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DrowsinessDriver assistAttention levelDrivers have to keep their attention levels high to prevent accidents, however, it is very hard for them to control their own attention levels. If there were some detection methods that were almost instantaneous for attention levels, warning signals could be ...
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system. In this context, electroencephalogram (EEG) signals are the most important source of data to achieve successful...
A driver's drowsiness detection method of a drowsy driving alarming system comprising the steps of: determining a vertical width of a driver's eye from a driver's face image input from a CCD camera, presetting a standard vertical width and a standard drowsiness factor on the basis of the av...
It is well known that a significant number of highway accidents result from drivers becoming drowsy or falling asleep, which results in many deaths and injuries. Drowsiness is also a problem in other fields, such as for airline pilots and power plant operators, in which great damage may result...
We conducted a experiment that 6 drivers drove a driving simulator to gather their pulse wave and steering data. As the result of learning and analyzing the indexes in neural networks, 98% of the highest ratio was shown in detection of driver's drowsiness. A method of detecting driver's ...
Among many other factors, drowsiness is playing a major role in these accidents and systems which can monitor it are currently being developed. Among them, Electroencephalography (EEG) proved to be very reliable. Indeed, many EEG based drowsiness detection techniques are proposed for drivers. Most...
The detection of drowsiness has been done using principle component analysis based feature extraction and support vector machine (SVM) and k-nearest neighbor (KNN) classifiers [14]. Analysis of power from different rhythms has been used to detect AS and drowsy state (DS) [15]. In [16,17],...
If drivers could be warned before they became too drowsy to drive safely, some drowsiness-related crash... X Wang,C Xu - 《Accident Analysis & Prevention》 被引量: 26发表: 2016年 Driver drowsiness detection based on multisource information Driver drowsiness is one of the major causes of on...
1) drowsiness/fatigue detection 疲劳度检测例句>> 2) fatigue detection 疲劳检测1. Application of fuzzy neural network in driver fatigue detection; 模糊神经网络在驾驶员疲劳检测中的应用2. Application of Multimedia Techniques in Fatigue Detection of Drivers; 多媒体技术在机动车驾驶员疲劳检测中的应用...