%0 Conference Proceedings
%T Towards Emotional Interaction: Using Movies to Automatically Learn Users’ Emotional States
%+ Polytechnic Institute of Cávado and Ave
%+ Faculty of Sciences of the University of Lisbon (OI-FCUL)
%+ McGill University = Université McGill [Montréal, Canada]
%+ Universidade Fernando Pessoa
%A Oliveira, Eva
%A Benovoy, Mitchel
%A Ribeiro, Nuno
%A Chambel, Teresa
%Z Part 2: Long and Short Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th International Conference on Human-Computer Interaction (INTERACT)
%C Lisbon, Portugal
%Y Pedro Campos
%Y Nicholas Graham
%Y Joaquim Jorge
%Y Nuno Nunes
%Y Philippe Palanque
%Y Marco Winckler
%I Springer
%3 Human-Computer Interaction – INTERACT 2011
%V LNCS-6946
%N Part I
%P 152-161
%8 2011-09-05
%D 2011
%R 10.1007/978-3-642-23774-4_15
%K Affective computing
%K Emotion-aware systems
%K Human-centered design
%K Psychophysiological measures
%K Pattern-recognition
%K Discriminant analysis
%K Support vector machine classifiers
%K Movies classification and recommendation
%Z Computer Science [cs]Conference papers
%X The HCI community is actively seeking novel methodologies to gain insight into the user’s experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies’ scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01590568/document
%2 https://inria.hal.science/hal-01590568/file/978-3-642-23774-4_15_Chapter.pdf
%L hal-01590568
%U https://inria.hal.science/hal-01590568
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-6946