Automatic Fall Detection using Smartphone Acceleration Sensor
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 12
Abstract
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.
Authors and Affiliations
Tran Tri Dang, Hai Truong, Tran Khanh Dang
Keywords
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- EP ID EP397297
- DOI 10.14569/IJACSA.2016.071216
- Views 98
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