Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 12; p. 5551
• Main Authors: Doniec, Rafał, Konior, Justyna, Sieciński, Szymon, Piet, Artur, Irshad, Muhammad Tausif, Piaseczna, Natalia, Hasan, Md Abid, Li, Frédéric, Nisar, Muhammad Adeel, Grzegorzek, Marcin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 13.06.2023; MDPI
• Subjects: Accidents, Traffic - prevention & control; Algorithms; Automobile Driving - psychology; Automobiles; Behavior; Classification; convolutional neural networks; Deep learning; driving a car; driving behavior; electrooculography; Eye movements; Fatigue; Internet of Things; Neural networks; Neural Networks, Computer; Safety and security measures; Sensors; Traffic accidents & safety; Poland; Germany; United States > US; convolutional neural networks; driving a car; driving behavior; electrooculography

To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cognitive capabilities in drivers. In our study, we proposed a c...