Automatic Fall Detection using Smartphone Acceleration Sensor

被引：0
|
作者：
Tran Tri Dang [1 ]
Hai Truong [1 ]
Tran Khanh Dang [1 ]
机构：
[1] Ho Chi Minh City Univ Technol, VNU HCM, Falculty Comp Sci & Engn, Ho Chi Minh City, Vietnam
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2016年 / 7卷 / 12期
关键词：
fall detection; long lie detection; acceleration sensor; smartphone; personal healthcare;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we describe our work on developing an automatic fall detection technique using smart phone. Fall is detected based on analyzing acceleration patterns generated during various activities. An additional long lie detection algorithm is used to improve fall detection rate while keeping false positive rate at an acceptable value. An application prototype is implemented on Android operating system and is used to evaluate the proposed technique performance. Experiment results show the potential of using this app for fall detection. However, more realistic experiment setting is needed to make this technique suitable for use in real life situations.
引用
收藏
页码：123 / 129
页数：7
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