system

Abstract

Provide a system. A device for detecting the connection of a new electronic device; a means for collecting basic information about the detected electronic device; means for selecting an appropriate configuration profile based on the collected basic information; means for applying the selected configuration profile to the electronic device; A means for performing a communication test of the applied settings; means for notifying the user of the results of the communication test; a means of updating the system based on collected information and feedback; A system including:

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In modern homes, the number of electronic devices connected to networks (routers, computers, smartphones, televisions, game consoles, recorders, surveillance cameras, air conditioners, refrigerators, etc.) is increasing. Connecting these devices to a network requires a wide range of settings, often requiring specialized knowledge. This places a significant burden on users with limited knowledge. It's also a hassle to have to relearn how to connect each new device every time it hits the market. Furthermore, incorrect or insufficient settings can cause electronic devices to malfunction or jeopardize network security. There's a need for a system that can resolve these issues and improve the convenience and safety of home networks. [Means for solving the problem]

[0005] To address this issue, the present invention provides a system that includes a means for detecting the connection of a new electronic device, a means for collecting basic information about the detected electronic device, a means for selecting an appropriate configuration profile based on the collected basic information, a means for applying the selected configuration profile to the electronic device, a means for conducting a communication test of the settings after the profile has been applied, a means for notifying the user of the results of the communication test, and a means for updating the system based on the collected information and feedback. By including a means for detecting the connection of a new electronic device to a network and a means for collecting basic information, including the MAC address and IP address of the electronic device, the system achieves rapid and accurate configuration while minimizing user intervention. Furthermore, by including a means for conducting a communication test after applying the configuration profile and notifying the user if an abnormality is detected, the system can improve network security and communication reliability. This allows users to easily and safely connect electronic devices to a home network without specialized knowledge.

[0006] "New electronic devices" refer to devices that are newly connected to home networks, and include a wide range of devices such as routers, computers, smartphones, televisions, game consoles, recorders, surveillance cameras, air conditioners, and refrigerators.

[0007] "Means for detecting" refers to means for identifying when a new electronic device is connected to a network, and includes functions for monitoring network traffic and recognizing device connection requests.

[0008] "Basic information" refers to the identification information and communication information specific to an electronic device, including, specifically, the MAC address, IP address, and manufacturer name.

[0009] "Means for collecting" refers to means for acquiring basic information from electronic devices, and includes the function of collecting necessary data through network communications.

[0010] The "appropriate setting profile" refers to profile information for optimal operation and security settings depending on the type and characteristics of the electronic device.

[0011] The "means for selecting" is a means for selecting the most suitable setting profile from the database based on the collected basic information.

[0012] The "means for applying" refers to the means for actually applying the selected setting profile to the electronic device, and includes network settings and security settings.

[0013] A "means for performing a communication test" is a means for attempting to communicate with an electronic device and evaluating the results to confirm that the settings have been applied correctly.

[0014] The "means for notifying the user" refers to a means for notifying the user of the results of the settings and communication test, and includes, for example, methods such as push notification and email transmission.

[0015] "Means for updating the system based on collected information and feedback" refers to means for using empirical data and user feedback to keep the system's configuration profiles and algorithms up to date and optimal. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention provides a system for automating the setup process when connecting a new electronic device to a home network, enabling stable and secure device connection while minimizing the user's effort. Specific embodiments of the present invention are described below.

[0038] System Overview

[0039] The system consists of three main elements: a server, a device, and a user. The server exists on the network and acts as a central point for automating the connection and configuration of electronic devices. The device is typically a user's smartphone or computer, and is used for configuration and receiving notifications. The user is an individual who wants to connect a new electronic device to their home network.

[0040] Program processing explanation

[0041] 1. Device Recognition

[0042] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[0043] The server monitors network traffic and detects when a new connection request occurs.

[0044] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[0045] 2. Device information collection

[0046] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0047] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[0048] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[0049] 3. Applying a configuration profile

[0050] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[0051] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[0052] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[0053] 4. Connection test and confirmation

[0054] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[0055] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[0056] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[0057] 5. Learning and Optimization

[0058] The server continuously collects device usage and user feedback to optimize the system.

[0059] Update your configuration profiles and AI algorithms as new devices and technologies come to market.

[0060] Example: A server can automatically refine a configuration profile to prevent issues when connecting a smart TV in the future.

[0061] This system allows users to easily connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[0062] The processing flow will be explained below.

[0063] Step 1:

[0064] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[0065] Step 2:

[0066] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[0067] Step 3:

[0068] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[0069] Step 4:

[0070] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[0071] Step 5:

[0072] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[0073] Step 6:

[0074] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[0075] Step 7:

[0076] To confirm the settings after the server has applied them, the server performs a communication test with the device again. For example, it uses an HTTP request to check whether communication with the device is normal.

[0077] Step 8:

[0078] The server evaluates the results of the communication test to ensure that there are no abnormalities, for example, that the correct response is returned from the device.

[0079] Step 9:

[0080] The server notifies the user's device that the communication test has been successfully completed. For example, it sends a push notification to the smartphone saying, "Smart TV connection completed."

[0081] Step 10:

[0082] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also analyzes connection settings and behavior patterns to improve setting profiles and optimize the system.

[0083] Through these steps, the system of the present invention can quickly and safely connect a new electronic device to a home network, allowing users to smoothly connect devices without requiring specialized knowledge.

[0084] Example 1

[0085] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0086] In modern home networks, the setup procedure for connecting new electronic devices is complicated and burdensome for users. In particular, if the network and security settings are not configured properly, the connection may become unstable or a security risk may arise. Furthermore, since the setup depends on each user's knowledge and skills, it is not uncommon for incorrect settings to be made. There is a need for a method to automate the traditional manual setup procedure, reducing the burden on users while ensuring network stability and security.

[0087] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0088] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for conducting a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for monitoring network traffic to detect a new connection request, means for comparing the collected basic information with a database, means for confirming that the device is properly connected to the network if the communication test is successful, and means for collecting feedback from the user and optimizing the system. This enables a user to easily and safely connect a new electronic device to a home network without specialized knowledge.

[0089] The "means for detecting the connection of a new electronic device" has the function of identifying a device newly connected to a home network in real time.

[0090] The "means for collecting basic information" refers to a function that allows for obtaining data necessary for initial setup, such as MAC addresses, IP addresses, and manufacturer names, from detected electronic devices.

[0091] The "means for selecting an appropriate setting profile" has a function to automatically select a profile including the optimal network and security settings for the electronic device based on the collected basic information.

[0092] The "means for applying the setting profile to the electronic device" has a function for reflecting the selected setting profile in the new electronic device.

[0093] The "means for performing a communication test" has a function for performing a test to confirm whether the electronic device is normally connected to the network after the setting profile has been applied.

[0094] The "means for notifying the user of the results of the communication test" has a function for informing the user of information on whether the communication test was successful or not.

[0095] The "means for updating the system" has the function of optimizing the overall system performance and setting profile based on collected information and user feedback.

[0096] The "means for monitoring network traffic to detect new connection requests" has a function for monitoring connection requests on the network in real time and identifying connections of new devices.

[0097] The "means for checking basic information against a database" has a function for comparing the collected basic information of a new electronic device with a database prepared in advance and identifying a matching setting profile.

[0098] The "means for confirming that the electronic device is properly connected to the network" means a function for confirming that the electronic device is properly connected to the network if the communication test is successful.

[0099] "Means for collecting feedback from users and optimizing the system" refers to a function that analyzes opinions and usage data obtained from users and aims to improve and optimize the entire system.

[0100] This invention is a system that automates the setup process when connecting a new electronic device to a home network. This system consists of three main elements: the user, the server, and the terminal, and enables stable and secure device connection while minimizing user effort.

[0101] System configuration and operation overview

[0102] 1. Hardware and Software Use

[0103] server:

[0104] Hardware: Data center or cloud-based servers (e.g., AWS® EC2, Microsoft® Azure® VM)

[0105] Software: device management systems, network traffic monitoring tools (e.g., Wireshark), database management systems (e.g., MySQL (registered trademark), MongoDB)

[0106] Device:

[0107] Hardware: Smartphones (e.g. iPhone, Android), computers

[0108] Software: Dedicated application or web browser

[0109] User:

[0110] Hardware: New electronic devices (e.g., smart TVs)

[0111] Software: Initial setup software for the device

[0112] 2. Example and operation explanation

[0113] User Action:

[0114] Example: A user buys a new smart TV and wants to connect it to their home Wi-Fi network. When the user turns on the smart TV, the device attempts to connect to their home Wi-Fi network.

[0115] Server behavior:

[0116] The server monitors network traffic in real time to detect new connection requests, using tools such as network traffic monitoring tools like Wireshark.

[0117] The server sends an ARP request to the new device to obtain its MAC address and manufacturer name, and then uses that information to search its database for the appropriate configuration profile.

[0118] Once a configuration profile is identified, the server automatically applies network and security settings to the device using that profile, and then performs communication tests using ping commands and TCP connection tests.

[0119] After confirming that the communication test was successful, the server sends a notification of connection completion to the user's device via a dedicated application or email.

[0120] Additionally, the server collects usage and feedback and analyzes the data for system-wide optimization, ensuring the system is updated to ensure appropriate settings are applied even when new devices are added in the future.

[0121] 3. Examples of prompts

[0122] "Please provide a detailed description of the automatic setup process for connecting a new smart TV to a home network. Please also include details of what each step does, what specific behavior it performs, and what the user is notified about."

[0123] This system allows users to easily and safely connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1:

[0126] New Device Discovery

[0127] Input: A user turns on a new electronic device to connect it to the home network.

[0128] What it does: When a user turns on their smart TV, the device attempts to connect to their home Wi-Fi network.

[0129] Data processing: The server uses a network traffic monitoring tool (e.g., Wireshark) to monitor MAC addresses and IP addresses on the network in real time.

[0130] Output: The server detects a new connection request.

[0131] Step 2:

[0132] Collecting device information

[0133] Input: A new electronic device that the server detects is requesting a connection

[0134] Specific operation: The server obtains the MAC address and IP address of the new device by sending an ARP request.

[0135] Data processing: Based on the acquired MAC address and IP address, the OUI (Organizationally Unique Identifier) ​​database is referenced to confirm the manufacturer name.

[0136] Output: Collected basic information (MAC address, IP address, manufacturer name)

[0137] Step 3:

[0138] Selecting a configuration profile

[0139] Input: Collected basic information (MAC address, IP address, manufacturer name)

[0140] Specific operation: The server checks this information against a database to find the corresponding configuration profile.

[0141] Data calculation: Executes SQL queries based on basic information to extract appropriate configuration profiles.

[0142] Output: Identified configuration profile

[0143] Step 4:

[0144] Applying a Configuration Profile

[0145] Input: A specified configuration profile

[0146] What happens: The server sends a configuration command to apply the specified configuration profile to the new device, including settings like Wi-Fi SSID, encryption key, and IP address.

[0147] Data processing: Generates actual network configuration commands based on the configuration profile and delivers them to the device.

[0148] Output: The electronic device in its fully configured state

[0149] Step 5:

[0150] Checking the connection status

[0151] Input: Electronic device in a fully configured state

[0152] Specific operation: The server performs a communication test (e.g., Ping command, TCP connection test) to check whether the device is properly connected to the network.

[0153] Data Calculation: Analyze ping response time and TCP connection session status.

[0154] Output: Communication test result (success or failure)

[0155] Step 6:

[0156] User Notifications

[0157] Input: Communication test result

[0158] Specific operation: If the communication test is successful, the server will notify the user of the successful connection via a dedicated application or email.

[0159] Data calculation: Converts the results of the communication test into a notification message.

[0160] Output: Send a connection completion notification to the user's device

[0161] Step 7:

[0162] Learning and Optimization

[0163] Input: Collected device usage and user feedback

[0164] Specific operation: The server periodically collects communication logs from devices, analyzes network performance, and reflects user feedback in system improvements.

[0165] Data calculation: Based on the collected data, feedback is given to the generative AI model to optimize the setting profile and system.

[0166] Output: Improved settings profiles and optimized system

[0167] Through these processing steps, the system allows new electronic devices to be easily and securely connected to the home network, and the server monitors and optimizes the settings and connection status to improve network security and communication stability.

[0168] (Application example 1)

[0169] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0170] In today's home network environment, connecting new electronic devices requires complex configuration, which is a time-consuming and time-consuming process for many users. The configuration process is particularly challenging for first-time smart device users, creating a demand for automated, easy-to-understand connection guides. Furthermore, the lack of a visual interface that allows users to easily configure and check the status of network connections at a glance poses a challenge in providing a user-friendly experience.

[0171] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0172] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for storing purchasing information in the real world in the cloud, means for providing a setting guide based on the stored related information, and means for visually displaying the connection status and progress via a head-mounted display, thereby enabling a user to easily connect a new electronic device to the home network and visually check the connection status in real time.

[0173] 1. "Electronic devices" refers to all devices intended to be connected to a network, including smartphones, computers, smart TVs, and smart home appliances.

[0174] 2. "Server" means a central device or program that provides services over a network and manages and monitors the connections and settings of electronic devices.

[0175] 3. "Means for detecting connection" means a mechanism that has the function of detecting when an electronic device is connected to a network.

[0176] 4. "Means for collecting basic information" refers to a mechanism for obtaining initial information such as the MAC address, IP address, and manufacturer name of electronic devices.

[0177] 5. "Configuration Profile" means a set of pre-prepared configuration information for automatically applying network connection settings and security settings to an electronic device.

[0178] 6. "Means for performing communication tests" refers to a mechanism for confirming that electronic devices are correctly connected to the network and that communication is normal.

[0179] 7. "Means of notifying the user" refers to a mechanism for notifying the user's device of the application status of settings and the results of communication tests.

[0180] 8. "Means for updating the system" refers to a mechanism for optimizing configuration profiles and AI algorithms based on collected information and user feedback.

[0181] 9. "Cloud storage" means storing purchasing information and connection settings on a remote server on a network, making them accessible as needed.

[0182] 10. "Means for providing configuration guidance" refers to a mechanism that provides step-by-step support for the configuration procedure when a user connects a new electronic device to a network.

[0183] 11. A "head-mounted display" is a device worn by a user on the head that displays a display in front of the user's line of sight, providing augmented reality or virtual reality.

[0184] 12. "Visual display means" refers to a mechanism for visually presenting the connection status and configuration progress to the user in an easy-to-understand manner.

[0185] This invention is a system that allows users to easily connect new electronic devices they have purchased to a home network, and is particularly characterized by the ability to visually check the connection status by using a head-mounted display.

[0186] The system consists of three main elements: a server, a terminal (especially a head-mounted display), and a user. The server provides services over the network and automates, manages, and monitors the connection and configuration of electronic devices. The terminal is primarily a head-mounted display, through which the user can receive configuration guidance and check the connection status. The user is an individual who wants to connect a new electronic device to their home network.

[0187] 1. Hardware and Software

[0188] Hardware used

[0189] Server: A high-performance computer or cloud server

[0190] Device: Head-mounted display (e.g., Oculus Quest)

[0191] Software used

[0192] Programming language: Python

[0193] Library: Requests

[0194] Server API: RESTful API

[0195] 2. Data processing and calculation

[0196] The server monitors home network traffic to detect new connection requests. At this time, it collects basic information about the newly added electronic device (MAC address, IP address, manufacturer name, etc.) and uses that information to search a database for an appropriate configuration profile. After applying the configuration profile, it performs a communication test and notifies the user of the results. The user can visually confirm this notification through a head-mounted display.

[0197] Specific examples

[0198] For example, consider the case where a user purchases a new smart refrigerator at a virtual store. When the user brings the refrigerator home and turns it on, a setup guide automatically starts on the head-mounted display. The user follows the guide to connect the refrigerator to the home Wi-Fi network. The server monitors the connection status and communication test results in real time, and once it confirms that communication is normal, it displays the results on the head-mounted display. This allows the user to visually check the connection status and use the new device with peace of mind.

[0199] Prompt Sentence Examples

[0200] By inputting the following prompt sentences into the generative AI model, it can generate sentences to guide users through the process of connecting a new electronic device purchased from a virtual store to their home network.

[0201] "Please explain the process by which a user can automatically connect a newly purchased device (e.g., a smart refrigerator) to their home network. Specifically, please detail how the head-mounted display guides the user through the setup and provides real-time connectivity status."

[0202] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0203] The processing flow and specific operations of the system program that realizes the application example

[0204] Step 1: Device Recognition

[0205] The server detects new connection requests within the network: when a user turns on a new electronic device and attempts to connect to the home Wi-Fi, the server receives a connection request from that device.

[0206] Input: Wi-Fi connection request from electronic device

[0207] Data processing: Monitoring network traffic and detecting connection requests

[0208] Output: New device connection request information

[0209] Step 2: Collect device information

[0210] The server performs simple communication with the new device to collect basic information (MAC address, IP address, manufacturer name), which is then stored in a database.

[0211] Input: New device connection request information

[0212] Data processing: initial communication with the device and acquisition of basic information

[0213] Output: Basic device information (MAC address, IP address, manufacturer name)

[0214] Step 3: Select a configuration profile

[0215] The server uses the collected basic information to search a database for and select the appropriate configuration profile, which includes network and security settings.

[0216] Input: Basic device information

[0217] Data processing: Matching basic information with database profiles

[0218] Output: The appropriate configuration profile

[0219] Step 4: Applying the configuration profile

[0220] The server automatically applies network settings to new devices using the selected configuration profile, then verifies that the electronic device is configured correctly.

[0221] Enter the appropriate configuration profile

[0222] Data manipulation: Applying configuration profiles to devices

[0223] Output: Status information of the settings applied

[0224] Step 5: Test and verify the connection

[0225] After applying the settings, the server performs a communication test to confirm that the device is properly connected to the network. If the result of the communication test is normal, the information is passed on to the next step.

[0226] Input: Status information of the settings applied

[0227] Data processing: Conducting communication tests and checking results

[0228] Output: Communication test results

[0229] Step 6: User Notification

[0230] The server notifies the user of the results of the communication test, and visually displays the connection status and configuration progress on a head-mounted display.

[0231] Input: Communication test result

[0232] Data processing: Creating notification messages for test results

[0233] Output: A notification message to the user's terminal

[0234] Step 7: Optimize your system

[0235] The server uses the collected information and user feedback to update its configuration profiles and AI algorithms, improving the stability and security of future connections.

