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Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling

May, Gregory and Doherty, Aiden R. and Smeaton, Alan F. and Warrington, Giles (2010) Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling. Sensors, 10 (8). pp. 7216-7235. ISSN 1424-8220

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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.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:ultra-endurance cycling; body sensors; cycling event detection; estimating energy expenditure;
Subjects:Computer Science > Machine learning
Computer Science > Information technology
Medical Sciences > Performance
Computer Science > Algorithms
Medical Sciences > Physiology
Medical Sciences > Sports sciences
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:MDPI Publishing
Official URL:http://dx.doi.org/10.3390/s100807216
Copyright Information:Copyright 2010 the authors.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15584
Deposited On:03 Aug 2010 10:09 by Dr Aiden Doherty. Last Modified 11 Jun 2012 09:19

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