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Phase 3: Real-Time Gesture Streaming - Architecture

**Phase 3** connects the production training system (Phases 1 & 2) to live DJ performance, enabling real-time gesture recognition that triggers keyboard shortcuts, MIDI commands, or integrates with voice control.

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**Phase 3** connects the production training system (Phases 1 & 2) to live DJ performance, enabling real-time gesture recognition that triggers keyboard shortcuts, MIDI commands, or integrates with voice control. **Key Features:** - Sliding window analysis (0.5-2 seconds) - Gesture debouncing (prevent double triggers) - Confidence thresholding - Multi-gesture detection (simultaneous gestures) - Performance monitoring (latency, accuracy) **Input:** - Continuous sensor stream (Phase 1) - Trained gesture templates (Phase 2) **Mapping Types:** 1. **Keyboard Shortcuts** - Gesture → Key combo (e.g., swipe_right → Cmd+Right) - Platform-specific (macOS, Windows, Linux) 3. **Direct Integration** - Gesture → Rekordbox/Serato API call - Gesture → Custom Python function

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