Towards sign language recognition system in Human-Computer interactions

This paper presents a modeling approach for Sign language recognition which is introduced through a dialogue between deaf people and signing avatar. By this modeling approach, the system can be configurable as the scenario and the vocabulary can be modified or changed. Tow important elements are inc...

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Bibliographic Details
Published in:Fourth International Conference on Information and Communication Technology and Accessibility (ICTA) pp. 1 - 3
Main Authors: Jebali, Maher, Dalle, Patrice, Jemni, Mohamed
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2013
Subjects:
Artificial Intelligence
Assistive technology
avatar
Avatars
Computational modeling
Computer Science
Computer Vision and Pattern Recognition
Context
French sign language recognition
Gesture recognition
Graphics
HCI
Hidden Markov models
Human computer interaction
Image Processing
Signal and Image Processing
French sign language recognition
Avatar
HCI
ISBN:1479927252, 9781479927258
ISSN:2379-4399
Online Access:Get full text
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Summary:This paper presents a modeling approach for Sign language recognition which is introduced through a dialogue between deaf people and signing avatar. By this modeling approach, the system can be configurable as the scenario and the vocabulary can be modified or changed. Tow important elements are included to these modeling: the context and the prediction. The objective is to improve the reliability of sign language recognition system compared to the classic systems which generally do not use semantic concept.
ISBN:1479927252
9781479927258
ISSN:2379-4399
DOI:10.1109/ICTA.2013.6815318