A neck-hung intelligent wearing device and an intelligent interaction system

Abstract

This application relates to the field of everyday intelligent interaction technology, and discloses a neckband-style smart wearable device. It includes a main body with an internal fan structure and an interaction system. A projector and a camera are respectively installed at both ends of the main body. An environmental sensor is installed on the outer edge of the main body. A display screen for displaying the operating interface is installed on the outer side of the main body away from the environmental sensor. A switch and a charging port are installed on the outer side of the main body near the environmental sensor. A human body monitoring sensor for monitoring human health indices is located in the middle of the main body. By providing users with multimodal interaction methods, the system can dynamically adjust the interaction methods and information display content according to the user's environment and current needs, thereby significantly improving the user experience and system adaptability. Furthermore, the system not only meets the needs of general users but also provides thoughtful services for special groups.

Description

Technical Field

[0001] This invention relates to the field of everyday intelligent interaction technology, specifically to a neckband-style intelligent wearable device and intelligent interaction system. Background Technology

[0002] With the rapid development of smart technology, various smart wearable devices have emerged, among which neckband-style smart wearable devices have gradually become popular products in the market. These devices, with their convenient wearing method and multi-functional integration, are widely used in daily life, sports and health monitoring, and assistive support for specific groups. Neckband-style smart wearable devices are typically equipped with multiple sensors and communication modules, enabling real-time monitoring of the user's physiological data and movement status. Through wireless connection with external devices, they achieve information sharing and remote control. Due to their lightweight and ease of use, these devices are particularly suitable for users who need to use them for extended periods or while on the move.

[0003] However, existing neckband-style smart wearable devices still face several technical bottlenecks in practical applications. First, while these devices can sense the surrounding environment and the user's status, the limited functionality of their sensing modules often prevents them from fully and accurately capturing the user's real-time needs, resulting in a poor user experience. Furthermore, existing devices offer limited support for special groups (such as the blind and physically disabled), making it difficult to provide personalized smart services and meet their specific needs in daily life and emergencies. Finally, the lack of intelligent comfort adjustment mechanisms during prolonged use can easily lead to user fatigue and discomfort, affecting the user experience and the device's practicality. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a neckband-style smart wearable device and a smart interaction system, which solves the problems of traditional smart interaction systems having limited functionality, difficulty in providing personalized services, and poor wearing comfort.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a neckband-style smart wearable device, comprising a main body with an internal fan structure and an interactive system, a projector and a camera respectively installed at both ends of the main body, an environmental sensor installed on the outer edge of the main body, a display screen for displaying the operating interface installed on the outer side of the main body away from the environmental sensor, a switch and a charging port installed on the outer side of the main body near the environmental sensor, a human body monitoring sensor for monitoring human health indexes located in the middle of the main body, vibration motors for providing tactile feedback fixedly installed on both sides of the middle of the main body, verification areas for providing fingerprint verification located on both outer sides of the main body, air vents for cooperating with the operation of the fan structure opened on both sides of the inner wall of the main body, and microphones installed on the inner walls at both ends of the main body.

[0006] A smart interaction system based on the above-mentioned neckband-style smart wearable device includes:

[0007] The main module is used for centralized control and management of the various functional modules of the system;

[0008] A sensing module, connected to the main module, is used to collect and analyze environmental data;

[0009] An interactive module, connected to the main module, is used to enable multimodal interaction with the user;

[0010] The display module, connected to the main module, is used to present system feedback information;

[0011] The health management module, connected to the main module, is used to monitor the user's health status and provide corresponding suggestions;

[0012] The disability assistance module, connected to the main module, is used to provide intelligent disability assistance channels for blind people and other disabled people;

[0013] The intelligent collaboration module is connected to the main module and is used to enable the collaborative work of intelligent drones, intelligent robots and intelligent driving.

[0014] An auxiliary payment module, connected to the main module, is used to assist blind or physically disabled people in making online payments.

[0015] The intelligent comfort module, connected to the main module, is used to automatically adjust the fan structure on the device by monitoring the user's perceived temperature, ambient temperature, and sweat.

[0016] Preferably, the sensing module includes:

[0017] The visual perception unit is used to collect visual information from the environment and to identify and analyze it.

