计算机应用 ›› 2012, Vol. 32 ›› Issue (05): 1450-1452.

• 典型应用 • 上一篇    下一篇

基于三轴加速度传感器的人体跌倒检测系统设计与实现

王荣1,章韵2,陈建新1   

  1. 1. 南京邮电大学 计算机学院,南京 210003
    2. 南京邮电大学
  • 收稿日期:2011-10-25 修回日期:2011-12-08 发布日期:2012-05-01 出版日期:2012-05-01
  • 通讯作者: 陈建新
  • 作者简介:王荣(1985-),女,辽宁海城人,硕士研究生,主要研究方向:计算机通信;
    章韵(1963-),男,安徽芜湖人,教授,博士,主要研究方向:计算机网络、物联网;
    陈建新(1973-),男,江苏南通人,讲师,博士,主要研究方向:可穿戴传感网、物联网。
  • 基金资助:
    国家973计划项目(2011CB302903);南京邮电大学引进人才项目(NY207021)

Design and implementation of fall detection system using tri-axis accelerometer

  • Received:2011-10-25 Revised:2011-12-08 Online:2012-05-01 Published:2012-05-01
  • Contact: CHEN Jian-xin

摘要: 为了满足老年人的护理需求,减少老年人因跌倒造成的身心伤害,提出了一种基于三轴加速度传感器的人体跌倒检测系统。该系统主要基于姿态测量特性,利用姿态角作为跌倒判断标准;并且考虑到噪声影响和跌倒检测系统对检测正确率的高要求,利用Kalman滤波算法来提高算法精确度。实验结果表明该系统在人体前后、侧向跌倒和跌倒后迅速站起的情况下可以100%报警,达到人体正常跌倒情况的检测标准。

关键词: 跌倒检测, 三轴加速度传感器, 姿态角, 卡尔曼滤波, 远程监护

Abstract: In order to satisfy the requirements of the elderly care, and lessen the physical and psychological hurt caused by falling, the authors presented a fall detection system using a tri-axis accelerometer. The study idea was based on the attitude estimation using tri-axis accelerometer for the judgment of falling detection. In addition, considering the impact from the noise and the high accuracy of the falling detection system, the Kalman filtering algorithm was used to improve the system's reliability. The experimental results show that the system can alarm 100% when the human body is falling fore-and-aft, laterally and rapidly rising after falling, and can achieve the detection level of normal human falling.

Key words: fall detection, tri-axis accelerometer, attitude angle, Kalman filtering, telecare

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