A feasability study of drowsiness detection using driving behaviour parameters

Detection of drowsy driving based on driving information

“…Volvo has developed a system which monitors vehicle's movement and distance between vehicles in real time and detects driver's drowsy behavior. In [2], they collected, analyzed and compared both simulator data and real vehicle data. A drowsy driving pattern was defined and a detection algorithm developed based on data collected from real driving on the road.…”

Vigilance detection method for high‐speed rail using wireless wearable EEG collection technology based on low‐rank matrix decomposition

“…For the first category, an approach has been proposed for detecting drowsiness‐related lane departures, which uses unfiltered steering wheel angle data and a random forest algorithm [16]. In [17], an approach using communication bus signals was developed, which judges a driver's state by analysing the magnitude of wheel's rotational differential. Volvo has developed a system which monitors vehicle's movement and the distance between vehicles in real time and detects driver's drowsy behaviour [18].…”