A Human-Computer Interaction Method Based on Eye Tracking

Abstract

A human-computer interaction method based on eye-tracking, including five sets of infrared light sources facing the computer operator and a camera with built-in infrared filters, four sets of infrared light sources are set at the four corners of the computer display screen, and the other A group of infrared light sources is arranged around the camera lens; the camera is arranged under the computer display screen and connected to the computer, and the camera lens faces the face of the operator; including the steps of calibration, the steps of capturing and detecting images, the steps of judging blinking, and judging the changes of gaze points steps and steps for outputting interactive instructions. The beneficial effects of the present invention are as follows: 1. Simple calibration and good transplantability; 2. By detecting the dark pupil, the number of applicable users is increased; 3. Through smoothing processing, the interference caused by the physiological vibration of the human eye is overcome; 4. The operation 5. Using a single camera, the cost is relatively low; 6. The processing speed is fast, which can meet real-time human-computer interaction.

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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