Prediction of the time when a driver reaches critical drowsiness level based on driver monitoring before and while driving

Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch

“…Although there are people who find it hard to get more sleep and other costs them less, ultimately all of their heart rate converge to decrease rates in order to stabilize at a threshold associated with the dream state. For those cases, where the person fell asleep, such as going to bed or get to watch TV after dinner, it observed as pulsations are reduced as was reconciling the dream, as other studies have reported [1] [19]. It is also noted that the values set with the accelerometer and gyroscope are few swings because the driver tends to correct the direction of the car compared to previous moments.…”

“…Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch HRV has been studied in transitions from wakefulness to states of extreme relaxation, and there has been a decrease in Heart rate in the beginning of the dream [1] [19].…”

Vehicle operation trends near the traffic ‘stop sign’ for drivers with various sleeping hours

“…He proposed the mathematical model SWP (sleep/wake predictor) for detecting driver's drowsiness based on the circadian rhythm, time awake and prior sleep. Furthermore, we focused on the sleeping hours before actual driving day, and suggested the possibility of early predicting the time when the driver reaches the critical drowsiness level by using data before and immediately after to start driving [7]. In this way, many researchers consider that there is a relationship between sleeping hours and subsequent vehicle operations; however, there are few studies that describe the relationship between sleeping hours and subsequent vehicle operation.…”