System

Abstract

A system is provided.SOLUTION: A system comprising: inputting means for inputting an image or a preference desired by a user; reading means for reading an available Chinese character list determined by a Ministry of Justice; analyzing means for analyzing the inputted information and generating name candidates from the available Chinese character list; evaluating means for evaluating the meaning of the Chinese characters and the derivation of the name; and proposing means for proposing the most suitable name to the user.SELECTED DRAWING: Figure 1

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] When deciding on a child's name, the current naming method relies primarily on kanji characters and the number of strokes, making it difficult to fully consider other factors (image, preferences, origin, etc.). This makes it difficult for parents to find a name that reflects all of their desires, which can lead to stress over naming. The present invention aims to propose name candidates from a multifaceted perspective, resolving the naming concerns parents have. [Means for solving the problem]

[0005] The present invention solves these problems with a system that includes an input means for inputting the user's desired image and preferences, a means for reading a list of available kanji characters established by the Ministry of Justice, a means for analyzing the input information and generating name candidates from the list of available kanji characters, a means for evaluating the strokes of the generated name candidates based on name fortune-telling, a means for evaluating the meaning of the kanji characters and the origin of the name, and a means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. Furthermore, by including a means for re-inputting the desired image and preferences and reconsidering the suggested names, and a means for retrieving the popularity of names from a database and evaluating the popularity of each name candidate, the system effectively suggests names that satisfy the user.

[0006] "User" refers to a person who uses the system to select a name.

[0007] "Desired image and preferences" refers to personal preferences and specific conditions regarding the name the user wants to give their child.

[0008] "Input means" refers to the mechanism by which the user inputs their desired image and preferences into the system. For example, this includes a keyboard or touch screen.

[0009] The "List of Usable Kanji Characters Set by the Ministry of Justice" is a list of kanji characters that can be used in children's names as officially approved by the Ministry of Justice.

[0010] "Means of loading" refers to the functions and procedures for importing the list of usable kanji characters set by the Ministry of Justice into the system.

[0011] The "means of analysis" is a process for analyzing the desired image and preferences entered by the user as data and generating appropriate candidate names.

[0012] "Suggested names" refers to names for children generated by the system based on user preferences and legal requirements.

[0013] "Strokes in fortune-telling" is a standard for determining the fortune and good or bad luck of a name based on the number of strokes in the kanji.

[0014] The "evaluation method" is the process by which the system evaluates name candidates using various criteria (e.g., number of strokes and meaning).

[0015] "The meaning of kanji" refers to the general and symbolic meaning of each kanji.

[0016] "Name origin" refers to information about the background and history of a particular name.

[0017] "Popularity" is an indicator of how commonly a particular name is used.

[0018] The "means of suggesting" is a mechanism for presenting the evaluated name candidates to the user, such as by displaying them on a display screen.

[0019] "Means for reconsideration" refers to the process by which, if a user is not satisfied with a name that has been suggested to them, they can input additional preferences or conditions to generate and suggest new name candidates. [Brief explanation of the drawings]

[0020] [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

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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."

[0041] This invention is a system that suggests appropriate names from multiple perspectives when deciding on a child's name, such as the user's desired image and preferences, legally usable kanji, character strokes in fortune-telling, the origin of the name, and popularity.

[0042] System configuration

[0043] Input Method

[0044] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[0045] Loading the Kanji List

[0046] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0047] Name candidate generation

[0048] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[0049] Evaluation of fortune-telling by name

[0050] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes in each kanji and assigns a score to determine whether the name is a good or bad luck. For example, in the case of "Hanako," the "hana" (flower) has seven strokes and the "ko" (child) has three strokes, so the name is evaluated as being a good luck overall.

[0051] Kanji meaning and name origin evaluation

[0052] The server refers to a database of kanji meanings to evaluate the meaning of each candidate name's kanji, and also refers to a database of name origins and popularity to evaluate the name's background and how popular it is.

[0053] Overall rating and name suggestions

[0054] The server calculates a comprehensive score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and its popularity. This allows the server to suggest the most suitable name to the user. The suggestions are displayed on the screen, and the user can check the results.

[0055] Reconsidering the name

[0056] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0057] Specific examples

[0058] For example, if the user types:

[0059] Desired image: Spring

[0060] Kanji I want to use: Flower

[0061] Favorite actor's name: Sakurada

[0062] Server Action:

[0063] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0064] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0065] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0066] 4. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0067] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[0068] The processing flow will be explained below.

