Université d'Auvergne Clermont1 | CNRS


Analysis of physiological signals for emotion recognition

10/01/2013 11:30
10/01/2013 12:30
Fethi Bereksi
Petit amphithéâtre, bâtiment 3C, faculté de médecine


The emotion recognition is one of the great challenges in human-human and human- computer interaction.
In this presentation, an approach for the emotions recognition based on physiological signals is proposed. Six basic emotions: joy, sadness, fear, disgust, neutrality and amusement are analysed using physiological signals.
These emotions are induced through the presentation of IAPS pictures (International Affecting Picture System) to the subjects.
The physiological signals of interest in this analysis are: electromyogram signal (EMG), respiratory volume (RV), skin temperature (SKT), skin conductance (SKC), blood  volume pulse (BVP) and heart rate (HR). These are selected to extract some characteristic parameters (temporal and frequential parameters), which will be used for classifying the emotions.
The SVM (support vector machines) technique is used for classifying these parameters.
Directeur du laboratoire de Recherche en Génie Biomédical et Responsable du Master en Instrumentation Biomédicale
Département de Génie Electronique et Electronique
Faculté de Technologie
Université de Tlemcen, Algérie
Domaines d’intérêts
Instrumentation Biomédicale et traitement des signaux physiologiques et Electrophysiologiques,