DocumentCode
2100673
Title
Towards sign language recognition system in Human-Computer interactions
Author
Jebali, Maher ; Dalle, Patrice ; Jemni, Mohamed
Author_Institution
Res. Lab. LaTICE, Univ. of Tunis, Tunis, Tunisia
fYear
2013
fDate
24-26 Oct. 2013
Firstpage
1
Lastpage
3
Abstract
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.
Keywords
avatars; human computer interaction; sign language recognition; context element; deaf people; human computer interactions; modeling approach; prediction element; semantic concept; sign language recognition system; signing avatar; Assistive technology; Avatars; Computational modeling; Context; Gesture recognition; Hidden Markov models; Human computer interaction; French sign language recognition; HCI; avatar;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology and Accessibility (ICTA), 2013 Fourth International Conference on
Conference_Location
Hammamet
Type
conf
DOI
10.1109/ICTA.2013.6815318
Filename
6815318
Link To Document