Pilot Study of Emotion Recognition through Facial Expression

This paper presents our finding from a pilot study on human reaction through facial expression as well as brainwave changes when being induced by audio-visual stimuli while using the Emotiv Epoc equipment. We hypothesize that Emotiv Epoc capable to detect the emotion of the participants and the graphs would match with facial expression display. In this study, four healthy men were chosen and being induced with eight videos, six videos are predefined whereas the other two videos are personalized. We aim for identifying the optimum set up for the real experiment, to validate the capability of the Emotiv Epoc and to obtain spontaneous facial expression database. Thus, from the pilot study, the principal result shows that emotion is better if being induced by using personalized videos. Not only that, it also shows the brainwave produced by Emotiv Epoc is aligned with the facial expression especially for positive emotion cases. Hence, it is possible to obtain spontaneous database in the present of Emotiv Epoc

Emotion Recognition for Intelligent Tutoring

Abstract. Individual teaching has been considered as the most successful educational form since ancient times. This form still continues its existence nowadays within intelligent systems intended to provide adapted tutoring for each student. Although, recent research has shown that emotions can affect student's learning, adaptation skills of tutoring systems are still imperfect due to weak emotional intelligence. To enhance ongoing research related to the improvement of the tutoring adaptation based on both student's knowledge and emotional state, the paper presents an analysis of emotion recognition methods used in recent developments. Study reveals that sensor-lite approach can serve as a solution to problems related to emotion identification accuracy. To provide ground-truth data for emotional state, we have explored and implemented a selfassessment method