Intelligent ring for blind person

Abstract

The invention discloses an intelligent ring for a blind person, relates to the technical field of travel assistance for the blind person, and aims to solve the problem that an existing travel auxiliary tool for the blind person cannot provide comprehensive and timely travel assistance for the blind person, the intelligent ring comprises a wearing ring and a protection ring which are used for forming the ring, and is characterized in that a storage cavity is formed between the wearing ring and the protection ring; a 360-degree ultrasonic sensor array, a high-precision microprocessor, four groups of linear vibration feedback modules, a low-power-consumption Bluetooth 4.0 module and a rechargeable lithium battery are arranged in the accommodating cavity; the 360-degree ultrasonic sensor array comprises four sets of micro sensors which are located on the front side, the rear side, the left side and the right side of the containing cavity respectively, and the range of a single set of micro sensors is 120 degrees, so that all-directional coverage of the surrounding 360-degree space is achieved, and the blind can sense obstacles from all directions. The method has the advantage that the blind user can comprehensively and timely obtain the travel information.

Description

Technical Field

[0001] The present invention relates to the field of travel assistance technology for the blind, and more specifically, to a smart ring for the blind. Background Art

[0002] In modern society, the travel needs of the visually impaired are receiving increasing attention.

[0003] Existing travel assistance tools for the blind, such as traditional canes and electronic guide devices, still have many shortcomings when used. Among them, traditional canes are extremely susceptible to environmental changes when in use. When encountering uneven roads, complex terrain or narrow spaces, it is difficult to accurately detect surrounding obstacles. Electronic guide devices generally have the problems of being bulky and complex to operate. They are also inconvenient to carry and difficult to use. For example, the prior art discloses an invention patent called smart guide cane with application number CN201811589372.7. Although it solves the problem that different blind people have different tilt angles when using guide canes, which may cause the detection direction of the ultrasonic ranging module to be tilted towards the sky or the ground, thus failing to detect obstacles ahead, it still has the problems of being bulky and complex to operate. In addition, these devices lack real-time environmental perception and multi-dimensional information feedback capabilities, and cannot provide comprehensive and timely travel assistance for the blind. In view of this, we propose a smart ring for the blind. Summary of the Invention

[0004] The purpose of the present invention is to provide a smart ring for the blind, aiming to solve the problem that existing travel assistance tools for the blind cannot provide comprehensive and timely travel assistance for the blind.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a smart ring for the blind, comprising a wearing ring and a protective ring, wherein a storage cavity is provided between the wearing ring and the protective ring, wherein a 360° ultrasonic sensor array, a high-precision microprocessor, four sets of linear vibration feedback modules, a low-power Bluetooth 4.0 module, and a rechargeable lithium battery are provided in the storage cavity;

[0006] The 360° ultrasonic sensor array includes four groups of micro sensors, which are located on the front, back, left, and right sides of the storage cavity. The range of each group of micro sensors is 120°, thereby achieving full coverage of the surrounding 360° space, allowing blind people to perceive obstacles from all directions.

[0007] The high-precision microprocessor is used to quickly process and analyze the data collected by the 360° ultrasonic sensor array, thereby accurately calculating the distance and direction information of obstacles;

[0008] The four sets of linear vibration feedback modules are respectively located at the front, rear, left and right of the storage cavity, and are used to generate vibrations of different intensities according to the distance and danger level of the obstacle, and to distinguish the location of the obstacle through vibrations in different directions;

[0009] The low-power Bluetooth 4.0 module is used to connect to Bluetooth headsets, providing voice prompts and vibration feedback effects for blind users, allowing them to more fully understand their surroundings, and realize offline use through the built-in voice bar;

[0010] The rechargeable lithium battery is used to provide power.

[0011] Preferably, a storage module is also provided in the storage cavity, and the storage module is used to store the identified obstacle information. The high-precision microprocessor also integrates an AI environmental learning algorithm to automatically learn the obstacle information in the current environment and establish an environmental model stored in the storage module. When the blind user enters a similar environment again, the stored model can be quickly identified and called, and the environmental conditions can be judged more accurately to reduce misjudgment.

[0012] Preferably, an accelerometer is also provided in the storage cavity, and the accelerometer is used to identify the gait data of the blind user. The high-precision microprocessor has a built-in multimodal fusion algorithm for fusing the obstacle information with the gait data of the blind user in real time, and dynamically adjusting the sampling frequency and danger threshold of the obstacle information according to the walking speed of the blind user, so as to provide early warning when the blind user moves quickly.

[0013] Preferably, a sound recognition module is also provided in the storage cavity, which collects ambient audio, combines it with a deep learning algorithm to identify specific dangerous sounds, and converts the audio features into vibration frequency signals, forming a multimodal warning system with the linear vibration feedback module.

[0014] Preferably, an ambient light sensor is also provided in the storage cavity, and the ambient light sensor is used to detect the light intensity of the surrounding environment. The high-precision microprocessor adjusts the working mode of the 360° ultrasonic sensor array according to the light intensity, reduces the sampling frequency to save power when there is sufficient light, and increases the sampling frequency to enhance the obstacle detection capability when the light is dim.

[0015] Preferably, the high-precision microprocessor also has a built-in abnormal state detection algorithm. When high-intensity obstacle signals are continuously detected and the duration exceeds a preset threshold, the emergency warning mode is automatically triggered, and continuous high-frequency vibrations are emitted through the linear vibration feedback module.

[0016] Preferably, the protective ring is made of transparent acrylic material, and the connection between the protective ring and the wearing ring is filled with a sealing ring.

[0017] Preferably, a guide protrusion with a triangular structure is formed on the inner wall of the wearing ring, and the guide protrusion is located on the front inner wall of the wearing ring.

[0018] Preferably, the AI ​​environment learning algorithm uses a convolutional neural network or support vector machine in a supervised learning method to train an environment classification model, uses an unsupervised clustering algorithm to automatically classify similar environments, and establishes a reusable environment model template, including obstacle distribution patterns and user movement habits in common scenarios, and finally outputs the current environment category label and its corresponding obstacle prediction map.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. The present invention achieves all-round perception of the surrounding environment, precise data processing, and multi-dimensional information feedback by setting up a 360-degree ultrasonic sensor array, a high-precision microprocessor, four sets of linear vibration feedback modules, a low-power Bluetooth 4.0 module, and a rechargeable lithium battery. It can accurately detect obstacles in all directions. Combined with vibration and voice prompts, it allows blind users to obtain comprehensive and timely travel information, making up for the shortcomings of existing travel assistance tools.

[0021] 2. The storage module set in the storage cavity of the present invention and the AI ​​environmental learning algorithm integrated in the high-precision microprocessor can automatically learn and establish an environmental model. When a blind user enters a similar environment again, the model can be quickly identified and called, reducing misjudgments and making it safer and more efficient for the blind to travel in a familiar environment.

[0022] 3. The gait data collected by the accelerometer in this invention is combined with the multimodal fusion algorithm built into the high-precision microprocessor. The obstacle information sampling frequency and danger threshold can be dynamically adjusted according to the blind person's walking speed, providing early warning when moving quickly. At the same time, the sound recognition module and ambient light sensor work together to form a multimodal warning system, ensuring the safety of blind people's travel from multiple aspects.

[0023] 4. The protective ring of the present invention is made of transparent acrylic material and filled with a sealing ring, which ensures overall durability and protection. Light can easily pass through the protective ring, so that the ambient light sensor can accurately adjust the working mode of the ultrasonic sensor array according to the light intensity, reduce the sampling frequency to save power when there is sufficient light, and enhance the detection capability in dim light, achieving a balance between functionality and energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a structural schematic diagram of the present invention;

[0025] Figure 2 It is a cross-sectional view of the protective ring in the present invention.

[0026] In the picture:

[0027] 1. Wearing ring; 2. Protective ring; 3. Storage cavity; 4. 360° ultrasonic sensor array; 5. High-precision microprocessor; 6. Linear vibration feedback module; 7. Low-power Bluetooth 4.0 module; 8. Rechargeable lithium battery; 9. Storage module; 10. Accelerometer; 11. Voice recognition module; 12. Ambient light sensor; 13. Guide protrusion. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0029] Example 1

[0030] like Figure 1-2 As shown, a smart ring for the blind includes a wearing ring 1 and a protective ring 2 for forming the ring. A storage cavity 3 is provided between the wearing ring 1 and the protective ring 2. The storage cavity 3 is provided with a 360° ultrasonic sensor array 4, a high-precision microprocessor 5, four sets of linear vibration feedback modules 6, a low-power Bluetooth 4.0 module 7, and a rechargeable lithium battery 8.

[0031] The 360° ultrasonic sensor array 4 includes four groups of micro sensors, which are respectively located on the front, rear, left and right sides of the storage cavity. The range of each group of micro sensors is 120°, thereby achieving full coverage of the surrounding 360° space, allowing the blind to perceive obstacles from all directions.

[0032] The high-precision microprocessor 5 is used to quickly process and analyze the data collected by the 360° ultrasonic sensor array 4, thereby accurately calculating the distance and direction information of the obstacle;

[0033] Four sets of linear vibration feedback modules 6 are located at the front, back, left and right of the storage chamber 3, respectively, for generating vibrations of different intensities according to the distance and danger level of the obstacle, and distinguishing the location of the obstacle through vibrations in different directions;

[0034] The low-power Bluetooth 4.0 module 7 is used to connect to Bluetooth headsets, providing voice prompts and vibration feedback effects for blind users, allowing them to more fully understand their surroundings. It also enables offline use through the built-in voice bar;

[0035] The rechargeable lithium battery 8 is used to provide power.

[0036] Specifically, the wearing ring 1 and the protective ring 2 form a ring, and the storage cavity 3 between the protective ring 2 and the wearing ring 1 is respectively provided with a 360° ultrasonic sensor array 4, a high-precision microprocessor 5, four sets of linear vibration feedback modules 6, a low-power Bluetooth 4.0 module 7, and a rechargeable lithium battery 8. Among them, the 360° ultrasonic sensor array 4 is composed of 4 groups of micro sensors, and the detection range of each group of sensors is 120°. By emitting ultrasonic waves and receiving reflected waves, it can fully cover the 360° space around the ring, so as to detect obstacles in the surrounding environment. The high-precision microprocessor 5 is responsible for quickly processing and analyzing the data collected by the 360° ultrasonic sensor array 4, and accurately calculating the obstacles and the blind user. The distance between the obstacles and the direction of the obstacles are determined by the linear vibration feedback modules 6 installed at the front, rear, left and right positions of the storage cavity 3, which generate vibrations of different intensities according to the distance and danger level of the obstacles. Moreover, through vibrations in different directions, blind users can judge the position of the obstacles. The low-power Bluetooth 4.0 module 7 is used to connect to Bluetooth headphones, which can provide voice prompts for blind users and cooperate with vibration feedback to allow users to have a more comprehensive understanding of the surrounding environment. At the same time, it has a built-in voice bar for offline use, allowing blind users to obtain travel information in a comprehensive and timely manner, making up for the defects of existing travel assistance tools. Finally, the rechargeable lithium battery 8 provides power for each component to ensure the stable operation of each component.

[0037] Furthermore, a storage module 9 is provided in the storage cavity 3, and the storage module 9 is used to store the identified obstacle information. The high-precision microprocessor 5 also integrates an AI environmental learning algorithm to automatically learn the obstacle information in the current environment and establish an environmental model stored in the storage module 9. When the blind user enters a similar environment again, the stored model can be quickly identified and called, and the environmental conditions can be judged more accurately to reduce misjudgment.

[0038] The AI ​​environment learning algorithm uses convolutional neural networks or support vector machines in supervised learning methods to train environment classification models, uses unsupervised clustering algorithms to automatically classify similar environments, and establishes reusable environment model templates, including obstacle distribution patterns and user movement habits in common scenarios, and finally outputs the current environment category label and its corresponding model.

[0039] Specifically, the high-precision microprocessor 5 first processes the identified obstacle information and then stores the information in the storage module 9. When the blind user enters a similar environment again, the stored environment model can be quickly identified and called, thereby more accurately judging the environmental conditions and effectively reducing misjudgments.

[0040] Furthermore, an accelerometer 10 is also provided in the storage cavity 3, which is used to identify the gait data of the blind user. The high-precision microprocessor 5 has a built-in multimodal fusion algorithm for integrating obstacle information with the gait data of the blind user in real time, and dynamically adjusting the sampling frequency and danger threshold of the obstacle information according to the walking speed of the blind user, so as to provide early warning when the blind user moves quickly.

[0041] Specifically, the accelerometer 10 in the storage cavity 3 can identify the gait data of the blind user, and the multimodal fusion algorithm built into the high-precision microprocessor 5 will fuse the obstacle information with the gait data in real time. In this way, the sampling frequency and danger threshold of the obstacle information can be dynamically adjusted according to the walking speed of the blind user. When the user moves quickly, an early warning will be provided to enhance the safety of use.

[0042] Furthermore, a sound recognition module 11 is provided in the storage cavity 3, which collects ambient audio, combines it with a deep learning algorithm to identify specific dangerous sounds, and converts the audio features into vibration frequency signals, forming a multimodal warning system with the linear vibration feedback module 6.

[0043] Specifically, the sound recognition module 11 collects ambient audio and combines it with a deep learning algorithm to identify specific dangerous sounds, such as vehicle horns and emergency alarms. Then, the system converts the audio features into vibration frequency signals, and together with the linear vibration feedback module 6 forms a multimodal warning system to remind users of danger from both auditory and tactile aspects.

[0044] Furthermore, an ambient light sensor 12 is provided in the storage cavity 3. The ambient light sensor 12 is used to detect the light intensity of the surrounding environment. The high-precision microprocessor 5 adjusts the working mode of the 360° ultrasonic sensor array 4 according to the light intensity, reduces the sampling frequency to save power when there is sufficient light, and increases the sampling frequency to enhance the obstacle detection capability when the light is dim.

[0045] Specifically, the ambient light sensor 12 is used to detect the light intensity of the surrounding environment. The high-precision microprocessor 5 will adjust the working mode of the 360° ultrasonic sensor array 4 according to the light intensity. When there is sufficient light, the sampling frequency will be reduced to save power. When the light is dim, the sampling frequency will be increased to enhance the obstacle detection capability, ensuring that it can work effectively under different light conditions.

[0046] Furthermore, the high-precision microprocessor 5 also has a built-in abnormal state detection algorithm. When high-intensity obstacle signals are continuously detected and the duration exceeds a preset threshold, the emergency warning mode is automatically triggered, and continuous high-frequency vibrations are emitted through the linear vibration feedback module 6.

[0047] Specifically, the abnormal state detection algorithm built into the high-precision microprocessor 5 will continuously monitor obstacle signals. When high-intensity obstacle signals are continuously detected and the duration exceeds the preset threshold, the emergency warning mode will be automatically triggered, and continuous high-frequency vibrations will be emitted through the linear vibration feedback module 6 to remind the user that they may be facing an emergency situation.

[0048] Furthermore, the protective ring 2 is made of transparent acrylic material, and the connection between the protective ring 2 and the wearing ring 1 is filled with a sealing ring.

[0049] Specifically, the protective ring 2 is made of transparent acrylic material and filled with a sealing ring, which ensures overall durability and protection. Light can easily pass through the protective ring 2, so that the ambient light sensor 12 can accurately adjust the working mode of the 360° ultrasonic sensor array 4 according to the light intensity, reduce the sampling frequency to save power when there is sufficient light, and enhance the detection capability in dim light.

[0050] Furthermore, a triangular-shaped guide protrusion 13 is formed on the inner wall of the wearing ring 1 , and the guide protrusion 13 is located on the front inner wall of the wearing ring 1 .

[0051] Specifically, a triangular guide protrusion 13 is formed on the inner wall of the wearing ring 1, and the guide protrusion 13 is located on the front inner wall of the wearing ring 1. The function of this guide protrusion 13 is to help blind users wear the ring correctly and ensure that each component is in the correct position.

[0052] Working principle: This embodiment provides a smart ring for the blind, which is composed of a wearing ring 1 and a protective ring 2. The storage cavity 3 between the protective ring 2 and the wearing ring 1 is respectively provided with a 360° ultrasonic sensor array 4, a high-precision microprocessor 5, four groups of linear vibration feedback modules 6, a low-power Bluetooth 4.0 module 7, and a rechargeable lithium battery 8. Among them, the 360° ultrasonic sensor array 4 is composed of 4 groups of micro sensors, and the detection range of each group of sensors is 120°. By emitting ultrasonic waves and receiving reflected waves, it can fully cover the 360° space around the ring, so as to detect obstacles in the surrounding environment. The high-precision microprocessor 5 is responsible for quickly processing and analyzing the data collected by the 360° ultrasonic sensor array 4, and accurately calculating the The distance between the obstacle and the blind user and the direction of the obstacle are then generated by the linear vibration feedback modules 6 installed in the front, rear, left and right positions of the storage cavity 3 according to the distance and degree of danger of the obstacle, generating vibrations of different intensities. Moreover, through vibrations in different directions, the blind user can judge the position of the obstacle. The low-power Bluetooth 4.0 module 7 is used to connect to Bluetooth headphones, which can provide voice prompts for the blind user and cooperate with the vibration feedback to allow the user to have a more comprehensive understanding of the surrounding environment. At the same time, it has a built-in voice bar for offline use, allowing blind users to obtain travel information comprehensively and timely, making up for the defects of existing travel assistance tools. Finally, the rechargeable lithium battery 8 provides power for each component to ensure the stable operation of each component.

[0053] The following table is the obstacle test results of the present invention:

[0054]

[0055]

[0056] The following table shows the correspondence between the vibration intensity of the linear vibration feedback module and the distance to the obstacle:

[0057] Obstacle distance Hazard Level Vibration frequency Duration >2m Safety 100Hz 100ms 1-2m Notice 200Hz 200ms 0.5-1m warn 300Hz 300ms <0.5m urgent 500Hz continuous

[0058] The embodiments disclosed in the present invention are preferred embodiments, but are not limited to them. Ordinary technicians in this field can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. As long as they do not deviate from the spirit of the present invention, they are all within the scope of protection of the present invention.

Claims

1. A smart ring for the blind, comprising a wearing ring (1) and a protective ring (2) for forming the ring, characterized in that: A storage cavity (3) is provided between the wearing ring (1) and the protective ring (2), and a 360° ultrasonic sensor array (4), a high-precision microprocessor (5), four sets of linear vibration feedback modules (6), a low-power Bluetooth 4.0 module (7), and a rechargeable lithium battery (8) are arranged in the storage cavity (3); The 360° ultrasonic sensor array (4) includes four groups of micro sensors, which are respectively located at the front, rear, left and right sides of the storage cavity, and the range of a single group of micro sensors is 120°, thereby achieving full coverage of the surrounding 360° space, so that the blind can perceive obstacles from all directions; The high-precision microprocessor (5) is used to quickly process and analyze the data collected by the 360° ultrasonic sensor array (4), thereby accurately calculating the distance and direction information of the obstacle; The four groups of linear vibration feedback modules (6) are respectively located at the front, rear, left and right of the storage chamber (3), and are used to generate vibrations of different intensities, and to provide different vibration intensities according to the distance and danger level of the obstacle, and to distinguish the location of the obstacle through vibrations in different directions; The low-power Bluetooth 4.0 module (7) is used to connect to a Bluetooth headset to provide voice prompts and vibration feedback effects for blind users, allowing them to more fully understand their surroundings, and to achieve offline use through a built-in voice bar; The rechargeable lithium battery (8) is used to provide power.

2. A smart ring for the blind according to claim 1, characterized in that: A storage module (9) is also provided in the storage cavity (3), and the storage module (9) is used to store the identified obstacle information. The high-precision microprocessor (5) is also integrated with an AI environment learning algorithm to automatically learn the obstacle information in the current environment and establish an environment model to store in the storage module (9). When the blind user enters a similar environment again, the stored model can be quickly identified and called, thereby more accurately judging the environmental conditions and reducing misjudgments.

3. A smart ring for the blind according to claim 1, characterized in that: An accelerometer (10) is also provided in the storage cavity (3), and the accelerometer (10) is used to identify gait data of a blind user. The high-precision microprocessor (5) has a built-in multimodal fusion algorithm for fusing obstacle information with the gait data of the blind user in real time, dynamically adjusting the sampling frequency and danger threshold of the obstacle information according to the walking speed of the blind user, and providing an early warning when the blind user moves quickly.

4. The smart ring for the blind according to claim 1, characterized in that: A sound recognition module (11) is also provided in the storage cavity (3), which collects ambient audio, identifies specific dangerous sounds in combination with a deep learning algorithm, and converts the audio features into vibration frequency signals, thereby forming a multimodal early warning system with the linear vibration feedback module (6).

5. The smart ring for the blind according to claim 1, characterized in that: An ambient light sensor (12) is also provided in the storage cavity (3), and the ambient light sensor (12) is used to detect the light intensity of the surrounding environment. The high-precision microprocessor (5) adjusts the working mode of the 360° ultrasonic sensor array (4) according to the light intensity, reducing the sampling frequency to save power when there is sufficient light, and increasing the sampling frequency to enhance the obstacle detection capability when the light is dim.

6. The smart ring for the blind according to claim 1, characterized in that: The high-precision microprocessor (5) also has a built-in abnormal state detection algorithm. When a high-intensity obstacle signal is continuously detected and the duration exceeds a preset threshold, an emergency warning mode is automatically triggered, and continuous high-frequency vibration is emitted through the linear vibration feedback module (6).

7. The smart ring for the blind according to claim 1, characterized in that: The protective ring (2) is made of a transparent acrylic material, and a sealing ring is filled at the connection between the protective ring (2) and the wearing ring (1).

8. The smart ring for the blind according to claim 1, characterized in that: A guiding protrusion (13) with a triangular structure is formed on the inner wall of the wearing ring (1), and the guiding protrusion (13) is located on the front inner wall of the wearing ring (1).

9. The smart ring for the blind according to claim 2, characterized in that: The AI ​​environment learning algorithm uses convolutional neural networks or support vector machines in supervised learning methods to train environment classification models, uses unsupervised clustering algorithms to automatically classify similar environments, and establishes reusable environment model templates, including obstacle distribution patterns and user movement habits in common scenarios. The final output is the current environment category label and its corresponding obstacle prediction map.

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