Wearable Sensor Project
Wearable Sensor Networks
- Implement real-time human motion capture to drive avatar smoothly using micro-sensors (MMocap).
Develop real-time gesture and body language recognition, based on the motion capture data.
Develop 3-D mouse functions using micro-sensors.
- Build Human motion model to represent the MMocap.
- Fusion of multimodal sensor data to acheive high accuracy and low drift.
- Fusion of the segemeted motion models to obtain whole body motion model.
- Build a power efficient and low error rate motion model.
- Human action/activity recognition system.
- Inter-communication issues in Body Sensor Networks