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Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST

Published

Author(s)

Brian Weiss, Craig I. Schlenoff, Michael O. Shneier, Ann Virts

Abstract

The DARPA-funded Advanced Soldier Sensor Information Systems and Technology (ASSIST) project is aimed at developing soldier-worn sensors to increase a soldier s battlefield awareness during humanitarian and combat missions, provide them with data collection tools to augment their mission reporting capabilities following their field operations, and supply additional information to intelligence officers to enhance planning for future missions.  This effort is divided into two tasks; Task 1 focuses on hardware while Task 2 focuses on software.  The NIST-led Independent Evaluation Team is responsible for the design and implementation of tests to evaluate the ASSIST technologies developed by the Task 2 research teams; The IBM/MIT/Georgia Tech Team, The Sarnoff Team (composed of the Sarnoff Corporation, Carnegie Mellon University, and Vanderbilt University) and the University of Washington.  This paper discusses each Task 2 teams  technologies and the technology tests that are designed and implemented during the Baseline and Final Phase I Evaluations.
Proceedings Title
Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) Workshop | | 2006|
Conference Dates
August 21-23, 2006
Conference Location
Gaithersburg, MD, USA
Conference Title
Performance Metrics for Intelligent Systems (PerMIS) Workshop 2006

Keywords

ASSIST, DARPA, elemental tests, evaluations, image classification, object detection, performance metrics, soldier-worn sensors

Citation

Weiss, B. , Schlenoff, C. , Shneier, M. and Virts, A. (2007), Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST, Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) Workshop | | 2006|, Gaithersburg, MD, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823588 (Accessed May 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 30, 2007, Updated October 12, 2021