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

Santos Sierra, Alberto de; Sánchez Ávila, Carmen; Guerra Casanova, Javier y Bailador del Pozo, Gonzalo (2011). A Stress-Detection System Based on Physiological Signals and Fuzzy Logic. "IEEE Transactions on Industrial Electronics", v. 58 (n. 10); pp. 4857-4865. ISSN 0278-0046. https://doi.org/10.1109/TIE.2010.2103538.

Descripción

Título: A Stress-Detection System Based on Physiological Signals and Fuzzy Logic
Autor/es:
  • Santos Sierra, Alberto de
  • Sánchez Ávila, Carmen
  • Guerra Casanova, Javier
  • Bailador del Pozo, Gonzalo
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Transactions on Industrial Electronics
Fecha: 2011
Volumen: 58
Materias:
Escuela: Centro de Domótica Integral (CeDInt) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 13629
Identificador DC: http://oa.upm.es/13629/
Identificador OAI: oai:oa.upm.es:13629
Identificador DOI: 10.1109/TIE.2010.2103538
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5680639&tag=1
Depositado por: Memoria Investigacion
Depositado el: 16 Oct 2012 08:28
Ultima Modificación: 21 Abr 2016 12:57
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