UEye: Insights on User Interface Design Using Eye Movement Visualizations
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37940-6_21
Reference26 articles.
1. Akshay, S., Lakshmipriya, V., Sikha, S.: Analysis of spatial eye gaze data for aiding gender identification. In: 2017 International Conference on Intelligent Computing and Control (I2C2), pp. 1–5. IEEE (2017)
2. Akshay, S., Vasanth, P.: A CNN based model for identification of the level of participation in virtual classrooms using eye movement features. In: 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1–6 (2022). https://doi.org/10.1109/CONECCT55679.2022.9865694
3. Al-Rahayfeh, A., Faezipour, M.: Eye tracking and head movement detection: a state-of-art survey. IEEE J. Transl. Eng. Health Med. 1, 2100212–2100212 (2013)
4. Advances in Intelligent Systems and Computing;J Amudha,2016
5. Balint, J.T., Arendt, D., Blaha, L.M.: Storyline visualizations of eye tracking of movie viewing. In: 2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS), pp. 35–39. IEEE (2016)
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