Results 161 to 170 of about 1,158 (175)

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   +1 more source

Real Time Eye Detection Algorithm for PERCLOS Calculation

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

Fatigue driving detection system based on Perclos algorithm optimization

2022 International Conference on Human Machine Interaction (ICHMI), 2022
Jiachen Liang, Jieyu Ren
openaire   +1 more source

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
openaire   +1 more source

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

IEEE Transactions on Intelligent Transportation Systems, 2022
Guanglong Du, Linlin Zhang, Kang Su, Xueqian Wang, Shaohua Teng, Peter X. Liu   +5 more
openaire   +1 more source

Drowsiness Detection for Safe Driving Using PERCLOS and YOLOv2 Method

2022
Ngo Kah Lock, Weng Mun Ng, Norrabiatul Adawiyah Jusoh, Nazhatul Hafizah Kamarudin, Rizauddin Ramli, Zuliani Zulkoffli   +5 more
openaire   +1 more source

Streamlining Drowsiness Assessment: An In-Depth Review of ORD and PERCLOS Methods

Every year, drowsy and fatigued driving contributes to thousands of crashes and their resulting injuries and fatalities. Naturalistic driving data allows researchers an opportunity to better understand drowsy driving through review of driver-facing video capturing the driver’s behavior and eyes.
Soccolich, Susan A., Hammond, Rebecca, Camden, Matthew C., Walker, Stuart   +3 more
openaire   +1 more source

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

Chinese Journal of Electronics, 2014
Yan Peng, Yan Dong, Du Cheng
openaire   +1 more source

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   +1 more source

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

2023
Ko Taniguchi, Takahiro Noguchi, Satoshi Iizuka, Hiroyasu Ando, Takashi Abe, Kazuhiro Fukui   +5 more
openaire   +1 more source