Sensor Number Reduction in Skeleton Estimation from Magnetic Motion Capture Data

Abstract

In this paper, we try to reduce the number of sensors used in skeleton estimation from magnetic motion capture data. A disadvantage of limiting the subject's motion caused by wiring for sensors can thereby be reduced. We remove the sensors attached to the lower legs and forearms. The parameters related to non-sensor body segments are estimated based on the biomechanical structure of the human body. Experimental results showed that the parameters were properly estimated by the present method, even though the number of sensors was reduced.