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Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers

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HCI International 2023 – Late Breaking Papers (HCII 2023)

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Abstract

This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on Electroencephalography (EEG) research, highlighting the latest trends as of 2023. The objective is to provide undergraduate researchers with an accessible overview of the BCI field, covering tasks, algorithms, and datasets. By synthesizing recent findings, our aim is to offer a fundamental understanding of BCI research, identifying promising avenues for future investigations.

Nathan, Michael, and Xufeng are the first three authors of this paper, and they contributed equally. Professor Xiaodong Qu is the mentor for this research project.

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Author information

Authors and Affiliations

  1. Swarthmore College, Swarthmore, 19081, USA

    Nathan Koome Murungi, Michael Vinh Pham & Xiaodong Qu

  2. Haverford College, Haverford, 19041, USA

    Xufeng Dai

Authors
  1. Nathan Koome Murungi
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  2. Michael Vinh Pham
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  3. Xufeng Dai
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  4. Xiaodong Qu
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Corresponding author

Correspondence to Nathan Koome Murungi .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

  3. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  4. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  5. Southern University of Science and Technology, Shenzhen, China

    Marcelo M. Soares

  6. Coventry University, Coventry, UK

    Don Harris

  7. Cranfield University, Cranfield, UK

    Wen-Chin Li

  8. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  9. Katmai Government Services, Orlando, FL, USA

    Cali M. Fidopiastis

  10. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Murungi, N.K., Pham, M.V., Dai, X., Qu, X. (2023). Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers. In: Kurosu, M., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14054. Springer, Cham. https://doi.org/10.1007/978-3-031-48038-6_27

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  • DOI: https://doi.org/10.1007/978-3-031-48038-6_27

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