Document Detail


Tracking Exercise Motions of Older Adults Using Contours.
MedLine Citation:
PMID:  21785615     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In this paper we describe the development of a novel markerless motion capture system and explore its use in documenting elder exercise routines in a health club. This system uses image contour tracking and swarm intelligence methods to track the location of the spine and shoulders during three exercises - treadmill, exercise bike, and overhead lateral pull-down. Validation results show that our method has a mean error of approximately 2 degrees when measuring the angle of the spine or shoulders relative to the horizontal. Qualitative study results demonstrate that our system is capable of providing important feedback about the posture and stability of elders while they are performing exercises. Study participants indicated that feedback from our system would add value to their exercise routines.
Authors:
Timothy C Havens; Gregory L Alexander; Carmen C Abbott; James M Keller; Marjorie Skubic; Marilyn Rantz
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Journal of Applied Computer Science Methods     Volume:  2     ISSN:  1689-9636     ISO Abbreviation:  -     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2011-7-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101550790     Medline TA:  J Appl Comput Sci Methods     Country:  -    
Other Details:
Languages:  ENG     Pagination:  21-42     Citation Subset:  -    
Affiliation:
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
L30 AG030776-02//NIA NIH HHS

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