Paper Info
Title
A Compact Wearable Eye Movement Measurement System for Support of Safe Driving
Abstract
If the eye movement of a driver who makes a long drive during the day and at night can be measured with less stress to the driver in order to estimate the following items for a long time with high accuracy, it is expected that the information will make a great contribution to safe driving: 1) What the driver is looking at or paying attention to (i.e. gaze), 2) A feeling or sign of unwellness such as dizziness, car sickness, and discomfort (i.e. rotational eye movement). In this study, the authors propose an approach in which an area of high intensity gradients in the white part of the eye, i.e. an area that includes a blood vessel with a distinctive shape, is automatically selected to estimate the gaze and calculate the angle of eye rotation, so that the target ocular blood vessel can be tracked with high accuracy even if blood vessels in the white part of the eye differ considerably between individuals in terms of shape, length, and thickness. An evaluation experiment yielded excellent results under various lighting conditions. Especially, extremely positive results were obtained for the estimation accuracy of rotational eye movement, with an estimation error of −0.69° ± 1.02° (mean and standard deviation).
Year
DOI
Venue
2019
10.1109/ICMECH.2019.8722890
2019 IEEE International Conference on Mechatronics (ICM)
Keywords
Field
DocType
Blood vessels,Biomedical imaging,Feature extraction,Rotation measurement,Motion measurement,Vehicles,Light emitting diodes
Computer vision,System of measurement,Gaze,Control theory,Wearable computer,Unwellness,Car Sickness,Eye movement,Artificial intelligence,Engineering,Ocular blood vessel,Standard deviation
Conference
Volume
ISBN
Citations 
1
978-1-5386-6959-4
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Kiyoshi Hoshino16122.33
Nayuta Ono201.01