Machine Learning models for the Cognitive Stress Detection Using Heart Rate Variability Signals

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...

Full description

Bibliographic Details
Main Authors: Nailul Izzah, Auditya Purwandini Sutarto, Mohamad Hariyadi
Format: Article
Language:English
Published: Petra Christian University 2022-11-01
Series:Jurnal Teknik Industri
Subjects:
cognitive
human factors
heart rate variability
work performance
machine learning
Online Access:https://jurnalindustri.petra.ac.id/index.php/ind/article/view/25054

Internet

https://jurnalindustri.petra.ac.id/index.php/ind/article/view/25054

Similar Items