Abstract: A method of discovering relationships between eye movements and cognitive and/or emotional responses of a user starts by engaging the user in a task having visual stimuli via an electronic display configured to elicit a predicted specific cognitive and/or emotional response from the user. The visual stimuli are varied to elicit the predicted specific cognitive and/or emotional response from the user. A camera films an eye of the user. A first time series of eye movements is recorded by the camera. A computing device compares the eye movements from the first time series and the tasks and identifies at least one relationship between eye movements that correlate to the actual specific cognitive and/or emotional response.

Abstract: A method of measuring non-invasive ocular metrics is used to diagnose a mental health state of a patient. The method includes presenting a stimuli on an electronic display screen and recording a video of at least one eye of a patient by a video camera. The stimuli is configured to elicit a change in an ocular signal of the patient's eye. Software processes image frames of the video through a series of optimized algorithms configured to isolate and quantify the at least one ocular signal by applying an image mask isolating components. An algorithm estimates a probability of a mental health state based on the change in the at least one ocular signal. The estimated mental health state can be shown to the patient or to a mental health professional.

Abstract: A method of assessing operational risk based upon ocular information of a subject includes providing a video camera recording a close-up view of a subject's eye. The ocular information is processed to identify changes in ocular signals of the subject through the use of convolutional neural networks. Changes in ocular signals are evaluated from the convolutional neural networks by a machine learning algorithm. A duty fitness result is determined for the subject where the duty fitness result is either fit for duty, unfit for duty or more information needed. The results can then be displayed to the subject and/or to a supervisor.