10 citations · 10 across the 3 of their papers we have counts for
5 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,…
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…
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…
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive
Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev
We evaluated the data quality of SMI's tethered eye-tracking head-mounted display based on the HTC Vive (ET-HMD) during a random saccade task. We measured spatial accuracy, spatial…