16 citations · 49 across the 18 of their papers we have counts for
20 papers
A Mechanistic Transform Model for Synthesizing Eye Movement Data with Improved Realism
Henry Griffith, Samantha Aziz, Dillon J Lohr +1
This manuscript demonstrates an improved model-based approach for synthetic degradation of previously captured eye movement signals. Signals recorded on a high-quality eye tracking…
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality
Dillon Lohr, Samantha Aziz, Lee Friedman +1
We present GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking (ET) dataset collected at 250 Hz with an ET-enabled virtual-reality (VR) headset. GazeBaseVR comprises 5,…
Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals
Mehedi H. Raju, Lee Friedman, Troy M. Bouman +1
In 1993, Stampe [1993] suggested two "heurisitic" filters that were designed for video-oculography data. Several manufacturers (e.g., SR-Research, Tobii T60 XL and SMI) have employ…
GazeBase: A Large-Scale, Multi-Stimulus, Longitudinal Eye Movement Dataset
Henry Griffith, Dillon Lohr, Evgeny Abdulin +1
This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged subjects. Subjects complete…
Hierarchical HMM for Eye Movement Classification
Ye Zhu, Yan Yan, Oleg Komogortsev
In this work, we tackle the problem of ternary eye movement classification, which aims to separate fixations, saccades and smooth pursuits from the raw eye positional data. The eff…
Parallel Oculomotor Plant Mathematical Model for Large Scale Eye Movement Simulation
Alex Karpov, Jacob Liberman, Dillon Lohr +1
The usage of eye tracking sensors is expected to grow in virtual (VR) and augmented reality (AR) platforms. Provided that users of these platforms consent to employing captured eye…