A Stress-Detection System Based on Physiological Signals and Fuzzy Logic


Autoria(s): Santos Sierra, Alberto de; Sánchez Ávila, Carmen; Guerra Casanova, Javier; Bailador del Pozo, Gonzalo
Data(s)

2011

Resumo

A stress-detection system is proposed based on physiological signals. Concretely, galvanic skin response (GSR) and heart rate (HR) are proposed to provide information on the state of mind of an individual, due to their nonintrusiveness and noninvasiveness. Furthermore, specific psychological experiments were designed to induce properly stress on individuals in order to acquire a database for training, validating, and testing the proposed system. Such system is based on fuzzy logic, and it described the behavior of an individual under stressing stimuli in terms of HR and GSR. The stress-detection accuracy obtained is 99.5% by acquiring HR and GSR during a period of 10 s, and what is more, rates over 90% of success are achieved by decreasing that acquisition period to 3-5 s. Finally, this paper comes up with a proposal that an accurate stress detection only requires two physiological signals, namely, HR and GSR, and the fact that the proposed stress-detection system is suitable for real-time applications.

Formato

application/pdf

Identificador

http://oa.upm.es/13629/

Idioma(s)

spa

Relação

http://oa.upm.es/13629/1/INVE_MEM_2011_101089.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5680639&tag=1

info:eu-repo/semantics/altIdentifier/doi/10.1109/TIE.2010.2103538

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 2011, Vol. 58, No. 10

Palavras-Chave #Robótica e Informática Industrial #Medicina
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed