Title :
Inclination gradient-based fall detection algorithm for wrist-worn device
Author :
ShengQian Zhou ; Jianxin Chen ; Xinzhi Wang ; Liang Zhou ; Baoyu Zhen ; Jingwu Cui
Author_Institution :
Key Lab. of Broadband Wireless Commun. & Sensor Network Technol. of Minist. of Educ., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Fall detection is one of the feasible solutions for solving the problem of aging of population. This paper presents an algorithm to detect falling for the elderly with one wrist-worn device. The algorithm has lower computation complexity to determine the fall event according to the inclination gradient. Experimental results show that it performs better than another similar devices with the average sensitivity and specificity of 94.44% and 100%, respectively.
Keywords :
accelerometers; geriatrics; medical signal processing; patient monitoring; computation complexity; elderly fall detection; fall event; inclination gradient based fall detection algorithm; wrist worn device; Accelerometers; Classification algorithms; Complexity theory; Legged locomotion; Performance evaluation; Senior citizens; Sensitivity;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2015.7216825
