Abstract
Several technologies to prevent falling asleep at the wheel have been developed. One well-known approach uses imaging sensors to count eye blinks or detect particular fluctuations of the vehicle. Such sensors could be effective at preventing accidents by giving a warning. We developed a technology to detect driver's sleepiness by analyzing heartbeats. We studied a regression model with parameters including heart rate variability to estimate driver's sleepiness .