DocumentCode :
2087171
Title :
Full body gait analysis with Kinect
Author :
Gabel, M. ; Gilad-Bachrach, R. ; Renshaw, E. ; Schuster, Assaf
Author_Institution :
Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
1964
Lastpage :
1967
Abstract :
Human gait is an important indicator of health, with applications ranging from diagnosis, monitoring, and rehabilitation. In practice, the use of gait analysis has been limited. Existing gait analysis systems are either expensive, intrusive, or require well-controlled environments such as a clinic or a laboratory. We present an accurate gait analysis system that is economical and non-intrusive. Our system is based on the Kinect sensor and thus can extract comprehensive gait information from all parts of the body. Beyond standard stride information, we also measure arm kinematics, demonstrating the wide range of parameters that can be extracted. We further improve over existing work by using information from the entire body to more accurately measure stride intervals. Our system requires no markers or battery-powered sensors, and instead relies on a single, inexpensive commodity 3D sensor with a large preexisting install base. We suggest that the proposed technique can be used for continuous gait tracking at home.
Keywords :
gait analysis; kinematics; Kinect sensor; arm kinematics; diagnosis; full body gait analysis; health indicator; human gait; monitoring; rehabilitation; stride information; Accuracy; Foot; Humans; Joints; Robustness; Standards; Adult; Arm; Female; Gait; Humans; Male; Middle Aged; Monitoring, Ambulatory; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346340
Filename :
6346340
Link To Document :
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