The measurement system comprises a first display unit configured to represent a scene wherein at least one 2D/3D object has variable characteristics for instilling a visual response in the user, wherein said variable characteristics include at least the virtual position and virtual volume of the 2D/3D object within the scene; an interface configured to enable user interaction; processing means configured to analyze the user response based on the association of data from the interface with varying characteristics of the 2D/3D object represented in the display unit and estimating a plurality of clinical parameters of the user's visual function, and a second display unit also configured to represent a scene wherein the at least one 2D/3D object has variable characteristics for instilling a visual response in the user.

Embodiments of the present invention provide a novel and non-obvious method, system and computer program product for the selfie image sourced diagnosis of prospective eye disease. In an embodiment of the invention, a method for diagnosing prospective eye disease includes acquiring a selfie image with a portable communications device, recognizing a portion of the selfie image as an eye and comparing the portion of the selfie image to a pre-stored image of the eye in order to detect a threshold change from the pre-stored image to the selfie image. Thereafter, in response to detecting the threshold change, an alert is displayed in a display of the portable communications device. In this regard, optionally, the threshold change can be classified, and the classification correlated to a prospective ophthalmological diagnosis through the use of a classification table. Then, the prospective ophthalmological diagnosis can be included in the alert.

A method comprises: disposing a physical landmark upon an eye of a user; capturing at least one image of the eye of the user with an image sensor while the eye is illuminated, wherein the image includes an image of the physical landmark and at least one other point on the surface of the eye outside of the cornea; processing the at least one image to obtain at least one metric of the eye of the user; and determining, based on the at least one metric, at least one parameter of a daily use contact lens to be worn on the eye of the user.

A method comprises capturing at least one image of an eye of a user; processing the at least one image to obtain at least one metric of the eye, wherein the obtained at least one metric comprises at least one of: a sagittal depth of the eye of the user for at least one semi-meridian radial distance outside the cornea, a diameter of the cornea of the eye, a position of a center of the pupil or first Purkinje image of the eye, a radius of curvature of the cornea, or a position of the lids of the eye, and an aperture height between the lids; and determining, based on the at least one metric, at least one parameter of a first contact lens to be worn on the eye with display eyewear or a second contact lens to be worn on the eye without the display eyewear.

In accordance with one aspect of the present invention, an optical coherence tomography instrument comprises an eyepiece for receiving at least one eye of a user is provided; a light source that outputs light that is directed through the eyepiece into the user's eye; an interferometer configured to produce optical interference using light reflected from the user's eye; an optical detector disposed so as to detect said optical interference; and electronics coupled to the detector. The electronics can be configured to perform a risk assessment analysis based on optical coherence tomography measurements obtained using the interferometer. An output device can be electrically coupled to the electronics, and may be configured to output the risk assessment to the user through the output device. The optical coherence tomography instrument can be self-administered, and the eyepiece can be a monocular system or a binocular system.

Disclosed is a measurement method for determining a value of a visual correction need for near vision of an individual in a natural posture for near vision. A recognizing limit distance is determined so that the individual is able to recognize at least one predetermined symbol farther than the limit distance relatively to the individual and unable to recognize the at least one predetermined symbol closer to the individual than the limit distance. A portable medium displaying the predetermined symbol is displaced in front of the face and eyes of the individual to change a frontal distance between his/her eyes and the portable medium and in which when a recognizing limit distance is detected by the individual, the limit distance is measured and the value of the visual correction need is determined from the measured limit distance, wherein the visual correction need includes an accommodation compensation need.

An attentiveness determination device includes an image processing unit, a pupil distance calculation unit, a heterophoria detection unit, and an attentiveness determination unit. The image processing unit outputs first reference coordinates, second reference coordinates, first pupil coordinates, and second pupil coordinates. The pupil distance calculation unit calculates at least one position component of the first pupil coordinates with respect to the first reference coordinates and at least one position component of the second pupil coordinates with respect to the second reference coordinates. The heterophoria detection unit outputs a heterophoria detection result indicating a state of a first eyeball and a second eyeball. The attentiveness determination unit determines attentiveness of a person according to the heterophoria detection result.

A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment vary for different users and may change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

A method and a device are described for determining the optical center point of the lenses of spectacles to be manufactured for a spectacle wearer, whose head is imaged from the front using a digital camera (10), wherein the location of the pupils (16) and the interpupillary distance (20, 21) are determined with the aid of an image evaluation program to define the optical center point of the lenses. To provide advantageous conditions, it is proposed that the face of the spectacle wearer is imaged having a measurement frame (1) held on the head via a nose rest (4) and earpieces (3) and having a view oriented on a fixation point (13) fixedly associated with the camera (10), a front region of the measurement frame (1) has two lateral marking points (7) and a middle marking point (8) placed frontally in front of these lateral marking points (7), the angles of the viewing lines (15) in relation to the image plane are determined with the aid of the image evaluation program from the mutual distances and locations, which are measured in the facial image, of the pixels of the three marking points (7, 8) and the pupils (16), before the measurement points (19), which are corrected with respect to parallel viewing lines (17), are ascertained to determine the interpupillary distances (20, 21) in relation to the nose rest (4).

A system includes system housing, an eccentric radiation source, and a radiation sensor. The radiation produced by the eccentric radiation source can be collected by the radiation sensor to generate images of retinas for a patient. The system also includes a vision screening device connected with the eccentric radiation source and the radiation sensor via the system house that can control and synchronize actions for the eccentric radiation source and the radiation sensor. The vision screening device further analyzes the images generated by the radiation sensor via neural network algorithms to determine spherical error slopes, refractive errors, and recommendations for the patient.