Lee Friedman

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 22

Top Topics

Virtual Reality

Temporal Persistence

Mathematical Models

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg V. Komogortsev
Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline. CoRR (2024)
Samantha Aziz, Dillon J. Lohr, Lee Friedman, Oleg Komogortsev
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. ETRA (2024)
Lee Friedman, Oleg V. Komogortsev
Evidence for five types of fixation during a random saccade eye tracking task: Implications for the study of oculomotor fatigue. CoRR (2024)
Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg Komogortsev
Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies. ETRA (2024)
Kateryna Melnyk, Lee Friedman, Dmytro Katrychuk, Oleg Komogortsev
Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters. Proc. ACM Comput. Graph. Interact. Tech. 7 (2) (2024)
Samantha Aziz, Dillon J. Lohr, Lee Friedman, Oleg Komogortsev
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. CoRR (2024)
Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters. CoRR (2023)
Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg Komogortsev
The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance. CoRR (2023)
Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series. CoRR (2023)
Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev
Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals. CoRR (2022)
Dillon J. Lohr, Samantha Aziz, Lee Friedman, Oleg V. Komogortsev
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. CoRR (2022)
Lee Friedman, Hal Stern, Larry R. Price, Oleg V. Komogortsev
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance. CoRR (2020)
Lee Friedman, Hal S. Stern, Larry R. Price, Oleg V. Komogortsev
Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. Sensors 20 (16) (2020)
Lee Friedman, Oleg V. Komogortsev
Assessment of the Effectiveness of Seven Biometric Feature Normalization Techniques. IEEE Trans. Inf. Forensics Secur. 14 (10) (2019)
Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev
Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades. CoRR (2019)
Lee Friedman, Hal S. Stern, Vladyslav Prokopenko, Oleg V. Komogortsev
Relationship between Number of Subjects and Biometric Authentication Equal Error Rates. CoRR (2019)
Lee Friedman, Hal S. Stern, Oleg V. Komogortsev
The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER. CoRR (2019)
Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. CoRR (2019)
Evgeniy Abdulin, Lee Friedman, Oleg V. Komogortsev
Method to Detect Eye Position Noise from Video-Oculography when Detection of Pupil or Corneal Reflection Position Fails. CoRR (2017)
Ioannis Rigas, Lee Friedman, Oleg Komogortsev
A Study on the Extraction and Analysis of a Large Set of Eye Movement Features during Reading. CoRR (2017)
Lee Friedman, Oleg Komogortsev
Synthetic Database for Evaluation of General, Fundamental Biometric Principles. CoRR (2017)
Lee Friedman, Ioannis Rigas, Mark S. Nixon, Oleg V. Komogortsev
Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases. CoRR (2016)
Lee Friedman, Jessica A. Turner, Hal S. Stern, Daniel H. Mathalon, Liv C. Trondsen, Steven G. Potkin
Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls. NeuroImage 40 (3) (2008)
Lee Friedman, Gary H. Glover, Diana Krenz, Vince Magnotta
Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization. NeuroImage 32 (4) (2006)
Vincent Magnotta, Lee Friedman
Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study. J. Digit. Imaging 19 (2) (2006)
Lee Friedman, Gary H. Glover, The FBIRN Consortium
Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differences. NeuroImage 33 (2) (2006)
David Dean, Peter Buckley, Fred L. Bookstein, Janardhan Kamath, David Kwon, Lee Friedman, Christine Lys
Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles. VBC (1996)