Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Abstract : Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of felds, 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 feld? and 3) What are the calls to action for people working in the feld? 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 research community.
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Contributeur : Bénédicte Daly <>
Soumis le : mercredi 4 décembre 2019 - 18:27:30
Dernière modification le : mercredi 8 janvier 2020 - 01:32:39

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  • HAL Id : hal-02394580, version 1

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Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, et al.. Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2019, Pittsburgh, United States. ⟨hal-02394580⟩

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