Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.

Abstract: Provided is a portable, hand-held, self-powered, self-calibrated, easy-to-use “iCOBRA” system, a neural/neurological assessment tool for both operational decision-making in military, aerospace, sports, and other high-performance settings, and to assist in diagnostics in medical practice. The system harnesses multimodal 3D imaging technologies for robust, calibration free, head and eye tracking to allow for visual, vestibular, and oculomotor assessment of human neural health and performance.

Abstract: Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.