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A System for Personalized Human Computer Interaction
Citation key 1154Rodriguez2008
Author Daniel Rodriguez and Lutz Goldmann and Surachai Ongkittikul and Mustafa Karaman and Thomas Sikora
Title of Book 50th International Symposium ELMAR-2008, September, Proceedings, Zadar, Croatia, Vol. 2 of 2
Pages 439–442
Year 2008
Address Department of Wireless Communications, Faculty of Electrical Engineering and Computering, University of Zagreb, Croatia
Month sep
Editor Mislav Grgic, Sonja Grgic
Publisher ELMAR, Croatian Society Electronics in Marine, Zadar
Organization ELMAR, Zadar
Abstract This paper describes an advanced user-interface that detects and identifies people from video data, tracks their body and body part movements, and recognizes a set of gesture-based user commands. In this way an exemplar implementation for interacting with an intelligent cash machine is presented. The system combines person identification and gesture recognition for increased performance with accurate skin detection and high gesture recognition rates for a database of 10 users of varying skin tone and clothing color.
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