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18464 Body Area Wireless Sensor Networks for the Analysis of Cycling Performance
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Marin-Perianu, R.S. and Marin-Perianu, M. and Rouffet, D. and Taylor, S. and Havinga, P.J.M. and Begg, R. and Palaniswami, M. (2010) Body Area Wireless Sensor Networks for the Analysis of Cycling Performance. In: 5th International ICST Conference on Body Area Networks (BodyNets 2010), 10-12 Sep 2010, Corfu Island, Greece. 9678. ICST - Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. ISBN 978-963-9995-01-7

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Abstract

In high-performance cycling, there is a need for advanced technological means of assessing the cyclists’ performance during training and competition, and the risk of overuse injuries. Existing techniques rely on off-line, laboratory-based analysis, as well as on outfitting the bike with various sensors and transducers that give an estimate of the performance during training and racing. We propose a radically different approach, with the aim of determining the actual status of the cyclist’s body in real-time and real-life conditions. Our solution is based on body area wireless motion sensor nodes that can collaboratively process the sensory information and give immediate feedback to the cyclists. We study experimentally the accuracy of such a system with respect to the gold standard camera system. The biomechanics measures of interest are the knee and ankle angles of the cyclists, which give an indication of the correctness and efficiency of the cycling technique. The results obtained from a series of experiments with nine subjects show the accuracy of the motion sensor system compared with the reference given by the camera system. Furthermore, we analyse the wireless characteristics of our system, the energy expenditure and possible improvements.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
ID Code:18464
Status:Published
Deposited On:27 September 2010
Refereed:Yes
International:Yes
More Information:statisticsmetis

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