Eye Tracking Auto-Correction Using Domain Information-Reference-Cited by-同舟云学术

Eye Tracking Auto-Correction Using Domain Information

Published:2023 Issue: Volume: Page:373-391
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Asghari Parviz^ORCID,Schindler Maike^ORCID,Lilienthal Achim J.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35596-7_24

Reference26 articles.

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2. Baluja, S., Pomerleau, D.: Non-intrusive gaze tracking using artificial neural networks. In: Proceedings of the 6th International Conference on Neural Information Processing Systems, pp. 753–760. NIPS 1993, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1993). https://doi.org/10.5555/2987189.2987284

3. Carr, J.W., Pescuma, V.N., Furlan, M., Ktori, M., Crepaldi, D.: Algorithms for the automated correction of vertical drift in eye-tracking data. Behav. Res. Methods 54(1), 287–310 (2022)

4. Fahimi, R., Bruce, N.D.: On metrics for measuring scanpath similarity. Behav. Res. Methods 53(2), 609–628 (2021)

5. Fitts, P.M., Jones, R.E., Milton, J.L.: Eye movements of aircraft pilots during instrument-landing approaches. Aeronaut. Eng. Rev. 9(2), 1–6 (1950)

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