Universal algorithm for exercise rate estimation in walking, cycling and rowing using triaxial accelerometry

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

Universal algorithm for exercise rate estimation in walking, cycling and rowing using triaxial accelerometry

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

Wang, N

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Publication Type:: Journal Article
Citation:: Electronics Letters, 2009, 45 (8), pp. 394 - 395
Issue Date:: 2009-04-20

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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	2009-04-20	en_US
dc.identifier.citation	Electronics Letters, 2009, 45 (8), pp. 394 - 395	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9061
dc.description.abstract	A technique that can reliably monitor exercise intensity plays an important role for the effectiveness and safety of an exercise prescription. A universal algorithm for the recursive estimation of exercise rate during a variety of aerobic exercises using measurements from a body-mounted triaxial accelerometer (TA) is proposed. Information about the type of exercise is not required by the algorithm and the TA can be mounted at the same location regardless of the exercise type. The algorithm involves period detection and data fusion. Experimental results demonstrate that the algorithm is effective for common aerobic exercises. © The Institution of Engineering and Technology 2009.	en_US
dc.relation.ispartof	Electronics Letters	en_US
dc.relation.isbasedon	10.1049/el.2009.3515	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Universal algorithm for exercise rate estimation in walking, cycling and rowing using triaxial accelerometry	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	45	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	ISI:000265234100007	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.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	45	en_US

Abstract:

A technique that can reliably monitor exercise intensity plays an important role for the effectiveness and safety of an exercise prescription. A universal algorithm for the recursive estimation of exercise rate during a variety of aerobic exercises using measurements from a body-mounted triaxial accelerometer (TA) is proposed. Information about the type of exercise is not required by the algorithm and the TA can be mounted at the same location regardless of the exercise type. The algorithm involves period detection and data fusion. Experimental results demonstrate that the algorithm is effective for common aerobic exercises. © The Institution of Engineering and Technology 2009.

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http://hdl.handle.net/10453/9061