179 results about "Pupil diameter" patented technology

The invention discloses a pupil image recognition and disease change evaluation system based on image recognition, and relates to the technical field of monitoring analysis, and the system comprises the steps: obtaining the identity information and historical pupil data of a patient, and building a pupil dynamic database corresponding to the patient; alternately irradiating the eyes of the patient, and collecting a dynamic image sequence corresponding to a pupil light reflex area of the patient; performing spatial-temporal characteristic analysis on the dynamic image sequence, establishing a pupil diameter dynamic change curve, and generating a light reflection sensitivity index of the pupil of the patient according to the pupil diameter dynamic change curve; constructing a pupil dynamic evaluation model according to the pupil diameter dynamic change curve and the light reflex sensitivity index of the patient pupil, and outputting a pupil grade evaluation result based on the pupil dynamic evaluation model; comprehensive analysis is conducted on pupil grade evaluation results, analysis results are uploaded to an intensive care central system, and a grading early warning mechanism is triggered. The application has the effect of reducing the occurrence of illness state delay.

The invention discloses a naked-eye 3D display optimization method based on real-time eyeball tracking, and particularly relates to the technical field of naked-eye 3D display, and the method comprises the steps: capturing eyeball movement data in real time through a visual angle tracking sensor, and collecting illumination information in combination with an ambient light sensor; depth perception parameters are calculated based on pupil diameter variation and frequency, and a time sequence prediction type dynamic compensation coefficient is generated in combination with eyeball movement acceleration; acquiring an initial fixation point coordinate by using an improved spherical projection mapping model, and performing compensation coefficient correction to obtain a real-time coordinate; and finally, according to the real-time coordinates, dynamically adjusting the refractive index distribution of the nanostructure layer, the rotation angle of the polarizer, the focal length of the optical lens and other optical modulation parameters. The real-time distance is calculated through the binocular parallax algorithm, the depth mapping value is generated by combining the focal length of the camera and the baseline distance, the method can adapt to the illumination change and the user view angle, and the 3D display effect is optimized.

Apparatus, including a retaining structure (54), positioned near a subject's eye that has a pupil with a diameter, an optical combiner (52A) mounted on the structure before the eye, and a pixelated screen (60A) having an array of variably transparent pixels coating the combiner. There is an image capturing device (68A) mounted on the structure to capture an image of a scene viewed by the eye, and a projector (64A) is mounted on the structure to project at least one of a portion of the captured image and a stored image onto a section of the screen at a selected location thereof. A processor (26) renders the screen section at least partially opaque, selects the section location in response to a region of interest in the scene identified by analysis of the captured image, and determines a dimension of the section in response to the pupil diameter.

The invention relates to the technical field of optical elements, and discloses a fog display point diffusion optical system and a preparation method thereof, and the preparation method comprises the steps: obtaining user visual parameters, and building a visual behavior probability density model through kernel density estimation; designing the front surface of the lens based on the model, and generating an asymmetric defocus system coupled with a gazing habit; the rear surface of the lens is designed, and the distribution density of a fog display point diffusion unit is cooperatively modulated by the front surface defocusing amount, the fixation probability and the pupil diameter; and finally integrating front and rear surface design to form an optical lens body. According to the method, the asymmetric defocus field on the front surface and the fog display point diffusion field on the rear surface are subjected to collaborative design, and the defocus intensity and the contrast modulation intensity are accurately applied to the effective retina area of the user through the visual behavior probability density model; the technical problem that a traditional out-of-focus lens is fixed in signal and cannot adapt to individual staring habits and physiological parameter changes is solved.

The invention discloses an intelligent eye-protection illumination control system, and relates to the technical field of intelligent illumination control, and the system comprises a physiological analysis module which is used for calculating the pupil diameter physiological index of a user through a Daugman algorithm based on the preprocessed multi-source data, marking fatigue early warning, obtaining the fatigue state of the user, and obtaining the fatigue state of the user according to the long-time fixed region of the sight line of the user; performing sight line drop point processing and region division through a space coordinate mapping and clustering algorithm to generate a concentration region coordinate; the instruction generation module is used for fusing the scene initial light strategy and the focus area coordinate through a weighted fusion method, forming a light parameter in combination with a user vision parameter, and analyzing through an NSGA-II algorithm to obtain an illumination control instruction; the execution module is used for transmitting and executing based on the illumination control instruction through a wireless communication method, and monitoring visual physiological reaction of the user in real time to obtain feedback data; according to the invention, the environment change is predicted through the Markov model, the illumination is prevented from lagging behind the environment change, and the illumination foresight and adaptability are improved.

