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Lexical recognition in deaf children learning ASL: activation of semantic and phonological features of signs
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American sign language interpreters in public schools: an illusion of inclusion that perpetuates language deprivation
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An Examination of the Writing Strategies Used by Deaf and Hearing Adults: Similarities and Differences in Cognitive, Linguistic and Conventional Components
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Factors Influencing Language and Reading Development in Young Children with Hearing Loss who use Listening and Spoken Language
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Addressing Communication Barriers Among Deaf Populations Who Use American Sign Language in Hearing-Centric Social Work Settings
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Charles V. Williams interview, 08 February 2020
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In: All interviews (2020)
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An Event-Related Potential Investigation of Orthographic Precision
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Prostate-Specimen Antigen (PSA) Screening and Shared Decision Making Among Deaf and Hearing Male Patients.
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In: Journal of cancer education : the official journal of the American Association for Cancer Education, vol 35, iss 1 (2020)
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Understanding E-Cigarette Knowledge and Use Among d/Deaf and Hard of Hearing Students and the Need for Tailored Prevention Programming: A Qualitative Study
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In: AMERICAN ANNALS OF THE DEAF, vol 165, iss 3 (2020)
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The issue of 'impairment' ... : An analysis of diverging discourses used to represent d/Deaf people in the United States of America ...
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Negotiating privileged networks and exclusive mobilities: the case for a Deaf festival in Scotland’s festival city
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Forced Transitions: Learning ASL In A Virtual Environment
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In: Northwest Journal of Teacher Education (2020)
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Making Sense of Mattering ... : A Phenomenological Study of Black Deaf College Students and Academic Success ...
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Real Time Identification of American Sign Language for Deaf and Dumb Community ...
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Addressing Communication Barriers Among Deaf Populations Who Use American Sign Language in Hearing-Centric Social Work Settings ...
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Discerning Consistent Evidence-Based Communication Strategies for Supporting Deaf Writers in the First Year Composition Classroom: A Study ...
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Real Time Identification of American Sign Language for Deaf and Dumb Community ...
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Abstract:
The only way for deaf and dumb for communication is based on sign language which involves hand gestures. In this system, we are working on the American Sign Language (ASL) dataset (A-Z), (0-9) and word alphabet identification escort by our word identification dataset of Indian Sign Language (ISL). Sign data samples to be making our system more faultless, error free, and unambiguous with help of Convolutional Neural Network (CNN). Today, much research has been going on the field of sign language recognition but existing study failed to develop trust full communication interpreter. The motivation of this system is to serve a real-time two-way communication translator based on Indian Sign Language (ISL) with higher precision, efficiency, and accuracy. Indian Sign Language (ISL) used by Deaf-mute people’s community in India, does have adequate, delightful, acceptable, meaningful essential and structural properties. ... : {"references": ["Sharmila Konwar, Sagarika Borah and Dr. T. Tuithung, \"An American sign language detection system using HSV color model and edge detection\", International Conference on Communication and Signal Processing, IEEE, April 3-5, 2014, India", "Yo-Jen Tu, Chung-Chieh Kao, Huei- Yung Lin, \"Human Computer Interaction Using Face and Gesture Recognition\", Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific, IEEE, Kaohsiung.", "Angur M. Jarman, Samiul Arshad, Nashid Alam and Mohammed J.Islam, \"An automated Bengali sign language recognition based on fingertip finder Algorithm\", International journal of Electronics & Informatics, 2015.", "Javeria Farooq and Muhaddisa Barat Ali, \"Real time hand gesture recognition for computer interaction\", International Conference on Robotics and Emerging Allied Technologies in Engineering (ICREATE), 22-24 April, 2014.", "Guillaume Plouffe and Ana-Maria Cretu, \"Static and dynamic hand gesture recognition ...
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Keyword:
Artificial Neural Network, Indian Sign Language, Hand Gesture Recognition, Deaf community.; http//hbrppublication.com/journals.html
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URL: https://dx.doi.org/10.5281/zenodo.3600014 https://zenodo.org/record/3600014
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Tradução vídeo de língua gestual portuguesa: reconhecimento dinâmico de configurações de mão
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Conhecimento metalinguístico e compreensão da leitura em alunos surdos do 2º e 3º ciclos
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