[0236] Input: User feedback and usage data

[0237] Data processing: Analysis of feedback and usage data

[0238] Output: Updated configuration profile and system optimization information

[0239] Step 8: Cloud storage of purchasing information in the physical world

[0240] The server stores purchase information from the virtual store on the cloud and makes it possible to refer to the associated setting profile as appropriate.

[0241] Enter purchasing info record

[0242] Data processing: Cloud storage of purchasing information

[0243] Output: Purchasing information stored on the cloud

[0244] Step 9: Provide setup guidance

[0245] The server uses information stored in the cloud to provide a setup guide when the user connects a new device, with the head-mounted display providing step-by-step support.

[0246] Input: Purchasing information stored on the cloud

[0247] Data processing: Generating a configuration guide

[0248] Output: Setup guide displayed on the head-mounted display

[0249] Step 10: User Visual Confirmation

[0250] The user uses a head-mounted display to check the device connection status and configuration progress in real time.

[0251] Input: Notification message from the server

[0252] Data processing: Visual display of notification messages

[0253] Output: User visual confirmation and action

[0254] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0255] The present invention is a system that automates the setup process when connecting a new electronic device to a home network, and further combines it with an emotion engine that recognizes the user's emotions, thereby reducing user stress and providing a more comfortable user experience. Specific embodiments of the present invention are described below.

[0256] System Overview

[0257] This system consists of four main components: a server, a device, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Devices are primarily smartphones or computers owned by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operational status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to the home network.

[0258] Program processing explanation

[0259] 1. Device Recognition

[0260] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[0261] The server monitors network traffic and detects when a new connection request occurs.

[0262] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[0263] 2. Device information collection

[0264] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0265] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[0266] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[0267] 3. Applying a configuration profile

[0268] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[0269] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[0270] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[0271] 4. Connection test and confirmation

[0272] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[0273] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[0274] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[0275] 5. Monitoring and analysis by emotion engine

[0276] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[0277] If the user is feeling stressed, the emotion engine will detect this and take appropriate action.

[0278] Example: If a user feels they have a connection problem, the emotion engine will analyze their stress level from their facial expressions and voice, and the server will provide detailed instructions on how to operate the device.

[0279] 6. Optimizing notification content

[0280] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[0281] This allows notifications to be sent at the timing most convenient for the user.

[0282] Example: The server sends a notification that the connection is complete when the user is relaxed.

[0283] 7. Learning and Optimization

[0284] The server optimizes and updates the system based on the user's emotional data.

[0285] The data collected by the emotion engine will be used to improve future connection settings.

[0286] Example: Review connection procedures and update system configuration profiles to minimize server stress for users.

[0287] In this way, the system of the present invention not only allows new electronic devices to be quickly and safely connected to a home network, but also takes user feelings into consideration to provide a more pleasant user experience.

[0288] The processing flow will be explained below.

[0289] Step 1:

[0290] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[0291] Step 2:

[0292] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[0293] Step 3:

[0294] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[0295] Step 4:

[0296] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[0297] Step 5:

[0298] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[0299] Step 6:

[0300] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[0301] Step 7:

[0302] After the server applies the configuration profile, it performs a communication test with the device again, using an HTTP request or similar to check whether communication with the device is normal.

[0303] Step 8:

[0304] The emotion engine monitors the user's operation status, facial expressions, voice, etc., and analyzes the user's emotions. For example, it uses a camera and microphone to understand the user's state of mind.

[0305] Step 9:

[0306] The server adjusts the notification content based on the communication test results and the user's emotional state. For example, if the user is feeling stressed, the server sends a notification with a simpler explanation.

[0307] Step 10:

[0308] The server notifies the user of the results of the communication test. For example, a push notification is sent to a smartphone stating, "Smart TV connection completed," so that the notification can be sent at a time when the user is relaxing.

[0309] Step 11:

[0310] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also optimizes the connection setting profile and system based on the data from the emotion engine.

[0311] Step 12:

[0312] The server uses the emotion engine to collect user feedback and improve the system. For example, if a user gives feedback such as "the settings are not working properly," the system is updated to reflect that feedback.

[0313] Through the above steps, the system of the present invention can quickly and safely connect new electronic devices to a home network, and also take into account the user's feelings to provide a more comfortable user experience.

[0314] Example 2

[0315] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0316] When connecting new electronic devices to a home network, users often face complex and cumbersome setup procedures that are time-consuming and laborious. Misconfigurations and connection failures can also occur, often causing frustration for users. Furthermore, conventional systems do not take into account the user's emotional state, which can be inconvenient, especially for users who are unfamiliar with technology. There is a need to provide a more comfortable and efficient electronic device connection experience by solving these issues.

[0317] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0318] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for monitoring and analyzing the user's emotions, means for optimizing the content and timing of notifications based on the emotion analysis, and means for updating the system based on the collected information and feedback. This reduces the operational burden on the user, reduces setting errors and connection failures, and makes it possible to provide a more comfortable connection experience through notifications and guidance that take the user's emotions into consideration.

[0319] "New electronic devices" refers to newly purchased or installed electronic devices that are added to a home network.

[0320] "Means for detecting connections" refers to technology or devices that automatically recognize connections when new electronic devices attempt to connect to a network.

[0321] "Basic information" refers to initial setting information collected about electronic devices, and specifically includes MAC addresses, IP addresses, manufacturer names, etc.

[0322] A "setting profile" refers to a data structure that stores a series of setting information for an electronic device to be properly connected to a network.

[0323] The "means for applying" refers to a method or technology for actually applying the specified setting profile to the electronic device.

[0324] "Communication test" refers to a connection confirmation test to check whether the electronic device is operating normally after the settings have been applied.

[0325] "Means for notifying" refers to a method or system for notifying the user of the results of the communication test or other important information.

[0326] "Means for monitoring and analyzing emotions" refers to technology and software that analyzes the user's operating status, facial expressions, voice, etc., and determines their emotional state.

[0327] "Means for optimizing notification content and timing" refers to a method or system for optimizing the content and timing of notifications sent to users based on the results of sentiment analysis.

[0328] "Means for updating the system based on collected information and feedback" refers to techniques for continuously optimizing and updating the system's configuration and operation using data and feedback obtained from users.

[0329] This invention is a system that automates the setup process when connecting new electronic devices to a home network and recognizes the user's emotions to provide a comfortable connection experience. This system consists of four main components: a server, a terminal, an emotion engine, and the user.

[0330] Server roles and functions:

[0331] The server is the core of the system, responsible for detecting the connection of new electronic devices and automating their configuration. Specifically, it performs the following tasks:

[0332] Use software that monitors network traffic to detect new electronic device connections, such as Wireshark.

[0333] It collects basic information (MAC address, IP address, manufacturer name, etc.) from any new electronic devices it detects, using an ARP request and reply mechanism.

[0334] Matching the collected information with a database (e.g., MySQL) to identify the appropriate configuration profile.

[0335] The identified configuration profile is used to automatically apply network and security settings to the electronic device.

[0336] To check whether the settings have been applied correctly, perform a communication test using Ping or an HTTP request.

[0337] The test results are notified to the user's terminal.

[0338] Device roles and functions:

[0339] The device is mainly a smartphone or computer that the user has, and is used to check settings and receive notifications. It receives notifications from the server and displays them to the user.

[0340] Roles and Functions of the Emotion Engine:

[0341] The emotion engine is software that monitors and analyzes the user's operation status, facial expressions, voice, etc. Specifically, it performs the following processes:

[0342] The emotion engine processes data from the camera and microphone in real time and analyzes the user's emotions, for example using OpenCV and voice analysis models.

[0343] If the user is feeling stressed, the state is detected and notified to the server.

[0344] The server uses this information to optimize the content and timing of notifications.

[0345] User role:

[0346] A user is an individual who purchases a new electronic device and connects it to a home network. The system automatically applies the appropriate configuration profile, allowing the user to avoid tedious setup procedures. The emotion engine also reduces stress, allowing the user to enjoy a comfortable connection experience.

[0347] Examples:

[0348] A user purchases a new smart TV and attempts to connect it to their home Wi-Fi. When the smart TV is turned on, the server recognizes its presence and collects basic information such as its MAC address and manufacturer's name. Using the collected information, the server searches for a corresponding configuration profile in its database and applies the required network settings to the smart TV. It then performs a communication test to confirm that the connection is successful. Meanwhile, the emotion engine analyzes the user's facial expressions and voice, and if the user is feeling stressed, it sends that information to the server. The server then uses this information to notify the user of appropriate guidance or support messages.

[0349] Example of a generative AI model and prompt:

[0350] An example of a generative AI model used to generate explanatory text for this system is OpenAI® GPT-4®. Specific examples of prompt text are shown below:

[0351] Example prompt sentence:

[0352] Describe a system that automates the setup of new electronic devices when they are connected to a home network and reduces stress by recognizing the user's emotions. This system consists of four main components: a server, a device, an emotion engine, and the user. Please explain the system's detailed operating procedures and provide examples.

[0353] As a result, the system of the present invention can achieve fast and safe connection of new electronic devices, reducing stress for users and providing a comfortable connection experience.

[0354] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0355] Step 1:

[0356] A user turns on a new electronic device (e.g., a smart TV).

[0357] Specific behavior: The user wakes up the smart TV using the remote control or power button.

[0358] Input: The smart TV is started by the user.

[0359] Output: The smart TV sends a request to try to connect to the home Wi-Fi network.

[0360] Step 2:

[0361] The device (smart TV) attempts to connect to the home Wi-Fi network.

[0362] What it does: The TV will attempt to connect using pre-configured Wi-Fi information.

[0363] Input: Smart TV network connection request.

[0364] Output: Connection request data to Wi-Fi router.

[0365] Step 3:

[0366] The server monitors network traffic to detect new connection requests.

[0367] What happens: The server's network monitoring software (e.g., Wireshark) captures connection request packets.

[0368] Input: Network traffic data.

[0369] Output: New electronic device connection request detection information.

[0370] Step 4:

[0371] The server communicates briefly with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0372] Specific operation: The server sends an ARP request and receives an ARP reply from the device.

[0373] Input: Sending an ARP request and receiving an ARP reply from the device.

[0374] Output: Basic device information (MAC address, IP address, manufacturer name).

[0375] Step 5:

[0376] The server compares the collected basic information with a database to identify the appropriate configuration profile.

[0377] Specific Action: Look up information using the server's database software (e.g., MySQL).

[0378] Input: Basic information collected.

[0379] Output: The corresponding configuration profile.

[0380] Step 6:

[0381] The server automatically applies network and security settings to new devices using a specified configuration profile.

[0382] What happens: The server automatically applies the specified settings to the device.

[0383] Input: Configuration profile contents and devices.

[0384] Output: The applied network and security settings.

[0385] Step 7:

[0386] After the server applies the settings, it performs a communication test on the device to confirm that the settings have been applied.

[0387] Specific operation: The server sends a Ping test or HTTP request and checks the response from the device.

[0388] Input: Request data for communication test.

[0389] Output: Communication test results.

[0390] Step 8:

[0391] The server notifies the user's terminal of the results of the communication test.

[0392] Specific operation: The server pushes notifications to smartphones and PCs.

[0393] Input: Communication test result data.

[0394] Output: Notification content sent to the user's device.

[0395] Step 9:

[0396] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[0397] How it works: The emotion engine processes data from the camera and microphone in real time, for example using OpenCV and speech analysis models.

[0398] Input: Video and audio data from camera and microphone.

[0399] Output: Parsed user emotional state data.

[0400] Step 10:

[0401] If the user is feeling stressed, the emotion engine detects this state and notifies the server.

[0402] Specific operation: If the emotion engine detects signs of stress, it sends the information to the server.

[0403] Input: User emotional state data.

[0404] Output: Notify the server of stress detection information.

[0405] Step 11:

[0406] The server optimizes the content and timing of notifications based on sentiment analysis.

[0407] Specific operation: The server reconfigures the content and timing of notifications depending on the user's emotional state.

[0408] Input: Sentiment analysis results.

[0409] Output: Optimized notification content and timing.

[0410] Step 12:

[0411] The server updates the system based on the information and feedback it collects.

[0412] Specific operation: The server analyzes the emotion data using a machine learning model (e.g., TENSORFLOW®) to improve the system configuration and operation.

[0413] Input: Collected information and user feedback.

[0414] Output: Optimized and updated system settings.

[0415] (Application example 2)

[0416] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0417] In the past, the introduction of new robots and machinery in factories was complicated and required specialized knowledge, causing stress for operators during setup. Misconfigurations could also lead to malfunctions and incomplete network connections, reducing factory efficiency and safety. This has created a need for fast and accurate setup of new equipment.

[0418] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine, means for adjusting the content of notifications to the user based on the analysis results, and means for updating the system based on the collected information and feedback. This enables quick and accurate configuration of new robots and machines and reduces operator stress.

[0419] "New electronic devices" refers to electronic devices that are not yet connected to a home or factory network.

[0420] An "emotion engine" refers to technology or software that analyzes a user's operating status, facial expressions, voice, etc., and recognizes their emotional state.

[0421] A "configuration profile" refers to a set of network and security settings to be applied to a particular device.

[0422] "Communication test" refers to the process of testing communication between a device and a network to ensure that the configuration is correct.

[0423] "User" refers to the individual or operator who connects and configures a new electronic device to the network.

[0424] "Notification content" refers to information for informing the user of the results of the communication test, the progress of the settings, and the like.

[0425] "Analysis results" refers to data and information obtained as a result of the emotion engine analyzing the user's emotions.

[0426] "Feedback" refers to information that the system uses to improve the system based on evaluations and opinions received from users.

[0427] "Server" refers to a central computer system that manages and configures devices on a network.

[0428] The present invention provides a system that quickly and accurately connects new electronic devices to networks in homes and factories, and further recognizes the user's emotions to reduce stress. Specific methods for implementing the present invention are described below.

[0429] System Overview

[0430] This system consists of four main components: a server, a terminal, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Terminals are primarily smartphones or computers carried by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operating status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to a home or factory network.

[0431] 1. Device recognition:

[0432] When a user turns on a new electronic device to connect, the device attempts to connect to the network.

[0433] The server detects this new connection request and recognizes the target device.

[0434] 2. Device Information Collection:

[0435] The server communicates with the new device briefly to collect basic information such as its MAC address, IP address, and manufacturer name.

[0436] The collected basic information is compared against a database on the server to identify the appropriate configuration profile.

[0437] 3. Apply the configuration profile:

[0438] The server automatically applies network and security settings to new devices using the appropriate configuration profile.

[0439] After the settings are applied, the server performs a communication test on the device to ensure it can communicate successfully with the network.

[0440] 4. Emotion Engine Monitoring:

[0441] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state.

[0442] Based on the analysis results, if the user is feeling stressed, appropriate support information and guidance will be provided.

[0443] 5. Notification content optimization:

[0444] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[0445] By providing notifications in a way that takes into consideration the user's emotional state, it reduces stress for the user and provides a comfortable operating experience.

[0446] 6. Update your system:

[0447] The server optimizes and updates the system based on the collected information and feedback.

[0448] We will use the data collected by the emotion engine to improve the system in the future.

[0449] Hardware and software used

[0450] Hardware: Robots in the factory, smart glasses for operators, servers.

[0451] Software: Python, EmotionEngine library.

[0452] Specific examples

[0453] For example, when introducing a new robot, "Factory Robot X," to a factory, an operator puts on the smart glasses and sets up the new robot. When the robot attempts to connect to the network, the server automatically recognizes it and completes all the configuration. After the configuration is complete, if the emotion engine detects stress in the operator, it can provide detailed operating instructions.

[0454] Prompt Sentence Examples

[0455] I'm trying to connect "Factory Robot X" to the factory. Can you provide some guidance to help the operator who is feeling stressed?

[0456] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0457] Step 1:

[0458] Device Recognition:

[0459] When a user turns on a new electronic device, such as a robot, the device attempts to connect to the network. The server monitors these new connection requests and detects that the device has been connected to the network. The input is the device connection signal, and the output is device recognition.

[0460] Specific behavior:

[0461] The server monitors network traffic and detects new device connection requests by receiving signals from devices trying to connect to a home or factory Wi-Fi network, and the server analyzes the signals to recognize the device's presence.

[0462] Step 2:

[0463] Device Information Collection:

[0464] The server performs simple communication with the recognized device and collects basic information such as MAC address, IP address, manufacturer name, etc. The input is a request for basic information about the device, and the output is the collected basic information.

[0465] Specific behavior:

[0466] The server establishes communication with the device and obtains basic information from the device, such as MAC address, IP address, and manufacturer name, which allows the server to identify and identify the target device.

[0467] Step 3:

[0468] Select a configuration profile:

[0469] The server searches for and selects an appropriate configuration profile from the database based on the collected basic information. The input is the device's basic information, and the output is the selected configuration profile.

[0470] Specific behavior:

[0471] The server checks the collected device information against a database to find a matching configuration profile, for example, "Factory Robot X," and selects that particular profile.

[0472] Step 4:

[0473] Applying a configuration profile:

[0474] The server applies the selected configuration profile to the device: the input is the configuration profile and the output is the device with the profile applied.

[0475] Specific behavior:

[0476] The server sends the selected configuration profile to the device, and automatically applies settings such as network ID, encryption key, and IP address to the device, allowing the device to connect to the network correctly.

[0477] Step 5:

[0478] Conduct a communication test:

[0479] The server performs a communication test on the device to confirm that the settings have been applied correctly. The input is the applied device settings, and the output is the communication test result.

[0480] Specific behavior:

[0481] The server sends and receives data to and from the device to check whether communication is normal, in order to ensure the stability of the network connection and the accuracy of security settings.

[0482] Step 6:

[0483] Emotion Engine Monitoring:

[0484] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state. The input is the user's facial expressions and voice data, and the output is the emotion analysis results.

[0485] Specific behavior:

[0486] The emotion engine analyzes real-time data provided by the user through smart glasses or a camera to determine whether the user is feeling stressed.

[0487] Step 7:

[0488] User Notification Applies:

[0489] The server adjusts the content and timing of notifications based on the analysis results of the emotion engine according to the user's emotions. The input is the emotion analysis results, and the output is the adjusted notification content.

[0490] Specific behavior:

[0491] The server sends notifications when the user is relaxed and provides detailed guidance and support information when the user is stressed, thereby reducing the user's stress and providing a more comfortable operating experience.

[0492] Step 8:

[0493] Performing a system update:

[0494] The server optimizes and updates the system based on the collected information and feedback. The input is the feedback information, and the output is the optimized system.

[0495] Specific behavior:

[0496] The server analyzes user actions and emotional data to improve future connection settings and update system profiles, keeping the system always up to date.

