A Real-time Low-complexity Fall Detection System On The Smartphone

被引：4
|
作者：
Qu, Weihao [1 ]
Lin, Feng [1 ]
Xu, Wenyao [1 ]
机构：
[1] Univ Buffalo, Dept Comp Sci & Engn, Buffalo, NY 14228 USA
来源：
2016 IEEE FIRST INTERNATIONAL CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE) | 2016年
关键词：
Fall detection; Android; Real-time; COMMUNITY;
D O I：
10.1109/CHASE.2016.73
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The importance of detecting falls in real-time is more and more emphasized recently. In this paper, we develop a real-time fall detection system on the smartphone. It is based on our low-complexity fall detection algorithm [1] that can detect the fall after the fall event happens. The system can distinguish dangerous falls by setting a monitoring time. The system is implemented on the Android platform and targeted on low energy consumption and fast processing, which can be seamlessly applied into wearable products.
引用
收藏
页码：354 / 356
页数：3
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