168 results about "Blind persons" patented technology

The invention discloses a road recognition early warning system and method for a blind guide stick, and belongs to the technical field of auxiliary travel of blind persons. Perturbation vibration signals generated when the blind guide stick makes contact with the ground are collected, and a perturbation vibration feature vector set is constructed; inputting the feature vectors into a multi-layer fusion feature analysis model, and extracting abnormal sensitive features such as low-amplitude periodic disturbance, heterogeneous feedback response and contact delay gradient change; constructing a perturbation anomaly risk map based on the features, and dividing risk levels; further extracting a high-risk area and identifying a dangerous point set; performing space fitting on the dangerous point and the blind guiding user path prediction trajectory, and judging whether a path crossing risk exists or not; if the intersection exists, multi-mode early warning including vibration, voice and directional prompt is triggered; according to the invention, accurate identification and dynamic early warning of small road abnormity can be realized, the blind guiding safety and environmental adaptability are improved, and the system has low power consumption and high real-time performance.

The invention relates to the technical field of intelligent walking assisting equipment, and discloses a blind person intelligent guiding walking assisting method and system based on deep learning. The intelligent guiding power-assisted walking method for the blind is applied to guiding power-assisted electronic equipment, and specifically comprises the following steps: S101, receiving a starting signal sent by a user terminal, starting a multi-source sensor array to collect environment data in parallel, executing a Kalman-Transform space-time alignment algorithm, establishing a multi-modal data space-time unified coordinate system, and establishing a multi-modal data space-time unified coordinate system; when gait phase changes are collected and detected, a multi-source sensor array is activated and dynamically triggered for high-precision scanning, and a threat evaluation model is generated to calculate an obstacle collision probability point cloud matrix; and S102, processing the obstacle collision probability point cloud matrix through Point VoxelNet to generate a three-dimensional environment skeleton. The cross-modal attention mechanism of the millimeter wave radar and the vision improves the rain and fog weather recognition accuracy, and in addition, the dynamic threat evaluation module is combined with the double-threshold early warning strategy, so that the collision false alarm rate is effectively reduced.

The invention discloses a blind person navigation and positioning system and method, and relates to the technical field of intelligent assistance and positioning navigation, and the system comprises a positioning service unit and a navigation service unit. In the positioning service unit, an IMU module collects three-axis acceleration and three-axis angular velocity information of a user in real time and calculates motion data of the user; the GNSS module receives satellite signals in real time and calculates position data of a user; and the data processing module carries out positioning according to the data of the IMU module and the GNSS module, and sends the positioning result of the user to the navigation service unit. In the navigation service unit, a demand acquisition module is used for user interaction and acquiring terminal point information of a user; the path planning module generates an optimal path according to the starting point information and the terminal point information of the user; and the navigation guiding module guides the user to advance along the planned path through voice prompt. And more accurate navigation information is provided for the blind. According to the invention, real-time positioning and navigation services are provided for the blind, and the travel safety and convenience of the blind are enhanced.

The invention discloses a wearable intelligent obstacle avoidance system, and belongs to the technical field of blind person auxiliary travel. The invention aims to solve the problem that the existing blind person travel auxiliary equipment is inconvenient to use or high in cost. The method includes the steps that an image collection module collects blind sidewalk obstacle images; the GPS positioning module obtains position coordinates of a user; the lightweight target detection model performs obstacle recognition on the blind sidewalk obstacle image based on the position coordinates of the user to obtain obstacle information; the monocular distance measurement module obtains a distance signal between the current position of the user and the obstacle according to the obstacle information; the control module sends the current distance signal to the prompt module and sends a danger prompt signal when the distance between the current position of the user and the obstacle is smaller than a set threshold value; the prompting module sends a distance signal to a user; an alarm is sent to a user according to the danger prompt signal; all the modules are integrated on the wearable article to form the wearable device. The method is used for assisting the blind in going out.

The invention discloses an intelligent blind person walking stick based on artificial intelligence, and relates to the field of intelligent walking sticks, and the intelligent blind person walking stick comprises a sensing module used for collecting environmental physical information in the advancing direction of a user in real time, and a processing module used for receiving multi-source environmental information collected by the sensing module, establishing a dynamic three-dimensional space model of the current local environment by taking a landing point at the bottom end of the walking stick as a current origin of coordinates; when the user touches the walking stick to the ground once, a'drop point event 'is triggered once, the three-dimensional space model is updated based on new drop point data, and the space offset between the current drop point and the previous drop point is calculated, including the moving distance and the direction change; compared with a scheme only based on distance perception or fixed path navigation, the method has higher environment understanding capability, navigation adaptive capability and real-time correction capability.

