EEG: A way to explore learner's affect in pervasive learning systems

Jizheng Wan; Bin Hu; Xiaowei Li

doi:10.1007/978-3-642-13067-0_15

EEG: A way to explore learner's affect in pervasive learning systems

Jizheng Wan, Bin Hu^*, Xiaowei Li

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect in pervasive learning systems, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies. Our research focused on using Electroencephalography (EEG) approach to explore learner's affect. We analysed the EEG data using different signal processing algorithms and a real time EEG feedback based prototype was implemented to evaluate our findings. The result of experiment was encouraging and further discussion was also included in this paper.

Original language	English
Title of host publication	Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings
Pages	109-119
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-13067-0_15
Publication status	Published - 2010
Externally published	Yes
Event	5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 - Hualien, Taiwan, Province of China Duration: 10 May 2010 → 13 May 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6104 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010
Country/Territory	Taiwan, Province of China
City	Hualien
Period	10/05/10 → 13/05/10

Keywords

Affective Learning
ApEn
EEG
FastICA
Pervasive Computing

Access to Document

10.1007/978-3-642-13067-0_15

Cite this

Wan, J., Hu, B., & Li, X. (2010). EEG: A way to explore learner's affect in pervasive learning systems. In Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings (pp. 109-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6104 LNCS). https://doi.org/10.1007/978-3-642-13067-0_15

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title = "EEG: A way to explore learner's affect in pervasive learning systems",

abstract = "Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect in pervasive learning systems, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies. Our research focused on using Electroencephalography (EEG) approach to explore learner's affect. We analysed the EEG data using different signal processing algorithms and a real time EEG feedback based prototype was implemented to evaluate our findings. The result of experiment was encouraging and further discussion was also included in this paper.",

keywords = "Affective Learning, ApEn, EEG, FastICA, Pervasive Computing",

author = "Jizheng Wan and Bin Hu and Xiaowei Li",

year = "2010",

doi = "10.1007/978-3-642-13067-0_15",

language = "English",

isbn = "3642130666",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "109--119",

booktitle = "Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings",

note = "5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 ; Conference date: 10-05-2010 Through 13-05-2010",

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Wan, J, Hu, B & Li, X 2010, EEG: A way to explore learner's affect in pervasive learning systems. in Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6104 LNCS, pp. 109-119, 5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010, Hualien, Taiwan, Province of China, 10/05/10. https://doi.org/10.1007/978-3-642-13067-0_15

EEG: A way to explore learner's affect in pervasive learning systems. / Wan, Jizheng; Hu, Bin; Li, Xiaowei.
Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. 2010. p. 109-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6104 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010

AU - Wan, Jizheng

AU - Hu, Bin

AU - Li, Xiaowei

PY - 2010

Y1 - 2010

N2 - Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect in pervasive learning systems, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies. Our research focused on using Electroencephalography (EEG) approach to explore learner's affect. We analysed the EEG data using different signal processing algorithms and a real time EEG feedback based prototype was implemented to evaluate our findings. The result of experiment was encouraging and further discussion was also included in this paper.

AB - Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect in pervasive learning systems, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies. Our research focused on using Electroencephalography (EEG) approach to explore learner's affect. We analysed the EEG data using different signal processing algorithms and a real time EEG feedback based prototype was implemented to evaluate our findings. The result of experiment was encouraging and further discussion was also included in this paper.

KW - Affective Learning

KW - ApEn

KW - EEG

KW - FastICA

KW - Pervasive Computing

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U2 - 10.1007/978-3-642-13067-0_15

DO - 10.1007/978-3-642-13067-0_15

M3 - Conference contribution

AN - SCOPUS:77953736970

SN - 3642130666

SN - 9783642130663

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings

Y2 - 10 May 2010 through 13 May 2010

ER -

Wan J, Hu B, Li X. EEG: A way to explore learner's affect in pervasive learning systems. In Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings. 2010. p. 109-119. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13067-0_15

EEG: A way to explore learner's affect in pervasive learning systems

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