Analysis of equine gait through strain measurement

Author

Calvert, D. ; Bajcar, Ellen ; Stacey, Deborah ; Thomason, J.

Author_Institution

Comput. & Inf. Sci., Guelph Univ., Ont., Canada

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2370

Abstract

This work describes the analysis of equine gait data using Principle Component Analysis, Wavelets, and various Artificial Neural Networks. Strain data is collected from the hoof of the animal and is analyzed in an attempt to identify characteristics of the horse´s gait. These include if the animal is shod, the rate at which it is moving, and if it is not walking with a healthy gait. A comparison is made between the success of different Neural Network architectures and other techniques which are used to classify the data.

Keywords

biocomputing; gait analysis; neural nets; principal component analysis; strain measurement; veterinary medicine; animal hoof; artificial neural networks; equine gait; gait analysis; healthy gait; horse gait; principal component analysis; strain measurement; wavelets; Animals; Artificial neural networks; Capacitive sensors; Data analysis; Force measurement; Horses; Information analysis; Performance analysis; Strain measurement; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280392

Filename

1280392