Recognition of Consumer Preference by Analysis and Classification EEG Signals

Recognition of Consumer Preference by Analysis and Classification EEG Signals

Neuromarketing has gained attention to bridge the gap between conventional marketing studies and electroencephalography (EEG)-based brain-computer interface (BCI) research. It determines what customers actually want through preference prediction. The performance of EEG-based preference detection sys...

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Bibliographic Details
Main Authors: Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Human Neuroscience
Subjects:
deep learning
feature extraction
customer neuroscience
classification
signal processing
neuromarketing
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2020.604639/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2020.604639/full

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