These specific recognized patterns we refer to as 3D gestures. Tracked users can also use these handheld devices or their hands, fingers, and whole bodies to generate specific patterns over time that the computer can recognize to let users issue commands and perform activities. With this information, users can be immersed in 3D virtual environments and avateer virtual characters in video games and simulations and provide commands to various computer applications. This tracking can be done with sensors users wear or hold in their hands or unobtrusively with a camera. Once such method of interaction that has received considerable attention in recent years is 3D spatial interaction, where users’ motions are tracked in some way so as to determine their 3D pose (e.g., position and orientation) in space over time. Speech input, brain computer interfaces, and touch and pen-computing are all examples of input modalities that attempt to bring a synergy between user and machine and that provide a more direct and natural method of communication. Indeed, the notion of the post-WIMP interface (Windows, Icons, Menus, Point and Click) has given researchers the opportunity to explore alternative forms of interaction over the traditional keyboard and mouse. IntroductionĮver since Sutherland’s vision of the ultimate display, the notion of interacting with computers naturally and intuitively has been a driving force in the field of human computer interaction and interactive computer graphics.
Finally, we present ideas for future research in this thriving and active research area. 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.
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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. However, accurately recognizing 3D gestures so that they can be reliably used in these applications poses many different research challenges. 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.