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A research on automatic human fall detection method based on wearable inertial force information acquisition system

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4 Author(s)
Lina Tong ; Autom. Dept., Univ. of Sci. & Technol. of China, Hefei, China ; Wei Chen ; Quanjun Song ; Yunjian Ge

Frequent and high-risk fall accidents of the elders have become a serious medical and social problem. In this paper, a wireless automatic human fall detection device based on tri-axis accelerator is designed and realized; and a novel method to distinguish fall events from other daily activities is proposed also, including multi-impact falls and rolling down falls. In the real application, the device is worn on upper trunk of human body, with the algorithm focusing on the impact during a fall and the orientation of trunk before the fall and after it. At last, experiment is performed on some typical daily activities, such as walking, stand-to-sit, stand-to-squat, fall frontward, sideways, etc, and it has shown good results in high detection rate and low positive false rate.

Published in:

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Date of Conference:

19-23 Dec. 2009