[0069] Step 1:

[0070] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database. This list is updated periodically.

[0071] Step 2:

[0072] The terminal displays a form for the user to input the desired image and preferences, such as the kanji characters they want to use, the season, their favorite actors, etc.

[0073] Step 3:

[0074] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[0075] Step 4:

[0076] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[0077] Step 5:

[0078] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0079] Step 6:

[0080] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0081] Step 7:

[0082] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and popularity. Candidate names are listed in descending order of overall score, and the top names are recommended and suggested to the user.

[0083] Step 8:

[0084] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[0085] Step 9:

[0086] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[0087] Step 10:

[0088] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[0089] Through the above steps, the user can efficiently determine the optimal name that reflects the desired image and preferences.

[0090] Example 1

[0091] 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."

[0092] The present invention relates to a system that, when choosing a name for a child, suggests an appropriate name comprehensively from multiple perspectives, such as legally usable characters, strokes in surname analysis, the origin of the name, and popularity, while reflecting the user's desired image and characteristics. Conventional name selection methods have difficulty taking all of these factors into consideration, and users often select names subjectively. As a result, there is a risk of later dissatisfaction or choosing a name that is problematic in surname analysis.

[0093] 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.

[0094] In this invention, the server includes means for inputting the user's desired image and characteristics, means for reading a list of available characters determined by the legal department, means for analyzing the input information and generating name candidates from the list of available characters, means for evaluating the strokes of the generated name candidates based on fortune-telling, means for evaluating the meanings of the characters and the origins of the names, means for obtaining and evaluating the popularity of the generated name candidates from a database, and means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This allows the user to consider multiple factors simultaneously and efficiently select a more comprehensively appropriate name.

[0095] "User" refers to a person who utilizes the system to provide input and receive name selection suggestions.

[0096] "Desired image or characteristics" refers to specific factors or conditions that users want to consider when selecting a name, such as a specific character, a season, or the name of a favorite actor.

[0097] A "legal department list of acceptable characters" is a list of characters that can legally be used in names, established by an official body such as the legal department.

[0098] "Input means" refers to the device or interface through which a user inputs desired images or characteristics into the system, including keyboards, touchscreens, and voice input devices.

[0099] "Means of reading" refers to a function for obtaining a list of usable characters determined by the legal department from a database, etc.

[0100] "Means of analysis" refers to the functionality for analyzing the information entered by the user and generating appropriate name candidates, including natural language processing libraries and analysis algorithms.

[0101] "Means for generating name candidates" refers to functionality for creating name candidates from the list of available characters based on the parsed information.

[0102] "Means for evaluating strokes in name fortune-telling" refers to a function that calculates the number of strokes in each character of the generated name candidates and evaluates their good or bad luck based on name fortune-telling.

[0103] "Means for evaluating the meaning of characters and the origin of a name" refers to a function for evaluating the meaning of the characters in the generated name candidates and the origin of the name.

[0104] "Means for obtaining and evaluating popularity from a database" refers to a function for obtaining the frequency of use and general recognition of generated name candidates from a database and evaluating them based on that information.

[0105] "A means of comprehensively calculating and proposing the most suitable name" refers to a function that compiles the evaluation results of name fortune-telling, meaning, origin, popularity, etc., and presents the name that is deemed most suitable for the user.

[0106] "Means for reconsideration" refers to a function that allows a user to input new conditions and generate name candidates again if they are not satisfied with the proposed name.

[0107] This invention is a system that provides an interface for users to input their desired image and characteristics, and suggests the most suitable name based on a list of legally usable characters and other data. This system operates using user terminals, a server, and various databases.

[0108] Implementing input methods

[0109] Users access the system's web interface using a terminal, such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.).

[0110] Users send their desired image and characteristics (e.g., the characters they want to use, the season they want to play, the name of their favorite actor, etc.) to the server through an input form. Input methods include keyboards, touchscreens, and voice input devices (e.g., Apple's Siri, Google Assistant).

[0111] Loading the Kanji List

[0112] The server loads the "allowed character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). This list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0113] To retrieve the list, use an SQL query (e.g. SELECT FROM kanji_list WHERE usage='allowed').

[0114] Name candidate generation

[0115] The server analyzes the preferences and characteristics entered by the user using a natural language processing library (e.g., Python's NLTK).

[0116] Based on the user's desired characters and image, the system generates name candidates from a list of available characters. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0117] The specific process involves using a Python script to parse user input and implement an algorithm that combines characters that match certain conditions to generate a name.

