A Comparative Study of LSTM and Phased LSTM for Gait Prediction

摘要

With an aging population that continues to grow, the protection and assistance of the older persons hasbecome a very important issue. Fallsare the main safety problems of the elderly people, so it is veryimportant to predict the falls. In this paper, a gait prediction method is proposed based on two kinds ofLSTM. Firstly, the lumbar posture of the human body is measured by the acceleration gyroscope as the gaitfeature, and then the gait is predicted by the LSTM network. The experimental results show that the RMSEbetween the gait trend predicted by the method and the actual gait trend can be reached a level of 0.06 ?±0.01. And the Phased LSTM has a shorter training time. The proposed method can predict the gait trend well.