• 2 Citations
  • 1 h-Index
20162019
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Fingerprint Dive into the research topics where Siyuan Fang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Learning systems Engineering & Materials Science
Teaching Engineering & Materials Science
Electroencephalography Engineering & Materials Science
neural network Social Sciences
learning Social Sciences
Neural networks Engineering & Materials Science
Skin Engineering & Materials Science
aesthetics Social Sciences

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Research Output 2016 2019

  • 2 Citations
  • 1 h-Index
  • 3 Conference contribution
  • 1 Article

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

Network Algorithms
Learning systems
Teaching
Neural Networks
System Simulation

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

Teaching
speech act
Near infrared spectroscopy
Electroencephalography
learning

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

Learning systems
Neural networks
neural network
emotion
Electroencephalography
1 Citation (Scopus)

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

aesthetics
evaluation
neural network
experiment
Neural networks