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

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 15; p. 5135
• Main Authors: Mai, Ngoc-Dau, Lee, Boon-Giin, Chung, Wan-Young
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.07.2021; MDPI
• Subjects: affective computing; Brain research; Datasets; Electrodes; electroencephalogram (EEG); Electroencephalography; emotion recognition; Emotions; entropy measures; Experiments; Humans; Machine Learning; multi-layer perceptron (MLP); Neural Networks, Computer; Physiology; Principal components analysis; Skin; Social networks; Software; Support Vector Machine; support vector machine (SVM); Variance analysis; Wavelet transforms; one-dimensional convolutional neural network (1D-CNN); affective computing; support vector machine (SVM); entropy measures; emotion recognition; multi-layer perceptron (MLP); electroencephalogram (EEG)

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...