DocumentCode
3515646
Title
A mobile motion capture system based on inertial sensors and smart shoes
Author
Pyeong-Gook Jung ; Gukchan Lim ; Kyoungchul Kong
Author_Institution
Dept. of Mech. Eng., Sogang Univ., Seoul, South Korea
fYear
2013
fDate
6-10 May 2013
Firstpage
692
Lastpage
697
Abstract
Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.
Keywords
cameras; image motion analysis; image sensors; mobile computing; portable computers; sensor fusion; Gimbal lock effect; frequency-adaptive sensor fusion method; ground reaction forces; health-care; inertial sensors; infrared cameras; kinematic model; mobile computer; mobile three-dimensional motion capture system; outdoor sports; posture analysis; posture diagnosis; sensor signals; smart shoes; sport-training systems; vision cameras; vision-based motion capture systems; Accelerometers; Estimation; Footwear; Quaternions; Sensor fusion; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location
Karlsruhe
ISSN
1050-4729
Print_ISBN
978-1-4673-5641-1
Type
conf
DOI
10.1109/ICRA.2013.6630648
Filename
6630648
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