An Accelerometer Based Sensor Platform for Insitu Elite Athlete Performance Analysis

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Title An Accelerometer Based Sensor Platform for Insitu Elite Athlete Performance Analysis
Author James, Daniel Arthur; Davey, Neil; Rice, Tony
Publication Title technical program and Abstracts IEEE sensor conference 2004
Editor H. Troy Nagle
Year Published 2004
Place of publication Piscataway, USA
Publisher IEEE
Abstract A sensor data acquisition platform has been developed for in-situ sporting applications encompassing stand alone high speed sampling and storage of multiple accelerometer data. Ambulatory monitoring of elite athlete in competition or training environments was then undertaken. The platform itself is divided into functional blocks and controlled by a small microcontroller using a custom OS. Hence it is easily customizable for a variety of sporting applications. The platform is packaged so as to be robust, hermetically sealed and biomechanically neutral to the athlete. Results and derivative data from rowing and swimming are presented as sample applications. In swimming applications, stroke characteristics for a variety of training strokes are analyzed and found to be better than hand timed data and comparable with results obtained from technology and labor intensive methods, including video analysis. The rowing application when coupled with other monitoring techniques such as impeller velocity, enables recovery of intra and inter stroke phases as a means to assess performance over the entire course and has been used by competition rowers to improve performance at national and international competitions.
Peer Reviewed No
Published Yes
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Copyright Statement Copyright 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Conference name IEEE sensors
Location Vienna
Date From 2004-10-24
Date To 2004-10-27
Date Accessioned 2005-04-05
Language en_AU
Faculty Faculty of Engineering and Information Technology
Subject Science & Technology
Publication Type Conference Publications (Extract Paper)
Publication Type Code e3

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