Sign-Talk: Hand Gesture Recognition System
|
10.5120/ijca2017913090 |
Aishwarya Auti, Romalee Amolic, Shubham Bharne, Ankita Raina and D P Gaikwad. Sign-Talk: Hand Gesture Recognition System. International Journal of Computer Applications 160(9):13-16, February 2017. BibTeX
@article{10.5120/ijca2017913090,
author = {Aishwarya Auti and Romalee Amolic and Shubham Bharne and Ankita Raina and D. P. Gaikwad},
title = {Sign-Talk: Hand Gesture Recognition System},
journal = {International Journal of Computer Applications},
issue_date = {February 2017},
volume = {160},
number = {9},
month = {Feb},
year = {2017},
issn = {0975-8887},
pages = {13-16},
numpages = {4},
url = {http://www.ijcaonline.org/archives/volume160/number9/27100-2017913090},
doi = {10.5120/ijca2017913090},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, 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
- Chetna Naidu, Archana Ghotkar,” Hand Gesture Recognition Using Leap Motion Controller”,International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064
- Noor Adnan Ibraheem, Rafiqul Zaman Khan, ” Survey on Various Gesture Recognition Technologies and Techniques”,International Journal of Computer Applications (0975 – 8887) Volume 50 – No.7, July 2012
- Bassem Khelil, Hamid Amiri, “Hand Gesture Recognition Using Leap Motion Controller for Recognition of Arabic Sign Language”. 3rd International Conference on Automation, Control, Engineering and computer Science (ACECS’16),
- Makiko Funasaka, Yu Ishikawa, Masami Takata, and Kazuki Joe, “Sign Language Recognition using Leap Motion Controller“.Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'15 |.
- Arti Thorat, Varsha Satpute, Arati Nehe, Tejashri Atre Yogesh R Ngargoje, “Indian Sign Language Recognition System for Deaf People”. International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 3, March 2014
- Viraj Shinde, Tushar Bacchav, Jitendra Pawar, Mangesh Sanap,“Hand Gesture Recognition Using Web Camera”. International Journal of Advanced Engineering & Innovative Technology, Volume 1, Issue 1, April-2014
- Monuri Hemantha, M.V.Srikanth, “Simulation of Real Time Hand Gesture recognition for Physically Impaired”. International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 11, November 2013
Keywords
Sign Language, Leap Motion Controller, Feature Extraction , Sign Recognition, Text-to-Speech.