Results 31 to 40 of about 1,158 (175)
Intelligent In‐Vehicle Interaction Technologies
Advanced Intelligent Systems, Volume 4, Issue 2, February 2022., 2022 Human–vehicle interaction is integral for the user acceptance and trust toward autonomous vehicles. Growing number of interior sensors integrated in the vehicle enable multimodal interaction between the vehicle and the humans. Herein, a comprehensive state‐of‐art for human‐vehicle interaction is provided in terms of interior sensing technologies and ...
Prajval Kumar Murali +2 more
wiley +1 more source
Research on fatigue driving warning based on image processing
Dianzi Jishu Yingyong, 2019 This paper researches the fatigue driving detection system based on the knowledge of image processing. After constructing the face correlation database, the main fatigue related information is obtained by the hybrid model algorithm. Firstly, the image is
Liu Chaotao, Zhang Xuejiao
doaj +1 more source
Correlation between Cognitive Function and Time‐Series Variation in Eyelid Opening and Closing from Facial Videos During Neuropsychological Tests [PDF]
Alzheimers DementAbstract Background The application of image recognition technology has been spreading to dementia screening. However, cognitive function fluctuates due to mental and physical conditions. Therefore, we believe that it may be necessary to evaluate facial information over time after considering these factors.
Umematsu T +4 more
europepmc +2 more sources
Analyzing Multi-Mode Fatigue Information from Speech and Gaze Data from Air Traffic Controllers
Aerospace, 2023 In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector ...
Lin Xu +4 more
doaj +1 more source
An embedded intelligence engine for driver drowsiness detection
IET Computers &Digital Techniques, Volume 16, Issue 1, Page 10-18, January 2022., 2022 Abstract Motor vehicle crashes involving drowsy driving are huge in number all over the world. Many studies revealed that 10%–30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. This drowsiness of drivers can be detected using various methods, for example, algorithms based on behavioural ...
Shirisha Vadlamudi, Ali Ahmadinia
wiley +1 more source
Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences
Applied Sciences, 2022 The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive driver fatigue detection algorithm based on facial landmarks to improve the detection accuracy, which detects the ...
Tianjun Zhu +7 more
doaj +1 more source
Occupational and Driving Challenges Within Sleep Medicine. [PDF]
J Sleep ResABSTRACT Shift work is a necessity for a society that requires 24/7 services. However, working around the clock can cause a misalignment with our sleep‐wake cycle, resulting in sleepiness, impaired cognition and poor health. Due to the prevalence of shift work within safety‐critical contexts, there is a need to further understand the causes and ...
Pilkington-Cheney F, McNicholas WT.
europepmc +2 more sources
EEG index for control operators’ mental fatigue monitoring using interactions between brain regions [PDF]
, 2016 Mental fatigue is a gradual and cumulative phenomenon induced by the time spent on a tedious but mentally demanding task, which is associated with a decrease in vigilance. It may be dangerous for operators controlling air traffic or monitoring plants.
Bonnet, Stephane +3 more
core +3 more sources
Learning State Assessment in Online Education Based on Multiple Facial Features Detection
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 Considering that most of online training is not effectively supervised, this article presents an online leaning state assessment approach which combines blink detection, yawn detection, and head pose estimation. Blink detection is realized by computing the eye aspect ratio and the ratio of closed eye frames to the total frames per unit time to evaluate
Deguang Li +6 more
wiley +1 more source
A Field Study of Work Type Influence on Air Traffic Controllers' Fatigue Based on Data-Driven PERCLOS Detection. [PDF]
Int J Environ Res Public Health, 2021 The fatigue of air traffic controllers (ATCOs) on duty seriously threatens air traffic safety and needs to be managed. ATCOs perform several different types of work, with each type of work having different characteristics. Nonetheless, the influence of work type on an ATCO’s fatigue has yet to be demonstrated.
Zhang J, Chen Z, Liu W, Ding P, Wu Q.
europepmc +4 more sources