CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Gesture Recognition: A Survey

by Bharti Bansal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 2
Year of Publication: 2016
Authors: Bharti Bansal
10.5120/ijca2016909103

Bharti Bansal . Gesture Recognition: A Survey. International Journal of Computer Applications. 139, 2 ( April 2016), 8-10. DOI=10.5120/ijca2016909103

@article{ 10.5120/ijca2016909103,
author = { Bharti Bansal },
title = { Gesture Recognition: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 2 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 8-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number2/24460-2016909103/ },
doi = { 10.5120/ijca2016909103 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:50.708655+05:30
%A Bharti Bansal
%T Gesture Recognition: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 2
%P 8-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With increasing use of computers in our daily lives, lately there has been a rapid increase in the efforts to develop a better human computer interaction interface. The need of easy to use and advance types of human-computer interaction with natural interfaces is more than ever. In the present framework, the UI (User Interface) of a computer allows user to interact with electronic devices with graphical icons and visual indicators, which is still inconvenient and not suitable for working in virtual environments. An interface which allow user to communicate through gestures is the next step in the direction of advance human computer interface. In the present paper author explore different aspects of gesture recognition techniques.

References
  1. Manuel Caputo, Klaus Denker, Benjamin Dums, and Georg Umlauf. 3d hand gesture recognition based on sensor fusion of commodity hardware. In Harald Reiterer and Oliver Deussen, editors, Mensch Computer, pages 293{302. Oldenbourg Verlag, 2012.
  2. D. Kumarage, S. Fernando, P. Fernando, D. Madushanka, and R. Samarasinghe. Real-time sign language gesture recognition using still-image com- parison amp; motion recognition. In Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on, pages 169{174, Au- gust 2011.
  3. S. Mitra and T. Acharya. Gesture recognition: A survey. Trans. Sys. Man Cyber Part C, 37(3):311{324, May 2007.
  4. G. R. S. Murthy and R. S. Jadon. A review of vision based hand gestures recognition. International Journal Of Information Technology and Knowledge, pages 2-2009.
  5. M. Panwar. Hand gesture recognition based on shape parameters. In Computing, Communication and Applications (ICCCA), 2012 International Conference on, pages 1-6, Feb 2012.
  6. Vladimir I. Pavlovic, Rajeev Sharma, and Thomas S. Huang. Visual interpretation of hand gestures for human-computer interaction: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:677-695, 1997.
  7. L. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, Feb 1989.
  8. S.S. Rautaray and A. Agrawal. Interaction with virtual game through hand gesture recognition. In Multimedia, Signal Processing and communication Technologies (IMPACT), 2011 International Conference on, pages 244-247, Dec 2011.
  9. Ferdinando Samaria and Steve Young. Hmm-based architecture for face identification. Image and vision computing, 12(8):537{543, 1994.
  10. J. Yamato, Jun Ohya, and K. Ishii. Recognizing human action in time-sequential images using hidden markov model. In Computer Vision and Pattern Recognition, 1992. Proceedings CVPR'92, 1992 IEEE Computer Society Conference on, pages 379-385, Jun 1992.
  11. Jie Yang and Yangsheng Xu. Hidden markov model for gesture recognition. Technical Report CMU-RI-TR-94-10, Robotics Institute, Pittsburgh, PA, May 1994.
  12. Thomas G. Zimmerman, Jaron Lanier, Chuck Blanchard, Steve Bryson, and Young Harvill. A hand gesture interface device. SIGCHI Bull., 18(4):189-192, May 1986.
Index Terms

Computer Science
Information Sciences

Keywords

Gesture HMM

Powered by PhDFocusTM