Results 11 to 20 of about 44,957 (229)
Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking. [PDF]
Sensors (Basel)Communication barriers pose significant challenges for the Deaf and Hard-of-Hearing (DHH) community, limiting their access to essential services, social interactions, and professional opportunities.
Alsharif B +4 more
europepmc +2 more sources
FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Sign language translation has historically been peripheral to mainstream machine translation research. In order to help converge the fields, we introduce FLEURS-ASL, an extension of the multiway parallel benchmarks FLORES (for text) and FLEURS (for ...
Garrett Tanzer
semanticscholar +3 more sources
Research into the information referents of deaf signers [PDF]
Communication & Society (Formerly Comunicación y Sociedad), 2012 The Information society is bringing about an increase in the number of information referents for deaf signers (those who use sign language). With the aim of exploring the ways most commonly used by deaf people to find out about current affairs, this ...
Jordi Serrat +1 more
doaj +2 more sources
A Survey on Sign Language Recognition and Training Module [PDF]
ITM Web of Conferences, 2023 Communication among the deaf and non-verbal communities has long reliedon sign language recognition. From all researchers around from early electric signal-based sign language identification to more recent recognition using machine/deep learning ...
Anjana Devi V. +2 more
doaj +1 more source
Sign Language Recognition: High Performance Deep Learning Approach Applyied To Multiple Sign Languages [PDF]
E3S Web of Conferences, 2022 In this paper we present a high performance Deep Learning architecture based on Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable of recognizing and analyzing with high accuracy different Sign language datasets ...
El Zaar Abdellah +2 more
doaj +1 more source
YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus [PDF]
Neural Information Processing Systems, 2023 Machine learning for sign languages is bottlenecked by data. In this paper, we present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube.
David C. Uthus +2 more
semanticscholar +1 more source
Asl-Skeleton3d and Asl-Phono: Two Novel Datasets For the American Sign Language [PDF]
SSRN Electronic Journal, 2022 Sign language is an essential resource enabling access to communication and proper socioemotional development for individuals suffering from disabling hearing loss. As this population is expected to reach 700 million by 2050, the importance of the language becomes even more essential as it plays a critical role to ensure the inclusion of such ...
de Amorim, Cleison Correia +1 more
openaire +2 more sources
Hand Gesture Recognition of Static Letters American Sign Language (ASL) Using Deep Learning
Engineering and Technology Journal, 2020 An American Sign Language (ASL) is a complex language. It is depending on the special gesture stander of marks. These marks are represented by hands with assistance by facial expression and body posture. ASL is the main communication language of deaf and
Abdulwahab A. Abdulhussein, F. A. Raheem
semanticscholar +1 more source
Vision-Based American Sign Language Classification Approach via Deep Learning
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Hearing-impaired is the disability of partial or total hearing loss that causes a significant problem for communication with other people in society.
Nelly Elsayed
doaj +1 more source
Scientific African, 2023 Deaf and hard of hearing (DHH) is a communication impairment that affects millions of people worldwide, hindering communication through the vocal cavity and requiring the use of sign language.
Mustapha Deji Dere +3 more
doaj +1 more source