[0018] A sound sensing unit is used to collect sound signals from the environment and perform speech recognition and processing; a location sensing unit is used to determine the geographical location of the user and device and provide location-related services. Preferably, the interaction module includes:

[0019] The voice interaction unit is used to achieve natural language understanding and voice response;

[0020] The gesture interaction unit is used to recognize the user's gestures and respond accordingly.

[0021] The touch interaction unit is used to enable interaction with the user via a touchscreen.

[0022] Preferably, the display module includes:

[0023] Display unit for displaying image and video content;

[0024] The projection unit is used to project system information onto the external surface;

[0025] Augmented reality units are used to overlay virtual information onto real-world scenes via projection.

[0026] Preferably, the health management module includes:

[0027] The physiological monitoring unit is used to monitor the user's physiological indicators, such as heart rate and blood pressure.

[0028] The motion monitoring unit is used to record the user's exercise data and perform health assessments.

[0029] The health feedback unit is used to provide health advice and early warnings based on monitoring data.

[0030] Preferably, the disability assistance module includes:

[0031] A navigation unit for the blind, designed to assist blind people with navigation through voice prompts and tactile feedback;

[0032] The text-to-speech unit is used to convert the text content displayed on the screen into speech output;

[0033] A voice assistant unit is used to recognize voice commands from blind or disabled users and execute corresponding operations; an emergency call unit is used to help disabled users quickly contact helpers in emergencies; and an assistive interaction unit is used to help disabled users operate the system through specific interaction methods. Preferably, the intelligent collaboration module includes:

[0034] The drone control unit is used to communicate with intelligent drones and control them to perform tasks;

[0035] Robot control unit, used to communicate with and coordinate the operation of the intelligent robot;

[0036] The intelligent driving unit is used to communicate with connected vehicles and provide autonomous driving assistance functions; the data exchange unit is used to transmit and share data between drones, robots and vehicles; and the collaborative work unit is used to enable drones, robots and vehicles to work together to complete complex tasks.

[0037] Preferably, the auxiliary payment module includes:

[0038] The voice payment unit is used to complete payment operations via voice commands.

[0039] A biometric unit is used to verify a user's identity through fingerprint, facial, or iris recognition.

[0040] A security verification unit is used to verify the security of the payment process and prevent fraud.

[0041] A payment feedback unit is used to confirm the payment result via voice or tactile feedback.

[0042] The human assistance unit is used to provide human support during the payment process, helping blind or physically disabled people to complete the payment operation smoothly.

[0043] Preferably, the intelligent comfort module includes:

[0044] The body temperature monitoring unit is used to monitor the user's body temperature in real time;

[0045] An ambient temperature monitoring unit is used to monitor the ambient temperature around the user.

[0046] The sweat monitoring unit is used to monitor the amount of sweat on the user's skin surface and works in conjunction with the body temperature and ambient temperature monitoring units as the bottom layer unit.

[0047] The fan control unit is used to automatically adjust the fan structure on the equipment based on monitoring results.

[0048] This invention provides a neckband-style smart wearable device and a smart interaction system. It has the following beneficial effects:

[0049] 1. The intelligent interactive system of this invention achieves comprehensive environmental perception and personalized user interaction experience through the collaborative work of the perception module and the interaction module. The visual perception unit, sound perception unit, and location perception unit in the perception module can collect and analyze environmental data around the user in real time, such as visual information, sound signals, and geographical location. This data, through the voice interaction unit, gesture interaction unit, and touch interaction unit in the interaction module, provides users with multimodal interaction methods, enabling the system to dynamically adjust the interaction methods and information display content according to the user's environment and current needs, thereby significantly improving the user experience and the system's adaptability.

[0050] 2. The intelligent interactive system of this invention, through the integration of a health management module and a disability assistance module, provides comprehensive monitoring of user health and intelligent support for people with disabilities. The physiological monitoring unit and motion monitoring unit in the health management module can track the user's health status in real time and provide personalized health advice or warnings through the health feedback unit. Furthermore, the blind navigation unit, text-to-speech unit, and emergency call unit in the disability assistance module provide navigation, information retrieval, and emergency assistance functions for blind people and other people with disabilities, greatly improving their independence and safety in daily life. This comprehensive support ensures that the system not only meets the needs of general users but also provides considerate services for special groups.

