Results 241 to 250 of about 31,323 (271)
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2021
Driver’s drowsiness is considered as a major reason behind accidents on road, around the globe. Driving nonstop for a long period of time will cause accidents. The consequences of drowsy state are the same as alcohol, and it will create a driver’s driving inputs poorer, destroy the driver’s reaction times, and blur driver’s thought processes.
V. T. Sai Sandeep Raju, Meena Belwal
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Driver’s drowsiness is considered as a major reason behind accidents on road, around the globe. Driving nonstop for a long period of time will cause accidents. The consequences of drowsy state are the same as alcohol, and it will create a driver’s driving inputs poorer, destroy the driver’s reaction times, and blur driver’s thought processes.
V. T. Sai Sandeep Raju, Meena Belwal
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Morphological drowsy detection
2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2011Drowsiness detection is vital in preventing accidents. Eye state analysis — Detecting whether the eye is open or closed — is critical step for drowsiness detection. In this article we proposed an innovative algorithm for detecting eyes in drowsiness detection which is based on morphology.
Mehrdad Tanha, Hossein Seifoory
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Drowsiness Detection with OpenCV
2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021Dozing off while driving is one of the major causes of the road accident. It can't be completely avoided but can be prevented with this model. Drowsiness detection is a technology that is used to prevent riders from falling asleep during driving. This technology brings protection to riders and co-passengers.
Sanjay S +3 more
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TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019
The amelioration of technology from the past 50 years accommodated a good amount of succour to the driver by providing a great level of comfort and safety in the vehicles. The accidents may occur because of many reasons and one of the reason which we are going to portray and solve in this paper is driver fatigue.
Challa Yashwanth, Jyoti Singh Kirar
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The amelioration of technology from the past 50 years accommodated a good amount of succour to the driver by providing a great level of comfort and safety in the vehicles. The accidents may occur because of many reasons and one of the reason which we are going to portray and solve in this paper is driver fatigue.
Challa Yashwanth, Jyoti Singh Kirar
openaire +1 more source
Efficient driver drowsiness detection at moderate levels of drowsiness
Accident Analysis & Prevention, 2013Previous research on driver drowsiness detection has focused primarily on lane deviation metrics and high levels of fatigue. The present research sought to develop a method for detecting driver drowsiness at more moderate levels of fatigue, well before accident risk is imminent. Eighty-seven different driver drowsiness detection metrics proposed in the
Pia M, Forsman +4 more
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2017
In this chapter we propose a method to assess driver drowsiness based on face and eye-status analysis. The chapter starts with a detailed discussion on effective ways to create a strong classifier (the “training phase”), and it continues with a novel optimization method for the “application phase” of the classifier.
Mahdi Rezaei, Reinhard Klette
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In this chapter we propose a method to assess driver drowsiness based on face and eye-status analysis. The chapter starts with a detailed discussion on effective ways to create a strong classifier (the “training phase”), and it continues with a novel optimization method for the “application phase” of the classifier.
Mahdi Rezaei, Reinhard Klette
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Drowsiness Detection Using ESP32CAM
2023 3rd Asian Conference on Innovation in Technology (ASIANCON), 2023Kartikay Chiranjeev Gupta +2 more
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Drowsiness Detection for Drivers
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), 2021Janhavi Baikerikar +5 more
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