American Sign Language Alphabet Recognition using Deep Learning
, 2019 Tremendous headway has been made in the field of 3D hand pose estimation but the 3D depth cameras are usually inaccessible. We propose a model to recognize American Sign Language alphabet from RGB images.
Bidani, Shiv +3 more
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A novel model for expanding horizons in sign Language recognition
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 +1 more source
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
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Choice of handshape and classifier type in placement verbs in American Sign Language
Open LinguisticsThis study investigates choice of classifier handshape in the placement verbs MOVE and PUT in American Sign Language (ASL), analyzing data from two deaf ASL signers describing placement events elicited via a semi-structured task.
Frederiksen Anne Therese
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Advanced Capsule Networks via Context Awareness
, 2019 Capsule Networks (CN) offer new architectures for Deep Learning (DL) community. Though its effectiveness has been demonstrated in MNIST and smallNORB datasets, the networks still face challenges in other datasets for images with distinct contexts.
Phong, Nguyen Huu, Ribeiro, Bernardete
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Second Language Working Memory Deficits and Plasticity in Hearing Bimodal Learners of Sign Language
Psychology of Language and Communication, 2015 Little is known about the acquisition of another language modality on second language (L2) working memory (WM) capacity. Differential indexing within the WM system based on language modality may explain differences in performance on WM tasks in sign and ...
Williams Joshua +2 more
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Towards a Classification of Weak Hand Holds
Open Linguistics, 2016 The two symmetrical manual articulators (the hands) in signed languages are a striking modalityspecific phonetic property. The weak hand can maintain the end position of an articulation while the other articulator continues to produce additional signs ...
Kimmelman Vadim +2 more
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Deaf and Hearing American Sign Language-English Bilinguals: Typical Bilingual Language Development. [PDF]
J Deaf Stud Deaf Educ, 2023 Goodwin C, Lillo-Martin D.
europepmc +1 more source
Visual recognition of American sign language using hidden Markov models [PDF]
, 1995 Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1995.Includes bibliographical references (leaves 48-52).by Thad Eugene Starner.M ...
Starner, Thad
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Use of Routine Emergency Department Care Practices with Deaf American Sign Language Users. [PDF]
J Emerg Med, 2023 Conner KR +8 more
europepmc +1 more source