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dc.contributor.authorBusch, Andrew
dc.contributor.authorJames, Daniel
dc.contributor.editorIn-Sik Shin
dc.date.accessioned2017-05-16T12:31:54Z
dc.date.available2017-05-16T12:31:54Z
dc.date.issued2008
dc.date.modified2013-07-05T03:46:32Z
dc.identifier.refurihttp://www.isbs2008.org/
dc.identifier.urihttp://hdl.handle.net/10072/25725
dc.description.abstractWearable inertial sensors, such as accelerometers, have recently proven to be very effective tools for studying the biomechanical performance of athletes in many sports, as they are lightweight, relatively unobtrusive, and in many cases can be worn outside the laboratory during both training and competitive conditions. In using such devices, it is important that the sensors are placed in the correct position to capture the desired data, and finding this position can involve considerable time and effort. By utilising 3-D imagery, an efficient method for calculating virtual acceleration data for multiple sensor positions is proposed, which will allow researchers to quickly obtain large amounts of data for testing without the need for extensive field trials. Verification undertaken using actual inertial sensors show the accuracy and usefulness of this approach.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent320066 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherISBS
dc.publisher.placeSeoul, Korea
dc.publisher.urihttp://w4.ub.uni-konstanz.de/cpa/index
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename26th International Conference on Biomechanics in Sport, 2008
dc.relation.ispartofconferencetitle26th International Conference on Biomechanics in Sport, 2008
dc.relation.ispartofdatefrom2008-07-14
dc.relation.ispartofdateto2008-07-18
dc.relation.ispartoflocationSeoul, Korea
dc.rights.retentionY
dc.subject.fieldofresearchSports Medicine
dc.subject.fieldofresearchElectrical and Electronic Engineering not elsewhere classified
dc.subject.fieldofresearchcode110604
dc.subject.fieldofresearchcode090699
dc.titleExtraction of virtual acceleration data from motion capture
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© The Author(s) 2008. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorJames, Daniel A.
gro.griffith.authorBusch, Andrew W.


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    Contains papers delivered by Griffith authors at national and international conferences.

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