Watch Data Streamer for Wear OS

A Wear OS application designed for comprehensive sensor data acquisition and seamless transmission to a paired Android phone.

This app runs directly on your Wear OS smartwatch, providing core functionality to:

• Collect&Display vital health metrics: Heart Rate & Steps.
• Capture contextual sensor data: Accelerometer, Location & Device Battery.
• Support flexible monitoring modes:
  • Continuous Background Monitoring for ongoing tracking.
  • On-Demand Event Recording for specific incidents.
• Reliably transmit all collected data to a companion Android phone application using the Wear OS Data Layer API.

Ideal for projects requiring rich sensor data from a smartwatch for further processing, analysis, or integration into larger health and activity platforms on a connected phone.

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🚀 See It In Action!

Check out this demo to see the app collecting data on Wear OS and sending it to a connected Android phone:

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✨ Key Features

• Wear OS Native App: Runs independently on the smartwatch.
• Continuous Monitoring:
  • ❤️ Real-time Heart Rate.
  • 🚶 Daily Step Count.
• On-Demand Recording:
  • 🤸 Accelerometer data capture for events.
  • 📍 Start/End Location for incidents.
• Device Insights:
  • 🔋 Wearable Battery Level.
• Phone Communication:
  • 📲 Streams data to a paired Android phone app via Wear Data Layer.
• Data Output:
  • Provides data in a structured format (e.g., JSON) for easy consumption by the phone app.
• Background Operation:
  • Utilizes foreground services for persistent and reliable data collection.

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🛠️ Tech Stack

• Kotlin
• Wear OS SDK
• Android Jetpack:
  • Jetpack Compose for Wear OS (for the app's UI)
  • Coroutines & StateFlow
• Google Play Services:
  • Wearable Data Layer API
  • Fused Location Provider API
• Gson: For data serialization.

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📲 Phone App Integration

To receive data from this Wear OS app, your companion Android phone application will need to:

1. Include Play Services Wearable Dependency:

   implementation 'com.google.android.gms:play-services-wearable:18.1.0' // Or latest

2. Listen for Data Layer Messages:
   • Implement a WearableListenerService or add listeners to MessageClient/DataClient.
   • Listen on predefined paths (e.g., /watch_info/health, /watch_info/incident) for incoming data.
   • (Specify the exact paths your app uses here or refer to a constants file).
3. Process Received Data:
   • Deserialize the received data (e.g., from JSON) into appropriate data models on the phone side.

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🔒 Permissions (on Wear OS device)

This app requires the following permissions on the Wear OS device to function:

• android.permission.BODY_SENSORS
• android.permission.ACTIVITY_RECOGNITION
• android.permission.ACCESS_FINE_LOCATION
• android.permission.FOREGROUND_SERVICE
• android.permission.FOREGROUND_SERVICE_HEALTH
• android.permission.WAKE_LOCK
• android.permission.POST_NOTIFICATIONS (API 33+)

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💡 Future Ideas

• Adaptive sampling.
• Local caching on watch for offline sync.
• User-configurable settings within the Wear OS app.

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📄 License

This project is licensed under the MIT License. (Optional: Add a LICENSE.md file)