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Published in: Medical & Biological Engineering & Computing 12/2010

01-12-2010 | Original Article

Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly

Authors: Adil Mehmood Khan, Young-Koo Lee, Sungyoung Lee, Tae-Seong Kim

Published in: Medical & Biological Engineering & Computing | Issue 12/2010

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Abstract

Mobility is a good indicator of health status and thus objective mobility data could be used to assess the health status of elderly patients. Accelerometry has emerged as an effective means for long-term physical activity monitoring in the elderly. However, the output of an accelerometer varies at different positions on a subject’s body, even for the same activity, resulting in high within-class variance. Existing accelerometer-based activity recognition systems thus require firm attachment of the sensor to a subject’s body. This requirement makes them impractical for long-term activity monitoring during unsupervised free-living as it forces subjects into a fixed life pattern and impede their daily activities. Therefore, we introduce a novel single-triaxial-accelerometer-based activity recognition system that reduces the high within-class variance significantly and allows subjects to carry the sensor freely in any pocket without its firm attachment. We validated our system using seven activities: resting (lying/sitting/standing), walking, walking-upstairs, walking-downstairs, running, cycling, and vacuuming, recorded from five positions: chest pocket, front left trousers pocket, front right trousers pocket, rear trousers pocket, and inner jacket pocket. Its simplicity, ability to perform activities unimpeded, and an average recognition accuracy of 94% make our system a practical solution for continuous long-term activity monitoring in the elderly.

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Metadata
Title
Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly
Authors
Adil Mehmood Khan
Young-Koo Lee
Sungyoung Lee
Tae-Seong Kim
Publication date
01-12-2010
Publisher
Springer-Verlag
Published in
Medical & Biological Engineering & Computing / Issue 12/2010
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-010-0701-3

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