Title :
Vision-Based Human-Computer System Using Hand Gestures
Author :
Liu, Yun ; Zhang, Peng
Author_Institution :
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
In this paper, we proposed a hand gesture recognition system for Human Computer Interaction purposes. We first adopted AdaBoost algorithm to detect the user´s hand automatically from the video stream which is based on Haar-like features as the representation of hand gestures. Then, a Multi-class Support Vector Machines was used to training and recognition the hand gesture based on the Hu invariant moments features. Finally, the Human Computer Conversation in the manner of hand gesture interaction instead of traditional mouse and keyboard was implemented.
Keywords :
Haar transforms; algorithm theory; gesture recognition; human computer interaction; support vector machines; Haar like features; Hu invariant moments features; adaboost algorithm; detect users hand automatically; hand gesture recognition system; human computer conversation; support vector machines; vision based human computer system; Computational intelligence; Computer vision; Feature extraction; Humans; Interactive systems; Keyboards; Mice; Object detection; Streaming media; Support vector machines; AdaBoost algrithom; hand gesture detection; hand gesture recognition; human-computer interaction; support vector machines;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.29
