TY - GEN
T1 - Neural Networks for Emotion Recognition Based on Eye Tracking Data
AU - Aracena, Claudio
AU - Basterrech, Sebastian
AU - Snasel, Vaclav
AU - Velasquez, Juan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/12
Y1 - 2016/1/12
N2 - We present an approach for emotion recognition using information of the pupil. In last years, the pupil variables have been used as an assessment of emotional arousal. In this article, we generate signals of pupil size and gaze position monitored during image viewing. The emotions are provoked by visual stimuli of colored images. Those images were taken from the International Affective Picture System which has been the reference for objective emotional assessment based on visual stimuli. For recognising the emotions we use the evolution of the eye tracking data during a window of time. The learning dataset is composed by the evolution of the pupil size and the gaze position, and labels associated to the emotional states. We study two kinds of learning tools based on Neural Networks. We obtain promising empirical results that show the potential of using temporal learning tools for emotion recognition.
AB - We present an approach for emotion recognition using information of the pupil. In last years, the pupil variables have been used as an assessment of emotional arousal. In this article, we generate signals of pupil size and gaze position monitored during image viewing. The emotions are provoked by visual stimuli of colored images. Those images were taken from the International Affective Picture System which has been the reference for objective emotional assessment based on visual stimuli. For recognising the emotions we use the evolution of the eye tracking data during a window of time. The learning dataset is composed by the evolution of the pupil size and the gaze position, and labels associated to the emotional states. We study two kinds of learning tools based on Neural Networks. We obtain promising empirical results that show the potential of using temporal learning tools for emotion recognition.
KW - Affective Computing
KW - Computer-Human Interaction
KW - Emotion Recognition
KW - Neural Networks
KW - Temporal Learning Problem
UR - https://www.scopus.com/pages/publications/84964466889
U2 - 10.1109/SMC.2015.460
DO - 10.1109/SMC.2015.460
M3 - Conference contribution
AN - SCOPUS:84964466889
T3 - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
SP - 2632
EP - 2637
BT - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Y2 - 9 October 2015 through 12 October 2015
ER -