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http://dx.doi.org/10.6109/jkiice.2017.21.3.636

Hand-Gesture Recognition Using Concentric-Circle Expanding and Tracing Algorithm  

Hwang, Dong-Hyun (School of Computer Science and Engineering, Korea University of Technology and Education)
Jang, Kyung-Sik (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.3, 2017 , pp. 636-642 More about this Journal
Abstract
In this paper, We proposed a novel hand-gesture recognition algorithm using concentric-circle expanding and tracing. The proposed algorithm determines region of interest of hand image through preprocessing the original image acquired by web-camera and extracts the feature of hand gesture such as the number of stretched fingers, finger tips and finger bases, angle between the fingers which can be used as intuitive method for of human computer interaction. The proposed algorithm also reduces computational complexity compared with raster scan method through referencing only pixels of concentric-circles. The experimental result shows that the 9 hand gestures can be recognized with an average accuracy of 90.7% and an average algorithm execution time is 78ms. The algorithm is confirmed as a feasible way to a useful input method for virtual reality, augmented reality, mixed reality and perceptual interfaces of human computer interaction.
Keywords
Hand Gesture Recognition; Hand Tracking; Human-Computer Interaction; Computer Vision;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 D. H. Hwang, K. S. Jang, "Finger-Gesture Recognition Using Concentric-Circle Tracing Algorithm," Journal of Korea Institute of Information and Communication Engineering, vol. 19, no. 12, pp. 2956-2962, Dec. 2015.   DOI
2 K. Oka, Y. Sato, and H. Koike, "Real-time fingertip tracking and gesture recognition," IEEE Computer graphics and Applications, vol. 22, no. 6, pp. 64-71, Nov. 2002.   DOI
3 P, Singh, R. S. Lodhi, "Hand tracking and head movement detection: A State-of-Art Survey," International Journal of Computer and Advanced Engineering Research, vol. 1, no. 2, pp. 12-16, Aug. 2014.
4 S. Nagarajan, T. S. Subashini, and V. Ramalingam, "Vision based real time finger counter for hand gesture recognition," International Journal of Technology, vol. 2. no. 2, pp. 1-5, Dec. 2012.
5 A. Malima, E. Ozgur, and M. Cetin, "A fast algorithm for vision-based hand gesture recognition for robot control," in Proceedings of the IEEE 14th Signal Processing and Communications Applications, Antalya: TR, 2006.
6 A. R. Sarkar, G. Sanyal, and S. Majumder, "Hand gesture recognition systems: a survey," International Journal of Computer Applications, vol. 71, no. 15, pp. 26-37, May 2013.
7 S. C. Ji, S. W. Kang, J. S. Kim and H. Joo, "The Development of a Real-Time Hand Gestures Recognition System Using Infrared Images," Journal of Institute of Control, Robotics and Systems, vol. 21, no. 12, pp. 1100- 1108, Dec. 2015.   DOI
8 S. K. Singh, D. S. Chauhan, M. Vasta, and R. Singh, "A robust skin color based face detection algorithm," Tamkang Journal of Science and Engineering, vol. 6, no. 4, pp. 227- 234, Dec. 2003.
9 W. T. Freeman, et al, "Computer vision for interactive computer graphics," IEEE Computer Graphics and Applications, vol. 18, no. 3, pp. 42-53, May 1998.   DOI