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Showing 1 to 7 of 7 for “"Drowsiness detection"”.
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SINGLE-CHANNEL REAL-TIME DROWSINESS DETECTION BASED ON ELECTROENCEPHALOGRAPHY
<p>Drowsiness is considered as a major risk factor in workplace injuries and fatalities as much as alcohol. Drowsiness-related accidents tend to be catastrophic. The need of a reliable drowsiness detection system is arising today, as drowsiness is considered as a major cause for many accidents in …
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Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection
<p>Driver drowsiness has been a significant hazard resulting in various traffic accidents. Therefore, monitoring this condition is crucial not only in alerting drivers, but also in avoiding fatal accidents. Many research studies propose new systems to reduce the number of drowsiness-related …
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Simulator test and evaluation of a drowsy driver detection system and revisions to drowsiness detection algorithms
… test and evaluate a complete drowsy driver detection system. The goal of the study was to recommend optimal specifications for a system to be further studied in an actual vehicle. The system used a set of algorithms developed from previously collected data and a set of previously optimized …
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Simulator study of the effects of cruise control, secondary task, and velocity-related measures on driver drowsiness and drowsiness detection
This study was conducted in an attempt to improve drowsiness detection in automobiles by examining velocity-related measures. These measures were also included in multiple regression-generated drowsiness detection algorithms to determine their contribution to detection accuracy. In addition, the …
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Correlation analysis between the EEG parameters and the parameters derived from ECG and Steering wheel related signals for driver drowsiness detection
… related parameters have been investigated for drowsiness detection in previous researches. EEG has been deemed as a reliable way to detect drowsiness; while the accuracy of using ECG or steering wheel related parameters for drowsiness detection is not as high as that of EEG’s but they have the …
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Algorithms refinement and threshold determination for a drowsy driver detection system
… development and validation of algorithms for the detection of driver drowsiness. Specifically, the goal of the research has been to develop the best possible drowsiness-detection algorithms using measures that can be computed while a vehicle is in motion with minimal interference with the driver. …
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The development and validation of algorithms for the detection of driver drowsiness
… could be used for the prediction of on-the-road drowsiness. Numerous driver-vehicle performance measures and secondary task performance measures were collected so that the predictability of several definitional measures of drowsiness could be tested. Twelve volunteer subjects were employed in the …