Bofan Liang¹ and Qili Chen^1,2,3, ¹Beijing Information Science and Technology University, China, ²Beijing University of Technology, China and ³Beijing Key Laboratory of Computational Intelligence and Intelligent System, China

With an aging population that continues to grow, the protection and assistance of the older persons has become a very important issue. Falls are the main safety problems of the elderly people, so it is very important to predict the falls. In this paper, a gait prediction method is proposed. Firstly, the lumbar posture of the human body is measured by the acceleration gyroscope as the gait feature, and then the gait is predicted by the LSTM network. The experimental results show that the RMSE between the gait trend predicted by the method and the actual gait trend can be reached a level of 0.06 ± 0.01. The proposed method can predict the gait trend well.

Elderly people fall, Acceleration gyro, Lumbar posture, Gait prediction, LSTM