Research and Design of Fall Detection System for the Elderly
Shenglan Zhang, Ma Shu-Wan, Luo Xiao-min, Yu Zhang, Cai Xin-yuan · 2018
This article designs a novel wearable fall detection system in allusion to the problem of accidentally fall for the elderly. This article adopts the research method of combination of multi-threshold judgment, the algorithm utilizes the research method of combining accelerated speed multi-threshold judgment and attitude angle threshold value judgment, and combining multiple parameters, when meeting multiple conditions at the same time, the system judges the behavior as fall. With the verification in a series of tests for different conditions of fall, the test results indicate the system can detect the event of unintentional falls effectively and give out the alarm information. It achieves the expected effect.