Modeling of Human Body for Animation by Micro-sensor Motion Capture

We present a human motion model and animation for micro-sensor motion capture system. It consists of a sensor data-driven layered human motion model and an animation method using polygon group to achieve skin deformation. This method is based on biomechanics. The joints of human body were categorized according to the motion characteristics. Motion parameters estimated from sensor data are used to control the movement of human skeleton model and the deformation of skin model, and consequently reconstruct the human body motion in real-time animation. The experiments have shown that the proposed model is suitable for sensor data-driven virtual human in real time animation.