Design and Implementation of Smart System for Interaction Between Blind, Deaf and Mute People
M. S. Akshaya1, K. Aishwarya2, V. A. Velvizhi3

1M. S. Akshaya, Associate System Engineer, Tata Consultancy Service, Chennai (Tamil Nadu), India.
2K. Aishwarya, Traniee, Aachi Sales Office Corporated Limited, Chennai (Tamil Nadu), India.
3Ms. V. A. Velvizhi, Department of Electronics and Communication Engineering, Sri Sai Ram Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 17 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2914-2918 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13680982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1368.0982S1119
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Abstract: Difficulties faced by the deaf and dumb people and the blind people to communicate among themselves is the major motivation for the proposal of this project. The project aims at bridging this communication gap by means of an cost-effective electronic device. This is done by using a prototype hand worn glove which converts hand gestures and Braille codes into speech and text, thus enabling speech-impaired and visually impaired people to effectively communicate with everyone. MEMS sensors are used to recognize the gesture sign given by the deaf and dumb people. The gesture input is sent as an audio file which is understandable to the people. The input given by the blind people is in Braille language which is converted to text using scale-invariant feature transform (SIFT) algorithm and decoded to text and voice output through Artificial Neural Networks (ANN) by means of Back Propagation using Supervised Learning. So this ensures two way communication between blind, deaf and dumb people.
Keywords: Glove, MEMS, SIFT, ANN, Back Propagation, Supervised Learning.
Scope of the Article: Low-power design