センサフユージョンによる実時間頭部運動計測法

抄録

Most VR systems these days use unconstrained motion sensors like Polhemus Tracker, which has deficiencies of low sampling rate and critical latency. Some ad-hoc linear filters were proposed, but are known to be incomplete to rotatinal motion. We proposed the Sensor-Fusion-based method to the problem before. In this paper we improve this method by adopting quaternion and report its real-time implementation. We also propose to use normalized cross-correlation function to evaluate unconstrained sensors quantitatively.