American Sign Language Words Recognition of Skeletal Videos Using Processed Video Driven Multi-Stacked Deep LSTM. [PDF]
Sensors (Basel), 2022 Complex hand gesture interactions among dynamic sign words may lead to misclassification, which affects the recognition accuracy of the ubiquitous sign language recognition system.
Abdullahi SB, Chamnongthai K.
europepmc +2 more sources
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
Parent American Sign Language skills correlate with child-but not toddler-ASL vocabulary size. [PDF]
Lang Acquis, 2023 Most deaf children have hearing parents who do not know a sign language at birth and are at risk of limited language input during early childhood. Studying these children as they learn a sign language has revealed that timing of first-language exposure ...
Berger L +3 more
europepmc +2 more sources
The ASL-LEX 2.0 Project: A Database of Lexical and Phonological Properties for 2,723 Signs in American Sign Language. [PDF]
J Deaf Stud Deaf Educ, 2021 ASL-LEX is a publicly available, large-scale lexical database for American Sign Language (ASL). We report on the expanded database (ASL-LEX 2.0) that contains 2,723 ASL signs.
Sehyr ZS +3 more
europepmc +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
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language [PDF]
Computer Vision and Pattern Recognition, 2020 One of the factors that have hindered progress in the areas of sign language recognition, translation, and production is the absence of large annotated datasets. Towards this end, we introduce How2Sign, a multimodal and multiview continuous American Sign
A. Duarte +6 more
semanticscholar +1 more source
Second language learning of depiction in a different modality: The case of sign language acquisition
Frontiers in Communication, 2023 This study investigated the acquisition of depicting signs (DS) among students learning a signed language as their second-modality and second-language (M2L2) language. Depicting signs, broadly described, illustrate actions and states.
Kim B. Kurz +2 more
doaj +1 more source
Inclusion and Deaf and Hard of Hearing Students: Finding Asylum in the LRE
Education Sciences, 2022 The movement towards inclusive public education for deaf and hard of hearing children (DHH) has steadily gathered momentum during the last fifty years.
Julia A. Silvestri, Maria C. Hartman
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
IEEE Access, 2022 Most of the available American Sign Language (ASL) words share similar characteristics. These characteristics are usually during sign trajectory which yields similarity issues and hinders ubiquitous application.
S. B. Abdullahi, K. Chamnongthai
semanticscholar +1 more source