• 5 Citations
  • 1 h-Index
20162019

Research output per year

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Research Output

  • 5 Citations
  • 1 h-Index
  • 3 Conference contribution
  • 1 Article
2016

A computational model simulating the mental function of multicolor aesthetic evaluation

Fang, S., Muramatsu, K. & Matsui, T., 2016, (Accepted/In press) In : Color Research and Application.

Research output: Contribution to journalArticle

4 Citations (Scopus)
2017

Extraction of relationships between learners' physiological information and learners' mental states by machine learning

Tawatsuji, Y., Uno, T., Okazaki, K., Fang, S. & Matsui, T., 2017 Jan 1, Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. Mohd Ayub, A. F., Mitrovic, A., Yang, J-C., Wong, S. L. & Chen, W. (eds.). Asia-Pacific Society for Computers in Education, p. 56-61 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Real-time estimation of learners' mental states from learners' physiological information using deep learning

Tawatsuji, Y., Uno, T., Fang, S. & Matsui, T., 2018 Nov 24, ICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings. Rodrigo, M. M. T., Yang, J-C., Wong, L-H. & Chang, M. (eds.). Asia-Pacific Society for Computers in Education, p. 107-109 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
2019

Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm

Matsui, T., Tawatsuji, Y., Fang, S. & Uno, T., 2019 Jan 1, Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings. Chang, M., Coy, A. & Hayashi, Y. (eds.). Springer-Verlag, p. 63-71 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11528 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution