Abstract
Automated visual hand-gesture understanding could serve as a very practical tool in cases such as interfacing with intelligent machines (e.g. robots) ([1], [2]) or serving social purposes in the case of sign-language understanding [3].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
K. H. Queck, T. Mysliwiec and M. Zhao, “Finger Mouse: A Free-hand Pointing Interface”, Proc Int ‘l Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland, pp. 372–377, June 1995.
Torige and T. Kono, “Human-Interface by Recognition of Human Gestures With Image Processing Recognition of Gesture to Specify Moving Directions” IEEE Int ‘l Workshop on Robot and Human Communication, pp. 105–110, 1992.
C. Downton and H. Drouet, “Image Analysis for Model-based Sign Language Coding”, Progress in Image Analysis and Processing II: Proc. Sixth Int ‘l Conf. Image Analysis and Processing, pp. 637–644, 1991
L. Quam, “Gesture Recognition with a DataGlove”, Proc. 1990 IEEE National Aerospace and Electronics Conf., vol 2, 1990
J. Sturman and D. Zeltzer, “A Survey of Glove-based Input”, IEEE Computer Graphics and Applications, vol. 14, pp. 30–39, Jan 1994
Cipolla and N. J. Hollinghurst, “Human-Robot Interface by Pointing with Uncalibrated Stereo Vision”, Image and Vision Computing, vol. 14, pp. 171–178, Mar. 1996
Darrell, I. Essa and A. Pentland, “Task-Specific Gesture Analysis in Real-Time Using Interpolated Views”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no 12, pp. 1, 236-241, 242 Dec 1996
Kass, A. Witkin and D. Terzopoulos, “Snakes: Active contour models”, International Journal of Computer Vision, 1:321–331, 1987
K. Jain, Y. Zhong and S. Lakshmanan, “Object Matching Using Deformable Templates”, IEEE Pattern Analysis and Machine Intelligence, vol. 18, num. 3, 1996
J. Darrell, I. A. Essa and A. P. Pentland, “Task-Specific Gesture Analysis in Real-Time Using Interpolated Views”, IEEE Pattern Analysis and Machine Intelligence, vol. 18, num. 12, 1996
F. Bobick and A. D. Wilson, “A State-Based Approach to the Representation and Recognition of Gesture”, IEEE Pattern Analysis and Machine Intelligence, vol. 19, num. 12, 1997
Lanitis, C. J. Taylor and T. F. Cootes, “Automatic Interpretation and Coding of Face Images Using Flexible Models”, IEEE Pattern Analysis and Machine Intelligence, vol. 19, num. 7, 1997
D. Cohen and I. Cohen, “Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images”, IEEE Pattern Analysis and Machine Intelligence, vol. 15, num. 11, 1993
V. I. Pavlovic, R. Sharma and T. S. Huang, “Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review”, IEEE Pattern Analysis and Machine Intelligence, vol. 19, num. 7, 1997
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Viblis, M.K., Kyriakopoulos, K.J. (1999). Gesture Recognition : The Gesture Segmentation Problem. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_33
Download citation
DOI: https://doi.org/10.1007/978-94-011-4840-5_33
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-0393-6
Online ISBN: 978-94-011-4840-5
eBook Packages: Springer Book Archive