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Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.

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第一作者： Junhai,Luo

第一单位： School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610056, China.

作者： Junhai,Luo ^[1] ; Yuxin,Tian ^[1] ; Hang,Yu ^[1] ; Yu,Chen ^[1] ; Man,Wu ^[1]

作者单位： School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610056, China. ^[1]

关键词 DEAP dataset electroencephalogram (EEG)emotion recognition multi-source fusion stacked denoising autoencoder unsupervised representation learning

DOI 10.3390/e24050577

PMID 35626462

发布时间 2022-07-16

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Entropy (Basel, Switzerland)

2022年24卷5期

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Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.

Entropy (Basel, Switzerland)

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Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.

Entropy (Basel, Switzerland)

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Entropy (Basel, Switzerland)

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