Research on multi-screen eye tracking and manipulation intent recognition

In the multi-screen human-computer interaction environment, users often need to obtain and process information between multiple devices, only through the mouse and keyboard operation is very inflexible, which greatly reduces the interaction efficiency. Eye-tracking can detect the user's operation intention by analyzing his gaze behavior, thus realizing the control of multiple screens. In this study, we propose a multi-algorithm fusion eye-tracking method to solve the problems of cumbersome operation and low efficiency in multi-screen scenarios. The experimental results demonstrate that the method can achieve accurate detection of user intention to manipulate in a multi-screen environment, with accuracy of 87.9%.