Call for Paper - September 2020 Edition
IJCA solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 20, 2020. Read More

Modeling of an Intuitive Gesture Recognition System

Print
PDF
IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications
© 2012 by IJCA Journal
ACCTHPCA - Number 4
Year of Publication: 2012
Authors:
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

@article{key:article,
	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}
}

Abstract

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.

References

  • 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.