基于腕部可穿戴设备的跌倒监护系统设计与实现

Design and implementation of a fall monitoring system based on wrist wearable devices

摘要:

随着社会老龄化加快,老年人或病人的人工监护成本越来越高,针对目前各种跌倒监测装置的不足,设计了一款基于腕部智能穿戴设备的生理体征采集、跌倒监测和报警系统,该装置通过集成的各种传感器采集腕部高度、加速度、角速度等体征信号,并采用合适的算法实现了跌倒检测报警功能。实验结果表明,通过佩戴本文设计的腕部智能穿戴设备可以较好地实现对跌倒行为和日常非跌倒行为的区分,在不影响佩戴者舒适度情况下行为检出率可达到98.5%。

Abstract:

With the accelerated aging of the society, the cost of manual monitoring for the elderly or patients is getting higher and higher. Aiming at the shortage of all kinds of fall monitoring devices, a system of physiological signal acquisition, fall monitoring and remote alarm based on the wrist smart wearer is designed. The device collects the wrist height ,accelerates and angular velocity through the integrated sensors., and designed appropriate algorithm to relized the fall detection and remote alarm functions. The experimental results show that the smart wearer designed by this article can distinguish between the fall behavior and the daily non fall behavior better, and the detection rate can reach 98.5% without affecting the wearer"s comfort.