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

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

Centre for Sensor Web Technologies Dublin City University, Glasnevin, Dublin 9, Ireland
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Received: 20 June 2010 / Revised: 10 July 2010 / Accepted: 20 July 2010 / Published: 30 July 2010
(This article belongs to the Section Chemical 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 ultra-endurance cycling; body sensors; cycling event detection; estimating energy expenditure
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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