Abstract
A 3-d gesture recognition system can be used for a host of application including gesture base user interface, character recognition system, wireless human interface devices and virtual reality in 3d gaming. Human machine interaction has reached the point where machines are capable of interrupting gesture of human beings. The gestures are made by hand movement and facial expression. A gesture is detected and interrupted due to the movement of the hand and body. The data is wirelessly transmitted to the receiving station where for processing, some application.
This is a preview of subscription content, log in via an institution to check access.
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
Flanagan, J.A., Mantyjarvi, J.: Unsuperised clustering of symbol strings and context recogniton. In: ICDM, Maebashi, Japan, pp. 171–178
Choi, E.-S., Bang, W.-C., et al.: Beatbox Music Phone: Gesture Interactive Cell phone using Tri-axis Accelerometer. In: ICIT IEEE Int. Conference on Industrial Technology (2005)
Jaeger, S., Manke, S., Waibel, A.: Npen++: An on-line handwriting recognition system. In: Proc. 7th Int’l Workshop on Frontiers in Handwriting Recognition, September 2000, pp. 249–260 (2000)
Jain, A.K., Duin, R.P., Mao, J.: Statistical pattern recognition: A review. IEEE Trans. PAMI 22(1), 4–37 (2000)
Yeasin, M., Chaudhuri, S.: Visual understanding of dynamic hand gestures. Pattern Recognition 33, 1805–1817 (2000)
Campbell, L., et al.: Invariant features for 3-d gesture recognition. In: Proc. FG 1996, pp. 157–162 (1996)
Davis, J., Bobick, A.: The representation and recognition of action using temporal templates. In: Proc. of IEEE CVPR, San Juan, Puerto Rico (1977)
Licsar, A., Sziranyi, T.: Supervised Training Based Hand Gesture Recognition System. In: Proceedings of 16th International Conference on Pattern Recognition, vol. 3, pp. 999–1002 (2002)
Ueda, E., Matsumoto, Y., Imai, M., Ogasawara, T.: Handpose Estimation for Vision-based Human Interfaces. IEEE Transactions on Industrial Electronics 50, 676–684 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gupta, G., Verma, R.K. (2011). Wireless 3-D Gesture and Chaaracter Recoginition. In: Das, V.V., Thankachan, N., Debnath, N.C. (eds) Advances in Power Electronics and Instrumentation Engineering. PEIE 2011. Communications in Computer and Information Science, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20499-9_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-20499-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20498-2
Online ISBN: 978-3-642-20499-9
eBook Packages: Computer ScienceComputer Science (R0)