Exercise rate estimation using a triaxial accelerometer

Cheng, TM; Savkin, AV; Celler, BG; Su, SW; Wang, N

Exercise rate estimation using a triaxial accelerometer

Cheng, TM Savkin, AV Celler, BG Su, SW

Wang, N

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Publication Type:: Conference Proceeding
Citation:: BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing, 2009, pp. 535 - 538
Issue Date:: 2009-07-21

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Field	Value	Language
dc.contributor.author	Cheng, TM	en_US
dc.contributor.author	Savkin, AV	en_US
dc.contributor.author	Celler, BG	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Wang, N	en_US
dc.date.issued	2009-07-21	en_US
dc.identifier.citation	BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing, 2009, pp. 535 - 538	en_US
dc.identifier.isbn	9789898111654	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11109
dc.description.abstract	In this paper, we propose an algorithm for the estimation of exercise rate during a variety of exercises by using measurements from triaxial accelerometry. The algorithm involves the detection of the periodicity of the body's accelerations, and the detected periods are then fused to form an estimate of exercise rate. Experimental results demonstrate that the algorithm is effective in different modes of exercise. The proposed algorithm will be useful in monitoring training exercises for healthy individuals and rehabilitation exercises for cardiac patients. ©2009 INSTICC - Institute for Systems and Technologies of Information, Control and Communication.	en_US
dc.relation.ispartof	BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing	en_US
dc.title	Exercise rate estimation using a triaxial accelerometer	en_US
dc.type	Conference Proceeding
utslib.for	0909 Geomatic Engineering	en_US
dc.location.activity	Portugal	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

In this paper, we propose an algorithm for the estimation of exercise rate during a variety of exercises by using measurements from triaxial accelerometry. The algorithm involves the detection of the periodicity of the body's accelerations, and the detected periods are then fused to form an estimate of exercise rate. Experimental results demonstrate that the algorithm is effective in different modes of exercise. The proposed algorithm will be useful in monitoring training exercises for healthy individuals and rehabilitation exercises for cardiac patients. ©2009 INSTICC - Institute for Systems and Technologies of Information, Control and Communication.

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http://hdl.handle.net/10453/11109