Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction.

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Bibliographic Details
Title:	Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction.
Authors:	Burger, Thomas¹, Caplier, Alice², Perret, Pascal¹
Source:	EURASIP Journal on Image & Video Processing. 2007 Special Issue 3, Vol. 2007, p1-19. 19p. 9 Color Photographs, 1 Illustration, 6 Diagrams, 2 Charts, 7 Graphs.
Subjects:	Cued speech, Means of communication for deaf people, Sign language, Hard of hearing people, People with disabilities, Hearing disorders
Abstract:	Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence. [ABSTRACT FROM AUTHOR]
ISSN:	16875176
DOI:	10.1155/2007/73703