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Reseach Article

Efficient Marker based Gesture Recognition Technique

by Pallab Dutta, Aparna B, Sridharan B, Vipin Tyagi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 1
Year of Publication: 2013
Authors: Pallab Dutta, Aparna B, Sridharan B, Vipin Tyagi
10.5120/13974-1960

Pallab Dutta, Aparna B, Sridharan B, Vipin Tyagi . Efficient Marker based Gesture Recognition Technique. International Journal of Computer Applications. 81, 1 ( November 2013), 11-15. DOI=10.5120/13974-1960

@article{ 10.5120/13974-1960,
author = { Pallab Dutta, Aparna B, Sridharan B, Vipin Tyagi },
title = { Efficient Marker based Gesture Recognition Technique },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 1 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number1/13974-1960/ },
doi = { 10.5120/13974-1960 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:55.597505+05:30
%A Pallab Dutta
%A Aparna B
%A Sridharan B
%A Vipin Tyagi
%T Efficient Marker based Gesture Recognition Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 1
%P 11-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gesture recognition techniques are used in order to achieve spontaneous and natural machine interactions. Normal Hand gesture based recognition techniques using single 2D camera have serious issues in terms of correct tracking; also the false recognition occurrences are higher. In this paper, we present an efficient method of implementing gesture recognition using marker. In this approach we use a single marker for gesture recognition by doing mouse emulation. Tracking is accurate and false recognition occurrences are found to be very low in this method. Also this approach is found to be computationally efficient and etter user experience compared to other hand gesture recognition techniques using single 2D camera.

References
  1. Elena, Luis and Mario, "Hand Gesture Recognition for Human-Machine Interaction". Journal of WSCG, Vol. 12, No. 1- 3, ISSN 1213- 6972.
  2. Hoojoon Park, "A Method for Controlling Mouse Movement using a Real-Time Camera".
  3. Ahmed Elgammal,Crystal Muangand DunxuHu," Skin Detection-a Short Tutorial" Encyclopedia of Biometrics by Springer-Verlag Berlin Heidelberg 2009.
  4. Gary R. Bradski," Computer Vision Face Tracking For Use in a Perceptual User Interface", Intel Technology Journal Q2 '98.
  5. Burak Ozer, Tiehan Lu, and Wayne Wolf, "Design of a Real-Time Gesture Recognition System" IEEE Signal Processing Magzine, vol
  6. , May 2005.
  7. Ilan Steinberg, Tomer M. London, Dotan Di Castro, "Hand Gesture Recognition in Images and Video".
  8. Bernard Boulay, Francois Bremond and Monique Thonnat, "Human Posture Recognition in Video Sequence".
  9. Ehsan , Syed , Mirza and Hyunchul ,"New Hand Gesture Recognition Method for Mouse Operations". IEEE Proceedings, 2011.
  10. Nguyen Dang Binh, Enokida Shuichi, Toshiaki Ejima "Real-Time Hand Tracking and Gesture Recognition System" GVIP 05 Conference, 19-21 December 2005, CICC, Cairo, Egypt.
  11. Juan P W, Mathias K, Helman S, Yael E. "Vision-Based and-Gesture Applications". In communications of the ACM, Febraury 2011, Vol. 54.
  12. Mitra, S. , and Acharya, T. "Gesture recognition: A Survey". IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 37, 3 (2007), 311–324.
  13. Chang, L. , Pollard, N. , Mitchell, T. , and Xing, E. "Feature selection for grasp recognition from optical Markers". In Proc. IROS 2007, IEEE (29 2007-Nov. 2 2007), 2944 –2950.
  14. Goh Chong Yang and Chua Hock Chuan : "Marker -Based 3D Gesture Recognition For Interactive Applications". In Proceedings of the URECA@NTU 2009-10.
  15. Kim. D, (2006), "An Intelligent Smart Home Control Using Body Gestures". In the Proceedings of International Conference on Hybrid Information Technology (ICHIT'06), IEEE, Korea.
  16. Nitish R, Unnikrishnan TA : "Modeling of An Intuitive Gesture Recognition System" Special Issue of International Journal of Computer Applications (0975 – 8887) on Advanced Computing and Communication Technologies for HPC Applications -ACCTHPCA, June 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Marker Gesture recognition mouse emulation