Body posture prediction based on the sequence to sequence model

Abstract

The prediction of body posture is necessary for preventing the falls of elderly people. The prediction accuracy of traditional methods will get worse when the predicting time becomes longer. This paper focuses on the body posture prediction accuracy of the sequence to sequence model. The posture model of waist, foot, and shoulders was built and tested. The experiments show that sequence to sequence model has a high prediction performance.