Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A glare source device, a glare test system and methods that assesses visual performance and discomfort under varying levels of glare under varying lighting conditions is provided.

Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual field tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.

An eyesight training device for cognition correction which includes a display unit; a user input unit; and a controller for controlling the display unit to overlap a recognition restraining image, which restrains a visual recognition of a recognition image, with the recognition image and to gradually change a concentration value of the recognition restraining image, and for storing, as recognition level information, information corresponding to a concentration value of the recognition restraining image as of a time when a visibility change confirmation input is input through the user input unit of the visibility change confirmation input is input.

A vision testing device includes a light-occluding casing for administering vision tests. A viewing station is coupled to the light-occluding casing so a test subject can see a first digital display housed within the light-occluding casing. A second digital display is external to the light-occluding casing and is configured to receive touch-based input. One or more predetermined vision tests are displayed via the first digital display. The second digital display receives input corresponding to the vision test displayed via the first digital display. The second digital display includes response indicators that can be activated via a swiping motion on the second digital display, and a response is recorded as a result of the swiping motion. Each answer corresponding to a swiping motion is stored and output as a result of the vision test.

Methods, systems and devices for determining contrast sensitivity function in a subject without requiring perceptual report by the subject.

Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.

Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.

Method of calibrating a computerised colour vision test and method of testing colour vision on a computer The invention relates to a method of calibrating a colour vision test for testing colour vision under given ambient lighting conditions, which colour vision test is to be displayed on a colour display (12) of a computer (10) having at least one input interface (14), characterised by displaying a calibration test on the display (12) under given ambient lighting conditions to a person with normal colour vision before starting the colour vision test, displaying within at least one measuring region (31) of the display (12) a colour determination task requiring user input as a part of the calibration test, reading the user input through at least one input interface (14) of the computer (10), evaluating the read user input and determining as a result of the evaluation a display error resulting from a combination of a colour reproduction capability of the display (12) and an effect of the ambient lighting conditions on colour vision, and determining a modification to the colour vision test from the display error that corrects the colour vision test with respect to the display error. The invention further relates to a method of testing colour vision using the calibration method, as well as to a computer and computer program configured for performing such methods. The invention further relates to a colour discrimination test, to a colour identification test and to a combination of the two tests.