TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

7 Apr 2021 Yi Ding Neethu Robinson Qiuhao Zeng Cuntai Guan

In this paper, we propose TSception, a multi-scale convolutional neural network, to learn temporal dynamics and spatial asymmetry from affective electroencephalogram (EEG). TSception consists of dynamic temporal, asymmetric spatial, and high-level fusion Layers, which learn discriminative representations in the time and channel dimensions simultaneously... (read more)

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