@INPROCEEDINGS{1154Rodriguez2008, AUTHOR = {Daniel Rodriguez and Lutz Goldmann and Surachai Ongkittikul and Mustafa Karaman and Thomas Sikora}, TITLE = {A System for Personalized Human Computer Interaction}, BOOKTITLE = {50th International Symposium ELMAR-2008, September, Proceedings, Zadar, Croatia, Vol. 2 of 2}, YEAR = {2008}, MONTH = sep, EDITOR = {Mislav Grgic, Sonja Grgic}, PUBLISHER = {ELMAR, Croatian Society Electronics in Marine, Zadar}, PAGES = {439--442}, ORGANIZATION = {ELMAR, Zadar}, ADDRESS = {Department of Wireless Communications, Faculty of Electrical Engineering and Computering, University of Zagreb, Croatia}, URL = {http://www.elmar-zadar.org/2008/}, 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.} }