A facial feature communications interface for the non-vocal

A viable communications interface for the nonvocal handicapped that is a by-product of recent face recognition research is described. The system uses either the Karhunen-Loeve transform (KLT) or the discrete cosine transform (DCT) to encode video camera images on a subject's face. The encoding...

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Bibliographic Details
Published in:	IEEE engineering in medicine and biology magazine Vol. 12; no. 3; pp. 46 - 48
Main Authors:	Goble, J.R., Suarez, P.F., Rogers, S.K., Ruck, D.W., Arndt, C., Kabrisky, M.
Format:	Journal Article
Language:	English
Published:	IEEE 01-09-1993
Subjects:	Covariance matrix Discrete cosine transforms Face recognition Facial features Karhunen-Loeve transforms Mouth Pixel Rendering (computer graphics) Speech Tongue
Online Access:	Get full text
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Summary:	A viable communications interface for the nonvocal handicapped that is a by-product of recent face recognition research is described. The system uses either the Karhunen-Loeve transform (KLT) or the discrete cosine transform (DCT) to encode video camera images on a subject's face. The encoding differentiates among three expressions: tongue out which is classified as 'yes'; mouth open, which is classified as 'no'; and mouth closed, which is classified as 'null'. A review of the theory of the KLT and DCT is included.< >
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0739-5175
DOI:	10.1109/51.232340