Human Computer Interaction Using Hand Gestures

by Prashan Premaratne

Overview

Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their 'lounge.' This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI.

Product Details

ISBN-13:	9789811011818
Publisher:	Springer Nature Singapore
Publication date:	07/25/2017
Series:	Cognitive Science and Technology
Edition description:	Softcover reprint of the original 1st ed. 2014
Pages:	174
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

About the Author

Dr. Prashan Premaratne is a Senior Member of IEEE and has been a Guest Editor of Bio-Inspired Computing and Applications 7th ICIC, Guest Editor of International Journal of Information Technology 11(12); Guest Editor - International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP); and Guest Editor on a special issue in Neurocomputing Journal (Elsevier, 2006). He is also an ARC OzReader in Mathematics, Information and Communication. He was the Tutorial Chair of ICIC2008 conference in Shanghai, China and was the Program Committee Chair of ICIC2006 conference held in Kunming, China. He has also published over 80 IEE/IEEE refereed publications in signal and image processing and has been invited to chair sessions in major IEEE conferences such as ISIMP2004, in Hong Kong and ICIC2005 in China, ICIAFS 2008, ICIAFS 2010 and IASTED-EAS 2012.

Table of Contents

Chapter Description.- Historical Development of Hand Gesture Recognition.- Pre-processing.- Feature Extraction.- Effective Hand Gesture Classification Approaches.- Sign Languages of the World.- Future Trends in Hand Gesture Recognition.

Editorial Reviews

From the book reviews:

“This book is suitable for undergraduate students because the mathematics and color theory are beyond the general layperson. Each chapter is fully referenced, pointing to other sources of related information. I recommend it for students engaged in human-computer research and those looking for an in-depth understanding of these concepts.” (S. M. Godwin, Computing Reviews, February, 2015)

From the Publisher