老人跌倒姿态检测研究  

A Study on Detection to Elder People Falling Posture

作　　者：蔡长青[1] 王鹏[1] CAI Chang-qing(Changchun Institute of Technology,Changchun 130012,China)

机构地区：[1]长春工程学院,长春130012

出　　处：《长春工程学院学报（自然科学版）》2019年第4期29-34,共6页Journal of Changchun Institute of Technology：Natural Sciences Edition

摘　　要：通过MPU6050六轴传感器在3个方向上检测老年人的加速度和倾斜度值,并将数据传输到CC2530微处理器。经过CC2530调整数据后,使用Zigbee无线通信技术将数据传输到养老院中的智能终端STM32主控制器。主控制器结合多阈值判断跌倒算法确定老人是否摔倒,摔倒后发出警报,并在主机界面上显示警报提示。主要用于解决跌倒姿态的判断,通过对比人不同静止与运动状态下区域加速度强度SMA和加速度强度SMV的值以及倾斜角的不同,区分出人跌倒与日常其他行为事件。The MPU6050 six-axis sensor detects the acceleration and inclination values of the elder people in three directions and transmits the data to the CC2530 microprocessor.After CC2530 adjusting the data,Zigbee wireless communication technology is used to transmit the data to the main controller of smart terminal STM32 in the nursing home.The main controller determines whether the elder people falls or not by combining with the multi-threshold algorithm for judging falls.After the fall,an alarm is issued and an alarm prompt is displayed on the host screen.This paper is mainly used to judge falling posture.By comparing the regional acceleration intensity SMA and SMV values of acceleration intensity as well as the difference of inclination angles under different static and motion states,it can distinguish falling from other daily behavior events.

关 键 词：MPU6050 多阈值判断跌倒算法 跌倒姿态判断 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]