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
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. (2022).
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. (2021).
Shanidze LabRead More
Our 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.
- Anca Velisar - Research Associate
- Kassia Love - Research Intern