Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling

doi:10.3390/s100807216

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Sensors 2010, 10(8), 7216-7235; doi:10.3390/s100807216

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Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling

Gregory C. May , Aiden R. Doherty * , Alan F. Smeaton and Giles D.Warrington

Centre for Sensor Web Technologies Dublin City University, Glasnevin, Dublin 9, Ireland

* Author to whom correspondence should be addressed.

Received: 20 June 2010; in revised form: 10 July 2010 / Accepted: 20 July 2010 / Published: 30 July 2010

(This article belongs to the Section Physical Sensors)

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Abstract: The sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are described. A novel algorithm to estimate the energy expenditure while cycling and resting during the event are outlined. Initial analysis in this noisy domain of “sensors in the field” are very encouraging and represent a first with respect to cycling.

Keywords: ultra-endurance cycling; body sensors; cycling event detection; estimating energy expenditure

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Cite This Article

MDPI and ACS Style

May, G.C.; Doherty, A.R.; Smeaton, A.F.; D.Warrington, G. Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling. Sensors 2010, 10, 7216-7235.

AMA Style

May G.C., Doherty A.R., Smeaton A.F., D.Warrington G. Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling. Sensors. 2010; 10(8):7216-7235.

Chicago/Turabian Style

May, Gregory C.; Doherty, Aiden R.; Smeaton, Alan F.; D.Warrington, Giles. 2010. "Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling." Sensors 10, no. 8: 7216-7235.

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