16 results about "Blindness" patented technology

This invention relates to the field of flight vision assessment technology, and discloses a pilot change blindness assessment system and method based on deep learning. The system includes: a data acquisition module, which acquires and aligns cockpit display video sequences and pilot eye movement trajectory sequences to obtain a set of semantically relevant regions; a change anchor point extraction module, which extracts image frames before and after the change and generates a change anchor point mask; a change region determination module, which determines a set of change target regions and a set of change neighborhoods; a gaze sequence construction module, which determines event-level gaze sequences and change contact ratios; a closed-loop feature determination module, which determines change registration closed-loop features; a mismatch determination module, which determines eye movement registration features, image-side change features, and change registration mismatch; and a blindness assessment output module, which outputs a single-event change blindness assessment value, a change blindness level, and an overall change blindness assessment value for the entire flight mission. This invention achieves automated and quantitative assessment of the pilot's change blindness state.

A virtual eye test for assessing night blindness can be conducted in a virtual reality (VR) environment. The test utilizes an electronic device equipped with a head-mounted display (HMD) and a camera. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. A plurality of visual scenarios, each corresponding to a different lighting condition, are simulated within the VR interface. Using the camera, the device tracks user interactions and responses to visual stimuli presented in these various lighting scenarios. Night blindness is measured based on the tracked user interactions and responses, providing a comprehensive assessment of visual performance under different low-light conditions in a controlled, immersive environment.

The invention discloses a cortex visual prosthesis control method and system based on reinforcement learning and behavior feedback, and the method comprises the steps: obtaining a visual image of an external environment, and extracting a feature vector of the visual image; inputting the feature vector into a reinforcement learning environment to generate an electrical stimulation pulse sequence corresponding to a plurality of microelectrode channels; applying the sequence of electrical stimulation pulses to a microelectrode array implanted in the visual cortex of a patient to induce light magical perception; behavior feedback generated when the patient executes a visual recognition task based on the light magical visual perception is obtained; and updating parameters of the reinforcement learning environment based on the behavior feedback to form closed-loop optimization. The stimulation strategy can be evolved on line, the cortical function recombination state of an individual caused by long-term blindness is automatically adapted, the morphological drift of light magical vision along with time can be effectively dealt with, and therefore the stability and long-term availability of artificial visual perception are remarkably improved.

Aspects of the disclosure relate to compositions, nucleic acids, vectors, viruses, and methods useful for treating hearing loss and / or blindness, for example, Usher Syndrome type IF. The present disclosure provides isolated nucleic acids, vectors, and rAAV.9.PHP.B comprising a transgene encoding a mini-PCDH15, and methods of treating hearing loss using the same. The present disclosure also provides a gRNA associated with a base editor to correct one or more mutations in PCDH15 for treating hearing loss and / or vision loss.

This invention provides a myopia screening device. The first end of the housing is designated as the detection end for testing the subject's eyes. A visual target screen, a screening camera, and an optical path assembly are all housed within the housing. The visual target screen is located on one side wall of the housing, the optical path assembly is positioned between the detection end and the visual target screen, and the screening camera is located at the second end of the housing. The screening camera captures a light and shadow image of the subject's pupil. A processor processes and analyzes the light and shadow image captured by the screening camera. An input device communicates with the processor and inputs the image seen by the subject on the visual target screen into the processor. This invention enables not only refractive error testing but also visual acuity testing and color blindness / color weakness testing. Furthermore, this invention can estimate the subject's visual acuity based on the refractive error test results, generate a corresponding estimated visual target based on the estimated visual acuity, and quickly complete the visual acuity test, effectively shortening the visual acuity screening time.

The invention provides a model training method and device, a visual evaluation method, an aircraft and a medium, and relates to the technical field of image processing, and the method comprises the steps: extracting global contrast, marginal definition, texture features and dust concentration related to a sand blindness environment through a sample visual image, and obtaining corresponding sample sand blindness visual features; and obtaining a target training sample set based on the sample sand blindness visual features and the corresponding label information, and training the initial visual evaluation model based on the target training sample set to obtain a target visual evaluation model. The initial visual evaluation model can learn enough information associated with the sand blindness environment through the sand blindness visual features, and learn the relevance between the sand blindness visual features and the subjective evaluation of the pilot, so that the target visual evaluation model can accurately output a visual evaluation result conforming to the real feeling of the pilot. The scientificity and rationality of visual evaluation in the sand blind environment can be improved.

We provide a system that allows visually impaired users to easily navigate web pages and access information. [Solution] The system consists of an editorial department that dynamically edits the HTML of a web page, a support department that adapts the edited HTML to the web standard WAI-ARIA, a navigation department that provides keyboard navigation based on the adapted HTML, an alternative text generation department that generates alternative text for images based on the navigation, a labeling department that adds labels to form fields based on the alternative text, a filter department that provides a filter function to accommodate color blindness based on the labels, and a summarization department that summarizes the content based on the filter function.

