Abstract
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.
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Martínez Fernández, J., Seepold, R., Martínez Madrid, N. (2011). Distributed Trading Architecture with Sensors Support for a Secure Decision Making. In: Conti, M., Orcioni, S., Martínez Madrid, N., Seepold, R. (eds) Solutions on Embedded Systems. Lecture Notes in Electrical Engineering, vol 81. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0638-5_16
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DOI: https://doi.org/10.1007/978-94-007-0638-5_16
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