A data glove based on MEMS inertial sensors is designed. According to inertial navigation and rigid body dynamics theory

somatosensory network based on micro-sensor is constructed and obtain motion gesture information through fusion of multi-sensor data

realize data capture of finger movement of each joint. A kind of 3D virtual hand capture systems based on computer graphics technology is constructed to evaluate performance contrast. Experimental results show that the system has good stability and adaptability

which can effectively capture motion information of fingers in real time.