Learning platform for visually impaired children through artificial intelligence and computer vision
Date
2018
Authors
Balasuriya, B.
Lokuhettiarachchi, N.P.
Ranasinghe, A.R.M.D.N.
Shiwantha, K.D.C.
Jayawardena, C.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, 2018, vol.2017-December, iss.8294106, pp.1-7
Statement of Responsibility
Conference Name
11th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2017 (6 Dec 2018 - 8 Dec 2018 : Malabe)
Abstract
The topic Visual Disabilities and Computer Vision are the most researched topics of recent years. Researchers have been trying to combine two topics to create most usable systems to the visually disabled to aid them in their day to day tasks. In this research, we are trying to create an application which is targeting children between the age of 6-14 who suffers from visual disabilities to aid them in their primary learning task of learning to identify objects without a supervision of a third-party. We are trying to achieve this task by combining latest advancements of Computer Vision and Artificial Intelligence technologies by using Deep Region Based Convolutional Networks (R-CNN), Recurrent Neural Networks (RNN) and Speech models to provide an interactive learning experience to such individuals. The paper discusses. © 2017 IEEE.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2018 IEEE