Title :
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
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;
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
DOI :
10.1109/PDGC.2012.6449940