[0497] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0498] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0499] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0500] [Second embodiment]

[0501] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0502] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0503] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0504] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0505] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0506] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0507] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0508] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0509] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0510] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0511] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0512] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0513] The present invention provides a system for automating the setup process when connecting a new electronic device to a home network, enabling stable and secure device connection while minimizing the user's effort. Specific embodiments of the present invention are described below.

[0514] System Overview

[0515] The system consists of three main elements: a server, a device, and a user. The server exists on the network and acts as a central point for automating the connection and configuration of electronic devices. The device is typically a user's smartphone or computer, and is used for configuration and receiving notifications. The user is an individual who wants to connect a new electronic device to their home network.

[0516] Program processing explanation

[0517] 1. Device Recognition

[0518] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[0519] The server monitors network traffic and detects when a new connection request occurs.

[0520] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[0521] 2. Device information collection

[0522] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0523] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[0524] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[0525] 3. Applying a configuration profile

[0526] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[0527] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[0528] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[0529] 4. Connection test and confirmation

[0530] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[0531] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[0532] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[0533] 5. Learning and Optimization

[0534] The server continuously collects device usage and user feedback to optimize the system.

[0535] Update your configuration profiles and AI algorithms as new devices and technologies come to market.

[0536] Example: A server can automatically refine a configuration profile to prevent issues when connecting a smart TV in the future.

[0537] This system allows users to easily connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[0538] The processing flow will be explained below.

[0539] Step 1:

[0540] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[0541] Step 2:

[0542] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[0543] Step 3:

[0544] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[0545] Step 4:

[0546] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[0547] Step 5:

[0548] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[0549] Step 6:

[0550] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[0551] Step 7:

[0552] To confirm the settings after the server has applied them, the server performs a communication test with the device again. For example, it uses an HTTP request to check whether communication with the device is normal.

[0553] Step 8:

[0554] The server evaluates the results of the communication test to ensure that there are no abnormalities, for example, that the correct response is returned from the device.

[0555] Step 9:

[0556] The server notifies the user's device that the communication test has been successfully completed. For example, it sends a push notification to the smartphone saying, "Smart TV connection completed."

[0557] Step 10:

[0558] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also analyzes connection settings and behavior patterns to improve setting profiles and optimize the system.

[0559] Through these steps, the system of the present invention can quickly and safely connect a new electronic device to a home network, allowing users to smoothly connect devices without requiring specialized knowledge.

[0560] Example 1

[0561] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0562] In modern home networks, the setup procedure for connecting new electronic devices is complicated and burdensome for users. In particular, if the network and security settings are not configured properly, the connection may become unstable or a security risk may arise. Furthermore, since the setup depends on each user's knowledge and skills, it is not uncommon for incorrect settings to be made. There is a need for a method to automate the traditional manual setup procedure, reducing the burden on users while ensuring network stability and security.

[0563] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0564] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for conducting a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for monitoring network traffic to detect a new connection request, means for comparing the collected basic information with a database, means for confirming that the device is properly connected to the network if the communication test is successful, and means for collecting feedback from the user and optimizing the system. This enables a user to easily and safely connect a new electronic device to a home network without specialized knowledge.

[0565] The "means for detecting the connection of a new electronic device" has the function of identifying a device newly connected to a home network in real time.

[0566] The "means for collecting basic information" refers to a function that allows for obtaining data necessary for initial setup, such as MAC addresses, IP addresses, and manufacturer names, from detected electronic devices.

[0567] The "means for selecting an appropriate setting profile" has a function to automatically select a profile including the optimal network and security settings for the electronic device based on the collected basic information.

[0568] The "means for applying the setting profile to the electronic device" has a function for reflecting the selected setting profile in the new electronic device.

[0569] The "means for performing a communication test" has a function for performing a test to confirm whether the electronic device is normally connected to the network after the setting profile has been applied.

[0570] The "means for notifying the user of the results of the communication test" has a function for informing the user of information on whether the communication test was successful or not.

[0571] The "means for updating the system" has the function of optimizing the overall system performance and setting profile based on collected information and user feedback.

[0572] The "means for monitoring network traffic to detect new connection requests" has a function for monitoring connection requests on the network in real time and identifying connections of new devices.

[0573] The "means for checking basic information against a database" has a function for comparing the collected basic information of a new electronic device with a database prepared in advance and identifying a matching setting profile.

[0574] The "means for confirming that the electronic device is properly connected to the network" means a function for confirming that the electronic device is properly connected to the network if the communication test is successful.

[0575] "Means for collecting feedback from users and optimizing the system" refers to a function that analyzes opinions and usage data obtained from users and aims to improve and optimize the entire system.

[0576] This invention is a system that automates the setup process when connecting a new electronic device to a home network. This system consists of three main elements: the user, the server, and the terminal, and enables stable and secure device connection while minimizing user effort.

[0577] System configuration and operation overview

[0578] 1. Hardware and Software Use

[0579] server:

[0580] Hardware: Data center or cloud-based servers (e.g., AWS EC2, Microsoft Azure VM)

[0581] Software: Device management systems, network traffic monitoring tools (e.g., Wireshark), database management systems (e.g., MySQL, MongoDB)

[0582] Device:

[0583] Hardware: Smartphones (e.g. iPhone, Android), computers

[0584] Software: Dedicated application or web browser

[0585] User:

[0586] Hardware: New electronic devices (e.g., smart TVs)

[0587] Software: Initial setup software for the device

[0588] 2. Example and operation explanation

[0589] User Action:

[0590] Example: A user buys a new smart TV and wants to connect it to their home Wi-Fi network. When the user turns on the smart TV, the device attempts to connect to their home Wi-Fi network.

[0591] Server behavior:

[0592] The server monitors network traffic in real time to detect new connection requests, using tools such as network traffic monitoring tools like Wireshark.

[0593] The server sends an ARP request to the new device to obtain its MAC address and manufacturer name, and then uses that information to search its database for the appropriate configuration profile.

[0594] Once a configuration profile is identified, the server automatically applies network and security settings to the device using that profile, and then performs communication tests using ping commands and TCP connection tests.

[0595] After confirming that the communication test was successful, the server sends a notification of connection completion to the user's device via a dedicated application or email.

[0596] Additionally, the server collects usage and feedback and analyzes the data for system-wide optimization, ensuring the system is updated to ensure appropriate settings are applied even when new devices are added in the future.

[0597] 3. Examples of prompts

[0598] "Please provide a detailed description of the automatic setup process for connecting a new smart TV to a home network. Please also include details of what each step does, what specific behavior it performs, and what the user is notified about."

[0599] This system allows users to easily and safely connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[0600] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0601] Step 1:

[0602] New Device Discovery

[0603] Input: A user turns on a new electronic device to connect it to the home network.

[0604] What it does: When a user turns on their smart TV, the device attempts to connect to their home Wi-Fi network.

[0605] Data processing: The server uses a network traffic monitoring tool (e.g., Wireshark) to monitor MAC addresses and IP addresses on the network in real time.

[0606] Output: The server detects a new connection request.

[0607] Step 2:

[0608] Collecting device information

[0609] Input: A new electronic device that the server detects is requesting a connection

[0610] Specific operation: The server obtains the MAC address and IP address of the new device by sending an ARP request.

[0611] Data processing: Based on the acquired MAC address and IP address, the OUI (Organizationally Unique Identifier) ​​database is referenced to confirm the manufacturer name.

[0612] Output: Collected basic information (MAC address, IP address, manufacturer name)

[0613] Step 3:

[0614] Selecting a configuration profile

[0615] Input: Collected basic information (MAC address, IP address, manufacturer name)

[0616] Specific operation: The server checks this information against a database to find the corresponding configuration profile.

[0617] Data calculation: Executes SQL queries based on basic information to extract appropriate configuration profiles.

[0618] Output: Identified configuration profile

[0619] Step 4:

[0620] Applying a Configuration Profile

[0621] Input: A specified configuration profile

[0622] What happens: The server sends a configuration command to apply the specified configuration profile to the new device, including settings like Wi-Fi SSID, encryption key, and IP address.

[0623] Data processing: Generates actual network configuration commands based on the configuration profile and delivers them to the device.

[0624] Output: The electronic device in its fully configured state

[0625] Step 5:

[0626] Checking the connection status

[0627] Input: Electronic device in a fully configured state

[0628] Specific operation: The server performs a communication test (e.g., Ping command, TCP connection test) to check whether the device is properly connected to the network.

[0629] Data Calculation: Analyze ping response time and TCP connection session status.

[0630] Output: Communication test result (success or failure)

[0631] Step 6:

[0632] User Notifications

[0633] Input: Communication test result

[0634] Specific operation: If the communication test is successful, the server will notify the user of the successful connection via a dedicated application or email.

[0635] Data calculation: Converts the results of the communication test into a notification message.

[0636] Output: Send a connection completion notification to the user's device

[0637] Step 7:

[0638] Learning and Optimization

[0639] Input: Collected device usage and user feedback

[0640] Specific operation: The server periodically collects communication logs from devices, analyzes network performance, and reflects user feedback in system improvements.

[0641] Data calculation: Based on the collected data, feedback is given to the generative AI model to optimize the setting profile and system.

[0642] Output: Improved settings profiles and optimized system

[0643] Through these processing steps, the system allows new electronic devices to be easily and securely connected to the home network, and the server monitors and optimizes the settings and connection status to improve network security and communication stability.

[0644] (Application example 1)

[0645] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0646] In today's home network environment, connecting new electronic devices requires complex configuration, which is a time-consuming and time-consuming process for many users. The configuration process is particularly challenging for first-time smart device users, creating a demand for automated, easy-to-understand connection guides. Furthermore, the lack of a visual interface that allows users to easily configure and check the status of network connections at a glance poses a challenge in providing a user-friendly experience.

[0647] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0648] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for storing purchasing information in the real world in the cloud, means for providing a setting guide based on the stored related information, and means for visually displaying the connection status and progress via a head-mounted display, thereby enabling a user to easily connect a new electronic device to the home network and visually check the connection status in real time.

[0649] 1. "Electronic devices" refers to all devices intended to be connected to a network, including smartphones, computers, smart TVs, and smart home appliances.

[0650] 2. "Server" means a central device or program that provides services over a network and manages and monitors the connections and settings of electronic devices.

[0651] 3. "Means for detecting connection" means a mechanism that has the function of detecting when an electronic device is connected to a network.

[0652] 4. "Means for collecting basic information" refers to a mechanism for obtaining initial information such as the MAC address, IP address, and manufacturer name of electronic devices.

[0653] 5. "Configuration Profile" means a set of pre-prepared configuration information for automatically applying network connection settings and security settings to an electronic device.

[0654] 6. "Means for performing communication tests" refers to a mechanism for confirming that electronic devices are correctly connected to the network and that communication is normal.

[0655] 7. "Means of notifying the user" refers to a mechanism for notifying the user's device of the application status of settings and the results of communication tests.

[0656] 8. "Means for updating the system" refers to a mechanism for optimizing configuration profiles and AI algorithms based on collected information and user feedback.

[0657] 9. "Cloud storage" means storing purchasing information and connection settings on a remote server on a network, making them accessible as needed.

[0658] 10. "Means for providing configuration guidance" refers to a mechanism that provides step-by-step support for the configuration procedure when a user connects a new electronic device to a network.

[0659] 11. A "head-mounted display" is a device worn by a user on the head that displays a display in front of the user's line of sight, providing augmented reality or virtual reality.

[0660] 12. "Visual display means" refers to a mechanism for visually presenting the connection status and configuration progress to the user in an easy-to-understand manner.

[0661] This invention is a system that allows users to easily connect new electronic devices they have purchased to a home network, and is particularly characterized by the ability to visually check the connection status by using a head-mounted display.

[0662] The system consists of three main elements: a server, a terminal (especially a head-mounted display), and a user. The server provides services over the network and automates, manages, and monitors the connection and configuration of electronic devices. The terminal is primarily a head-mounted display, through which the user can receive configuration guidance and check the connection status. The user is an individual who wants to connect a new electronic device to their home network.

[0663] 1. Hardware and Software

[0664] Hardware used

[0665] Server: A high-performance computer or cloud server

[0666] Device: Head-mounted display (e.g., Oculus Quest)

[0667] Software used

[0668] Programming language: Python

[0669] Library: Requests

[0670] Server API: RESTful API

[0671] 2. Data processing and calculation

[0672] The server monitors home network traffic to detect new connection requests. At this time, it collects basic information about the newly added electronic device (MAC address, IP address, manufacturer name, etc.) and uses that information to search a database for an appropriate configuration profile. After applying the configuration profile, it performs a communication test and notifies the user of the results. The user can visually confirm this notification through a head-mounted display.

[0673] Specific examples

[0674] For example, consider the case where a user purchases a new smart refrigerator at a virtual store. When the user brings the refrigerator home and turns it on, a setup guide automatically starts on the head-mounted display. The user follows the guide to connect the refrigerator to the home Wi-Fi network. The server monitors the connection status and communication test results in real time, and once it confirms that communication is normal, it displays the results on the head-mounted display. This allows the user to visually check the connection status and use the new device with peace of mind.

[0675] Prompt Sentence Examples

[0676] By inputting the following prompt sentences into the generative AI model, it can generate sentences to guide users through the process of connecting a new electronic device purchased from a virtual store to their home network.

[0677] "Please explain the process by which a user can automatically connect a newly purchased device (e.g., a smart refrigerator) to their home network. Specifically, please detail how the head-mounted display guides the user through the setup and provides real-time connectivity status."

[0678] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0679] The processing flow and specific operations of the system program that realizes the application example

[0680] Step 1: Device Recognition

[0681] The server detects new connection requests within the network: when a user turns on a new electronic device and attempts to connect to the home Wi-Fi, the server receives a connection request from that device.

[0682] Input: Wi-Fi connection request from electronic device

[0683] Data processing: Monitoring network traffic and detecting connection requests

[0684] Output: New device connection request information

[0685] Step 2: Collect device information

[0686] The server performs simple communication with the new device to collect basic information (MAC address, IP address, manufacturer name), which is then stored in a database.

[0687] Input: New device connection request information

[0688] Data processing: initial communication with the device and acquisition of basic information

[0689] Output: Basic device information (MAC address, IP address, manufacturer name)

[0690] Step 3: Select a configuration profile

[0691] The server uses the collected basic information to search a database for and select the appropriate configuration profile, which includes network and security settings.

[0692] Input: Basic device information

[0693] Data processing: Matching basic information with database profiles

[0694] Output: The appropriate configuration profile

[0695] Step 4: Applying the configuration profile

[0696] The server automatically applies network settings to new devices using the selected configuration profile, then verifies that the electronic device is configured correctly.

[0697] Enter the appropriate configuration profile

[0698] Data manipulation: Applying configuration profiles to devices

[0699] Output: Status information of the settings applied

[0700] Step 5: Test and verify the connection

[0701] After applying the settings, the server performs a communication test to confirm that the device is properly connected to the network. If the result of the communication test is normal, the information is passed on to the next step.

[0702] Input: Status information of the settings applied

[0703] Data processing: Conducting communication tests and checking results

[0704] Output: Communication test results

[0705] Step 6: User Notification

[0706] The server notifies the user of the results of the communication test, and visually displays the connection status and configuration progress on a head-mounted display.

[0707] Input: Communication test result

[0708] Data processing: Creating notification messages for test results

[0709] Output: A notification message to the user's terminal

[0710] Step 7: Optimize your system

[0711] The server uses the collected information and user feedback to update its configuration profiles and AI algorithms, improving the stability and security of future connections.

[0712] Input: User feedback and usage data

[0713] Data processing: Analysis of feedback and usage data

[0714] Output: Updated configuration profile and system optimization information

[0715] Step 8: Cloud storage of purchasing information in the physical world

[0716] The server stores purchase information from the virtual store on the cloud and makes it possible to refer to the associated setting profile as appropriate.

[0717] Enter purchasing info record

[0718] Data processing: Cloud storage of purchasing information

[0719] Output: Purchasing information stored on the cloud

[0720] Step 9: Provide setup guidance

[0721] The server uses information stored in the cloud to provide a setup guide when the user connects a new device, with the head-mounted display providing step-by-step support.

[0722] Input: Purchasing information stored on the cloud

[0723] Data processing: Generating a configuration guide

[0724] Output: Setup guide displayed on the head-mounted display

[0725] Step 10: User Visual Confirmation

[0726] The user uses a head-mounted display to check the device connection status and configuration progress in real time.

[0727] Input: Notification message from the server

[0728] Data processing: Visual display of notification messages

[0729] Output: User visual confirmation and action

[0730] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0731] The present invention is a system that automates the setup process when connecting a new electronic device to a home network, and further combines it with an emotion engine that recognizes the user's emotions, thereby reducing user stress and providing a more comfortable user experience. Specific embodiments of the present invention are described below.

[0732] System Overview

[0733] This system consists of four main components: a server, a device, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Devices are primarily smartphones or computers owned by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operational status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to the home network.

[0734] Program processing explanation

[0735] 1. Device Recognition

[0736] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[0737] The server monitors network traffic and detects when a new connection request occurs.

[0738] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[0739] 2. Device information collection

[0740] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0741] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[0742] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[0743] 3. Applying a configuration profile

[0744] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[0745] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[0746] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[0747] 4. Connection test and confirmation

[0748] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[0749] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[0750] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[0751] 5. Monitoring and analysis by emotion engine

[0752] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[0753] If the user is feeling stressed, the emotion engine will detect this and take appropriate action.

[0754] Example: If a user feels they have a connection problem, the emotion engine will analyze their stress level from their facial expressions and voice, and the server will provide detailed instructions on how to operate the device.

[0755] 6. Optimizing notification content

[0756] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[0757] This allows notifications to be sent at the timing most convenient for the user.

[0758] Example: The server sends a notification that the connection is complete when the user is relaxed.

[0759] 7. Learning and Optimization

[0760] The server optimizes and updates the system based on the user's emotional data.

[0761] The data collected by the emotion engine will be used to improve future connection settings.

[0762] Example: Review connection procedures and update system configuration profiles to minimize server stress for users.

[0763] In this way, the system of the present invention not only allows new electronic devices to be quickly and safely connected to a home network, but also takes user feelings into consideration to provide a more pleasant user experience.

[0764] The processing flow will be explained below.

[0765] Step 1:

[0766] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[0767] Step 2:

[0768] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[0769] Step 3:

[0770] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[0771] Step 4:

[0772] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[0773] Step 5:

[0774] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[0775] Step 6:

[0776] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[0777] Step 7:

[0778] After the server applies the configuration profile, it performs a communication test with the device again, using an HTTP request or similar to check whether communication with the device is normal.

[0779] Step 8:

[0780] The emotion engine monitors the user's operation status, facial expressions, voice, etc., and analyzes the user's emotions. For example, it uses a camera and microphone to understand the user's state of mind.

[0781] Step 9:

[0782] The server adjusts the notification content based on the communication test results and the user's emotional state. For example, if the user is feeling stressed, the server sends a notification with a simpler explanation.

[0783] Step 10:

[0784] The server notifies the user of the results of the communication test. For example, a push notification is sent to a smartphone stating, "Smart TV connection completed," so that the notification can be sent at a time when the user is relaxing.

[0785] Step 11:

[0786] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also optimizes the connection setting profile and system based on the data from the emotion engine.

[0787] Step 12:

[0788] The server uses the emotion engine to collect user feedback and improve the system. For example, if a user gives feedback such as "the settings are not working properly," the system is updated to reflect that feedback.

[0789] Through the above steps, the system of the present invention can quickly and safely connect new electronic devices to a home network, and also take into account the user's feelings to provide a more comfortable user experience.

[0790] Example 2

[0791] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0792] When connecting new electronic devices to a home network, users often face complex and cumbersome setup procedures that are time-consuming and laborious. Misconfigurations and connection failures can also occur, often causing frustration for users. Furthermore, conventional systems do not take into account the user's emotional state, which can be inconvenient, especially for users who are unfamiliar with technology. There is a need to provide a more comfortable and efficient electronic device connection experience by solving these issues.

[0793] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0794] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for monitoring and analyzing the user's emotions, means for optimizing the content and timing of notifications based on the emotion analysis, and means for updating the system based on the collected information and feedback. This reduces the operational burden on the user, reduces setting errors and connection failures, and makes it possible to provide a more comfortable connection experience through notifications and guidance that take the user's emotions into consideration.

[0795] "New electronic devices" refers to newly purchased or installed electronic devices that are added to a home network.

[0796] "Means for detecting connections" refers to technology or devices that automatically recognize connections when new electronic devices attempt to connect to a network.

[0797] "Basic information" refers to initial setting information collected about electronic devices, and specifically includes MAC addresses, IP addresses, manufacturer names, etc.

[0798] A "setting profile" refers to a data structure that stores a series of setting information for an electronic device to be properly connected to a network.

[0799] The "means for applying" refers to a method or technology for actually applying the specified setting profile to the electronic device.

[0800] "Communication test" refers to a connection confirmation test to check whether the electronic device is operating normally after the settings have been applied.

[0801] "Means for notifying" refers to a method or system for notifying the user of the results of the communication test or other important information.

[0802] "Means for monitoring and analyzing emotions" refers to technology and software that analyzes the user's operating status, facial expressions, voice, etc., and determines their emotional state.

[0803] "Means for optimizing notification content and timing" refers to a method or system for optimizing the content and timing of notifications sent to users based on the results of sentiment analysis.

[0804] "Means for updating the system based on collected information and feedback" refers to techniques for continuously optimizing and updating the system's configuration and operation using data and feedback obtained from users.

[0805] This invention is a system that automates the setup process when connecting new electronic devices to a home network and recognizes the user's emotions to provide a comfortable connection experience. This system consists of four main components: a server, a terminal, an emotion engine, and the user.

[0806] Server roles and functions:

[0807] The server is the core of the system, responsible for detecting the connection of new electronic devices and automating their configuration. Specifically, it performs the following tasks:

[0808] Use software that monitors network traffic to detect new electronic device connections, such as Wireshark.

[0809] It collects basic information (MAC address, IP address, manufacturer name, etc.) from any new electronic devices it detects, using an ARP request and reply mechanism.

[0810] Matching the collected information with a database (e.g., MySQL) to identify the appropriate configuration profile.

[0811] The identified configuration profile is used to automatically apply network and security settings to the electronic device.

[0812] To check whether the settings have been applied correctly, perform a communication test using Ping or an HTTP request.

[0813] The test results are notified to the user's terminal.

[0814] Device roles and functions:

[0815] The device is mainly a smartphone or computer that the user has, and is used to check settings and receive notifications. It receives notifications from the server and displays them to the user.

[0816] Roles and Functions of the Emotion Engine:

[0817] The emotion engine is software that monitors and analyzes the user's operation status, facial expressions, voice, etc. Specifically, it performs the following processes:

[0818] The emotion engine processes data from the camera and microphone in real time and analyzes the user's emotions, for example using OpenCV and voice analysis models.

[0819] If the user is feeling stressed, the state is detected and notified to the server.

[0820] The server uses this information to optimize the content and timing of notifications.

[0821] User role:

[0822] A user is an individual who purchases a new electronic device and connects it to a home network. The system automatically applies the appropriate configuration profile, allowing the user to avoid tedious setup procedures. The emotion engine also reduces stress, allowing the user to enjoy a comfortable connection experience.

[0823] Examples:

[0824] A user purchases a new smart TV and attempts to connect it to their home Wi-Fi. When the smart TV is turned on, the server recognizes its presence and collects basic information such as its MAC address and manufacturer's name. Using the collected information, the server searches for a corresponding configuration profile in its database and applies the required network settings to the smart TV. It then performs a communication test to confirm that the connection is successful. Meanwhile, the emotion engine analyzes the user's facial expressions and voice, and if the user is feeling stressed, it sends that information to the server. The server then uses this information to notify the user of appropriate guidance or support messages.

[0825] Example of a generative AI model and prompt:

[0826] An example of a generative AI model that can be used to generate explanatory text for this system is OpenAI GPT-4. An example of a prompt text is shown below:

[0827] Example prompt sentence:

[0828] Describe a system that automates the setup of new electronic devices when they are connected to a home network and reduces stress by recognizing the user's emotions. This system consists of four main components: a server, a device, an emotion engine, and the user. Please explain the system's detailed operating procedures and provide examples.

[0829] As a result, the system of the present invention can achieve fast and safe connection of new electronic devices, reducing stress for users and providing a comfortable connection experience.

[0830] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0831] Step 1:

[0832] A user turns on a new electronic device (e.g., a smart TV).

[0833] Specific behavior: The user wakes up the smart TV using the remote control or power button.

[0834] Input: The smart TV is started by the user.

[0835] Output: The smart TV sends a request to try to connect to the home Wi-Fi network.

[0836] Step 2:

[0837] The device (smart TV) attempts to connect to the home Wi-Fi network.

[0838] What it does: The TV will attempt to connect using pre-configured Wi-Fi information.

[0839] Input: Smart TV network connection request.

[0840] Output: Connection request data to Wi-Fi router.

[0841] Step 3:

[0842] The server monitors network traffic to detect new connection requests.

[0843] What happens: The server's network monitoring software (e.g., Wireshark) captures connection request packets.

[0844] Input: Network traffic data.

[0845] Output: New electronic device connection request detection information.

[0846] Step 4:

[0847] The server communicates briefly with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0848] Specific operation: The server sends an ARP request and receives an ARP reply from the device.

[0849] Input: Sending an ARP request and receiving an ARP reply from the device.

[0850] Output: Basic device information (MAC address, IP address, manufacturer name).

[0851] Step 5:

[0852] The server compares the collected basic information with a database to identify the appropriate configuration profile.

[0853] Specific Action: Look up information using the server's database software (e.g., MySQL).

[0854] Input: Basic information collected.

[0855] Output: The corresponding configuration profile.

[0856] Step 6:

[0857] The server automatically applies network and security settings to new devices using a specified configuration profile.

[0858] What happens: The server automatically applies the specified settings to the device.

[0859] Input: Configuration profile contents and devices.

[0860] Output: The applied network and security settings.

[0861] Step 7:

[0862] After the server applies the settings, it performs a communication test on the device to confirm that the settings have been applied.

[0863] Specific operation: The server sends a Ping test or HTTP request and checks the response from the device.

[0864] Input: Request data for communication test.

[0865] Output: Communication test results.

[0866] Step 8:

[0867] The server notifies the user's terminal of the results of the communication test.

[0868] Specific operation: The server pushes notifications to smartphones and PCs.

[0869] Input: Communication test result data.

[0870] Output: Notification content sent to the user's device.

[0871] Step 9:

[0872] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[0873] How it works: The emotion engine processes data from the camera and microphone in real time, for example using OpenCV and speech analysis models.

[0874] Input: Video and audio data from camera and microphone.

[0875] Output: Parsed user emotional state data.

[0876] Step 10:

[0877] If the user is feeling stressed, the emotion engine detects this state and notifies the server.

[0878] Specific operation: If the emotion engine detects signs of stress, it sends the information to the server.

[0879] Input: User emotional state data.

[0880] Output: Notify the server of stress detection information.

[0881] Step 11:

[0882] The server optimizes the content and timing of notifications based on sentiment analysis.

[0883] Specific operation: The server reconfigures the content and timing of notifications depending on the user's emotional state.

[0884] Input: Sentiment analysis results.

[0885] Output: Optimized notification content and timing.

[0886] Step 12:

[0887] The server updates the system based on the information and feedback it collects.

[0888] Specific operation: The server uses machine learning models (e.g., TensorFlow) to analyze emotion data and improve system configuration and operation.

[0889] Input: Collected information and user feedback.

[0890] Output: Optimized and updated system settings.

[0891] (Application example 2)

[0892] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0893] In the past, the introduction of new robots and machinery in factories was complicated and required specialized knowledge, causing stress for operators during setup. Misconfigurations could also lead to malfunctions and incomplete network connections, reducing factory efficiency and safety. This has created a need for fast and accurate setup of new equipment.

[0894] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine, means for adjusting the content of notifications to the user based on the analysis results, and means for updating the system based on the collected information and feedback. This enables quick and accurate configuration of new robots and machines and reduces operator stress.

[0895] "New electronic devices" refers to electronic devices that are not yet connected to a home or factory network.

[0896] An "emotion engine" refers to technology or software that analyzes a user's operating status, facial expressions, voice, etc., and recognizes their emotional state.

[0897] A "configuration profile" refers to a set of network and security settings to be applied to a particular device.

[0898] "Communication test" refers to the process of testing communication between a device and a network to ensure that the configuration is correct.

[0899] "User" refers to the individual or operator who connects and configures a new electronic device to the network.

[0900] "Notification content" refers to information for informing the user of the results of the communication test, the progress of the settings, and the like.

[0901] "Analysis results" refers to data and information obtained as a result of the emotion engine analyzing the user's emotions.

[0902] "Feedback" refers to information that the system uses to improve the system based on evaluations and opinions received from users.

[0903] "Server" refers to a central computer system that manages and configures devices on a network.

[0904] The present invention provides a system that quickly and accurately connects new electronic devices to networks in homes and factories, and further recognizes the user's emotions to reduce stress. Specific methods for implementing the present invention are described below.

[0905] System Overview

[0906] This system consists of four main components: a server, a terminal, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Terminals are primarily smartphones or computers carried by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operating status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to a home or factory network.

[0907] 1. Device recognition:

[0908] When a user turns on a new electronic device to connect, the device attempts to connect to the network.

[0909] The server detects this new connection request and recognizes the target device.

[0910] 2. Device Information Collection:

[0911] The server communicates with the new device briefly to collect basic information such as its MAC address, IP address, and manufacturer name.

[0912] The collected basic information is compared against a database on the server to identify the appropriate configuration profile.

[0913] 3. Apply the configuration profile:

[0914] The server automatically applies network and security settings to new devices using the appropriate configuration profile.

[0915] After the settings are applied, the server performs a communication test on the device to ensure it can communicate successfully with the network.

[0916] 4. Emotion Engine Monitoring:

[0917] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state.

[0918] Based on the analysis results, if the user is feeling stressed, appropriate support information and guidance will be provided.

[0919] 5. Notification content optimization:

[0920] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[0921] By providing notifications in a way that takes into consideration the user's emotional state, it reduces stress for the user and provides a comfortable operating experience.

[0922] 6. Update your system:

[0923] The server optimizes and updates the system based on the collected information and feedback.

[0924] We will use the data collected by the emotion engine to improve the system in the future.

[0925] Hardware and software used

[0926] Hardware: Robots in the factory, smart glasses for operators, servers.

[0927] Software: Python, EmotionEngine library.

[0928] Specific examples

[0929] For example, when introducing a new robot, "Factory Robot X," to a factory, an operator puts on the smart glasses and sets up the new robot. When the robot attempts to connect to the network, the server automatically recognizes it and completes all the configuration. After the configuration is complete, if the emotion engine detects stress in the operator, it can provide detailed operating instructions.

[0930] Prompt Sentence Examples

[0931] I'm trying to connect "Factory Robot X" to the factory. Can you provide some guidance to help the operator who is feeling stressed?

[0932] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0933] Step 1:

[0934] Device Recognition:

[0935] When a user turns on a new electronic device, such as a robot, the device attempts to connect to the network. The server monitors these new connection requests and detects that the device has been connected to the network. The input is the device connection signal, and the output is device recognition.

[0936] Specific behavior:

[0937] The server monitors network traffic and detects new device connection requests by receiving signals from devices trying to connect to a home or factory Wi-Fi network, and the server analyzes the signals to recognize the device's presence.

[0938] Step 2:

[0939] Device Information Collection:

[0940] The server performs simple communication with the recognized device and collects basic information such as MAC address, IP address, manufacturer name, etc. The input is a request for basic information about the device, and the output is the collected basic information.

[0941] Specific behavior:

[0942] The server establishes communication with the device and obtains basic information from the device, such as MAC address, IP address, and manufacturer name, which allows the server to identify and identify the target device.

[0943] Step 3:

[0944] Select a configuration profile:

[0945] The server searches for and selects an appropriate configuration profile from the database based on the collected basic information. The input is the device's basic information, and the output is the selected configuration profile.

[0946] Specific behavior:

[0947] The server checks the collected device information against a database to find a matching configuration profile, for example, "Factory Robot X," and selects that particular profile.

[0948] Step 4:

[0949] Applying a configuration profile:

[0950] The server applies the selected configuration profile to the device: the input is the configuration profile and the output is the device with the profile applied.

[0951] Specific behavior:

[0952] The server sends the selected configuration profile to the device, and automatically applies settings such as network ID, encryption key, and IP address to the device, allowing the device to connect to the network correctly.

[0953] Step 5:

[0954] Conduct a communication test:

[0955] The server performs a communication test on the device to confirm that the settings have been applied correctly. The input is the applied device settings, and the output is the communication test result.

[0956] Specific behavior:

[0957] The server sends and receives data to and from the device to check whether communication is normal, in order to ensure the stability of the network connection and the accuracy of security settings.

[0958] Step 6:

[0959] Emotion Engine Monitoring:

[0960] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state. The input is the user's facial expressions and voice data, and the output is the emotion analysis results.

[0961] Specific behavior:

[0962] The emotion engine analyzes real-time data provided by the user through smart glasses or a camera to determine whether the user is feeling stressed.

[0963] Step 7:

[0964] User Notification Applies:

[0965] The server adjusts the content and timing of notifications based on the analysis results of the emotion engine according to the user's emotions. The input is the emotion analysis results, and the output is the adjusted notification content.

[0966] Specific behavior:

[0967] The server sends notifications when the user is relaxed and provides detailed guidance and support information when the user is stressed, thereby reducing the user's stress and providing a more comfortable operating experience.

[0968] Step 8:

[0969] Performing a system update:

[0970] The server optimizes and updates the system based on the collected information and feedback. The input is the feedback information, and the output is the optimized system.

[0971] Specific behavior:

[0972] The server analyzes user actions and emotional data to improve future connection settings and update system profiles, keeping the system always up to date.

[0973] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0974] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0975] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0976] [Third embodiment]

[0977] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0978] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0979] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0980] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0981] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0982] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0983] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0984] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0985] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0986] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0987] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0988] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0989] The present invention provides a system for automating the setup process when connecting a new electronic device to a home network, enabling stable and secure device connection while minimizing the user's effort. Specific embodiments of the present invention are described below.

[0990] System Overview

[0991] The system consists of three main elements: a server, a device, and a user. The server exists on the network and acts as a central point for automating the connection and configuration of electronic devices. The device is typically a user's smartphone or computer, and is used for configuration and receiving notifications. The user is an individual who wants to connect a new electronic device to their home network.

[0992] Program processing explanation

[0993] 1. Device Recognition

[0994] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[0995] The server monitors network traffic and detects when a new connection request occurs.

[0996] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[0997] 2. Device information collection

[0998] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[0999] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[1000] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[1001] 3. Applying a configuration profile

[1002] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[1003] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[1004] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[1005] 4. Connection test and confirmation

[1006] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[1007] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[1008] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[1009] 5. Learning and Optimization

[1010] The server continuously collects device usage and user feedback to optimize the system.

[1011] Update your configuration profiles and AI algorithms as new devices and technologies come to market.

[1012] Example: A server can automatically refine a configuration profile to prevent issues when connecting a smart TV in the future.

[1013] This system allows users to easily connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[1014] The processing flow will be explained below.

[1015] Step 1:

[1016] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[1017] Step 2:

[1018] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[1019] Step 3:

[1020] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[1021] Step 4:

[1022] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[1023] Step 5:

[1024] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[1025] Step 6:

[1026] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[1027] Step 7:

[1028] To confirm the settings after the server has applied them, the server performs a communication test with the device again. For example, it uses an HTTP request to check whether communication with the device is normal.

[1029] Step 8:

[1030] The server evaluates the results of the communication test to ensure that there are no abnormalities, for example, that the correct response is returned from the device.

[1031] Step 9:

[1032] The server notifies the user's device that the communication test has been successfully completed. For example, it sends a push notification to the smartphone saying, "Smart TV connection completed."

[1033] Step 10:

[1034] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also analyzes connection settings and behavior patterns to improve setting profiles and optimize the system.

[1035] Through these steps, the system of the present invention can quickly and safely connect a new electronic device to a home network, allowing users to smoothly connect devices without requiring specialized knowledge.

[1036] Example 1

[1037] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1038] In modern home networks, the setup procedure for connecting new electronic devices is complicated and burdensome for users. In particular, if the network and security settings are not configured properly, the connection may become unstable or a security risk may arise. Furthermore, since the setup depends on each user's knowledge and skills, it is not uncommon for incorrect settings to be made. There is a need for a method to automate the traditional manual setup procedure, reducing the burden on users while ensuring network stability and security.

