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Proceedings Paper

Training and performance assessment of land mine detector operator using motion tracking and virtual mine lane
Author(s): Herman Herman; Jeffrey D. McMahill; George Kantor
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Paper Abstract

Landmine detection is a complex and highly dangerous task. Most demining operations are done using hand-held detectors, which means that the operator is always at risk of serious injury or death. One of the most important factor that determines the probability of detecting is the operator performance. Therefore, it is very important that we train the operator well and are able to assess their performance accurately. To achieve these objectives, we have been developing two training tools, the 3D tracker for real-time feedback during training, and the virtual mien lane for interactive training. We have been using the 3D tracker successfully to assess the performance of an operator as a prat of a successful training program.

Paper Details

Date Published: 22 August 2000
PDF: 12 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396233
Show Author Affiliations
Herman Herman, Carnegie Mellon Univ. (United States)
Jeffrey D. McMahill, Carnegie Mellon Univ. (United States)
George Kantor, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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