Multifunctional automatic embedded man-machine interaction system

Abstract

The invention provides a multifunctional automatic embedded man-machine interaction system, which belongs to the technical field of man-machine interaction and comprises a core processor, a touch display screen, a sensor module, a communication module and a storage module, software covers a multi-mode interaction interface, an automatic task execution module, an intelligent learning and personalized recommendation module and a data security and privacy protection module, the touch display screen is a high-resolution multi-point touch screen, the sensor module comprises various sensors, the communication module has various connection modes, the multi-mode interaction interface supports various operation modes, and the multi-mode interaction interface supports various operation modes. The automatic task execution module can automatically execute tasks according to conditions, the intelligent learning and personalized recommendation module can provide personalized services, the data security and privacy protection module guarantees data security, the problems that an existing system is single in function and low in automation degree, and data security has hidden dangers are solved, and user experience and working efficiency are improved.

Description

Technical Field

[0001] This invention belongs to the field of human-computer interaction technology, and specifically relates to a multifunctional automated embedded human-computer interaction system. Background Technology

[0002] In the current field of human-computer interaction (HCI) technology, existing HCI systems suffer from numerous shortcomings. Their functions are relatively limited, often only meeting simple interaction needs in specific scenarios and failing to adapt to complex and ever-changing application environments. For example, some systems only support limited interaction methods, such as simple touch operation or voice command input, lacking the integration of multiple interaction methods. This restricts user operation choices and the user experience. Existing embedded HCI systems also have low levels of automation, requiring significant manual operation and settings from the user. For instance, the system cannot automatically adjust the display brightness when ambient light changes; it cannot automatically enter standby mode to save power when the device is not used for a long time. Furthermore, existing systems also have vulnerabilities in data security and privacy protection, making user data susceptible to leakage or unauthorized access, posing security risks to users.

[0003] This invention provides a multifunctional automated embedded human-computer interaction system designed to address the problems existing in the prior art. By integrating multiple hardware modules and software functions, it achieves multifunctionality, high automation, embedded operation, and robust data security and privacy protection. The system's hardware includes a core processor, a high-resolution, high-sensitivity multi-touch display, a sensor module integrating multiple sensors, a communication module including Bluetooth, Wi-Fi, and a wired network interface, and a storage module. These modules work collaboratively to provide the system with powerful computing and control capabilities, rich environmental awareness, diverse communication connection methods, and data storage support. The software encompasses a multimodal interactive interface, an automated task execution module, an intelligent learning and personalized recommendation module, and a data security and privacy protection module. The multimodal interactive interface supports touch operation, voice command input, and gesture recognition to meet the personalized needs of different user groups; the automated task execution module can automatically execute corresponding tasks according to preset rules and conditions, improving user experience and work efficiency; the intelligent learning and personalized recommendation module provides personalized recommendation services to users by analyzing and learning user interaction behavior and usage habits; the data security and privacy protection module uses encryption algorithms to encrypt the storage and transmission of user data and sets up a user permission management mechanism to effectively protect user data security. Summary of the Invention

[0004] The purpose of this invention is to provide a multifunctional automated embedded human-computer interaction system, which aims to solve the problems of existing human-computer interaction systems having relatively simple functions, usually only able to meet simple interaction needs in specific scenarios, unable to meet complex and ever-changing application environments, supporting only a limited number of interaction methods, lacking the integration of multiple interaction modes, limiting user operation choices, and reducing the user experience.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A multifunctional automated embedded human-computer interaction system includes;

[0007] The hardware component includes a core processor, a touch display screen, a sensor module, a communication module, and a storage module, wherein the core processor is connected to the touch display screen, the sensor module, the communication module, and the storage module respectively.

[0008] The software component includes a multimodal interactive interface, an automated task execution module, an intelligent learning and personalized recommendation module, and a data security and privacy protection module, and the software component runs on the core processor.

[0009] The system response time calculation formula is: T = Tproc + Tcomm + Tdisp, where T represents the overall system response time, Tproc represents the time required for the core processor to process tasks, Tcomm represents the time required for the communication module to transmit data, and Tdisp represents the time required for the touch screen to display a response. This formula is used to measure the system's response performance and ensure that the system can quickly respond to user operations during interaction.

[0010] As a preferred embodiment of the present invention, the touch display screen is a high-resolution, high-sensitivity multi-touch display screen.

[0011] As a preferred embodiment of the present invention, the touch display screen is a high-resolution, high-sensitivity multi-touch display screen.

[0012] As a preferred embodiment of the present invention, the sensor module includes an accelerometer, a gyroscope, an optical fiber sensor, and a distance sensor.

[0013] As a preferred embodiment of the present invention, the communication module includes a Bluetooth module, a Wi-Fi module, and a wired network interface.

[0014] As a preferred embodiment of the present invention, the multimodal interactive interface supports touch operation, voice command input, and gesture recognition.

[0015] As a preferred embodiment of the present invention, the automated task execution module can automatically execute corresponding tasks according to preset rules and conditions;

[0016] Formula for triggering automated tasks: C = f(1, (S2...S) n ), where C represents the judgment result of the automated task triggering condition, S1, S2...S n These represent the data collected by each sensor or the system status parameters, respectively. f is a user-defined function. This formula is used to determine under what circumstances a specific task is automatically executed to achieve the system's automated control function.

[0017] As a preferred embodiment of the present invention, the intelligent learning and personalized recommendation module can provide users with personalized recommendation services by analyzing and learning users' interactive behaviors and usage habits;

[0018] Recommendation algorithm formula: R = g(U,I,H), where U represents the recommendation result, I represents the user feature vector, H represents the item feature vector, g represents the user's historical interaction data, and is the recommendation algorithm function. This formula is used to calculate recommended content based on the user's personalized information to improve user experience and satisfaction.

[0019] As a preferred embodiment of the present invention, the data security and privacy protection module uses an encryption algorithm to encrypt and store user data and transmits it, and sets up a user permission management mechanism;

[0020] Data encryption formula: E = Encrgpt(D,K), where E represents the encrypted data, D represents the original data, K represents the encryption key, and Encbpt represents the encryption function. This formula is used to ensure the security of user data during storage and transmission, and to prevent data leakage and unauthorized access.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] 1. This solution integrates multiple hardware modules (core processor, touch screen, sensor module, communication module, and storage module) and software functions (multimodal interactive interface, automated task execution module, intelligent learning and personalized recommendation module, and data security and privacy protection module) to achieve the fusion of multiple interaction methods. The touch screen is a high-resolution, high-sensitivity multi-touch display that supports touch operation. The multimodal interactive interface also supports voice command input and gesture recognition, solving the problem of the single function of existing systems, meeting the personalized needs of different user groups in complex application environments, and improving user operation choices and user experience.

[0023] 2. In this solution, the automated task execution module can automatically execute corresponding tasks according to preset rules and conditions. For example, using data collected by the sensor module (fiber optic sensor to sense light intensity, device usage time, etc.), it can automatically adjust the screen brightness when the ambient light is dim, and automatically enter standby mode when the device has not been used for a long time. This solves the problem of low automation in existing embedded human-computer interaction systems, reduces manual operation and intervention by users, and improves user experience and work efficiency.

[0024] 3. In this solution, the data security and privacy protection module uses encryption algorithms to encrypt the storage and transmission of user data, and sets up a user access control mechanism. When storing data, encryption functions are used to process the original data and encryption keys to obtain encrypted data before storage. During data transmission, the data to be transmitted is also encrypted, and only authorized users can access and operate the relevant data. This solves the data security risks of the existing system, effectively prevents data leakage and unauthorized access, and enhances users' trust in the system. Detailed Implementation

[0025] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. 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 of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1

[0027] This invention provides the following technical solutions:

[0028] A multifunctional automated embedded human-computer interaction system includes;

[0029] The hardware component includes a core processor, a touch display screen, a sensor module, a communication module, and a storage module, wherein the core processor is connected to the touch display screen, the sensor module, the communication module, and the storage module respectively.

[0030] The software component includes a multimodal interactive interface, an automated task execution module, an intelligent learning and personalized recommendation module, and a data security and privacy protection module, and the software component runs on the core processor.