[1039] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1040] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for conducting a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for monitoring network traffic to detect a new connection request, means for comparing the collected basic information with a database, means for confirming that the device is properly connected to the network if the communication test is successful, and means for collecting feedback from the user and optimizing the system. This enables a user to easily and safely connect a new electronic device to a home network without specialized knowledge.

[1041] The "means for detecting the connection of a new electronic device" has the function of identifying a device newly connected to a home network in real time.

[1042] The "means for collecting basic information" refers to a function that allows for obtaining data necessary for initial setup, such as MAC addresses, IP addresses, and manufacturer names, from detected electronic devices.

[1043] The "means for selecting an appropriate setting profile" has a function to automatically select a profile including the optimal network and security settings for the electronic device based on the collected basic information.

[1044] The "means for applying the setting profile to the electronic device" has a function for reflecting the selected setting profile in the new electronic device.

[1045] The "means for performing a communication test" has a function for performing a test to confirm whether the electronic device is normally connected to the network after the setting profile has been applied.

[1046] The "means for notifying the user of the results of the communication test" has a function for informing the user of information on whether the communication test was successful or not.

[1047] The "means for updating the system" has the function of optimizing the overall system performance and setting profile based on collected information and user feedback.

[1048] The "means for monitoring network traffic to detect new connection requests" has a function for monitoring connection requests on the network in real time and identifying connections of new devices.

[1049] The "means for checking basic information against a database" has a function for comparing the collected basic information of a new electronic device with a database prepared in advance and identifying a matching setting profile.

[1050] The "means for confirming that the electronic device is properly connected to the network" means a function for confirming that the electronic device is properly connected to the network if the communication test is successful.

[1051] "Means for collecting feedback from users and optimizing the system" refers to a function that analyzes opinions and usage data obtained from users and aims to improve and optimize the entire system.

[1052] This invention is a system that automates the setup process when connecting a new electronic device to a home network. This system consists of three main elements: the user, the server, and the terminal, and enables stable and secure device connection while minimizing user effort.

[1053] System configuration and operation overview

[1054] 1. Hardware and Software Use

[1055] server:

[1056] Hardware: Data center or cloud-based servers (e.g., AWS EC2, Microsoft Azure VM)

[1057] Software: Device management systems, network traffic monitoring tools (e.g., Wireshark), database management systems (e.g., MySQL, MongoDB)

[1058] Device:

[1059] Hardware: Smartphones (e.g. iPhone, Android), computers

[1060] Software: Dedicated application or web browser

[1061] User:

[1062] Hardware: New electronic devices (e.g., smart TVs)

[1063] Software: Initial setup software for the device

[1064] 2. Example and operation explanation

[1065] User Action:

[1066] Example: A user buys a new smart TV and wants to connect it to their home Wi-Fi network. When the user turns on the smart TV, the device attempts to connect to their home Wi-Fi network.

[1067] Server behavior:

[1068] The server monitors network traffic in real time to detect new connection requests, using tools such as network traffic monitoring tools like Wireshark.

[1069] The server sends an ARP request to the new device to obtain its MAC address and manufacturer name, and then uses that information to search its database for the appropriate configuration profile.

[1070] Once a configuration profile is identified, the server automatically applies network and security settings to the device using that profile, and then performs communication tests using ping commands and TCP connection tests.

[1071] After confirming that the communication test was successful, the server sends a notification of connection completion to the user's device via a dedicated application or email.

[1072] Additionally, the server collects usage and feedback and analyzes the data for system-wide optimization, ensuring the system is updated to ensure appropriate settings are applied even when new devices are added in the future.

[1073] 3. Examples of prompts

[1074] "Please provide a detailed description of the automatic setup process for connecting a new smart TV to a home network. Please also include details of what each step does, what specific behavior it performs, and what the user is notified about."

[1075] This system allows users to easily and safely connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[1076] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1077] Step 1:

[1078] New Device Discovery

[1079] Input: A user turns on a new electronic device to connect it to the home network.

[1080] What it does: When a user turns on their smart TV, the device attempts to connect to their home Wi-Fi network.

[1081] Data processing: The server uses a network traffic monitoring tool (e.g., Wireshark) to monitor MAC addresses and IP addresses on the network in real time.

[1082] Output: The server detects a new connection request.

[1083] Step 2:

[1084] Collecting device information

[1085] Input: A new electronic device that the server detects is requesting a connection

[1086] Specific operation: The server obtains the MAC address and IP address of the new device by sending an ARP request.

[1087] Data processing: Based on the acquired MAC address and IP address, the OUI (Organizationally Unique Identifier) ​​database is referenced to confirm the manufacturer name.

[1088] Output: Collected basic information (MAC address, IP address, manufacturer name)

[1089] Step 3:

[1090] Selecting a configuration profile

[1091] Input: Collected basic information (MAC address, IP address, manufacturer name)

[1092] Specific operation: The server checks this information against a database to find the corresponding configuration profile.

[1093] Data calculation: Executes SQL queries based on basic information to extract appropriate configuration profiles.

[1094] Output: Identified configuration profile

[1095] Step 4:

[1096] Applying a Configuration Profile

[1097] Input: A specified configuration profile

[1098] What happens: The server sends a configuration command to apply the specified configuration profile to the new device, including settings like Wi-Fi SSID, encryption key, and IP address.

[1099] Data processing: Generates actual network configuration commands based on the configuration profile and delivers them to the device.

[1100] Output: The electronic device in its fully configured state

[1101] Step 5:

[1102] Checking the connection status

[1103] Input: Electronic device in a fully configured state

[1104] Specific operation: The server performs a communication test (e.g., Ping command, TCP connection test) to check whether the device is properly connected to the network.

[1105] Data Calculation: Analyze ping response time and TCP connection session status.

[1106] Output: Communication test result (success or failure)

[1107] Step 6:

[1108] User Notifications

[1109] Input: Communication test result

[1110] Specific operation: If the communication test is successful, the server will notify the user of the successful connection via a dedicated application or email.

[1111] Data calculation: Converts the results of the communication test into a notification message.

[1112] Output: Send a connection completion notification to the user's device

[1113] Step 7:

[1114] Learning and Optimization

[1115] Input: Collected device usage and user feedback

[1116] Specific operation: The server periodically collects communication logs from devices, analyzes network performance, and reflects user feedback in system improvements.

[1117] Data calculation: Based on the collected data, feedback is given to the generative AI model to optimize the setting profile and system.

[1118] Output: Improved settings profiles and optimized system

[1119] Through these processing steps, the system allows new electronic devices to be easily and securely connected to the home network, and the server monitors and optimizes the settings and connection status to improve network security and communication stability.

[1120] (Application example 1)

[1121] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1122] In today's home network environment, connecting new electronic devices requires complex configuration, which is a time-consuming and time-consuming process for many users. The configuration process is particularly challenging for first-time smart device users, creating a demand for automated, easy-to-understand connection guides. Furthermore, the lack of a visual interface that allows users to easily configure and check the status of network connections at a glance poses a challenge in providing a user-friendly experience.

[1123] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1124] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for storing purchasing information in the real world in the cloud, means for providing a setting guide based on the stored related information, and means for visually displaying the connection status and progress via a head-mounted display, thereby enabling a user to easily connect a new electronic device to the home network and visually check the connection status in real time.

[1125] 1. "Electronic devices" refers to all devices intended to be connected to a network, including smartphones, computers, smart TVs, and smart home appliances.

[1126] 2. "Server" means a central device or program that provides services over a network and manages and monitors the connections and settings of electronic devices.

[1127] 3. "Means for detecting connection" means a mechanism that has the function of detecting when an electronic device is connected to a network.

[1128] 4. "Means for collecting basic information" refers to a mechanism for obtaining initial information such as the MAC address, IP address, and manufacturer name of electronic devices.

[1129] 5. "Configuration Profile" means a set of pre-prepared configuration information for automatically applying network connection settings and security settings to an electronic device.

[1130] 6. "Means for performing communication tests" refers to a mechanism for confirming that electronic devices are correctly connected to the network and that communication is normal.

[1131] 7. "Means of notifying the user" refers to a mechanism for notifying the user's device of the application status of settings and the results of communication tests.

[1132] 8. "Means for updating the system" refers to a mechanism for optimizing configuration profiles and AI algorithms based on collected information and user feedback.

[1133] 9. "Cloud storage" means storing purchasing information and connection settings on a remote server on a network, making them accessible as needed.

[1134] 10. "Means for providing configuration guidance" refers to a mechanism that provides step-by-step support for the configuration procedure when a user connects a new electronic device to a network.

[1135] 11. A "head-mounted display" is a device worn by a user on the head that displays a display in front of the user's line of sight, providing augmented reality or virtual reality.

[1136] 12. "Visual display means" refers to a mechanism for visually presenting the connection status and configuration progress to the user in an easy-to-understand manner.

[1137] This invention is a system that allows users to easily connect new electronic devices they have purchased to a home network, and is particularly characterized by the ability to visually check the connection status by using a head-mounted display.

[1138] The system consists of three main elements: a server, a terminal (especially a head-mounted display), and a user. The server provides services over the network and automates, manages, and monitors the connection and configuration of electronic devices. The terminal is primarily a head-mounted display, through which the user can receive configuration guidance and check the connection status. The user is an individual who wants to connect a new electronic device to their home network.

[1139] 1. Hardware and Software

[1140] Hardware used

[1141] Server: A high-performance computer or cloud server

[1142] Device: Head-mounted display (e.g., Oculus Quest)

[1143] Software used

[1144] Programming language: Python

[1145] Library: Requests

[1146] Server API: RESTful API

[1147] 2. Data processing and calculation

[1148] The server monitors home network traffic to detect new connection requests. At this time, it collects basic information about the newly added electronic device (MAC address, IP address, manufacturer name, etc.) and uses that information to search a database for an appropriate configuration profile. After applying the configuration profile, it performs a communication test and notifies the user of the results. The user can visually confirm this notification through a head-mounted display.

[1149] Specific examples

[1150] For example, consider the case where a user purchases a new smart refrigerator at a virtual store. When the user brings the refrigerator home and turns it on, a setup guide automatically starts on the head-mounted display. The user follows the guide to connect the refrigerator to the home Wi-Fi network. The server monitors the connection status and communication test results in real time, and once it confirms that communication is normal, it displays the results on the head-mounted display. This allows the user to visually check the connection status and use the new device with peace of mind.

[1151] Prompt Sentence Examples

[1152] By inputting the following prompt sentences into the generative AI model, it can generate sentences to guide users through the process of connecting a new electronic device purchased from a virtual store to their home network.

[1153] "Please explain the process by which a user can automatically connect a newly purchased device (e.g., a smart refrigerator) to their home network. Specifically, please detail how the head-mounted display guides the user through the setup and provides real-time connectivity status."

[1154] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1155] The processing flow and specific operations of the system program that realizes the application example

[1156] Step 1: Device Recognition

[1157] The server detects new connection requests within the network: when a user turns on a new electronic device and attempts to connect to the home Wi-Fi, the server receives a connection request from that device.

[1158] Input: Wi-Fi connection request from electronic device

[1159] Data processing: Monitoring network traffic and detecting connection requests

[1160] Output: New device connection request information

[1161] Step 2: Collect device information

[1162] The server performs simple communication with the new device to collect basic information (MAC address, IP address, manufacturer name), which is then stored in a database.

[1163] Input: New device connection request information

[1164] Data processing: initial communication with the device and acquisition of basic information

[1165] Output: Basic device information (MAC address, IP address, manufacturer name)

[1166] Step 3: Select a configuration profile

[1167] The server uses the collected basic information to search a database for and select the appropriate configuration profile, which includes network and security settings.

[1168] Input: Basic device information

[1169] Data processing: Matching basic information with database profiles

[1170] Output: The appropriate configuration profile

[1171] Step 4: Applying the configuration profile

[1172] The server automatically applies network settings to new devices using the selected configuration profile, then verifies that the electronic device is configured correctly.

[1173] Enter the appropriate configuration profile

[1174] Data manipulation: Applying configuration profiles to devices

[1175] Output: Status information of the settings applied

[1176] Step 5: Test and verify the connection

[1177] After applying the settings, the server performs a communication test to confirm that the device is properly connected to the network. If the result of the communication test is normal, the information is passed on to the next step.

[1178] Input: Status information of the settings applied

[1179] Data processing: Conducting communication tests and checking results

[1180] Output: Communication test results

[1181] Step 6: User Notification

[1182] The server notifies the user of the results of the communication test, and visually displays the connection status and configuration progress on a head-mounted display.

[1183] Input: Communication test result

[1184] Data processing: Creating notification messages for test results

[1185] Output: A notification message to the user's terminal

[1186] Step 7: Optimize your system

[1187] The server uses the collected information and user feedback to update its configuration profiles and AI algorithms, improving the stability and security of future connections.

[1188] Input: User feedback and usage data

[1189] Data processing: Analysis of feedback and usage data

[1190] Output: Updated configuration profile and system optimization information

[1191] Step 8: Cloud storage of purchasing information in the physical world

[1192] The server stores purchase information from the virtual store on the cloud and makes it possible to refer to the associated setting profile as appropriate.

[1193] Enter purchasing info record

[1194] Data processing: Cloud storage of purchasing information

[1195] Output: Purchasing information stored on the cloud

[1196] Step 9: Provide setup guidance

[1197] The server uses information stored in the cloud to provide a setup guide when the user connects a new device, with the head-mounted display providing step-by-step support.

[1198] Input: Purchasing information stored on the cloud

[1199] Data processing: Generating a configuration guide

[1200] Output: Setup guide displayed on the head-mounted display

[1201] Step 10: User Visual Confirmation

[1202] The user uses a head-mounted display to check the device connection status and configuration progress in real time.

[1203] Input: Notification message from the server

[1204] Data processing: Visual display of notification messages

[1205] Output: User visual confirmation and action

[1206] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1207] The present invention is a system that automates the setup process when connecting a new electronic device to a home network, and further combines it with an emotion engine that recognizes the user's emotions, thereby reducing user stress and providing a more comfortable user experience. Specific embodiments of the present invention are described below.

[1208] System Overview

[1209] This system consists of four main components: a server, a device, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Devices are primarily smartphones or computers owned by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operational status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to the home network.

[1210] Program processing explanation

[1211] 1. Device Recognition

[1212] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[1213] The server monitors network traffic and detects when a new connection request occurs.

[1214] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[1215] 2. Device information collection

[1216] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[1217] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[1218] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[1219] 3. Applying a configuration profile

[1220] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[1221] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[1222] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[1223] 4. Connection test and confirmation

[1224] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[1225] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[1226] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[1227] 5. Monitoring and analysis by emotion engine

[1228] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[1229] If the user is feeling stressed, the emotion engine will detect this and take appropriate action.

[1230] Example: If a user feels they have a connection problem, the emotion engine will analyze their stress level from their facial expressions and voice, and the server will provide detailed instructions on how to operate the device.

[1231] 6. Optimizing notification content

[1232] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[1233] This allows notifications to be sent at the timing most convenient for the user.

[1234] Example: The server sends a notification that the connection is complete when the user is relaxed.

[1235] 7. Learning and Optimization

[1236] The server optimizes and updates the system based on the user's emotional data.

[1237] The data collected by the emotion engine will be used to improve future connection settings.

[1238] Example: Review connection procedures and update system configuration profiles to minimize server stress for users.

[1239] In this way, the system of the present invention not only allows new electronic devices to be quickly and safely connected to a home network, but also takes user feelings into consideration to provide a more pleasant user experience.

[1240] The processing flow will be explained below.

[1241] Step 1:

[1242] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[1243] Step 2:

[1244] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[1245] Step 3:

[1246] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[1247] Step 4:

[1248] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[1249] Step 5:

[1250] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[1251] Step 6:

[1252] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[1253] Step 7:

[1254] After the server applies the configuration profile, it performs a communication test with the device again, using an HTTP request or similar to check whether communication with the device is normal.

[1255] Step 8:

[1256] The emotion engine monitors the user's operation status, facial expressions, voice, etc., and analyzes the user's emotions. For example, it uses a camera and microphone to understand the user's state of mind.

[1257] Step 9:

[1258] The server adjusts the notification content based on the communication test results and the user's emotional state. For example, if the user is feeling stressed, the server sends a notification with a simpler explanation.

[1259] Step 10:

[1260] The server notifies the user of the results of the communication test. For example, a push notification is sent to a smartphone stating, "Smart TV connection completed," so that the notification can be sent at a time when the user is relaxing.

[1261] Step 11:

[1262] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also optimizes the connection setting profile and system based on the data from the emotion engine.

[1263] Step 12:

[1264] The server uses the emotion engine to collect user feedback and improve the system. For example, if a user gives feedback such as "the settings are not working properly," the system is updated to reflect that feedback.

[1265] Through the above steps, the system of the present invention can quickly and safely connect new electronic devices to a home network, and also take into account the user's feelings to provide a more comfortable user experience.

[1266] Example 2

[1267] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1268] When connecting new electronic devices to a home network, users often face complex and cumbersome setup procedures that are time-consuming and laborious. Misconfigurations and connection failures can also occur, often causing frustration for users. Furthermore, conventional systems do not take into account the user's emotional state, which can be inconvenient, especially for users who are unfamiliar with technology. There is a need to provide a more comfortable and efficient electronic device connection experience by solving these issues.

[1269] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1270] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for monitoring and analyzing the user's emotions, means for optimizing the content and timing of notifications based on the emotion analysis, and means for updating the system based on the collected information and feedback. This reduces the operational burden on the user, reduces setting errors and connection failures, and makes it possible to provide a more comfortable connection experience through notifications and guidance that take the user's emotions into consideration.

[1271] "New electronic devices" refers to newly purchased or installed electronic devices that are added to a home network.

[1272] "Means for detecting connections" refers to technology or devices that automatically recognize connections when new electronic devices attempt to connect to a network.

[1273] "Basic information" refers to initial setting information collected about electronic devices, and specifically includes MAC addresses, IP addresses, manufacturer names, etc.

[1274] A "setting profile" refers to a data structure that stores a series of setting information for an electronic device to be properly connected to a network.

[1275] The "means for applying" refers to a method or technology for actually applying the specified setting profile to the electronic device.

[1276] "Communication test" refers to a connection confirmation test to check whether the electronic device is operating normally after the settings have been applied.

[1277] "Means for notifying" refers to a method or system for notifying the user of the results of the communication test or other important information.

[1278] "Means for monitoring and analyzing emotions" refers to technology and software that analyzes the user's operating status, facial expressions, voice, etc., and determines their emotional state.

[1279] "Means for optimizing notification content and timing" refers to a method or system for optimizing the content and timing of notifications sent to users based on the results of sentiment analysis.

