What is Eye Tracking?

Definition of Eye Tracking

Eye Tracking can track the user's eye movement.

Eye tracking is a technology that detects people's eye movements and tracks their gaze positions.

Through eye tracking, we can record the position and size of pupils, the direction of gaze, and blinking behavior at every moment. This information deepens our understanding of human behavior, which can be applied in various fileds to promote technical development and inheritance.

Further reading: Ganzin's Eye Tracking Solutions

Further reading:
Ganzin's Eye Tracking Solutions

Eye Movements Can Reflect People's
Intentions and Decision-Making Processes

Eye Tracking can us an insight into the human behavior.

As the well-known saying goes, "The eyes are the windows to the soul". Eyes, escepically its' movment can reflect people's intentions and information processing underlying their behaviors.

Due to the physiological structure of the eyeball, at any given moment, people can only see a small part of the environment clearly. Therefore, it is necessary to continuously move the eyes in order to see the details of all important areas in the environment. The clear world we perceive is gradually constructed through this process.

In this process, the way our eyes moved, such as the direction of the eye movment, the duration of the gaze stays in a location, reflects not only the guidance of the environment context but the intentions and decision-making processes also.

Further reading: Exploring the Applications of Eye Tracking.

Further reading:
Exploring the Applications of Eye Tracking.

How Does Eye Tracking Work?

By Image processing and machine learning, Eye traking device can estimated the user's eye movement based on the user's eye image.

Eye tracking devices typically includes multiple infrared light sources and infrared cameras.

The infrared light sources illuminate the user's eyes, and the infrared cameras receive the reflected infrared light. By filtering out the interference of visible light, clear images of the user's eyes are obtained. Through image processing and machine learning techniques, the user's eye position and the gaze positon can be estimated from the eye images obtained.