Modeling stress recognition in typical virtual environments
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Applied Soft Computing
Modeling observer stress for typical real environments
Expert Systems with Applications: An International Journal
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This document presents two possible schemes suitable for stress detection. Considering only two physiological signals, namely Galvanic Skin Response and Heart Rate, both stress detection systems are able to detect in less than 10 seconds to what extend an individual is under stressing situations. Furthermore, their accuracy (around 95 %) and the time required to elucidate the stress level, yield to the conclusion that these approaches are two very suitable solutions for real-time security systems. Security systems could use these system to both detect stress level on individuals and, therefore, to make suppositions on the individual intentions and future actions in relation to the system.