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.

Research Focus

  • 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