[0118] Evaluation of fortune-telling by name

[0119] The server calculates the stroke length of the generated name candidates and evaluates the fortune of each name using Python's Pandas library.

[0120] For example, in the name "Hanako," the "hana" (flower) has 7 strokes and the "ko" (child) has 3 strokes, so a total of 10 strokes is considered auspicious.

[0121] Character meaning and name origin evaluation

[0122] The server evaluates the meaning of the characters in each candidate name by consulting a character semantics database (e.g., MongoDB).

[0123] The system also refers to a database of names' origins and popularity to evaluate the background of the name and how popular it is. For example, in the case of "Hanako," it is confirmed that the name means "beautiful flower" and is highly popular.

[0124] Overall evaluation and proposals

[0125] The server calculates a comprehensive score by integrating the evaluation of the name, the meaning of the characters, the origin of the name, and the popularity of the name, and then suggests the most suitable name to the user based on this score.

[0126] Suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask). For example, the name "Hanako" with the highest overall score is presented to the user.

[0127] Review function

[0128] If the user is not satisfied with the suggested name, they can reconsider by inputting the desired image and characteristics.

[0129] The user can input new criteria and generate and suggest name candidates again.

[0130] Specific prompt examples

[0131] The generative AI model is fed a text prompt like this:

[0132] I want to use the image of "spring" and the character for "flower." My favorite actor is "Sakurada." Generate name candidates based on these, and rate each name's stroke rating, meaning, and popularity as a name.

[0133] The above is an embodiment of the present invention. This system takes into consideration the user's diverse desires and is able to propose the most suitable name overall.

[0134] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0135] Step 1:

[0136] Users access the system's web interface using a device such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.). The user sends the desired image and characteristics (e.g., the desired character "flower," the desired season "spring," the name of a favorite actor "Sakurada," etc.) to the server through an input form.

[0137] Input data: The desired image and characteristics entered by the user.

[0138] Output Data: User input information that is sent to the server.

[0139] Step 2:

[0140] The server loads the "allowable character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). The list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0141] Input data: Acceptable character list as determined by the legal department.

[0142] Output: A list of available characters retrieved from the database.

[0143] Step 3:

[0144] The server analyzes the preferences and characteristics entered by the user, specifically using a natural language processing library (e.g., Python's NLTK) to parse the user's input and extract information to generate appropriate name candidates.

[0145] Input data: The desired image and characteristics entered by the user.

[0146] Output data: Analyzed desired and characteristic information.

[0147] Step 4:

[0148] The server generates name candidates from a list of available characters based on the analyzed preferences and characteristics. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0149] Input data: Parsed desired and characteristic information, available character list.

[0150] Output: A list of name candidates.

[0151] Step 5:

[0152] The server evaluates the number of strokes in the characters of the generated name candidates. It calculates the number of strokes for each character and calculates the total number of strokes. The evaluation uses Python's Pandas library and other tools.

[0153] Input data: A list of name candidates.

[0154] Output data: Stroke evaluation results for each name candidate.

[0155] Step 6:

[0156] The server evaluates the meaning of each character in each candidate name by referencing a character semantic database (e.g., MongoDB), and also by referencing a database of name origins and popularity to evaluate the name's background and popularity.

[0157] Input data: A list of name candidates.

[0158] Output data: Meaning and origin of each name candidate, and popularity rating results.

[0159] Step 7:

[0160] The server integrates the evaluations of the name, character meaning, name origin, and popularity to calculate an overall score. Based on this score, it suggests the most suitable name to the user. The suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask).

[0161] Input data: Evaluation results of strokes, meaning, origin, and popularity of each name candidate.

[0162] Output: Overall score and best name candidate suggestions.

[0163] Step 8:

[0164] If the user is not satisfied with the proposed name, they can reconsider it by entering the desired image and characteristics. The user can enter new conditions and generate and suggest name candidates again.

[0165] Input Data: The desired image and characteristics are again input by the user.

[0166] Output: A regenerated list of name candidates and suggestions.

[0167] (Application example 1)

[0168] 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."

[0169] Conventional naming systems generate names based on the user's desired attributes and conditions, proposing name candidates from a limited perspective, making it difficult to meet diverse user needs. Furthermore, the evaluation of generated names is one-sided, requiring a more multifaceted evaluation. Therefore, there is a need for a system that improves the efficiency and appropriateness of the trademark and brand name determination process.

[0170] 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.

