Title :
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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899439
