EEG-based mental workload analysis for multitasking testing and training systems

EEG-based mental workload analysis for multitasking testing and training systems

The mental workload and multitasking capacity of an individual is an important consideration for operator and workplace safety assessment. Developing ways to understand and accurately assess mental workload is therefore essential. In this thesis, we study multitasking mental workload elicited from t...

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Bibliographic Details
Main Author: Lim, Wei Lun
Other Authors: Wang Lipo
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2020
Subjects:
Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:https://hdl.handle.net/10356/137111

Internet

https://hdl.handle.net/10356/137111

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