On Laboratory Gait Analysis via Computer Vision
Yoo, Jang-Hee and Nixon, Mark S. (2003) On Laboratory Gait Analysis via Computer Vision. At AISB ’03 Symposium on Biologically-Inspired Machine Vision, Theory and Application, University of , Aberystwyth, UK, Wales, 07 - 11 Apr 2003. , 109-113.
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Description/Abstract
We describe a marker-less system for analysing and classifying human gait motion by combining a statistical approach and motion tracking with topological analysis guided by anatomical knowledge. The marker-less gait analysis system consists of three stages: detection and extraction of the moving human body and its contour from image sequences; extraction of human gait motion by the joint angles and body points; and kinematic analysis and feature extraction for classifying the gait pattern. The periodic motion of human gait is described by symmetry, and a 2D stick figure is used to rep-resent the human gait model. The usefulness of proposed method is demonstrated in marker-less gait analysis with comparison to biomechanical data.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: April 7-11, 2003 |
| ISBNs: | 1902956315 |
| Keywords: | Gait Analysis, Biometrics |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 258199 |
| Date Deposited: | 20 Nov 2003 |
| Last Modified: | 01 Mar 2012 10:54 |
| Contributors: | Yoo, Jang-Hee (Author) Nixon, Mark S. (Author) |
| Date: | 2003 |
| Additional Information: | Event Dates: April 7-11, 2003 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/258199 |
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