DocumentCode :
3723810
Title :
Investigating running gait using a shoe-integrated wireless inertial sensor
Author :
Di-Kiat Chew;Darwin Gouwanda;Alpha. A. Gopalai
Author_Institution :
School of Engineering, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Inertial sensor have been widely used to analyze human walking, but only few studies used inertial sensor to analyze running gait. This paper presented the use of inertial sensor to identify running gait phases and to estimate running speed. An experimental study were conducted to validate the feasibility of this approach. In this experiment, sensor were positioned on top of the third metatarsal of the foot. Subjects were requested to run at 8 km/h - 11 km/h. Raw acceleration and angular velocity were recorded. An off-phase segmentation was then employed to segment the running sequence into individual stride. The orientation of the foot was determined through integration and the running speed was estimated by integrating the acceleration data. The results were satisfactory. The root mean square error (RMSE) were found to be ranging between 4.54% and 5.59% for all the estimated running speed.
Keywords :
"Foot","Biomechanics","Motion segmentation","Facsimile"
Publisher :
ieee
Conference_Titel :
TENCON 2015 - 2015 IEEE Region 10 Conference
ISSN :
2159-3442
Print_ISBN :
978-1-4799-8639-2
Electronic_ISBN :
2159-3450
Type :
conf
DOI :
10.1109/TENCON.2015.7373054
Filename :
7373054
Link To Document :
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