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Reseach Article

Sign-Talk: Hand Gesture Recognition System

by Aishwarya Auti, Romalee Amolic, Shubham Bharne, Ankita Raina, D. P. Gaikwad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 9
Year of Publication: 2017
Authors: Aishwarya Auti, Romalee Amolic, Shubham Bharne, Ankita Raina, D. P. Gaikwad
10.5120/ijca2017913090

Aishwarya Auti, Romalee Amolic, Shubham Bharne, Ankita Raina, D. P. Gaikwad . Sign-Talk: Hand Gesture Recognition System. International Journal of Computer Applications. 160, 9 ( Feb 2017), 13-16. DOI=10.5120/ijca2017913090

@article{ 10.5120/ijca2017913090,
author = { Aishwarya Auti, Romalee Amolic, Shubham Bharne, Ankita Raina, D. P. Gaikwad },
title = { Sign-Talk: Hand Gesture Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 9 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number9/27100-2017913090/ },
doi = { 10.5120/ijca2017913090 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:14.527040+05:30
%A Aishwarya Auti
%A Romalee Amolic
%A Shubham Bharne
%A Ankita Raina
%A D. P. Gaikwad
%T Sign-Talk: Hand Gesture Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 9
%P 13-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The speech and hearing impaired face a severe problem of communication with  the normal  people  as  the  sign  language  used  by them,  is  not  understood  by a majority of the people. Today those using sign language require a human sign language interpreter to surpass the communication barriers with non-disabled people. Hence we will develop a system that will advance their social integration as they are enabled to express themselves to non-sign language speakers. Hence, in order to bridge the gap between the speech and hearing impaired and normal people, we are developing a system which will enable them to easily communicate with the non disabled using hand gestures and sign language. The proposal  is  to  design  an  integrated  hardware  and  software  solution  which will consist of leap motion controller and computer based application.  We propose an efficient and real time model which recognizes the hand gestures of the impaired using leap motion controller as the primary input device. The data from the leap motion controller will be processed and transmitted to the computer application for gesture discrimination and speech translation. The input signal will be acquired and examined to see if it is a legal sign language gesture or not.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sign Language Leap Motion Controller Feature Extraction Sign Recognition Text-to-Speech.