Embodiments of the present disclosure relate generally to a pupillary distance measuring device. The device is designed so that it can be used in a home-based or other non-professional/non-doctor office environment. The individual can use the device to check his/her pupillary distance measurement and then purchase eyeglasses online, without the need for a professional optician's assistance.

A computer program is disclosed for performing the following method: recording images of a response of a left pupil to a stimulus thereby resulting in a first set of sequential images; recording images of a response of a right pupil to the same stimulus at the same time as the first images were recorded, thereby resulting in a second set of sequential images; displaying on a display simultaneously the first set of images and the second set of image, wherein the two sets of images are synchronized, and wherein a center of the left pupil of each image from the first set of sequential images is aligned with a center of the right pupil from the second set of sequential images on the display.

A medical system and method are disclosed herein. The medical system, in an embodiment, has computer-readable instructions configured to be executed by one or more processors to cause at least one display device of a wearable device to generate a plurality of graphics. The graphics are configured to stimulate a voluntary eye function of at least one eye of a subject, to stimulate an involuntary eye function of the at least one eye, and to block a vision of the at least one eye. The instructions are also configured to cause at least one sensor of the wearable device to sense eye movement, head movement, and pupillary resizing. The instructions are also configured to cause processing of a plurality of sensed eye parameters and any sensed head movement parameters and to generate an examination output that at least indicates a plurality of the sensed eye parameters.

A method for estimating the state of a target person in consideration of an individual difference is provided. The method includes a step of estimating the state of the target person from second data that includes speed of change in pupil area of the target person using a statistical model where a parameter is estimated from first data that includes a plurality of sets of data on speed of change in pupil area of a plurality of persons and data on the states of the plurality of persons, and a step of outputting an estimation result of the state of the target person. Note that the statistical model is a hierarchical Bayesian model using ordered logistic regression where a linear predictor is the sum of an intercept, the product of a partial regression coefficient and an explanatory variable, and a parameter showing an individual difference.

A retinal camera system comprises an eyepiece lens disposed within a housing, a retinal image sensor, and a visual guidance indicator. The retinal image sensor is adapted to acquire a retinal image of an eye through the eyepiece lens. The visual guidance indicator is disposed in or on the housing peripherally about the eyepiece lens. The visual guidance indicator is positioned and oriented relative to the eyepiece lens to emit a visual cue along an optical path that does not pass through the eyepiece lens. The visual cue is adapted to facilitate alignment of the eye to the eyepiece lens.

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: obtaining a head image of a user with one or more dimension indicators, determining an eye region in the head image of the user and determining a pupillary distance of the user based on the one or more dimension indicators and the determined eye region. A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: receiving a request at a user terminal, recording a video of a user wearing a wearable device with the user terminal, determining a pupillary distance of the user based on the video and synchronously displaying the pupillary distance on the video of the user during recording. The wearable device may include one or more dimension indicators.

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: obtaining a head image of a user with one or more dimension indicators, determining an eye region in the head image of the user and determining a pupillary distance of the user based on the one or more dimension indicators and the determined eye region. A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: receiving a request at a user terminal, recording a video of a user wearing a wearable device with the user terminal, determining a pupillary distance of the user based on the video and synchronously displaying the pupillary distance on the video of the user during recording. The wearable device may include one or more dimension indicators.

A method of measuring working distance between a handheld digital device and eyes of a user, including capturing an image of at least eyes of a user via an onboard camera of the handheld digital device while the user is viewing a display of the handheld digital device and comparing an apparent angular size of a structure of the eyes or face of the user to a previously captured image of the structure of the eyes or the face that was taken in the presence of an object of known size. The method further includes calculating a working distance based on the apparent angular size of the structure of the eyes or the face; and saving at least the working distance to memory or reporting out the calculated working distance on the display. A handheld digital device programmed with an algorithm to perform the method is also included.

A method of operating a head mounted device includes capturing eye data with one or more sensors of the head mounted device. The one or more sensors are configured to sense an eyebox region. Operations of the head mounted device are adjusted in response to the eye data.

A system is disclosed for capturing diagnostic eye information. The system includes at least one energy source for directing electromagnetic energy into an eye of a subject, a plurality of perception units, each perception unit being associated with an associated position in the visual field of the eye, and each perception unit being adapted to capture refractive information from the eye responsive to the electromagnetic energy, and a processing system for determining refractive error information associated with each position of each perception unit in the visual field of the eye, and for determining refractive error composite information regarding the eye responsive to the refractive error information associated with each perception unit and independent of a direction of gaze of the eye.