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Abstract
The paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology. In addition, OpenCV is used for image processing and J2SE with jFuzzyLogic package is employed for gesture interpretation. Results of fuzzy rule-based and fixed threshold-based gesture recognition effectiveness are provided. Additionally, for fuzzy rule-based gesture recognition the system efficacy after utilising Kalman filters is examined. The so-called interactivewhiteboard application is given as an example of the system usage.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
International Journal of Intelligent Information and Database Systems
no. 6,
pages 407 - 420,
ISSN: 1751-5858 - Language:
- English
- Publication year:
- 2012
- Bibliographic description:
- Lech M., Kostek B.: Hand gesture recognition supported by fuzzy rules and Kalman filters// International Journal of Intelligent Information and Database Systems. -Vol. 6., nr. iss. 5 (2012), s.407-420
- DOI:
- Digital Object Identifier (open in new tab) 10.1504/ijiids.2012.049304
- Verified by:
- Gdańsk University of Technology
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