Title :
The Possibility of Normal Gait Analysis Based on a Smart Phone for Healthcare
Author :
Susu Jiang ; Bofeng Zhang ; Guobing Zou ; Daming Wei
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
In this paper, through the inertial sensors or a smart phone to collect human walking gait data and then with periodic gait analysis to establish personal health counseling application. Based on regularly gait data analysis, it could find some special features of the person, such as dynamic symmetry of gait, cyclic stability of gait, and the walking patterns, also their changes with weekly or monthly. If the irregular or abnormal walking patterns like asymmetry or skew, stumbles or slip could be often detected, it may make early warning to the person that he or she may has the problem of body, possibly the falls risk.
Keywords :
data analysis; gait analysis; health care; sensors; smart phones; abnormal walking pattern; dynamic symmetry; early warning; gait cyclic stability; gait data analysis; healthcare; human walking gait data; inertial sensors; irregular walking pattern; normal gait analysis; periodic gait analysis; personal health counseling application; smart phone; walking patterns; Acceleration; Accelerometers; Foot; Intelligent sensors; Legged locomotion; Smart phones; gait analysis; healthcare; inertial sensor; smart phone; walking pattern;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.423