[0051] 3. The intelligent interactive system of this invention, through the combination of an intelligent collaboration module and an intelligent comfort module, achieves collaborative work among multiple devices and intelligent adjustment of user comfort. The drone control unit, robot control unit, and intelligent driving unit in the intelligent collaboration module, through the cooperation of a data exchange unit and a collaborative work unit, enable efficient collaborative work among drones, robots, and vehicles in complex tasks. Meanwhile, the intelligent comfort module, through real-time monitoring by a body temperature monitoring unit, an ambient temperature monitoring unit, and a sweat monitoring unit, combined with a fan control unit, automatically adjusts the operating status of the equipment to ensure user comfort. This integrated design not only improves the overall efficiency of the system but also guarantees a comfortable user experience during prolonged use. Attached Figure Description

[0052] Figure 1 This is a first-view perspective perspective view of the neckband-style smart wearable device of the present invention.

[0053] Figure 2 This is a second-view perspective perspective view of the neckband-style smart wearable device of the present invention;

[0054] Figure 3 This is a diagram showing the overall architecture of the intelligent interactive system of the present invention;

[0055] Figure 4 This is a schematic diagram of the sensing module of the present invention;

[0056] Figure 5 This is a schematic diagram of the interactive module of the present invention;

[0057] Figure 6 This is a schematic diagram of the display module of the present invention;

[0058] Figure 7 This is a schematic diagram of the health management module of the present invention;

[0059] Figure 8 This is a schematic diagram of the disability assistance module of the present invention;

[0060] Figure 9 This is a schematic diagram of the intelligent collaboration module of the present invention;

[0061] Figure 10 This is a schematic diagram of the auxiliary payment module of the present invention;

[0062] Figure 11 This is a schematic diagram of the intelligent comfort module of the present invention.

[0063] The components include: 1. Main body; 2. Projector; 3. Camera; 4. Environmental sensor; 5. Switch; 6. Charging interface; 7. Verification area; 8. Human body monitoring sensor; 9. Vibration motor; 10. Air outlet; 11. Microphone; and 12. Display screen. Detailed Implementation

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] Example:

[0066] Please see the appendix Figure 1 - Appendix Figure 11 This invention provides a neckband-style smart wearable device, comprising a main body 1 with an internal fan structure and an interactive system. A projector 2 and a camera 3 are respectively installed at both ends of the main body 1. The projector 2 is used to overlay and magnify images, and the camera 3 can be used to observe and identify the surrounding environment and also serves as the system's identification mechanism. An environmental sensor 4 is installed on the outer edge of the main body 1 to detect the surrounding environment, such as temperature and humidity. A display screen 12 for displaying the operating interface is installed on the outer side of the main body 1 away from the environmental sensor 4. A switch 5 and a charging port 6 are installed on the outer side of the main body 1 near the environmental sensor 4. A human body monitoring sensor 8 for monitoring human health indices is located in the middle of the main body 1. Vibration motors 9 for providing tactile feedback are fixedly installed on both sides of the middle of the main body 1. Verification areas 7 for fingerprint verification are located on both outer sides of the main body 1. Air outlets 10 for cooperating with the fan structure are opened on both sides of the inner wall of the main body 1. Microphones 11 are installed on the inner walls at both ends of the main body 1.

[0067] A smart interaction system based on the aforementioned neckband-style smart wearable device includes a main module, which comprises a high-performance processor for executing the system's main program and scheduling tasks between modules. The processor employs a multi-core architecture to support parallel processing and improve system response speed.

[0068] In this embodiment, the memory is used to store the operating system, applications, and user data. The memory is divided into two parts: one part is cache (RAM), which is used to store data of running tasks; the other part is long-term storage (flash memory), which is used to store system configuration, user preferences, and historical data.

[0069] In this embodiment, the communication interface includes a wireless module (Wi-Fi, Bluetooth) and a wired interface (USB, Ethernet). The wireless module is used for data interaction with external devices (smartphones, smart home devices), while the wired interface is used for data transmission and control with peripheral devices (printers, monitoring equipment).

[0070] In this embodiment, the main module's operating system is based on Linux or a real-time operating system (RTOS), which has the capabilities of task scheduling, multi-threaded processing, and real-time data processing. By setting the priorities of different tasks, it is ensured that critical tasks (security monitoring, emergency calls) can be executed first.

