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research noteexperiment writeup candidatescore 30
EchelonCapture: Current State vs. Vision
**EchelonCapture is currently a sensor data streaming & recording app.** **It needs to become the visual performance dashboard for Computational Choreography.**
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**EchelonCapture is currently a sensor data streaming & recording app.** **It needs to become the visual performance dashboard for Computational Choreography.**
Based on your performance loop diagram and UI vision documents, EchelonCapture should be **the real-time visual manifestation of the entire CC system** - showing the dancer what the machine sees, what it's generating, and where the performance is going.
It should display: 1. **Latent Orb** - Living visualization of LIM-RPS equilibrium (the machine's perception of you) 2. **Phrase Spine** - Current generative phrase as topological object 3. **Generative Horizon** - Predicted future latent states (what's coming) 4. **Phrase Reservoir** - Cloud of upcoming musical possibilities 5. **Embodied Control Band** - Real-time modulation parameters (tension, grounding, etc.) 6. **Somatic Timeline** - Compressed history of latent evolution 7. **Audio Vessel** - Musical form visualization 8. **Ambient Aura** - Global performance state atmosphere
### Current Tabs: 1. **Stream** - Connect to cc-mcs-headless, stream sensor data, view FPS/latency 2. **Record** - Save sensor sessions locally 3. **Sensors** - Configure which sensors are active 4. **Sessions** - Browse saved recordings 5. **Settings** - Backend URL, device role, debug mode
### Current Visualization: - ❌ No latent visualization - ❌ No music/phrase visualization - ❌ No generative prediction display - ✅ Raw sensor debug view (accel, gyro, attitude) - ✅ Motion energy meter (simple) - ✅ Network stats (FPS, latency)
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