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CognEmoSense: A Continual Learning and Context-Aware EEG Emotion Recognition System Using Transformer-Augmented Brain-State Modeling

2025-05-02

Abstract excerpt

The real-time decoding of emotional states from neural signals has emerged as a critical frontier in affective computing and human-computer interaction. Electroencephalography (EEG), due to its high temporal resolution and non-invasive nature, remains a preferred modality for emotion recognition systems. However, existing models often suffer from poor generalization, high inter-subject variability, and inability t...

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Literature Corpus work
2d91bac0-d383-586c-b936-f70471135c7e
DOI
10.20944/preprints202505.0072.v1
Open publication

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CognEmoSense: A Continual Learning and Context-Aware EEG Emotion Recognition System Using Transformer-Augmented Brain-State ModelingDOI 10.20944/preprints202505.0072.v1
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