Automated impairment detection system and method

A system comprising:

• a display;
• a stimulus on the display;
• a controller, wherein the controller is programmed to move the stimulus about the display;
• one or more sensors, wherein the one or more sensors track eye movements and pupil size of a user due to movement of the stimulus or light conditions;
• a dataset of impaired and sober individuals;
• machine learning algorithms that are trained with the dataset of impaired and sober individuals;
• a processor programmed to use the machine learning algorithms to analyze the eye movements and pupil size data;
• an algorithm to determine if the user is following instructions during a testing process to determine if the user is being a non-compliant user;
• and
• wherein the processor is programmed to notify a test administrator if the algorithm detects that the user is purposefully not following instructions during a testing process.

A system comprising:

• a display;
• a stimulus on the display;
• a controller, wherein the controller is programmed to move the stimulus about the display;
• one or more sensors, wherein the one or more sensors track eye movements and pupil size of a user due to movement of the stimulus or light conditions;
• a dataset of impaired and sober individuals;
• machine learning algorithms that are trained with the dataset of impaired and sober individuals;
• a processor programmed to use the machine learning algorithms to analyze the eye movements and pupil size data;
• and
• a random number generator, wherein the random number generator determines a location of the stimulus on the display.