android跌倒检测,基于Android手机的老人跌倒检测方法的研究与设计

Research and Design of Fall Detection for Elderly People Based on Android

DUAN Yasu

1

段亚素(1991-)，女，北京邮电大学14级硕士研究生，主要研究方向：移动端应用

YU Wen

1

余文(1964-)，男，北京邮电大学计算机学院副教授，主要研究方向：高性能计算、分子计算及神经网络计算等

1、School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876

Abstract：With the aging of China's population and the change of China's family structure, the proportion of empty-nest families is increasing year by year. In order to reduce the pressure of young people to support the elderly, this paper takes the advantages of the universality of Android phones to design a fall detection algorithm for elderly people. The system is based on the change of acceleration and height value of the body. Through the process of data acquisition, data filtering, data feature extraction and so on, and on the basis of the existing methods, the statistical analysis of weightlessness data is introduced to distinguish the fall behavior form other behavior. When the fall is detected, the system will send the location and other information of the elderly to the guardian in the form of notice. Experiments show that the android-based system of fall detection for the elderly has high accuracy rate.