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• Using Convolutional Neural Networks for Visual Sign Language Recognition: Towards a system that provides instant feedback to learners of sign language

  Rami Aldahir, Ronald R. Grau · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This short paper presents a prototype system that uses computer vision and a convolutional neural network (CNN) to recognize finger-spelled letters in British Sign Language (BSL), providing real-time feedback to learners. The system addresses a gap in sign language instruction:…

  sign language · British Sign Language · computer vision · deep learning · fingerspelling

• Design and Evaluation of Classifier for Identifying Sign Language Videos in Video Sharing Sites

  Caio D.D. Monteiro, Ricardo Gutierrez-Osuna, Frank M. Shipman · 2012 · Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012)

  This paper presents the design and evaluation of a video classifier that automatically distinguishes sign language (SL) videos from non-sign-language videos on video sharing sites like YouTube. Currently, deaf and hard-of-hearing users must rely on tags, titles, or metadata to…

  sign language · deaf community · video classification · computer vision · machine learning

• TESSA, a System to Aid Communication with Deaf People

  Stephen Cox, Michael Lincoln, Judy Tryggvason, Melanie Nakisa, Mark Wells, Marcus Tutt, Sanja Abbott · 2002 · Proceedings of the Fifth International ACM Conference on Assistive Technologies (Assets 02)

  This paper describes TESSA (Text and Sign Support Assistant), an experimental system developed collaboratively by the University of East Anglia, the Royal National Institute for Deaf People, and Televirtual Ltd. to facilitate communication between deaf customers and Post Office…

  deaf accessibility · sign language · British Sign Language · sign language avatar · speech recognition

• The Development of Language Processing Support for the ViSiCAST Project

  R. Elliott, J. R. W. Glauert, J. R. Kennaway, I. Marshall · 2000 · Proceedings of the Fourth International ACM Conference on Assistive Technologies (Assets '00)

  This paper from the University of East Anglia describes early work on the ViSiCAST project (Virtual Signing, Animation, Capture, Storage and Transmission), a 3-year EU-funded initiative to provide improved access to services for Deaf citizens through sign language presented by a…

  sign language · sign language avatar · virtual signing · British Sign Language · machine translation

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