Augensteuerung

Augensteuerung, also known as eye tracking or gaze tracking, refers to the process of measuring and recording the point of gaze or direction of a person’s gaze. This technology monitors the movement and position of the eyes to determine where a person is looking. It is widely used in various fields, including human-computer interaction, psychology, marketing, and medical diagnostics.

The primary components of an eye-tracking system include cameras, sensors, and software algorithms. Infrared cameras capture high-resolution images of the eye, while infrared illumination helps to enhance contrast between the iris and surrounding tissues. The software processes these images to detect key features such as the pupil and corneal reflection, allowing for precise tracking of gaze direction.

Eye-tracking technology has numerous applications. In human-computer interaction, it enables intuitive control of devices through gaze alone, benefiting individuals with mobility impairments. In psychology and neuroscience, it provides insights into cognitive processes, attention patterns, and visual perception. Marketers utilize eye-tracking to analyze consumer behavior, assessing how people interact with advertisements or product displays. In medicine, it aids in diagnosing neurological disorders, such as paralysis or attention deficit disorders, by evaluating eye movement abnormalities.

Modern eye-tracking systems vary in accuracy and usability. Some rely on head-mounted displays (HMDs) for portable tracking, while others use remote systems with external cameras. Advances in machine learning have improved the reliability of gaze estimation, reducing errors and increasing adaptability to individual eye characteristics. Despite its benefits, challenges such as cost, calibration requirements, and privacy concerns remain considerations in widespread adoption.