[0171] In this invention, the server includes an input means for inputting the attributes and conditions desired by the user, a means for reading a list of legally usable characters, a means for analyzing the input information and generating name candidates from the usable character list, a means for evaluating the fortune-telling strokes of the generated name candidates, a means for evaluating the meaning of the characters and the origin of the name, and a means for generating product or brand name candidates, calculating the overall evaluation of each evaluation, and suggesting the most suitable name to the user. This makes it possible to meet the diverse needs of users and improve the efficiency and appropriateness of the name decision-making process.

[0172] 1. "User desired attributes and conditions" refers to the specific keywords and images that users enter when deciding on a product or brand name.

[0173] 2. "Legal Character List" means a list of characters and kanji permitted for use by law or regulation.

[0174] 3. "Input means" refers to the interface used by the user to input desired attributes and conditions into the system, including keyboards, touchscreens, and voice input.

[0175] 4. "Means for generating name candidates" refers to a function that allows the system to generate appropriate name candidates from a list of available characters based on the input information.

[0176] 5. "Means for evaluating strokes in fortune evaluation" is a function that evaluates the fortune of generated name candidates based on the number of strokes in the characters and specific evaluation criteria.

[0177] 6. "Means for evaluating the meaning of characters and the origin of the name" refers to a function that analyzes and evaluates the meaning of each character in the generated name and the origin of the name.

[0178] 7. "Means for generating product or brand name candidates" refers to a function for generating appropriate product or brand name candidates based on attributes and conditions entered by the user.

[0179] 8. "Means for comprehensive calculation and suggestion" is a function that integrates the above evaluation results and presents the most suitable name to the user.

[0180] This invention is a system that generates product and brand name candidates based on attributes and conditions specified by a user, evaluates them from multiple perspectives, and proposes the most suitable name. Specific embodiments of this system are described below.

[0181] System configuration

[0182] This system is implemented using the following hardware and software:

[0183] 1. On the user's device:

[0184] A device that allows users to input attributes and conditions. Examples include smartphones, tablets, and PCs.

[0185] The user uses the terminal to input the necessary information using a keyboard, touch screen, voice input, or the like.

[0186] 2. Server:

[0187] This is the central component of the system and performs the following processes:

[0188] A database management system (DBMS) is used to manage databases of legally permitted characters, trademark information, and semantic information.

[0189] Using a generative AI model, name candidates are generated from input data and evaluated.

[0190] Processing flow

[0191] Input Method

[0192] Users access the system using a terminal and input desired attributes and conditions, such as the image of the product or brand name, the target market, the keywords they want to use, and the desired name style (modern, classic, etc.).

[0193] Loading the list of legally allowed characters

[0194] The server initializes the available character information by reading the latest legally available character list from a database, which is updated periodically.

[0195] Name candidate generation

[0196] The server analyzes the input preferences and conditions and uses a generative AI model to generate name candidates from a list of available characters. For example, if you input keywords such as "eco" or "green," it will generate names that include those keywords.

[0197] Fortune evaluation stroke evaluation

[0198] The number of strokes in each character is calculated for the generated name candidates to evaluate their fortune and give them a score based on the results.

[0199] Evaluation of the meaning of characters and the origin of names

[0200] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[0201] Overall rating and name suggestions

[0202] The server then calculates an overall score by integrating the evaluation results and suggests the most suitable name to the user, who can then check the results on their device screen.

[0203] Reconsidering the name

[0204] If the user is not satisfied with the proposed name, they can regenerate the name by entering the desired attributes and conditions again. This allows the user to generate and receive name candidates as many times as they like.

[0205] Specific examples

[0206] For example, if the user types:

[0207] Desired attribute: Environmentally friendly products

[0208] Keywords to use: Eco, Green

[0209] Server Action:

[0210] 1. Generate name candidates containing "eco" or "green" from the database. For example, "eco green" and "green eco" will be listed.

[0211] 2. The fortune of each candidate name is evaluated, and for example, the stroke evaluation of "Eco Green" is considered to be auspicious.

[0212] 3. The meaning and origin of the name are also evaluated. For example, it is confirmed that "Eco Green" means "environmentally friendly products" and is also widely used.

[0213] 4. Based on the overall score, "Eco Green" is suggested to the user as the most suitable name.

[0214] Example prompt sentence:

[0215] "This product is targeted at users looking for environmentally friendly products. Please suggest some suitable trademarkable product names that include the keywords eco and sustainable."

[0216] This allows the user to smoothly select the most suitable product name or brand name.

[0217] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0218] Step 1: Receive user input

[0219] The user accesses the system using a device (smartphone, tablet, PC) and inputs attributes and conditions such as the image of the product or brand name, the target market, the keywords they want to use, the taste of the desired name, etc. This information is received by the system's input means and used in the next step.

[0220] Input: The attributes or criteria entered by the user (e.g., "eco," "green," "modern," etc.).

[0221] Output: A list of the input attributes and conditions.

[0222] Step 2: Loading the list of legally allowed characters

[0223] The server reads the latest list of legally allowed characters from a database that is updated periodically so the server always has the most up-to-date information.

[0224] Input: A request to access the database.

[0225] Output: A list of legally usable characters.

[0226] Step 3: Generate name candidates

[0227] The server uses a generative AI model to analyze the user's input data and generate name candidates from a list of available characters. For example, based on the input keywords "eco" and "green," the system generates candidates such as "eco green" and "green eco."

[0228] Input: The entered attributes, conditions, and legally acceptable character list.

[0229] Output: A list of generated name candidates.

[0230] Step 4: Evaluate the strokes of your fortune-telling

[0231] The server calculates the strokes of each character in the generated name candidate to evaluate its fortune, and evaluates its luck based on the number of strokes of each character. The evaluation results are saved as a score.

[0232] Input: A list of generated name candidates.

[0233] Output: Fortune assessment scores for each candidate.

[0234] Step 5: Evaluate the meaning of the characters and the origin of the name

[0235] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[0236] Input: Generated name candidate list, semantic database, origin database.

[0237] Output: Semantic and origin evaluation scores for each candidate.

[0238] Step 6: Overall rating and name suggestions

[0239] The server calculates an overall score by combining the fortune evaluation score, meaning score, and origin score for each candidate name, and suggests the most suitable name to the user. The suggestions are displayed on the device screen.

[0240] Input: fortune assessment score, meaning score, origin score.

[0241] Output: The best name and its overall score.

[0242] Step 7: Reconsider the name

[0243] If the user is not satisfied with the proposed name, they can re-enter the desired attributes and conditions and the system will regenerate the name. This step repeats steps 1 to 6.

[0244] Input: Attributes and conditions for re-entry by the user.

[0245] Output: A list of newly generated name candidates and their evaluation scores.

[0246] This allows the user to generate and receive suggestions for name candidates any number of times, and to obtain satisfactory results.

[0247] 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.

[0248] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable kanji, the strokes of the characters in fortune-telling, the origin of the name, its popularity, and even the user's emotional state.

[0249] System configuration

[0250] Input Method

[0251] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[0252] Loading the Kanji List

[0253] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0254] Name candidate generation

[0255] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[0256] Evaluation of fortune-telling by name

[0257] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0258] Kanji meaning and name origin evaluation

[0259] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0260] Introducing the Emotion Engine

[0261] emotion recognition

[0262] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[0263] Adjusting name suggestions

[0264] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar kanji and meanings will be prioritized.

[0265] Overall rating and name suggestions

[0266] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[0267] Reconsidering the name

[0268] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0269] Specific examples

[0270] For example, if the user types:

[0271] Desired image: Spring

[0272] Kanji I want to use: Flower

[0273] Favorite actor's name: Sakurada

[0274] Server Action:

[0275] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0276] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0277] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0278] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0279] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0280] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[0281] The processing flow will be explained below.

[0282] Step 1:

[0283] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0284] Step 2:

[0285] The terminal displays a form for the user to input their desired image and preferences, such as the kanji they want to use, the season, their favorite celebrity, and other information.

[0286] Step 3:

[0287] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[0288] Step 4:

[0289] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[0290] Step 5:

[0291] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0292] Step 6:

[0293] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0294] Step 7:

[0295] The device uses an emotion engine to recognize emotions from the user's facial expressions and voice. It senses the user's facial expressions and reactions when looking at a name candidate and determines whether they like it or not. For example, if the user smiles when they see "Hanako," it will be recognized as a positive reaction.

[0296] Step 8:

[0297] The server prioritizes name suggestions based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," it will prioritize suggestions of names with similar kanji and meanings, such as "Haruka" and "Sakuraka."

[0298] Step 9:

[0299] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, its popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended to the user.

[0300] Step 10:

[0301] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[0302] Step 11:

[0303] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[0304] Step 12:

[0305] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[0306] Through the above steps, the user can efficiently determine the most suitable name that reflects the desired image, preferences, and even emotional state.

[0307] Example 2

[0308] 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."

