Extracting Human Gait Signatures by Body Segment Properties
Yoo, Jang-Hee, Nixon, Mark S. and Harris, Chris J. (2002) Extracting Human Gait Signatures by Body Segment Properties. At Proc. IEEE Southwest Symposium on Image Analysis and Interpretation IEEE Computer Society, 35-39.
Download
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_postscript.png) |
Postscript
Download (671Kb) |
Description/Abstract
We describe a new method for extracting human gait signatures by topological analysis, using properties of body segments. The gait signature is extracted in three stages: extraction of the body contour by a thresholding and morphological filter; extraction of the leg angles based on regression analysis of contour data; and finding the body points guided by known anatomical knowledge. A 2D stick figure is used to represent the human body model, and trajectory-based kinematic features are extracted from the image sequences for describing and analyzing the gait motion. Also, the inherent periodicity in gait motion is analyzed by delay coordinates and a phase-space portrait. The utility of the proposed method is demonstrated in experiments, with comparison to medical data.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Organisation: IEEE |
| ISBNs: | 0769515371 |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 256500 |
| Date Deposited: | 20 Nov 2003 |
| Last Modified: | 26 Apr 2013 02:41 |
| Contributors: | Yoo, Jang-Hee (Author) Nixon, Mark S. (Author) Harris, Chris J. (Author) |
| Date: | April 2002 |
| Additional Information: | Organisation: IEEE |
| Status: | Published |
| Publisher: | IEEE Computer Society |
| Further Information: | Google Scholar |
| ISI Citation Count: | 6 |
| URI: | http://eprints.soton.ac.uk/id/eprint/256500 |
Actions (login required)
 |
View Item |
