Back to corpus
research noteexperiment writeup candidatescore 28

Gesture Control System - Production

**Enterprise-grade multi-modal gesture recognition** combining phone sensors and video analysis for expressive DJ control.

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

**Enterprise-grade multi-modal gesture recognition** combining phone sensors and video analysis for expressive DJ control. ### Production-Grade Reliability - ✅ **Zero data loss** - Atomic transactions with automatic backups - ✅ **Auto-recovery** - Reconnection, crash recovery, corruption detection - ✅ **50% faster** - Template caching (20-40ms recognition) - ✅ **Enterprise monitoring** - Real-time performance dashboard ### Multi-Modal Recognition - 📱 **Phone sensors** - Accelerometer + gyroscope (high precision) - 📹 **Video analysis** - Gemini Live (semantic understanding) - 🎯 **Sensor fusion** - Combine numerical + visual data - 🎓 **Template learning** - Statistical matching (mean + std) ### Training System - 📝 **15+ samples** per gesture - 🎯 **Practice mode** - Real-time feedback on 13 features - 📊 **Analytics** - Accuracy, consistency, trend analysis - 💾 **Session persistence** - Resume training after interruption No hardware required. Tests: - Database operations - Template training - Gesture recognition - Export/import - Auto-recovery

Promotion decision

What has to happen next

Attach run IDs, datasets, metrics, and reproduction commands.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.