Results 51 to 60 of about 1,428 (141)

Supporting Arabic Sign Language Recognition with Facial Expressions

The 7th International Conference on Information Technology, 2015
this paper presents an automatic translation model forth combination official expressions of user and gestures of manual alphabets in the Arabic sign language. The part of facial expression depends on locations of user's mouth, nose and eyes. The part of gestures of manual alphabets in the Arabic sign language does not rely on using any gloves or ...
Ghada Dahy Fathy, E. Emary, Hesham N. ElMahdy   +2 more
openaire   +1 more source

Arabic Sign language Recognition using Radial Signature and Dynamic Time Warping [PDF]

Journal of the ACS Advances in Computer Science, 2013
Deaf communities face daily troubles communicating with others in society. A link betweenthe communication with sign language and natural language is needed to facilitate the lifeof the deaf community.
doaj   +1 more source

CLIP-ArASL: A Lightweight Multimodal Model for Arabic Sign Language Recognition

Applied Sciences
Arabic sign language (ArASL) is the primary communication medium for Deaf and hard-of-hearing people across Arabic-speaking communities. Most current ArASL recognition systems are based solely on visual features and do not incorporate linguistic or ...
Naif Alasmari
doaj   +1 more source

Atom Search Optimization with Deep Learning Enabled Arabic Sign Language Recognition for Speaking and Hearing Disability Persons. [PDF]

Healthcare (Basel), 2022
Marzouk R, Alrowais F, Al-Wesabi FN, Hilal AM.   +3 more
europepmc   +1 more source

IMPROVING GESTURE RECOGNITION IN THE ARABIC SIGN LANGUAGE USING TEXTURE ANALYSIS

Applied Artificial Intelligence, 2007
Sign language plays a crucial role in communication between people when voices cannot reach them. Deaf people use sign language as their primary method of communication. Hand gestures represent the alphabets of sign languages. For proper inter-communication between hearing and deaf people, a translator becomes of great need.
Omar M. Al-Jarrah, Faruq A. Al-Omari
openaire   +1 more source

Efficient YOLO-Based Deep Learning Model for Arabic Sign Language Recognition

Journal of Disability Research
Verbal communication is the dominant form of self-expression and interpersonal communication. Speech is a considerable obstacle for individuals with disabilities, including those who are deaf, hard of hearing, mute, and nonverbal.
Saad Al Ahmadi, Farah Mohammad, Haya Al Dawsari   +2 more
doaj   +1 more source

Two-hand static and dynamic Arabic sign language recognition using keypoints and shape descriptors with attention-driven feature fusion [PDF]

PeerJ Computer Science
Sign language is a vital communication tool for individuals with hearing and speech impairments, yet Arabic Sign Language (ArSL) recognition remains challenging due to signer variability, occlusions, and limited benchmark datasets.
Zarnab Kausar, Shaheryar Najam, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Ahmad Jalal, Jeongmin Park   +6 more
doaj   +2 more sources

Recognition of gestures in Arabic sign language using neuro-fuzzy systems

Artificial Intelligence, 2001
Hand gestures play an important role in communication between people during their daily lives. But the extensive use of hand gestures as a mean of communication can be found in sign languages. Sign language is the basic communication method between deaf people. A translator is usually needed when an ordinary person wants to communicate with a deaf one.
Omar M. Al-Jarrah, Alaa Halawani
openaire   +1 more source

Survey of Sensor-Based Arabic Sign Language Datasets

Proceedings of the International Conference on Applied Innovations in IT
Sign language is the primary means of communication for the deaf and hard-of-hearing community, representing a linguistic bridge that connects them to society and enables them to express their thoughts and feelings.
Ahmed Saleh, Hardik Joshi
doaj   +1 more source

Arabic Sign Language Recognition and Generating Arabic Speech Using Convolutional Neural Network

Wireless Communications and Mobile Computing, 2020
Sign language encompasses the movement of the arms and hands as a means of communication for people with hearing disabilities. An automated sign recognition system requires two main courses of action: the detection of particular features and the categorization of particular input data.
openaire   +1 more source