Emotion recognition in single-channel EEG signals ...

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Emotion recognition in single-channel EEG signals using Stationary Wavelet Transform

1 2 ´ ´ Alejandro Gomez, , Lucia Quintero,1 Natalia Lopez, 3 4 1 Jaime Castro, Luisa F. Villa, Leandro Ariza, and Gustavo Mej´ıa,5 1 Mathematical Modeling Research Group, Universidad EAFIT. Medical Technology Laboratory, GATEME, Universidad Nacional de San Juan. ´ Universitaria Politecnico ´ Education and Culture Research Group, Institucion Grancolombiano. 4 System Engineering Research Group, ARKADIUS, Universidad de Medell´ın. 5 Functional Analysis and Aplications Research Group, Universidad EAFIT. 2

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Outline

Introduction Methodology Theoretical framework Results Conclusions References

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Introduction

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Introduction EEG Single Channel Emotion Recognition with Statistical Features [1] EEG Data 1

Filtering 2

Windowing 3

Feature Extraction 4

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Thresholding

MA

MLP

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Introduction

Emotion Recognition in Audio using Wavelets [2]

H(z)

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G(z)

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D1

X(z) A1

H(z)

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D2

G(z)

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A2

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Introduction

EEG Emotion Recognition using Discrete Wavelet [3] EEG Data 1

Filtering 2

Windowing 3

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Thresholding

MA

MLP

DWT

Feature Extraction

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Methodology

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Methodology

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Fs = 1000Hz

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Electrode Position F3-F4

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Three Emotional States

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Methodology EEG Data

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Methodology EEG Data

Filtering

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Methodology EEG Data

Filtering

Windowing

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Methodology EEG Data

Filtering

Windowing

SWT

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Methodology EEG Data

Filtering

Feature Extraction

Windowing

SWT

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Methodology EEG Data

Classify

Filtering

Feature Extraction

Windowing

SWT

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Theoretical framework

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¿What is a Wavelet? It is a function ψ ∈ L2 (