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|Author(s):||Brian A. Weiss; Craig I. Schlenoff; Michael O. Shneier; Ann M. Virts;|
|Title:||Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST|
|Published:||January 31, 2007|
|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.|
|Conference:||Performance Metrics for Intelligent Systems (PerMIS) Workshop 2006|
|Proceedings:||Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) Workshop | | 2006||
|Dates:||August 21-23, 2006|
|Keywords:||ASSIST,DARPA,elemental tests,evaluations,image classification,object detection,performance metrics,soldier-worn sensors|
|Research Areas:||Metrology and Standards for Manufacturing Systems and Data|
|PDF version:||Click here to retrieve PDF version of paper (640KB)|