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Published in 2024 at "eBioMedicine"
DOI: 10.1101/2023.12.15.571864
Abstract: Electroencephalography (EEG) has a long history as a clinical tool to study brain function, and its potential to derive biomarkers for various applications is far from exhausted. Machine learning (ML) can guide future innovation by…
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Keywords:
brain;
peripheral signals;
machine learning;
prediction ... See more keywords
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Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v37.i2.pp976-984
Abstract: This work proposes a system for emotion recognition using four peripheral signals electromyography, galvanic skin response, blood volume pulse, and respiration. Peripheral signals cannot be modified, unlike other expression like voice and facial expression. The…
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Keywords:
peripheral signals;
machine learning;
learning based;
model ... See more keywords