Results 31 to 40 of about 56,380 (293)

Tractor cabin ergonomics analyses by means of Kinect motion capture technology [PDF]

open access: yes, 2015
Kinect is the de facto standard for real-time depth sensing and motion capture cameras. The sensor is here proposed for exploiting body tracking during driving operations. The motion capture system was developed taking advantage of the Microsoft software
Boscaro, Davide   +8 more
core   +1 more source

Driver Sleepiness Detection Algorithm Based on Relevance Vector Machine

open access: yesThe Baltic Journal of Road and Bridge Engineering, 2021
Driver sleepiness is one of the most important causes of traffic accidents. Efficient and stable algorithms are crucial for distinguishing nonfatigue from fatigue state.
Lingxiang Wei   +3 more
doaj   +1 more source

DROWSINESS DETECTION AND MONITORING SYSTEM [PDF]

open access: yesITM Web of Conferences, 2020
Wakefulness of a driver is an extremely important factor that needs to be continuously monitored.. A drowsy driver can be a cause of several mishaps and accidents on highways which could lead to loss of money, physical injuries, and the most important ...
Ghole Uzair   +4 more
doaj   +1 more source

A novel Big Data analytics and intelligent technique to predict driver's intent [PDF]

open access: yes, 2018
Modern age offers a great potential for automatically predicting the driver's intent through the increasing miniaturization of computing technologies, rapid advancements in communication technologies and continuous connectivity of heterogeneous smart ...
Abtahi   +76 more
core   +2 more sources

Modelling and Detection of Driver’s Fatigue using Ontology

open access: yesProceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2021
Road accidents have become the eight leading cause of death all over the world. Lots of these accidents are due to a driver's inattention or lack of focus, due to fatigue. Various factors cause driver's fatigue. This paper considers all the measureable data that manifest driver's fatigue, namely those manifested in the vehicle measureable data while ...
Lambert, Alexandre   +4 more
openaire   +2 more sources

Train driver fatigue detection based on facial multi-information fusion

open access: yesJournal of Measurement Science and Instrumentation, 2023
In order to improve the accuracy of train driver fatigue detection, a method of train driver fatigue detection based on facial multi-information fusion is proposed.
HAO Zhengqing   +3 more
doaj  

Noise Robustness Analysis of Performance for EEG-Based Driver Fatigue Detection Using Different Entropy Feature Sets

open access: yesEntropy, 2017
Driver fatigue is an important factor in traffic accidents, and the development of a detection system for driver fatigue is of great significance. To estimate and prevent driver fatigue, various classifiers based on electroencephalogram (EEG) signals ...
Jianfeng Hu, Ping Wang
doaj   +1 more source

Work domain analysis and intelligent transport systems: Implications for vehicle design [PDF]

open access: yes, 2007
This article presents a Work Domain Analysis (WDA) of the road transport system in Victoria, Australia. A series of driver information requirements and tasks that could potentially be supported through the use of Intelligent Transport Systems (ITS) are ...
Lenne, M   +4 more
core   +1 more source

State space model detection of driving fatigue considering individual differences and time cumulative effect

open access: yesInternational Journal of Transportation Science and Technology
Fatigue is an important cause of traffic crashes, and effective fatigue detection models can reduce these crashes. Research has found large differences in fatigued driving performance from driver to driver, as well as a significant cumulative effect of ...
Xuesong Wang   +4 more
doaj   +1 more source

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification [PDF]

open access: yes, 2019
Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated ...
Babiloni, Fabio   +7 more
core   +1 more source

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