DocumentCode :
2876801
Title :
Toward a mobile service for hard of hearing people to make information accessible anywhere
Author :
Boulares, Mehrez ; Jemni, Mohamed
Author_Institution :
Ecole Super. des Sci. et Tech. de Tunis, Res. Lab. of Technol. of Inf. & Commun. & Electr. Ingineering (LaTICE), Tunis, Tunisia
fYear :
2013
fDate :
21-23 March 2013
Firstpage :
1
Lastpage :
5
Abstract :
Deaf and hard of hearing people can find it difficult to follow the rapid pace of our daily life. This problem is due to the lack of services that increase access to information. Regarding hearing impairment there is no specific solutions to make information accessible anywhere. Although this community has very specific needs related to the learning and understanding process of any written language. However, hearing impairment is an invisible disability which is quite frequent: it is estimated that more than 8% of world´s population suffers from hearing loss. According to many studies reading level of hearing impaired students is lower than reading level of hearing students. In fact many deaf people have difficulties with reading and writing; they cannot read and understand all the information found in a newspaper, in vending machine to take a conveyance, in instruction leaflet etc... Mainly all visual textual information are not accessible for this category of people with disabilities. However, a number of obstacles still have to be removed to make the information really accessible for all and this is crucial for their personal development and their successful integration. In this paper we propose a solution to this problem by providing a mobile translation system using the great technological advances in smart phones to improve the information accessibility anywhere. We rely on text image processing, virtual reality 3D modeling and cloud computing to generate a real-time sign language interpretation by using high virtual character quality.
Keywords :
cloud computing; document image processing; handicapped aids; hearing; language translation; mobile computing; sign language recognition; smart phones; text analysis; virtual reality languages; cloud computing; deaf people; hard hearing people; hearing impairment; hearing loss; high-virtual character quality; invisible disability; learning process; mobile service; mobile translation system; real-time sign language interpretation; smart phones; text image processing; understanding process; vending machine; virtual reality 3D modeling; Animation; Assistive technology; Auditory system; Communities; Gesture recognition; Mobile communication; Streaming media; Android; Cloud Computing; Sign Language; Virtual Reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6302-0
Type :
conf
DOI :
10.1109/ICEESA.2013.6578389
Filename :
6578389
Link To Document :
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