Mental workload classification in n-back tasks based on single trial EEG

Mental workload classification in n-back tasks based on single trial EEG

Mental workload estimation has been under extensive investigation over the years, because the capability of monitoring the cognitive workload enables the prevention of cognitive overloading and improvement of workplace safety. Electroencephalogram (EEG) signals has been found to be an objective and...

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Bibliographic Details
Main Authors: Dai, Zhongxiang, Bezerianos, Anastasios, Chen, Annabel Shen-Hsing, Sun, Yu
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2018
Subjects:
DRNTU::Social sciences::Psychology
Electroencephalogram
Single-trial
Online Access:https://hdl.handle.net/10356/89658
http://hdl.handle.net/10220/46720
http://yqyb.etmchina.com/yqyb/ch/reader/view_abstract.aspx?file_no=J1601227&flag=1
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/89658
http://hdl.handle.net/10220/46720
http://yqyb.etmchina.com/yqyb/ch/reader/view_abstract.aspx?file_no=J1601227&flag=1

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