Real-time motion capture ford a human body using accelerometers

In this paper we propose a set of techniques for a real-time motion capture of a human body. The proposed motion capture system is based on low cost a ccelerometers, and is capable of identifying the body configuration by extr acting gravity-related terms from the sensor data. One sensor unit is compo sed of 3 accelerometers arranged orthogonally to each other, and is capable of identifying 2 rotating angles of joints with 2 degrees of freedom. A ge ometric fusion technique is applied to cope with the uncertainty of sensor data. A practical calibration technique is also proposed to handle errors i n aligning the sensing axis to the coordination axis. In the case where mot ion acceleration is not negligible compared with gravity acceleration, a co mpensation technique to extract gravity acceleration from the sensor data i s proposed. Experimental results not only for individual techniques but als o for human motion capturing with graphics are included.