Oct 22, 2020 · We propose a multimodal deep representation learning approach for emotion recognition from EEG and facial expression signals.
Oct 29, 2020 · Hence, learning joint information between EEG and facial behavior, in addition to complementary information, could improve emotion recognition.
We propose a multimodal deep representation learning approach for emotion recognition from EEG and facial expression signals. The proposed method involves the ...
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Fusion of Facial Expressions and EEG for Multimodal Emotion Recognition
pubmed.ncbi.nlm.nih.gov › ...
This paper proposes two multimodal fusion methods between brain and peripheral signals for emotion recognition.
Apr 25, 2024 · Multimodal Gated Information Fusion for Emotion Recognition from EEG Signals and Facial Behaviors. ICMI 2020: 655-659. [+][–]. 2010 – 2019. FAQ.
Rayatdoost, S., Rudrauf, D., & Soleymani, M. (2020). Multimodal gated information fusion for emotion recognition from EEG signals and facial behaviors.
May 31, 2024 · This paper proposes two multimodal fusion methods between brain and peripheral signals for emotion recognition. The input signals are ...
2 days ago · Multimodal emotion recognition, which combines several modalities including facial expressions, physiological signs, voice, and gestures to ...
Mar 1, 2024 · This paper makes the first effort in comprehensively summarize recent advances in deep learning-based multimodal emotion recognition (DL-MER) involved in audio ...
May 25, 2021 · This paper combines deep neural networks to propose a deep learning-based expression-EEG bimodal fusion emotion recognition method.