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Hand Gestures for Hearing Impaired and Inarticulate People using CNN
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 13 |
| Year of Publication: 2020 |
| Authors: T. R. Shinde, Shyam Gupta |
10.5120/ijca2020920624
|
T. R. Shinde, Shyam Gupta . Hand Gestures for Hearing Impaired and Inarticulate People using CNN. International Journal of Computer Applications. 175, 13 ( Aug 2020), 38-41. DOI=10.5120/ijca2020920624
Abstract
Gesture languages are an extremely important communication tool for many dumb and hard-of-hearing people. Sign languages are the native languages of the Deaf and Dumb community and provide full access to communication. Thanks to hearing ability we are able to perceive thoughts of every different. However, what if one fully cannot hear something and eventually cannot speak. So, the Gesture Language is that the main human action tool for hearing impaired and mute folks, associate degreed additionally to make sure a freelance life for them, the automated interpretation of linguistic communication is an in-depth analysis space. With the utilization of image process and artificial intelligence, several techniques and algorithms have been developed during this space. Each linguistic communication recognition system is trained for recognizing the gestures/signs and changing them into needed pattern. The projected system aims to produce speech to unarticulated, during this paper the double two-handed Indian linguistic communication is captured as a series of pictures and it's processed with the assistance of Python so it can produce speech and text as output.
References
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