Results 161 to 170 of about 1,740 (178)

Use of head-worn sensors to detect lapses in vigilance through the measurement of PERCLOS and cerebral blood flow velocity

SPIE Proceedings, 2017
The purpose of this study is to determine the ability of an eye-tracker to detect changes in vigilance performance compared to the common method of using cerebral blood flow velocities (CBFV). Sixteen subjects completed this study. Each participant performed a 40-minute vigilance task while wearing an eye-tracker and a transcranial doppler (TCD) on ...
Lindsey K. McIntire, R. Andy McKinley, Chuck Goodyear, John P. McIntire   +3 more
openaire   +2 more sources

A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS

IEEE Transactions on Intelligent Transportation Systems, 2022
Existing visual-based fatigue detection methods usually monitor drivers’ fatigue by capturing their facial features, including eyelid movements, yawn frequency and head pose.
Guanglong Du, Linlin Zhang, Kang Su, Xueqian Wang, Shaohua Teng, Peter X. Liu   +5 more
openaire   +2 more sources

PERCLOS: A Valid Psychophysiological Measure of Alertness As Assessed by Psychomotor Vigilance

, 1998
This Tech Brief summarizes an Intelligent Transportation System (ITS) study titled Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and as the Basis for Alertness Management. The study was funded in part by FHWA’s Office of Motor Carriers and managed by the National Highway Traffic Safety Administration (NHTSA). The project’s goal
D. Dinges, R. Grace
openaire   +2 more sources

The Effect of Simulated High-Speed Driving on the Drivers’ Muscle Tension, PERCLOS (Percentage of Eyelid Closure), Saccade Duration, and Subjective Fatigue

Journal of the Ergonomics Society of Korea, 2023
Ju-Eun Shin, Jung-Yong Kim
openaire   +2 more sources

A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation

MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023
Ko Taniguchi, Takahiro Noguchi, Satoshi Iizuka, Hiroyasu Ando, Takashi Abe, Kazuhiro Fukui   +5 more
openaire   +2 more sources

Evaluating PERCLOS for drowsiness detection using novel artificial neural network over support vector machine

AIP Conference Proceedings
Kongara Bhargav Naidu, K. Sashi Rekha
openaire   +2 more sources

Design and Implementation of a Driver's Eye State Recognition Algorithm Based on PERCLOS

Chinese Journal of Electronics, 2014
In order to improve the general detection accuracy of eye state, this paper puts forward an innova- tive method for judging human eye state based on PERC- LOS.
Yan Peng, Yan Dong, Du Cheng
openaire   +2 more sources

PERCLOS+:Moving Beyond Single-Metric Drowsiness Monitors

SAE Technical Paper Series, 2008
<div class="htmlview paragraph">Assessing driver drowsiness and providing timely alerts is the basis for drowsy driver monitoring systems. Though technologies are available that claim to reliably provide this function, they tend to be single-metric systems that may not be sufficiently robust for real-world operation.
Richard J. Hanowski, Darrell Bowman, Andrew Alden, Walter W. Wierwille, Robert Carroll   +4 more
openaire   +1 more source

Implementation of Convolutional Neural Network with PERCLOS and Eye Aspect Ratio Methods for Early Detection of Computer Vision Syndrome

2025 5th International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)
The advent of digital technology has precipitated a fundamental shift in the manner by which humans interact with electronic devices. The extensive use of computers, tablets, and smartphones for an average of 8-10 hours a day has the potential to cause ...
Aditya Nugraha, Faqih Hamami, Ahmad Musnansyah   +2 more
semanticscholar   +1 more source

Real Time Eye Detection Algorithm for PERCLOS Calculation

2020
WOS ...
Acioglu, Ali, Ercelebi, Ergun
openaire   +1 more source