Faculty Profile for Dr. Lee Friedman

Selected Scholarly/Creative Work

• Friedman, L., Nixon, M., & Komogortsev, O. (2017). Method to assess the temporal persistence of potential biometric features: Application to oculomotor, gait, face and brain structure databases. PloS One.
• Friedman, L., Prokopenko, V., Djanian, S., Katrychuk, D., & Komogortsev, O. (2023). Factors affecting inter-rater agreement in human classification of eye movements: a comparison of three datasets. Behavior Research Methods, 55(1), 417–427.
• Lohr, D., Aziz, S. D., Friedman, L., & Komogortsev, O. (2023). GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. Scientific Data, 10(1). Retrieved from https://www.nature.com/articles/s41597-023-02075-5
• Raju, M. H., Friedman, L., Bouman, T., & Komogortsev, O. (2023). Filtering eye-tracking data from an EyeLink 1000: Comparing heuristic, Savitzky-Golay, IIR and FIR digital filters. Journal of Eye Movement Research, 14(3). Retrieved from https://bop.unibe.ch/JEMR/article/view/9888
• Raju, M. H., Friedman, L., Bouman, T., & Komogortsev, O. (2023). Determining which sine wave frequencies correspond to signal and which correspond to noise in eye-tracking time-series. Journal of Eye Movement Research, 14(3). Retrieved from https://bop.unibe.ch/JEMR/article/view/9887