Systems, methods, and computer programs for eye tracking. In one embodiment, an eye tracking system includes a head-mounted device that takes measurements indicative of a position of the eye of a user. A head-mounted camera captures an image of the eye. A computer calculates the position of the eye based on the measurements, utilizes the position of the eye to crop the image around the pupil, and provides a cropped image to a video-based eye tracker. Optionally, the size of the cropped image is less than a third of the size of its respective uncropped image. Optionally, the head-mounted device includes one or more of the following: a photosensor-oculography device (PSOG), an electrooculography device (EOG), an electromyography device (EMG), an optical flow sensor, and a range sensor. Optionally, the image-based eye tracker calculates, based on the cropped image, at least one of pupil diameter and pupillary response.

The invention relates to the field of intelligent perception, and mainly relates to a user interaction intention perception method and system based on intelligent glasses, and the method comprises the steps: obtaining the abnormal degree of an eye jump drop point according to the main eye jump and the subsequent correction eye jump times after detecting that the current eye jump drop point of a user enters an interaction region of an interactive object; acquiring a pupil diameter change sequence after the main eye jump, and acquiring a pupil transient response score based on the pupil diameter change sequence; after a certain time from the falling point time of the main eye jump, acquiring a real-time double-variable contour ellipse area based on information of a plurality of latest fixation points, and acquiring a fixation stability score based on the real-time double-variable contour ellipse area; obtaining a real-time gaze residence time according to the falling point time of the main eye jump, and obtaining a residence time evaluation score based on the real-time gaze residence time; fusing the abnormal degree, the pupil instantaneous response score, the stability score and the evaluation score to obtain a dynamic interaction intention score of the user, and determining the interaction intention of the user based on the intention score. The perception accuracy of the user interaction intention is improved.

The invention relates to the field of optical lenses, in particular to an optical lens, a camera module and electronic equipment. Wherein the optical lens comprises a first lens group, a second lens group and a third lens group which are sequentially arranged from an object side to an image side, and the effective aperture DSn of at least one lens in the second lens group and the entrance pupil diameter EPD of the optical lens meet the condition that 2.5 > DSn / EPDgt; 1.1, the first lens, close to the object side, in the first lens group has negative focal power, and the Abbe number Vd1 of the first lens satisfies Vd1gt; 40). On the basis of the scheme, aberration can be greatly reduced, and the imaging quality can be improved.

The invention relates to the technical field of video communication, in particular to an intelligent AI glasses video call auxiliary system which comprises a visual adjustment module, a voice interaction module, a communication scheduling module, a posture recognition module and a feedback prompt module. According to the invention, by acquiring the eye movement track and the pupil diameter change, adjusting the image brightness and the color contrast in combination with the ambient light, relieving visual fatigue, enhancing the call comfort, analyzing the voice frequency band and matching the keywords, the accurate recognition of the operation intention is realized, the call response efficiency is improved, and the mistaken touch and delay are avoided; the call priority is judged according to the action state, the acceleration trend and the contact person weight, the task access accuracy is improved, the user intention is judged according to the head posture and the sight line trend, misoperation and repeated confirmation are avoided, interaction convenience is enhanced, meanwhile, the audio intensity and image prompt are regulated and controlled according to the task type and the prompt level, the multi-environment prompt requirement is met, and the user experience is improved. Information omission is reduced, and call experience is optimized.

The invention discloses an imaging lens group and a camera module, and the imaging lens group comprises a diaphragm, and sequentially comprises a first lens, a second lens, a third lens, a fourth lens and a fifth lens from an object side to an image side. A second lens element; a third lens element; a fourth lens element; a fifth lens element; and a sixth lens element. Wherein the refractive index of the third lens is nd3, the thickness of the third lens on the optical axis is CT3, the incident pupil diameter of the imaging lens group is EPD, and the following condition is satisfied: (nd3 * CT3) / EPD is more than 2.64 and less than 4.55.

