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Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.040812
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 8, 2013.
Abstract: The object of this paper is to develop an emotion recognition system that analysis the motion trajectory of the eye and gives the response on appraisal emotion. The emotion recognition solution is based on the data gathering using head mounted eye tracking device. The participants of experimental investigation were provided with a visual stimulus (PowerPoint slides) and the emotional feedback was determined by the combination of eye tracking device and emotion recognition software. The stimulus was divided in four groups by the emotion that should be triggered in the human, i.e., neutral, disgust, exhilaration and excited. Some initial experiments and the data on the recognition accuracy of the emotion from eye motion trajectory are provided along with the description of implemented algorithms.
Vidas Raudonis, Gintaras Dervinis, Andrius Vilkauskas, Agne Paulauskaite - Taraseviciene and Gintare Kersulyte - Raudone, “Evaluation of Human Emotion from Eye Motions” International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040812