Results 201 to 210 of about 4,378 (222)
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The Black ASL (American Sign Language) Project
2015Jennifer Bloomquist +6 more
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AMERICAN SIGN LANGUAGE (ASL) RECOGNITION USING OPENCV
International Journal of Engineering Applied Sciences and Technology, 2023One of the biggest challenges for thosewho are deaf or dumb is the lack of access to communication. Here, we'll createa OpenCV based system for converting American sign language to text. Computer vision model for the dumb and deaf are a revolutionary system that has the potential to improve the quality of life for those whoare affected by hearing or ...
Mehtab Ansari, Neetu Raj Bharti
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Visual learning curves for American sign language (ASL) alphabet
International Journal of Industrial Ergonomics, 2021Abstract The study objectives include: 1) to identify the visual key areas and the learning curves when learning the ASL alphabet, 2) to identify the impact of practice on key visual areas, and 3) to identify differences in visual learning curves between signs.
Salvador Rojas-Murillo +5 more
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Family-Centered Practices and American Sign Language (ASL)
Exceptional Children, 2014Families with children who are deaf face many important decisions, especially the mode(s) of communication their children will use. The purpose of this focus group study was to better understand the experiences and recommendations of families who chose American Sign Language (ASL) as their primary mode of communication and to identify strategies that ...
Belinda J. Hardin +4 more
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A novel approach to American Sign Language (ASL) phrase verification using reversed signing
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010We propose a novel approach for American Sign Langauge (ASL) phrase verification that combines confidence measures (CM) obtained from aligning forward sign models (the conventional approach) to the input data with the CM's obtained from aligning reversed sign models to the same input.
Zahoor Zafrulla +3 more
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Purdue RVL-SLLL ASL database for automatic recognition of American Sign Language
Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, 2003This article reports on an extensive database of American Sign Language (ASL) motions, handshapes, words and sentences. Research on automatic recognition of ASL requires a suitable database for the training and the testing of algorithms. The databases that are currently available do not allow, for algorithmic development that requires a step-by-step ...
Aleix M. Martínez +3 more
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Sign Language Studies, 2014
A receptive, multiple-choice test of ASL synonyms was administered to Deaf children in order to determine both their vocabulary development and the metalinguistic skills necessary for them to identify synonyms. A total of 572 Deaf children who were 4;0-18;0 years of age were tested: 449 Deaf children of hearing parents (DCHP) and 123 Deaf children of ...
Rama Novogrodsky +2 more
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A receptive, multiple-choice test of ASL synonyms was administered to Deaf children in order to determine both their vocabulary development and the metalinguistic skills necessary for them to identify synonyms. A total of 572 Deaf children who were 4;0-18;0 years of age were tested: 449 Deaf children of hearing parents (DCHP) and 123 Deaf children of ...
Rama Novogrodsky +2 more
openaire +1 more source
Deafness & Education International, 2020
Few American Sign Language (ASL) assessments are readily available for educators to administer and score to document deaf students’ skill levels and direct ASL instruction.
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Few American Sign Language (ASL) assessments are readily available for educators to administer and score to document deaf students’ skill levels and direct ASL instruction.
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The Morphology of Location in American Sign Language (ASL)
The goal of this dissertation is to provide a rule-governed, linguistic model of location morphology in American Sign Language (ASL). The dissertation is arranged by first establishing the theoretical background (Chapter 1), then the proposed geometry based model of location is explained (Chapters 2-4), and then finally the proposed model is applied inopenaire +1 more source
Development of Interactive ASL (American Sign Language) Learning App
2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 2022Pema Thinley +5 more
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