A gait retraining feedback system based on wearable sensors

The purpose of this study is to develop a gait retraining feedback system based on wearable sensors for the gait training and the recovery of knee osteoarthritis patients. The system is mainly composed of one motion sensor, six plantar pressure sensors, vibrator and upper computer. The foot progression angle of subject measured by the motion sensor was transmitted to a upper computer through a WIFI module. The judgment for foot progression angle by PC was then sent to the motion sensor for the feedback of gait retraining by a vibrator. In order to validate the training effect of the system, walking experiments of simulated patients was conducted. The results show that the gait retraining system can have a effective influence on the gait in real time and can be used to train the walking gait to reduce the knee adduction moment.