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• Accessible Gaming Through Better Captions: A Study on Captions Preferences and Inclusivity of Deaf and Hard-of-Hearing Players

  Wajdi Aljedaani, Marcelo M. Eler, Lorene E Keeland, Hamed Jalali, Khaled Al-Raddah, Mohamed Wiem Mkaouer · 2024 · Proceedings of the 21st International Web for All Conference (W4A '24)

  This study surveys 73 deaf and hard-of-hearing (d/Deaf) individuals about their preferences for caption design in video games, addressing a significant gap: while captioning standards exist for television and film, there are no universally accepted standards for video game…

  deaf accessibility · captioning · game accessibility · video games · user preferences

• 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

• "Signifier" Video Sharing Platform and Accessible Media Player for Deaf Users

  Paraskevi Panagi, Alexandros Yeratziotis, Thomas Fotiadis, Christos Mettouris, George Angelos Papadopoulos · 2024 · Proceedings of the 2024 International Conference on Information Technology for Social Good (GoodIT)

  This paper from the University of Cyprus and Connect Deaf presents the "Signifier" video sharing platform and its integrated Signifier Accessible Media Player (SiAMP), designed specifically to address the lack of accessible video media for Deaf and Hard-of-Hearing (D & HH)…

  deaf accessibility · sign language · media accessibility · video accessibility · inclusive design

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