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Deep Learning Technology to Recognize American Sign Language Alphabet [PDF]
Sensors, 2023 Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software ...
Bader Alsharif +4 more
doaj +3 more sources
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
Computer Methods and Programs in Biomedicine Update, 2022 Background: Sign language is an essential means of communication for hearing-impaired individuals. Objective: We aimed to develop an American sign language recognition dataset and use it in the deep learning model which depends on neural networks to ...
Ahmed KASAPBAŞI +3 more
doaj +2 more sources
Two-Stream Mixed Convolutional Neural Network for American Sign Language Recognition. [PDF]
Sensors (Basel), 2022 The Convolutional Neural Network (CNN) has demonstrated excellent performance in image recognition and has brought new opportunities for sign language recognition.
Ma Y, Xu T, Kim K.
europepmc +2 more sources
Medication-Related Experience of Deaf American Sign Language Users [PDF]
Health Literacy Research and Practice, 2023 Background: Previous studies showed that deaf and hard-of-hearing (DHH) individuals have low health literacy related to prescription labels. This study examined the DHH's experience with understanding prescription labels and how technology can impact ...
Mariam Paracha +6 more
doaj +2 more sources
American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation. [PDF]
Sensors (Basel), 2021 Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time.
Shin J +3 more
europepmc +2 more sources
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
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
Syntactic priming in American Sign Language. [PDF]
PLoS ONE, 2015 Psycholinguistic studies of sign language processing provide valuable opportunities to assess whether language phenomena, which are primarily studied in spoken language, are fundamentally shaped by peripheral biology. For example, we know that when given
Matthew L Hall +2 more
doaj +6 more sources
American Sign Language Translator
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Sign language is one of the ancient and most natural form of language for communication. Sign Language is being used by many people in the world, but only a small part of the population knows how to interpret the language. Which makes it tough for the Deaf people to communicate with other people. We used the Tensorflow object detection API in
Mohammed Nihad K
openaire +2 more sources