Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1077
Title: E-Learning Platform for Hearing Impaired Students
Authors: Krishnamoorthy, N.
Raveendran, A.
Vadiveswaran, P.
Arulraj, S.R.
Manathunga, K.
Siriwardana, S.
Keywords: Low Light Detection
Low Light Enhancement
Cumulative Histogram
ASL
Speech Recognition
Tokenization
Stemming
RCNN
Issue Date: 9-Dec-2021
Publisher: 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: With the Spread of global pandemic Covid-19, the traditional education was transformed to online from traditional learning drastically. Hence the use of e-Learning platforms was increased. But this idea has issues with certain communities of people around the world. The hearing-impaired people have many issues with eLearning platforms because of their deficiency in hearing sound. Therefore, through this paper authors are introducing a learning platform for hearing impaired communities to aid in learning effectively. The proposed platform uses sign language to facilitate communication among students and tutors while providing sign language learning materials, practicing opportunities and Q&A sessions. The system has a low light enhancement module to enhance the videos uploaded by the tutor, module to convert the uploaded videos to American Sign Language and it also converts the questions asked via sign language to text.
URI: http://rda.sliit.lk/handle/123456789/1077
ISSN: 978-1-6654-0862-2/21
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Science and Software Engineering

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