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Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response
2021
Frontiers in Medicine
Tracking the pupil size manually is a tedious process and offline automated systems can be prone to errors that may require intervention; for this reason in this work we describe a system for pupil size ...
Tracking was automated using a Kalman filter estimating the pupil center and diameter over time. ...
The tracking of pupil direction and size has a variety of applications, and Kalman filters provide a robust means of estimating size over time in a variety of contexts. ...
doi:10.3389/fmed.2021.645293
pmid:33842509
pmcid:PMC8026862
fatcat:an3lul6przdsfabgimdw2vu6oa
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios
[article]
2022
arXiv
pre-print
The findings can be applied in improving the visual perception algorithms and providing accurate data for planning and control. ...
However, the complex and uncertain road environments bring great challenges to the visual perception of cooperative systems. ...
According to research conducted by the Society of Automotive Engineers [1] , the automated driving systems could be divided into six levels, from Level-0(fully manual driving) to Level-5(fully automated ...
arXiv:2112.09298v2
fatcat:l3mvnpzldfginnbhoqcgwu3fs4
Gaze and Eye Tracking: Techniques and Applications in ADAS
2019
Sensors
Tracking drivers' eyes and gazes is a topic of great interest in the research of advanced driving assistance systems (ADAS). ...
In another section of the paper, the applications of eyes and gaze tracking systems in ADAS are discussed. ...
Between the levels of no automation to full automation, the automated system has an authority to control the vehicle. ...
doi:10.3390/s19245540
pmid:31847432
pmcid:PMC6960643
fatcat:5ujzwbbr65dmtpebey2t6bmk5u
RemoteEye: An open-source high-speed remote eye tracker : Implementation insights of a pupil- and glint-detection algorithm for high-speed remote eye tracking
2020
Behavior Research Methods
This includes methods to effectively and robustly detect and track glints and pupils in the context of high-speed remote eye tracking, which, paired with a geometric eye model, achieved an average gaze ...
In this paper, we present and evaluate a system designed to track such high-speed eye movements, achieving operating frequencies well beyond 500 Hz. ...
The Kalman filter can be problematic for the pupil signal, as pupil movements can be very fast and create far jumps in the image. ...
doi:10.3758/s13428-019-01305-2
pmid:32212086
fatcat:gpuid2k3azhxljxbgklmr3avmy
Implementation of Drowsiness Detection and Safe Driving System
2020
International Journal of IT-based Public Health Management
state are determined by measuring the angle changes of the head associated with the operation time, We want to implement a system that alerts the drowsy driver according to the result. ...
The drowsiness detection system proposed in this paper was confirmed that it would be easy to manufacture and practical by applying low cost parts. ...
In order to solve this problem, it is confirmed that the signal stability for acquiring the warning condition is secured by applying the extended Kalman filter by fusing the two signals. ...
doi:10.21742/ijiphm.2020.7.1.01
fatcat:4bqumrqmhzbxxbbdgb3popfcji
Real-Time Estimation of Drivers' Trust in Automated Driving Systems
2020
International Journal of Social Robotics
Such trust measurement technique paves a path for the design of trust-aware automated driving systems capable of changing their behaviors to control drivers' trust levels to mitigate both undertrust and ...
A modern challenge for automotive engineers is to avoid these trust miscalibration issues through the development of techniques for measuring drivers' trust in the automated driving system during real-time ...
Victor Paul in helping with the study design. The authors would also like to thank Quantum Signal, LLC, for providing ANVEL software and their development support. ...
doi:10.1007/s12369-020-00694-1
fatcat:pr2j3elte5bynappljx4xdljpm
Eyeball Controlled Wheelchair
2020
Journal of science and technolgy
And thereby the wheelchair is constrained by a user's eye gesture in an indoor space. When the development has been initiated and it is given to the Raspberry pi for processing. ...
This model comprised of a camera that tracks the eyeball movement and hence the position of the pupil by the image processing technique. ...
In this manner, we have effectively made a gadget for exhibiting and testing eye-based interfaces at an exceptionally minimal effort and high proficiency which can be utilized for a huge scope in different ...
doi:10.46243/jst.2020.v5.i4.pp238-247
fatcat:2zo7zwtjxfdmpnzw7jdi4udmia
Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
[article]
2020
arXiv
pre-print
Technologies at these levels are found to be mature and available as foundations for use in higher level systems such as behaviour modelling, prediction and interaction control. ...