[0031] The system response time calculation formula is: T = Tproc + Tcomm + Tdisp, where T represents the overall system response time, Tproc represents the time required for the core processor to process tasks, Tcomm represents the time required for the communication module to transmit data, and Tdisp represents the time required for the touch screen to display a response. This formula is used to measure the system's response performance and ensure that the system can quickly respond to user operations during interaction.

[0032] In a specific embodiment of the present invention, the hardware component is as follows:

[0033] Core processor: As the computing and control core of the entire system, it bears the heavy responsibility of handling various tasks. It receives data from the sensor modules, executes instructions from the software, and controls and coordinates the touch screen, communication module, and storage module. The performance of the core processor directly determines the system's operating speed and processing power, enabling it to quickly respond to various interactive instructions and handle complex tasks, ensuring the system's efficient and stable operation.

[0034] Touchscreen display: Provides users with an intuitive and convenient interface. Its high resolution and sensitivity allow users to clearly see the displayed content and easily perform interactive operations such as menu selection and parameter settings via touch. Multi-touch functionality further enriches the user's operating methods, improving operational flexibility and convenience.

[0035] Sensor Module: Integrating multiple sensors, this module provides real-time sensing of the device's motion status, ambient light intensity, and distance to objects. Accelerometers and gyroscopes detect the device's motion and changes in direction, providing motion sensing capabilities. Fiber optic sensors automatically adjust the touchscreen brightness based on ambient light intensity, improving the user's visual experience and saving power. Proximity sensors detect the distance between the device and objects, enabling proximity sensing and other functions. These sensors provide the system with rich environmental awareness capabilities, allowing it to automatically adjust settings and execute corresponding tasks based on actual conditions.

[0036] Communication module: Enables communication between the system and external devices. Bluetooth and Wi-Fi modules allow users to wirelessly connect to other smart devices, such as mobile phones and tablets, enabling data transfer and sharing, thus expanding the system's application scope. The wired network interface allows the system to access the internet, obtain online resources and services, and achieve remote control and management functions. The communication module provides the system with a channel for information exchange with the outside world, enabling the system to better meet the diverse needs of users.

[0037] Storage Module: Employs a large-capacity embedded memory to store system programs, user data, interaction logs, and other information. The storage module's fast read / write capabilities ensure the system can quickly load and store data, improving system efficiency and response speed. Simultaneously, the storage module provides data support for the system's intelligent learning and personalized recommendation functions, recording user interaction behaviors and usage habits for system analysis and learning.

[0038] II. Software Components:

[0039] Multimodal Interface: Develop an intuitive and concise multimodal interface that supports various interaction methods such as touch operation, voice command input, and gesture recognition. Users can choose the appropriate interaction method according to their preferences and actual needs to interact with the system. This multimodal interaction improves the system's usability and interactivity, meets the personalized needs of different user groups, and provides users with a more convenient and natural interactive experience.

[0040] Automated Task Execution Modules: This feature includes a series of built-in automated task execution modules that can automatically execute corresponding tasks based on preset rules and conditions. For example, when the system detects low ambient light, it automatically adjusts the display brightness; when the device has not been used for a long time, it automatically enters standby mode to save power; when the user connects to a specific Wi-Fi network, it automatically launches relevant applications, etc. The execution of these automated tasks reduces manual operation and intervention by the user, improves the user experience and work efficiency, and makes the system more intelligent and convenient.

[0041] Intelligent Learning and Personalized Recommendation Module: This module features intelligent learning capabilities. By analyzing and learning from user interactions and usage habits, it understands users' interests, hobbies, and preferences. Based on these learning results, the system can provide personalized recommendation services, such as recommending relevant applications and content resources. This module continuously optimizes the recommendation algorithm based on user feedback, improving the accuracy and satisfaction of recommendations, and providing users with more considerate and personalized services.

[0042] Data Security and Privacy Protection Module: This module places great emphasis on data security and privacy protection, employing various security technologies and measures to ensure the safety of user data. User data is encrypted during storage and transmission to prevent data leakage; a strict user access control mechanism is in place, ensuring only authorized users can access and manipulate relevant data; and regular system security checks and vulnerability patching are performed to prevent external attacks and malware intrusions. This module provides strong protection for user data security and enhances user trust in the system.

