Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2982
Title: EasyChat: A Chat Application for Deaf/Dumb People to Communicate with the General Community
Authors: Sriyaratna, D
Samararathne, W. A. H. K.
Gurusinghe, P. M.
Gunathilake, M. D. S. S.
Wijenayake, W. W. G. P. A.
Keywords: Machine learning
Image processing
Low-resolution image recognition
Convolutional neural networks
Natural language processing
Real-time translation
Sign to text conversion
Chat application
Issue Date: 7-Jul-2022
Publisher: Springer, Cham
Citation: Wijenayake, W.W.G.P.A., Gunathilake, M.D.S.S., Gurusinghe, P.M., Samararathne, W.A.H.K., Sriyaratna, D. (2022). EasyChat: A Chat Application for Deaf/Dumb People to Communicate with the General Community. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-031-10461-9_23
Series/Report no.: Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems,;vol 506, 345-357P.
Abstract: Sign Language is closely associated with the deaf and dumb community to communicate with each other. However, not everyone understands sign language or verbal languages, so these communities need proper ways to communicate online. Therefore, this paper presents EasyChat, a sign language chat application that can translate three main sign languages into Simple English text as well as Simple English text into sign language, which would benefit for deaf/dumb community to express their ideas with the general community by simply capturing their British Sign Language (BSL) or Makaton gestures/symbols or lip movements. These steps are handled by four components. The first component, Convert BSL into Simple English, and the second component, handles Lip Reading conversion. The Makaton gesture and symbol conversion component produces a simple English text-formatted output for identified Makaton hand signs. Finally, the Text/voice to Sign Converter works on converting entered English text back into the sign language-based images. By using these components, EasyChat can detect relevant gestures and lip movement inputs with superior accuracy and translate. This can lead to more effective and efficient online communication between the community of deaf/dumb individuals and the general public.
URI: http://rda.sliit.lk/handle/123456789/2982
ISSN: 978-3-031-10460-2
Appears in Collections:Department of Information Technology
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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