register measure, exercise listener, and passive monitoring callback registration requests in the event that the IPC connection is broken with the Health Services APK.

API Changes

  • minSdkVersion of the SDK library bumped to API level 30 since the Health Services Client is currently only supported on Wear3.

Version 1.0.0-alpha02

September 29, 2021

androidx.health:health-services-client:1.0.0-alpha02 is released. Version 1.0.0-alpha02 contains these commits.

API Changes

  • ExerciseClient now supports preparing an exercise. This allows clients to warm-up the sensors and wait for things like a GPS Fix before starting exercise.
  • Introduces CumulativeDataPoints and StatisticalDataPoints AggregateDataPoint classes to better model aggregate metrics tracked during an active exercise. CumulativeDataPoints hold cumulative values of aggregated interval data types (such as total distance during the exercise) while StatisticalDataPoints model aggregates of sampled data points (such as min, max, and average HeartRateBpm). This replaces the previous AGGREGATE_* DataTypes and can be accessed in the ExerciseUpdate via getLatestAggregateMetrics(). AGGREGATE_* DataTypes are no longer supported.
  • PassiveMonitoring Events have been renamed to PassiveGoals which supports setting of goals and receiving notifications when those goals are met for data types like Daily metrics (i.e. DAILY_STEPS).
  • Improved modeling of Heart Rate and Location accuracy and availability via the introduction of the new HrAccuracy, LocationAccuracy, and LocationAvailability classes.
  • Improved naming of ExerciseConfig and new PassiveMonitoringConfig fields and introduction of ExerciseConfig.shouldEnableGps to request GPS-backed data

Bug Fixes

  • Migrates to proto-backed IPC transport for better backwards compatibility support

Version 1.0.0-alpha01

May 18, 2021

androidx.health:health-services-client:1.0.0-alpha01 is released. Version 1.0.0-alpha01 contains these commits.

Features of initial release

The Health Services library provides a uniform set of APIs for developers to integrate with device-specific sensor implementations. It will work out of the box with Wear OS 3 emulators and upcoming devices, with additional platforms supported in the future. Three top level API surfaces are included in this initial release: The ExerciseClient, PassiveMonitoringClient, and MeasureClient.

ExerciseClient

The ExerciseClient is made for applications tracking active workouts, with up to 82 different ExerciseTypes from walking and running to dancing and water polo. While tracking these exercises, there’s a selection of 50 different DataTypes available depending on the exercise type and hardware available on the device. To get started, just specify the relevant information in your ExerciseConfig, call exerciseClient.startExercise and listen for progress on the update listener.

PassiveMonitoringClient

The PassiveMonitoringClient is a great choice if your application tracks the user’s activity throughout the day. You can register a PendingIntent with a set of DataTypes and be woken up to handle batched changes. Alternatively, you can specify an Event such as reaching a certain number of steps.

MeasureClient

Sometimes the user needs to measure e.g. their heart rate in the moment, not during an exercise and not throughout the day. In those moments the MeasureClient is the perfect choice.You just register your callback with supported DataTypes to receive a stream of data, unregistering your callback when it’s no longer needed.