A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1 : Indexing and modelling Li, Saiyi, Caelli, Terry, Ferraro, Mario and Pathirana, Pububu N. 2013, A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1 : Indexing and modelling, in Proceedings of the 2nd International Conference on Control Automation and Information Sciences; ICCAIS 2013, IAMI, Nha Trang, Vietnam, pp. 24-29. Attached Files Name Description MIMEType Size Downloads Title A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1 : Indexing and modelling Author(s) Li, Saiyi Caelli, Terry Ferraro, Mario Pathirana, Pububu N. orcid.org/0000-0001-8014-7798 Conference name Control Automation and Information Sciences Conference (2nd : 2013 : Nha Trang, Vietnam) Conference location Nha Trang, Vietnam Conference dates 25-28 Nov. 2013 Title of proceedings Proceedings of the 2nd International Conference on Control Automation and Information Sciences; ICCAIS 2013 Editor(s) [Unknown] Publication date 2013 Conference series Control Automation and Information Sciences Conference Start page 24 End page 29 Total pages 6 Publisher IAMI Place of publication Nha Trang, Vietnam Summary Current bio-kinematic encoders use velocity, acceleration and angular information to encode human exercises. However, in exercise physiology there is a need to distinguish between the shape of the trajectory and its execution dynamics. In this paper we propose such a two-component model and explore how best to compute these components of an action. In particular, we show how a new spatial indexing scheme, derived directly from the underlying differential geometry of curves, provides robust estimates of the shape and dynamics compared to standard temporal indexing schemes. ISBN 1467308137 9781467308137 Language eng Field of Research 080109 Pattern Recognition and Data Mining 090609 Signal Processing 110317 Physiotherapy Socio Economic Objective 920403 Disability and Functional Capacity HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30060760 Document type: Conference Paper Collection: School of Engineering   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 20 Feb 2014, 11:53:16 EST Fri, 21 Feb 2014, 07:57:21 EST Mon, 10 Mar 2014, 08:51:32 EST Tue, 11 Mar 2014, 15:55:50 EST Mon, 14 Apr 2014, 15:46:30 EST Tue, 15 Apr 2014, 09:11:24 EST Tue, 15 Apr 2014, 14:57:58 EST Tue, 15 Jul 2014, 12:42:46 EST Wed, 21 Oct 2015, 14:59:21 EST Wed, 21 Oct 2015, 19:02:34 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 261 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Thu, 20 Feb 2014, 11:53:16 EST

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