An Automatic EEG Based System for the Recognition of Math Anxiety

Manousos A. Klados; Niki Pandria; Alkinoos Athanasiou; Panagiotis D. Bamidis

doi:10.1109/CBMS.2017.107

An Automatic EEG Based System for the Recognition of Math Anxiety

Manousos A. Klados, Niki Pandria, Alkinoos Athanasiou, Panagiotis D. Bamidis

College of Health and Life Sciences

Research output: Chapter in Book/Published conference output › Conference publication

13 Citations (Scopus)

Abstract

Mathematical Anxiety is the feeling of fear or dislike when dealing with mathematical rich situations. Although math anxiety seems to be innocent it can seriously affect so the learning procedure, as the future carrier directions. The accurate recognition of math anxiety is very important so for diagnostic purposes as for e-learning systems. This work comes to present an automatic system for the detection of math anxiety based on electroencephalographic (EEG) signals, that are supposed to be more subjective, compared to self-report and psychometric questionnaires, since they cannot be intentionally modulated. For this reason we have gathered multichannel EEG recordings from two groups with different levels of math anxiety (Low and High). From these EEG signals we have extracted 466 features and then using a feature selection algorithm we ended to only one feature that was able to recognize math anxiety with 93.75% accuracy using a Naive Bayesian Tree with 10-fold cross validation.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
Publisher	IEEE
Pages	409-412
Number of pages	4
Volume	2017-June
ISBN (Electronic)	9781538617106
DOIs	https://doi.org/10.1109/CBMS.2017.107
Publication status	Published - 13 Nov 2017
Event	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece Duration: 22 Jun 2017 → 24 Jun 2017

Publication series

Name	Proceedings IEEE International Symposium on Computer-Based Medical Systems
Publisher	IEEE
ISSN (Print)	2372-9198

Conference

Conference	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Country/Territory	Greece
City	Thessaloniki
Period	22/06/17 → 24/06/17

Funding

ACKNOWLEDGMENT The present work was partially funded by the research committee of the Aristotle University of Thessaloniki given as a scholarship to Dr. Klados for the second year of PhD studies.

Keywords

Automatic Recognition of Anxiety
EEG
Math Anxiety
Mathematical Cognition

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10.1109/CBMS.2017.107

Cite this

Klados, M. A., Pandria, N., Athanasiou, A., & Bamidis, P. D. (2017). An Automatic EEG Based System for the Recognition of Math Anxiety. In Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (Vol. 2017-June, pp. 409-412). Article 8104228 (Proceedings IEEE International Symposium on Computer-Based Medical Systems). IEEE. https://doi.org/10.1109/CBMS.2017.107

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title = "An Automatic EEG Based System for the Recognition of Math Anxiety",

abstract = "Mathematical Anxiety is the feeling of fear or dislike when dealing with mathematical rich situations. Although math anxiety seems to be innocent it can seriously affect so the learning procedure, as the future carrier directions. The accurate recognition of math anxiety is very important so for diagnostic purposes as for e-learning systems. This work comes to present an automatic system for the detection of math anxiety based on electroencephalographic (EEG) signals, that are supposed to be more subjective, compared to self-report and psychometric questionnaires, since they cannot be intentionally modulated. For this reason we have gathered multichannel EEG recordings from two groups with different levels of math anxiety (Low and High). From these EEG signals we have extracted 466 features and then using a feature selection algorithm we ended to only one feature that was able to recognize math anxiety with 93.75% accuracy using a Naive Bayesian Tree with 10-fold cross validation.",

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Klados, MA, Pandria, N, Athanasiou, A & Bamidis, PD 2017, An Automatic EEG Based System for the Recognition of Math Anxiety. in Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. vol. 2017-June, 8104228, Proceedings IEEE International Symposium on Computer-Based Medical Systems, IEEE, pp. 409-412, 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, 22/06/17. https://doi.org/10.1109/CBMS.2017.107

An Automatic EEG Based System for the Recognition of Math Anxiety. / Klados, Manousos A.; Pandria, Niki; Athanasiou, Alkinoos et al.
Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Vol. 2017-June IEEE, 2017. p. 409-412 8104228 (Proceedings IEEE International Symposium on Computer-Based Medical Systems).

Research output: Chapter in Book/Published conference output › Conference publication

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Klados MA, Pandria N, Athanasiou A, Bamidis PD. An Automatic EEG Based System for the Recognition of Math Anxiety. In Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Vol. 2017-June. IEEE. 2017. p. 409-412. 8104228. (Proceedings IEEE International Symposium on Computer-Based Medical Systems). doi: 10.1109/CBMS.2017.107

An Automatic EEG Based System for the Recognition of Math Anxiety

Abstract

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Keywords

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