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  Hand Gesture Recognition to Speech Conversion in Regional Language  
  Authors : B.D.Jadhav; Nipun Munot; Madhura Hambarde; Jueli Ashtikar
  Cite as:

 

Generally 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 communications between deaf-mute and a normal person have always been a challenging task. We propose to develop a device which can convert the hand gestures of a deaf-mute person into speech. This methodology provides a map for developing a Digital wireless glove which is fitted with Flex sensors and accelerometer. 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 a LCD module to display the text. The text display being in English, the voice output of this device will be in regional language (here Marathi). So this device acts as a communicator as well as a translator providing more flexibility in communication.

 

Published In : IJCSN Journal Volume 4, Issue 1

Date of Publication : February 2015

Pages : 161 - 166

Figures : 09

Tables : 02

Publication Link : Hand Gesture Recognition to Speech Conversion in Regional Language

 

 

 

B.D.Jadhav : Assistant professor, Department of Electronics & Telecommunication, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Nipun Munot : UG Student, Department of Electronics & Telecommunication, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Madhura Hambarde : UG Student, Department of Electronics & Telecommunication, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Jueli Ashtikar : UG Student, Department of Electronics & Telecommunication, JSPM’s Rajarshi Shahu College of Engineering, Pune, India

 

 

 

 

 

 

 

Gesture Recognition

Sign Language

Flex Sensors

Regional Language

Accelerometer

This system aims to lower the communication gap between the deaf or community and the normal world. The project proposes a translational device for deaf-mute people using glove technology. The proposed technique has enabled the placement of five flex sensor and an accelerometer on to a glove to detect the gestures of a person. As this system is having its voice output in regional language, it can be used as a translator to communicate with people of different regions with ease. To expand the systems capability, two or more accelerometers can be attached. Camera for facial detection can also be installed for better communication.

 

 

 

 

 

 

 

 

 

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