Memorias de investigación
Communications at congresses:
Clinical Validation of a wearable system for emotional recognition based on biosignals
Year:2007

Research Areas
  • Telematics

Information
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.
International
Si
Congress
TeleMed & eHealth ¿07: Supporting Self-Care
960
Place
Londres
Reviewers
Si
ISBN/ISSN
Start Date
26/11/2007
End Date
27/11/2007
From page
To page
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Life Supporting Technologies (Tecnologías de Apoyo a la Vida)
  • Departamento: Tecnología Fotónica
  • Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT