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.
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Title
A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1 : Indexing and modelling
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
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