Results 81 to 90 of about 1,740 (178)
Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation
Applied Sciences, 2021 Driver fatigue is the culprit of most traffic accidents. Visual technology can intuitively judge whether the driver is in the state of fatigue. A driver fatigue detection system based on the residual channel attention network (RCAN) and head pose ...
Mu Ye +3 more
doaj +1 more source
Subjective awareness of sleepiness while driving in younger and older adults
Journal of Sleep Research, Volume 33, Issue 1, February 2024.Summary Understanding whether drivers can accurately assess sleepiness is essential for educational campaigns advising drivers to stop driving when feeling sleepy. However, few studies have examined this in real‐world driving environments, particularly among older drivers who comprise a large proportion of all road users.
Anna W. T. Cai +9 more
wiley +1 more source
EEG‐Based Emotion Recognition Datasets for Virtual Environments: A Survey
Applied Computational Intelligence and Soft Computing, Volume 2024, Issue 1, 2024.One of the most important problems in virtual environments (VEs) is the difficulty users face when trying to deal with increasingly complex systems. Thus, giving machines the ability to understand human emotions would make interactions easier and more reliable.
Hussein Ali Hamzah +2 more
wiley +1 more source
Fatigue detection system to aid in remote work [PDF]
, 2022 During the Covid-19 pandemic there was a noticeable surge in the amount of remote workers. In the aftermath of the pandemic working from home still remains a reality for many workers with noticeable impacts on the mental health of people.
Teixeira, Gonçalo Gomes
core
Drive Risk Assessment Based on Game Theory Combinatorial Weighting—Unascertained Measure Theory
Journal of Advanced Transportation, Volume 2024, Issue 1, 2024.The driving risk is assessed using the theory of unascertained measures to determine the presence of a conditional switch in the control system of a human‐machine codriving vehicle. Relevant risk indicators for driving are selected, including five driver‐related indicators and three vehicle‐related indicators.
Lingyu Zhang +4 more
wiley +1 more source
Assessment of Driver Mental Fatigue Using Facial Landmarks
IEEE Access, 2019 Driver fatigue is one of the causal factors for traffic accidents. Actions of facial units convey various information from our brains. This paper proposed a comprehensive approach to explore whether pattern of sequences of the driver's facial landmarks ...
Qian Cheng +4 more
doaj +1 more source
Drowsy Driver Monitor and Warning System [PDF]
, 2001 The design and use of a low-cost drowsy driver monitor, the Copilot, and proposed driver interfaces are presented. The Copilot consists of a digital camera integrated with a low-cost digital signal processor (DSP).
Grace, Richard, Steward, Sonya
core +3 more sources
A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection [PDF]
, 2012 Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing.
Jie, Maa +2 more
core
Supervised stereo visual acuity tests implemented on 3D TV monitors
, 2012 International audienceIn this paper we discuss under which conditions standard stereo visual acuity tests can be implemented on 3D TV monitors. In particular, we emphasize the role of environmental lighting conditions, on the measurement of the stereo ...
Cochener, Béatrice +5 more
core +4 more sources
Stimulation with an Intermittent Fragrance Relieves the Sleepiness of a Driver
i-Perception, 2011 In this study, we showed that the presentation of an intermittent fragrance by using a driving simulator was effective in relieving the sleepiness of a driver. The driver who stepped on the simulator run continually for 52 minutes.
Kenji Susami +4 more
doaj +1 more source