Machine Learning models for the Cognitive Stress Detection Using Heart Rate Variability Signals
Cognitive domains play a critical role in daily functioning. The prediction of cognitive stress state is important to better monitor work performance. This study aims to explore machine learning models to detect cognitive load or state using heart rate variability (HRV) signals. HRV data were record...
Main Authors: | Nailul Izzah, Auditya Purwandini Sutarto, Mohamad Hariyadi |
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Format: | Article |
Language: | English |
Published: |
Petra Christian University
2022-11-01
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Series: | Jurnal Teknik Industri |
Subjects: | |
Online Access: | https://jurnalindustri.petra.ac.id/index.php/ind/article/view/25054 |
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