Network Transfer of Control Data: An Application of the NIST Smart Data Flow

Published

July 1, 2003

Author(s)

Martial Michel, Vincent M. Stanford, O P. Galibert

Abstract

Pervasive Computing environments range from basic mobile point of sale terminal systems, to rich Smart Spaces with many devices and sensors such as lapel microphones, audio and video sensor arrays and multiple interactive PDA acting as electronic brief cases, providing authentication, and user preference data to the environment. These systems present new challenges in distributed human-computer interfaces such as how to best use sensor streams, distribute interfaces across multiple devices, and dynamic network management as users come an go, and as devices are added or fail.The NIST Smart Data Flow system is a low overhead, high bandwidth transport mechanism for standardized multi-modal data streams. It is designed to allow integration of multiple sensors with distributed processing needed for the sense-recognize-respond cycle of multi modal user interfaces. Its core is a server/client architecture, allowing clients to produce or subscribe to data flows, and supporting steps toward scalable processing, distributing the computing requirements among many network connected computers and pervasive devices.This article introduces the communication broker and provides an example of an effective real time sensor fusion to track a speaker with a video camera using data captured from multi-channel microphone array.among many network connected computers and pervasive devices.

Proceedings Title

Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '03)

Conference Location

, CA

Pub Type

Conferences

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Citation

Michel, M. , Stanford, V. and Galibert, O. (2003), Network Transfer of Control Data: An Application of the NIST Smart Data Flow, Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '03), , CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50766 (Accessed December 6, 2024)