10 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
Gaze Prediction as a Function of Eye Movement Type and Individual Differences
Kateryna Melnyk, Lee Friedman, Dmytro Katrychuk +1
Eye movement prediction is a promising area of research with the potential to improve performance and the user experience of systems based on eye-tracking technology. In this study…
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…
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…