Apr 20, 2020 · For this, we propose a novel brain-machine collaborative method for FER. Firstly, EEG emotional features are extracted from the EEG signals ...
A novel brain-machine collaborative method for FER that combines EEG emotional features and image visual features extracted from the original facial emotion ...
Afterward, a regressor is trained to map visual features onto cognitive features, thus allowing machines to employ human brain's based features for automated ...
This method has been verified on the Chinese facial affective picture system (CFAPS) and found that the average recognition accuracy of the seven emotions is ...
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Facial emotion recognition based on brain and machine collaborative intelligence ... Comparison of facial emotion recognition based on image visual ...
Jin, “Facial emotion recognition based on brain and machine collaborative intelligence,” in Proc. ... based on brain and machine collaborative intelligence ...
The human brain can effectively perform Facial Expression Recognition (FER) with a few samples by utilizing its cognitive ability. However, unlike the human ...
In this paper, we propose a novel approach for facial expression analysis and recognition. The main contributions of the paper are as follows.
Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods. Author ...
Apr 27, 2023 · In this paper, we propose a model termed semi-supervised regression with adaptive graph learning (SRAGL) for cross-session EEG emotion ...