Clinical validation of a wearable system for emotional recognition based on biosignals.

Pastor Sanz, Laura; Vera Muñoz, Cecilia; Fico, Giuseppe y Arredondo Waldmeyer, Maria Teresa (2008). Clinical validation of a wearable system for emotional recognition based on biosignals.. "Journal of Telemedicine and Telecare", v. 14 (n. 3); pp. 152-154. ISSN 1357-633X. https://doi.org/10.1258/jtt.2008.003017.

Descripción

Título: Clinical validation of a wearable system for emotional recognition based on biosignals.
Autor/es:
  • Pastor Sanz, Laura
  • Vera Muñoz, Cecilia
  • Fico, Giuseppe
  • Arredondo Waldmeyer, Maria Teresa
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Telemedicine and Telecare
Fecha: Abril 2008
Volumen: 14
Materias:
Palabras Clave Informales: Clinical,biosignals, emotional classes, systems.
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The AUBADE system can be trained to classify a subject’s feelings into six different emotional classes, derived from three of the basic emotions (happiness, disgust and fear). The performance of different classifiers was examined. Biosignals were recorded from 24 healthy subjects who viewed pictures designed to invoke different emotional responses. A psychologist evaluated the emotional status of the subjects by looking at their faces. During the training stage, information from 15 subjects was used to teach the system how to discriminate the emotional status of the subject based on the biosignals provided as input. A subset of the data was used for comparing the performance of four different classifiers. They were evaluated using three different metrics: sensitivity, positive predictive accuracy and accuracy. Using the SVM classifier, the AUBADE system provided sensitivities in the range 63–81%. The positive predictive accuracy was in the range 71–95%. The accuracy was in the range 63–83%, depending on the emotional class considered. The work paves the way for remote telemonitoring of patients suffering from neurological diseases.

Más información

ID de Registro: 2256
Identificador DC: http://oa.upm.es/2256/
Identificador OAI: oai:oa.upm.es:2256
Identificador DOI: 10.1258/jtt.2008.003017
URL Oficial: http://jtt.rsmjournals.com/content/vol14/issue3/
Depositado por: Memoria Investigacion
Depositado el: 12 Feb 2010 12:56
Ultima Modificación: 20 Abr 2016 12:00
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