@inproceedings{d1dbb917bd0e4dcd9f6c024fcec88743,
title = "A Real-Time Low-Complexity Fall Detection System on the Smartphone",
abstract = "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.",
keywords = "Android, Fall detection, Real-time",
author = "Weihao Qu and Feng Lin and Wenyao Xu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 ; Conference date: 27-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "16",
doi = "10.1109/CHASE.2016.73",
language = "English",
series = "Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "354--356",
booktitle = "Proceedings - 2016 IEEE 1st International Conference on Connected Health",
address = "United States",
}