A New Algorithm for Identifying Saccadic Movements in Eye-Tracking Studies: Poster

A New Algorithm for Identifying Saccadic Movements in Eye-Tracking Studies: Poster

Originally presented at the 2024 ECEM Conference at Maynooth University in Ireland

Even small inaccuracies in eye-tracking classification can distort how we understand lens performance. This study, presented at the 2024 ECEM Conference at Maynooth University, introduces a new algorithm to improve saccade detection using wearable eye-tracking technology.

The research explores:

  • How different progressive lens designs influence saccadic behavior.
  • Key differences between traditional and updated tracking methods.
  • Why better saccade analysis can support lens design and wearer adaptation.

Download the full poster to explore the methodology, results, and its implications for improving progressive lens evaluation.

Fill out this form below to download the poster.


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