Abstract
This study aims to verify the correlation of change in the emotional state through music with changes in the EEG prior to the application of neuroeducation tests. A brief analysis of the EEG equipment available on the market is also presented. The verification of the emotional state provoked and modulated through music offers indications for the necessity of carrying out an equalization of the brain signals that precede educational tests with the use of the EEG. Results from tests of seven volunteer individuals indicate that exposure to the specific soundtrack has changed emotional state, and therefore resulted in brain waves homogeneously to all individuals, confirming the need for and importance of using a pre-experiment methodology when using EEG for educational analysis to avoid results of data not coming from the proposed experiment. This research is the first stage of research that proposes the development of a protocol for using the EEG in neuroeducation. The second stage, under development, will provide a brain mathematical model with a focus to compare different educational instruments e their effectivity during to student learning process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Adamos, D. A., Dimitriadis, S. D., Laskaris, N.: Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference. Inf. Sci. 94–108 (2016)
Badcock, N., Preece, K., Wit, B., Glenn, K., Fieder, N., Thie, J., McArthur, G.: Validation of the Emotiv EPOC EEG System for research quality auditory event-related potentials in children (2015). https://doi.org/10.7717/peerj.907
Eaton, J., Williams, D., Miranda, E.: Affective jukebox: a confirmatory study of eeg emotional correlates in response to musical stimuli. In: ICMC. Interdisciplinary Centre for Computer Music research, Greece (2014)
Ehrlich, S. K., Agres, K. R., Guan, C., Cheng, G.: A closed-loop, music-based brain-computer interface for emotion mediation. PLOS ONE 14(3), e0213516 (2019)
Harrison, T.: The Emotiv mind: investigating the accuracy of the Emotiv EPOC, in identifying emotions and its use in an Intelligent Tutoring System. Honours report, University of Canterbury, New Zealand (2013)
Langroudi, G., Jordanous, A., Li, L.: Music Emotion Capture: sonifying emotions in EEG data. In: Emotion Modelling and Detection in Social Media and Online Interaction Symposium Convention, Liverpool, UK (2018)
Lebed, A. A.: Emotiv Gitbook. https://emotiv.gitbook.io/emotivpro/data_streams/performance-metrics. Emotiv Company. Last accessed 29 Nov 2018
Nogueira, K.: Estudo de respostas emocionais às cores no contexto de cartazes de cinema. Design e Tecnologia 8, 1 (2018). https://doi.org/10.23972/det2018iss15pp1-11
Russell, J., Lemay, G.: “Emotion concepts”. In: Lewis, M. & Haviland-Jones, M. (Eds.) Handbook of Emotion. Guilford Press, New York (2000)
Wang, Q., Sourina, O.: Real-time mental arithmetic task recognition from EEG signals. IEEE Trans. Neural Syst. Rehabil. Eng. 21(2), 225–232. (2013)
Wegemer, C.: Brain-computer interfaces and education: the state of technology and imperatives for the future. Int. J. Learn. Technol. 14(2), 141–161 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Prestes, L.P., Zaro, M.A., da Silva, P.F., de Aguiar, F.R., Halmenschlager, G. (2023). Mental State Equalization for Neuroeducation: Methodology and Protocol for Applying Electroencephalogram in Educational Instruments. In: Mesquita, A., Abreu, A., Carvalho, J.V., de Mello, C.H.P. (eds) Perspectives and Trends in Education and Technology . Smart Innovation, Systems and Technologies, vol 320. Springer, Singapore. https://doi.org/10.1007/978-981-19-6585-2_8
Download citation
DOI: https://doi.org/10.1007/978-981-19-6585-2_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6584-5
Online ISBN: 978-981-19-6585-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)