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Author McGrenary, S. ♦ O'Reilly, B.F. ♦ Soraghan, J.J.
Sponsorship IEEE Comput. Soc. Tech. Comm. on Comput. Medicine (TCCM) ♦ Trinity Coll. Dublin, Dept. of Comput. Sci. ♦ Sci. Found. Ireland
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Artificial intelligence ♦ Data analysis ♦ Face detection ♦ Eyes ♦ Mouth ♦ Skin ♦ Biomedical imaging ♦ Image processing ♦ Head ♦ Regions
Abstract Facial paralysis is a debilitating condition in which sufferers experience unilateral paralysis of the left or right facial nerve. An evidence based assessment of a patient's condition is almost impossible because all current grading scales are subjective. A quantitative, practical, reliable system would be an invaluable tool in this field of neurootology. Demonstrated here is a system which intelligently quantifies the facial damage in 43 testing videos from 14 subjects. Using an artificial neural network the average mean squared error for the system is 1.6%.
Description Author affiliation: Strathclyde Univ., Glasgow, UK (McGrenary, S.)
ISBN 0769523552
ISSN 10637125
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-06-23
Publisher Place Ireland
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 380.92 kB
Page Count 6
Starting Page 587
Ending Page 592


Source: IEEE Xplore Digital Library