CARP Mobile Sensing Framework in Flutter

This library contains the software architecture for the CARP sensing framework implemented in Flutter. Supports cross-platform (iOS and Android) sensing.

For Flutter plugins for other CARP products, see CARP Mobile Sensing in Flutter.

Usage

To use this plugin, add carp_mobile_sensing as a dependency in your pubspec.yaml file.

This plugin relies on json_serialization: ^1.0.0 which again rely on Dart 2.1. This mean that (at the time of writing) you should use the dev channel in Flutter. This can be set using the following Flutter command:

flutter channel dev

Note that there are two issues with Android to consider:

• Issue #1 - make sure your app's android build.gradle has a minSdkVersion 19 (instead of 16 ).
• Issue #2 - update the he file build.gradle in flutter_blue and change the JDK parameters to 26 (instead of 27).

Android Integration

Add the following to your apps manifest.xml file located in android/app/src/main:

<manifest
   ...
   <uses-permission android:name="android.permission.ACCESS_FINE_LOCATION" />
   <uses-permission android:name="android.permission.RECORD_AUDIO"/>
   <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
   <uses-permission android:name="com.google.android.gms.permission.ACTIVITY_RECOGNITION" />

   <application
      ...
      <!-- service for using the Android activity recognition API -->
      <service android:name="at.resiverbindet.activityrecognition.activity.ActivityRecognizedService" />
    </application>
</manifest>

iOS Integration

Add this permission in Info.plist:

<key>NSLocationWhenInUseUsageDescription</key>
<string>Uses the location API to record location.</string>
<key>NSLocationAlwaysUsageDescription</key>
<string>Uses the location API to record location.</string>
<key>NSMicrophoneUsageDescription</key>
<string>Uses the microphone to record ambient noise in the phone's environment.</string>
<key>NSMotionUsageDescription</key>
<string>Detects activity.</string>
<key>UIBackgroundModes</key>
  <array>
  <string>audio</string>
  <string>bluetooth-central</string>
  <string>bluetooth-peripheral</string>
  <string>external-accessory</string>
  <string>fetch</string>
  <string>location</string>
</array>

Documentation

The Dart API doc describes the different libraries and classes.

The wiki contains detailed documentation on the CARP Mobile Sensing Framework, including the domain model, its built-in probes, and how to extend it.

Below is a very simple / minimum example.

Example

// Import package
import 'package:carp_mobile_sensing/carp_mobile_sensing.dart';

... {
  // Instantiate a new study
  Study study = new Study("1234", "bardram", name: "Test study #1");

  // Setting the data endpoint to print to the console
  study.dataEndPoint = new DataEndPoint(DataEndPointType.PRINT);

  // Create a task to hold measures
  Task task = new Task("Simple Task");

  // Create a battery and location measures and add them to the task
  // Both are listening on events from changes from battery and location
  task.addMeasure(new BatteryMeasure(ProbeRegistry.BATTERY_MEASURE));
  task.addMeasure(new LocationMeasure(ProbeRegistry.LOCATION_MEASURE));

  // Create an executor that can execute this study, initialize it, and start it.
  StudyExecutor executor = new StudyExecutor(study);
  executor.initialize();
  executor.start();
}

There is a very simple example app which shows how a study can be created with different tasks and measures. This app just prints the sensing data to a console screen on the phone.

Auto generation of files

Files depending on JSON serialization can be generated using build_runner, by running the following command in the root of your Flutter project:

flutter packages pub run build_runner build --delete-conflicting-outputs

Features and bugs

Please read about existing issues and file new feature requests and bug reports at the issue tracker.

License

This software is copyright (c) 2018 Copenhagen Center for Health Technology (CACHET) at the Technical University of Denmark (DTU). This software is made available 'as-is' in a MIT license.