Autors: Georgiev, S., Andonov, S., Tsenov, G. T., Mladenov, V. M.
Title: Biosignal measurements for Neurophysiological tests aimed to determine new beverage responses
Keywords: biosignal feedback , electroencephalography , feature extrac

Abstract: The main aim of this work is to present a test methodology framework for neuromarketing evaluation of drinks and tastes by obtaining statistically significant conclusions from test focus groups neurophysical reaction. In the past decade there was high rise of affordable and easy to use sensors for biosignal measurements, that provide data in real time at any place. This is the case for electroencephalographic signals (EEG) that can be measured from the human skull and galvanic skin response (GSR) and pulse, that can be measured from a finger. The human brain activity and neurophysiological reaction to external stimuli can be measured and represented to some extent with EEG, GSR and pulse. With feature extraction from the raw signals and detection of informative features that are user independent, we can perform simple classifications process and apply the measured brainwaves in variety of applications. In this paper we present the application of EEG brainwaves, paired with GSR and pul



    International Conference Automatics and Informatics (ICAI), pp. 324-329, 2022, Bulgaria, IEEE, doi: 10.1109/ICAI55857.2022.9960022

    Цитирания (Citation/s):
    1. Pérez, M.Q., Beltrán, E.T.M., Bernal, S.L., Prat, E.H., Del Campo, L.M., Maimó, L.F. and Celdrán, A.H., 2024. Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges. Information Fusion, pp. 1-25, vol. 105, ISSN: 1566-2535,, (Scopus, Google Scholar) IF 18.6 - 2024 - в издания, индексирани в Scopus или Web of Science

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