Eye gaze tracking converts where someone looks into precise cursor control and selection, enabling computer use and communication for people with paralysis or severe motor disabilities who retain eye movement. The AI component learns individual calibration patterns and adapts to drift over time, keeping accuracy high without constant recalibration.
Eye tracking AI interface control is a technology that uses cameras and machine learning algorithms to detect where a user is looking on a screen and translates that gaze data into navigation commands, cursor movement, or text input.
For individuals with severe motor disabilities who cannot use traditional input devices, AI-enhanced eye tracking systems offer a transformative path to digital independence by predicting intent, reducing dwell time requirements, and filtering out unintentional glances.
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