A Comparative Analysis of Eye Movement and Gaze Tracking Algorithms
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7711-6_23
Reference12 articles.
1. Mao, Y., He, Y., Liu, L., Chen, X.: Disease classification based on eye movement features with decision tree and random forest (2020). https://doi.org/10.3389/fnins.2020.00798
2. Khan, A.R., Khosravi, S., Hussain, S., Ghannam, R., Zoha, A., Imran, M.A.: EXECUTE: exploring eye tracking to support E-learning. In: 2022 IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, pp. 670–676 (2022). https://doi.org/10.1109/EDUCON52537.2022.9766506
3. Valtakari, N.V., Hooge, I.T., Viktorsson, C., Nyström, P., Falck-Ytter, T., Hessels, R.S.: Eye tracking in human interaction. In: Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction (2020)
4. Papoutsaki, A., Sangkloy, P., Laskey, J., Daskalova, N., Huang, J., Hays, J.: Webgazer: scalable webcam eye tracking using user interactions. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI). AAAI (2016)
5. Gardony, A.L., Lindeman, R.W., Brunyé, T.T.: Eye-tracking for human-centered mixed reality: promises and challenges. In: Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) (2020)
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