Smart Glove for Hearing-Impaired
Abhilasha C Chougule1, Sanjeev S Sannakki2, Vijay S Rajpurohit3
1Abhilasha C Chougule, Department of Computer Science and Engieering, KLS’S Gogte Institute of Technology, Belgaum, India.
2Sanjeev S Sannakki, Department of Computer Science and Engieering, KLS’S Gogte Institute of Technology, Belgaum, India.
3Vijay S Rajpurohit, Department of Computer Science and Engieering, KLS’S Gogte Institute of Technology, Belgaum, India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript Published on 26 July 2019 | PP: 1188-1192 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F12450486S419/19©BEIESP | DOI: 10.35940/ijitee.F1245.0486S419
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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: Individuals communicate with one another to pass on their thoughts to the general population around them. There are 2.78% of the total populations of India who can’t speak. Gesture based communication is really a mode of correspondence for the general population who are either deaf or deaf-mute. Ordinary individuals don’t become familiar with the gesture based communication. It causes conveyance gap between deaf dumb and normal people. The past system of this project involved using image processing concept. But the downside of these past frameworks are projects were non portable and excessively costly. The aim behind this work is to build up a framework for perceiving the gesture based communication, which provides interaction between people who are deaf-dumb and normal people, thereby diminishing the interaction gap between them. Generally hearing-impaired people use linguistic communication based on hand gestures with specific movements to represent the ideas to others. The proposed glove is an robotic gadget that interprets American Sign Language Standard into text or speech in order to evacuate the information transmission gap between the mute and the ordinary public. This glove has been actualized with the assistance of flex sensors, accelerometer, microcontroller (Arduino Nano) and the Bluetooth chip.
Keywords: Flex Sensor, Arduino Nano, MIT App Inventor, Bluetooth Chip, American Sign Language.
Scope of the Article: Computer Science and Its Applications