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A Scoping Review of Teaching Practices for Linguistically Diverse Students in Ontario
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USE OF SIGN LANGUAGES BY HEALTHCARE PROFESSIONALS TO HELP DEAF PEOPLE IN HEALTH SERVICES: INTEGRATIVE REVIEW ...
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Diversity of Child and Family Characteristics of Children with Hearing Loss in Family-Centered Early Intervention in The Netherlands
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In: Journal of Clinical Medicine; Volume 11; Issue 8; Pages: 2074 (2022)
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Perceptual Categorization of Hñäñho-Specific Vowel Contrasts by Hñäñho Heritage Speakers in Mexico
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In: Languages; Volume 7; Issue 2; Pages: 73 (2022)
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Antemurale innovationis: Clausal complementation in the Slovene Mura River (Prekmurje) dialect and its Balkan parallels
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Hearing disorders and biotinidase deficiency: an integrative literature review
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In: Revista CEFAC, Vol 24, Iss 1 (2022) (2022)
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The Value and Use of the Telugu Language in Young Adults of Telugu-Speaking Backgrounds in New Zealand
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Have You Heard About Hearing Loss, Hearing Aid Use, And Cognitive Decline? Relationships, Mechanisms, And A Proposed Investigation Using Event-Related Potentials
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The Relationship Between Parent Stress, Facilitative Language Techniques, and Child Language in Deaf and Hard-of-hearing Children
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Data for: Deaf children of hearing parents develop age-level vocabularies if exposed to ASL by six-months ...
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Data for: Deaf children of hearing parents develop age-level vocabularies if exposed to ASL by six-months ...
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PCA AND PROJECTION BASED HAND GESTURE RECOGNITION ...
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Abstract:
Developing hand gesture recognition algorithms, and more generally, pattern recognition algorithms is a very active area of research in computer vision. There are various approaches and techniques to the recognition problem among researchers. In this manuscript, our objective is to develop a novel Principal Component Analysis based hand gesture recognition algorithm, and compare its performance against k-Nearest Neighbor classifier and Sparse Representation based Classifier. The proposed algorithm makes use of linear triplet loss embedding and projections onto subspaces. An open source HandReader dataset consisting of 500 labeled images with 10 signs from American Sign Language is split into a training set with 100 images and a test set with 400 images. The proposed algorithm outperforms with 95% accuracy. This shows that the proposal methodology might be effective in computer vision when there is relatively small amount of data is available. It is expected that approaches similar to the current one will ...
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Keyword:
Computer Vision, Sign Language, Hand Gesture Recognition, Human-Computer Interaction, Triplet Loss, Stochastic Gradient Descent, PCA-TP, SRC, kNN
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URL: https://zenodo.org/record/5353491 https://dx.doi.org/10.5281/zenodo.5353491
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Improving communication outcomes for children with hearing loss in their early years: tracking progress and guiding intervention
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Morpho-Syntactic Deficit in Children with Cochlear Implant: Consequence of Hearing Loss or Concomitant Impairment to the Language System?
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 18 (2021)
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Prosody in Children with Atypical Development
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In: Communication Disorders Faculty Publications (2021)
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Visual Perception in Hearing Sign Language Users
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In: Electronic Thesis and Dissertation Repository (2021)
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Developing a Spoken Language Outcome Monitoring Procedure for Early Hearing Detection and Intervention Programs
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In: Electronic Thesis and Dissertation Repository (2021)
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An investigation into the loss and revitalization of First Nations languages in Manitoba: perspectives of First Nations educators
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Investigating the concept of success in the Bachelor of Education in Indigenous Language Revitalization Program in the W̱SÁNEĆ Community and at the University of Victoria
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