A distributed architecture for storing and processing multi channel multi-sensor athlete performance data

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Title A distributed architecture for storing and processing multi channel multi-sensor athlete performance data
Author Ride, Jason Raymond; James, Daniel Arthur; Lee, James Bruce; Rowlands, David Duanne
Journal Name Procedia Engineering
Editor Patrick Drane and James Sherwood
Year Published 2012
Place of publication Netherlands
Publisher Elsevier
Abstract Over the last decade, inertial sensors have become a valuable tool for extracting quantitative data from athletes. Due to their small size, unobtrusive nature and relative affordability, there is considerable interest in using multi-channel multi-sensor configurations to gain further insight into sporting performance parameters. As the amount of raw information that can be recorded in a single training session increases, so too does the complexity of the data mining algorithms required to emphasise, extract and derive its performance metrics. This ...
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.proeng.2012.04.069
Volume 34
Page from 403
Page to 408
ISSN 1877-7058
Date Accessioned 2012-06-17
Date Available 2013-06-03T03:57:24Z
Language en_US
Research Centre Centre for Wireless Monitoring and Applications
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Biomechanical Engineering
URI http://hdl.handle.net/10072/47080
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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