May, Gregory, Doherty, Aiden R. ORCID: 0000-0003-1840-0451, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 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
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.
Metadata
Item Type: | Article (Published) |
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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 09:09 by Dr Aiden Doherty . Last Modified 04 Oct 2018 10:23 |
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