Self-Supervised Learning for ECG-Based Emotion Recognition
Published: May 1, 2020
Abstract
We present an electrocardiogram (ECG) -based emotion recognition system using self-supervised learning. Our proposed architecture consists of two main networks, a signal transformation recognition network and an emotion recognition network. First, unlabelled data are used to successfully train the former network to detect specific pre-determined signal transformations in the self-supervised learning step. Next, the weights of the convolutional...
Paper Details
Title
Self-Supervised Learning for ECG-Based Emotion Recognition
Published Date
May 1, 2020
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