Challenges in Head-Free Eye Tracking in Health & Disease
This project is focused on investigating sources of error and potential improvement methodologies for head-free eye tracking, particularly in individuals with known oculomotor deficits
Tabs
Journal Articles
. (2022). A low-cost robotic oculomotor simulator for assessing eye tracking accuracy in health and disease. Behavior Research Methods. http://doi.org/10.3758/s13428-022-01938-w
Conference Papers
. (2021). Noise in the Machine: Sources of Physical and Computation Error in Eye Tracking with Pupil Core Wearable Eye Tracker. In ACM Symposium on Eye Tracking Research and Applications (pp. 1-3). Association for Computing Machinery: New York, NY, USA. http://doi.org/10.1145/3450341.3458495
. (2021). Eye, Robot: Calibration Challenges and Potential Solutions for Wearable Eye Tracking in Individuals with Eccentric Fixation. In ACM Symposium on Eye Tracking Research and Applications (Adjunct, pp. 1-3). Association for Computing Machinery: New York, NY, USA. http://doi.org/10.1145/3450341.3458489
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Shanidze Lab
Read MoreOur laboratory is interested in the mechanisms of eye and head movement and coordination and how those mechanisms are altered when visual or vestibular inputs are compromised.
Current
- Anca Velisar - Research Associate
Past
- Kassia Love - Research Intern
