[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Dababneh et al., 2015 - Google Patents

Driver vigilance level detection systems: A literature survey

Dababneh et al., 2015

Document ID
4305073461922398691
Author
Dababneh L
El-Gindy M
Publication year
Publication venue
International journal of vehicle performance

External Links

Snippet

Several studies have shown that alertness loss during driving is considered as one of the major causes of vehicle accidents around the world. As a result, work has been done to develop detection systems that are capable of monitoring the vigilance levels of drivers as …
Continue reading at www.inderscienceonline.com (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
    • A61B5/18—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand

Similar Documents

Publication Publication Date Title
US11383721B2 (en) System and method for responding to driver state
Dong et al. Driver inattention monitoring system for intelligent vehicles: A review
EP3158392B1 (en) System and method for responding to driver state
Karuppusamy et al. Multimodal system to detect driver fatigue using EEG, gyroscope, and image processing
US11447140B2 (en) Cognitive tunneling mitigation device for driving
Hachisuka Human and vehicle-driver drowsiness detection by facial expression
Perkins et al. Challenges of driver drowsiness prediction: The remaining steps to implementation
Macalisang et al. Drive-Awake: A YOLOv3 Machine Vision Inference Approach of Eyes Closure for Drowsy Driving Detection
Dababneh et al. Driver vigilance level detection systems: A literature survey
Mashko Review of approaches to the problem of driver fatigue and drowsiness
Ping et al. Driver Drowsiness Detection System Using Hybrid Features Among Malaysian Drivers: A Concept
Ansari et al. Factors influencing driver behavior and advances in monitoring methods
Murad et al. Computing driver tiredness and fatigue in automobile via eye tracking and body movements
Dababneh Development and validation of a driver distraction alert system for highway driving using a truck driving simulator
Culp et al. Driver alertness monitoring techniques: a literature review
Yi et al. A Survey of Driver Behavior Perception Methods for Human-Computer Hybrid Enhancement of Intelligent Driving
Drivers Driver Drowsiness Detection System Using Hybrid Features Among Malaysian Drivers: A Concept
Culp Non-Intrusive Driver Drowsiness Monitoring Via Artificial Neural Networks
van Gent et al. Towards real-time, nonintrusive estimation of driver workload in a simulated environment
Haque et al. Driver-vehicle interfacial dynamics: a robust cue for driver fatigue
Antapurkar et al. A Study on Driver Sleepiness Alert System
Liza A Steering Wheel Mounted Grip Sensor: Design, Development and Evaluation
Alomari Human-centric detection and mitigation approach for various levels of cell phone-based driver distractions
Haque Detection of a driver's eye blinks and brain wave in different scenarios by EEG to measure drowsiness
Abas Non-intrusive driver drowsiness detection system.