scholar.google.com › citations
Nov 30, 2021 · This paper presents a vision-based method to extract useful parameters from a driver's eye movement signals and manual feature extraction based on domain ...
Jul 22, 2024 · This paper presents a vision-based method to extract useful parameters from a driver's eye movement signals and manual feature extraction based ...
Vision-Based Driver's Cognitive Load Classification Considering Eye ...
europepmc.org › article › med
Nov 30, 2021 · This paper presents a vision-based method to extract useful parameters from a driver's eye movement signals and manual feature extraction based ...
Feb 23, 2021 · In this paper, two eye movement parameters, saccade, and fixation are investigated through facial images and 13 features are manually extracted.
Eye movement data, collected using eye-tracking technology, were utilized to evaluate the comprehensive visual perception and optimize the layout of sign groups ...
People also ask
What is machine learning and deep learning in computer vision?
Is machine vision deep learning?
May 23, 2022 · We built five datasets to train and evaluate our machine learning models: • eyeSet, with eye-tracking features only;. • physioSet, with HR and ...
Missing: Vision- | Show results with:Vision-
Conclusions: Machine learning analysis demonstrated potential in discriminating cognitive workload levels using only eye-tracking characteristics. The proposed ...
Jun 10, 2024 · Vision-Based Driver's Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning. Sensors, Vol. 21, No ...
Aug 2, 2023 · In this study, an innovative method was presented to optimize AR-HUD interfaces by integrating IVPM with a GA. IVPM-GA effectively reduced cognitive load.
This project will focus on detecting this type of inattention with eye-tracking and physiological measures using machine learning techniques. 1.1 Background. In ...