Table of Contents
ISRN Artificial Intelligence
Volume 2013 (2013), Article ID 514641, 18 pages
http://dx.doi.org/10.1155/2013/514641
Review Article

3D Gestural Interaction: The State of the Field

Department of EECS, University of Central Florida, Orlando, FL 32816, USA

Received 9 September 2013; Accepted 14 October 2013

Academic Editors: O. Castillo, R.-C. Hwang, and P. Kokol

Copyright © 2013 Joseph J. LaViola Jr. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

3D gestural interaction provides a powerful and natural way to interact with computers using the hands and body for a variety of different applications including video games, training and simulation, and medicine. However, accurately recognizing 3D gestures so that they can be reliably used in these applications poses many different research challenges. In this paper, we examine the state of the field of 3D gestural interfaces by presenting the latest strategies on how to collect the raw 3D gesture data from the user and how to accurately analyze this raw data to correctly recognize 3D gestures users perform. In addition, we examine the latest in 3D gesture recognition performance in terms of accuracy and gesture set size and discuss how different applications are making use of 3D gestural interaction. Finally, we present ideas for future research in this thriving and active research area.