One size does not fit all: a support vector machine exploration of multiclass cognitive state classifications using physiological measures
IntroductionThis study aims to develop and evaluate support vector machines (SVMs) learning models for predicting cognitive workload (CWL) based on physiological data. The objectives include creating robust binary classifiers, expanding these to multiclass models for nuanced CWL prediction, and expl...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Neuroergonomics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1566431/full |
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