Unsupervised Drowsy Driving Detection With RFID

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 8; pp. 8151 - 8163
• Main Authors: Yang, Chao, Wang, Xuyu, Mao, Shiwen
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Alarm systems; channel state information (CSI); deep learning; Driver fatigue; drowsy driving detection; Electroencephalography; Fatigue; Feature extraction; Frequency hopping; Radio frequency identification; Radio-frequency identification (RFID); RFID tags; Traffic accidents; Traffic safety; unsupervised learning; Vehicle safety; Vehicles

With the increasing number of vehicles and traffic accidents, driving safety has become an important factor that affects human daily life. As the primary cause of driving accidents, driving fatigue could be prevented by a sensing and alarm system built in the vehicle. In this paper, we propose an ef...