Results 151 to 160 of about 1,158 (175)
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PERCLOS as an Indicator of Slow-Onset Hypoxia in Aviation
Aerospace Medicine and Human Performance, 2018BACKGROUND: PERCLOS is a metric that has been primarily studied in the domain of driver fatigue to predict performance decrements, but there is comparatively less research applying it to aviation, where hypoxia is a safety concern. Hypoxic exposure was expected to increase blink activity, possibly by means of impairing blink inhibition behavior ...
Jennifer E, Thropp +2 more
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Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Time
2014 5th International Conference on Intelligent Systems, Modelling and Simulation, 2014Drivers not being cautious enough is one of the major reasons for many of today's fatal road accidents. Drivers being fatigued or distracted have been identified as the main two reasons behind drivers losing their attention. PERCLOS and gaze estimation are two visual cue based parameters which can be used to estimate driver drowsiness and distraction ...
Sanka Darshana +4 more
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A PERCLOS-Based Driver Fatigue Recognition Application for Smart Vehicle Space
2010 Third International Symposium on Information Processing, 2010The paper selected PERCLOS to evaluate driving fatigue after the comparison of various fatigue detection methods for smart vehicle space. We detected driver fatigue status by measuring the proportion of eyes closed in a certain period of time and the continued closure time.
Wu Qing +3 more
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AHFE International, 2022
Work fatigue is one of the main causes of accidents. The main purpose of this article is to discuss the mapping relationship between eyelid closure data and human fatigue at work through confirmatory experiments, and the applicability of composite eye movement parameter analysis based on the random forest neural network model for fatigue detection in ...
Ziyu Yao +4 more
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Work fatigue is one of the main causes of accidents. The main purpose of this article is to discuss the mapping relationship between eyelid closure data and human fatigue at work through confirmatory experiments, and the applicability of composite eye movement parameter analysis based on the random forest neural network model for fatigue detection in ...
Ziyu Yao +4 more
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A PERCLOS Method for Fine Characterization of Behaviour Circadian Rhythm
2020Objective To establish a measurement method of the percentage of eyelid closure over the pupil over time (PERCLOS) to finely characterize behaviour circadian rhythm. Methods A computer program was designed based on multitask convolutional neural network for the treatment of videos to get PERCLOS quantitative values.
Yanzhong Gu +5 more
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A Mobile Application for Driver's Drowsiness Monitoring based on PERCLOS Estimation
IEEE Latin America Transactions, 2019Vehicular accidents caused by driver drowsiness involve about 7,000 people/year in Brazil, only on federal highways, and cause psychic damage and traumatic stresses for both the victims involved and their families. Drowsiness is characterized by reduced level of vigilance and concentration, which are essential during driving activity.
Gabriel Soares +2 more
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The Study of Driver Fatigue Monitor Algorithm Combined PERCLOS and AECS
2008 International Conference on Computer Science and Software Engineering, 2008In this paper, combined PERCLOS and AECS, we introduce an algorithm to detect the driver fatigue. The algorithm, based on color image skin color segment, can directly transforms the RGB form image to the gradation image by the skin color segmentation, and then the eyes is detected.
Liying Lang, Haoxiang Qi
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Comprehensive Driver State Recognition Based on Deep Learning and PERCLOS Criterion
2019 IEEE 19th International Conference on Communication Technology (ICCT), 2019This system is mainly used for driver’s mental state identification. It is concerned with deep learning technology. Deep convolutional neural network and face feature point processing method are adopted to analyze the driver’s face information. The system also uses information comprehensive decision-making to analyze, so as to identify the driver’s ...
Hexuan Hu +5 more
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Real-Time Driver Drowsiness Detection System Based on PERCLOS and Grayscale Image Processing
2016 International Symposium on Computer, Consumer and Control (IS3C), 2016This study develops a real-time drowsiness detection system based on grayscale image processing and PERCLOS to determine if the driver is fatigued. The proposed system comprises three parts: first, it calculates the approximate position of the driver's face in grayscale images, and then uses a small template to analyze the eye positions, second, it ...
Jun-Juh Yan +3 more
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Enhancements to PERCLOS Algorithm for Determining Eye Closures
2022 International Conference on Future Trends in Smart Communities (ICFTSC), 2022Muhammad Ammar Zulkarnanie +3 more
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