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

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

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)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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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 GC, Doherty AR, Smeaton AF, 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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