Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2982
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dc.contributor.authorSriyaratna, D-
dc.contributor.authorSamararathne, W. A. H. K.-
dc.contributor.authorGurusinghe, P. M.-
dc.contributor.authorGunathilake, M. D. S. S.-
dc.contributor.authorWijenayake, W. W. G. P. A.-
dc.date.accessioned2022-09-08T08:34:34Z-
dc.date.available2022-09-08T08:34:34Z-
dc.date.issued2022-07-07-
dc.identifier.citationWijenayake, 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_23en_US
dc.identifier.issn978-3-031-10460-2-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2982-
dc.description.abstractSign 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.en_US
dc.language.isoenen_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofseriesIntelligent Computing. SAI 2022. Lecture Notes in Networks and Systems,;vol 506, 345-357P.-
dc.subjectMachine learningen_US
dc.subjectImage processingen_US
dc.subjectLow-resolution image recognitionen_US
dc.subjectConvolutional neural networksen_US
dc.subjectNatural language processingen_US
dc.subjectReal-time translationen_US
dc.subjectSign to text conversionen_US
dc.subjectChat applicationen_US
dc.titleEasyChat: A Chat Application for Deaf/Dumb People to Communicate with the General Communityen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/978-3-031-10461-9_23en_US
Appears in Collections:Department of Information Technology
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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