Virtual mouse control with hand gesture information extraction and tracking

Author

Dogan, Ramazan Ozgur ; Dogan, Hulya ; Kose, Cemal

Author_Institution

Bilgisayar Teknolojileri Bolumu, Gumushane Univ., Gümüşhane, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

1893

Lastpage

1896

Abstract

Virtual mouse implemented with hand gesture tracking based on image is one of studies in human-computer interaction. In this study that human-computer interaction is implemented with virtual mouse is purposed. This study consists of three main steps that are hand gesture tracking, features of hand region extraction and classification of these features. In this study hand gesture tracking is generated with Camshift (Continuously Adaptive Mean Shift) algorithm, features of hand gestures are extracted with bag of visual words and these features are classified with support vector machines. Detailed tests are performed to compare success of tracking, features extraction and classisfication methods and that this system works successfully is shown.

Keywords

feature extraction; human computer interaction; image classification; mouse controllers (computers); support vector machines; Camshift algorithm; continuously adaptive mean shift algorithm; feature classification; hand gesture information extraction; hand gesture tracking; hand region feature extraction; human-computer interaction; support vector machine; virtual mouse control; Conferences; Feature extraction; Human computer interaction; Kalman filters; Mice; Support vector machines; Visualization; bag of visual words; camshift; human-computer interaction; support vector machines; virtual mouse;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7130228

Filename

7130228