Detecting Driver Sleepiness Using Consumer Wearable Devices in Manual and Partial Automated Real-Road Driving
Driver sleepiness constitutes a well-known traffic safety risk. With the introduction of automated driving systems, the chance of getting sleepy and even falling asleep at wheel could increase further. Conventional sleepiness detection methods based on
Authors : Lu, K., Karlsson, J., Dahlman, A. S., Sjöqvist, B. A., & Candefjord, S.
Year : 2022
Published in : IEEE Transactions on Intelligent Transportation Systems