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 gaze tracking AI uses cameras and machine learning to detect where a person is looking on a screen, translating eye movements into cursor control, text input, and device navigation without requiring hand or voice input.
For people with severe motor disabilities such as ALS, cerebral palsy, or spinal cord injuries, this technology provides a pathway to independent computer use, and modern AI models have dramatically improved accuracy and reduced the calibration time required to get started.
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