Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies
Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …
of an eye relative to the head. Researchers have developed different algorithms and …
Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks
Remote eye tracking technology has suffered an increasing growth in recent years due to its
applicability in many research areas. In this paper, a video-oculography method based on …
applicability in many research areas. In this paper, a video-oculography method based on …
RGBE-Gaze: A Large-scale Event-based Multimodal Dataset for High Frequency Remote Gaze Tracking
High-frequency gaze tracking demonstrates significant potential in various critical
applications, such as foveatedrendering, gaze-based identity verification, and the diagnosis …
applications, such as foveatedrendering, gaze-based identity verification, and the diagnosis …
Eye-tracking assistive technologies for individuals with amyotrophic lateral sclerosis
HO Edughele, Y Zhang, F Muhammad-Sukki… - IEEE …, 2022 - ieeexplore.ieee.org
Amyotrophic lateral sclerosis, also known as ALS, is a progressive nervous system disorder
that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control …
that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control …
Vision transformers and YoloV5 based driver drowsiness detection framework
Human drivers have distinct driving techniques, knowledge, and sentiments due to unique
driving traits. Driver drowsiness has been a serious issue endangering road safety; …
driving traits. Driver drowsiness has been a serious issue endangering road safety; …
An experimental analysis of outdoor UAV localisation through diverse estimators and crowd-sensed data fusion
Motivated by the challenge of achieving precise 3D outdoor localisation for unmanned aerial
vehicles (UAVs) in global navigation satellite system (GNSS)-denied environments, this …
vehicles (UAVs) in global navigation satellite system (GNSS)-denied environments, this …
Breast cancer segmentation using attention-based convolutional network and explainable ai
J Vardhan, TSKT Malisetti - arxiv preprint arxiv:2305.14389, 2023 - arxiv.org
Breast cancer (BC) remains a significant health threat, with no long-term cure currently
available. Early detection is crucial, yet mammography interpretation is hindered by high …
available. Early detection is crucial, yet mammography interpretation is hindered by high …
Real-time driver drowsiness detection using transfer learning
Among the primary causes of traffic accidents, drowsy driving is identified, which poses a
significant threat to road safety on a global scale, emphasizing the need to address this …
significant threat to road safety on a global scale, emphasizing the need to address this …
Real-time driver drowsiness detection and classification on embedded systems using machine learning algorithms
ME Sahin - Traitement du Signal, 2023 - search.proquest.com
Traffic accidents caused by driver drowsiness are a significant concern. An automatic,
contactless device capable of early detection and identification of a driver's drowsy state …
contactless device capable of early detection and identification of a driver's drowsy state …
Driver Facial Detection Across Diverse Road Conditions
This study emphasizes the importance of facial detection for improving road safety through
driver behavior analysis. Its employs quantitative methodology to underscore the importance …
driver behavior analysis. Its employs quantitative methodology to underscore the importance …