2020
Lohr, D., Griffith, H., Aziz, S., & Komogortsev, O. (2020). A Metric Learning Approach to Eye Movement Biometrics. 2020 IEEE International Joint Conference on Biometrics (IJCB). (To Appear)
Griffith, H., Lohr, D., Abdulin, E., & Komogortsev, O. (2020). GazeBase: A Large-Scale, Multi-Stimulus, Longitudinal Eye Movement Dataset. arXiv:2009.06171 [cs.HC] (Link) (PDF)
Karpov, A., Liberman, J., Lohr, D., & Komogortsev, O. (2020). Parallel Oculomotor Plant Mathematical Model for Large Scale Eye Movement Simulation. arXiv:2007.09884 [cs.HC] (Link) (PDF)
Lohr, D., Aziz, S., & Komogortsev, O. (2020). Eye Movement Biometrics Using a New Dataset Collected in Virtual Reality. In ACM Symposium on Eye Tracking Research and Applications (ETRA '20 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 40, 1--3. DOI:10.1145/3379157.3391420 (Link)
2019
Lohr, D., Friedman, L., & Komogortsev, O. (2019). Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. arXiv:1912.02083 [cs.HC] (Link) (PDF)
2018
Lohr, D., Berndt, S.-H., & Komogortsev, O. (2018). An implementation of eye movement-driven biometrics in virtual reality. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA '18), Warsaw, Poland. (Poster) (Link)
2017
Lohr, D. J., & Komogortsev, O. V. (2017). A Comparison of Smooth Pursuit- and Dwell-based Selection at Multiple Levels of Spatial Accuracy. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI '17), Denver, Colorado. (Poster) (Link)
2016
Lohr, D. J., Abdulin, E., & Komogortsev, O. V. (2016). Detecting the onset of eye fatigue in a live framework. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA '16), Charleston, South Carolina. (Link)