[0071] In this embodiment, the main module also integrates a security management unit to monitor the operating status of each module and the data transmission process, preventing unauthorized access and data tampering. The security management unit provides dual protection for system data through a hardware encryption engine and a software firewall.

[0072] Sensing module;

[0073] The perception module is responsible for collecting and analyzing environmental data around the user, including visual, auditory, and location information. Through multi-dimensional data collection, the perception module can accurately understand the user's environment and provide corresponding feedback or adjust the system's operating mode.

[0074] In this embodiment, the visual perception unit uses a high-resolution camera, along with image processing algorithms, to perform object recognition and face recognition. The image processing algorithm includes a deep learning model based on a convolutional neural network (CNN) for real-time analysis of objects in the video stream and outputting recognition results. This unit can connect to cloud services to enhance recognition accuracy using pre-trained models.

[0075] Convolutional Neural Network (CNN):

[0076]

[0077] in:

[0078] y k : The output of the k-th neuron.

[0079] f(·): Activation function (ReLU or sigmoid).

[0080] w ki : The weight of the k-th neuron.

[0081] x i Input data (image pixel values).

[0082] b k : The bias of the k-th neuron.

[0083] x i Image data captured from the camera is preprocessed (e.g., normalization, noise reduction).

[0084] w ki and b kObtained through the training process of a convolutional neural network (using the backpropagation algorithm).

[0085] In this embodiment, the sound perception unit employs a multi-microphone array, uses beamforming technology to improve the capture quality of the speech signal, and uses speech recognition technology (an ASR system based on a deep neural network) to extract the speech content. The speech recognition results of this unit can be used in subsequent voice interaction modules.

[0086] In this embodiment, the location sensing unit utilizes a GPS module combined with Wi-Fi and Bluetooth beacons for positioning, providing accurate indoor and outdoor positioning services. The location sensing unit improves positioning accuracy through data fusion algorithms and triggers corresponding system responses when a user enters a specific area.

[0087] The data fusion algorithm is as follows:

[0088] 1. Prediction steps:

[0089]

[0090] 2. Update steps:

[0091]

[0092] in:

[0093] The predicted state vector.

[0094] The updated state vector.

[0095] A: State transition matrix.

[0096] B: Control input matrix.

[0097] u k-1 : Control input vector.

[0098] The predicted covariance matrix.

[0099] P k : The updated covariance matrix.

[0100] Q: Process noise covariance matrix.

[0101] K k Kalman gain.

[0102] H: Observation matrix.

[0103] z k : Measurement vector.

[0104] R: Measurement noise covariance matrix.

[0105] I: Identity matrix.

[0106] Matrices A, B, and H are based on the physical model of the system or determined experimentally.

[0107] Q and R are obtained by analyzing noise characteristics.

[0108] z k This refers to data measured in real time (such as GPS positioning data).

[0109] Interactive module;

[0110] The interactive module provides a personalized user experience through multimodal interaction methods such as voice, gestures, and touch. The design of the interactive module allows the system to adapt to the interaction preferences and scenario needs of different users.

[0111] In this embodiment, the voice interaction unit employs Natural Language Processing (NLP) technology to understand and respond to user voice commands. The system first converts speech into text using Automatic Speech Recognition (ASR), then analyzes the text content using a semantic parser (based on BERT or GPT models), and finally generates a response which is then read aloud to the user via a Text-to-Speech (TTS) synthesizer.

[0112] In this embodiment, the gesture interaction unit utilizes a depth camera and a gesture recognition algorithm to identify the user's gestures. The gesture recognition algorithm includes a gesture classifier based on a convolutional neural network (CNN), which can extract features from the image sequence captured by the camera and recognize specific gesture commands (waving, grasping, etc.).

[0113] In this embodiment, the touch interaction unit uses a capacitive multi-touch screen, which senses touch events by detecting changes in capacitance at the finger's contact point. This unit supports complex gesture operations, including zooming, rotating, and swiping, and enhances the user's interactive experience through haptic feedback (vibration).

[0114] Display module;

[0115] The display module provides visual feedback to users and supports multiple display methods, including traditional screen display, projection display and augmented reality (AR) display.

[0116] In this embodiment, the display unit uses a high-resolution LCD or OLED panel, supporting resolutions of 1080p and above, and featuring high brightness and a wide color gamut, making it suitable for use under various lighting conditions. The display generates the UI interface through the system's interface rendering engine (a rendering library based on OpenGL or DirectX).

[0117] In this embodiment, the projection unit employs micro-laser projection technology, capable of projecting 1080p resolution images onto a wall or other flat surface. The unit utilizes autofocus and keystone correction algorithms to ensure the clarity and correct aspect ratio of the projected image.

[0118] In this embodiment, the augmented reality unit overlays virtual information onto the user's real-world field of vision via a projection structure or by connecting to AR glasses. This unit utilizes computer vision technology to track the user's head movements in real time and projects the image onto objects.

[0119] Health management module;

[0120] The health management module continuously monitors the user's physiological status and provides health advice or alerts to help the user maintain good health.

[0121] In this embodiment, the physiological monitoring unit integrates a heart rate sensor, a blood pressure sensor, and a blood oxygen sensor to collect the user's physiological data in real time. The data is transmitted to the main module via Bluetooth or Wi-Fi for analysis by the health management software.

[0122] In this embodiment, the motion monitoring unit uses an accelerometer, gyroscope, and GPS module to record the user's motion data. The motion data is analyzed using a signal processing algorithm (Fourier transform) to generate a motion report.

[0123] In this embodiment, the health feedback unit generates health suggestions based on physiological and exercise monitoring data, using a health assessment algorithm (a health risk prediction model based on machine learning), and prompts the user to adjust their lifestyle through voice or text.

[0124] Module for assisting people with disabilities;

[0125] The disability assistance module provides comprehensive intelligent support for blind people and other disabled people, helping them gain greater independence in their daily lives.

[0126] In this embodiment, the navigation unit for the blind combines GPS positioning and voice prompts to provide real-time route guidance for blind users. The navigation software uses Geographic Information System (GIS) data and traffic information to calculate the optimal route and broadcasts navigation information in real time through a speech synthesizer.

[0127] In this embodiment, the text-to-speech unit uses Optical Character Recognition (OCR) technology to recognize the text content on the screen and convert it into speech output. The OCR algorithm is based on a Convolutional Neural Network (CNN) and can accurately recognize text in various fonts and formats.

[0128] In this embodiment, the voice assistant unit utilizes speech recognition and natural language processing technologies to help users complete various operations, such as making phone calls and sending messages. The voice assistant controls the interaction flow through a dialogue manager to ensure the accuracy and smoothness of the operation.

[0129] In this embodiment, the emergency call unit automatically dials the emergency contact number or sends a request for help with a single click. This unit integrates GPS positioning functionality, enabling it to send the user's location information in emergency situations.

[0130] In this embodiment, the auxiliary interaction unit assists the user in completing system operations through haptic feedback or voice prompts. This unit utilizes a vibration motor or speaker to provide timely operational feedback, enhancing the user experience.

[0131] Intelligent collaboration module;

[0132] The intelligent collaboration module accomplishes complex collaborative tasks by working in conjunction with intelligent drones, intelligent robots, and intelligent driving systems.

[0133] In this embodiment, the UAV control unit exchanges data with the intelligent UAV and controls its flight status via a wireless communication module (Wi-Fi, 4G / 5G). The UAV control software, based on flight control algorithms (PID control) and path planning algorithms, ensures the successful completion of the mission.

[0134] In this embodiment, the robot control unit transmits data with the intelligent robot via a wireless communication module to coordinate its operations in the factory or warehouse. The robot control software uses a robot operating system (ROS) to enable multi-robot collaborative work and task scheduling.

[0135] In this embodiment, the intelligent driving unit interacts with the autonomous driving system of the connected vehicle to provide route planning and vehicle control. This unit uses path planning algorithms to ensure safe driving in complex road conditions.

[0136] The path planning algorithm is as follows:

[0137] f(n) = g(n) + h(n)

[0138] in:

[0139] f(n) is the total cost of node n.

[0140] g(n) is the actual cost from the starting point to node n.

[0141] h(n) is the heuristically estimated cost from node n to the target node.

[0142] g(n) is obtained by accumulating the actual path length from the starting point to the current node.

[0143] h(n) uses Euclidean distance or Manhattan distance as the estimation function.

[0144] In this embodiment, the data exchange unit uses a secure encrypted communication protocol (TLS / SSL) to achieve data synchronization and sharing between the drone, robot, and vehicle, ensuring information consistency in collaborative tasks.

[0145] In this embodiment, the collaborative work unit integrates the working status and task progress of all participating devices, and uses a distributed task scheduling algorithm (based on the MapReduce framework of distributed computing) to dynamically allocate task resources and optimize the collaborative efficiency of the entire system.

[0146] Auxiliary payment module;

[0147] The assisted payment module helps blind or physically disabled people complete online payment operations safely and conveniently.

[0148] In this embodiment, the voice payment unit completes the payment operation through voice commands, utilizing Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) technologies to identify the user's payment instructions. The system guides the user through a series of voice prompts to gradually complete the payment confirmation.

[0149] In this embodiment, the biometric unit integrates fingerprint recognition, facial recognition, or iris recognition technologies for identity verification. The unit's recognition algorithm is based on a deep learning model, ensuring high-accuracy identity verification and preventing unauthorized payments.

[0150] In this embodiment, the security verification unit employs a multi-layered security mechanism, including two-factor authentication (OTP SMS verification) and real-time monitoring, to ensure the security of the payment process. Upon detecting abnormal behavior, the system immediately suspends the payment operation and provides a voice or text notification to the user.

[0151] In this embodiment, the payment feedback unit provides the user with payment results via voice or haptic feedback. The system uses text-to-speech (TTS) technology to generate voice prompts indicating successful or failed payment, ensuring the user clearly understands the payment status.

[0152] In this embodiment, the human assistance unit provides real-time human assistance during the payment process. Users can call human customer service via voice or touch screen to guide them through the payment process or provide support when encountering problems.

[0153] Intelligent comfort module;

[0154] The intelligent comfort module monitors the user's perceived temperature, ambient temperature, and perspiration levels, and automatically adjusts the device's fan structure to ensure user comfort.

[0155] In this embodiment, the body temperature monitoring unit uses a temperature sensor (NTC thermistor) placed close to the user's skin to monitor the user's body temperature in real time. The temperature data is transmitted to the main module via an analog-to-digital converter (ADC) for analysis of the user's thermal comfort.

[0156] In this embodiment, the ambient temperature monitoring unit uses an external temperature sensor (DS18B20 digital temperature sensor) to monitor the ambient temperature around the user. The data from this unit is combined with the data from the perceived temperature monitoring unit to determine the user's actual heat load.

[0157] In this embodiment, the sweat monitoring unit monitors the amount of sweat on the user's skin surface using a conductivity sensor. The sweat sensor is made of nanomaterials, has high sensitivity, and can quickly respond to the user's sweating patterns. It also functions as the lowest-level unit in conjunction with the body temperature and ambient temperature monitoring units.

[0158] In this embodiment, the fan control unit automatically adjusts the fan's operating status based on data from the user's perceived temperature, ambient temperature, and sweat monitoring unit. The control algorithm is based on PID control, providing a suitable cooling effect by adjusting the fan speed. When the monitoring results show that the user's temperature has returned to normal, the fan automatically turns off to save energy.

[0159] Control Algorithm:

[0160]

[0161] in:

[0162] u(t): Control signal (fan speed).

[0163] e(t): Error signal, i.e., the difference between the target temperature and the current temperature.

[0164] K p Proportional gain: The degree to which the control system responds to the current error.

[0165] K i Integral gain: The degree of response of the control system to accumulated errors.

[0166] K d Differential gain: The degree to which a control system responds to changes in the rate of error.

[0167] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A neckband-style smart wearable device, comprising a main body (1) with an internal fan structure and an interactive system, characterized in that, Projector (2) and camera (3) are respectively installed at both ends of the main body (1). An environmental sensor (4) is installed on the outer edge of the main body (1). A display screen (12) for displaying the operation interface is installed on the side of the main body (1) away from the environmental sensor (4). A switch (5) and a charging interface (6) are installed on the side of the main body (1) close to the environmental sensor (4). A human monitoring sensor (8) for monitoring human health index is set in the middle of the main body (1). Vibration motors (9) for providing tactile feedback are fixedly installed on both sides of the middle of the main body (1). Verification areas (7) for providing fingerprint verification are set on both sides of the outer side of the main body (1). Air outlets (10) for cooperating with the operation of the fan structure are opened on both sides of the inner wall of the main body (1). Microphones (11) are installed on the inner walls at both ends of the main body (1).