[0309] When deciding on a name for a child, there is a need to suggest an appropriate name that reflects the user's desired image and preferences, while taking into consideration a variety of factors, including legally usable characters, the characteristics of fortune-telling based on names, the origin and popularity of the name, and even the user's emotional state. However, with conventional technology, it has been difficult to comprehensively evaluate all of these factors and suggest the optimal name.

[0310] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for inputting the user's desired image and preferences, a means for reading a list of available characters, a means for analyzing the input information and generating name candidates from the list of available characters, a means for evaluating the symbol characteristics of the generated name candidates, a means for evaluating the meaning of characters and the origin of the name, a means for recognizing the user's emotions, a means for adjusting the name candidates based on the emotion recognition results, and a means for comprehensively calculating each evaluation and the emotion recognition results and suggesting the most suitable name to the user. This makes it possible to provide optimal name candidates that reflect the user's wishes and emotions.

[0311] A "user" is an individual who uses the system to input their desired image and preferences and receive suitable name suggestions.

[0312] "Input means" refers to a means by which a user inputs information into the system, and includes a keyboard, a touch screen, voice input, etc.

[0313] "Allowable Character List" is a list of legally usable characters that is used within the system when generating name candidates.

[0314] "Means for reading" refers to the means by which the system imports data from the outside, and refers to the function of obtaining a list of available characters from a database.

[0315] The "means for generating" is a function for generating name candidates from a list of available characters based on the input information.

[0316] "Symbol characteristics" refers to the components, such as lines and dots, of each character in a name, and includes, for example, an assessment of the number of strokes.

[0317] "Means for evaluating" refers to a method or device for determining the appropriateness of generated name candidates.

[0318] The "meaning of the letters" refers to the inherent significance of each letter used in a name.

[0319] "Name origin" is information about how a name began to be used historically and what its origins are.

[0320] "Means for recognizing emotions" refers to means for analyzing and determining the emotional state of a user from their facial expressions and voice.

[0321] The "adjustment means" is a function for changing the priority of name candidates based on the results of emotion recognition and suggesting appropriate names to the user.

[0322] "Comprehensive calculation" means combining the results of multiple evaluations to calculate a final score.

[0323] The "means for suggesting" is a function for displaying the most suitable name based on the calculation results to the user and prompting them to select it.

[0324] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable characters, the characteristics of fortune-telling based on names, the origin of the name, its popularity, and even the user's emotional state.

[0325] System configuration

[0326] Input Method

[0327] Users access the system using a terminal and input their desired image and preferences (for example, the characters they want to use, the season, their favorite actors, etc.) Input methods include keyboards, touchscreens, and voice input.

[0328] Loading a character list

[0329] The server reads the list of legally allowed characters from a database and initializes the characters allowed in the system. This list is updated periodically.

[0330] Name candidate generation

[0331] The server analyzes the input preferences and generates name candidates from a list of available characters. For example, if the user requests the characters "spring" and "flower," it will list names containing those characters (e.g., Hanako, Haruka, etc.).

[0332] Evaluation of fortune-telling by name

[0333] The server evaluates the name candidates it generates for fortune-telling. It calculates the number of strokes for each character and assigns a score based on that number to determine whether the name is good or bad. For example, in the case of "Hanako," the character "hana" has seven strokes and the character "ko" has three strokes, so the overall evaluation is "good."

[0334] Character meaning and name origin evaluation

[0335] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0336] Introducing the Emotion Engine

[0337] emotion recognition

[0338] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[0339] Adjusting name suggestions

[0340] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar characters and meanings will be prioritized.

[0341] Overall rating and name suggestions

[0342] The server calculates an overall score based on the evaluation of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[0343] Reconsidering the name

[0344] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0345] Specific examples

[0346] For example, if the user types:

[0347] Desired image: Spring

[0348] Characters to use: Flower

[0349] Favorite actor's name: Sakurada

[0350] Server Action:

[0351] 1. Generate name candidates containing "flower" and "sakura" from a list of legally allowed characters. For example, "Hanako" and "Haruzakura" are listed.

[0352] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the characteristics of "Hanako" are considered to be auspicious.

[0353] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0354] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0355] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0356] 6. The user can review the suggested names and, if necessary, enter the desired criteria again to continue generating new candidates.

[0357] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0358] Step 1:

[0359] Users access the system using a terminal and input their desired image and preferences. Input methods include keyboard, touch screen, and voice input. For example, if a user inputs "spring," "flowers," or "cherry blossom fields," that data is sent from the terminal to the server. Input: The user's desired image and preferences. Output: The desired data sent to the server.

[0360] Step 2:

[0361] The server reads the list of legally usable characters from the database and initializes the characters that can be used in the system. This list is updated periodically. Specifically, the server retrieves the latest character list from the database and stores it in memory. Input: Character list from the database. Output: Character data stored in the server's memory.

[0362] Step 3:

[0363] The server analyzes the user's desired data and compares it with the list of available characters. For example, if the desired characters are "spring" and "flower," it generates name candidates that include those characters (e.g., Hanako, Haruka, etc.). The generated candidates are saved in a temporary list. Input: The user's desired data and the list of available characters. Output: A list of name candidates.

[0364] Step 4:

[0365] The server evaluates the name fortune-telling characteristics of the generated name candidates. Specifically, it calculates the number of strokes in each character of the name and assigns a score to judge whether it is good or bad luck based on that number of strokes. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, and these scores are combined and evaluated. Input: List of name candidates. Output: Name fortune-telling score.

[0366] Step 5:

[0367] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. Specifically, it determines that "Hanako" is a name that has been used for a long time and is highly popular. Input: List of name candidates. Output: Evaluation data for name meanings, origins, and popularity.

[0368] Step 6:

[0369] The emotion recognition engine installed on the device recognizes emotions from the user's facial expressions and voice. The camera and microphone capture the user's reactions when looking at or speaking the name candidates, and this data is sent to the server. Specific actions include detecting the user's reaction when they see "Hanako" and smile. Input: User's facial expressions and voice data. Output: Emotion recognition results.

[0370] Step 7:

[0371] The server analyzes data from the emotion engine and prioritizes name candidates to which the user has a positive reaction. For example, if the user smiles at "Hanako," names with similar characters and meanings will be prioritized and listed. Input: Emotion recognition results and a list of name candidates. Output: A refined list of name candidates.

[0372] Step 8:

[0373] The server calculates an overall score based on the evaluation results of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Name candidates are listed in descending order of overall score and presented to the user. Specifically, all evaluation results are integrated to calculate a score, and the most suitable names are displayed as special recommendations. Input: All evaluation results. Output: Overall score and list of name candidates.

[0374] Step 9:

[0375] The user checks the name candidates presented, and if they are not satisfied, they can re-enter their desired image and preferences and reconsider. At this time, the user inputs new conditions, and the server processes again. Specifically, the user inputs new preferences such as "Summer," "Umi," or "Sakata," and new name candidates are generated. Input: Data re-entered by the user. Output: New list of name candidates.

[0376] (Application example 2)

[0377] 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."

[0378] While conventional child naming systems take into account the user's preferences and preferences, they are unable to reflect emotional feedback in real time. This makes it difficult to accurately suggest names that the user actually prefers. Furthermore, while there is a demand for services provided in brick-and-mortar stores that reflect real-time feedback, there is currently no way to achieve this.

[0379] The identification process by the identification 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 an input means for inputting the user's desired image and preferences, a means for reading a list of available kanji characters defined by the Ministry of Justice, a means for analyzing the input information and generating name candidates from the list of available kanji characters, a means for evaluating the strokes of the generated name candidates based on name fortune-telling, a means for evaluating the meaning of the kanji characters and the origin of the name, a means for recognizing emotions from the user's facial expressions and voice, a means for preferentially suggesting name candidates preferred by the user based on the results of emotion recognition, and a means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This enables more accurate name suggestions that reflect the user's real-time emotional feedback.

[0380] "Input means for inputting the user's desired image and preferences" refers to a device or interface for inputting the user's desired image, kanji characters, and other preferences into the system. This includes keyboards, touch screens, voice input, etc.

[0381] "Means for reading the list of usable kanji characters established by the Ministry of Justice" refers to a system component for obtaining and reading the list of usable kanji characters established by the Ministry of Justice. This includes kanji lists stored on a server or in a database.

[0382] "Means for analyzing input information and generating name candidates from a list of available kanji characters" refers to an algorithm or computer program that analyzes the information about the user's wishes and preferences input and generates name candidates from a list of available kanji characters based on that information.

[0383] The "means for evaluating the number of strokes in the kanji characters for the generated name candidates" is a computer program or algorithm for calculating and evaluating the number of strokes in the kanji characters for the generated name candidates.

[0384] The "means for evaluating the meaning of kanji and the origin of names" refers to a computer program or algorithm that retrieves the meaning of kanji and the origin of names contained in the generated name candidates from a database and performs evaluation based on that information.

