Mental state and emotion detection from musically stimulated EEG

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Abstract

This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of such studies specifically an experimental protocol, the EEG machine, number of channels investigated, feature extracted, categories of emotions, the brain area, the brainwaves, statistical tests, machine learning algorithms used for classification and validation of the developed model. This article comments on how these different approaches have particular weaknesses and strengths. Ultimately, this review concludes a suitable method to study the impact of the musical stimulus on brain and implications of such kind of studies.

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Tandle, A. L., Joshi, M. S., Dharmadhikari, A. S., & Jaiswal, S. V. (2018, December 1). Mental state and emotion detection from musically stimulated EEG. Brain Informatics. Springer Berlin Heidelberg. https://doi.org/10.1186/s40708-018-0092-z

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