基于三轴加速度传感器的人体跌倒检测系统设计与实现  

Design and implementation of fall detection system using tri-axis accelerometer

作　　者：王荣[1] 章韵[1] 陈建新[1] 

机构地区：[1]南京邮电大学计算机学院,南京210003

出　　处：《计算机应用》2012年第5期1450-1452,1456,共4页journal of Computer Applications

基　　金：国家973计划项目(2011CB302903);南京邮电大学引进人才项目(NY207021)

摘　　要：为了满足老年人的护理需求,减少老年人因跌倒造成的身心伤害,提出了一种基于三轴加速度传感器的人体跌倒检测系统。该系统主要基于姿态测量特性,利用姿态角作为跌倒判断标准;并且考虑到噪声影响和跌倒检测系统对检测正确率的高要求,利用Kalman滤波算法来提高算法精确度。实验结果表明该系统在人体前后、侧向跌倒和跌倒后迅速站起的情况下可以100%报警,达到人体正常跌倒情况的检测标准。In order to satisfy the requirements of the elderly care, and lessen the physical and psychological hurt caused by falling, the authors presented a faU detection system using a tri-axis accelerometer. The study idea was based on the attitude estimation using tri-axis accelerometer for the judgment of falling detection. In addition, considering the impact from the noise and the high accuracy of the falling detection system, the Kalman filtering algorithm was used to improve the system＇s reliability, The experimental restflts show that the system can alarm 100% when the human body is failing fore-and-aft, laterally and rapidly rising after falling, and can achieve the detection level of normal human fallinz.

关 键 词：跌倒检测 三轴加速度传感器 姿态角 卡尔曼滤波 远程监护 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]