The drowsiness affects the driver’s sensory, cognitive, and psychomotor abilities, which are necessary for safe driving. Drowsiness detection is a critical technique to avoid traffic accidents. federated learning (FL) can solve problem of insufficient driver facial data by utilizing different industrial entities’ data. However, in FL system, privacy information drivers might be le...

background : major injuries and death in accidents have roots in drowsiness. sleepiness is a main result of insufficient sleep. it is vital to explore drowsiness and its level. there are various sorts of methods in the forms of subjective and objective approaches. the goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. methods:...

In order to avoid car crashes, active safety systems are becoming more and more important. Many crashes are caused due to driver drowsiness or mobile phone usage. Detecting the drowsiness of the driver is very important for the safety of a car. Monitoring of vital signs such as respiration rate and heart rate is important to determine the occurrence of driver drowsiness. In this paper, robust v...