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

Pastor Sanz, Laura and Vera Muñoz, Cecilia and Fico, Giuseppe and 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.

Description

Title: Clinical validation of a wearable system for emotional recognition based on biosignals.
Author/s:
  • Pastor Sanz, Laura
  • Vera Muñoz, Cecilia
  • Fico, Giuseppe
  • Arredondo Waldmeyer, Maria Teresa
Item Type: Article
Título de Revista/Publicación: Journal of Telemedicine and Telecare
Date: April 2008
ISSN: 1357-633X
Volume: 14
Subjects:
Freetext Keywords: Clinical,biosignals, emotional classes, systems.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 2256
DC Identifier: http://oa.upm.es/2256/
OAI Identifier: oai:oa.upm.es:2256
DOI: 10.1258/jtt.2008.003017
Official URL: http://jtt.rsmjournals.com/content/vol14/issue3/
Deposited by: Memoria Investigacion
Deposited on: 12 Feb 2010 12:56
Last Modified: 20 Apr 2016 12:00
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