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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| 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
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| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/8896 |
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