Estimation of physical constraint condition by analyzing walking motions.

In this paper, the estimation system of physical constraint conditions is proposed using motion data during walks. Walking motions of subjects who are fixed braces on their bodies were measured by a motion capturing system. We focused on the acceleration data on the body and found which parts in the body are influenced by the physical constraint. The estimation of the physical constraint condition was done by Hidden Markov Model (HMM) based on the reliability map created from the recognition rate. Experimental result shows that we can efficiently estimate the constraint condition by using data of the particular body parts.