Author(s)

Xuri Kou and Chengjun Xie

Corresponding Author

Chengjun Xie

Abstract

Today's society is facing the problem of aging of the population, and reports of injuries received by the elderly in their lives are common. Therefore, people attention to posture recognition of the elderly is getting more and more attention. This article mainly collects data through the mobile phone's gyroscope, and then uses Kmeans clustering for data processing. The classification results obtained are good, which can solve the problem of the elderly's posture recognition to a certain extent, and then can determine whether the elderly fall. This research provides a strong guarantee for the safety of the elderly.

Keywords

Gesture Recognition; Gyroscope; Kmeans Clustering