This self-contained Part I covers the lower levels of this stack, from sensing, through detection and recognition, up to tracking of pedestrians. ...
The following are some of the most popular variants of Bayesian Filtering used for pedestrian point tracking: a) Kalman Filter: A Bayes filter applied to linear systems with continuous states -i.e. its ...
arXiv:2002.11669v1
fatcat:fgg5j5jdwrbujjgtj2uhgrx2am
Multi-sensor driver drowsiness monitoring
2008
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
For designing a feature space to be used in decision making, several metrics are derived using histograms and entropies of the signals. ...
For validation of this hypothesis, 30 subjects, in normal and sleep-deprived conditions, are involved in a standard highway simulation for 1.5 h, giving a data set of 30 pairs. ...
If the Kalman filter or its versions (unscented Kalman Filter and extended/Kalman Filter) is to be used it is beneficial to employ an analogy of the Kalman filter for sensor fusion; the states can be selected ...
doi:10.1243/09544070jauto513
fatcat:qotrdtrls5b7vfobzs5uj5u7su
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking
2020
IEEE transactions on intelligent transportation systems (Print)
Technologies at these levels are found to be mature and available as foundations for use in high-level systems, such as behaviour modelling, prediction and interaction control. ...
This self-contained Part I covers the lower levels of this stack, from sensing, through detection and recognition, up to tracking of pedestrians. ...
The following are some of the most popular variants of Bayesian Filtering used for pedestrian point tracking: a) Kalman Filter (KF): A KF is a Bayes filter applied to linear systems with continuous states ...
doi:10.1109/tits.2020.3006768
fatcat:awa5dgk4rbazteetyyqrndbgxq
Recycling a Landmark Dataset for Real-time Facial Capture and Animation with Low Cost HMD Integrated Cameras
2019
The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry on - VRCAI '19
Preparing datasets for use in the training of real-time face tracking algorithms for HMDs is costly. ...
Critical robustness is achieved with measures for mouth region segmentation, blink detection and pupil tracking. ...
ACKNOWLEDGMENTS We thank the reviewers for their careful feedback. Mark Mine of Walt Disney Studios provided much encouragement. ...
doi:10.1145/3359997.3365690
dblp:conf/vrcai/BritoM19
fatcat:4dzxs44xsjbwhgymhmvnghro44
Real-Time Face Eye Tracking and Blink Detection using Event Cameras
[article]
2020
arXiv
pre-print
Driver monitoring systems (DMS) are in-cabin safety systems designed to sense and understand a drivers physical and cognitive state. ...
Event cameras are particularly suited to DMS due to their inherent advantages. This paper proposes a novel method to simultaneously detect and track faces and eyes for driver monitoring. ...
We would like to thank Dr. Petronel Bigioi and Dr. Chris Dainty of Xperi for their support throughout this project. ...
arXiv:2010.08278v1
fatcat:gr2yzww6hnajflmisb6onhpbw4
Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors
2018
Applied Informatics
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Received: 19 July 2018 Accepted: 20 October 2018 ...
Ethics approval and consent to participate All drivers gave their consent to participate, which was approved by institutional ethics committees. ...
But on the same drivers (the driving videos database is public), in Azim et al. (2014) have shown that based on only two features: (1) PERCLOS and (2) Mouth state, tracked and extracted by the Kalman ...
doi:10.1186/s40535-018-0054-9
fatcat:w75wyksewrfbzfzx4fjmdkn63e
Face for Ambient Interface
[chapter]
2006
Lecture Notes in Computer Science
This article summarizes our efforts in achieving this goal, enumerates the scientific and engineering issues that arise in meeting this challenge and outlines recommendations for accomplishing this objective ...
The human face is used to identify other people, to regulate the conversation by gazing or nodding, to interpret what has been said by lip reading, and to communicate and understand social signals, including ...
Pantic is supported by the Netherlands Organization for Scientific Research Grant EW-639.021.202. ...
doi:10.1007/11825890_2
fatcat:m6xuu22fijgcfcls7qcmcewow4
The sensors are also used in tandem, for instance, to check that the driver scanned their mirror during a lane change. ...
We present ALT, a low-cost smartphone-based system for automating key aspects of the driver license test. ...
system. ...
doi:10.1145/3356250.3360037
dblp:conf/sensys/NambiMGLP19
fatcat:dyka6p2sl5habc6xpr365mud6i
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