Vehicle driver impairment detector system and method

A method for detecting an impairment of an operator of a vehicle, the method comprising:

• providing an alcohol sensor, a camera, a start control, and a controller in electrical communication with the alcohol sensor, the camera, and the start control, the controller including a processor and a memory;
• determining that alcohol is detected using the alcohol sensor disposed within the vehicle;
• disabling the start control based on the detection of alcohol within the vehicle;
• performing a gaze nystagmus assessment of the operator using the camera within the vehicle and using a display assessment using a display in the vehicle by tracking an eye movement of the operator and recording gaze samples over time during the eye movement, wherein the gaze samples include horizontal positions of the eyes during the eye movement of the operator at time intervals;
• transforming the gaze samples by deriving the horizontal positions of the eyes twice to determine a velocity and an acceleration at each time interval;
• estimating a Gaussian Mixture Model using the derivatives of the horizontal positions of the eyes to determine if there are micro eye movements during the time intervals and to determine an amplitude and frequency of the micro eye movements at the time intervals;
• determining that the operator is not impaired based on the gaze nystagmus by determining if there are micro eye movements during the time intervals during the eye movement, determine if there are micro eye movements during the time intervals at a maximum horizontal eye position, and determine if there are micro eye movements during the time intervals prior to forty-five degrees from a center during eye movement;
• and
• enabling the start control when the operator is not impaired.

A system for detecting an impairment of an operator of a vehicle, the system comprising:

• an alcohol sensor;
• a camera;
• a display on the vehicle;
• a start control;
• and
• a controller in electrical communication with the alcohol sensor, the camera, the display, and the start control, the controller including a processor and a memory, the memory including instructions such that the processor is programmed to:
• determine that alcohol is detected using the alcohol sensor;
• disable the start control based on the detection of alcohol;
• perform a gaze nystagmus assessment of the operator including displaying a graphic on the display, instructing the operator to follow the graphic on the display with their eyes, and tracking an eye movement using the camera to record gaze samples over time intervals;
• transform the gaze samples by deriving horizontal positions of the eyes twice to determine a velocity and an acceleration at each time interval;
• estimate a Gaussian Mixture Model using the derivatives of the horizontal positions of the eyes to determine if there are micro eye movements during the time intervals;
• determine an amplitude and frequency of the micro eye movements at the time intervals when there are micro eye movements;
• compare the amplitude and frequency of the micro eye movements throughout a full eye movement, at a maximum eye position, and prior to a midpoint of the full eye movement to one or more thresholds;
• assign a score for each eye when the amplitude and frequency of the micro eye movements at the full eye movement, at the maximum eye position, and prior to the midpoint of the full eye movement exceeds the one or more thresholds;
• compare the score to an impairment score;
• and
• enable the start control when the score is less than the impairment score and disable the start control when the score is greater than or equal to the impairment score.