摘要
针对老人跌倒姿态识别的需求,设计了一套基于石墨烯/橡胶传感器与MPU6050的老人跌倒姿态实时识别系统。石墨烯/橡胶传感器位于膝盖处,传感器的电阻会随着腿部运动而发生变化,从而实现对腿部运动状态检测;MPU6050安装在人体上身,用来监测人体正常状态和意外跌倒时加速度水平。系统硬件设计以MSP430F149单片机为核心,设计了传感器信号调理模块、主控电路模块、电源模块、MPU6050接口模块、报警模块、蓝牙模块。系统分别采集石墨烯/橡胶传感器与MPU6050的输出信号,并且通过跌倒监测算法判断是否出现跌倒,通过报警模块将老人的位置信息连同跌倒姿态以短信的形式发送至监护人手机上,构建完整的监测网络。实验结果表明系统监测跌倒的准确率达95.84%,跌倒姿态的准确率达90..84%,能够实现对老人跌倒姿态的实时识别。
In order to meet the needs of elderly fall posture recognition,a real-time system based on graphene/rubber sensor and MPU6050 is designed.The graphene/rubber sensor is placed at the knee and the resistance of the sensor changes as the leg moves,to achieve the detection of leg movement.The MPU6050 is placed on the upper body to monitor the normal state of the human body and the acceleration level when accidentally falls.As the kennel component,MSP430F149 is used to propose the hardware system,which includes sensor monitoring module,kennel controlling module,power module,MPU6050 interface module,alerting module and blue teeth module.The proposed system collects the output signals of the graphene/rubber sensor and the MPU6050 respectively,and judges whether there is a fall from a monitoring algorithm.When the fall information or the alarm information was detected,the system remind the danger through the alarm module.At the same time,the falling information and location are sent to the specified mobile phone by short message so as to establish a monitoring network.Experimental results show that the accuracy rate of monitoring falls and falling posture are 95.84%and 90.84%,respectively,which can realize the real-time recognition of the fall posture of the elderly.
作者
徐涛
孙威
色海锋
卢少微
王晓强
马克明
XU Tao;SUN Wei;SE Hai-feng;LU Shao-wei;WANG Xiao-qiang;MA Ke-ming(Faculty of Automation, Shenyang Aerospace University, Shenyang 110136;College of Material Science and Engineering,Shenyang Aerospace University, Shenyang 110136;Faculty of Aerospace Engineering ,Shenyang Aerospace University, Shenyang 110136)
出处
《沈阳航空航天大学学报》
2019年第1期63-70,共8页
Journal of Shenyang Aerospace University
作者简介
徐涛(1971-),男,辽宁阜新人,副教授,博士,主要研究方向:新型传感器及应用,E-mail:xutao@sau.edu.cn。
