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A highly accurate step counter plugin using accelerometer-based detection with low-pass filtering and peak detection. Supports foreground, background, and terminated state tracking.

Changelog #

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

1.1.0 - 2025-01-27 #

Fixed #

  • 🐛 Critical Fix: Terminated state step sync now works correctly when app returns from killed state
    • Fixed issue where syncStepsFromTerminated() was never called from Dart side
    • Enhanced Kotlin sensor handling to wait for fresh sensor data when app resumes
    • Added sensor re-registration with 1.5-second wait loop to ensure data availability
    • Improved fallback to SharedPreferences when sensor doesn't respond immediately

Added #

  • New Feature: onTerminatedStepsDetected callback for handling missed steps
    • Automatically triggered during start() when steps from terminated state are detected
    • Provides (missedSteps, startTime, endTime) parameters for easy Health Connect integration
    • Example: stepCounter.onTerminatedStepsDetected = (steps, start, end) { ... }
  • 📚 New Method: syncTerminatedSteps() - Manual sync for terminated state steps
    • Returns Map<String, dynamic>? with missed steps data
    • Useful for on-demand synchronization scenarios
  • 📖 Documentation: Added comprehensive TERMINATED_STATE_USAGE.md guide
    • Complete API documentation with examples
    • Health Connect integration patterns
    • Troubleshooting guide and best practices
    • Device reboot handling explanation

Improved #

  • 🔍 Enhanced Logging: Added detailed debug logs to Kotlin plugin
    • StepCounter tag for sensor events and data retrieval
    • AccurateStepCounter tag for Dart-side sync operations
    • Helps diagnose issues when steps aren't syncing
  • Better Sensor Handling: Improved reliability when returning from terminated state
    • Re-registers sensor listener to trigger immediate callbacks
    • Implements retry logic with configurable wait time
    • Falls back gracefully to cached data if sensor unavailable
  • 🎯 Automatic Sync: Terminated state sync now happens automatically on start()
    • No manual intervention required
    • Only triggers when enableOsLevelSync: true (default)
    • Validates data before returning results

Changed #

  • 📦 Internal: Added dart:developer import for logging in AccurateStepCounterImpl
  • 🔧 Behavior: start() method now includes terminated state sync in initialization flow
    • Maintains backward compatibility - no breaking changes
    • Existing code continues to work without modifications

Technical Details #

  • Sensor Wait Logic: Kotlin plugin now waits up to 1500ms for sensor data with 50ms check intervals
  • Validation: All existing validation checks remain in place (max steps, step rate, time checks)
  • Thread Safety: Sensor wait loop properly handles interruptions
  • Fallback Chain: Sensor → Wait for callback → SharedPreferences → null

Migration Guide #

No breaking changes! Existing implementations continue to work. To use the new callback feature:

// Before starting, register the callback
stepCounter.onTerminatedStepsDetected = (missedSteps, startTime, endTime) {
  // Handle missed steps (e.g., write to Health Connect)
  print('Synced $missedSteps steps from terminated state');
};

// Start as usual - sync happens automatically
await stepCounter.start();

Performance Impact #

  • Minimal: Adds ~0-1.5 seconds to app startup only when terminated state data exists
  • No impact during normal operation or when no missed steps are found
  • Sensor wait timeout is configurable in Kotlin code if needed

Testing #

Verified fix with test scenario:

  1. Start app → step counter active
  2. Walk 100 steps → confirmed counted
  3. Force kill app → terminate completely
  4. Walk 50 steps while terminated
  5. Reopen app → automatic sync triggers
  6. ✅ Callback receives ~50 missed steps correctly

Known Issues #

  • None identified in this release

1.0.0 - 2025-01-20 #

Added #

  • ✨ Initial release of Accurate Step Counter plugin
  • 📱 Accelerometer-based step detection with advanced filtering algorithms
  • 🔧 Configurable sensitivity with preset modes (walking, running)
  • 📊 Real-time step count event stream
  • 🛡️ Comprehensive state management:
    • Foreground tracking with real-time updates
    • Background tracking support
    • Terminated state recovery (syncs steps taken while app was closed)
  • 🔒 Validated step data with safety checks:
    • Maximum reasonable step count (50,000)
    • Maximum step rate validation (3 steps/second)
    • Device reboot detection
    • Time validation
  • 📱 Android native integration:
    • OS-level step counter synchronization
    • SharedPreferences for state persistence
    • TYPE_STEP_COUNTER sensor support
  • 📚 Complete documentation:
    • Comprehensive README with examples
    • API reference documentation
    • Integration tests
    • Example application
  • 🎯 Core features:
    • Low-pass filtering to reduce noise
    • Peak detection algorithm
    • Minimum time between steps validation
    • Configurable threshold and filter parameters
    • Battery-efficient implementation

Supported Platforms #

  • ✅ Android (Full support)
  • 🚧 iOS (Planned for future release)

Requirements #

  • Flutter SDK: >=3.3.0
  • Dart SDK: ^3.9.0
  • Android: API 19+ (Android 4.4 KitKat)

Dependencies #

  • sensors_plus: ^6.0.1 - For accelerometer access
  • plugin_platform_interface: ^2.0.2 - For plugin architecture

Known Limitations #

  • iOS support not yet implemented
  • Requires ACTIVITY_RECOGNITION permission on Android 10+
  • Background tracking may be limited by device-specific battery optimization settings

Breaking Changes #

  • None (initial release)

Migration Guide #

  • None (initial release)

Future Roadmap #

Planned for v1.2.0 #

  • 📊 Step history tracking with daily/weekly summaries
  • 🔔 Configurable step goal notifications
  • 📈 Calorie estimation based on step count
  • 🎨 Additional preset configurations (stairs, hiking, etc.)

Planned for v2.0.0 #

  • 🍎 iOS support with CoreMotion integration
  • 🔄 Cloud sync capabilities
  • 📊 Advanced analytics and insights
  • 🏃 Activity type detection (walking, running, cycling)

Contributing #

Found a bug or have a feature request? Please open an issue.

Want to contribute? Check out our contributing guidelines.


Version History #

  • 1.1.0 (2025-01-27) - Fixed terminated state sync + added callback feature
  • 1.0.0 (2025-01-20) - Initial release with Android support
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A highly accurate step counter plugin using accelerometer-based detection with low-pass filtering and peak detection. Supports foreground, background, and terminated state tracking.

Repository (GitHub)
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Documentation

Documentation

License

unknown (license)

Dependencies

flutter, health, plugin_platform_interface, sensors_plus

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