Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Sensor less Virtual Talking system for Differently ABLED

Author : Talla Bhuvana Vaibhav Reddy 1 Vijaykumar Gooli 2 Stephen R 3 Yogeeswar Reddy P 4 Shivprakash.C 5

Date of Publication :7th June 2016

Abstract: How would pink color look like? It would look like how we hear Hamsalekha’s music. The word differently abled in the title is to respect the ability of the blind who could imagine that color could be felt from the music. This project is an attempt to a sensor less virtual talking machine for Deaf and Mute people. The image processing technique called skeletonizing is using for converting the sign language in to voice output. This project use camera with the PC with Matlab installed in it. Will these people take this everywhere? No, but they could surely take smart phones. This is a prototype to develop the concept of converting the sign language to speech. The Matlab program which would get the sign’s shown by bare hands from the camera and process to understand the sign with the help of the database that would be collected. The Matlab program after guessing the sign would send the wireless data transfer through the Zigbee transceiver. The ZIgbee transceiver in the receiving end would get instruction as what the Matlab program had understood. The received byte would be serially communicated to the microcontroller and the microcontroller would trigger a particular voice from the prerecorded database on the voice replaying board. This Project also extends itself by adding the nether part by having the speech recognition kit, which would be useful in giving the reply to the conversation. The speech recognition kit would get the input from the counterpart and the Serial communicated to get the sign as a reply.

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