Feasibility Study of Drowsiness Detection Using Hybrid Brain-Computer Interface
Article No.: 12, Pages 1 - 4
Abstract
In this study, we developed a hybrid brain--computer interface for drowsiness detection using electroencephalography (EEG) and electrooculography (EOG). Measurement was done with a single-channel EEG amplifier. A simple responsive task performed in a drowsy environment was used to experimentally demonstrate the advantages of the proposed system. Additionally, we performed the first investigation of hybrid EEG/EOG indices for drowsiness detection. Pearson's correlation analysis revealed that hybrid EEG/EOG indices were better correlated with the Karolinska Sleepiness Scale---the standard subjective measure---than were conventional EEG or EOG indices. Our investigation could contribute to both sleep research and the development of realtime drowsiness detection in the near future.
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Published In
July 2016
80 pages
Publisher
Singapore Therapeutic, Assistive & Rehabilitative Technologies (START) Centre
Midview City, Singapore
Publication History
Published: 25 July 2016
Author Tags
Qualifiers
- Tutorial
- Research
- Refereed limited
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i-CREATe '16
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