Abstract: A computer-implemented method for determining a refractive error of an eye of a person includes the following steps: a) generating input data containing a distance between the eye of the person and a visual stimulus displayed to the eye of the person and b) generating outcome data containing a refractive error of the eye of the person determined by evaluating the input data. A position of the entrance pupil of the eye of the person is considered when the refractive error of the eye of the person is determined. A computer program, a field device, a remote device, a determining device, a method for producing a geometrical model of a spectacle lens, and a method for producing a spectacle lens are also disclosed. The present disclosure provides a fast, easy, versatile, reliable, and accurate approach for determining a refractive error of an eye of a person.

Abstract: A spectacle lens has a central clear zone and one or more ring-shaped focusing structures, each ring-shaped focusing structure having a respective width and a surface-based fill factor being larger than 17% and equal to or lower than 70% for a respective width in a range of 0.6 mm to 0.7 mm.

Abstract: A processing device, a computer-implemented method, and a computer program for determining data related to a progression of refractive values of a person; and a system, a computer-implemented method, and a computer program for providing data related to a progression of refractive values are disclosed. The processing device receives data related to a person, including a refractive status of the person; age, gender, and ethnicity of the person; and a risk factor related to the person; and determines data related to the progression of refractive values deploying a machine learning algorithm, wherein the machine learning algorithm includes at least one prediction model for determining a relationship between the data related to the person and the progression of the refractive values of the person. By using the processing device, the system, the computer-implemented methods, and the computer programs the prediction of both myopia onset and myopia progression can be improved.

Abstract: A method, a computer program, and a device for determining at least one astigmatic effect of at least one eye of a person are disclosed, as well as a related method for producing at least one spectacle lens for the at least one eye of the person. The method for determining the astigmatic effect includes: a) displaying an image to an eye of the person, the image including a line with a plurality of sections, wherein an orientation of each section with respect to an optical axis of the image differs from each other, respectively; b) recording a reaction of the person to the image at at least one point in time; and c) determining at least one value for at least one astigmatic effect of at least one eye of the person by evaluating the at least one reaction of the person at the point in time.

Abstract: A method, a device, and a computer program product for determining a refractive error of an eye of a user are disclosed, as well as a method for producing a spectacle lens. The method for determining includes: displaying an image with a spatial modulation to the user; optionally, recording a reaction of the user to a variation of the spatial modulation over time; detecting a point in time at which a perception threshold of the user is reached; and determining the refractive error of the user from the spatial modulation, wherein the image contains a source image with several picture elements, wherein values for an image parameter are assigned to the picture elements, and wherein the spatial modulation is generated such that the values of the image parameter determine the values of a modulation parameter of the spatial modulation in the image.

Abstract: A method, a device, and a computer program product for determining a refractive error of an eye of a user are disclosed, as well as a method for producing a spectacle lens. The method for determining includes: displaying an image with a spatial modulation to the user; optionally, recording a reaction of the user to a variation of the spatial modulation over time; detecting a point in time at which a perception threshold of the user is reached; and determining the refractive error of the user from the spatial modulation, wherein the image contains a source image with several picture elements, wherein values for an image parameter are assigned to the picture elements, and wherein the spatial modulation is generated such that the values of the image parameter determine the values of a modulation parameter of the spatial modulation in the image.

Abstract: A method, a computer program, and a device for determining at least one astigmatic effect of at least one eye of a person are disclosed, as well as a related method for producing at least one spectacle lens for the at least one eye of the person. The method for determining the astigmatic effect includes: a) displaying an image to an eye of the person, the image including a line with a plurality of sections, wherein an orientation of each section with respect to an optical axis of the image differs from each other, respectively; b) recording a reaction of the person to the image at at least one point in time; and c) determining at least one value for at least one astigmatic effect of at least one eye of the person by evaluating the at least one reaction of the person at the point in time.

Abstract: A method, a device, and a computer program product for determining a refractive error of an eye of a user are disclosed, as well as a method for producing a spectacle lens. The method for determining includes: a) displaying an image with a spatial modulation to the user; b) optionally, recording a reaction of the user to a variation of the spatial modulation over time; c) detecting a point in time at which a perception threshold of the user is reached; and d) determining the refractive error of the user from the spatial modulation, wherein the image contains a source image with several picture elements, wherein values for an image parameter are assigned to the picture elements, and wherein the spatial modulation is generated such that the values of the image parameter determine the values of a modulation parameter of the spatial modulation in the image.

Abstract: Methods and apparatuses for joint determination of accommodation and vergence of at least one eye of a user are disclosed. The joint determination includes determining an accommodation of the eye of the user and ascertaining values for checking myopia of the eye by presenting a sign at a first distance in front of the eye to stimulate the accommodation of the eye; capturing an eye movement; ascertaining a refraction of the eye with the accommodation of the eye at the first distance; and joint determination of accommodation and vergence of the eye by ascertaining a change in the refraction of the eye with the accommodation of the eye at the first distance in relation to the accommodation of the eye at a second distance; and ascertaining the vergence of the eye from the eye movement of the eye with the accommodation of the eye at the first distance.

Abstract: Methods and apparatuses for joint determination of accommodation and vergence of at least one eye of a user are disclosed. The joint determination includes determining an accommodation of the eye of the user and ascertaining values for checking myopia of the eye by presenting a sign at a first distance in front of the eye to stimulate the accommodation of the eye; capturing an eye movement; ascertaining a refraction of the eye with the accommodation of the eye at the first distance; and joint determination of accommodation and vergence of the eye by ascertaining a change in the refraction of the eye with the accommodation of the eye at the first distance in relation to the accommodation of the eye at a second distance; and ascertaining the vergence of the eye from the eye movement of the eye with the accommodation of the eye at the first distance.

Abstract: A method, a device, and a computer program for determining at least one optical parameter of a spectacle lens, and a method for manufacturing the spectacle lens using the at least one optical parameter are disclosed. The optical parameter denotes a value for a property of the spectacle lens which is adjusted during manufacture of the spectacle lens to achieve an intended correction of ametropia of at least one eye of a user of the spectacle lens. The method includes: a) capturing at least one image of a user wearing the spectacle lens; and b) determining at least one optical parameter of the spectacle lens by image processing the at least one image, wherein the at least one image contains an eye portion including at least one eye and/or a face portion adjacent to at least one eye of a user of the spectacle lens.

Abstract: A method, a device, and a computer program for determining a refractive error of at least one eye of a user are disclosed, as well as a method for manufacturing a spectacle lens for the user. The method entails: displaying a periodic pattern on a screen, wherein a parameter of the periodic pattern includes at least one spatial frequency, wherein the parameter of the periodic pattern is varied; detecting a reaction of the user indicating that the user is able to perceive the periodic pattern; determining a point in time at which the user perceives the periodic pattern; and determining a value for the refractive error of the eye or eyes of the user from the periodic pattern at that point in time, wherein the value for the refractive error is determined from the at least one spatial frequency, determined at the point in time, of the periodic pattern.

Abstract: A method, a device, and a computer program for determining a refractive error of at least one eye of a user are disclosed, as well as a method for producing a spectacles lens for the user. The method includes: displaying at least one symbol on a screen, wherein at least one parameter of the symbol displayed on the screen is changed; detecting eye movement metrics of the eye of the user according to the symbol displayed on the screen; establishing a point in time at which a recognition threshold of the user is revealed for the symbol displayed on the screen from the eye movement metrics of the eye of the user; and determining a value for the refractive error of the eye of the user from the at least one parameter established at the point in time.

Abstract: A method, a device, and a computer program for determining at least one optical parameter of a spectacle lens, and a method for manufacturing the spectacle lens using the at least one optical parameter are disclosed. The optical parameter denotes a value for a property of the spectacle lens which is adjusted during manufacture of the spectacle lens to achieve an intended correction of ametropia of at least one eye of a user of the spectacle lens. The method includes: a) capturing at least one image of a user wearing the spectacle lens; and b) determining at least one optical parameter of the spectacle lens by image processing the at least one image, wherein the at least one image contains an eye portion including at least one eye and/or a face portion adjacent to at least one eye of a user of the spectacle lens.

Abstract: A method, an apparatus, and a computer program for determining a refractive error of an eye of a user are provided. The method for determining the refractive error of the eye of the user, wherein the eye of the user has a choroid, includes: ascertaining at least one value for a layer thickness of the choroid of the eye of the user over at least one region of the choroid; and determining a value for the change in the refractive error of the eye only from at least two values for the layer thickness of the choroid which were each ascertained at different times for the at least one region of the choroid, wherein the at least one region is selected from a nasal perifoveal region or a nasal parafoveal region.

Abstract: A method for optimizing an optical aid by way of automatic measurement of the subjective visual performance, a method for producing a correspondingly optimized optical aid, an apparatus for producing optical aids, a computer program having a program code for carrying out the optimization method, which program can be run on a processor, and a non-transitory storage medium comprising the computer program stored thereon are disclosed. The method for optimizing the optical aid includes the automatic determination of subjective visual acuity using machine learning.

Abstract: A device and computer program for determining the spherocylindrical refraction of an eye are disclosed. A component having adjustable optics is provided, the refractive power of which can be adjusted via a refractive power adjustment device. The spherocylindrical refraction is then determined from the adjustment of the refractive power adjustment device at different orientations of a typical direction of the optics or a typical direction of eye test characters.

Abstract: A method, an apparatus, and a computer program for determining a refractive error of an eye of a user are provided. The method for determining the refractive error of the eye of the user, wherein the eye of the user has a choroid, includes: ascertaining at least one value for a layer thickness of the choroid of the eye of the user over at least one region of the choroid; and determining a value for the change in the refractive error of the eye only from at least two values for the layer thickness of the choroid which were each ascertained at different times for the at least one region of the choroid, wherein the at least one region is selected from a nasal perifoveal region or a nasal parafoveal region.

Abstract: A method for optimizing an optical aid by way of automatic measurement of the subjective visual performance, a method for producing a correspondingly optimized optical aid, an apparatus for producing optical aids, a computer program having a program code for carrying out the optimization method, which program can be run on a processor, and a non-transitory storage medium comprising the computer program stored thereon are disclosed. The method for optimizing the optical aid includes the automatic determination of subjective visual acuity using machine learning.

Abstract: A component for a mobile computer device, such as a smartphone, can be secured to the housing of the mobile computer device. The component can deflect the light of a built-in light source of the mobile computer device with an optical element and optionally filter the same, or can provide its own light source to improve the option of measuring eccentric photorefraction using the mobile computer device.