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Article

Multimodal Fusion of EEG and Physiological Signals for Robust Emotion Recognition via Machine Learning

2026-02-26

Abstract excerpt

<title>Abstract</title> <p>Emotion recognition based on physiological activity has become a vital component of affective computing and human–machine interaction. Electroencephalography (EEG) offers direct neural insight into emotional processing but suffers from noise sensitivity, motion artifacts, and high inter-subject variability. Peripheral physiological signals such as electrocardiography (ECG), galvanic ski...

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Literature Corpus work
963a512b-4d81-5bb1-b72f-6822680caac6
DOI
10.21203/rs.3.rs-8966083/v1
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Multimodal Fusion of EEG and Physiological Signals for Robust Emotion Recognition via Machine LearningDOI 10.21203/rs.3.rs-8966083/v1
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