Using a Simple Electroencephalograph for Activity Recognition of Learners
Author:
Affiliation:
1. Artificial Intelligence Research Center, Fujitsu Laboratories Ltd.
2. Kyushu University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/137/3/137_542/_pdf
Reference15 articles.
1. (1) H. Abe, T. Kamizono, K. Kinoshita, K. Baba, S. Takano, and K. Murakami: “Towards activity recognition of learners in on-line lecture”, Journal of Mobile Multimedia, Vol. 11, No. 3&4, pp. 205-212 (2015)
2. (2) H. Abe, K. Kinoshita, K. Baba, S. Takano, and K. Murakami: “Analyzing brain waves for activity recognition of learners”, In Information and Communication Technology, Vol. 9357 of Lecture Notes in Computer Science, pp. 64-73, Springer (2015)
3. (3) C. M. Bishop: Pattern Recognition and Machine Learning (Information Science and Statistics), Springer (2006)
4. (4) M. Chaouachi and C. Frasson: “Exploring the relationship between learner EEG mental engagement and affect”, In Proc. of the 10th International Conference on Intelligent Tutoring Systems-Volume Part II, Vol. 6095 of Lecture Notes in Computer Science, pp. 291-293. Springer (2010)
5. (5) L. Chen, H. Wei, and J. Ferryman: “A survey of human motion analysis using depth imagery”, Pattern Recognition Letters, Vol. 34, No. 15, pp. 1995-2006 (2013)
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