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Behavior Modeling for Detection, Identification, Prediction, and Reaction (DIPR) in AI Systems Solutions

  • Rachel E. Goshorn
  • Deborah E. Goshorn
  • Joshua L. Goshorn
  • Lawrence A. Goshorn

Abstract

The application need for distributed artificial intelligence (AI) systems for behavior analysis and prediction is a requirement today versus a luxury of the past. The advent of distributed AI systems with large numbers of sensors and sensor types and unobtainable network bandwidth is also a key driving force. Additionally, the requirement to fuse a large number of sensor types and inputs is required and can now be implemented and automated in the AI hierarchy, and therefore, this will not require human power to observer, fuse, and interpret.

Keywords

Application Model Finite State Machine Abnormal Behavior Hand Posture Ambient Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Rachel E. Goshorn
    • 1
  • Deborah E. Goshorn
    • 2
    • 3
    • 4
  • Joshua L. Goshorn
    • 5
  • Lawrence A. Goshorn
    • 5
  1. 1.Systems Engineering DepartmentNaval Postgraduate SchoolMontereyU.S.A
  2. 2.Naval Postgraduate School, MOVES InstituteMontereyU.S.A
  3. 3.University of CaliforniaSan DiegoUS
  4. 4.Computer Science and Engineering DepartmentLa JollaU.S.A
  5. 5.JLG Technologies, Inc.Pebble BeachU.S.A

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