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Automatic facial analysis for objective assessment of facial paralysis

Soraghan, J.J. and O'Reilly, Brian and He, Shu and McGrenary, Stewart (2009) Automatic facial analysis for objective assessment of facial paralysis. In: 1st International Conferfence on Computer Science from Algorithms to Applications (CSAA-2009), 2009-01-08 - 2009-01-10, Cairo, Egypt.

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Abstract

Facial Paralysis is a condition causing decreased movement on one side of the face. A quantitative, objective and reliable assessment system would be an invaluable tool for clinicians treating patients with this condition. This paper presents an approach based on the automatic analysis of patient video data. Facial feature localization and facial movement detection methods are discussed. An algorithm is presented to process the optical flow data to obtain the motion features in the relevant facial regions. Three classification methods are applied to provide quantitative evaluations of regional facial nerve function and the overall facial nerve function based on the House-Brackmann Scale. Experiments show the Radial Basis Function (RBF) Neural Network to have superior performance.

Item type: Conference or Workshop Item (Keynote)
ID code: 26291
Keywords: facial paralysis measurement, house-brackmann scale, optical flow, rbf neural network, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Prof John Soraghan
Date Deposited: 21 Jul 2010 12:49
Last modified: 21 Jul 2015 13:13
Related URLs:
URI: http://strathprints.strath.ac.uk/id/eprint/26291

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