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Effective vision- and SoC-based fall detection for the elderly
Author(s): Kuo-Liang Chung; Chi-Huang Liao; Li-Ting Liu; De-Hao Liu; Yu-Sheng Chan; Jen-Shun Cheng
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Paper Abstract

In this paper, we propose a novel Vision- and system on chip (SoC)- based fall detection method for the elderly. Once, a fall event is detected, an alarm signal is immediately sent out to query first aid to the elderly. Our novel fall detection method consists of five effective steps: checking whether the light condition has been stabilized, GMM-based background and foreground estimation, a new strategy to solve the foreground lag problem, solving the false fall detection problem when light comes from a neighboring room, as well as the fall detection determination and the general-purpose input/output based warning mechanism. Based on the test videos, the experiments have been carried out demonstrate that our proposed fall detection method can meet the real-time, low cost, and high accuracy demands.

Paper Details

Date Published: 31 July 2019
PDF: 5 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980N (31 July 2019); doi: 10.1117/12.2540488
Show Author Affiliations
Kuo-Liang Chung, National Taiwan Univ. of Science and Technology (Taiwan)
Chi-Huang Liao, System Online Co., Ltd. (Taiwan)
Li-Ting Liu, National Taiwan Univ. of Science and Technology (Taiwan)
De-Hao Liu, National Taiwan Univ. of Science and Technology (Taiwan)
Yu-Sheng Chan, National Taiwan Univ. of Science and Technology (Taiwan)
Jen-Shun Cheng, National Taiwan Univ. of Science and Technology (Taiwan)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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