Physiological signals as predictors of mental workload: Evaluating single classifier and ensemble learning models

Physiological signals as predictors of mental workload: Evaluating single classifier and ensemble learning models

With a growing emphasis on cognitive processing in occupational tasks and the prevalence of wearable sensing devices, understanding and managing mental workload has broad implications for safety, efficiency, and well-being. This study aims to develop machine learning (ML) models for p...

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Bibliographic Details
Main Authors: Nailul, Izzah, Sutarto, Auditya Purwandini, Hendi, Ade, Ainiyah, Maslakhatul, Muhammad Nubli, Abdul Wahab
Format: Article
Language:English
Published: Indonesian Institute of Science, Universitas Andalas 2023
Subjects:
Q Science (General)
QP Physiology
Online Access:https://umpir.ump.edu.my/id/eprint/44267/

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