Title :
Two Stress Detection Schemes Based on Physiological Signals for Real-Time Applications
Author :
de Santos Sierra, A. ; Ávila, Carmen Sánchez ; Casanova, Javier Guerra ; Pozo, Gonzalo Bailador Del ; Vera, Vicente Jara
Author_Institution :
Grupo de Biometria y Tratamiento Numerico de la Informacion, Centro de Domotica Integral, Madrid, Spain
Abstract :
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.
Keywords :
medical signal processing; physiology; skin; galvanic skin response; heart rate; physiological signals; real-time application; real-time security systems; stress detection schemes; Accuracy; Biomedical monitoring; Heart rate; Real time systems; Security; Skin; Stress; Fisher Lineal Discriminant; Galvanic Skin Response; Heart Rate; Real-Time Applications; Security Systems; Stress detection; k-NN classification;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-8378-5
Electronic_ISBN :
978-0-7695-4222-5
DOI :
10.1109/IIHMSP.2010.95