[0043] III. System Response Time Calculation Formula: This formula measures the system's response performance, ensuring that the system can quickly respond to user operations during interaction. By decomposing the overall system response time T into three parts: the time required for the core processor to process tasks (Tproc), the time required for the communication module to transmit data (Tcomm), and the time required for the touch screen to display the response (Tdisp), the response time of the system at different stages can be more accurately evaluated, allowing for targeted optimization and improvement. For example, if a long system response time is found, the response time of each part can be reduced by optimizing the core processor's algorithm, increasing the transmission speed of the communication module, or improving the touch screen's display technology, thereby improving the overall system response performance.

[0044] Specifically, in this solution, the touch display screen is a high-resolution, high-sensitivity multi-touch display screen.

[0045] In this embodiment: The high-resolution touchscreen display can clearly present various information and images, whether text, icons, or video content, all displayed to the user with exquisite image quality. High sensitivity allows the system to respond quickly and accurately to user touch operations, reducing operation latency. Multi-touch functionality allows users to operate with multiple fingers, such as zooming in and out of images, and swiping pages, greatly improving the convenience and flexibility of operation. For example, when viewing images, users can easily zoom in or out with two fingers; when browsing web pages, they can quickly switch pages by swiping their fingers.

[0046] Specifically, in this solution, the sensor module includes an accelerometer, a gyroscope, an optical fiber sensor, and a distance sensor.

[0047] In this embodiment: The accelerometer and gyroscope can detect the device's motion state and directional changes. For example, when a user plays a game on a mobile device with this human-computer interaction system, the accelerometer can sense the device's tilt and shaking, thereby enabling control operations in the game; the gyroscope can more accurately detect the device's rotation angle, providing support for applications requiring precise directional control. The fiber optic sensor can automatically adjust the brightness of the touchscreen display according to the intensity of ambient light, reducing brightness in low light to protect the user's eyes and increasing brightness in strong light to ensure clear visibility of the screen content. The proximity sensor can detect the distance between the device and objects; for example, during a call, when the phone is close to the face, the proximity sensor will detect this and automatically turn off the screen to prevent accidental touches.

[0048] Specifically, in this solution, the communication module includes a Bluetooth module, a Wi-Fi module, and a wired network interface.

[0049] In this embodiment: the Bluetooth module can easily connect to other Bluetooth devices, such as Bluetooth speakers and Bluetooth headsets, to achieve audio output or wireless calling functions. Users can transmit audio content from the human-computer interaction system to a Bluetooth speaker for playback, obtaining a better listening experience. The Wi-Fi module allows the device to access wireless networks, enabling users to access the internet, download applications, browse web pages, and watch online videos. The wired network interface provides a stable and reliable network connection. In scenarios with high network stability requirements, such as industrial control or large-scale data transmission, a wired network connection can ensure the reliability and speed of data transmission.

[0050] Specifically, in this solution, the multimodal interactive interface supports touch operation, voice command input, and gesture recognition.

[0051] In this embodiment: Touch operation is the most common interaction method. Users can complete various tasks, such as selecting menu options, entering text, and adjusting settings, by tapping, swiping, and long-pressing on the touch screen. Voice command input provides users with a more convenient operation method. When users' hands are busy or inconvenient to touch, they can control the device through voice commands. For example, users can say commands such as "open the music player" or "check the weather," and the system will automatically execute the corresponding operations. Gesture recognition brings users a more natural and intuitive interactive experience. For example, users can switch pages by waving their hands or zoom in and out of images by drawing circles. Support for multimodal interactive interfaces allows users to choose the most suitable interaction method according to different scenarios and needs, improving the efficiency and convenience of human-computer interaction.

[0052] Specifically, in this solution, the intelligent learning and personalized recommendation module can analyze and learn from users' interactive behaviors and usage habits to provide users with personalized recommendation services.

[0053] Recommendation algorithm formula: R = g(U,I,H), where U represents the recommendation result, I represents the user feature vector, H represents the item feature vector, g represents the user's historical interaction data, and is the recommendation algorithm function. This formula is used to calculate recommended content based on the user's personalized information to improve user experience and satisfaction.

[0054] In this embodiment: This module can continuously collect user interaction data during system operation, such as content clicked by the user, browsing duration, and search keywords. By analyzing this data, user interests and behavioral patterns are extracted, thereby constructing a user feature vector U.

