Efficient driver drowsiness detection at moderate levels of drowsiness

It’s Out of Our Hands Now! Effects of Non-Driving Related Tasks During Highly Automated Driving on Drivers’ Fatigue

“…In manual driving, driver drowsiness detection mostly referred to driving-performance parameters (Forsman et al, 2013). As in CAD guidance is executed by the system, non-invasive drowsiness detection methods have to be investigated.…”

Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning

“…Methods based on behavior performance, for example in the driving conditions, usually assess the estimators such as vehicle speed, acceleration, steering, braking and gear changes (Dawson et al, 2014;Forsman et al, 2013). The main drawback of these methods is that the individual difference of the vehicle and its driver always exist.…”

“…The ability of a person to maintain alert and make decisions quickly decreases considerably during the drowsiness stage (Garcés Correa, Orosco, & Laciar, 2014). Fatigue driving under drowsy even sleepy state is an important determinant of traffic accidents (Azim, Jaffar, & Mirza, 2014;Cyganek & Gruszczyń ski, 2014;Forsman, Vila, Short, Mott, & Van Dongen, 2013;Hashemi, Saba, & Resalat, 2014;Hu & Zheng, 2009;Jagannath & Balasubramanian, 2014;Jo, Lee, Park, Kim, & Ki, 2014;Li & Chung, 2014). In addition to vehicular safety concern, drowsiness and fatigue are very important issues for workers and employees in the fields of industrial manufactories (Tucker, Folkard, & Macdonald, 2003), power plants (Baker et al, 1994), navigation, aviation (Borghini, Astolfi, Vecchiato, Mattia, & Babiloni, 2014) and medical service.…”

Sleep-related vehicle crashes on low speed roads

“…18 Horne and Reyner 1996), variability in lane positioning (e.g. Anund et al 2008;Forsman et al, 2013) 19 and variability in speed control (e.g. Matthews et al 2012).…”