Hand gesture recognition supported by fuzzy rules and Kalman filters. (1st January 2012)

• Record Type: Journal Article
• Authors: Lech, Michał; Kostek, Bożena
• Is Part Of: International journal of intelligent information and database systems. Volume 6:Number 5(2012)
• Page Start: 407
• Page End: 420
• Publication Date: 2012-01-01
• Subjects: fuzzy rules -- fuzzy logic -- Kalman filters -- hand gesture recognition -- camera -- multimedia projector; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

The paper presents a system based on camera and multimedia projector 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 interactive whiteboard application is given as an example of the system usage.