计算机工程与科学2017，Vol.39Issue(2)：330-335,6.DOI:10.3969/j.issn.1007-130X.2017.02.017
基于加速度传感器的人体跌倒检测方法
A human fall detection algorithm based on acceleration sensor
摘要
Abstract
Aiming at the accuracy degradation problem caused by improper threshold setting for human fall detection threshold algorithms,we introduce the support vector machine to select thresholds.We obtain human motion information from an acceleration sensor,and extract acceleration and angle as classification features.We propose a fall detection model based on thresholds according to the three stages of human fall:free fall,hitting the ground and stationary.The fall detection model sets thresholds by the support vector machine and manual method respectively,and simulation results show that compared with the manual-threshold-setting method,the accuracy of the proposal is higher,which proves the effectiveness of the proposed method.关键词
跌倒检测/阈值算法/支持向量机/加速度传感器Key words
fall detection/threshold algorithm/support vector machine/acceleration sensor分类
信息技术与安全科学引用本文复制引用
孙子文,孙晓雯..基于加速度传感器的人体跌倒检测方法[J].计算机工程与科学,2017,39(2):330-335,6.基金项目
国家自然科学基金(61373126) （61373126）
江苏省自然科学基金(BK20131107) （BK20131107）
中央高校基本科研业务费专项资金(JUSRP51510) （JUSRP51510）