The invention relates to the technical field of color blindness diagnosis, and particularly provides a color blindness personalized interactive evaluation method and system based on augmented reality, and the method comprises the steps: building a color mapping relation between a physical color card and an augmented reality environment based on a standard illumination condition; generating a hue test task composed of a plurality of virtual color blocks corresponding to the color mapping relation through the augmented reality environment; based on a natural interaction mode, assisting the user in sorting the virtual color blocks and recording a sorting result to obtain color vision defect features; local or cloud quantitative analysis is carried out on the color vision defect features, color vision quantitative error parameters are calculated, a user color vision perception model is constructed, and the color vision defect type and severity level of the user are output based on the user color vision perception model; and outputting a color vision evaluation report and generating a targeted color optimization scheme according to the user color vision perception model, the color vision defect type and the severity level. According to the invention, a full-process solution from accurate evaluation to personalized color adaptation is provided for color blindness users.

The invention relates generally to an insert intended to be embedded in a silicone hydrogel contact lens. The insert is made of crosslinked materials that are rigid in the dry state at room temperature (approximately 22°C to approximately 26°C), have high oxygen permeability and a high refractive index in the fully hydrated state, and can be softened at temperatures above 32°C. Such materials are useful in the manufacture of embedded contact lens inserts for correcting corneal astigmatism, presbyopia, and color blindness, and for imparting photochromic characteristics to the lenses. The invention also relates to a method for manufacturing embedded silicone hydrogel contact lenses comprising an insert of the invention, and embedded silicone hydrogel contact lenses comprising an insert of the invention.

The application discloses a color blindness auxiliary identification method and device, equipment and storage medium, relates to the technical field of head-mounted display equipment, and the method is applied to the head-mounted display equipment, and the head-mounted display equipment comprises an inside camera, an outside camera and an imaging module. The method comprises the following steps: determining the color blindness auxiliary type of the head-mounted display equipment, wherein the color blindness auxiliary type corresponds to at least one obstacle color; identifying the fixation point of a target user through the inside camera, and acquiring a scene image through the outside camera; identifying the target object corresponding to the fixation point in the scene image; if the target object exists and belongs to the obstacle color, the target color corresponding prompt information is displayed in the imaging module. The application identifies the target object at the fixation point of the user, and specifically prompts the color of the object observed by the user, avoids the influence on the whole visual picture, avoids the influence of the environment on the color correction, and thus the robustness of the color auxiliary identification is improved.

The invention provides a color blindness detection method and head-mounted equipment. The color blindness detection method comprises the following steps: selecting and calibrating target head-mounted equipment; creating a color blindness detection image set and a display mode corresponding to the detection image set in the target head-mounted device; displaying the detection image set according to the display mode through the target head-mounted device, and guiding a to-be-detected user to answer questions according to display contents; and obtaining a detection result according to an answer result corresponding to the detection image set, and determining color blindness parameters of the to-be-detected user according to the detection results of all the detection image sets. According to the invention, automatic detection of color blindness can be rapidly realized, the consistency of detection for different users is high, and misjudgment is reduced.

In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and / or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.

This invention discloses a method, apparatus, device, and storage medium for determining a grasping posture. It acquires a visual image and a depth image of the current scene, as well as natural language information input by the user. The natural language information describes the feature information of the object to be grasped. Based on the visual image and the natural language information, it determines the availability points of the object to be grasped in the visual image. Based on the availability points and the visual image, it determines a mask image of the object to be grasped. Based on the visual image, depth image, camera parameters, and the mask image, it determines the grasping posture of the object to be grasped. By directly locating the availability points of the object through natural language information, and using these points to guide local segmentation to generate an accurate mask, and then combining the depth image and camera parameters to calculate the 3D grasping posture, it avoids the blindness and category dependence of traditional methods in complex, multi-object, and similar object scenes, significantly improving the accuracy and efficiency of grasping.

The invention belongs to the field of unintentional visual blindness analysis, and particularly relates to an unintentional visual blindness-based significance feature intelligent analysis method and system, and the analysis method comprises the following steps: S1, defining an attention task and an attention set: selecting the attention task needing to be completed by an observer, and determining the attention set established by the observer according to the task demand; s2, controlling stimulation features: determining features of the unexpected object, and controlling saliency and similarity of the unexpected object, so that quantitative separation and interaction analysis of the saliency features and the attention set are realized, the analysis precision of an unintentional visual blindness mechanism is improved, a dynamic experiment normal form with high ecological efficiency is constructed, and the method is suitable for popularization and application. And the generalization ability and engineering application value of a research result are enhanced, a perception rate-task performance double-index evaluation system is established, multi-dimensional intelligent diagnosis of attention failure is realized, an iterative intelligent analysis framework is proposed, and cross-scene migration and continuous model optimization are supported.

Systems and methods for stereoscopic chromatic system wavelength contrasting are provided. A system comprises two filters, for filtering different wavelengths in each eye to reduce metamerism caused by color-blindness without introducing new metamers. The system may be implemented as a pair of glasses which may also be corrective, as contact lenses which may also be corrective, as ocular implants or in a virtual- or augmented- reality system. Additionally, a surgical procedure is contemplated, wherein a semi-transparent hologram is implanted in the eye to filter the colors in the eye's visual field. A method for stereoscopic chromatic wavelength contrasting is described. Over time, the method may be used to reduce metamerism without introducing new metamers. The method may further be used to assess perception of color using the systems described herein.

In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and / or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.