The invention relates to a method of processing data representative of a person’s binocular motricity, the method comprising the following steps: stimulating the binocular motricity of a person by means of a binocular motricity stimulation device (21) configured to specifically stimulate saccades, vergences or a combination of both or of a reading test (22); physical stimuli in 3D real space seen with both eyes naturally (without artifices); acquiring the movement of the right eye (RE) and the left eye (LE) of a person (P) during said stimulation and, if applicable, a stimulation signal from the binocular motor stimulation device; the method comprising the following steps implemented in a processing unit (3); determination from the movement of the left eye (LE) and the right eye (RE), of an effective trajectory (Tr1) of the eyes in response to each stimulation, an effective trajectory corresponding to a saccade and/or a vergence movement of the eyes.

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 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).

In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.

In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.

A system to perform remote oculography includes light-occluding goggles configured to be worn by a patient. The light-occluding goggles include an infrared camera positioned to capture one or more first images of a first eye of the patient. The light-occluding goggles also include a display positioned such that it is viewable by a second eye of the patient. The display is configured to display a pattern for the patient to view. The light-occluding goggles also include a sensor configured to detect information regarding a position of a head of the patient. The system also includes a visible light camera configured to capture one or more second images of the patient as the patient wears the light-occluding goggles.

A system includes glasses for executing a process to correct the alignment of an eye if a misalignment condition is detected. The glasses include lens that change opacity as instructed by a processor. The system determines that an eye is not aligned correctly based on data captured by one or more sensors in the glasses. Data is captured periodically and compared to a baseline set of data. If a deviation is detected, then the appropriate lens is turned “ON” to shade the aligned eye, thereby forcing the misaligned eye to properly align itself.

A system includes glasses for executing a process to correct the alignment of an eye if a misalignment condition is detected. The glasses include lens that change opacity as instructed by a processor. The system determines that an eye is not aligned correctly based on data captured by one or more sensors in the glasses. Data is captured periodically and compared to a baseline set of data. If a deviation is detected, then the appropriate lens is turned “ON” to shade the aligned eye, thereby forcing the misaligned eye to properly align itself.

A panum's area measurement method includes: projecting a first parallax image of a spatial object to the left eye of a user under test, and projecting a second parallax image of the spatial object to the right eye of the user under test, the first parallax image comprising a first homologous point and the second parallax image comprising a second homologous point; adjusting a horizontal parallax amount between the first homologous point and the second homologous point until the user under test observes the spatial object producing a ghost; acquiring a parallax amount parameter Δn.sub.e; calculating a horizontal physical spacing Δx between the first homologous point and the second homologous point based on the parallax amount parameter Δn.sub.e; and calculating a panum's area range (μ.sub.in, μ.sub.out) of the user under test based on the horizontal physical spacing Δx.