Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition
Automatic emotion recognition based on EEG is an important issue in Brain-Computer Interface (BCI) applications. In this paper, baseline signals were taken into account to improve recognition accuracy. Multi-Layer Perceptron (MLP), Decision Tree (DT) and our proposed approach were adopted to verify...
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Published in | Neural Information Processing Vol. 11307; pp. 433 - 443 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2018
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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