Towards affective learning with an EEG feedback approach

Authors:
Xiaowei Li;Bin Hu;Tingshao Zhu;Jingzhi Yan;Fang Zheng
Affiliations:
Lanzhou University, Lanzhou, China;Lanzhou University, Lanzhou, China;Graduate University of Chinese, Beijing, China;Lanzhou University, Lanzhou, China;Lanzhou University, Lanzhou, China
Venue:
MTDL '09 Proceedings of the first ACM international workshop on Multimedia technologies for distance learning
Year:
2009

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Emotional state classification from EEG data using machine learning approach

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Abstract

In the distance learning program, students' emotions need to be recognized and interpreted so as to motivate students and deepen learning. This paper focuses on how to conduct interactive learning between learners and teachers, and also proposes our solution based on EEG signal processing. We have set up a simulated environment of distance education, and recorded EEG signals of learners when they are visiting the website. We extract alpha waves (i.e., a component of EEG signals), and then merge it with the ontology of the website.