EEG Signals Based Choice Classification for Neuromarketing Applications-Reference-Cited by-同舟云学术

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EEG Signals Based Choice Classification for Neuromarketing Applications

Published:2021-08-24 Issue: Volume: Page:371-394
ISSN:1868-4394
Container-title:A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems
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Author:

Ali Ahmed,Soomro Toufique A.,Memon Faiza,Khan Muhammad Yousaf Ali,Kumar Pardeep,Keerio Muhammad Usman,Chowdhry Bhawani Shankar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76653-5_20

Reference67 articles.

1. Touchette, B., & Lee, S.-E. (2017). Measuring neural responses to apparel product attractiveness: An application of frontal asymmetry theory. Clothing and Textiles Research Journal, 35(1), 3–15.

2. Vecchiato, G., Toppi, J., Astolfi, L., Fallani, F. D. V., Cincotti, F., Mattia, D., Bez, F., & Babiloni, F. (2011). Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical & Biological Engineering & Computing, 49(5), 579–583.

3. Agarwal, M., & Sivakumar, R. (2019). Cerebro: A wearable solution to detect and track user preferences using brainwaves. In The 5th ACM Workshop on Wearable Systems and Applications (pp. 47–52).

4. Boksem, M. A., & Smidts, A. (2015). Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success. Journal of Marketing Research, 52(4), 482–492.

5. Vecchiato, G., Toppi, J., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Bez, F., & Babiloni, F. (2011). Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical & Biological Engineering & Computing, 49(5), 579–583.

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3. Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities;Cogent Business & Management;2024-04-04

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