[1280] "Means for updating the system based on collected information and feedback" refers to techniques for continuously optimizing and updating the system's configuration and operation using data and feedback obtained from users.

[1281] This invention is a system that automates the setup process when connecting new electronic devices to a home network and recognizes the user's emotions to provide a comfortable connection experience. This system consists of four main components: a server, a terminal, an emotion engine, and the user.

[1282] Server roles and functions:

[1283] The server is the core of the system, responsible for detecting the connection of new electronic devices and automating their configuration. Specifically, it performs the following tasks:

[1284] Use software that monitors network traffic to detect new electronic device connections, such as Wireshark.

[1285] It collects basic information (MAC address, IP address, manufacturer name, etc.) from any new electronic devices it detects, using an ARP request and reply mechanism.

[1286] Matching the collected information with a database (e.g., MySQL) to identify the appropriate configuration profile.

[1287] The identified configuration profile is used to automatically apply network and security settings to the electronic device.

[1288] To check whether the settings have been applied correctly, perform a communication test using Ping or an HTTP request.

[1289] The test results are notified to the user's terminal.

[1290] Device roles and functions:

[1291] The device is mainly a smartphone or computer that the user has, and is used to check settings and receive notifications. It receives notifications from the server and displays them to the user.

[1292] Roles and Functions of the Emotion Engine:

[1293] The emotion engine is software that monitors and analyzes the user's operation status, facial expressions, voice, etc. Specifically, it performs the following processes:

[1294] The emotion engine processes data from the camera and microphone in real time and analyzes the user's emotions, for example using OpenCV and voice analysis models.

[1295] If the user is feeling stressed, the state is detected and notified to the server.

[1296] The server uses this information to optimize the content and timing of notifications.

[1297] User role:

[1298] A user is an individual who purchases a new electronic device and connects it to a home network. The system automatically applies the appropriate configuration profile, allowing the user to avoid tedious setup procedures. The emotion engine also reduces stress, allowing the user to enjoy a comfortable connection experience.

[1299] Examples:

[1300] A user purchases a new smart TV and attempts to connect it to their home Wi-Fi. When the smart TV is turned on, the server recognizes its presence and collects basic information such as its MAC address and manufacturer's name. Using the collected information, the server searches for a corresponding configuration profile in its database and applies the required network settings to the smart TV. It then performs a communication test to confirm that the connection is successful. Meanwhile, the emotion engine analyzes the user's facial expressions and voice, and if the user is feeling stressed, it sends that information to the server. The server then uses this information to notify the user of appropriate guidance or support messages.

[1301] Example of a generative AI model and prompt:

[1302] An example of a generative AI model that can be used to generate explanatory text for this system is OpenAI GPT-4. An example of a prompt text is shown below:

[1303] Example prompt sentence:

[1304] Describe a system that automates the setup of new electronic devices when they are connected to a home network and reduces stress by recognizing the user's emotions. This system consists of four main components: a server, a device, an emotion engine, and the user. Please explain the system's detailed operating procedures and provide examples.

[1305] As a result, the system of the present invention can achieve fast and safe connection of new electronic devices, reducing stress for users and providing a comfortable connection experience.

[1306] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1307] Step 1:

[1308] A user turns on a new electronic device (e.g., a smart TV).

[1309] Specific behavior: The user wakes up the smart TV using the remote control or power button.

[1310] Input: The smart TV is started by the user.

[1311] Output: The smart TV sends a request to try to connect to the home Wi-Fi network.

[1312] Step 2:

[1313] The device (smart TV) attempts to connect to the home Wi-Fi network.

[1314] What it does: The TV will attempt to connect using pre-configured Wi-Fi information.

[1315] Input: Smart TV network connection request.

[1316] Output: Connection request data to Wi-Fi router.

[1317] Step 3:

[1318] The server monitors network traffic to detect new connection requests.

[1319] What happens: The server's network monitoring software (e.g., Wireshark) captures connection request packets.

[1320] Input: Network traffic data.

[1321] Output: New electronic device connection request detection information.

[1322] Step 4:

[1323] The server communicates briefly with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[1324] Specific operation: The server sends an ARP request and receives an ARP reply from the device.

[1325] Input: Sending an ARP request and receiving an ARP reply from the device.

[1326] Output: Basic device information (MAC address, IP address, manufacturer name).

[1327] Step 5:

[1328] The server compares the collected basic information with a database to identify the appropriate configuration profile.

[1329] Specific Action: Look up information using the server's database software (e.g., MySQL).

[1330] Input: Basic information collected.

[1331] Output: The corresponding configuration profile.

[1332] Step 6:

[1333] The server automatically applies network and security settings to new devices using a specified configuration profile.

[1334] What happens: The server automatically applies the specified settings to the device.

[1335] Input: Configuration profile contents and devices.

[1336] Output: The applied network and security settings.

[1337] Step 7:

[1338] After the server applies the settings, it performs a communication test on the device to confirm that the settings have been applied.

[1339] Specific operation: The server sends a Ping test or HTTP request and checks the response from the device.

[1340] Input: Request data for communication test.

[1341] Output: Communication test results.

[1342] Step 8:

[1343] The server notifies the user's terminal of the results of the communication test.

[1344] Specific operation: The server pushes notifications to smartphones and PCs.

[1345] Input: Communication test result data.

[1346] Output: Notification content sent to the user's device.

[1347] Step 9:

[1348] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[1349] How it works: The emotion engine processes data from the camera and microphone in real time, for example using OpenCV and speech analysis models.

[1350] Input: Video and audio data from camera and microphone.

[1351] Output: Parsed user emotional state data.

[1352] Step 10:

[1353] If the user is feeling stressed, the emotion engine detects this state and notifies the server.

[1354] Specific operation: If the emotion engine detects signs of stress, it sends the information to the server.

[1355] Input: User emotional state data.

[1356] Output: Notify the server of stress detection information.

[1357] Step 11:

[1358] The server optimizes the content and timing of notifications based on sentiment analysis.

[1359] Specific operation: The server reconfigures the content and timing of notifications depending on the user's emotional state.

[1360] Input: Sentiment analysis results.

[1361] Output: Optimized notification content and timing.

[1362] Step 12:

[1363] The server updates the system based on the information and feedback it collects.

[1364] Specific operation: The server uses machine learning models (e.g., TensorFlow) to analyze emotion data and improve system configuration and operation.

[1365] Input: Collected information and user feedback.

[1366] Output: Optimized and updated system settings.

[1367] (Application example 2)

[1368] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1369] In the past, the introduction of new robots and machinery in factories was complicated and required specialized knowledge, causing stress for operators during setup. Misconfigurations could also lead to malfunctions and incomplete network connections, reducing factory efficiency and safety. This has created a need for fast and accurate setup of new equipment.

[1370] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine, means for adjusting the content of notifications to the user based on the analysis results, and means for updating the system based on the collected information and feedback. This enables quick and accurate configuration of new robots and machines and reduces operator stress.

[1371] "New electronic devices" refers to electronic devices that are not yet connected to a home or factory network.

[1372] An "emotion engine" refers to technology or software that analyzes a user's operating status, facial expressions, voice, etc., and recognizes their emotional state.

[1373] A "configuration profile" refers to a set of network and security settings to be applied to a particular device.

[1374] "Communication test" refers to the process of testing communication between a device and a network to ensure that the configuration is correct.

[1375] "User" refers to the individual or operator who connects and configures a new electronic device to the network.

[1376] "Notification content" refers to information for informing the user of the results of the communication test, the progress of the settings, and the like.

[1377] "Analysis results" refers to data and information obtained as a result of the emotion engine analyzing the user's emotions.

[1378] "Feedback" refers to information that the system uses to improve the system based on evaluations and opinions received from users.

[1379] "Server" refers to a central computer system that manages and configures devices on a network.

[1380] The present invention provides a system that quickly and accurately connects new electronic devices to networks in homes and factories, and further recognizes the user's emotions to reduce stress. Specific methods for implementing the present invention are described below.

[1381] System Overview

[1382] This system consists of four main components: a server, a terminal, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Terminals are primarily smartphones or computers carried by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operating status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to a home or factory network.

[1383] 1. Device recognition:

[1384] When a user turns on a new electronic device to connect, the device attempts to connect to the network.

[1385] The server detects this new connection request and recognizes the target device.

[1386] 2. Device Information Collection:

[1387] The server communicates with the new device briefly to collect basic information such as its MAC address, IP address, and manufacturer name.

[1388] The collected basic information is compared against a database on the server to identify the appropriate configuration profile.

[1389] 3. Apply the configuration profile:

[1390] The server automatically applies network and security settings to new devices using the appropriate configuration profile.

[1391] After the settings are applied, the server performs a communication test on the device to ensure it can communicate successfully with the network.

[1392] 4. Emotion Engine Monitoring:

[1393] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state.

[1394] Based on the analysis results, if the user is feeling stressed, appropriate support information and guidance will be provided.

[1395] 5. Notification content optimization:

[1396] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[1397] By providing notifications in a way that takes into consideration the user's emotional state, it reduces stress for the user and provides a comfortable operating experience.

[1398] 6. Update your system:

[1399] The server optimizes and updates the system based on the collected information and feedback.

[1400] We will use the data collected by the emotion engine to improve the system in the future.

[1401] Hardware and software used

[1402] Hardware: Robots in the factory, smart glasses for operators, servers.

[1403] Software: Python, EmotionEngine library.

[1404] Specific examples

[1405] For example, when introducing a new robot, "Factory Robot X," to a factory, an operator puts on the smart glasses and sets up the new robot. When the robot attempts to connect to the network, the server automatically recognizes it and completes all the configuration. After the configuration is complete, if the emotion engine detects stress in the operator, it can provide detailed operating instructions.

[1406] Prompt Sentence Examples

[1407] I'm trying to connect "Factory Robot X" to the factory. Can you provide some guidance to help the operator who is feeling stressed?

[1408] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1409] Step 1:

[1410] Device Recognition:

[1411] When a user turns on a new electronic device, such as a robot, the device attempts to connect to the network. The server monitors these new connection requests and detects that the device has been connected to the network. The input is the device connection signal, and the output is device recognition.

[1412] Specific behavior:

[1413] The server monitors network traffic and detects new device connection requests by receiving signals from devices trying to connect to a home or factory Wi-Fi network, and the server analyzes the signals to recognize the device's presence.

[1414] Step 2:

[1415] Device Information Collection:

[1416] The server performs simple communication with the recognized device and collects basic information such as MAC address, IP address, manufacturer name, etc. The input is a request for basic information about the device, and the output is the collected basic information.

[1417] Specific behavior:

[1418] The server establishes communication with the device and obtains basic information from the device, such as MAC address, IP address, and manufacturer name, which allows the server to identify and identify the target device.

[1419] Step 3:

[1420] Select a configuration profile:

[1421] The server searches for and selects an appropriate configuration profile from the database based on the collected basic information. The input is the device's basic information, and the output is the selected configuration profile.

[1422] Specific behavior:

[1423] The server checks the collected device information against a database to find a matching configuration profile, for example, "Factory Robot X," and selects that particular profile.

[1424] Step 4:

[1425] Applying a configuration profile:

[1426] The server applies the selected configuration profile to the device: the input is the configuration profile and the output is the device with the profile applied.

[1427] Specific behavior:

[1428] The server sends the selected configuration profile to the device, and automatically applies settings such as network ID, encryption key, and IP address to the device, allowing the device to connect to the network correctly.

[1429] Step 5:

[1430] Conduct a communication test:

[1431] The server performs a communication test on the device to confirm that the settings have been applied correctly. The input is the applied device settings, and the output is the communication test result.

[1432] Specific behavior:

[1433] The server sends and receives data to and from the device to check whether communication is normal, in order to ensure the stability of the network connection and the accuracy of security settings.

[1434] Step 6:

[1435] Emotion Engine Monitoring:

[1436] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state. The input is the user's facial expressions and voice data, and the output is the emotion analysis results.

[1437] Specific behavior:

[1438] The emotion engine analyzes real-time data provided by the user through smart glasses or a camera to determine whether the user is feeling stressed.

[1439] Step 7:

[1440] User Notification Applies:

[1441] The server adjusts the content and timing of notifications based on the analysis results of the emotion engine according to the user's emotions. The input is the emotion analysis results, and the output is the adjusted notification content.

[1442] Specific behavior:

[1443] The server sends notifications when the user is relaxed and provides detailed guidance and support information when the user is stressed, thereby reducing the user's stress and providing a more comfortable operating experience.

[1444] Step 8:

[1445] Performing a system update:

[1446] The server optimizes and updates the system based on the collected information and feedback. The input is the feedback information, and the output is the optimized system.

[1447] Specific behavior:

[1448] The server analyzes user actions and emotional data to improve future connection settings and update system profiles, keeping the system always up to date.

[1449] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1450] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1451] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1452] [Fourth embodiment]

[1453] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1454] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1455] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1456] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1457] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1458] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1459] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1460] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1461] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1462] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1463] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1464] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1465] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1466] The present invention provides a system for automating the setup process when connecting a new electronic device to a home network, enabling stable and secure device connection while minimizing the user's effort. Specific embodiments of the present invention are described below.

[1467] System Overview

[1468] The system consists of three main elements: a server, a device, and a user. The server exists on the network and acts as a central point for automating the connection and configuration of electronic devices. The device is typically a user's smartphone or computer, and is used for configuration and receiving notifications. The user is an individual who wants to connect a new electronic device to their home network.

[1469] Program processing explanation

[1470] 1. Device Recognition

[1471] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[1472] The server monitors network traffic and detects when a new connection request occurs.

[1473] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[1474] 2. Device information collection

[1475] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[1476] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[1477] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[1478] 3. Applying a configuration profile

[1479] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[1480] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[1481] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[1482] 4. Connection test and confirmation

[1483] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[1484] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[1485] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[1486] 5. Learning and Optimization

[1487] The server continuously collects device usage and user feedback to optimize the system.

[1488] Update your configuration profiles and AI algorithms as new devices and technologies come to market.

[1489] Example: A server can automatically refine a configuration profile to prevent issues when connecting a smart TV in the future.

[1490] This system allows users to easily connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[1491] The processing flow will be explained below.

[1492] Step 1:

[1493] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[1494] Step 2:

[1495] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[1496] Step 3:

[1497] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[1498] Step 4:

[1499] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[1500] Step 5:

[1501] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[1502] Step 6:

[1503] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[1504] Step 7:

[1505] To confirm the settings after the server has applied them, the server performs a communication test with the device again. For example, it uses an HTTP request to check whether communication with the device is normal.

[1506] Step 8:

[1507] The server evaluates the results of the communication test to ensure that there are no abnormalities, for example, that the correct response is returned from the device.

[1508] Step 9:

[1509] The server notifies the user's device that the communication test has been successfully completed. For example, it sends a push notification to the smartphone saying, "Smart TV connection completed."

[1510] Step 10:

[1511] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also analyzes connection settings and behavior patterns to improve setting profiles and optimize the system.

[1512] Through these steps, the system of the present invention can quickly and safely connect a new electronic device to a home network, allowing users to smoothly connect devices without requiring specialized knowledge.

[1513] Example 1

[1514] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1515] In modern home networks, the setup procedure for connecting new electronic devices is complicated and burdensome for users. In particular, if the network and security settings are not configured properly, the connection may become unstable or a security risk may arise. Furthermore, since the setup depends on each user's knowledge and skills, it is not uncommon for incorrect settings to be made. There is a need for a method to automate the traditional manual setup procedure, reducing the burden on users while ensuring network stability and security.

[1516] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1517] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for conducting a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for monitoring network traffic to detect a new connection request, means for comparing the collected basic information with a database, means for confirming that the device is properly connected to the network if the communication test is successful, and means for collecting feedback from the user and optimizing the system. This enables a user to easily and safely connect a new electronic device to a home network without specialized knowledge.

[1518] The "means for detecting the connection of a new electronic device" has the function of identifying a device newly connected to a home network in real time.

[1519] The "means for collecting basic information" refers to a function that allows for obtaining data necessary for initial setup, such as MAC addresses, IP addresses, and manufacturer names, from detected electronic devices.

[1520] The "means for selecting an appropriate setting profile" has a function to automatically select a profile including the optimal network and security settings for the electronic device based on the collected basic information.

[1521] The "means for applying the setting profile to the electronic device" has a function for reflecting the selected setting profile in the new electronic device.

[1522] The "means for performing a communication test" has a function for performing a test to confirm whether the electronic device is normally connected to the network after the setting profile has been applied.

[1523] The "means for notifying the user of the results of the communication test" has a function for informing the user of information on whether the communication test was successful or not.

[1524] The "means for updating the system" has the function of optimizing the overall system performance and setting profile based on collected information and user feedback.

[1525] The "means for monitoring network traffic to detect new connection requests" has a function for monitoring connection requests on the network in real time and identifying connections of new devices.

[1526] The "means for checking basic information against a database" has a function for comparing the collected basic information of a new electronic device with a database prepared in advance and identifying a matching setting profile.

[1527] The "means for confirming that the electronic device is properly connected to the network" means a function for confirming that the electronic device is properly connected to the network if the communication test is successful.

[1528] "Means for collecting feedback from users and optimizing the system" refers to a function that analyzes opinions and usage data obtained from users and aims to improve and optimize the entire system.

[1529] This invention is a system that automates the setup process when connecting a new electronic device to a home network. This system consists of three main elements: the user, the server, and the terminal, and enables stable and secure device connection while minimizing user effort.

[1530] System configuration and operation overview

[1531] 1. Hardware and Software Use

[1532] server:

[1533] Hardware: Data center or cloud-based servers (e.g., AWS EC2, Microsoft Azure VM)

[1534] Software: Device management systems, network traffic monitoring tools (e.g., Wireshark), database management systems (e.g., MySQL, MongoDB)

[1535] Device:

[1536] Hardware: Smartphones (e.g. iPhone, Android), computers

[1537] Software: Dedicated application or web browser

[1538] User:

[1539] Hardware: New electronic devices (e.g., smart TVs)

[1540] Software: Initial setup software for the device

[1541] 2. Example and operation explanation

[1542] User Action:

[1543] Example: A user buys a new smart TV and wants to connect it to their home Wi-Fi network. When the user turns on the smart TV, the device attempts to connect to their home Wi-Fi network.

[1544] Server behavior:

[1545] The server monitors network traffic in real time to detect new connection requests, using tools such as network traffic monitoring tools like Wireshark.

