Evaluating the Performance of Machine Learning Algorithms in Gaze Gesture Recognition Systems
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09663039.pdf?arnumber=9663039
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Translated Pattern-Based Eye-Writing Recognition Using Dilated Causal Convolution Network;IEEE Access;2024
2. Multi-player Gaming Application Based on Human Body Gesture Control;Lecture Notes in Networks and Systems;2024
3. Study on the brightness and graphical display object directions of the Single-Gaze-Gesture user interface;Displays;2023-12
4. The ensemble of neural networks to track eye movements;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19
5. Eye Tracking, Usability, and User Experience: A Systematic Review;International Journal of Human–Computer Interaction;2023-06-18
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