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Driver Fatigue Detection System Based on Colored and Infrared Eye Features Fusion 被引量:1
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作者 Yuyang Sun Peizhou Yan +2 位作者 Zhengzheng Li Jiancheng Zou Don Hong 《Computers, Materials & Continua》 SCIE EI 2020年第6期1563-1574,共12页
Real-time detection of driver fatigue status is of great significance for road traffic safety.In this paper,a proposed novel driver fatigue detection method is able to detect the driver’s fatigue status around the cl... Real-time detection of driver fatigue status is of great significance for road traffic safety.In this paper,a proposed novel driver fatigue detection method is able to detect the driver’s fatigue status around the clock.The driver’s face images were captured by a camera with a colored lens and an infrared lens mounted above the dashboard.The landmarks of the driver’s face were labeled and the eye-area was segmented.By calculating the aspect ratios of the eyes,the duration of eye closure,frequency of blinks and PERCLOS of both colored and infrared,fatigue can be detected.Based on the change of light intensity detected by a photosensitive device,the weight matrix of the colored features and the infrared features was adjusted adaptively to reduce the impact of lighting on fatigue detection.Video samples of the driver’s face were recorded in the test vehicle.After training the classification model,the results showed that our method has high accuracy on driver fatigue detection in both daytime and nighttime. 展开更多
关键词 driver fatigue detection feature fusion colored and infrared eye features
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Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior
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作者 Junya Tanehashi Szuchi Chang +4 位作者 Takahiro Hirosei Masaki Izawa Aman Goyal Ayumi Takahashi Kazuhito Misaji 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第6期2287-2306,共20页
This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode,considering the vehicle’s inertial behavior.The comfort of riding in an automobile has b... This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode,considering the vehicle’s inertial behavior.The comfort of riding in an automobile has been evaluated in recent years on the basis of a subjective sensory evaluation given by the driver.However,reflecting driving sensations in design work to improve ride comfort is abstract in nature and difficult to express theoretically.Therefore,we evaluated the human body’s effects while driving scientifically by quantifying the driver’s behavior while operating the steering wheel and the behavior of the automobile while in motion using physical quantities.To this end,we collected driver and vehicle data using amotion capture system and vehicle CAN and IMU sensors.We also constructed a three-dimensional musculoskeletal mathematical model to simulate driver movements and calculate the power and amount of energy per unit of time used for driving the joints and muscles of the human body.Here,we used comfort mode and sport mode to compare damper characteristics in terms of hardness.In comfort mode,damper characteristics are soft and steering stability is mild,but vibration from the road is not easily transmitted to the driver making for a lighter load on the driver.In sport mode,on the other hand,damper characteristics are hard and steering stability is comparatively better.Still,vibration from the road is easily transmitted to the driver,whichmakes it easy for a load to be placed on the driver.As a result of this comparison,it was found that a load was most likely to be applied to the driver’s neck.This result in relation to the neck joint can therefore be treated as an objective measure for quantifying ride comfort. 展开更多
关键词 Human engineering BIOMECHANICS driver’s sense of fatigue double lane change musculoskeletal mathematical model
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AdaBoost人脸检测算法在驾驶员疲劳检测系统中的实现 被引量:3
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作者 杨凌曦 徐建闽 《交通与计算机》 2008年第4期140-143,共4页
基于AdaBoost算法训练了分类器,并编程实现了一个人脸检测系统,将其应用于驾驶员疲劳检测系统中,对人脸区域进行检测和跟踪。为了提高系统的鲁棒性和检测的速度与精度,依次应用曝光补偿,积分图等方法,使得系统具有较高的高检测精度和较... 基于AdaBoost算法训练了分类器,并编程实现了一个人脸检测系统,将其应用于驾驶员疲劳检测系统中,对人脸区域进行检测和跟踪。为了提高系统的鲁棒性和检测的速度与精度,依次应用曝光补偿,积分图等方法,使得系统具有较高的高检测精度和较短的检测时间,可以适应驾驶员疲劳检测的需要。 展开更多
关键词 人脸检测 模式识别 ADABOOST算法 HAAR like 疲劳驾驶
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