[1546] The server sends an ARP request to the new device to obtain its MAC address and manufacturer name, and then uses that information to search its database for the appropriate configuration profile.

[1547] Once a configuration profile is identified, the server automatically applies network and security settings to the device using that profile, and then performs communication tests using ping commands and TCP connection tests.

[1548] After confirming that the communication test was successful, the server sends a notification of connection completion to the user's device via a dedicated application or email.

[1549] Additionally, the server collects usage and feedback and analyzes the data for system-wide optimization, ensuring the system is updated to ensure appropriate settings are applied even when new devices are added in the future.

[1550] 3. Examples of prompts

[1551] "Please provide a detailed description of the automatic setup process for connecting a new smart TV to a home network. Please also include details of what each step does, what specific behavior it performs, and what the user is notified about."

[1552] This system allows users to easily and safely connect new electronic devices to their home network without any specialized knowledge, and the server monitors and optimizes settings and connection status, improving network security and communication stability.

[1553] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1554] Step 1:

[1555] New Device Discovery

[1556] Input: A user turns on a new electronic device to connect it to the home network.

[1557] What it does: When a user turns on their smart TV, the device attempts to connect to their home Wi-Fi network.

[1558] Data processing: The server uses a network traffic monitoring tool (e.g., Wireshark) to monitor MAC addresses and IP addresses on the network in real time.

[1559] Output: The server detects a new connection request.

[1560] Step 2:

[1561] Collecting device information

[1562] Input: A new electronic device that the server detects is requesting a connection

[1563] Specific operation: The server obtains the MAC address and IP address of the new device by sending an ARP request.

[1564] Data processing: Based on the acquired MAC address and IP address, the OUI (Organizationally Unique Identifier) ​​database is referenced to confirm the manufacturer name.

[1565] Output: Collected basic information (MAC address, IP address, manufacturer name)

[1566] Step 3:

[1567] Selecting a configuration profile

[1568] Input: Collected basic information (MAC address, IP address, manufacturer name)

[1569] Specific operation: The server checks this information against a database to find the corresponding configuration profile.

[1570] Data calculation: Executes SQL queries based on basic information to extract appropriate configuration profiles.

[1571] Output: Identified configuration profile

[1572] Step 4:

[1573] Applying a Configuration Profile

[1574] Input: A specified configuration profile

[1575] What happens: The server sends a configuration command to apply the specified configuration profile to the new device, including settings like Wi-Fi SSID, encryption key, and IP address.

[1576] Data processing: Generates actual network configuration commands based on the configuration profile and delivers them to the device.

[1577] Output: The electronic device in its fully configured state

[1578] Step 5:

[1579] Checking the connection status

[1580] Input: Electronic device in a fully configured state

[1581] Specific operation: The server performs a communication test (e.g., Ping command, TCP connection test) to check whether the device is properly connected to the network.

[1582] Data Calculation: Analyze ping response time and TCP connection session status.

[1583] Output: Communication test result (success or failure)

[1584] Step 6:

[1585] User Notifications

[1586] Input: Communication test result

[1587] Specific operation: If the communication test is successful, the server will notify the user of the successful connection via a dedicated application or email.

[1588] Data calculation: Converts the results of the communication test into a notification message.

[1589] Output: Send a connection completion notification to the user's device

[1590] Step 7:

[1591] Learning and Optimization

[1592] Input: Collected device usage and user feedback

[1593] Specific operation: The server periodically collects communication logs from devices, analyzes network performance, and reflects user feedback in system improvements.

[1594] Data calculation: Based on the collected data, feedback is given to the generative AI model to optimize the setting profile and system.

[1595] Output: Improved settings profiles and optimized system

[1596] Through these processing steps, the system allows new electronic devices to be easily and securely connected to the home network, and the server monitors and optimizes the settings and connection status to improve network security and communication stability.

[1597] (Application example 1)

[1598] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1599] In today's home network environment, connecting new electronic devices requires complex configuration, which is a time-consuming and time-consuming process for many users. The configuration process is particularly challenging for first-time smart device users, creating a demand for automated, easy-to-understand connection guides. Furthermore, the lack of a visual interface that allows users to easily configure and check the status of network connections at a glance poses a challenge in providing a user-friendly experience.

[1600] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1601] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for updating the system based on the collected information and feedback, means for storing purchasing information in the real world in the cloud, means for providing a setting guide based on the stored related information, and means for visually displaying the connection status and progress via a head-mounted display, thereby enabling a user to easily connect a new electronic device to the home network and visually check the connection status in real time.

[1602] 1. "Electronic devices" refers to all devices intended to be connected to a network, including smartphones, computers, smart TVs, and smart home appliances.

[1603] 2. "Server" means a central device or program that provides services over a network and manages and monitors the connections and settings of electronic devices.

[1604] 3. "Means for detecting connection" means a mechanism that has the function of detecting when an electronic device is connected to a network.

[1605] 4. "Means for collecting basic information" refers to a mechanism for obtaining initial information such as the MAC address, IP address, and manufacturer name of electronic devices.

[1606] 5. "Configuration Profile" means a set of pre-prepared configuration information for automatically applying network connection settings and security settings to an electronic device.

[1607] 6. "Means for performing communication tests" refers to a mechanism for confirming that electronic devices are correctly connected to the network and that communication is normal.

[1608] 7. "Means of notifying the user" refers to a mechanism for notifying the user's device of the application status of settings and the results of communication tests.

[1609] 8. "Means for updating the system" refers to a mechanism for optimizing configuration profiles and AI algorithms based on collected information and user feedback.

[1610] 9. "Cloud storage" means storing purchasing information and connection settings on a remote server on a network, making them accessible as needed.

[1611] 10. "Means for providing configuration guidance" refers to a mechanism that provides step-by-step support for the configuration procedure when a user connects a new electronic device to a network.

[1612] 11. A "head-mounted display" is a device worn by a user on the head that displays a display in front of the user's line of sight, providing augmented reality or virtual reality.

[1613] 12. "Visual display means" refers to a mechanism for visually presenting the connection status and configuration progress to the user in an easy-to-understand manner.

[1614] This invention is a system that allows users to easily connect new electronic devices they have purchased to a home network, and is particularly characterized by the ability to visually check the connection status by using a head-mounted display.

[1615] The system consists of three main elements: a server, a terminal (especially a head-mounted display), and a user. The server provides services over the network and automates, manages, and monitors the connection and configuration of electronic devices. The terminal is primarily a head-mounted display, through which the user can receive configuration guidance and check the connection status. The user is an individual who wants to connect a new electronic device to their home network.

[1616] 1. Hardware and Software

[1617] Hardware used

[1618] Server: A high-performance computer or cloud server

[1619] Device: Head-mounted display (e.g., Oculus Quest)

[1620] Software used

[1621] Programming language: Python

[1622] Library: Requests

[1623] Server API: RESTful API

[1624] 2. Data processing and calculation

[1625] The server monitors home network traffic to detect new connection requests. At this time, it collects basic information about the newly added electronic device (MAC address, IP address, manufacturer name, etc.) and uses that information to search a database for an appropriate configuration profile. After applying the configuration profile, it performs a communication test and notifies the user of the results. The user can visually confirm this notification through a head-mounted display.

[1626] Specific examples

[1627] For example, consider the case where a user purchases a new smart refrigerator at a virtual store. When the user brings the refrigerator home and turns it on, a setup guide automatically starts on the head-mounted display. The user follows the guide to connect the refrigerator to the home Wi-Fi network. The server monitors the connection status and communication test results in real time, and once it confirms that communication is normal, it displays the results on the head-mounted display. This allows the user to visually check the connection status and use the new device with peace of mind.

[1628] Prompt Sentence Examples

[1629] By inputting the following prompt sentences into the generative AI model, it can generate sentences to guide users through the process of connecting a new electronic device purchased from a virtual store to their home network.

[1630] "Please explain the process by which a user can automatically connect a newly purchased device (e.g., a smart refrigerator) to their home network. Specifically, please detail how the head-mounted display guides the user through the setup and provides real-time connectivity status."

[1631] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1632] The processing flow and specific operations of the system program that realizes the application example

[1633] Step 1: Device Recognition

[1634] The server detects new connection requests within the network: when a user turns on a new electronic device and attempts to connect to the home Wi-Fi, the server receives a connection request from that device.

[1635] Input: Wi-Fi connection request from electronic device

[1636] Data processing: Monitoring network traffic and detecting connection requests

[1637] Output: New device connection request information

[1638] Step 2: Collect device information

[1639] The server performs simple communication with the new device to collect basic information (MAC address, IP address, manufacturer name), which is then stored in a database.

[1640] Input: New device connection request information

[1641] Data processing: initial communication with the device and acquisition of basic information

[1642] Output: Basic device information (MAC address, IP address, manufacturer name)

[1643] Step 3: Select a configuration profile

[1644] The server uses the collected basic information to search a database for and select the appropriate configuration profile, which includes network and security settings.

[1645] Input: Basic device information

[1646] Data processing: Matching basic information with database profiles

[1647] Output: The appropriate configuration profile

[1648] Step 4: Applying the configuration profile

[1649] The server automatically applies network settings to new devices using the selected configuration profile, then verifies that the electronic device is configured correctly.

[1650] Enter the appropriate configuration profile

[1651] Data manipulation: Applying configuration profiles to devices

[1652] Output: Status information of the settings applied

[1653] Step 5: Test and verify the connection

[1654] After applying the settings, the server performs a communication test to confirm that the device is properly connected to the network. If the result of the communication test is normal, the information is passed on to the next step.

[1655] Input: Status information of the settings applied

[1656] Data processing: Conducting communication tests and checking results

[1657] Output: Communication test results

[1658] Step 6: User Notification

[1659] The server notifies the user of the results of the communication test, and visually displays the connection status and configuration progress on a head-mounted display.

[1660] Input: Communication test result

[1661] Data processing: Creating notification messages for test results

[1662] Output: A notification message to the user's terminal

[1663] Step 7: Optimize your system

[1664] The server uses the collected information and user feedback to update its configuration profiles and AI algorithms, improving the stability and security of future connections.

[1665] Input: User feedback and usage data

[1666] Data processing: Analysis of feedback and usage data

[1667] Output: Updated configuration profile and system optimization information

[1668] Step 8: Cloud storage of purchasing information in the physical world

[1669] The server stores purchase information from the virtual store on the cloud and makes it possible to refer to the associated setting profile as appropriate.

[1670] Enter purchasing info record

[1671] Data processing: Cloud storage of purchasing information

[1672] Output: Purchasing information stored on the cloud

[1673] Step 9: Provide setup guidance

[1674] The server uses information stored in the cloud to provide a setup guide when the user connects a new device, with the head-mounted display providing step-by-step support.

[1675] Input: Purchasing information stored on the cloud

[1676] Data processing: Generating a configuration guide

[1677] Output: Setup guide displayed on the head-mounted display

[1678] Step 10: User Visual Confirmation

[1679] The user uses a head-mounted display to check the device connection status and configuration progress in real time.

[1680] Input: Notification message from the server

[1681] Data processing: Visual display of notification messages

[1682] Output: User visual confirmation and action

[1683] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1684] The present invention is a system that automates the setup process when connecting a new electronic device to a home network, and further combines it with an emotion engine that recognizes the user's emotions, thereby reducing user stress and providing a more comfortable user experience. Specific embodiments of the present invention are described below.

[1685] System Overview

[1686] This system consists of four main components: a server, a device, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Devices are primarily smartphones or computers owned by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operational status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to the home network.

[1687] Program processing explanation

[1688] 1. Device Recognition

[1689] When a user turns on a new electronic device to connect it to their home network, the device attempts to connect to the home Wi-Fi network.

[1690] The server monitors network traffic and detects when a new connection request occurs.

[1691] Example: A user buys a new smart TV and tries to connect it to their home Wi-Fi. When the smart TV is turned on, the server becomes aware of its presence.

[1692] 2. Device information collection

[1693] The server attempts simple communication with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[1694] The collected basic information is compared with a database on the server to identify the appropriate configuration profile.

[1695] Example: The server obtains the MAC address and manufacturer name of the smart TV, and uses that information to search for the corresponding configuration profile in the database.

[1696] 3. Applying a configuration profile

[1697] The server uses the specified configuration profile to automatically apply network and security settings to the new device.

[1698] Once the settings have been applied, the server performs a communication test on the device to confirm that the settings have been applied.

[1699] Example: The server automatically configures the Wi-Fi SSID, encryption key, IP address, etc. on the smart TV, and then performs a communication test.

[1700] 4. Connection test and confirmation

[1701] The server verifies that the settings have been applied correctly and that the device has successfully connected to the network.

[1702] If the test result is normal, the server sends a notification of connection completion to the user's terminal.

[1703] Example: The server verifies that communication with the smart TV is successful and notifies the user's smartphone of the result.

[1704] 5. Monitoring and analysis by emotion engine

[1705] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[1706] If the user is feeling stressed, the emotion engine will detect this and take appropriate action.

[1707] Example: If a user feels they have a connection problem, the emotion engine will analyze their stress level from their facial expressions and voice, and the server will provide detailed instructions on how to operate the device.

[1708] 6. Optimizing notification content

[1709] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[1710] This allows notifications to be sent at the timing most convenient for the user.

[1711] Example: The server sends a notification that the connection is complete when the user is relaxed.

[1712] 7. Learning and Optimization

[1713] The server optimizes and updates the system based on the user's emotional data.

[1714] The data collected by the emotion engine will be used to improve future connection settings.

[1715] Example: Review connection procedures and update system configuration profiles to minimize server stress for users.

[1716] In this way, the system of the present invention not only allows new electronic devices to be quickly and safely connected to a home network, but also takes user feelings into consideration to provide a more pleasant user experience.

[1717] The processing flow will be explained below.

[1718] Step 1:

[1719] A user powers on a new electronic device and connects it to their home network. For example, a user powers on a smart TV and selects their home Wi-Fi network from the Wi-Fi settings screen.

[1720] Step 2:

[1721] The server detects a new connection request on the network. For example, the server is monitoring network traffic and detects the MAC address of a new device.

[1722] Step 3:

[1723] The server will perform a PING test on the new device to ensure connectivity, thereby revealing the presence of the new device.

[1724] Step 4:

[1725] The server collects basic information about the new device, such as its MAC address, IP address, and manufacturer name, which it obtains from the electronic device itself.

[1726] Step 5:

[1727] The server compares the collected basic information with a database to identify the appropriate configuration profile, specifically searching for a configuration profile based on the MAC address and manufacturer.

[1728] Step 6:

[1729] The server applies the specified configuration profile to the device, for example, by configuring the Wi-Fi SSID and encryption key, and assigning an IP address.

[1730] Step 7:

[1731] After the server applies the configuration profile, it performs a communication test with the device again, using an HTTP request or similar to check whether communication with the device is normal.

[1732] Step 8:

[1733] The emotion engine monitors the user's operation status, facial expressions, voice, etc., and analyzes the user's emotions. For example, it uses a camera and microphone to understand the user's state of mind.

[1734] Step 9:

[1735] The server adjusts the notification content based on the communication test results and the user's emotional state. For example, if the user is feeling stressed, the server sends a notification with a simpler explanation.

[1736] Step 10:

[1737] The server notifies the user of the results of the communication test. For example, a push notification is sent to a smartphone stating, "Smart TV connection completed," so that the notification can be sent at a time when the user is relaxing.

[1738] Step 11:

[1739] The server continuously monitors the usage of new devices and immediately notifies the user if an abnormality occurs. It also optimizes the connection setting profile and system based on the data from the emotion engine.

[1740] Step 12:

[1741] The server uses the emotion engine to collect user feedback and improve the system. For example, if a user gives feedback such as "the settings are not working properly," the system is updated to reflect that feedback.

[1742] Through the above steps, the system of the present invention can quickly and safely connect new electronic devices to a home network, and also take into account the user's feelings to provide a more comfortable user experience.

[1743] Example 2

[1744] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1745] When connecting new electronic devices to a home network, users often face complex and cumbersome setup procedures that are time-consuming and laborious. Misconfigurations and connection failures can also occur, often causing frustration for users. Furthermore, conventional systems do not take into account the user's emotional state, which can be inconvenient, especially for users who are unfamiliar with technology. There is a need to provide a more comfortable and efficient electronic device connection experience by solving these issues.

[1746] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1747] In this invention, the server includes means for detecting the connection of a new electronic device, means for collecting basic information about the detected electronic device, means for selecting an appropriate setting profile based on the collected basic information, means for applying the selected setting profile to the electronic device, means for performing a communication test of the settings after application, means for notifying the user of the results of the communication test, means for monitoring and analyzing the user's emotions, means for optimizing the content and timing of notifications based on the emotion analysis, and means for updating the system based on the collected information and feedback. This reduces the operational burden on the user, reduces setting errors and connection failures, and makes it possible to provide a more comfortable connection experience through notifications and guidance that take the user's emotions into consideration.

[1748] "New electronic devices" refers to newly purchased or installed electronic devices that are added to a home network.

[1749] "Means for detecting connections" refers to technology or devices that automatically recognize connections when new electronic devices attempt to connect to a network.

[1750] "Basic information" refers to initial setting information collected about electronic devices, and specifically includes MAC addresses, IP addresses, manufacturer names, etc.

[1751] A "setting profile" refers to a data structure that stores a series of setting information for an electronic device to be properly connected to a network.

[1752] The "means for applying" refers to a method or technology for actually applying the specified setting profile to the electronic device.

[1753] "Communication test" refers to a connection confirmation test to check whether the electronic device is operating normally after the settings have been applied.

[1754] "Means for notifying" refers to a method or system for notifying the user of the results of the communication test or other important information.

[1755] "Means for monitoring and analyzing emotions" refers to technology and software that analyzes the user's operating status, facial expressions, voice, etc., and determines their emotional state.

[1756] "Means for optimizing notification content and timing" refers to a method or system for optimizing the content and timing of notifications sent to users based on the results of sentiment analysis.

[1757] "Means for updating the system based on collected information and feedback" refers to techniques for continuously optimizing and updating the system's configuration and operation using data and feedback obtained from users.

[1758] This invention is a system that automates the setup process when connecting new electronic devices to a home network and recognizes the user's emotions to provide a comfortable connection experience. This system consists of four main components: a server, a terminal, an emotion engine, and the user.

[1759] Server roles and functions:

[1760] The server is the core of the system, responsible for detecting the connection of new electronic devices and automating their configuration. Specifically, it performs the following tasks:

[1761] Use software that monitors network traffic to detect new electronic device connections, such as Wireshark.

