AI-Based Eye Tracking for Human-Computer Interaction

被引:0
|
作者
Crespo, David Sancho [1 ,2 ]
Yu, Xinrui [1 ]
Saniie, Jafar [1 ]
机构
[1] Illinois Inst Technol, Dept Elect & Comp Engn, Embedded Comp & Signal Proc ECASP Res Lab, Chicago, IL 60616 USA
[2] Univ Politecn Madrid, ETSI Ind, Madrid, Spain
关键词
human-computer interaction; eye tracker; gaze vector; artificial intelligence; MediaPipe; computer mouse;
D O I
10.1109/eIT60633.2024.10609928
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Human-computer interaction (HCI) is a field that has grown enormously in importance in recent times, with the spread of the personal computer. However, HCI devices have had little evolution since their first designs. Prolonged use of the mouse can cause injury or permanent damage to the hands and wrists. So, this paper proposes an alternative to the conventional mouse that does not require the use of hands and works only with a webcam. A program has been developed that performs all the functions of the mouse based on the image of the user's face captured by the camera. The cursor moves to the position of the screen where the user is looking at in real time, while the rest of the functionalities such as clicks and scrolling are controlled with facial commands, such as winking or tilting the head. To implement these functions, several tools based on artificial intelligence have been used, such as a facial landmark detector, a gaze vector estimator, and a fully connected multilayer neural network.
引用
收藏
页码:241 / 246
页数:6
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