An interpupillary distance estimation method is implementable by an electronic computer and includes the operations of acquiring at least one 2D image of a user's face, locating on the 2D image two reference points corresponding to the pupils of the user, and measuring the distance in pixels between the two reference points. The method further includes measuring the diameter in pixels of the user's iris, and calculating the pixel-to-millimetre conversion ratio between a predetermined iris diameter expressed in metric units and the iris diameter measured in pixels. The predetermined pupil diameter is set equal to the value of the iris diameter most widespread in the world population according to data contained in an anthropometric database. A first estimation of the interpupillary distance is determined by multiplying the distance in pixels between the two reference points corresponding to the user's pupils by the pixel-to-millimetre ratio calculated previously.

An automatic pupil diameter measurement and reflex detection device comprises a base, and the front side of the base is provided with a jaw supporting plate with the position capable of being adjusted up and down; a supporting frame is arranged on the rear side of the base, a main box is arranged on the top of the supporting frame, a window is arranged on the front side of the main box, and access holes are formed in the left and right sides of the main box; an angle adjusting mechanism with an adjustable front-back inclination angle is arranged in the main box body; a strength adjusting mechanism is arranged in the middle of the angle adjusting mechanism and comprises a grooved wheel shaft capable of rotating left and right, and a plurality of groups of optical filters which are distributed in the circumferential direction and are different in density are arranged at the front end of the grooved wheel shaft; an optical distributor and a multi-light-source module are arranged on the rear side of the angle adjusting mechanism. The multi-light-source module comprises a visible light source, an infrared light source and an ultraviolet light source. According to the invention, the problems of inflexible light source intensity and angle adjustment, non-uniform light distribution, incapability of coordinated use of light sources, low signal processing precision, poor patient comfort and the like of the existing equipment are effectively solved.

The invention discloses a perioperative cognitive impairment predicting and monitoring device, relates to the technical field of medical instruments, and aims to solve the problem of low accuracy of perioperative cognitive impairment predicting and monitoring for children in the prior art. An electroencephalogram signal acquisition module, an eye movement tracking module, a behavior interaction module, a physiological parameter monitoring module and a data processing and analyzing module are integrated in the head-mounted VR glasses; the electroencephalogram signal acquisition module is used for acquiring an electroencephalogram signal of a child, processing the electroencephalogram signal and then transmitting the electroencephalogram signal to the data processing and analyzing module; the eye movement tracking module is used for capturing motion images of eyeballs of children, obtaining fixation points, eye jump frequencies and pupil diameter change parameters of the eyeballs and transmitting the parameters to the data processing and analyzing module. The method has the advantage that the accuracy of predicting and monitoring the cognitive impairment in the perioperative period of children is improved.

The invention belongs to the technical field of AR glasses control, and particularly relates to an intelligent AR glasses control method, which comprises the following steps of: continuously sensing extreme environmental parameters before and during operation by acquiring high-voltage electromagnetic field frequency spectrum, ambient light and wind speed data of an electric power inspection area in real time; the problem that existing AR glasses do not consider environmental confrontation and have extreme scene function failure is solved. Meanwhile, electromagnetic field dominant frequency features are extracted through fast Fourier transform, AR glasses setting is adjusted in combination with ambient light statistics, jitter compensation is activated when the wind speed exceeds the standard, and therefore the glasses can effectively avoid signal interference and guarantee the stability of basic functions in electric power inspection scenes such as a high-intensity magnetic field and complex illumination. Meanwhile, by synchronously monitoring the pupil diameter change rate and the eyelid shielding proportion, the eye movement state is verified in real time in the whole routing inspection process, the accurate iris fixation track is generated after dynamic judgment and calibration triggering, and the accuracy of eye movement interaction under the complex operation posture can be ensured.

The embodiment of the invention provides an emotion detection method based on a multi-mode electroencephalogram eye movement signal. According to the method, a dual-path electroencephalogram modal encoder is used for determining time sequence characteristics of an electroencephalogram in a time domain path, determining frequency domain characteristics of an amplitude spectrum of the electroencephalogram in a frequency domain path, and obtaining dual-path time domain and frequency domain fused electroencephalogram characteristics based on the time sequence characteristics and the frequency domain characteristics; the dual-path eye movement modal encoder is used for determining pupil features of the eye movement data in the pupil diameter path, determining eye movement fixation features of the eye movement data in the fixation point path, and obtaining fused eye movement features based on the pupil features and the eye movement fixation features; and the multi-modal expert mixing module is used for dynamically performing modal calling on the multi-modal mixed characteristics which are subjected to modal alignment and are fused with the electroencephalogram characteristics and the eye movement characteristics, performing emotion detection by utilizing an expert with a modal corresponding to the multi-modal mixed characteristics, and outputting an emotion classification result. According to the embodiment of the invention, alignment is realized through multi-task pre-training, and the depressive emotion is accurately recognized.

The invention discloses a control method and system for improving the luminous efficiency of an LED lamp bead, and relates to the technical field of illumination control. Comprising a lighting effect improvement judgment module, a lamplight illumination adjustment module, a lamplight color temperature adjustment module and a real-time lamp bead lighting effect improvement module. By monitoring the pupil diameter and the real-time illumination information of the target user, personalized illumination adjustment can be achieved, the light brightness and the color temperature are adjusted according to the pupil diameter and the environment illumination condition of the target user, and the illumination effect better meeting user requirements and comfort is provided; according to the method, the pupil diameter and the current illumination information of the user can be obtained in real time, the light illumination and color temperature adjustment strategy is carried out according to the analysis result, the real-time feedback adjustment can ensure that the light effect is always kept within a comfortable range, more intelligent and personalized illumination experience is provided, and the light effect of the fluorescent powder-free LED lamp bead is improved.

The invention relates to the technical field of illumination control, in particular to a shop illumination control system with an automatic adjustment function and a control method thereof, and the method comprises the following steps: 1, data collection: collecting the illumination value E of the environment inside and outside a shop in real time through an ambient light sensor, obtaining customer flow distribution and pupil diameter D through a camera or an infrared sensor; the main control chip calculates the environment illumination deviation e and the deviation change rate delta e according to the environment illumination value and a preset scene illumination threshold value, and through fusion of environment light, the visitor flow rate and customer pupil diameter data, a PSO optimized fuzzy self-adaptive PID control and dynamic mode switching mechanism is adopted, so that the environment illumination deviation e and the deviation change rate delta e are calculated; dual optimization of shop illumination energy saving and display effect is realized, and the total energy consumption is reduced by 19% while the commodity exposure is ensured; color temperature and illumination are adjusted in real time in combination with pupil biological characteristic feedback, so that the visual fatigue index of customers is reduced by 28%, and the staying time is prolonged by 15 minutes.

The invention provides an interface display parameter adjustment method and device, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of artificial intelligence such as neural networks, visualization and automatic driving. The method comprises the following steps: determining a pupil diameter change rate according to an eye image obtained by shooting a riding object; according to the focal length of the camera shooting the eye image and the pupil diameter change rate, the eyeball focal length of the riding object is determined; determining a target visual range of the riding object on the display screen based on the eyeball focal length; and adjusting display parameters of interface contents presented by the display screen based on the target visual range. By applying the scheme, high-precision adjustment of the display parameters can be realized and personalized visual experience can be provided under the condition that manual operation or voice instruction issuing is not needed in the whole process, the efficiency and the convenience degree of obtaining information from the display screen in the riding process are improved, and the riding safety is improved.

The invention provides AR glasses supporting emotion monitoring, and relates to the technical field of augmented reality, the AR glasses supporting emotion monitoring comprise a glasses body, a two-way eye camera, an emotion recognition module and an image processing unit, and the image processing unit comprises an emotion recognition algorithm and an image processing unit. The emotion recognition accuracy is 95.8% (angry) and 92.3% (anxiety), and compared with a traditional single-mode scheme (only facial expression), the emotion recognition accuracy is improved by 22% (angry) and 41% (anxiety). The blink frequency detection precision reaches + / -0.5 Hz through dynamic frame rate adjustment of the two cameras, and the feature point detection rate in a rapid blink scene is 98% (only 85% of a traditional monocular). By combining HRV physiological features extracted by PPG signals, the system can recognize the coupling relation between pupil diameter changes and blinking frequency, and physiological blinking and emotional blinking are successfully distinguished.

The invention discloses a vehicle-mounted augmented reality head-up display (AR-HUD) self-adaptive display adjusting system and method based on retina perception. The system comprises a retina perception parameter extraction module, a driving instruction response analysis module, a display light environment acquisition analysis module and a dynamic adaptive display optimization module. The method comprises the following steps: acquiring a retina perception threshold value of a user through a contrast sensitivity test before driving, extracting objective physiological parameters such as pupil diameter, blinking rate and fixation stability in a preset time window during driving, and calculating a comprehensive fatigue index F; a display area brightness distribution model is established in combination with vehicle-mounted light sensor data, F-based adaptive adjustment and safe amplitude limiting are performed on the brightness and contrast of an AR-HUD image, it is ensured that key information reaches the lowest recognizable contrast threshold, and an over-bright area is restrained. Compared with a fixed display adjusting scheme, the information readability can be improved in different light environments, the subjective fatigue score can be reduced, and the vehicle-mounted augmented reality head-up display adaptability and watching comfort can be improved.

The invention discloses a peripheral defocus principle-based progressive multi-focus optical correction method, which belongs to the technical field of vision correction and comprises the following steps of S1, collecting eye data of teenagers; s2, eye biological parameters are extracted; s3, calculating the change relation between the center defocusing amount and the peripheral defocusing amount under the dynamic change of different field angles and different pupil diameters; s4, presetting a target center defocusing amount and a peripheral defocusing amount of the progressive multi-focus lens under different field angles and different pupil diameter dynamic changes, and calculating a difference value between the target center defocusing amount and the peripheral defocusing amount under different field angles and different pupil diameter dynamic changes of eyes as a to-be-adjusted defocusing amount; s5, calculating parameters of the progressive multi-focus lens; s6, constructing a progressive multi-focus lens model; s7, optimizing the progressive multi-focus lens model; s8, performing optical correction by using the optimized progressive multi-focus lens model; the traditional Chinese medicine composition has a treatment effect and a prevention and control effect at the same time.

The invention relates to the technical field of light atmosphere, and discloses a light atmosphere effect generation method, which comprises the following steps: generating an initial wave function according to an intensity field, deducing on the basis of a potential energy field to obtain a first wave function, performing intensity calculation and phase extraction from the first wave function to obtain a second wave function, updating the direction field based on the second wave function to obtain an updated direction field and an enhanced optical flow field; three core advantages of light atmosphere generation are realized, firstly, deep coupling of quantum optics and neurocognition is realized, real response of human eyes is simulated through a phase-sensitive light response model, and light atmosphere distribution is enabled to conform to quantum propagation rules and human visual cognition characteristics in combination with a cognition attention focusing mechanism of a DQN model; and 2, a dynamic self-adaptive mechanism runs through the whole process, and a light current coefficient and object motion data are adjusted in real time through the pupil diameter to feed back a new light flow field so as to ensure that the environment change can be quickly responded.

The invention belongs to the technical field of screen display, and particularly relates to a large-screen display system based on machine learning, which comprises an environment sensing module, a user sensing module, a calculation module, a compensation module and a display control module, the compensation module calculates the distance and the visual angle according to the positioning coordinate parameters, and when the distance and the visual angle exceed a preset distance threshold value and a preset visual angle threshold value, the initial brightness adjustment coefficient is compensated according to the distance, the visual angle and the pupil diameter parameters to generate a corrected brightness adjustment coefficient; according to the correction brightness adjustment coefficient, the distance between the viewer and the large screen and the viewing angle are considered, so that the large-screen display system can dynamically adjust the screen brightness more accurately according to the visual comfort level of the viewer and the influence of ambient light.

[Problem] To provide an eyewear capable of appropriately measuring a pupil diameter in consideration of a screen brightness. [Solution] This eyewear for pupil diameter measurement has a display screen and is for measuring the pupil diameter of a target person, the eyewear having: an image brightness acquisition part for acquiring a screen brightness which is information pertaining to the brightness of a display screen; an imaging part for acquiring a target person image which includes the pupil of the target person; and a pupil diameter calculation part for using the screen brightness and the target person image to obtain the pupil diameter of the target person after brightness correction.

The present invention is applicable to the field of pilot training technology and provides a ground-based vision training device for pilots that takes environmental and physiological factors into account. The device uses a computer system to rapidly simulate human visual characteristics, including: establishing a light source and brightness detector; obtaining a two-dimensional distributed brightness matrix of the scene; obtaining ambient brightness information of the external scene as perceived by the human eye, which affects optical aberrations by affecting pupil diameter; establishing an optical model of the human eye and obtaining a modulation transfer function; simulating the observation effect of the external scene after passing through the model in the frequency domain, using a GPU for accelerated processing; using an eye tracker to determine the coordinates of the pilot's gaze point, simulating the blur and depth of field characteristics of the peripheral vision; and finally performing image fusion to obtain a simulated image of the external scene after passing through the human eye. The present invention can improve the effectiveness of flight training or the accuracy of new aircraft cockpit evaluations, and provide pilots with a more realistic and intuitive flight visual experience during ground training.

The present invention discloses a method for predicting the reflection interference image of an illumination light source for surface defect detection of a highly reflective material, and belongs to the field of surface defect detection of curved surfaces of highly reflective metals, glass and other materials. The actual optical system is calibrated by the Zhang Zhengyou calibration method, an equivalent pinhole imaging model of the actual optical system is established according to the calibration parameters, an ideal single lens model is established on the basis of the pinhole imaging model, the entrance pupil diameter is calculated according to the depth of field size of the actual optical system, and then a single lens finite aperture ray tracing model with an entrance pupil size is established in the COMSOL Multiphysics software geometric optics module or similar functional software to simulate the imaging characteristics of the reflection interference image of the illumination light source when detecting surface defects of highly reflective materials under the actual optical system. The present invention can quickly obtain the imaging characteristics of the reflection interference image of the illumination light source when detecting defects at different curvature positions on a highly reflective surface, and then provide a theoretical basis for the design of the optical system for surface defect detection and the suppression of the reflection interference image of the light source.

The application discloses a pupil data fatigue detection method, system and device based on infrared camera, and relates to the technical field of target detection. Eye infrared image data of a testee is acquired; an image processing algorithm is used to process the eye infrared image data to obtain position data and edge data of a pupil; according to the position data and the edge data of the pupil, a pupil diameter position change data set and a pupil center position change data set in a T time period are obtained; the pupil diameter position change data set and the pupil center position change data set in the T time period are compared with a visual analogue scale of fatigue severity to obtain a pupil data fatigue detection result. The application improves the detection accuracy of the visual fatigue degree of the testee.

The present invention relates to a novel refractive intraocular lens (IOL) having a continuous range of view, extended depth of field (EDOF), capable of providing a continuous clear field of view for cataract patients when objects from far to near while minimizing halo and glare phenomena. The novel refractive EDOF continuous visual range artificial lens provided by the invention has the advantage that the extended focal depth can be provided, so that a patient can obtain continuous vision from a far position to a near position (35-40cm). The spherical aberration of each area on the front surface of the artificial lens is optimized, halo and glare are reduced to the maximum extent, the 60-degree refraction section of the fourth area is used for providing balanced energy distribution when the pupil diameter is large, the pupil is irrelevant to magnification distribution, and the lens magnification and the extension focal depth are not affected by the pupil size or light conditions. The partition modification of the intraocular lens can be used as a controllable switch, and the focal depth can be adjusted according to requirements, namely, the focal depth is adjusted from a far vision field to a near vision field or from the far vision field to a middle vision field.

The invention discloses a perception brightness characterization method and system based on display brightness and chromaticity distribution, and belongs to the technical field of information display. The method comprises the following steps: in a darkroom environment, recording perceived brightness rating and pupil diameter of a display picture by an observer through an eye tracker, and collecting brightness and chromaticity data of each pixel point of a screen at the same time; defining the equivalent brightness of the color stimulation as the gray brightness for generating the same pupil diameter by taking the white field gray stimulation as the reference; calculating a cornea flux density value based on a preset chromaticity-equivalent brightness mapping table in combination with the asymmetric space weighting model; establishing a function relationship between the density value and the perceived brightness, and further associating visual comfort rating; in practical application, the brightness is dynamically adjusted to a human eye comfort interval through real-time screen data analysis. According to the invention, the problem that the traditional method neglects the picture content difference is solved, and an adaptive brightness optimization strategy conforming to visual health is provided for the display equipment.

A method is provided for operating smart glasses including a virtual retinal display. In at least one method step, in particular a calibration step, a pupil size characteristic curve is generated in a user-specific manner in that a plurality of pupil sizes of a user eye are ascertained in the case of calibration images of different brightnesses generated by the virtual retinal display. In at least one further method step, at least one present pupil diameter of the user eye of the user of the smart glasses is determined using the pupil size characteristic curve.