TY - GEN
T1 - High-resolution eye tracking using scanning laser ophthalmoscopy
AU - Bowers, Norick R.
AU - Banks, Martin S.
AU - Roorda, Austin
AU - Gibaldi, Agostino
AU - Alexander, Emma
N1 - Funding Information:
This work was partially supported by the Center for Innovation in Vision and Optics. (civo.berkeley.edu)
Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/6/25
Y1 - 2019/6/25
N2 - Current eye-tracking techniques rely primarily on video-based tracking of components of the anterior surfaces of the eye. However, these trackers have several limitations. Their limited resolution precludes study of small fixational eye motion. Furthermore, many of these trackers rely on calibration procedures that do not offer a way to validate their eye motion traces. By comparison, retinal-image-based trackers can track the motion of the retinal image directly, at frequencies greater than 1kHz and with subarcminute accuracy. The retinal image provides a way to validate the eye position at any point in time, offering an unambiguous record of eye motion as a reference for the eye trace. The benefits of using scanning retinal imaging systems as eye trackers, however, comes at the price of different problems that are not present in video-based systems, and need to be solved to obtain robust eye traces. The current abstract provides an overview of retinal-image-based eye tracking methods, provides preliminary eye-tracking results from a tracking scanning-laser ophthalmoscope (TSLO), and proposes a new binocular line-scanning eye-tracking system.
AB - Current eye-tracking techniques rely primarily on video-based tracking of components of the anterior surfaces of the eye. However, these trackers have several limitations. Their limited resolution precludes study of small fixational eye motion. Furthermore, many of these trackers rely on calibration procedures that do not offer a way to validate their eye motion traces. By comparison, retinal-image-based trackers can track the motion of the retinal image directly, at frequencies greater than 1kHz and with subarcminute accuracy. The retinal image provides a way to validate the eye position at any point in time, offering an unambiguous record of eye motion as a reference for the eye trace. The benefits of using scanning retinal imaging systems as eye trackers, however, comes at the price of different problems that are not present in video-based systems, and need to be solved to obtain robust eye traces. The current abstract provides an overview of retinal-image-based eye tracking methods, provides preliminary eye-tracking results from a tracking scanning-laser ophthalmoscope (TSLO), and proposes a new binocular line-scanning eye-tracking system.
KW - Binocular Eye Tracking
KW - Fixa-tional Eye Motion
KW - Scanning Laser Ophthalmoscopy
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U2 - 10.1145/3314111.3322877
DO - 10.1145/3314111.3322877
M3 - Conference contribution
AN - SCOPUS:85069447349
T3 - Eye Tracking Research and Applications Symposium (ETRA)
BT - Proceedings - ETRA 2019
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
T2 - 11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
Y2 - 25 June 2019 through 28 June 2019
ER -