NDLI: Testing an in-home gait assessment tool for older adults

Content Provider	IEEE Xplore Digital Library
Author	Fang Wang Stone, E. Wenqing Dai Banerjee, T. Giger, J. Krampe, J. Rantz, M. Skubic, M.
Copyright Year	2009
Description	Author affiliation: Electrical and Computer Engineering Department at the University of Missouri, Columbia, MO 65211 (Fang Wang; Stone, E.; Wenqing Dai; Banerjee, T.; Skubic, M.) \|\| Sinclair School of Nursing at the University of Missouri, Columbia, MO 65211 (Krampe, J.; Rantz, M.) \|\| School of Social Work at the University of Missouri, Columbia, MO 65211 (Giger, J.)
Abstract	In this paper, we present results of an automatic vision-based gait assessment tool, using two cameras. Elderly residents from TigerPlace, a retirement community, were recruited to participate in the validation and test of the system in scripted scenarios representing everyday activities. The residents were first tested on a GAITRite mat, an electronic walkway that captures footfalls, and with inexpensive web cameras recording images. The extracted gait parameters from the camera system were compared with the GAITRite; excellent agreement was achieved. The residents then participated in the scenarios, with only the cameras recording. We found that the residents displayed different gait patterns during the realistic scenarios compared to the GAITRite runs. This finding provides support of the importance and advantage of continuous gait assessment in a daily living environment. Results on 4 elderly participants are included in the paper.
Starting Page	6147
Ending Page	6150
File Size	374736
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Senior citizens Cameras Monitoring Retirement Medical services USA Councils Automatic testing Recruitment System testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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