Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Reference10 articles.
1. Zemblys, R., Niehorster, D.C., & Holmqvist, K. (2019). gazeNet: End-to-end eye-movement event detection with deep neural networks. Behavior Research Methods, 51(2), 840–864. https://doi.org/10.3758/s13428-018-1133-5
2. Larsson, L., Nystrom, M., & Stridh, M. (2013). Detection of saccades and postsaccadic oscillations in the presence of smooth pursuit. IEEE Transactions on Biomedical Engineering, 60(9), 2484–2493. https://doi.org/10.1109/TBME.2013.2258918
3. Friedman, L., Rigas, I., Abdulin, E., & Komogortsev, O.V. (2018). A novel evaluation of two related and two independent algorithms for eye movement classification during reading. Behavior Research Methods. https://doi.org/10.3758/s13428-018-1050-7.
4. Djanian, S. (2019). Eye Movement Classification Using Deep Learning, Master Thesis. Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7B,9220 Aalborg East, Denmark, https://projekter.aau.dk/projekter/da/studentthesis/eye-movement-classification-using-deep-learning(d61882dd-d297-48c5-bcc5-500f81dd78c3).html.
5. Nyström, M., & Holmqvist, K. (2010). An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data. Behavior Research Methods, 42(1), 188–204. https://doi.org/10.3758/brm.42.1.188
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