Results 21 to 30 of about 70 (63)

Arab gloss annotation system for Arabic Sign Language

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), 2015
Sign Language (SL) is a native language for deaf person which are about 70 million around the world. 17 million of this community are only in Arabic world. Despite the very important number of deaf people, Arabic Sign Language (ArSL) suffers from the lack of rules and grammatical structure that is required for the construction of an ArSL sentence.
Nadia Aouiti, Mohamed Jemni, Sameer Semreen   +2 more
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Toward the creation of an Arab Gloss for arabic Sign Language annotation

Fourth International Conference on Information and Communication Technology and Accessibility (ICTA), 2013
Arabic sign languages still lack exhaustive scientific studies of their grammatical structure, morpho-syntactic rules, as well as the rules that govern the construction of sentences in these languages. Such studies are necessary for the development and evolution of any language (spoken or sign language).
Mohamed Jemni, Sameer Semreen, Achraf Othman, Zouhour Tmar, Nadia Aouiti   +4 more
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Image based arabic sign language recognition

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2006
In this paper we propose an image based system for Arabic Sign Language recognition. The recognition stage is performed using a Hidden Markov Model. We have used a Gaussian skin color model to detect the signer’s face. The detected face region is then used as a reference to track the hands movement using region growing from the sequence of images ...
Mohamed A. Mohandes, Mohamed A. Deriche
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Classifiers in Arab Gloss Annotation System for Arabic Sign Language

2016
As we know deaf people present about 70 million of the person in the word. 17 million of this community is only in Arabic word. Therefore this community of person require more and more attention from researchers and precisely SLMT (Sign Language Machine Translation) researchers to be able to practice their natural right which is communication with ...
Nadia Aouiti, Mohamed Jemni
openaire   +1 more source

Arabic Sign Language Recognition System on Smartphone

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019
Deaf And other verbally challenged people face challenges most of the time communicating with the society, sign language is what they commonly use between them to represent what they want to say to each other for example numbers, words or phrase.
Abbas Muhammad Zakariya, Rajni Jindal
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ArSLAT: Arabic Sign Language Alphabets Translator

2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM), 2010
This paper presents an automatic translation system of gestures of the manual alphabets in the Arabic sign language. The proposed Arabic Sign Language Alphabets Translator (ArSLAT) system does not rely on using any gloves or visual markings to accomplish the recognition job.
Nashwa El-Bendary, Hossam M. Zawbaa, Mahmoud S. Daoud, Aboul Ella Hassanien, Kazumi Nakamatsu   +4 more
openaire   +1 more source

Gestures Arabic Sign Language Conversion to Arabic Alphabets

2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2018
This Gestures is one of the best ways of communication between dumb and blind people depend on the expression of signs. In this paper we suggest an algorithm to recognizing hand gestures of Arabic letters to communicate between the dumb (through signs) and blind (hear the voice corresponding to sings).
Abdelmoty M. Ahmed, Reda Abo Alez, Gamal Tharwat, Wade Ghribi, Ahmed Said Badawy, Suresh Babu Changalasetty, B. Belgacem, Ahmad M.J. Al Moustafa   +7 more
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Automation of the arabic sign language recognition

Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004., 2004
This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. The direct-device approach uses measurement devices that are in direct contact with the hand such as instrumented gloves, flexion sensors,
Mohandes, M., A-Buraiky, S., Halawani, T., Al-Baiyat, S.   +3 more
openaire   +1 more source

Arabic Sign Language Recognition an Image-Based Approach

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
In this paper we propose an image based system for Arabic sign language recognition. A Gaussian skin color model is used to detect the signer's face. The centroid of the detected face is then used as a reference to track the hands movement using region growing from the sequence of images comprising the signs. A number of features are then selected from
Mohamed A. Mohandes, S. I. Quadri, Mohamed A. Deriche   +2 more
openaire   +1 more source

A survey of image-based Arabic sign language recognition

2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14), 2014
Sign language is the native language of deaf and hearing impaired people which they prefer to use on their daily life. Few interpreters are available to facilitate communication between deaf and vocal people. However, this is neither practical nor possible for all situations. Advances in information technology encouraged the development of systems that
Mohamed A. Mohandes, Junzhao Liu, Mohamed A. Deriche   +2 more
openaire   +1 more source