Effective vision- and SoC-based fall detection for the elderly

Kuo-Liang Chung; Chi-Huang Liao; Li-Ting Liu; De-Hao Liu; Yu-Sheng Chan; Jen-Shun Cheng

doi:10.1117/12.2540488

31 July 2019 Effective vision- and SoC-based fall detection for the elderly

Kuo-Liang Chung, Chi-Huang Liao, Li-Ting Liu, De-Hao Liu, Yu-Sheng Chan, Jen-Shun Cheng

Proceedings Volume 11198, Fourth International Workshop on Pattern Recognition; 111980N (2019) https://doi.org/10.1117/12.2540488
Event: Fourth International Workshop on Pattern Recognition, 2019, Nanjing, China

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.

Citation Download Citation

Kuo-Liang Chung, Chi-Huang Liao, Li-Ting Liu, De-Hao Liu, Yu-Sheng Chan, and Jen-Shun Cheng "Effective vision- and SoC-based fall detection for the elderly", Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980N (31 July 2019); https://doi.org/10.1117/12.2540488

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