Sökning: "Driver Sleepiness Detection"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden Driver Sleepiness Detection.
1. Detection of driver sleepiness during daylight and darkness
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Driving sleepiness is a serious problem worldwide. It is of interest to develop reliable sleepiness detection systems to implement in vehicles, and for such a system both physi-ological data and driver performance data can be used. LÄS MER
2. Video-Based Estimation of Driver Sleepiness Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Approximately 1.35 million people die each year in car accidents and it is the most common cause of death for people aged 5-29. Because of this it is of large interest to be able to detect when a driver enters a sleepy state and to be able to alert the driver. LÄS MER
3. Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Driver sleepiness contributes to a large amount of all road traffic crashes. Developing an objective measurement of driver sleepiness in order to prevent eventual traffic accidents is desirable. LÄS MER
4. Heart rate variability for driver sleepiness assessment
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Studies have reported that around 20 % of all traffic accidents are caused by a sleepy driver. Sleepy driving has been compared to drunk driving. A sleepy driver is also an issue in the case of automated vehicles in the future. Handing back the control of the vehicle to a sleepy driver is a serious risk. LÄS MER
5. Deep learning to classify driver sleepiness from electrophysiological data
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Driver sleepiness is a cause for crashes and it is estimated that 3.9 to 33 % of all crashes might be related to sleepiness at the wheel. It is desirable to get an objective measurement of driver sleepiness for reduced sensitivity to subjective variations. LÄS MER