Document Detail


Full body gait analysis with Kinect.
MedLine Citation:
PMID:  23366301     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Moshe Gabel; Ran Gilad-Bachrach; Erin Renshaw; Assaf Schuster
Publication Detail:
Type:  Clinical Trial; Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2012     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2012  
Date Detail:
Created Date:  2013-01-31     Completed Date:  2013-07-29     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1964-7     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Arm / physiology
Female
Gait / physiology*
Humans
Male
Middle Aged
Monitoring, Ambulatory / instrumentation*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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