Emotion differentiation based on arousal intensity estimation from facial expressions
Emotion recognition still remains a research issue that can be improved significantly. This paper worked on it using facial feature extraction followed by arousal level estimation. We extracted facial features via four Convolutional Neural Networks (CNNs) pre-trained on ImageNet: ResNet152V2, Xcepti...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
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SPRINGER-VERLAG SINGAPORE PTE LTD
2020
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Online Access: | http://eprints.um.edu.my/37034/ https://link.springer.com/chapter/10.1007/978-981-15-1465-4_26 |
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