The Tele-Immersive Data Explorer: A Distributed Architecture for Collaborative Interactive Visualization of Large Data-sets

There exist a number of scientific visualization systems designed to provide a two-dimensional interface to the user. However, little consideration has been given to the development of collaborative virtual environments for visualization purposes. This paper discusses the Tele-Immersive Data Explorer a generalizable framework to facilitate the construction of domain-specific data exploration applications challenged with the problem of having to visualize massive data-sets immersively and collaboratively. In the paper we describe the framework's conceptual organization, its distributed multiprocessed objectoriented architecture, and its application to visualize gridded scalar data. KEYWORDS Tele-immersion, collaborative virtual reality, data mining, multivariate data, annotations, persistent environments, design patterns. 1 INTRODUCTION Research scientists and engineers need to analyze massive data sets generated by intensive computational simulations, geographic information systems..

Pre-surgical Cranial Implant Design using the PARIS_Prototype," presented at

Repairing severe human skull injuries requires customized cranial implants, and current visualization research aims to develop a new approach to create these implants. Following pre-surgical design techniques pioneered at the University of Illinois at Chicago (UIC) in 1996, researchers have developed an immersive cranial implant application incorporating haptic force feedback and augmented reality. The application runs on the Personal Augmented Reality Immersive System (PARIS™), allowing the modeler to see clearly both his hands and the virtual workspace. The strengths of multiple software libraries are maximized to simplify development. This research lays the foundation to eventually replace the traditional modeling and evaluation processes. 1

Exploiting Multiple Perspectives in Tele-Immersion

The work in this paper describes a preliminary observational study conducted on users of CAVE6D, a collaborative CAVE-based virtual reality tool for visualizing multivariate oceanographic data sets. CAVE6D presents the concept of multiple perspectives by allowing participants to customize their views while working collaboratively and supporting the views either privately or globally. The goal of this study is to understand how tele-immersed participants cooperate when presented with multiple perspectives and to explore ways to leverage these perspectives to allow scientists to more rapidly interpret massive multi-dimensional data sets

Motivating Rehabilitation by Distorting Reality

.Abstract – We have found, through a series of recent experiments, encouraging evidence that the neuromotor system is motivated to change motor patterns when exposed to visuo-motor tasks. We have also shown that the learning of these tasks can be heightened with forces and/or visual distortions that appropriately manipulate the error. This process does not require intense concentration and it is often considered a game. We describe the next generation of robotic large-workspace, three dimensional haptics/graphics systems for rehabilitation. Index Terms – learning, adaptation, rehabilitation, human, stroke

CAVERNsoft G2: A toolkit for high performance tele-immersive collaboration

This paper describes the design and implementation of CAVERNsoft G2, a toolkit for building collaborative virtual reality applications. G2’s special emphasis is on providing the tools to support high-performance computing and data intensive systems that are coupled to collaborative, immersive environments. This paper describes G2’s broad range of services, and demonstrates how they are currently being used in a collaborative volume visualization application