Computer Vision Based Real Time Communication For Deaf People
Abstract & Details
Research Area
Computer Engineering
Keywords
Voice capture
Noise Filter
CNN algorithm
GTTA
Tensor-Flow
Image
Abstract
Sign language is the primary language of the people who are deaf or hard of hearing and also used by them who can hear but cannot physically speak. It is a complex but complete language which involves movement of hands, facial expressions and postures of the body. Sign language is not universal. Every country has its own native sign language. Each sign language has its own rule of grammar, word orders and pronunciation. The problem arises when deaf and dumb people try to communicate using this language with the people who are unaware of this language grammar. So it becomes necessary to develop an automatic and interactive interpreter to understand them. People want something more natural. Another one is based on computer vision based gesture recognition, which involves image processing techniques. Consequently, this category faces more complexity
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dhaware Ashish K. | Jai Hind College of Engineering Kuran,Pune,Maharastra. |
| 2 | Kale Mayur R. | Jai Hind College of Engineering Kuran,Pune,Maharastra |
| 3 | Prof.Said S.K. | Jai Hind College of Engineering Kuran,Pune,Maharastra |
How to Cite
Use the following formats to cite this article in your research.
APA Style
K., Dhaware Ashish, R., Kale Mayur, & S.K., Prof.Said (2019). Computer Vision Based Real Time Communication For Deaf People. International Journal of Advance Research and Innovative Ideas In Education, 5(6), 1486-1488.
MLA Style
K., Dhaware Ashish, et al. "Computer Vision Based Real Time Communication For Deaf People." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, 2019, pp. 1486-1488.
IEEE Style
Dhaware Ashish K., Kale Mayur R., and Prof.Said S.K., "Computer Vision Based Real Time Communication For Deaf People," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, pp. 1486-1488, 2019.
Vancouver Style
K. Dhaware Ashish, R. Kale Mayur, S.K. Prof.Said. Computer Vision Based Real Time Communication For Deaf People. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(6):1486-1488.
Harvard Style
K., Dhaware Ashish, R., Kale Mayur, & S.K., Prof.Said (2019) 'Computer Vision Based Real Time Communication For Deaf People', International Journal of Advance Research and Innovative Ideas In Education, 5(6), pp. 1486-1488.
Chicago Style
K., Dhaware Ashish, Kale Mayur R., and Prof.Said S.K.. "Computer Vision Based Real Time Communication For Deaf People." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 1486-1488.
Turabian Style
K., Dhaware Ashish, Kale Mayur R., and Prof.Said S.K.. "Computer Vision Based Real Time Communication For Deaf People." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 1486-1488.
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