Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5911
Title: Real-time multi-objective hand posture/gesture recognition by using distance classifiers and finite state machine for virtual mouse operations
Authors: Aksaç A.
Öztürk O.
Özyer, T.
Issue Date: 2011
Source: 7th International Conference on Electrical and Electronics Engineering, ELECO 2011, 1 December 2011 through 4 December 2011, Bursa, 88625
Abstract: Cameras that are connected to computers record sequence of digital images of human hand in order to interpret human posture/gesture. Human hand posture/gesture recognition has been utilized for providing virtual reality mechanism and it is still an ongoing research in human-computer interaction (HCI) community. Virtual reality can be operated on a particular program but it will be more effective if the entire system can be controlled for the sake of generality. Another direction is the applicability of virtual reality in real time. In this paper, we have developed a virtual mouse system that can recognize the pre-defined mouse movements in real time regardless of the context. Our real time hand recognition system is three fold. 1) skin detection, 2) feature extraction and 3) recognition. For recognition, various features with their own objectives are constructed from hand postures andcompared according to the similarity measures and the best-matched posture is used as a mouse action to control the cursor of the computer. © 2011 Chamber of Turkish Electric.
URI: https://hdl.handle.net/20.500.11851/5911
ISBN: 9786050102048
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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