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Modeling of an Intuitive Gesture Recognition System

IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications
© 2012 by IJCA Journal
ACCTHPCA - Number 4
Year of Publication: 2012
Nithish R
Unnikrishnan T A

Nithish R and Unnikrishnan T A. Article: Modeling of an Intuitive Gesture Recognition System. IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications ACCTHPCA(4):41-45, July 2012. Full text available. BibTeX

	author = {Nithish R and Unnikrishnan T A},
	title = {Article: Modeling of an Intuitive Gesture Recognition System},
	journal = {IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications},
	year = {2012},
	volume = {ACCTHPCA},
	number = {4},
	pages = {41-45},
	month = {July},
	note = {Full text available}


This paper presents a brief study of the various techniques that are used to model the intuitive gestures, in particular the gestures involving the hands. Here we study mainly three techniques: Haar Classifiers, Hidden Markov Model & Vision Based Tracking Using Color Markers. We also design a gesture based interaction system using vision based tracking using color markers to interact with the computer. The system uses both static & interactive gestures.


  • Qing Chen, Nicolas D. Georganas, Emil M. Petriu, "Real-time Vision-based Hand Gesture Recognition Using Haar-like Features" presented at Instrumentation and Measurement Technology Conference – IMTC 2007 Warsaw, Poland, May 1-3, 2007.
  • Hardy Francke, Javier Ruiz-del-Solar and Rodrigo Verschae, "Real-time Hand Gesture Detection and Recognition using Boosted Classifiers and Active Learning", Department of Electrical Engineering, Universidad de Chile.
  • Tin Hninn Hninn Maung, "Real-Time Hand Tracking and Gesture Recognition System Using Neural Networks" presented at World Academy of Science, Engineering and Technology, 2009.
  • Tie Yang, Yangsheng Xu, "Hidden Markov Model for Gesture Recognition", The Robotics Institute, Carnegie Mellon University, May 1994.
  • Mahmoud Elmezain, Ayoub Al-Hamadi, Jorg Appenrodt, Bernd Michaelis, "A Hidden Markov Model-Based Continuous Gesture Recognition System for Hand Motion Trajectory", Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany, 2008.
  • Stefan Eickeler, Gerhard Rigoll, "Continuous Online Gesture Recognition Based on Hidden Markov Models", Faculty of Electrical Engineering-Computer Science, Gerhard-Mercator-University Duisburg.
  • Asanterabi Malima, Erol Özgür, and Müjdat Çetin, "A Fast Algorithm For Vision-Based Hand Gesture Recognition For Robot Control", Faculty of Engineering and Natural Sciences, Sabanc? University, Tuzla, ?stanbul,Turkey.
  • Pranav Mistry, Pattie Maes, "SixthSense: a wearable gestural interface", SIGGRAPH ASIA Art Gallery & Emerging Technologies, Yokohoma, Japan, December 2009.
  • Niels Henze, Andreas Löcken, Susanne Boll,T obias Hesselmann and Martin Pielot ,"Free-hand gestures for music playback: deriving gestures with a user-centred process", Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia, 2010.
  • Van den Bergh, Michael and Van Gool Luc, "Combining RGB and ToF cameras for real-time 3D hand gesture interaction", Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV), 2011.
  • Catalin Constantin Moldovan and Ionel Staretu, "Real-time gesture recognition for controlling a virtual hand", Proceedings of 2011 International Conference on Optimization of the Robots and Manipulators (OPTIROB 2011), Romania, 2011.
  • Yale Song, David Demirdjian and Randall Davis,"Tracking Body and Hands For Gesture Recognition: NATOPS Aircraft Handling Signals Database", Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition (FG 2011), March 2011.