Human gait and posture analysis for diagnosing neurological disorders

Author

Lee, H. ; Guan, L. ; Burne, J.A.

Author_Institution

Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

435

Abstract

This paper describes a number of new techniques to enhance the performance of a video analysis system, free from motion markers and complicated setup procedures, for the purpose of quantitatively identifying gait abnormalities in static human posture analysis. Visual features are determined from still frame images out of the entire walking sequence. The features are used as a guide to train a neural network, in an attempt to providing assistance to clinicians in diagnosing patients with neurological disorders.

Keywords

feature extraction; gait analysis; image motion analysis; image recognition; image sequences; medical image processing; neural nets; neurophysiology; video signal processing; Parkinson´s disease; gait abnormalities; human gait; neural network; neurological disorders; patient diagnosis; posture analysis; static human posture analysis; still frame images; video analysis system; visual features; walking sequence; Hardware; Humans; Image color analysis; Image motion analysis; Image processing; Information analysis; Laboratories; Neural networks; Performance analysis; Software performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899439

Filename

899439