Spectral analysis of physiological parameters for consumers' emotion detection

Authors

  • Camilo Valderrama Universidad Icesi, Cali
  • Gonzalo Ulloa Villegas Universidad Icesi, Cali

DOI:

https://doi.org/10.18046/syt.v10i20.1148

Keywords:

Electro encephalogram (EEG), Emotions, Signal Processing, Discrete Wavelet Transform (DWT), Brain-Computer Interfaces (BCI), Neural Networks, Support Vector Machine (SVM).

Abstract

This paper show a literature review in the field of emotions detection. Show the strength of aplications of Brain Computer Interfaces (BCI) and what the functionality of it is. Explain how work with neourosignal and how to extract information using Discrete Wavelet Transform to recognize some characteristics that are present in the signal. Also explain the methods which are used for classification the signals. The purpose of the review is established a basis for the development of a project which want define the behavior of brain signal's when a person sees a commercial advertisement.

Author Biographies

  • Camilo Valderrama, Universidad Icesi, Cali
    Biographical statement available in spanish
  • Gonzalo Ulloa Villegas, Universidad Icesi, Cali
    Biographical statement available in spanish

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Published

2012-03-31

Issue

Vol. 10 No. 20 (2012)

Section

Reviews

License

This journal is licensed under the terms of the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).