Autors: Tsenov, G. T., Stilyan Georgiev., Stanimir Andonov., Mladenov, V. M.
Title: Electroencephalography for TV advertisement decomposition
Keywords: electroencephalography, signal processing, statistics, bio s

Abstract: With the introduction of mobile devices with easy to access high processing power, in the late years is possible to perform analysis of bio signals in real time at any place. Such is the case for electroencephalographic signals (EEG) that can be measured from the human skull. With EEG data, we can have a representation of some aspects of the human brain activity. Lately there is the possibility to measure EEG data with wireless and easy to operate EEG headsets that provides opportunities for fast and mass measurements. With detection of certain 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 for recognition of the degree of attention that is applicable for evaluation of media content from variety of recipients and we present the informative features that we use, calculated from EEG measurements.

References

    Issue

    E + E, vol. 55, pp. 41-48, 2020, Bulgaria, Electrotechnica & Electronica (Е+Е), ISSN 0861-4717

    Цитирания (Citation/s):
    1. Andonov, S., Georgiev, S., Tsenov, G. and Hristov, I., 2024, June. “Neuromarketing Research for the Selection of Optimal TV or Digital Media Broadcasting Advertisement Clips,” In International Scientific Conference Management and Engineering (pp. 331-340). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-90131-7_38, Print ISBN 978-3-031-90130-0 (Scopus, Google Scholar) Q3, SJR 0.13. - 2024 - в издания, индексирани в Scopus
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    Вид: статия в списание, индексирана в Google Scholar