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.
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Publication Type = Article
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DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
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Status = Published
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DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Science and Health
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Dublin City University ->
Subject = Medical Sciences: Sports sciences
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Subject = Medical Sciences: Performance
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DCU Faculties and Centres = Research Initiatives and Centres
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
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Subject = Computer Science
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DCU Faculties and Centres = DCU Faculties and Schools
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
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Subject = Medical Sciences
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Subject = Computer Science: Algorithms
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DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Science and Health: School of Health and Human Performance
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Dublin City University ->
Subject = Computer Science: Information technology
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
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Dublin City University ->
Subject = Computer Science: Machine learning
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Dublin City University ->
Subject = Medical Sciences: Physiology
Giles Warrington,
Alan F. Smeaton,
Aiden R. Doherty,
Gregory May