2. The intelligent interaction system based on the neckband-style smart wearable device according to claim 1, characterized in that, include: The main module is used for centralized control and management of the various functional modules of the system; A sensing module, connected to the main module, is used to collect and analyze environmental data; An interactive module, connected to the main module, is used to enable multimodal interaction with the user; The display module, connected to the main module, is used to present system feedback information; The health management module, connected to the main module, is used to monitor the user's health status and provide corresponding suggestions; The disability assistance module, connected to the main module, is used to provide intelligent disability assistance channels for blind people and other disabled people; The intelligent collaboration module is connected to the main module and is used to enable the collaborative work of intelligent drones, intelligent robots and intelligent driving. An auxiliary payment module, connected to the main module, is used to assist blind or physically disabled people in making online payments. The intelligent comfort module, connected to the main module, is used to automatically adjust the fan structure on the device by monitoring the user's perceived temperature, ambient temperature, and sweat.

3. The intelligent interactive system according to claim 2, characterized in that, The sensing module includes: The visual perception unit is used to collect visual information from the environment and to identify and analyze it. The sound sensing unit is used to collect sound signals from the environment and perform speech recognition and processing. Location-aware units are used to determine the geographical location of users and devices and provide location-related services.

4. The intelligent interactive system according to claim 2, characterized in that, The interactive module includes: The voice interaction unit is used to achieve natural language understanding and voice response; The gesture interaction unit is used to recognize the user's gestures and respond accordingly. The touch interaction unit is used to enable interaction with the user via a touchscreen.

5. The intelligent interactive system according to claim 2, characterized in that, The display module includes: Display unit for displaying image and video content; The projection unit is used to project system information onto the external surface; Augmented reality units are used to overlay virtual information onto real-world scenes via projection.

6. The intelligent interactive system according to claim 2, characterized in that, The health management module includes: The physiological monitoring unit is used to monitor the user's physiological indicators, such as heart rate and blood pressure. The motion monitoring unit is used to record the user's exercise data and perform health assessments. The health feedback unit is used to provide health advice and early warnings based on monitoring data.

7. The intelligent interactive system according to claim 2, characterized in that, The disability assistance module includes: A navigation unit for the blind, designed to assist blind people with navigation through voice prompts and tactile feedback; The text-to-speech unit is used to convert the text content displayed on the screen into speech output; The voice assistant unit is used to recognize the voice commands of blind or disabled users and execute corresponding operations. An emergency call unit is used to help disabled users quickly contact helpers in emergency situations; The assistive interaction unit is used to help disabled users operate the system through specific interaction methods.

8. The intelligent interactive system according to claim 2, characterized in that, The intelligent connectivity and collaboration module includes: The drone control unit is used to communicate with intelligent drones and control them to perform tasks; Robot control unit, used to communicate with and coordinate the operation of the intelligent robot; Intelligent driving unit, used to communicate with connected vehicles and provide autonomous driving assistance functions; Data exchange unit, used for data transmission and sharing between drones, robots and vehicles; Collaborative work units are used to enable drones, robots, and vehicles to work together to complete complex tasks.

9. The intelligent interactive system according to claim 2, characterized in that, The auxiliary payment module includes: The voice payment unit is used to complete payment operations via voice commands. A biometric unit is used to verify a user's identity through fingerprint, facial, or iris recognition. A security verification unit is used to verify the security of the payment process and prevent fraud. A payment feedback unit is used to confirm the payment result via voice or tactile feedback. The human assistance unit is used to provide human support during the payment process, helping blind or physically disabled people to complete the payment operation smoothly.

10. The intelligent interactive system according to claim 2, characterized in that, The intelligent comfort module includes: The body temperature monitoring unit is used to monitor the user's body temperature in real time; An ambient temperature monitoring unit is used to monitor the ambient temperature around the user. The sweat monitoring unit is used to monitor the amount of sweat on the user's skin surface and works in conjunction with the body temperature and ambient temperature monitoring units as the bottom layer unit. The fan control unit is used to automatically adjust the fan structure on the equipment based on monitoring results.

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