Pupil Size as Input Data to Distinguish Comprehension State in Auditory Word Association Task Using Machine Learning - researchr publication authors

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Kosei Minami, Keiichi Watanuki, Kazunori Kaede, Keiichi Muramatsu. Pupil Size as Input Data to Distinguish Comprehension State in Auditory Word Association Task Using Machine Learning. In Waldemar Karwowski, Tareq Z. Ahram, editors, Intelligent Human Systems Integration 2019 - Proceedings of the 2nd International Conference on Intelligent Human Systems Integration, IHSI 2019: Integrating People and Intelligent Systems, February 7-10, 2019, San Diego, California, USA. Volume 903 of Advances in Intelligent Systems and Computing, pages 123-129, Springer, 2019. [doi]

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