Results 31 to 40 of about 2,320 (164)
Frontiers in Neuroscience, 2022 A sign language translation system can break the communication barrier between hearing-impaired people and others. In this paper, a novel American sign language (ASL) translation method based on wearable sensors was proposed.
Yutong Gu +3 more
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RMUTL Engineering Journal, 2020 Most image classification is based on applying decision-making algorithms, in conjunction with image preprocessing, in order to extract distinctive features from the images and compute the most appropriate weights used in the decision making.
Chokemongkol Nadee, Krisda Yingkayun
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Frontiers in Language SciencesIntroductionIt is often assumed that sign language may be a more accessible alternative to speech for autistic children who have minimally expressive spoken language.
Aaron Shield
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Children, 2020 Early language acquisition is critical for lifelong success in language, literacy, and academic studies. There is much to explore about the specific techniques used to foster deaf children’s language development.
Leala Holcomb, Kimberly Wolbers
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The Chin as a Domain Widener in American Sign Language (ASL)
Semantics and Linguistic Theory, 2022 In this paper, we investigate a grammaticalized facial expression in American Sign Language (ASL) called flat chin, which we propose functions as a general-purpose domain widener, targeting both quantificational domains as well as the scales used by gradable predicates.
L. R. Nikolai, Ezra Keshet
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Neural stages of spoken, written, and signed word processing in beginning second language learners
Frontiers in Human Neuroscience, 2013 We combined magnetoencephalography (MEG) and magnetic resonance imaging (MRI) to examine how sensory modality, language type, and language proficiency interact during two fundamental stages of word processing: (1) an early word encoding stage, and (2) a ...
Matthew K Leonard +7 more
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Forced Transitions: Learning ASL In A Virtual Environment
Northwest Journal of Teacher Education, 2020 Engagement with native language models is essential for second language acquisition. Social distancing mandates made this interaction nearly impossible for students learning American Sign Language (ASL), at a small rural university in western Oregon ...
Kara Gournaris
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Multi antenna radar system for American sign language (ASL) recognition using deep learning
Big Data IV: Learning, Analytics, and Applications, 2022 arXiv admin note: substantial text overlap with arXiv:2104 ...
MacLaughlin, Gavin +2 more
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American Sign Language (ASL) Detection System using Machine Learning
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 One of the main challenges of communicating with people who have hearing disabilities is to understand their sign language. This paper presents a dedicated research project to investigate the difficulties involved in recognizing characters in American Sign Language (ASL), which is the most widely used sign language in the world.
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Bidirectional Translation of ASL and English Using Machine Vision and CNN and Transformer Networks
ComputersThis study presents a real-time, bidirectional system for translating American Sign Language (ASL) to and from English using computer vision and transformer-based models to enhance accessibility for deaf and hard of hearing users.
Stefanie Amiruzzaman +7 more
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