Distributed Trading Architecture with Sensors Support for a Secure Decision Making

  • Javier Martínez Fernández
  • Ralf Seepold
  • Natividad Martínez Madrid
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 81)


There are many environments in which wrong decisions may cause severe problems. The crucial issue is to detect the point of transition from a well-thought decision into a decision taken under stress. Sensors support monitoring of human behavior and tracking of individual biometric parameters. As a test case, a stock trader has been selected since this scenario where the stress factor occurs quite frequently. The architecture will be based on an OSGi Framework that allows integrating sensor data quickly. An expert system is implemented as an OSGi application to alert the user in case he is taking decisions under stress, and it will propose recommendations.


Stock Market Expert System Stress Sensor Stock Trader Trading Process 
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 B.V. 2011

Authors and Affiliations

  • Javier Martínez Fernández
    • 1
  • Ralf Seepold
    • 2
  • Natividad Martínez Madrid
    • 3
  1. 1.Universidad Carlos III de MadridLeganesSpain
  2. 2.University of Applied Sciences KonstanzKonstanzGermany
  3. 3.Reutlingen UniversityReutlingenGermany

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