[0055] Simultaneously, features are extracted from items in the system (such as applications, content resources, etc.) to form item feature vector I.

[0056] By combining user's historical interaction data H, and using the recommendation algorithm function g, a personalized recommendation result R is obtained. For example, if a user frequently browses technology news and watches technology videos, the system may recommend some new technology information apps or related technology lecture videos.

[0057] This can improve user experience and satisfaction, allowing users to find content that matches their interests more quickly and reducing the time spent searching and filtering.

[0058] Specifically, in this solution, the data security and privacy protection module uses encryption algorithms to encrypt the storage and transmission of user data, and sets up a user access control mechanism;

[0059] Data encryption formula: E = Encrgpt(D,K), where E represents the encrypted data, D represents the original data, K represents the encryption key, and Encbpt represents the encryption function. This formula is used to ensure the security of user data during storage and transmission, and to prevent data leakage and unauthorized access.

[0060] In this embodiment: Regarding user data storage, when user data is stored in the system's storage module, the original data D and the encryption key K are first encrypted using the Encrypt function, resulting in encrypted data E, which is then stored. This ensures that even if the storage device is illegally accessed, the user data cannot be deciphered without the correct encryption key, effectively preventing data leakage.

[0061] During data transmission, the data is also encrypted to ensure its security during network transmission. For example, when a user transmits data to an external device via a communication module, the system automatically encrypts the transmitted data, and the recipient can only decrypt the data if they possess the correct decryption key.

[0062] At the same time, a user access control mechanism is implemented, assigning different permission levels to different users. Only authorized users can access and manipulate specific data, further enhancing data security and privacy protection.

[0063] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multifunctional automated embedded human-computer interaction system, characterized in that: include; The hardware part includes a core processor, a touch screen, a sensor module, a communication module and a storage module, and the core processor is connected to the touch screen, the sensor module, the communication module and the storage module respectively; The software part includes a multimodal interactive interface, an automated task execution module, an intelligent learning and personalized recommendation module, and a data security and privacy protection module, and the software part runs on the core processor; The system response time calculation formula is: T=Tproc+Tcomm+Tdisp, where T represents the overall system response time, Tproc represents the time required for the core processor to process tasks, Tcomm represents the time required for the communication module to transmit data, and Tdisp represents the time required for the touch screen to respond. This formula is used to measure the system's response performance and ensure that the system can respond quickly to user operations during the interaction process.

2. A multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The touch display screen is a high-resolution, high-sensitivity multi-touch display screen.

3. A multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The sensor module includes an acceleration sensor, a gyroscope, a fiber optic sensor and a distance sensor.

4. A multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The communication module includes a Bluetooth module, a Wi-Fi module and a wired network interface.

5. The multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The multimodal interactive interface supports touch operation, voice command input and gesture recognition.

6. A multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The automated task execution module can automatically execute corresponding tasks according to preset rules and conditions; Automation task trigger condition formula: C=f(1,(S2...S n ), where C represents the judgment result of the triggering condition of the automation task, S1, S2...S n They represent the data collected by each sensor or the system status parameters respectively, and f is a user-defined function relationship. This formula is used to determine under what circumstances to automatically execute a specific task and realize the automatic control function of the system.

7. The multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The intelligent learning and personalized recommendation module can provide users with personalized recommendation services by analyzing and learning users' interactive behaviors and usage habits; Recommendation algorithm formula: R=g(U,I,H), where U represents the recommendation result, I represents the user feature vector, H represents the item feature vector, and g represents the user's historical interaction data. It is the recommendation algorithm function. This formula is used to calculate the recommended content based on the user's personalized information to improve user experience and satisfaction.

8. The multifunctional automated embedded human-computer interaction system according to claim 1, characterized in that: The data security and privacy protection module uses encryption algorithms to encrypt, store and transmit user data, and sets up a user rights management mechanism; Data encryption formula: E=Encrgpt(D,K), where E represents the encrypted data, D represents the original data, K represents the encryption key, and Encbpt represents the encryption function. This formula is used to ensure the security of user data during storage and transmission, and prevent data leakage and illegal access.