Cross dataset workload classification using encoded wavelet decomposition features

For practical applications, it is desirable for a trained classification system to be independent of task and/or subject. In this study, we show one-way transfer between two independent EEG workload datasets: from a large multitasking dataset with 48 subjects to a second Stroop test dataset with 18...

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Bibliographic Details
Main Authors: Lim, Wei Lun, Sourina, Olga, Wang, Lipo
Other Authors: 2018 International Conference on Cyberworlds (CW)
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/145993
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Institution: Nanyang Technological University
Language: English