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.
Autorzy
Informacje dodatkowe
- DOI
- Cyfrowy identyfikator dokumentu elektronicznego link otwiera się w nowej karcie 10.1504/ijiids.2012.049304
- Kategoria
- Publikacja w czasopiśmie
- Typ
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Język
- angielski
- Rok wydania
- 2012
Źródło danych: MOSTWiedzy.pl - publikacja "Hand gesture recognition supported by fuzzy rules and Kalman filters" link otwiera się w nowej karcie
