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.
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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)|
|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:||18 Apr 2017 19:48|