Feature selection of EEG signals in neuromarketing

Feature selection of EEG signals in neuromarketing

Brain–computer interface (BCI) technology uses electrophysiological (EEG) signals to detect user intent. Research on BCI has seen rapid advancement, with researchers proposing and implementing several signal processing and machine learning approaches for use in different contexts. BCI technology is...

Full description

Bibliographic Details
Main Author:	Abeer Al-Nafjan
Format:	Article
Language:	English
Published:	PeerJ Inc. 2022-04-01
Series:	PeerJ Computer Science
Subjects:	Neuromarketing Brain computer interface (BCI) Electroencephalogram (EEG) Deep neural network (DNN) Consumer preferences
Online Access:	https://peerj.com/articles/cs-944.pdf

Similar Items

Deep Learning for EEG-Based Preference Classification in Neuromarketing
by: Mashael Aldayel, et al.
Published: (2020-02-01)

DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
by: Adam Hakim, et al.
Published: (2023-06-01)

A Survey of EEG and Machine Learning-Based Methods for Neural Rehabilitation
by: Jaiteg Singh, et al.
Published: (2023-01-01)

Lightweight Building of an Electroencephalogram-Based Emotion Detection System
by: Abeer Al-Nafjan, et al.
Published: (2020-10-01)

Continuous EEG Decoding of Pilots’ Mental States Using Multiple Feature Block-Based Convolutional Neural Network
by: Dae-Hyeok Lee, et al.
Published: (2020-01-01)

Current Trends in the Application of EEG in Neuromarketing: A Bibliometric Analysis
by: Ahmed Alsharif, et al.
Published: (2022-08-01)

BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework
by: Fazla Rabbi Mashrur, et al.
Published: (2022-05-01)

An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications
by: Syed Mohsin Ali Shah, et al.
Published: (2022-12-01)

Three-Class EEG-Based Motor Imagery Classification Using Phase-Space Reconstruction Technique
by: Ridha Djemal, et al.
Published: (2016-08-01)

Detection of Driver Braking Intention Using EEG Signals During Simulated Driving
by: Trung-Hau Nguyen, et al.
Published: (2019-06-01)

Neuromarketing - An Opportunity or a Threat? Neuromarketing - An Opportunity or a Threat?
by: Margareta Nadanyiova
Published: (2017-12-01)

Decoding Coordinated Directions of Bimanual Movements From EEG Signals
by: Mingming Zhang, et al.
Published: (2023-01-01)

Convolutional Neural Network with a Topographic Representation Module for EEG-Based Brain—Computer Interfaces
by: Xinbin Liang, et al.
Published: (2023-02-01)

Modeling EEG Signals for Mental Confusion Using DNN and LSTM With Custom Attention Layer
by: Raghavendra Ganiga, et al.
Published: (2023-01-01)

Developing an EEG based On-line Closed-loop Lapse Detection and Mitigation System
by: Yu-Te eWang, et al.
Published: (2014-10-01)

Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition
by: Peiyin Chen, et al.
Published: (2022-01-01)

Editorial: Translational brain-computer interfaces: From research labs to the market and back
by: Davide Valeriani, et al.
Published: (2023-02-01)

Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals
by: Sung-Jin Kim, et al.
Published: (2022-01-01)

Motor Imagery EEG Classification Using Capsule Networks
by: Kwon-Woo Ha, et al.
Published: (2019-06-01)

Automatic Emotion Recognition From Multi-Band EEG Data Based on a Deep Learning Scheme With Effective Channel Attention
by: Oishy Saha, et al.
Published: (2023-01-01)

An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System
by: Qiyun Huang, et al.
Published: (2019-11-01)

Methods and techniques of neuromarketing research
by: Lukić Darko
Published: (2021-01-01)

Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets
by: Jordan Ortega‐Rodríguez, et al.
Published: (2023-05-01)

A Novel P300 Classification Algorithm Based on a Principal Component Analysis-Convolutional Neural Network
by: Feng Li, et al.
Published: (2020-02-01)

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning
by: Xiyuan Jiang, et al.
Published: (2021-01-01)

The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning
by: Man Li, et al.
Published: (2021-02-01)

EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review
by: Aurora Saibene, et al.
Published: (2023-03-01)

Deep learning approach for motor imagery EEG signal classification
by: Faezeh Moghadas, et al.
Published: (2022-12-01)

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
by: Mamunur Rashid, et al.
Published: (2020-06-01)

Densely Feature Fusion Based on Convolutional Neural Networks for Motor Imagery EEG Classification
by: Donglin Li, et al.
Published: (2019-01-01)

Limiting Aspects of Neuromarketing Research
by: Milica Slijepčević, et al.
Published: (2019-05-01)

EEG-based emergency braking intention detection during simulated driving
by: Xinbin Liang, et al.
Published: (2023-07-01)

An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal
by: M. M. Rahman, et al.
Published: (2017-12-01)

A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control
by: Natasha Padfield, et al.
Published: (2022-08-01)

Best Feature Extraction and Classification Algorithms For EEG Signals In Neuromarketing
by: Jafar Zamani, et al.
Published: (2020-09-01)

Technological advancements and opportunities in Neuromarketing: a systematic review
by: Ferdousi Sabera Rawnaque, et al.
Published: (2020-09-01)

A Pre-Gelled EEG Electrode and Its Application in SSVEP-Based BCI
by: Weihua Pei, et al.
Published: (2022-01-01)

An enhanced EEG prediction system for motor cortex-imagery tasks using SVM
by: Abenna Said, et al.
Published: (2022-01-01)

Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
by: Neha Sharma, et al.
Published: (2023-01-01)

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application
by: Mostafa Orban, et al.
Published: (2022-12-01)