The application belongs to the technical field of virtual reality, and particularly relates to a sound-driven VR serious game interaction control method for semi-blind people. The method comprises the following steps: constructing a 3D sound scene space and a motion guide field, and converting a motion path into a sound change rule; collecting and fusing user pose and physiological feedback signals in real time; dynamically adjusting sound source parameters and tactile feedback according to pose deviation to realize non-visual orientation guidance; performing boundary verification and area determination through ray projection to ensure interaction safety; synchronously processing collision by using a bounding box model and quaternion interpolation; and establishing a mapping model of emotional parameters and sound characteristics to synthesize exciting sound effects. Through multi-modal collaborative interaction, the application significantly improves the perception accuracy and safety of semi-blind users in a virtual space, realizes the cooperation of psychological intervention and motion rehabilitation, and has excellent real-time response capability.

The multi-mode AI-based blind person full-scene perception interaction method comprises the following steps: in the moving process of a user, acquiring a first video in a first direction, and acquiring a second video in a second direction based on the selection of the user; using a pre-trained traffic signal analysis model to locally analyze the first video and the second video to obtain traffic signal information, and converting the traffic signal information into traffic signal audio; uploading the first video and the second video to a cloud end, analyzing the first video and the second video by using a pre-trained complex environment analysis model to obtain complex environment information, and converting the complex environment information into complex environment audio; and acquiring position data of the user in real time, uploading the position data to the Internet of Vehicles to generate risk early warning information, and converting the risk early warning information into risk early warning audio. The safety of a user in the moving process can be fully guaranteed, and dignity of the user is effectively prevented from being damaged.

The invention relates to a method and system for avoiding information leakage of blind persons and a medium, and the method constructs a multi-level security verification mechanism, and comprises the following steps: carrying out voice retelling and voiceprint verification confirmation on a navigation instruction; carrying out credible authentication and integrity verification on the environment perception data; an expected navigation behavior is generated locally, and multi-dimensional consistency verification is carried out; voiceprint authentication and physical key secondary confirmation are required for suspicious and high-risk instructions. A corresponding system comprises an instruction confirmation module, a sensing data verification module, a local decision-making module, a consistency verification module, an intensified verification module, an execution control module and the like, and all the modules cooperate to achieve the method. The invention also relates to a computer storage medium for implementing the method. By establishing a safe closed loop of'user confirmation-data verification-behavior verification ', the technical problems of external data intrusion and misleading of the blind by malicious instructions are fundamentally solved, and the safety and reliability of the navigation equipment are remarkably improved.

This invention discloses a dynamic obstacle avoidance method for assistive visually impaired scenarios. First, a feature extraction module based on a hierarchical residual structure constructed within residual blocks is built, which expands the receptive field of deep features. Second, a spatial feature recovery module based on bilinear interpolation and transposed convolution upsampling is designed to make segmentation edges more accurate. Third, a discrete sampling strategy is used to extract obstacle category, distance, and contour information, and path planning is performed using a heuristic search algorithm considering safe distance constraints. Finally, priority rules and logical order rules for the obstacle avoidance warning system are assumed, and a decision is generated based on the planned path, effectively guiding blind users to avoid obstacles through auditory and tactile information. This invention solves the problem that single-stage instance segmentation algorithms struggle to simultaneously and accurately segment small target obstacles and background road surfaces, overcoming the difficulty of providing effective information for obstacle avoidance decisions in assistive visually impaired scenarios with instance segmentation results, enabling blind users to avoid obstacles more intelligently and autonomously.

The utility model discloses a blind guiding device which comprises a stick head arranged at the top of a stick body, a handle arranged on one side of the stick head and used for being supported by a user, a moving module arranged at the bottom of the stick body, a positioning module arranged in the stick head, an inertia measurement module and a data processing module arranged in the stick body, and a data processing module arranged in the stick body. The power module, the camera and the laser radar are arranged on the outer side face of the stick body, the camera and the laser radar are arranged at the positions, close to the stick head, of the stick body and are arranged in the direction opposite to the extending direction of the handle, and the data processing module is used for conducting SLAM mapping and obstacle information detection. The navigation module is used for receiving the SLAM mapping result and generating navigation data capable of avoiding obstacles based on the SLAM mapping result and the obstacle information, and the moving module is used for receiving the navigation data and moving according to the navigation data. By the adoption of the embodiment, real-time movement in a complex environment can be achieved, the blind person can go out only by following traction walking of the blind guiding device, and the going-out efficiency of the blind person is improved.

This invention discloses a Braille drum score teaching device, relating to the field of Braille drum score teaching technology. It includes a protective vest connected to teaching components. The teaching components include: a control assembly installed on the back of the protective vest; a control box fixedly connected to the back of the vest; a speaker fixedly connected to the control box; two sets of shoulder armor; and two sets of monitoring devices installed on the underside of the two sets of shoulder armor for monitoring the user's arm position. This Braille drum score teaching device, through the seven-degree inclined self-locking structure of the control box and the Braille display components, and electromagnetic drive transmission, achieves accurate display of the Braille drum score. It allows the blind user to read the drum score content promptly without affecting their drum practice; and it updates the Braille drum score promptly when the drum practice is correct, and pauses the update when the drum score is incorrect.

A system and method for urban mobility assistance intended for integration into an urban environment. The system notifies or alerts users to potential obstacles in their path and guides them to a destination of interest. Assistance is provided by the detection via a support element worn by the user of an electromagnetic field generated by a conductive wire installed below ground level when receiving alternating current. The invention offers an efficient solution to the lack of adaptability and personalization in current assistance solutions for blind people, as it provides continuous and specific guidance based on environmental information and the user's needs.

The application discloses a blind person assisting system based on artificial intelligence and smart home, and relates to the field of intelligent assistance, comprising: a perception module collects voice data of a blind person and binocular vision data in front of the blind person, and obtains three-dimensional point cloud data of an indoor environment; a voice recognition module recognizes the voice data, and confirms a voice instruction of the blind person; an assisting module performs real-time object recognition based on the binocular vision data, and assists the blind person in picking up objects according to the voice instruction; the three-dimensional point cloud data are used to identify a position of the blind person and obstacles, and the blind person is assisted to reach a target position according to the voice instruction; and a smart home linkage module controls each smart home device according to the voice instruction. Through deep integration of artificial intelligence and smart home, the application comprehensively solves the problems of environment perception, action assistance and device control for the blind person at home, and significantly improves the independence, convenience and safety of the blind person at home.

The invention discloses a psychological health assessment system, method and equipment for deaf-mute and blind people, a medium and a product. The system comprises a behavior data acquisition device, a physiological data acquisition device and a display device, the behavior data acquisition device comprises a plurality of acquisition devices adaptive to deaf-mute and blind people and is used for acquiring tactile behavior data of a target object in a test process, and the physiological data acquisition device is worn on a signal acquisition part of the target object and is used for acquiring physiological data of the target object in the test process; the processing device receives the tactile behavior data and the physiological data, and analyzes and processes the tactile behavior data and the physiological data based on a pre-trained evaluation model to obtain a recommendation analysis result of the target object for the psychological health state; and the output equipment comprises multiple types of output equipment adaptive to the deaf-mute and blind people, converts the recommendation analysis result into different types of output information, and outputs the output information. According to the method, the problem that the evaluation process is difficult to execute due to lack of visual, auditory and language functions of deaf-mute and blind people is solved.

1. Name of the product in this design: Electronic Guide Dog. 2. Purpose of this design: To be used as an electronic guide dog, replacing the work of a guide dog, and assisting blind people in their daily lives and travel. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention discloses a guide device and system that converts image signals into vibration signals, relating to the field of assistive technology for the blind. Its key technical points are: the device and system of this invention convert environmental semantic information into perceptible tactile signals, assisting blind people to more comprehensively understand the location of obstacles, road surface properties, and traffic conditions, while simultaneously avoiding dangers on the road. This invention solves the technical problems of low safety and low user acceptance of existing invasive guide devices, as well as poor real-time information transmission in existing guide devices. Furthermore, the printed circuit board assembly of this invention can be flexibly embedded in portable miniature devices, providing blind users with a more natural and convenient guide device.

The utility model relates to the technical field of payment equipment appliances for the blind, in particular to an auxiliary support for the blind and electronic equipment, which comprises the electronic equipment and the auxiliary support for the blind, the auxiliary support for the blind comprises a support, the support is provided with a touch surface, and the support is attached to a touch screen of the electronic equipment. The touch surface of the support is provided with a plurality of hollow operation windows used for exposing digital keys on a touch screen of the electronic equipment. The utility model can ensure the payment safety of the blind.

There is hereon described assistive and computational technology, including, but not limited to, applications for visually impaired and blind persons, as well as other domains requiring efficient data processing on low-memory and low-compute devices.

The invention discloses a multifunctional self-adaptive blind person grab rail device and a using method thereof, and belongs to the technical field of robot auxiliary equipment.The multifunctional self-adaptive blind person grab rail device comprises a grab rail module, a telescopic rod module, an intelligent module and a walking aid connecting module, the grab rail module is connected with the telescopic rod module, and the intelligent module is arranged in the telescopic rod module; the intelligent module is electrically connected with the armrest module and the walking-aid connecting module, and the walking-aid connecting module is arranged at the end, away from the armrest module, of the telescopic rod module. According to the intelligent walking-aid multifunctional armrest with the man-machine interaction function, interconnection, perception and feedback are achieved, the perception range of the blind is expanded, environment information is provided, and the interaction mode is enriched. Functional conversion between the robot control rod and the intelligent walking stick is achieved through the quick release structure, and the technical bottleneck that an existing device is single in function and limited in man-machine interaction is solved.

The application provides a blind person discrimination device, system and method based on a distributed optical fiber sensing device.The device comprises an optical time domain reflectometer module, a signal preprocessing module, a signal cutting module, a signal feature extraction module and a signal classification module.The method provides a high recognition rate without video monitoring equipment and wearable sensing equipment, more comprehensively and effectively provides application support for the field of security and blind person travel, enhances the adaptability for different human body recognition, and identifies the source of the human body walking signal accepted by the current device, whether it is a visually impaired user or a normal user, so as to provide related services for the visually impaired user in the future.The long-time and short-time feature joint recognition mode is adopted in the feature extraction algorithm, and the accuracy is further improved.

The novel blind guiding stick comprises a stick body, a cavity is formed in the stick body, the inner bottom wall of the cavity is fixedly connected with a storage battery, the inner wall of the cavity is fixedly connected with a fixing frame, the inner side wall of the fixing frame is fixedly connected with an STM single-chip microcomputer, a digital-to-analog converter and a Bluetooth module, and the STM single-chip microcomputer, the digital-to-analog converter and the Bluetooth module are connected with the storage battery. Three light induction lamps are fixedly connected to the outer surface of the stick body, two small ultrasonic radars are fixedly connected to the lower portion of the outer surface of the stick body, the two small ultrasonic radars are arranged in a fan shape, a positioning sleeve is fixedly connected to the top end of the stick body, and a sliding ring is slidably connected to the interior of the positioning sleeve; and two rubber plates are clamped in the sliding ring. According to the tactile feedback-based blind guide stick, the tactile feedback-based navigation function is realized, the blind can be better guided to go to a destination according to a route and accurately and clearly guided to turn left and right, and the guide effect of the tactile feedback-based blind guide stick is effectively improved.

1. The name of the design product: intelligent blind walking stick. 2. The use of the design product: for blind walking stick. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

This invention discloses a method, device, electronic device, and storage medium for guiding blind people. The method includes acquiring three-dimensional point cloud data, image data, and pose data of the current environment in which the guiding robot is located; determining target detection information of a target object in the current environment based on the three-dimensional point cloud data and image data, including the distance and direction of the target object relative to the guiding robot, and the type identification result of the target object; performing point cloud registration and pose optimization processing on the three-dimensional point cloud data and pose data to obtain the optimized target position and target pose at the current moment; thereby enabling path planning for the guiding robot at the current moment based on the target detection information, type identification result, target position, and target pose, so as to control the guiding robot to move according to the planned navigation data, complete the real-time movement of the guiding robot in complex environments, and improve the travel efficiency of blind people.

The application discloses a ground stair identification and stimulation method and system for a bionic vision system, and the method comprises the following steps: acquiring depth information and spatial reference information of a target scene; performing constraint on the depth information based on the spatial reference information to identify and extract a passing area plane in the scene and determine a boundary contour of the passing area; performing hierarchical structure identification on the depth information of a non-passing area to extract a stair structure with a hierarchical relationship; performing adaptive abstraction processing on the boundary contour of the passing area and the stair structure based on the number of electrode channels of the bionic vision system to generate a sparse dot array expression matched with the number of electrode channels; and mapping the sparse dot array expression to an electrode array coordinate system of the bionic vision system to generate an adaptive stimulation mode and outputting the same. The safety hazards of misjudging a path, missing a stair or failing to perceive a sudden structure of a blind user in a complex terrain due to insufficient information expression are effectively solved.

The utility model discloses wearable blind guiding equipment which comprises an environment sensing assembly, a controller and power supply assembly, a blind guiding prompt assembly and a wearable body. The wearing body comprises a vest main body; the environment sensing assembly comprises a visual sensor module and a laser sensor module; the control and power supply module comprises a controller module and a power supply module; the visual sensor module, the laser sensor module, the controller module and the power supply module are arranged on the outer surface of the vest main body; the blind guiding prompting assembly is arranged on the outer surface and / or the inner surface of the vest main body; the controller module receives feedback signals of the visual sensor module and the laser sensor module and sends a control instruction to the blind guiding prompt assembly according to feedback information. According to the utility model, road conditions and obstacle types can be intelligently identified, corresponding judgment processing can be carried out according to different environments and obstacles, and a bypassing or obstacle avoidance scheme can be generated according to road conditions, so that the problem of travel navigation for blind people is effectively solved.

The application discloses a kind of tactile perception system and its use method, tactile perception system includes: information acquisition module, analysis module and output module.The use method of tactile perception system includes: obtaining information for analysis;According to the information obtained, analysis is carried out, and the information that needs to be output to user is obtained;The information that needs to be output to user is converted into tactile perception signal, and the tactile perception signal is expressed information by contacting the position of user body, and at least one of contact type, shape, contact area, action, temperature and pressure;Output tactile perception signal.Through the tactile perception system and its use method of the application, people can better utilize tactile to perceive external information, enhance the effect of perception, and can help blind, deaf-mute or help normal people in the environment that is not conducive to vision and hearing to improve the efficiency of walking, searching, using computer and intelligent device / intelligent system etc..

The invention provides a unified assistive technology system, the ADA Empathy Wearable Bundle, enhancing perception, communication, and self-expression for individuals with visual, auditory, or speech impairments.It integrates Empathy Glasses, Empathy Headphones, Word Articulation Guidance (WAGS), Word Articulation Response Monitoring (W.A.R.M.), and Conversational MIDI (C-MIDI), using AI-driven narrative interpretation, augmented reality, and blockchain-based security.The system delivers vivid narrative audio for blind users, multimodal AR overlays for hearing-impaired users, and real-time visual and auditory articulation guidance for speech-impaired or non-verbal users. A tone-based trust protocol ensures operational integrity, while blockchain storage preserves privacy and consent.Grounded in ethical AI, empathy, and human dignity, the system enables users to perceive, understand, and engage with the world fully, offering a holistic, compassionate, and transformative solution in assistive technology.

1. The name of the design product: medical treatment guide device for the visually impaired. 2. The use of the design product: device for internal positioning, navigation and obstacle avoidance in hospitals to assist the visually impaired in medical treatment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: top view. 5. Other circumstances that need to be explained: the A part in the perspective view is made of transparent material.

The invention discloses a blind person glasses recognition system based on end-to-end visual detection, and the system comprises a visual perception module which is connected with a blind person glasses high-definition camera, receives an original image, and extracts multi-scale features; the feature fusion module integrates shallow texture and deep semantic features and supports multi-scale feature parallel processing; the detection prediction module directly predicts the category, the position and the confidence coefficient of a target through an NMS-free end-to-end detection head; and the lightweight distillation deployment module is linked with the voice module for real-time feedback through distillation, quantification and pruning lightweight adaptive hardware. According to the method, the feature extraction efficiency is improved through multi-module cooperation, NMS direct prediction is not needed, hardware is adapted in a light-weight mode, real-time voice feedback is achieved, and convenience and real-time performance of blind person environment recognition are enhanced.

The application discloses a complex environment recognition and intelligent interaction system for blind navigation, aiming to provide a safer and more personalized travel assistance for the blind or visually impaired. Based on the travel route planned by the map software, the YOLOv8 target detection algorithm with added CBAM attention mechanism is combined with the visual large model to recognize the complex scene, and the recognition result is transmitted to the large language model. The large language model generates active warning text or answers user questions according to the recognition result, and feeds back to the user in the form of voice, realizing intelligent interaction. At the same time, relying on the average step length calculated by the monocular vision technology and the autocorrelation analysis algorithm, the broadcast unit is converted from "meters" to "steps", improving the personalization of voice broadcast. The application combines front-end and back-end information transmission, introduces complex environment recognition, voice interaction and personalized guidance technology, and significantly improves the safety, interactivity and user experience of blind navigation assistance.