Strategies for enhancing automatic fixation detection in head-mounted eye tracking.

ABSTRACT: Moving through a dynamic world, humans need to intermittently stabilize gaze targets on their retina to process visual information. Overt attention being thus split into discrete intervals, the automatic detection of such fixation events is paramount to downstream analysis in many eye-tracking studies. Standard algorithms tackle this challenge in the limiting case of little to no head motion. In this static scenario, which is approximately realized for most remote eye-tracking systems, it amounts to detecting periods of relative eye stillness. In contrast, head-mounted eye trackers allow for experiments with subjects moving naturally in everyday environments. Detecting fixations in these dynamic scenarios is more challenging, since gaze-stabilizing eye movements need to be reliably disting

SUBMITTER: Drews M 

PROVIDER: S-EPMC11541274 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature