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https://rda.sliit.lk/handle/123456789/487| Title: | Intelligent platform for visually impaired children for learning indoor and outdoor objects |
| Authors: | Jayawardena, C Balasuriya, B. K Lokuhettiarachchi, N. P Ranasinghe, A. R. M. D. N |
| Keywords: | RNN R-CNN Speech Models Computer Vision Artificial Intelligence Object recognition Speech recognition Convolutional neural networks |
| Issue Date: | 17-Oct-2019 |
| Publisher: | IEEE |
| Citation: | Cited by 1 |
| Series/Report no.: | TENCON 2019-2019 IEEE Region 10 Conference (TENCON);Pages 2572-2577 |
| Abstract: | Using Artificial Intelligence and Computer Vision to assist Visually Impaired personal has been a topic discussed in recent years. Many researchers are focusing on combining several technologies to assist said individuals to perform day to day tasks. Although there are already many technologies being used as platforms to help these individuals, focus put on children who are aged in between 6 - 14 years is considerably less. Therefore; in this research we are focusing on how to use latest advancements of Region Based Convolutional Networks (R-CNN), Recurrent Neural Networks (RNN) and Speech models to provide an interactive learning experience to visually impaired children. |
| URI: | http://localhost:80/handle/123456789/487 |
| ISSN: | 2159-3450 |
| Appears in Collections: | Research Papers - IEEE Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Intelligent_Platform_for_Visually_Impaired_Children_for_Learning_Indoor_and_Outdoor_Objects.pdf Until 2050-12-31 | 561.59 kB | Adobe PDF | View/Open Request a copy |
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