A novel deep transformer based CvT model for sign language recognition in visual communication. [PDF]
Hao J, Pan H.
europepmc +1 more source
Early Access to Sign Language Boosts the Development of Serial Working Memory in Deaf and Hard-of-Hearing Children. [PDF]
Terhune-Cotter BP, Dye MWG.
europepmc +1 more source
ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education
Saad Hassan +8 more
openaire +1 more source
Decreasing missingness in race and ethnicity data by inclusion of preferred language for mapping to aggregate categories. [PDF]
Grabinski Z +6 more
europepmc +1 more source
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ASL-Pro: American Sign Language Animation with Prosodic Elements
Lecture Notes in Computer Science, 2015Efforts to animate American Sign Language (ASL) are aimed at eliminating barriers preventing ASL-using Deaf children from achieving their full potential. These barriers result from reduced information acces- sibility and affect language, cognitive development, and general education.
Nicoletta Adamo-Villani +1 more
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Evaluation of American Sign Language Generation by Native ASL Signers
ACM Transactions on Accessible Computing, 2008There are many important factors in the design of evaluation studies for systems that generate animations of American Sign Language (ASL) sentences, and techniques for evaluating natural language generation of written texts are not easily adapted to ASL.
Matt Huenerfauth +3 more
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Collecting and evaluating the CUNY ASL corpus for research on American Sign Language animation
Computer Speech & Language, 2014Automated synthesis of American Sign Language (ASL) animations will benefit people who are deaf with low English literacy.Annotated ASL motion-capture corpora enable researchers to produce animations with complex spatial and linguistic phenomena.We built the first large, annotated, motion-capture, unscripted ASL corpus, which enables new animation ...
Pengfei Lu, Matt Huenerfauth
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American sign language (ASL) recognition based on Hough transform and neural networks
Expert Systems with Applications, 2007Abstract The work presented in this paper aims to develop a system for automatic translation of static gestures of alphabets and signs in American sign language. In doing so, we have used Hough transform and neural networks which is trained to recognize signs.
Munib Qutaishat +3 more
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Real-Time American Sign Language (ASL) Interpretation
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), 2023Jocelyn Teh Shuang Ru, Patrick Sebastian
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