The fusion framework of EEG and eye movements using multimodal deep neural networks
Affective Brain-Comouter Interactions
The fusion framework of EEG and eye movements using multimodal deep neural networks
Affective Brain-Comouter Interactions
Publications
Emotionmeter: A multimodal framework for recognizing human emotions
In this paper, we present a multimodal emotion recognition framework called EmotionMeter that combines brain waves and eye movements. …
Identifying stable patterns over time for emotion recognition from EEG
In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for emotion recognition using a machine learning …
Personalizing EEG-based affective models with transfer learning
Individual differences across subjects and nonstationary characteristic of electroencephalography (EEG) limit the generalization of …
Combining eye movements and EEG to enhance emotion recognition
In this paper, we adopt a multimodal emotion recognition framework by combining eye movements and electroencephalography (EEG) to …
Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks
To investigate critical frequency bands and channels, this paper introduces deep belief networks (DBNs) to constructing EEG-based …
EEG-based emotion classification using deep belief networks
In recent years, there are many great successes in using deep architectures for unsupervised feature learning from data, especially for …
