A visual field testing apparatus may comprise a display; a line of sight detection unit that detects a line of sight of a user; a visual recognition determination unit that carries out determination as to whether or not the user has visually recognized the target; a target display unit that causes a gazing target and a measurement target to be sequentially displayed at the display; and a visual field testing unit that carries out visual field testing by causing visual recognition determination to be carried out with respect to the measurement target by the visual recognition determination unit as the gazing target and the measurement target are sequentially displayed by the target display unit. The visual field testing unit may have a central scotoma possessor testing mode in which the gazing target is displayed at the display 13 for the eye opposite the eye being tested.

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.

System for integrally measuring clinical parameters of the visual function including a display unit (20) for representing a scene with a 3D object having variable characteristics such as virtual position and virtual volume of the 3D object within the scene; movement sensors (60) for detecting the user head position and distance from the display unit (20); tracking sensors (10) for detecting the user pupils position and pupillary distance; an interface (30) for the user interaction on the scene; processing means (42,44) for analysing the user response based on the data coming from sensors (60,10) and the interface (30), with the characteristics variations of the 3D object; and based on the estimation of a plurality of clinical parameters of the visual function related to binocularity, accommodation, ocular motility and visual perception.

System for integrally measuring clinical parameters of the visual function including a display unit (20) for representing a scene with a 3D object having variable characteristics such as virtual position and virtual volume of the 3D object within the scene; movement sensors (60) for detecting the user head position and distance from the display unit (20); tracking sensors (10) for detecting the user pupils position and pupillary distance; an interface (30) for the user interaction on the scene; processing means (42,44) for analysing the user response based on the data coming from sensors (60,10) and the interface (30), with the characteristics variations of the 3D object; and based on the estimation of a plurality of clinical parameters of the visual function related to binocularity, accommodation, ocular motility and visual perception.

The present specification describes methods and systems for modifying a media, such as Virtual Reality, Augmented Reality, or Mixed Reality (VR/AR/MxR) media based on a vision profile and a target application. In embodiments of the specification, a Sensory Data Exchange (SDE) is created that enables identification of various vision profiles for users and user groups. The SDE may be utilized to modify one or more media in accordance with each type of user and/or user group.

The present specification describes methods and systems for modifying a media, such as Virtual Reality, Augmented Reality, or Mixed Reality (VR/AR/MxR) media based on a vision profile and a target application. In embodiments of the specification, a Sensory Data Exchange (SDE) is created that enables identification of various vision profiles for users and user groups. The SDE may be utilized to modify one or more media in accordance with each type of user and/or user group.

The invention relates to an examination device (1), a method for an automated examination of at least one eye (4, 4′) of a person, a computer program product and the various uses of the examination device (1).

An apparatus for vision testing comprises a visual test unit (VTU) configured to receive a patients face and perform the vision test on the patient. The VTU includes an internal display configured to generate a light stimulus and a gaze sensor configured to track the eye of the patient. In one aspect, a plurality of VTUs form a system controllable by a common technician to concurrently administer vision tests on different patients. In another aspect, the gaze sensor comprises a camera configured to capture a video of the patients eye displayed to the technician. In another aspect, the VTU is configured to pause testing upon detection of an adverse testing condition such as excessive head tilt or a closed eye. In another aspect, the test display comprises an array of LEDs and a perforated opaque screen to provide sufficient luminance. In another aspect, the VTU comprises a head mounted portion with a pair of focusing lenses and a mirror arranged to transmit light from the test display to the eyepiece and from the eyepiece to the gaze sensor. In another aspect, the VTU includes a patient input device configured to receive input from the patient to signal observance of a light stimulus in the visual field around a fixation point, and the VTU is configured to monitor the patients gaze and pause the test upon detecting that the patients gaze has moved from the fixation point.

An apparatus for vision testing comprises a visual test unit (VTU) configured to receive a patients face and perform the vision test on the patient. The VTU includes an internal display configured to generate a light stimulus and a gaze sensor configured to track the eye of the patient. In one aspect, a plurality of VTUs form a system controllable by a common technician to concurrently administer vision tests on different patients. In another aspect, the gaze sensor comprises a camera configured to capture a video of the patients eye displayed to the technician. In another aspect, the VTU is configured to pause testing upon detection of an adverse testing condition such as excessive head tilt or a closed eye. In another aspect, the test display comprises an array of LEDs and a perforated opaque screen to provide sufficient luminance. In another aspect, the VTU comprises a head mounted portion with a pair of focusing lenses and a mirror arranged to transmit light from the test display to the eyepiece and from the eyepiece to the gaze sensor. In another aspect, the VTU includes a patient input device configured to receive input from the patient to signal observance of a light stimulus in the visual field around a fixation point, and the VTU is configured to monitor the patients gaze and pause the test upon detecting that the patients gaze has moved from the fixation point.

Disclosed is a method for determining an eye parameter of a user of a display device, the eye parameter relating to a dioptric parameter of an ophthalmic lens to be provided to the user, the method including: a display device providing step, during which a binocular display device is provided to the user,—an image display step, during which an image is displayed to the user when using the display device; a display parameter modifying step, during which at least one parameter of the display device is modified so as to modify the virtual display distance of the perceived image, wherein the display parameter modifying step is repeated until image subjective quality of the perceived image is perceived by the user as optimal; and an eye parameter determining step during which an eye parameter is determined based on the parameter of the display device.