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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 +5 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 +4 more sources
IEEE AccessThis research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level gestures. The proposed system employs a hybrid deep learning model
Malay Kumar +4 more
doaj +3 more sources
American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sensors, 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj +4 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
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 recognition and training method with recurrent neural network
Expert Systems With Applications, 2021 Though American sign language (ASL) has gained recognition from the American society, few ASL applications have been developed with educational purposes. Those designed with real-time sign recognition systems are also lacking.
Chun-Hsien Chen, H C W Lau, C K M Lee
exaly +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
Fingerspelling Detection in American Sign Language [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Fingerspelling, in which words are signed letter by letter, is an important component of American Sign Language. Most previous work on automatic fingerspelling recognition has assumed that the boundaries of fingerspelling regions in signing videos are ...
Bowen Shi +3 more
semanticscholar +4 more sources