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.
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
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 38 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 20 Feb 2014, 11:53:16 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.