dc.contributor.author | Busch, Andrew | |
dc.contributor.author | James, Daniel | |
dc.contributor.editor | In-Sik Shin | |
dc.date.accessioned | 2017-05-16T12:31:54Z | |
dc.date.available | 2017-05-16T12:31:54Z | |
dc.date.issued | 2008 | |
dc.date.modified | 2013-07-05T03:46:32Z | |
dc.identifier.refuri | http://www.isbs2008.org/ | |
dc.identifier.uri | http://hdl.handle.net/10072/25725 | |
dc.description.abstract | Wearable 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.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 320066 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | ISBS | |
dc.publisher.place | Seoul, Korea | |
dc.publisher.uri | http://w4.ub.uni-konstanz.de/cpa/index | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofconferencename | 26th International Conference on Biomechanics in Sport, 2008 | |
dc.relation.ispartofconferencetitle | 26th International Conference on Biomechanics in Sport, 2008 | |
dc.relation.ispartofdatefrom | 2008-07-14 | |
dc.relation.ispartofdateto | 2008-07-18 | |
dc.relation.ispartoflocation | Seoul, Korea | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Sports Medicine | |
dc.subject.fieldofresearch | Electrical and Electronic Engineering not elsewhere classified | |
dc.subject.fieldofresearchcode | 110604 | |
dc.subject.fieldofresearchcode | 090699 | |
dc.title | Extraction of virtual acceleration data from motion capture | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
gro.faculty | Griffith 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.issued | 2008 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | James, Daniel A. | |
gro.griffith.author | Busch, Andrew W. | |