Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation

Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation

This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload classification. The proposed solution includes preprocessing of EEG signals...

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Bibliographic Details
Main Author: Mahmoud, Rwan Adil Osman (author)
Other Authors: Shanableh, Tamer (author), Bodala, Indu P. (author), Thakor, Nitish V. (author), Al-Nashash, Hasan (author)
Format: article
Published: 2017
Subjects:
Channel selection
Cognitive workload
Electroencephalogram (EEG)
Stepwise regression
Online Access:http://hdl.handle.net/11073/8896
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http://hdl.handle.net/11073/8896

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