A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and Wearability
Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has become an area of substantial research attention in recent years. The present study proposes a method to detect drowsiness in drivers which integrates features of electrocardiography (ECG) and electroencephal...
| Main Authors: | Awais, M., Badruddin, N., Drieberg, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19384 / |
| Published: |
MDPI AG
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028731009&doi=10.3390%2fs17091991&partnerID=40&md5=07f65a3535a0f6455b590c9c8097f5f2 http://eprints.utp.edu.my/19384/ |
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