Essays about: "Driver Sleepiness Detection"
Showing result 1 - 5 of 8 essays containing the words Driver Sleepiness Detection.
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1. Detection of driver sleepiness during daylight and darkness
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE
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2. Video-Based Estimation of Driver Sleepiness Using Machine Learning
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : 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. READ MORE
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3. Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE
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4. Heart rate variability for driver sleepiness assessment
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE
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5. Deep learning to classify driver sleepiness from electrophysiological data
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE