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 uses cameras and machine learning to detect where a user is looking on a screen, translating gaze direction into cursor movement and selection commands without requiring hand or voice input.
For users with severe motor impairments such as ALS or spinal cord injuries, this technology provides a critical pathway to digital independence, and modern AI models continuously improve gaze prediction accuracy even in varied lighting conditions.
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