George K. Matsopoulos

Electrical and Computing Engineering, Institute of Communication and Computer Systems, Athens, Greece, 157 80 (e-mail:

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EEG fingerprints of task-independent mental workload discrimination
In the nascent field of neuroergonomics, mental workload assessment is one of the most important issues and has an apparent significance in real-world applications. Although prior research has achieved efficient single-task classification, scatted studies on cross-task mental workload assessment usually result in unsatisfactory performance. Here, we introduce a data-driven analysis framework to overcome the challenges regarding task-independent workload assessment using a fusion of EEG spectral characteristics and unveil the common neural mechanisms underlying mental workload... Read more