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dc.contributor.authorChannells, Justinen_US
dc.contributor.authorPurcell, Brendanen_US
dc.contributor.authorBarrett, Roden_US
dc.contributor.authorJames, Danielen_US
dc.contributor.editorAlex J. Harizen_US
dc.date.accessioned2017-04-24T11:19:23Z
dc.date.available2017-04-24T11:19:23Z
dc.date.issued2006en_US
dc.date.modified2007-08-07T02:15:34Z
dc.identifier.urihttp://hdl.handle.net/10072/13410
dc.description.abstractMotion analysis systems measure and calculate the position of markers fixed to the body but generally restrict measurement to the laboratory environment. In contrast, inertial measurement devices are small, lightweight and selfcontained and data collection is not restricted to a laboratory. Most research using inertial measurement in human locomotion studies has focused on walking. This paper describes a wireless accelerometer-based method for measuringshank angular velocity during sprint running. The system consists of body-mounted electronics with a wireless connection to a PC programmed with the necessary equations to interpret the acceleration data. The hardware incorporates two sets of accelerometers measuring acceleration in each of the three axes. The two 3D accelerometers are fixed to a frame so that their axes are aligned and they are separated by a prescribed distance. By calculating the difference in acceleration between the two 3D sensors, the gravitational component and linear acceleration components are cancelled leaving the rotational acceleration components. An onboard microcontroller digitises the accelerometer signals and the data is transmitted wirelessly to a PC to calculate the angular velocity with minimal latency. Tests were conducted on several subjects running at a constant velocity for several different speeds. The angular rate output from the accelerometer-based system was compared to data obtained from an optical motion analysis system. Validation test results indicate an accurate result was obtained. The design's suitability for acquiring data during elite athlete sprint training is examined and other applications considered. Error reduction strategies will also be discussed.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInternational Society for Optical Engineering (SPIE)en_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameSPIE Symposium on Microelectronics, MEMS, and Nanotechnologyen_US
dc.relation.ispartofconferencetitleProceedings of SPIE on CD-ROM: Microelectronics, MEMS, and Nanotechnologyen_US
dc.relation.ispartofdatefrom2005-12-12en_US
dc.relation.ispartofdateto2005-12-14en_US
dc.relation.ispartoflocationBrisbane, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode291599en_US
dc.titleDetermination of rotational kinematics of the lower leg during sprint running using accelerometersen_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.date.issued2006
gro.hasfulltextNo Full Text


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

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