Citation

Wan Noorshahida Mohd Isa, (2005) Analysis on spatial and temporal features of gait kinematics. In: Fourth IEEE Workshop on Automatic Identification Advanced Technologies, 2005. IEEE Xplore, pp. 130-133. ISBN 0-7695-2475-3

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Abstract

Gait kinematics features, which concerns its geometry, can be represented using its spatial and temporal characteristics; namely moments of silhouette and angular displacements of limb. Limb angular displacements data are manual labeled hip angle, knee angle, and ankle angle data and silhouette moments data are simple centralized moments of binary image data. This paper presents an analysis on spatial and temporal features of gait kinematics. A standard approach of using PCA (Principal Component Analysis) and CA (Canonical Analysis) algorithms are used for the analysis. To ensure an invariant analysis due to differences in walking speed, a cycle extraction procedure, which consists of interpolation and resampling is performed beforehand. Results from this paper can suggest that angular displacements data can be a better feature representation in comparison to the simple silhouette moments data.

Item Type:	Book Section
Additional Information:	Proceeding AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	24 Aug 2011 01:54
Last Modified:	02 Dec 2013 03:09
URII:	http://shdl.mmu.edu.my/id/eprint/2329

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