A Study on Accuracy Improvement of Gait Analysis using Wearable Force Plates

This paper deals with an accuracy improvement of gait analysis by using wearable force plates. In this study, we propose the method using Extended Kalman filter for reducing the error by acceleration integration and the estimation method of gait trajectory during grounding by using the COP and posture information obtained from wearable force plates. The gait velocity is compensated by using the condition of grounding, and the covariance matrix about process noise of Extended Kalman filter was set to coordinate with the final value of position in traveling direction. The measurement experiment was conducted by using the wearable force plates and the motion capture system. The positon information obtained from motion capture system and the wearable force plates indicated the similar trend. This method will be used to gait analysis using the wearable force plate, and the method will be able to extend for accuracy improvement of gait analysis using the wearable force plates.