Vision Based Gesture Recognition System
Keywords:
Gesture Recognition, Segmentation, Feature Extraction, Gesture ClassificationAbstract
Lately, the research world has been aggressively exploring techniques and means to develop effective systems for Human Computer Interaction (HCI). Humans interact with computers using different interfaces like Graphical User Interfaces (GUI), Voice User Interfaces (VUI) and Gestures. Among these methods gesture interaction provides a very handy means of dealing with computers. The goal of gesture recognition is to recognize and differentiate the human gestures and make use of these gestures for applications in specific areas. The aim of this paper is to provide a survey on numerous techniques employed for gesture recognition, and to outline preliminary system architecture for implementation.
References
Wikipedia, "Gesture recognition," [Online]. Available: http://en.m.wikipedia.org/wiki/Gesture_recognition.
V. I. Pavlovic, R. Sharma and T. S.Huang, "Visual Interpretation of Hand Gestures for Human-Computer Interaction : A Review," IEEE Transactions on Pattern Analysis And machine Intelligence, vol. 19, pp. 677 - 695, 1997.
M. C. A. Burande, P. R. M. Tugnayat and Prof.Dr. Nitin K. Choudhary, "Advanced Recognition Techniques for Human Computer Interaction," IEEE, vol. 2, pp. 480-483, 2010.
S.Mitra and T.Acharya, "Data Mining:Multimedia, Soft Computing and Bioinformatics".
R. Y.Wang and J. Popovic, "Real-time Hand Tracking with a Color Glove," ACM Transactions on Graphics, 2009.
Z. Ren, J. Meng, J. Yuan and Z. Zhang, "Robust Hand Gesture Recognition with Kinect Sensor," ACM, 2011.
A. S. Ghotkar and G. K. Kharate, "Vision based Real Time Hand Gesture Recognition Techniques for Human Computer Interaction," International Journal of Computer Applications, vol. 70, no. 16, pp. 1-6, 2013.
A. S. Ghotkar and G. K. Kharate, "Hand Segmentation Techniques to Hand Gesture Recognition for Natural Human Computer Interaction," International Journal of Human Computer Interaction, vol. 3, no. 1, pp. 15-25, 2012.
J. Alon, V. Athitsos, Q. Yuan and S. Sclaroff, "A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation," IEEE Transactions of Pattern Analysis and Machine Intelligence, 2009.
S. S. Al-amri, N. Kalyankar and K. S.D, "Image Segmentation by Using Thershold Techniques," JOURNAL OF COMPUTING, vol. 2, no. 5, pp. 83-86, 2010.
A. Dhawan and V. Honrao, "Implementation of Hand Detection based Techniques for Human Computer Interaction Human Computer Interaction," International Journal of Computer Applications, vol. 72, no. 17, pp. 6-13, 2013.
N. A. Ibraheem, R. Z. Khan and M. M. Hasan, "Comparative Study of Skin Color based Segmentation Techniques," International Journal of Applied Information Systems, vol. 5, no. 10, pp. 25-38, 2013.
C. M. Sharma and S. Saxena, "A Context-aware Approach for Detecting Skin Colored Pixels in Images," International Journal of Computer Applications, vol. 71, no. 17, pp. 8-13, 2013.
P. Campadelli, F. Cusmai and R. Lanzarotti, "A Color-Based Method For Face Detection".
Y. Sriboonruang, P. Kumhom and K. Chamnongthai, "Visual Hand Gesture Interface for Computer Board Game Control," IEEE, 2006.
J. Zhang, F. Zhang and M. Ito, "Image processing based remote control with robot arm simulator," SICE, pp. 2344 - 2348, 2009.
D. K. Ghosh and S. Ari, "A Static Hand Gesture Recognition Algorithm Using K-Mean Radial Basis Function Neural Network," IEEE, 2011.
M. Bhuyan, D. Ghosh and P. Bora, "Designing of Human Computer Interactive Platform for Robotic Applications".
J. L. Raheja, R. Shyam and P. B. P. Umesh Kumar, "Real-time Robotic Hand Control Using Hand Gestures," IEEE, pp. 12-16, 2010.
P.V.V.Kishore and P. Kumar, "Segment, Track, Extract, Recognize and Convert Sign Language Videos to Voice/Text," International Journal of Advanced Computer Science and Applications, vol. 3, no. 6, pp. 35-47, 2012.
L. Dung and M. Mizukawa, "Fast Hand Feature Extraction Based on Connected Component Labeling, Distance Transform and Hough Transform," Journal of Robotics and Mechatronics, vol. 21, no. 6, 2009.
Y. Sriboonruang, P. Kumhom and K. Chamnongthai, "Visual Hand Gesture Interface for Computer Board," IEEE, 2006.
T.-N. Nguyen, H.-H. Huynh and J. Meunier, "Static Hand Gesture Recognition Using PCA Combined with ANN," Journal of Automation and Control Engineering, vol. 3, no. 1, 2015.
R. Gopalan and B. Dariush, "Toward a vision based hand gesture interface for robotic grasping," IEEE, pp. 1452-1459, 2009.
H. A. Jalab, "Static Hand Gesture Recognition for Human Computer Interaction," Information Technology Journal, pp. 1265 - 1271, 2012.
S. Gupta, J. Jaafar, W. F. w. Ahmad and A. Bansal, "Feature Extraction Using MFCC," Signal & Image Processing : An International Journal, vol. 4, no. 4, pp. 101-108, 2013.
H. Hasan and S.Abdul-Kareem, "Static Hand Gesture Recognition using Neural Networks," Springer, 2012.
H. Q. J. G. Jinwen Wei and Y. C. Jinwen Wei, "The Hand Shape Recognition of Human Computer Interaction with Artificial Neural Network," IEEE, p. 3809, 2009.
J. L. Raheja, R. Shyam, U. Kumar and P. B. Prasad, "Real-Time Robotic Hand Control using Hand Gestures," Second International Conference on Machine Learning and Computing- IEEE, pp. 13-16, 2010.
P. P. Dali and H. C.R, "Interpretation of Hand Gestures Using Neural Networks:A Review," International Journal of Computer Science and Information Technologies, pp. 1111-1114, 2015.
V. S. Kulkarni and S.D.Lokhande, "Appearance Based Recognition of American Sign Language Using Gesture Segmentation," International Journal on Computer Science and Engineering, pp. 560-565, 2010.
P. P. D and H. C.R, "Interpretation of Hand Gestures Using Neural Networks:A Review," International Journal of Computer Science and Information Technologies,, vol. 6, no. 2, pp. 1111-1114, 2015.
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