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dc.contributor.authorBusch, Andrewen_US
dc.contributor.authorJames, Danielen_US
dc.contributor.editorIn-Sik Shinen_US
dc.date.accessioned2017-05-16T12:31:54Z
dc.date.available2017-05-16T12:31:54Z
dc.date.issued2008en_US
dc.date.modified2013-07-05T03:46:32Z
dc.identifier.refurihttp://www.isbs2008.org/en_US
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent320066 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherISBSen_US
dc.publisher.placeSeoul, Koreaen_US
dc.publisher.urihttp://w4.ub.uni-konstanz.de/cpa/indexen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencename26th International Conference on Biomechanics in Sport, 2008en_US
dc.relation.ispartofconferencetitle26th International Conference on Biomechanics in Sport, 2008en_US
dc.relation.ispartofdatefrom2008-07-14en_US
dc.relation.ispartofdateto2008-07-18en_US
dc.relation.ispartoflocationSeoul, Koreaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchSports Medicineen_US
dc.subject.fieldofresearchElectrical and Electronic Engineering not elsewhere classifieden_US
dc.subject.fieldofresearchcode110604en_US
dc.subject.fieldofresearchcode090699en_US
dc.titleExtraction of virtual acceleration data from motion captureen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright remains with the authors 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.en_US
gro.date.issued2008
gro.hasfulltextFull Text


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

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