Results 101 to 110 of about 1,740 (178)

Design and Implementation of Real-time Algorithms for Eye Tracking and PERCLOS Measurement for on board Estimation of Alertness of Drivers

, 2015
The alertness level of drivers can be estimated with the use of computer vision based methods. The level of fatigue can be found from the value of PERCLOS. It is the ratio of closed eye frames to the total frames processed. The main objective of the thesis is the design and implementation of real-time algorithms for measurement of PERCLOS. In this work
George, Anjith, Routray, Aurobinda
openaire   +2 more sources

Scaling effectivity in manifold methodologies to detect driver’s fatigueness and drowsiness state [PDF]

The state of fatigueness and drowsiness relates to the stressed physical and mental condition of a driver that reduces the ability of a driver to drive safely leading to fatal consequences of road accidents.
Prashant, Jyothi Arcot, Shankara Chari, Gowrishankar Shiva   +1 more
core   +2 more sources

Fatigue Monitoring System [PDF]

, 2010
This work provides an innovative solution for monitoring fatigue for users behind workstations. A web camera was adjusted to work in near infrared range and a system of 880 nm IR diodes was implemented to create an IR vision system to localize and track ...
Ratecki, Tomasz
core   +1 more source

Varieties of interaction: from User Experience to Neuroergonomics:On the occasion of the Human Factors and Ergonomics Society Europe Chapter Annual Meeting in Rome, Italy 2017 [PDF]

Proceedings of the HFES European Chapter ...
Brookhuis, Karel, Coelho, Denis, de Waard, Dick, Di Nocera, Francesco, Edworthy, J., Ferlazzo, Fabio, Franke, Thomas, Toffetti, Antonella   +7 more
core   +1 more source

Using Image Processing in the Proposed Drowsiness Detection System Design

Iranian Journal of Public Health, 2018
Background: Drowsiness is one of the underlying causes of driving accidents, which contribute, to many road fatalities annually. Although numerous methods have been developed to detect the level of drowsiness, techniques based on image processing are ...
Mohsen POURSADEGHIYAN, Adel MAZLOUMI, Gebraeil NASL SARAJI, Mohammad Mehdi BANESHI, Alireza KHAMMAR, Mohammad Hossein EBRAHIMI   +5 more
doaj  

Domain-adaptive multi-modal deep learning for monitoring student fatigue and engagement in remote ideological and political education

Discover Artificial Intelligence
Attributing student engagement and involvement in ideological and political education (IPE) to learning value-oriented outcomes is an utmost importance.
Zeng Wang, Xu Jiang, Pingping Long
doaj   +1 more source

Research on Fatigued-Driving Detection Method by Integrating Lightweight YOLOv5s and Facial 3D Keypoints. [PDF]

Sensors (Basel), 2023
Ran X, He S, Li R.
europepmc   +1 more source

A CNN-Based Wearable System for Driver Drowsiness Detection. [PDF]

Sensors (Basel), 2023
Li Y, Zhang S, Zhu G, Huang Z, Wang R, Duan X, Wang Z.   +6 more
europepmc   +1 more source

Research on drowsiness detection in UAV operators based on the random decision forest method. [PDF]

Sci Rep
Wojtowicz K, Wojciechowski P, Panasiewicz A.   +2 more
europepmc   +1 more source

Convergent validity of video-based observer rating of drowsiness, against subjective, behavioral, and physiological measures. [PDF]

PLoS One, 2023
Uchiyama Y, Sawai S, Omi T, Yamauchi K, Tamura K, Sakata T, Nakajima K, Sakai H.   +7 more
europepmc   +1 more source