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research noteexperiment writeup candidatescore 20
Motion-Controlled DJ System - Implementation Complete
I've successfully implemented a complete motion-controlled DJ system that allows you to control Serato DJ using Apple Watch gestures detected from the Motion web app.
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I've successfully implemented a complete motion-controlled DJ system that allows you to control Serato DJ using Apple Watch gestures detected from the Motion web app.
**`gesture_library.py`** - Gesture pattern definitions - 12+ gesture types (flick, scratch, shake, circular, etc.) - Pattern matching algorithms - Configurable thresholds - Confidence scoring (0.0-1.0)
**`gesture_detector.py`** - Real-time gesture detection engine - Sliding window analysis (100ms windows with 50ms overlap) - Feature extraction from IMU data: - Acceleration: magnitude, direction, velocity - Rotation: rate, total rotation, direction changes - Patterns: circularity, spike ratio, tilt angle - Debouncing (300ms cooldown between gestures) - <50ms target latency
**`motion_dj_bridge.py`** - WebSocket client & bridge service - Connects to Motion app WebSocket - Filters data by device role (left/right) - Sends commands to SeratoBridge - Async/await architecture - Auto-reconnect on disconnect - Metrics tracking
**`config.yaml`** - Complete configuration - 12 gesture definitions with tunable thresholds - Motion app connection settings - SeratoBridge integration settings - Logging and performance options
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