Sign Language Translator |
Author(s): |
| Prashant Kannaujia , ABES Engineering College, Ghaziabad, UP (India); Niharika Varshney, ABES Engineering College, Ghaziabad, UP (India); Om Parkash Bhati, ABES Engineering College, Ghaziabad, UP (India); Prakhar Chaurasia, ABES Engineering College, Ghaziabad, UP (India); Gulshan K Dubey, ABES Engineering College, Ghaziabad, UP (India) |
Keywords: |
| CNN (Convolutional Neural Network), FC (Fully Connected), ANN (Artificial Neural Network), GPU (Graphics Processing Unit) |
Abstract |
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The intention behind making that project is to provide an aim and digital autonomous platform to hearing and speech impaired people. Sign Language is a kind of a language which is often used by hearing and speech impaired people to convey their message to normal people. They use simultaneous combination of hand gestures, its orientation, hand shapes etc. That system is capable of recognizing gestural symbols and are often used as a method of communication with hard of hearing individuals. That project proposes a system to help normal individuals to simply communicate with deaf and dumb individuals, instead they tend to use a camera as a tool to implement the sign language system. |
Other Details |
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Paper ID: IJSRDV8I60198 Published in: Volume : 8, Issue : 6 Publication Date: 01/09/2020 Page(s): 292-295 |
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