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American Sign Language video anonymization to support online participation of Deaf and Hard of Hearing users
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Analyzing Deaf and Hard-of-Hearing Users’ Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input ...
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An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers ...
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Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos ...
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Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
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In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02394580 ; The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2019, Pittsburgh, United States (2019)
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Recognizing American Sign Language Manual Signs from RGB-D Videos ...
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Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective ...
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Bragg, Danielle; Koller, Oscar; Bellard, Mary; Berke, Larwan; Boudrealt, Patrick; Braffort, Annelies; Caselli, Naomi; Huenerfauth, Matt; Kacorri, Hernisa; Verhoef, Tessa; Vogler, Christian; Morris, Meredith Ringel. - : arXiv, 2019
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Abstract:
Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture. Despite the need for deep interdisciplinary knowledge, existing research occurs in separate disciplinary silos, and tackles separate portions of the sign language processing pipeline. This leads to three key questions: 1) What does an interdisciplinary view of the current landscape reveal? 2) What are the biggest challenges facing the field? and 3) What are the calls to action for people working in the field? To help answer these questions, we brought together a diverse group of experts for a two-day workshop. This paper presents the results of that interdisciplinary workshop, providing key background that is often overlooked by computer scientists, a review of the state-of-the-art, a set of pressing challenges, and a call to action for the ...
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Keyword:
Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; Computers and Society cs.CY; FOS Computer and information sciences; Graphics cs.GR; Human-Computer Interaction cs.HC
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URL: https://arxiv.org/abs/1908.08597 https://dx.doi.org/10.48550/arxiv.1908.08597
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Regression Analysis of Demographic and Technology-Experience Factors Influencing Acceptance of Sign Language Animation ...
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Centroid-based exemplar selection of ASL non-manual expressions using multidimensional dynamic time warping and MPEG4 features
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The importance of 3D motion trajectories for computer-based sign recognition
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Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users ...
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Bridging the gap between sign language machine translation and sign language animation using sequence classification ...
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Evaluating American Sign Language Generation Through the Participation of Native ASL Signers
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In: Center for Human Modeling and Simulation (2008)
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Generating American Sign Language classifier predicates for English-to-ASL machine translation
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In: Dissertations available from ProQuest (2006)
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