IM- Adaptive Immersive Data Analyzer (AIDA)

INTEGRATED MEDIA SYSTEMS CENTERA National Science FoundationEngineering Research Center at theUNIVERSITY OF SOUTHERN CALIFORNIA

PRINCIPAL INVESTIGATOR

Prof. Cyrus Shahabicshahabi@usc.edu (213) 740-8600

OTHER USC RESEARCHERS

Prof. Albert Rizzo

USC STAFFYi-Shin Chen

AIDA: Adaptive Immersive Data Analyzer

USC STUDENTS, DEGREES

Mehdi Sharifzadeh, Ph.D.; Farid Parvini, Ph.D.

BRIEF DESCRIPTION OF DEMONSTRATION

AIDA (Adaptive Immersive Data Analyzer) is an adaptive application for querying and analyzing the data generated by an immersiveenvironment. By focusing on off-line queries over immersive data sets, it supports a wide range of complex queries from knowledgediscovery to spatio-temporal queries. AIDA's database schema design and efficient query sets are common for general immersiveenvironments. This demonstration provides a prototype suitable for the design and development of domain-specific query and analysisapplications on the users' interactions with the corresponding immersive environment. AIDA has implemented a set of application-specific queries for Immersive Classroom application (IC).

With AIDA, we proved the effectiveness of our process of identifying the different types of data pertaining to immersive environments,applying the appropriate data model to conceptualize this data and finally implementing the data analyzer that incorporates differentclasses of general-purpose and application-specific queries over immersive data sets.

IM- Adaptive Immersive Data Analyzer (AIDA)

UNIQUE OR DISTINGUISHING CHARACTERISTICS RELATIVE TO STATE-OF-THE-ART

• Spatio-temporal query analysis and visualization

APPLICATIONS

• Analysis and visualization of datareceived from any ImmersiveEnvironment, specifically fromImmersive Classroom

RECENT HIGHLIGHTS, LEVEL OF DEVELOPMENT, UPCOMING MILESTONES

• Development: Implemented in Java, using JDBC protocol for connecting to the underneathOR-DBMS.

• Upcoming Milestone: Support very complex and efficient queries on multidimensional andbulky data received from an Immersive Environment.

UNDERLYING TECHNOLOGIES

• AIMS: An Immersidata Management System• Real-Time Pattern Isolation And Recognition Over Immersive Sensor Data Streams• Spatio-temporal database technology

LIST OF PUBLICATIONS, REFERENCES, URLs

• A.A. Rizzo, T. Bowerly, M.T. Schultheis, R. Matheis, C. Shahabi, U. Neumann, L. Kim, M. Sharifzadeh, and J.G. Buckwalter, VirtualEnvironments for the Assessment of Attention and Memory Processes: The Virtual Classroom and Office, Proceedings of The 4thInternational Conference on Disability,Virtual Reality and Associated Technology, Veszprém, Hungary, 2002.

• C. Shahabi, G. Barish, B. Ellenberger, N. Jiang, M. Kolahdouzan, A. Nam, and R. Zimmermann, ImmersidataManagement:Challenges in Management of Data Generated within an Immersive Environment,In Proceedings of MultimediaInformation Systems (MIS), October 1999.

• C. Shahabi, AIMS: An Immersidata Management System, CIDR'03: Conference on Innovative Data Systems Research, PacificGrove(CA), January 2003.

• C. Shahabi, M. Sharifzadeh, A.A. Rizzo, Modeling Data of Immersive Environments, ACM First International Workshop onImmersive Telepresence (ITP 2002), Juan Les Pins, France, December 2002.

• C. Shahabi and D. Yan, Real-Time Pattern Isolation And Recognition Over Immersive Sensor Data Streams, The 9th InternationalConference On Multi-Media Modeling , Taiwan, January, 2003 (Invited Paper).

• SQR: A Stream Query Repository. http://www.db.stan-ford.edu/stream/sqr. Joint effort of several data stream research groups.• http://infolab.usc.edu

For additional information, please contact the Principal Investigator listed above via email, or contactIsaac Maya, Ph.D., P.E. 213-740-2592Director, Industry and Technology Transfer Programs imaya@imsc.usc.edu

Ann Spurgeon 213-740-4877Associate Director of Industry Programs aspurgeo@imsc.usc.eduFor additional information on the Integrated Media Systems Center (IMSC), please visit our web site at http://imsc.usc.edu

Integrated Media Systems Center3740 McClintock Avenue, Suite 131Los Angeles, CA 90089-2561213-740-8931 (fax)