Abstract: A method and apparatus for detecting the alertness of an equipment operator by displaying a moving icon, and asking the operator to track the movements of the icon, either by following it with the eyes in a head mounted display, or by following it with a finger on a touch screen. The operator's performance can be measured by tracking the gaze of the operator's eyes, or by tracking the operator's finger movements. The performance of the operator can be compared to that particular person's history of test results, or to a data base of test results of other operators. The characteristics of the icon can be varied, and distractions can be provided on the display or screen. Control of the display or screen, tracking of the operator's eyes or finger, and analysis of the test results, can all be performed by a computer.

Abstract: A method and apparatus for detecting a reduction in cerebral function of an athlete, indicating the incidence of a brain concussion, by displaying a moving icon on a screen, and asking the athlete to track the movements of the icon, by following it either with the eyes or by touching a touch screen. The icon can be displayed on a device fixedly positioned relative to the head of the athlete, or on an interactive touch screen display. The athlete's performance is tested in real time, soon after the possible incidence of a concussion. The performance of the athlete can be compared to that particular person's history of test results, or to a data base of test results of other test subjects. Control of the display, tracking of the athlete's gaze or touch, and analysis of the test results, can all be performed by a computer.

Abstract: A system for testing and quantifying visual field and other visual function information in a head-mounted virtual reality environment, utilizing a directed image formation device for scanning of a flickering image for display to the test subject. A method and an apparatus are also provided for utilizing a central neural network and a central data bank to perform automatic interpretation of the visual function test parameters obtained in a plurality of visual field testing systems, for a plurality of patients, with control and response signals being transmitted via the Internet. The data produced by the testing systems are automatically analyzed and compared with patterns on which the neural network was previously trained, and clinical diagnoses for pathological conditions are thereby suggested to the respective clinician for each patient.