Towards sign language recognition system in Human-Computer interactions
| Autor: | Mohamed Jemni, Patrice Dalle, Maher Jebali |
|---|---|
| Přispěvatelé: | Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Université de Tunis (TUNISIA) |
| Rok vydání: | 2013 |
| Předmět: |
HCI
Vocabulary Computer science Sketch recognition business.industry Reliability (computer networking) media_common.quotation_subject Context (language use) Vision par ordinateur et reconnaissance de formes Intelligence artificielle Sign language Avatar computer.software_genre French sign language recognition Traitement des images Gesture recognition Recognition system Traitement du signal et de l'image Artificial intelligence business Synthèse d'image et réalité virtuelle computer Natural language processing media_common |
| Zdroj: | ICTA |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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