Hand Gesticulation Recognition Based Speech Renovation

  • AKANKSHA SANJAY LIMBKAR Electronics & Telecommunication NDMVPS’S KBTCOE NASHIK

Abstract

In our country around 2.78 percent of peoples are not able to speak (dumb). Mostly deaf-dumb people use sign language for communication, but they find difficulty in communicating with others who don’t understand sign language. Due to which communication between deaf-mute and a normal person have always been a challenging task. We suggest to advance a device which can convert the hand gestures of a deaf-mute person into speech. This new technique called artificial speaking mouth for dumb people. It will be very help-full to them for conveying their thoughts to others. This methodology affords a map for emerging a Digital wireless glove which is formfitting with Flex sensors. These sensors sense the gestures of a person in the form of bend of fingers and tilt of the hand fist. This system includes a voice playback IC to give the real time speech output in regional language as well as an LCD module to display the text. The text display being in English, the voice output of this device will be in regional language (if necessary, or else English). So, this device acts as a communicator as well as a translator providing more flexibility in communication.


 

Published
2021-10-01
How to Cite
LIMBKAR, AKANKSHA SANJAY. Hand Gesticulation Recognition Based Speech Renovation. Journal of Advanced Research in Microelectronics and VLSI, [S.l.], v. 1, n. 2, p. 4-6, oct. 2021. Available at: <http://thejournalshouse.com/index.php/ADR-Microelectronics-VLSI/article/view/400>. Date accessed: 20 may 2024.