基于多传感融合的老年人跌倒检测系统

针对老龄化社会对老年人跌倒监测的现实需求，融合三轴加速度传感器、压力传感器与超声测距模块等多传感器信息，研制了便携式老年人跌倒监测系统。该系统以MSP430F149为控制器，通过ZigBee方式来实现监测系统与数据中心之间的通信。采取阈值判断算法来检测跌倒是否发生，并具有自动报警以及手动解除报警的功能。在系统的测试实验中，对于左倒、右倒、前倒、后倒、坐下、起跳和行走等7种人体运动姿态模式进行检测，正确率达99％。本系统的成功研制，可以为老年健康监测物联网提供功能支持，为发生跌倒的老年人得到及时的帮助。

Fall monitoring system for elderly people based on multi sensor data fusion technology

In the background of the growing demand of fall monitoring system for elderly people , a portable fall monitoring system is developed based on multi-information fusion of triaxial acceleration sensor , plantar pressure pickup and ultrasonic ranging device .Firstly ,MSP430F149 is selected as microcontroller ,and the ZigBee is used for the communication between the monitoring system and data center .Secondly ,the threshold technology is applied for fall recognition .The new system also had function of automatic alarm and manual lifting of the alarm .The experimental results shows that the recognition rate reaches at 99% for the body movement posture model ,include the falling left , falling right ,falling forward ,falling backward ,sitting down ,jumping ,and walk .The development of the system can provide function support for the IOT (internet of things) of health monitoring for elderly people ,especially can help the falling people in time .