16 citations · 65 across the 20 of their papers we have counts for
5 papers · 1 filter
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…
Three errors and two problems in a recent paper: gazenet: End-to-end eye-movement event detection with deep neural networks (Zemblys, Niehorster, and Holmqvist, 2019)
Lee Friedman
Zemblys et al. \cite{gazeNet} reported on a method for the classification of eye-movements ("gazeNet"). I have found 3 errors and two problems with that paper that are explained he…
The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER
Lee Friedman, Hal S. Stern, Oleg V. Komogortsev
If you have a target level of biometric performance (e.g. EER = 5% or 0.1%), how many units of unique information (uncorrelated features) are needed to achieve that target? We show…
Biometric Performance as a Function of Gallery Size
Lee Friedman, Hal S Stern, Vladyslav Prokopenko +3
Many developers of biometric systems start with modest samples before general deployment. They are interested in how their systems will work with much larger samples. We evaluated…
Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades
Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev
We built a custom video-based eye-tracker that saves every video frame as a full resolution image (MJPEG). Images can be processed offline for the detection of ocular features, inc…