Electroencephalography based Like/Dislike Classification Using Brain Network Features for Applications in Neuromarketing-Reference-Cited by-同舟云学术

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Electroencephalography based Like/Dislike Classification Using Brain Network Features for Applications in Neuromarketing

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)
language:
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Author:

Xiao Keyang¹,Lin Mengsi¹,Zeng Li²,Zhou Hui¹

Affiliation:

1. School of Automation, Nanjing University of Science and Technology,Nanjing,China

2. School of Business, College of Environment, Hohai University,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970567/9970555/09970678.pdf?arnumber=9970678

Reference23 articles.

1. Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences

2. Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

3. Frontal Brain Asymmetry and Willingness to Pay

4. Evaluation of different measures of functional connectivity using a neural mass model

5. The Functional Brain Connectivity Workshop: report and commentary

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1. A review on the use of eeg for the investigation of the factors that affect Consumer’s behavior;Physiology & Behavior;2024-05

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