Calibrating the classifier: siamese neural network architecture for end-to-end arousal recognition from ECG
Affective analysis of physiological signals enables emotion recognition in mobile wearable devices. In this paper, we present a deep learning framework for arousal recognition from ECG (electrocardio- gram) signals. Specifically, we design an end-to-end convolutional and recurrent neural network arc...
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| Format: | Conference item |
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Springer Verlag
2019
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