A hybrid CNN-transformer framework optimized by Grey Wolf Algorithm for accurate sign language recognition. [PDF]
Hashi AO +6 more
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Predictors of health literacy among Deaf American Sign Language users. [PDF]
McKee MM +8 more
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Explainable AI for sign language recognition models: Integrating Grad-Cam LIME and Integrated Gradients. [PDF]
El-Qoraychy FZ +5 more
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Transformer-based word level Bangla sign language recognition using relative quantization encoding. [PDF]
Rubaiyeat HA +3 more
europepmc +1 more source
DESIGNING STRATEGIC AND INTERACTIVE SIGNING INSTRUCTION TO SUPPORT SIGNED LITERACY FOR DEAF LEARNERS. [PDF]
Holcomb L.
europepmc +1 more source
ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education
Saad Hassan +8 more
openaire +2 more sources
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Related searches:
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.
Ronnie Wilbur, Nicoletta Adamo
exaly +3 more sources
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
exaly +3 more sources
Collecting and evaluating the CUNY ASL corpus for research on American Sign Language animation
Computer Speech and 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 ...
Matt Huenerfauth, Pengfei Lu
exaly +2 more sources

