Title :
Stress detection from speech and Galvanic Skin Response signals
Author :
Kurniawan, Hindra ; Maslov, Alexey V. ; Pechenizkiy, Mykola
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Eindhoven, Eindhoven, Netherlands
Abstract :
The problem of stress-management has been receiving an increasing attention in related research communities due to a wider recognition of potential problems caused by chronic stress and due to the recent developments of technologies providing non-intrusive ways of collecting continuously objective measurements to monitor person´s stress level. Experimental studies have shown already that stress level can be judged based on the analysis of Galvanic Skin Response (GSR) and speech signals. In this paper we investigate how classification techniques can be used to automatically determine periods of acute stress relying on information contained in GSR and/or speech of a person.
Keywords :
bioelectric phenomena; electrical conductivity; medical signal detection; medical signal processing; skin; speech; speech processing; acute stress periods; chronic stress; continuously objective measurements; galvanic skin response signals; speech signals; stress detection; stress level monitoring; stress management; Accuracy; Feature extraction; Mel frequency cepstral coefficient; Skin; Speech; Stress; Support vector machines;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on
Conference_Location :
Porto
DOI :
10.1109/CBMS.2013.6627790