Towards affective learning with an EEG feedback approach

Xiaowei Li*, Bin Hu, Tingshao Zhu, Jingzhi Yan, Fang Zheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

51 Citations (Scopus)

Abstract

In the distance learning program, students' emotions need to be recognized and interpreted so as to motivate students and deepen learning. This paper focuses on how to conduct interactive learning between learners and teachers, and also proposes our solution based on EEG signal processing. We have set up a simulated environment of distance education, and recorded EEG signals of learners when they are visiting the website. We extract alpha waves (i.e., a component of EEG signals), and then merge it with the ontology of the website.

Original languageEnglish
Title of host publication1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Pages33-38
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 - Beijing, China
Duration: 19 Oct 200924 Oct 2009

Publication series

Name1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Conference

Conference1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Country/TerritoryChina
CityBeijing
Period19/10/0924/10/09

Keywords

  • Affective learning
  • Distance education
  • EEG
  • Ontologies

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