计算机与现代化

• 网络与通信 • 上一篇    下一篇

老年人运动状态监测和跌倒报警系统

  

  1. (1.西安邮电大学研究生院,陕西西安710121;2.陕西科技大学电子信息与人工智能学院,陕西西安710021;
    3.西安邮电大学电子工程学院,陕西西安710121)
  • 收稿日期:2019-12-25 出版日期:2020-05-20 发布日期:2020-05-21
  • 作者简介:刘勃(1974-),男,陕西西安人,工程师,硕士,研究方向:现代信号处理,E-mail: liubo@xupt.edu.cn; 王明伟(1976-),男,陕西咸阳人,副教授,博士,研究方向:无线通信,E-mail: wangmingwei@sust.edu.cn; 常立博(1985-),男,陕西商洛人,工程师,研究方向:计算机体系结构,E-mail: changlibo@xupt.edu.cn。
  • 基金资助:
    国家科技重大专项项目(2017ZX03001012); 咸阳市工业重点研发项目(2019K02-17)

A System of Sports Monitoring and Fall Warning for Elderly

  1. (1. Graduate School, Xi’an University of Posts and Telecommunications, Xi’an 710121, China;
    2. College of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an 710021, China;
    3. School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)
  • Received:2019-12-25 Online:2020-05-20 Published:2020-05-21

摘要: 体育锻炼是促进老年人健康长寿的有效手段之一。为了对老年人的运动状态进行实时监测,掌握运动状态参数,并能够对老年人不慎意外踏空或者某种疾病突发导致的跌倒及时报警,设计一种能够实时监测老年人跌倒动作发生并发送定位及报警信息给远程接收端的便携式监测系统。系统采用腰部三轴加速度传感器实时采集人体运动姿态数据;使用嵌入式处理器和无线网络实现数据处理、无线传输和远程报警;通过三级阈值的人体跌倒检测算法,实现人体跌倒姿态变化的加速度特征提取,对人体运动状态进行分级,预测严重的跌倒行为。实验结果表明:该系统具有性能稳定、正确率高和轻巧方便等特点,非常适合老年人穿戴使用,可保障老年人运动安全,应用前景广阔。

关键词: 跌倒检测, 加速度传感器, 嵌入式处理器, 无线传输

Abstract: Physical exercise is one of the effective means to promote the old people’s health and longevity. In order to monitor the motion state of the elderly in real time, master the motion state parameters, and alarm the elderly for falls caused by an accident or a sudden disease, a portable human fall monitoring system is designed, which can monitor falls of the elderly in real time and send the location and alarm information to remote receiver. The system collects the motion attitude data of human body in real time by the three-axis acceleration sensor placed at the waist. The embedded processor and wireless network are used to realize data processing, wireless transmission and remote alarm. The three-level threshold human fall detection algorithm is used to extract the acceleration characteristics of human fall posture change, grade the human motion state, and predict the serious fall behavior. The experimental results show that the system has the characteristics of stable performance, high accuracy, light and convenient, which is very suitable for the elderly to wear and use, and can ensure the elderly movement safety, and has a broad application prospect.

Key words: fall detection, acceleration sensor, embedded processor, wireless transmission

中图分类号: