Results 21 to 30 of about 382,243 (303)
Differential item functioning in the Patient Reported Outcomes Measurement Information System Pediatric Short Forms in a sample of children and adolescents with cerebral palsy. [PDF]
, 2016 AIM: The present study examined the Patient Reported Outcomes Measurement Information System (PROMIS) Mobility, Fatigue, and Pain Interference Short Forms (SFs) in children and adolescents with cerebral palsy (CP) for the presence of differential item ...
Bjorner +17 more
core +2 more sources
A Low-Cost Prototype for Driver Fatigue Detection
Multimodal Technologies and Interaction, 2019 Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful.
Tiago Meireles, Fábio Dantas
doaj +1 more source
Optical Flow and Driver’s Kinematics Analysis for State of Alert Sensing
Sensors, 2013 Road accident statistics from different countries show that a significant number of accidents occur due to driver’s fatigue and lack of awareness to traffic conditions.
Miguel Torres-Torriti +1 more
doaj +1 more source
IEEE Access, 2023 Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander +4 more
doaj +1 more source
Single channel wireless EEG device for real-time fatigue level detection [PDF]
, 2015 © 2015 IEEE. Driver fatigue problem is one of the important factors of traffic accidents. Recent years, many research had investigated that using EEG signals can effectively detect driver's drowsiness level.
Chuang, CH +8 more
core +1 more source
Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection
Future Internet, 2019 Road traffic accidents caused by fatigue driving are common causes of human casualties. In this paper, we present a driver fatigue detection algorithm using two-stream network models with multi-facial features.
Weihuang Liu +4 more
doaj +1 more source
Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network
Applied Sciences, 2022 Driver fatigue and distracted driving are the two most common causes of major accidents. Thus, the on-board monitoring of driving behaviors is key in the development of intelligent vehicles.
Bing-Ting Dong +2 more
doaj +1 more source
, 2019 Nowadays, there are many fatigue detection methods and the majority of them are tracking eye in real-time using one or two cameras to detect the physical responses in eyes. It is indicated that the responses in eyes have high relativity with driver fatigue.
Verma, Ashish +2 more
openaire +2 more sources
Journal of Sensor and Actuator Networks, 2023 This research presents a machine learning modeling process for detecting mental fatigue using three physiological signals: electrodermal activity, electrocardiogram, and respiration.
Carole-Anne Cos +5 more
doaj +1 more source
A Survey on State-of-the-Art Drowsiness Detection Techniques
IEEE Access, 2019 Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in time.
Muhammad Ramzan +5 more
doaj +1 more source