Autors: Andonov, S. A., Stiliyan Georgiev., Tsenov, G. T., Mladenov, V. M.
Title: Neurophysiological Test with Use of EEG, GSR and Pulse Measurements Data for Focus Group Beverage Preference Aggregation
Keywords: biosignal feedback, electroencephalography, feature extracti

Abstract: The primary objective in this case study is introduction of a testing methodology framework for assessing the effectiveness of different drinks and flavors through neuromarketing. The framework involves use of focus groups for evaluation of the neurophysiological reactions of participants to various stimuli and drawing statistically significant conclusions based on the results. In the last past decade, there has been an increase in the availability of affordable and easy-to-use biosensors that provides the possibility for affordable and easy to use real-time measurements of bio-signals, such as electroencephalography (EEG), galvanic skin response (GSR), and pulse. Also, with the recent ongoing increase of the computational capabilities the signal processing and analysis of the recorded biometric data can also be processed in real-time with relatively affordable and mobile hardware. By analyzing these signals and identifying an informative features that are derived statistically from g

References

    Issue

    2023 International Scientific Conference on Computer Science (COMSCI), vol. 1, issue 1, pp. 1-6, 2023, Bulgaria, Sozopol, ISBN 979-835032525-6, DOI 10.1109/COMSCI59259.2023.10315904 IEEE.

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    Цитирания (Citation/s):
    1. Queiroz, L.P., Nogueira, I.B.R. and Ribeiro, A.M., 2024. “Flavor engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics,” Food Research International, pp. 1-30, ISSN 09639969, DOI 10.1016/j.foodres.2024.115100, vol. 196 (Scopus, Google Scholar) SJR 1.495, IF 7.0 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus