A novel human hand finger gesture recognition using machine learning

Author

Quraishi, Md Iqbal ; Dhal, K.G. ; Choudhury, J.P. ; Ghosh, Prosenjit ; Sai, P. ; De, M.

Author_Institution

Dept. of IT, Kalyani Gov. Eng. Coll., Kalyani, India

fYear

2012

fDate

6-8 Dec. 2012

Firstpage

882

Lastpage

887

Abstract

Human-Computer Interaction (HCI) using intelligent artificial computing interface is a fast emerging and revolutionary field of study of computer vision. This present study is concerned with making computers responsive to human gestures and postures. In this paper a simple alternative method for hand gesture recognition system has been proposed. The system takes various fingers postures and try to recognize them using machine learning. A pattern of gestures is trained and tested to show the results using linear artificial neural network.

Keywords

computer vision; gesture recognition; human computer interaction; learning (artificial intelligence); neural nets; HCI; computer vision; fingers postures; human gestures; human hand finger gesture recognition; human postures; human-computer interaction; intelligent artificial computing interface; linear artificial neural network; machine learning; Phase locked loops; Testing; Thumb; YCbCr colorspace; centroid; computer vision; feature extraction; gesture; linear artificial neural network; skin color matching algorithm; sobel filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on

Conference_Location

Solan

Print_ISBN

978-1-4673-2922-4

Type

conf

DOI

10.1109/PDGC.2012.6449940

Filename

6449940