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

Volume

2

fYear

2009

fDate

11-14 Dec. 2009

Firstpage

529

Lastpage

532

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2009. CIS '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5411-2

Type

conf

DOI

10.1109/CIS.2009.29

Filename

5376177