Studying the effect of lecture content on students’ EEG data in classroom using SVD

Areej Babiker, Ibrahima Faye, Aamir Saeed Malik, Hiroki Satou

研究成果: Conference contribution

抜粋

The recent innovation in technology led to huge advancement in Human-Computer Interface (HCI) systems and applications. Detection of brain activities is the vital element in these applications. This paper is employing Singular Value Decomposition (SVD) on EEG data acquired simultaneously from students in classroom to detect the changes of brain activities during learning process. Situational interest of subjects and the learning materials were evaluated through questionnaires. After preprocessing and segmentation of the data, SVD was applied on each segment separately. The 2-norms of the singular values were compared to the subject baseline and the overall result complied with the questionnaire result. Furthermore, feeding these features to Support Vector Machine (SVM) classifier achieved 83.3% accuracy in differentiating between high and low situationally interested students. It is therefore, suggested that SVD could be applied successfully to detect changes in students’ brain activities in classrooms.

元の言語English
ホスト出版物のタイトル2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ200-204
ページ数5
ISBN(電子版)9781538624715
DOI
出版物ステータスPublished - 2019 1 24
イベント2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Kuching, Malaysia
継続期間: 2018 12 32018 12 6

出版物シリーズ

氏名2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings

Conference

Conference2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018
Malaysia
Kuching
期間18/12/318/12/6

    フィンガープリント

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine (miscellaneous)
  • Health Informatics
  • Instrumentation

これを引用

Babiker, A., Faye, I., Malik, A. S., & Satou, H. (2019). Studying the effect of lecture content on students’ EEG data in classroom using SVD. : 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings (pp. 200-204). [8626664] (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2018.8626664