摘要
随着我国老龄化进程加快,老人看护问题日益突出,成为困扰家庭和社会的又一难题;针对这一社会问题,提出一种基于移动终端的智能看护系统;以STM32微处理器为控制核心,运用新型MEMS姿态传感器MPU6050实时采集人体运动状态信息,经过数据转换、滤波和姿态融合,结合人体加速度向量幅值SVM和姿态角特征量对传统阈值跌倒检测算法进行优化;以无线通信技术为桥梁,看护人可通过移动终端设备上的客户端软件对老人进行实时位置监控;经大量试验结果表明,该系统能够有效检测跌倒行为并报警,准确率高达98.5%,误判率仅0.71%,且客户端软件通过调用百度地图直观显示老人所在地理位置及周边环境;系统具有结构简单、操作简便、使用性强等优点,应用前景较为广泛。
With the acceleration of aging in China,the problem of elderly care is becoming more and more prominent,which has become another difficult problem for families and society.Aiming at this social problem,an intelligent nursing system based on mobile terminal is proposed,and a new MEMS attitude sensor is used as the control core of STM32 microprocessor MPU6050 Real-time collection of human motion state information,through data conversion,filtering and attitude fusion,combined with human acceleration vector amplitude SVM and attitude angle characteristics of the traditional threshold fall detection algorithm optimization;With wireless communication technology as the bridge,the caregiver can monitor the elderly in real time through the client software on the mobile terminal device.A large number of experimental results show that the system can effectively detect fall behavior and alarm,accuracy rate of up to 98.5%,miscalculation rate of only 0.71%,and client software through the call Baidu map to visualize the elderly location and surrounding environment,the system has the advantages of simple structure,simple operation,strong use and so on,the application prospect is more extensive.
作者
向琦
陈旭
王春城
刘满禄
任万春
Xiang Qi;Chen Xu;Wang Chuncheng;Liu Manlu;Ren Wanchun(School of Information Engineering, Southwest University of Science and Technology, Mianyang621000, China)
出处
《计算机测量与控制》
2019年第5期251-254,共4页
Computer Measurement &Control
基金
西南科技大学大学生创新基金项目资助(CX18-088)
核废物与环境安全协同创新中心预先研究基金项目(15yyk02)
