The eye-tracking

Eye tracking is a sensor technology that can detect a person’s presence and follow what they are looking at in real-time. The technology converts eye movements into a data stream that contains information such as pupil position, the gaze vector for each eye, and gaze point. Essentially, the technology decodes eye movements and translates them into insights that can be used in a wide range of applications or as an additional input modality.

How eye tracking works

Typically, an eye tracking system comprises one or more cameras, some light sources, and computing capabilities. Algorithms translate the camera feed into data points with the help of machine learning and advanced image processing.

How the human brain is capable of sorting through an avalanche of external stimuli—most of which never reach the human consciousness—to create a sense of awareness of the individual's surroundings.

UsIing a combination of artificial intelligence, mathematics, and a close examination of the eye movements of individuals as they were shown images of people's faces, researchers found that important clues are revealed in the eyes.

When people were shown clear images, their eye movements showed a distinct pattern that indicates they were aware of their surroundings. However, as the subjects were presented with progressively dimmer images of faces, the pattern of eye movement changed. Tracking these changes allowed researchers to discern whether the subjects actually perceived the face or not without asking them.

How the human brain is capable of sorting through an avalanche of external stimuli—most of which never reach the human consciousness—to create a sense of awareness of the individual's surroundings.

UsIing a combination of artificial intelligence, mathematics, and a close examination of the eye movements of individuals as they were shown images of people's faces, researchers found that important clues are revealed in the eyes.

When people were shown clear images, their eye movements showed a distinct pattern that indicates they were aware of their surroundings. However, as the subjects were presented with progressively dimmer images of faces, the pattern of eye movement changed. Tracking these changes allowed researchers to discern whether the subjects actually perceived the face or not without asking them.

The eye-tracking tool allowed researchers to explore the amorphous dividing line between consciousness and unconsciousness, a state most obvious as we awake from sleep. People become progressively more aware of their surroundings as slumber recedes, a process that is controlled in a region of the brain known as the thalamus.

They found that when people awake the thalamus discharges a brief pulse which jumpstarts the transition to consciousness. However, this activity is only a first step in a series of actions throughout the brain that leads to full awareness, they found. For instance, that initial pulse from the thalamus may fail to activate other neural networks, keeping the individual unconscious of most surrounding stimuli. However, the pulse can also activate neurons involved in processing visual cues in the frontal cortex, which in turn amplifies circuits involved in arousal and attention. At the same time, signals irrelevant to the event are turned off. tool allowed researchers to explore the amorphous dividing line between consciousness and unconsciousness, a state most obvious as we awake from sleep. People become progressively more aware of their surroundings as slumber recedes, a process that is controlled in a region of the brain known as the thalamus.

They found that when people awake the thalamus discharges a brief pulse which jumpstarts the transition to consciousness. However, this activity is only a first step in a series of actions throughout the brain that leads to full awareness, they found. For instance, that initial pulse from the thalamus may fail to activate other neural networks, keeping the individual unconscious of most surrounding stimuli. However, the pulse can also activate neurons involved in processing visual cues in the frontal cortex, which in turn amplifies circuits involved in arousal and attention. At the same time, signals irrelevant to the event are turned off.

Thanks:

Cecile G. Tamura