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A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control
Abstract
We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form. We consider a fixed set of manual commands and a reasonably structured environment, and develop a simple, yet effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture. The algorithm is invariant to translation, rotation, and scale of the hand. We demonstrate the effectiveness of the technique on real imagery.
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Citations
Cited by
Vision Based Hand Gesture Recognition
Garg, P., Aggarwal, N., & Sofat, S. (2009) · doi:10.5281/zenodo.1074854 · Cited by 275
A Multi-scale Approach to Gesture Detection and Recognition
Neverova, N., Wolf, C., Paci, G., Sommavilla, G., Taylor, G. W., & Nebout, F. (2013) · 2013 IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2013.69 · Cited by 52
Metadata
- Authors
- Malima, A., Ozgur, E., & Cetin, M.
- Venue
- 2006 IEEE 14th Signal Processing and Communications Applications
- Publisher
- IEEE
- Published
- 2006-08-02
- Pages
- 1-4
- OpenAlex
- W2108060683
- Cited by
- 213
- References
- 0
- FWCI
- 4.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control. https://app.cochat.ai/papers/10.1109/siu.2006.1659822
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- Malima, A., Ozgur, E., & Cetin, M. (2006). A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control. 2006 IEEE 14th Signal Processing and Communications Applications. https://doi.org/10.1109/siu.2006.1659822
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