Results 1 to 10 of about 2,320 (164)
Revisiting gradability in American Sign Language (ASL)
Glossa, 2023 This paper addresses gradability in American Sign Language (ASL). The literature has argued that languages may or may not introduce degree variables, i.e., there is cross-linguistic variation as to whether languages should be analyzed as degree- or ...
Christopher Kurz +3 more
doaj +4 more sources
Sexual health behaviors of Deaf American Sign Language (ASL) users. [PDF]
Disabil Health J, 2015 Little is known about the sexual health behaviors of Deaf American Sign Language (ASL) users.We sought to characterize the self-reported sexual behaviors of Deaf individuals.Responses from 282 Deaf participants aged 18-64 from the greater Rochester, NY area who participated in the 2008 Deaf Health were analyzed.
Heiman E, Haynes S, McKee M.
europepmc +4 more sources
A novel model for expanding horizons in sign Language recognition [PDF]
Scientific ReportsThe American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan +3 more
doaj +2 more sources
Language and Cognitive Development in Bimodal Bilingual Deaf Children in Hearing Families: Three Case Studies [PDF]
Behavioral SciencesWe investigated aspects of language and cognitive development in three bimodal bilingual deaf children in hearing families. Some previous research finds cognitive delays for deaf children, which may be due to an early lack of access to language input ...
Diane Lillo-Martin +2 more
doaj +2 more sources
A comprehensive image dataset of American Sign Language hand gesturesMendeley Data [PDF]
Data in BriefWe present ASL-HG, a comprehensive American Sign Language (ASL) image dataset designed to advance gesture recognition and assistive technologies. The collection contains 36,000 static images across 36 classes, covering the full English alphabet (A–Z) and
Md. Famidul Islam Pranto +6 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
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
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