Human-computer interaction method based on eye movement tracking

Abstract

The invention provides a human-computer interaction method based on eye movement tracking, wherein five infrared source sets which face a computer operator and a camera with a built-in infrared filter are used, four infrared source sets are arranged at four corners of a computer display screen, and the other infrared source set is arranged surrounding a lens of the camera; the camera is arranged below the computer display screen and connected to a computer, wherein the lens of the camera faces the face of the operator. The human-computer interaction method comprises the steps of calibration, image capturing and detection, blink judgment, fixation point judgment and interaction instruction output. The human-computer interaction method based on eye movement tracking has the advantages that calibration is simple and portability is good; the number of users who the method is applicable to is increased due to detection of dark pupils; interference caused by physiological human eye tremors is overcome through smoothing; system accuracy is still high even if the head of the operator moves within a wide range; only one camera is used, so that cost is lower; processing speed is quite high, and real-time human-computer interaction can be realized.

Description

technical field [0001] The invention relates to the technical field of computer vision control, in particular to a human-computer interaction method based on eye movement tracking. Background technique [0002] In human-computer interaction, eye tracking plays a very important role. Eye tracking can be used as an interface connecting people and computing devices. Compared with mouse and keyboard, eye tracking interaction provides people with a more natural way of human-computer interaction. There are also many methods for estimating the direction of eye movement: light reflection method, potential electronic skin, and contact lenses, etc. These methods are classified into invasive or non-invasive methods, and non-invasive methods are more advantageous because Non-invasive methods are more comfortable to use. But there are still many unresolved issues in eye tracking research. The most common are its accuracy issues, limited head motion, robustness, and ease of calibration...

AI Technical Summary

Problems solved by technology

But there are still many unanswered questions in eye-tracking research

The most common are its accuracy issues, limited head motion, robustness, and ease of calibration

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