Results 31 to 40 of about 56,380 (293)
Tractor cabin ergonomics analyses by means of Kinect motion capture technology [PDF]
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
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]
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]
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
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
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
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]
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
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]
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

