| Tracking Exercise Motions of Older Adults Using Contours. | |
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MedLine Citation:
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PMID: 21785615 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Timothy C Havens; Gregory L Alexander; Carmen C Abbott; James M Keller; Marjorie Skubic; Marilyn Rantz |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Journal of Applied Computer Science Methods Volume: 2 ISSN: 1689-9636 ISO Abbreviation: - Publication Date: 2009 Jan |
Date Detail:
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Created Date: 2011-7-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101550790 Medline TA: J Appl Comput Sci Methods Country: - |
Other Details:
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Languages: ENG Pagination: 21-42 Citation Subset: - |
Affiliation:
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Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA. |
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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L30 AG030776-02//NIA NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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