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dc.contributor.advisorArvind, D K
dc.contributor.authorYoung, Alexander D.
dc.date.accessioned2011-01-18T14:33:25Z
dc.date.available2011-01-18T14:33:25Z
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/1842/4637
dc.description.abstractA realtime wireless motion tracking system is developed. The system is capable of tracking the orientations of multiple wireless sensors, using a semi-distributed implementation to reduce network bandwidth and latency, to produce real-time animation of rigid body models, such as the human skeleton. The system has been demonstrated to be capable of full-body posture tracking of a human subject using fifteen devices communicating with a basestation over a single, low bandwidth, radio channel. The thesis covers the theory, design, and implementation of the tracking platform, the evaluation of the platform’s performance, and presents a summary of possible future applications.en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionA. D. Young, Martin Ling, and D. K. Arvind. Orient-2: A realtime wireless posture tracking system using local orientation estimation. In Embedded networked sensors, Proceedings of the 4th workshop on, pages 53–57, New York, NY, USA, 2007. ACM. ISBN 978-1-59593-694-3.en
dc.relation.hasversionA.D. Young. Comparison of orientation filter algorithms for realtime wireless inertial posture tracking. Wearable and Implantable Body Sensor Networks, International Workshop on, 0:59–64, 2009.en
dc.relation.hasversionA. D. Young and M.J. Ling. Minimising loss-induced errors in real time wireless sensing by avoiding data dependency. Wearable and Implantable Body Sensor Networks, International Workshop on, 0:327–332, 2009.en
dc.relation.hasversionA. D. Young, M. J. Ling, and D. K. Arvind. Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture. In Information Processing in Sensor Networks, Proceedings of the 9th The International Conference on, pages 256-267, 2010.en
dc.relation.hasversionA. D. Young. Use of body model constraints to improve accuracy of inertial motion capture. In Wearable and Implantable Body Sensor Networks, Proceedings of the 1st International Conference on, 2010.en
dc.subjectrealtime wireless motion tracking systemen
dc.subjectwireless sensorsen
dc.subjectreal-time animationen
dc.subjecttracking platformen
dc.subjectinertial motion captureen
dc.subjectBody sensor networken
dc.titleWireless realtime motion tracking system using localised orientation estimationen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


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