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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Indonesian Institute of Science, Universitas Andalas
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44267/1/Physiological%20signals%20as%20predictors%20of%20mental%20workload.pdf http://umpir.ump.edu.my/id/eprint/44267/ https://doi.org/10.25077/josi.v22.n2.p81-98.2023 |
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