Poster + Paper
11 May 2023 Real-time eye tracking for handheld optical coherence tomography system
Lakshmi Parvathi M., Abira Bright B, Vani Damodaran
Author Affiliations +
Proceedings Volume 12638, Women in Optics and Photonics in India 2022; 1263813 (2023) https://doi.org/10.1117/12.2672168
Event: Women in Optics and Photonics in India, 2022, Bangalore, India
Conference Poster
Abstract
Optical coherence tomography (OCT) has had significant success in the field of ophthalmology, where it is essential for both screening and diagnosis. Clinical ophthalmic OCT systems are primarily used as table-top instruments that requires the subject to align with the chinrest and be operated by qualified personnel. In order to perform OCT imaging on bedridden patients or on babies, a handheld model is essential. In handheld devices, eye movements and probe movements cause artifacts while recording OCT images, making interpretation and registration more difficult. As a result, there is a need for an OCT scanner with an automatic real-time eye-tracking system and a correction mechanism to compensate for such movements. This work aims at developing a scanner head employing a cutting-edge stereo edge camera equipped with an inertial measurement unit (IMU) for detecting rotations and motions with six degrees of freedom. In this work, an Intel RealSense D435i depth camera-based eye tracking is performed. A python-based code was developed to image the eye continuously, detect face landmarks with media pipe, process the eye features in each frame, identify the iris in each frame and a circle is marked over the iris which would move along with the iris. The algorithm is tested on various scenarios of face angle and head motion. The eye movement identification and tracking capability of the developed algorithm and its performance results are presented in this study.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lakshmi Parvathi M., Abira Bright B, and Vani Damodaran "Real-time eye tracking for handheld optical coherence tomography system", Proc. SPIE 12638, Women in Optics and Photonics in India 2022, 1263813 (11 May 2023); https://doi.org/10.1117/12.2672168
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KEYWORDS
Iris recognition

Eye

Optical coherence tomography

Eye tracking

Cameras

Detection and tracking algorithms

Algorithm development

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