Micro-sensor driven human model for 3D real-time movement

Abstract

A human model for the human motion capture and reconstruction was set up and the real-time movement of human model controlled by real people's movement was realized. According to the features of the system of the human motion capture and reconstruction,the authors proposed a method of constructing a sensor data-driven layered human motion model and a method of polygon grouping to achieve skin deformation. The methods are based on biomechanics. The joints of human body were categorized according to the motion characteristics. Motion parameters estimated from sensor data were 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 experimental results show that the proposed model is suitable for sensor data-driven virtual-human in real-time animation and has good biomechanics characteristics in representing human motion.