Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device

Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device

In this research, we develop an affective computing method based on machine learning for emotion recognition using a wireless protocol and a wearable electroencephalography (EEG) custom-designed device. The system collects EEG signals using an eight-electrode placement on the scalp; two of these ele...

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Bibliographic Details
Main Authors: Ngoc-Dau Mai, Boon-Giin Lee, Wan-Young Chung
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
electroencephalogram (EEG)
affective computing
emotion recognition
entropy measures
support vector machine (SVM)
multi-layer perceptron (MLP)
Online Access:https://www.mdpi.com/1424-8220/21/15/5135

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