Memorias de investigación
Artículos en revistas:
Clinical validation of a wearable system for emotional recognition based on biosignals
Año:2008
Áreas de investigación
  • Telemática
Datos
Descripción
The AUBADE system can be trained to classify a subjects feelings into six different emotional classes, derived from three of the basic emotions. 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.
Internacional
Si
JCR del ISI
No
Título de la revista
Journal of telemedicine and telecare
ISSN
1357-633X
Factor de impacto JCR
0
Información de impacto
Volumen
14-1
DOI
10.1258/jtt.2008.003017
Número de revista
0
Desde la página
152
Hasta la página
154
Mes
ENERO
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Life Supporting Technologies (Tecnologías de Apoyo a la Vida)
  • Departamento: Tecnología Fotónica