A conductor provides a single unified vision of how to interpret and perform music. However, perceiving a conductor's musical intention and expression is quite challenging as they convey information to performers with subtle, nuanced, and highly individualized gestures. This artwork visualizes the conductor's gestures in order to give the audience a better understanding of its expressivity. To represent the expressivity of the gestures, we created motion profiles over eight frames, at 30 frames per second, and compared them to previously modeled gestures using three motion factors, called Weight, Space and Time from related concepts in Laban Movement Analysis (LMA). Based on this, we have created a real-time, interactive visualization that is driven by the motion factor parameters. The visualization receives the input video stream, and it is transformed into a representation of the three motion factors extracted from the real-time conducting gestures.

In this case study, a data-oriented approach is used to visualize a complex digital signal processing pipeline. The pipeline implements a frequency modulated (FM) software-defined radio (SDR). SDR is an emerging technology where portions of the radio hardware, such as filtering and modulation, are replaced by software components. We discuss how an SDR implementation is instrumented to illustrate the processes involved in FM transmission and reception. By using audio-encoded images, we illustrate the processes involved in radio, such as how filters are used to reduce noise, the nature of a carrier wave, and how frequency modulation acts on a signal. The visualization approach used in this work is very effective in demonstrating advanced topics in digital signal processing and is a useful tool for experimenting with the software radio design.

For quantitative examination of phenomena that simultaneously occur on very different spatial and temporal scales, adaptive hierarchical schemes are required. A special numerical multilevel technique, associated with a particular hierarchical data structure, is so-called adaptive mesh refinement (AMR). It allows one to bridge a wide range of spatial and temporal resolutions and therefore gains increasing popularity. We describe the interplay of several visualization and VR software packages for rendering time dependent AMR simulations of the evolution of the first star in the universe. The work was done in the framework of a television production for Discovery Channel television, "The Unfolding Universe.". Parts of the data were taken from one of the most complex AMR simulation ever carried out: It contained up to 27 levels of resolution, requiring modifications to the texture based AMR volume rendering algorithm that was used to depict the density distribution of the gaseous interstellar matter. A voice and gesture controlled CAVE application was utilized to define camera paths following the interesting features deep inside the computational domains. Background images created from cosmological computational data were combined with the final renderings.

Article Free Access Share on Experiences with virtual reality applications (panel) Authors: William R. Sherman The National Center for Supercomputing Applications The National Center for Supercomputing ApplicationsView Profile , Nina Adams Adams Consulting Group Adams Consulting GroupView Profile , Rita Addison View Profile , R. Bowen Loftin University of Houston and NASA/Johnson Space Center University of Houston and NASA/Johnson Space CenterView Profile , Ben Britton University of Cincinnati University of CincinnatiView Profile , Donna Cox The National Center for Supercomputing Applications The National Center for Supercomputing ApplicationsView Profile , Robert Patterson The National Center for Supercomputing Applications The National Center for Supercomputing ApplicationsView Profile Authors Info & Claims SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniquesAugust 1997 Pages 473–476https://doi.org/10.1145/258734.258913Online:03 August 1997Publication History 0citation535DownloadsMetricsTotal Citations0Total Downloads535Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

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