[1762] It collects basic information (MAC address, IP address, manufacturer name, etc.) from any new electronic devices it detects, using an ARP request and reply mechanism.

[1763] Matching the collected information with a database (e.g., MySQL) to identify the appropriate configuration profile.

[1764] The identified configuration profile is used to automatically apply network and security settings to the electronic device.

[1765] To check whether the settings have been applied correctly, perform a communication test using Ping or an HTTP request.

[1766] The test results are notified to the user's terminal.

[1767] Device roles and functions:

[1768] The device is mainly a smartphone or computer that the user has, and is used to check settings and receive notifications. It receives notifications from the server and displays them to the user.

[1769] Roles and Functions of the Emotion Engine:

[1770] The emotion engine is software that monitors and analyzes the user's operation status, facial expressions, voice, etc. Specifically, it performs the following processes:

[1771] The emotion engine processes data from the camera and microphone in real time and analyzes the user's emotions, for example using OpenCV and voice analysis models.

[1772] If the user is feeling stressed, the state is detected and notified to the server.

[1773] The server uses this information to optimize the content and timing of notifications.

[1774] User role:

[1775] A user is an individual who purchases a new electronic device and connects it to a home network. The system automatically applies the appropriate configuration profile, allowing the user to avoid tedious setup procedures. The emotion engine also reduces stress, allowing the user to enjoy a comfortable connection experience.

[1776] Examples:

[1777] A user purchases a new smart TV and attempts to connect it to their home Wi-Fi. When the smart TV is turned on, the server recognizes its presence and collects basic information such as its MAC address and manufacturer's name. Using the collected information, the server searches for a corresponding configuration profile in its database and applies the required network settings to the smart TV. It then performs a communication test to confirm that the connection is successful. Meanwhile, the emotion engine analyzes the user's facial expressions and voice, and if the user is feeling stressed, it sends that information to the server. The server then uses this information to notify the user of appropriate guidance or support messages.

[1778] Example of a generative AI model and prompt:

[1779] An example of a generative AI model that can be used to generate explanatory text for this system is OpenAI GPT-4. An example of a prompt text is shown below:

[1780] Example prompt sentence:

[1781] Describe a system that automates the setup of new electronic devices when they are connected to a home network and reduces stress by recognizing the user's emotions. This system consists of four main components: a server, a device, an emotion engine, and the user. Please explain the system's detailed operating procedures and provide examples.

[1782] As a result, the system of the present invention can achieve fast and safe connection of new electronic devices, reducing stress for users and providing a comfortable connection experience.

[1783] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1784] Step 1:

[1785] A user turns on a new electronic device (e.g., a smart TV).

[1786] Specific behavior: The user wakes up the smart TV using the remote control or power button.

[1787] Input: The smart TV is started by the user.

[1788] Output: The smart TV sends a request to try to connect to the home Wi-Fi network.

[1789] Step 2:

[1790] The device (smart TV) attempts to connect to the home Wi-Fi network.

[1791] What it does: The TV will attempt to connect using pre-configured Wi-Fi information.

[1792] Input: Smart TV network connection request.

[1793] Output: Connection request data to Wi-Fi router.

[1794] Step 3:

[1795] The server monitors network traffic to detect new connection requests.

[1796] What happens: The server's network monitoring software (e.g., Wireshark) captures connection request packets.

[1797] Input: Network traffic data.

[1798] Output: New electronic device connection request detection information.

[1799] Step 4:

[1800] The server communicates briefly with the new device and collects basic information such as MAC address, IP address, and manufacturer name.

[1801] Specific operation: The server sends an ARP request and receives an ARP reply from the device.

[1802] Input: Sending an ARP request and receiving an ARP reply from the device.

[1803] Output: Basic device information (MAC address, IP address, manufacturer name).

[1804] Step 5:

[1805] The server compares the collected basic information with a database to identify the appropriate configuration profile.

[1806] Specific Action: Look up information using the server's database software (e.g., MySQL).

[1807] Input: Basic information collected.

[1808] Output: The corresponding configuration profile.

[1809] Step 6:

[1810] The server automatically applies network and security settings to new devices using a specified configuration profile.

[1811] What happens: The server automatically applies the specified settings to the device.

[1812] Input: Configuration profile contents and devices.

[1813] Output: The applied network and security settings.

[1814] Step 7:

[1815] After the server applies the settings, it performs a communication test on the device to confirm that the settings have been applied.

[1816] Specific operation: The server sends a Ping test or HTTP request and checks the response from the device.

[1817] Input: Request data for communication test.

[1818] Output: Communication test results.

[1819] Step 8:

[1820] The server notifies the user's terminal of the results of the communication test.

[1821] Specific operation: The server pushes notifications to smartphones and PCs.

[1822] Input: Communication test result data.

[1823] Output: Notification content sent to the user's device.

[1824] Step 9:

[1825] The emotion engine monitors the user's operating status, facial expressions, voice, etc., and analyzes the user's emotions.

[1826] How it works: The emotion engine processes data from the camera and microphone in real time, for example using OpenCV and speech analysis models.

[1827] Input: Video and audio data from camera and microphone.

[1828] Output: Parsed user emotional state data.

[1829] Step 10:

[1830] If the user is feeling stressed, the emotion engine detects this state and notifies the server.

[1831] Specific operation: If the emotion engine detects signs of stress, it sends the information to the server.

[1832] Input: User emotional state data.

[1833] Output: Notify the server of stress detection information.

[1834] Step 11:

[1835] The server optimizes the content and timing of notifications based on sentiment analysis.

[1836] Specific operation: The server reconfigures the content and timing of notifications depending on the user's emotional state.

[1837] Input: Sentiment analysis results.

[1838] Output: Optimized notification content and timing.

[1839] Step 12:

[1840] The server updates the system based on the information and feedback it collects.

[1841] Specific operation: The server uses machine learning models (e.g., TensorFlow) to analyze emotion data and improve system configuration and operation.

[1842] Input: Collected information and user feedback.

[1843] Output: Optimized and updated system settings.

[1844] (Application example 2)

[1845] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1846] In the past, the introduction of new robots and machinery in factories was complicated and required specialized knowledge, causing stress for operators during setup. Misconfigurations could also lead to malfunctions and incomplete network connections, reducing factory efficiency and safety. This has created a need for fast and accurate setup of new equipment.

[1847] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine, means for adjusting the content of notifications to the user based on the analysis results, and means for updating the system based on the collected information and feedback. This enables quick and accurate configuration of new robots and machines and reduces operator stress.

[1848] "New electronic devices" refers to electronic devices that are not yet connected to a home or factory network.

[1849] An "emotion engine" refers to technology or software that analyzes a user's operating status, facial expressions, voice, etc., and recognizes their emotional state.

[1850] A "configuration profile" refers to a set of network and security settings to be applied to a particular device.

[1851] "Communication test" refers to the process of testing communication between a device and a network to ensure that the configuration is correct.

[1852] "User" refers to the individual or operator who connects and configures a new electronic device to the network.

[1853] "Notification content" refers to information for informing the user of the results of the communication test, the progress of the settings, and the like.

[1854] "Analysis results" refers to data and information obtained as a result of the emotion engine analyzing the user's emotions.

[1855] "Feedback" refers to information that the system uses to improve the system based on evaluations and opinions received from users.

[1856] "Server" refers to a central computer system that manages and configures devices on a network.

[1857] The present invention provides a system that quickly and accurately connects new electronic devices to networks in homes and factories, and further recognizes the user's emotions to reduce stress. Specific methods for implementing the present invention are described below.

[1858] System Overview

[1859] This system consists of four main components: a server, a terminal, an emotion engine, and a user. The server exists on the network and plays a central role in automating the connection and configuration of electronic devices. Terminals are primarily smartphones or computers carried by users and are used for configuration and receiving notifications. The emotion engine has the ability to analyze emotions from the user's operating status, facial expressions, voice, etc., and the user is an individual who is attempting to connect a new electronic device to a home or factory network.

[1860] 1. Device recognition:

[1861] When a user turns on a new electronic device to connect, the device attempts to connect to the network.

[1862] The server detects this new connection request and recognizes the target device.

[1863] 2. Device Information Collection:

[1864] The server communicates with the new device briefly to collect basic information such as its MAC address, IP address, and manufacturer name.

[1865] The collected basic information is compared against a database on the server to identify the appropriate configuration profile.

[1866] 3. Apply the configuration profile:

[1867] The server automatically applies network and security settings to new devices using the appropriate configuration profile.

[1868] After the settings are applied, the server performs a communication test on the device to ensure it can communicate successfully with the network.

[1869] 4. Emotion Engine Monitoring:

[1870] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state.

[1871] Based on the analysis results, if the user is feeling stressed, appropriate support information and guidance will be provided.

[1872] 5. Notification content optimization:

[1873] Based on the analysis results of the emotion engine, the server adjusts the content and timing of notifications according to the user's emotions.

[1874] By providing notifications in a way that takes into consideration the user's emotional state, it reduces stress for the user and provides a comfortable operating experience.

[1875] 6. Update your system:

[1876] The server optimizes and updates the system based on the collected information and feedback.

[1877] We will use the data collected by the emotion engine to improve the system in the future.

[1878] Hardware and software used

[1879] Hardware: Robots in the factory, smart glasses for operators, servers.

[1880] Software: Python, EmotionEngine library.

[1881] Specific examples

[1882] For example, when introducing a new robot, "Factory Robot X," to a factory, an operator puts on the smart glasses and sets up the new robot. When the robot attempts to connect to the network, the server automatically recognizes it and completes all the configuration. After the configuration is complete, if the emotion engine detects stress in the operator, it can provide detailed operating instructions.

[1883] Prompt Sentence Examples

[1884] I'm trying to connect "Factory Robot X" to the factory. Can you provide some guidance to help the operator who is feeling stressed?

[1885] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1886] Step 1:

[1887] Device Recognition:

[1888] When a user turns on a new electronic device, such as a robot, the device attempts to connect to the network. The server monitors these new connection requests and detects that the device has been connected to the network. The input is the device connection signal, and the output is device recognition.

[1889] Specific behavior:

[1890] The server monitors network traffic and detects new device connection requests by receiving signals from devices trying to connect to a home or factory Wi-Fi network, and the server analyzes the signals to recognize the device's presence.

[1891] Step 2:

[1892] Device Information Collection:

[1893] The server performs simple communication with the recognized device and collects basic information such as MAC address, IP address, manufacturer name, etc. The input is a request for basic information about the device, and the output is the collected basic information.

[1894] Specific behavior:

[1895] The server establishes communication with the device and obtains basic information from the device, such as MAC address, IP address, and manufacturer name, which allows the server to identify and identify the target device.

[1896] Step 3:

[1897] Select a configuration profile:

[1898] The server searches for and selects an appropriate configuration profile from the database based on the collected basic information. The input is the device's basic information, and the output is the selected configuration profile.

[1899] Specific behavior:

[1900] The server checks the collected device information against a database to find a matching configuration profile, for example, "Factory Robot X," and selects that particular profile.

[1901] Step 4:

[1902] Applying a configuration profile:

[1903] The server applies the selected configuration profile to the device: the input is the configuration profile and the output is the device with the profile applied.

[1904] Specific behavior:

[1905] The server sends the selected configuration profile to the device, and automatically applies settings such as network ID, encryption key, and IP address to the device, allowing the device to connect to the network correctly.

[1906] Step 5:

[1907] Conduct a communication test:

[1908] The server performs a communication test on the device to confirm that the settings have been applied correctly. The input is the applied device settings, and the output is the communication test result.

[1909] Specific behavior:

[1910] The server sends and receives data to and from the device to check whether communication is normal, in order to ensure the stability of the network connection and the accuracy of security settings.

[1911] Step 6:

[1912] Emotion Engine Monitoring:

[1913] The emotion engine monitors the user's operation status, facial expressions, voice, etc. in real time and analyzes the user's emotional state. The input is the user's facial expressions and voice data, and the output is the emotion analysis results.

[1914] Specific behavior:

[1915] The emotion engine analyzes real-time data provided by the user through smart glasses or a camera to determine whether the user is feeling stressed.

[1916] Step 7:

[1917] User Notification Applies:

[1918] The server adjusts the content and timing of notifications based on the analysis results of the emotion engine according to the user's emotions. The input is the emotion analysis results, and the output is the adjusted notification content.

[1919] Specific behavior:

[1920] The server sends notifications when the user is relaxed and provides detailed guidance and support information when the user is stressed, thereby reducing the user's stress and providing a more comfortable operating experience.

[1921] Step 8:

[1922] Performing a system update:

[1923] The server optimizes and updates the system based on the collected information and feedback. The input is the feedback information, and the output is the optimized system.

[1924] Specific behavior:

[1925] The server analyzes user actions and emotional data to improve future connection settings and update system profiles, keeping the system always up to date.

[1926] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1927] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1928] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1929] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1930] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1931] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1932] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1933] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1934] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1935] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1936] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1937] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1938] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1939] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1940] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1941] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1942] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1943] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1944] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1945] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1946] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1947] The following is further disclosed regarding the above embodiment.

[1948] (Claim 1)

[1949] means for detecting the connection of a new electronic device;

[1950] a means for collecting basic information about the detected electronic device;

[1951] means for selecting an appropriate configuration profile based on the collected basic information;

[1952] means for applying the selected configuration profile to the electronic device;

[1953] A means for performing a communication test of the applied settings;

[1954] means for notifying the user of the results of the communication test;

[1955] a means of updating the system based on collected information and feedback;

[1956] A system including:

[1957] (Claim 2)

[1958] 10. The system of claim 1, further comprising: means for detecting when a new electronic device is connected to the network; and means for collecting basic information including a MAC address and an IP address of the electronic device.

[1959] (Claim 3)

[1960] 2. The system according to claim 1, further comprising means for performing a communication test after applying the setting profile, and notifying the user if an abnormality is detected as a result.

[1961] "Example 1"

[1962] (Claim 1)

[1963] means for detecting the connection of a new electronic device;

[1964] a means for collecting basic information about the detected electronic device;

[1965] means for selecting an appropriate configuration profile based on the collected basic information;

[1966] means for applying the selected configuration profile to the electronic device;

[1967] A means for performing a communication test of the applied settings;

[1968] a means for notifying the user of the results of the communication test;

[1969] a means of updating the system based on collected information and feedback;

[1970] a means for monitoring network traffic to detect new connection requests;

[1971] A means of matching the collected basic information with a database;

[1972] A means to confirm that the device is successfully connected to the network if the communication test is successful;

[1973] A means of collecting user feedback to optimize the system;

[1974] A system including:

[1975] (Claim 2)

[1976] 10. The system of claim 1, further comprising: means for detecting when a new electronic device is connected to the network; and means for collecting basic information including a MAC address and an IP address of the electronic device.

[1977] (Claim 3)

[1978] 2. The system according to claim 1, further comprising means for performing a communication test after applying the setting profile, and notifying the user if an abnormality is detected as a result.

[1979] "Application Example 1"

[1980] (Claim 1)

[1981] means for detecting the connection of a new electronic device;

[1982] a means for collecting basic information about the detected electronic device;

[1983] means for selecting an appropriate configuration profile based on the collected basic information;

[1984] means for applying the selected configuration profile to the electronic device;

[1985] A means for performing a communication test of the applied settings;

[1986] means for notifying the user of the results of the communication test;

[1987] a means of updating the system based on collected information and feedback;

[1988] A means for storing purchasing information in the real world in the cloud;

[1989] A means for providing configuration guidance based on stored relevant information;

[1990] a means for visually displaying the connection status and progress via a head-mounted display;

[1991] A system including:

[1992] (Claim 2)

[1993] 10. The system of claim 1, further comprising: means for detecting when a new electronic device is connected to the network; and means for collecting basic information including a MAC address and an IP address of the electronic device.

[1994] (Claim 3)

[1995] 2. The system according to claim 1, further comprising means for performing a communication test after applying the setting profile, and notifying the user if an abnormality is detected as a result.

[1996] "Example 2: Combining Emotion Engines"

[1997] (Claim 1)

[1998] means for detecting the connection of a new electronic device;

[1999] a means for collecting basic information about the detected electronic device;

[2000] means for selecting an appropriate configuration profile based on the collected basic information;

[2001] means for applying the selected configuration profile to the electronic device;

[2002] A means for performing a communication test of the applied settings;

[2003] means for notifying the user of the results of the communication test;

[2004] means for monitoring and analyzing user emotions;

[2005] A means to optimize notification content and timing based on sentiment analysis;

[2006] a means of updating the system based on collected information and feedback;

[2007] A system including:

[2008] (Claim 2)

[2009] 10. The system of claim 1, further comprising: means for detecting when a new electronic device is connected to the network; and means for collecting basic information including a MAC address and an IP address of the electronic device.

[2010] (Claim 3)

[2011] 2. The system according to claim 1, further comprising means for performing a communication test after applying the setting profile, and notifying the user if an abnormality is detected as a result.

[2012] "Application example 2 when combining emotion engines"

[2013] (Claim 1)

[2014] means for detecting the connection of a new electronic device;

[2015] a means for collecting basic information about the detected electronic device;

[2016] means for selecting an appropriate configuration profile based on the collected basic information;

[2017] means for applying the selected configuration profile to the electronic device;

[2018] A means for performing a communication test of the applied settings;

[2019] means for notifying the user of the results of the communication test;

[2020] means for analyzing a user's emotional state using an emotion engine;

[2021] A means for adjusting the content of notifications to the user based on the analysis results;

[2022] a means of updating the system based on collected information and feedback;

[2023] A system including:

[2024] (Claim 2)

[2025] 10. The system of claim 1, further comprising: means for detecting when a new electronic device is connected to the network; and means for collecting basic information including a MAC address and an IP address of the electronic device.

[2026] (Claim 3)

[2027] The system of claim 1, further comprising means for performing a communication test after applying the setting profile and notifying the user if an abnormality is detected, and means for adjusting the content of the notification based on the user's emotional state. [Explanation of symbols]

[2028] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for detecting the connection of a new electronic device; a means for collecting basic information about the detected electronic device; means for selecting an appropriate configuration profile based on the collected basic information; means for applying the selected configuration profile to the electronic device; A means for performing a communication test of the applied settings; means for notifying the user of the results of the communication test; a means of updating the system based on collected information and feedback; A system including:

2. 10. The system of claim 1, further comprising means for detecting when a new electronic device is connected to the network, and means for collecting basic information including a MAC address and an IP address of the electronic device.

3. 2. The system according to claim 1, further comprising means for performing a communication test after applying the setting profile, and notifying the user if an abnormality is detected as a result.

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