Emerging work on Smart Speaking System for Dumb People using BCI
G. Aarthi1, D. Ammu priya2, R. Dhanalakshmi3, A. R. Miradevi4, B. Shunmugapriya5
1G. Aarthi, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.
2D. Ammu Priya, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.
3R. Dhanalakshmi, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.
4A. R. Miradevi, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.
5B.Shunmugapriya*, Assistant Professor, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamilnadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1688-1691 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7492038620/2020©BEIESP | DOI: 10.35940/ijrte.F7492.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Persons be acquainted with each other by assigning their ideas, opinion, and experiences to the community around them. There are abundant ways to attain this, and the best one among all is the gift of speech or verbal communication. Through address, everyone can very persuasively transfer their beliefs and appreciate each other. According to the All Indian Deaf and Dumb Society (AIDDS), there is one in every thousand people born dumb. There are many reasons for dumbness. By many years of investigations, a large number of methods and software solved the speech recognition problem, were developed. Still, there is no proper sensor interface available for creating a mobile interface and achieving accurate and safe BCI. Our study is to focus on the problem of dumbness due to paralysis, tongue cancer, Broca’s problem, accident, and many more. This critical problem can be solved by using the Brain-Computer Interface (BCI). This paper aims to capture the signal from our brain using EEG. EEG is a noninvasive method to record the electrical activity of the brain along the scalp. Features are extracted from the pre-processed signals and classify them into their alpha, beta, delta, gamma signals classes. The Wernicke’s area patterns of activity representing what is to be said and then sent through the arcuate fasciculus to Broca’s area, which contains the programs for intricate patterns of muscle movement needed in speech. The vocal area programs are then relayed to the motor cortex controlling the lips, tongue, and vocal cord, which produce the speech sound. If the person has a problem in vocal area, they may not speak out, so we have the plan to get voice from where they are thinking (Wernicke’s area, Broca’s area) using EEG (Electroencephalography) and convert movements or signal into speech and get them into the receiver ie, .smart phones/tab.
Keywords: BCI, Broca’s area, Electroencephalography, Wernicke’s area.
Scope of the Article: Multi-agent systems.