A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and Wearability

• Main Authors: Awais, M., Badruddin, N., Drieberg, M.
• Format: Article
• Published: MDPI AG 2017
• 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/

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...