1. Seo, J., Laine, T.H., Oh, G., Sohn, K.-A. EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models. Sensors 2020, 20, 7212. [link]

  2. Yoo, H, Seo, J, and Sohn, K. (2020). Image-based Deep Learning Approach for EEG Signal Classification, in Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2020, Online, Republic of Korea.  1321-1322. [link]


  1. Seo, J, Laine, T.H. and Sohn, K. (2019). An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data, Sensors, vol. 19, no. 20. [link]

  2. Seo, J, Laine, T.H. and Sohn, K. (2019). Machine learning approaches for boredom classification using EEG, Journal of Ambient Intelligence and Humanized Computing. [link]

  3. Kim, J, Seo, J, and Sohn, K. (2019). Deep Learning based Recognition of Visual Digit Reading Using Frequency Band of EEG, in Proceedings of Korea Software Congress 2019, Pyeongchang, Republic of Korea. [link]


  1. Seo, J. and Laine T.H. (2018). Accurate position and orientation independent step counting algorithm for smartphones, Journal of Ambient Intelligence and Smart Environments, vol. 10, no. 6, pp. 481-495. [link]

  2. Kim, J., Seo, J. and Laine T.H. (2018). Detecting Boredom from Eye Gaze and EEG, Biomedical Signal Processing and Control, vol. 46, September 2018, pp. 302-313. [link]

  3. Seo, J. and Sohn, K. (2018). Alcoholic classification model using EEG, in Proceedings of Korea Software Congress 2018, Pyeongchang, Republic of Korea. [link]


  1. Laato, S., Laine, T.H., Seo, J., Ko, W. and Sutinen, E. (2017). Designing a Game for Learning Math by Composing: A Finnish Primary School Case, in Proceedings of the IEEE 17th International Conference on Advanced Learning Technologies, Timisoara, Romania, pp. 136-138. [link]


  1. Lindberg, R.S.N, Seo, J.R. and Laine, T.H. (2016). Enhancing Physical Education with Exergames and Wearable Technology, IEEE Transactions on Learning Technologies, vol. 9, no. 4, pp. 328-341. [link]


  1. Seo, J.R., Chiang, Y.T., Laine, T.H. and Khan, A. (2015). Step counting on smartphones using advanced zero-crossing and linear regression, in Proceedings of the International Conference on Ubiquitous Information Management and Communication (ICUIMC), Bali, Indonesia. [link]