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 language | English |
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Title of host publication | 1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 |
Pages | 33-38 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | 1st 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 2009 → 24 Oct 2009 |
Publication series
Name | 1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 |
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Conference
Conference | 1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 |
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Country/Territory | China |
City | Beijing |
Period | 19/10/09 → 24/10/09 |
Keywords
- Affective learning
- Distance education
- EEG
- Ontologies
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Li, X., Hu, B., Zhu, T., Yan, J., & Zheng, F. (2009). Towards affective learning with an EEG feedback approach. In 1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 (pp. 33-38). (1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09). https://doi.org/10.1145/1631111.1631118