[0385] The "means for recognizing emotions from a user's facial expression and voice" refers to a device and computer program for analyzing a user's facial expression and voice to recognize their emotional state, including a camera and microphone mounted on the smart glasses, and an emotion analysis algorithm.

[0386] "Means for preferentially suggesting name candidates that the user prefers based on the results of emotion recognition" refers to a computer program or algorithm for preferentially selecting and suggesting name candidates that the user prefers based on the results of emotion recognition.

[0387] "Means for comprehensively calculating each evaluation and suggesting the most suitable name to the user" refers to a computer program or algorithm for comprehensively calculating each evaluation result and suggesting the most suitable name to the user based on the result.

[0388] This invention is a system that suggests appropriate names by comprehensively considering the user's desired image and preferences, legally usable kanji, strokes in name fortune-telling, the meaning of the kanji, the origin of the name, and the results of emotion recognition. An embodiment of this system will be described below.

[0389] System configuration

[0390] The invention includes the following major components:

[0391] Input Method

[0392] It is a means for users to input their desired image and preferences (for example, the kanji they want to use, the season, their favorite entertainer, etc.). Input methods include keyboards, touch screens, and voice input. This input device is connected to a user terminal.

[0393] Loading the Kanji List

[0394] This is a method of initializing the kanji available in the system by reading the list of available kanji defined by the Ministry of Justice from a database. This list is updated periodically and managed on the server.

[0395] Name candidate generation

[0396] It is a method of analyzing the user's preferences and preferences and generating name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names that include those kanji characters (e.g., Hanako, Haruka, etc.). This process is performed on the server.

[0397] Evaluation of fortune-telling by name

[0398] This is a method for evaluating the strokes of the generated name candidates in the name fortune-telling system. The server calculates the number of strokes for each kanji character and assigns a score to determine whether the character is good or bad luck based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0399] Kanji meaning and name origin evaluation

[0400] This is a means of referencing a database that evaluates the meanings of the kanji characters included in the generated name candidates, and evaluating them based on the origin and popularity of the names. This process is also performed on the server.

[0401] Emotion Engine

[0402] emotion recognition

[0403] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice. The device uses a camera and microphone built into the smart glasses to capture the user's facial expressions and voice, and then uses an emotion analysis algorithm to determine the user's emotions in real time.

[0404] Adjusting name suggestions

[0405] The server has a means to prioritize name candidates that the user prefers based on the emotion recognition results. For example, if the user has a positive reaction to "Hanako," the server will prioritize other names with similar kanji and meanings.

[0406] Overall rating and name suggestions

[0407] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition, and lists the candidate names in descending order of overall score. The top name is then recommended to the user.

[0408] Specific examples

[0409] For example, a user might enter a preference like this:

[0410] Desired image: Spring

[0411] Kanji I want to use: Flower

[0412] Favorite actor's name: Sakurada

[0413] The system proceeds as follows:

[0414] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0415] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0416] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0417] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0418] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0419] Example prompt sentence:

[0420] "When choosing a name for my child, I would like to evoke the image of 'spring' and incorporate the kanji characters 'flower' and 'sakurada'. Please suggest the best name based on this."

[0421] This invention enables users to efficiently receive name candidates that reflect their own wishes and preferences as well as real-time emotional feedback.

[0422] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0423] Step 1:

[0424] The user inputs their desired image and preferences via the terminal. Input methods include a keyboard, touch screen, or voice input, and the input information includes the desired image of the name and the kanji they want to use. For example, specific preferences such as "spring" or "flowers" can be input. The input information is then sent to the server.

[0425] Step 2:

[0426] The server loads the list of available kanji characters specified by the Ministry of Justice from a database. This kanji list is updated periodically, and the latest information is used. The server stores this list in memory in an analyzable format. The loaded kanji list is then used in the subsequent name candidate generation process.

[0427] Step 3:

[0428] The server analyzes the information entered by the user and generates name candidates from a list of available kanji characters. Specifically, it lists names containing the desired kanji characters, such as "spring" or "flower," and generates multiple name candidates. The generated name candidates then go through a more detailed evaluation process.

[0429] Step 4:

[0430] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score based on that to evaluate whether the name is good or bad. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, so the overall evaluation is "good." The evaluation results are saved for each name candidate.

[0431] Step 5:

[0432] The server refers to a database for evaluating the meaning of kanji and the origin of names. It obtains the meaning of the kanji contained in each name candidate, the origin of the name, and its popularity, and evaluates it based on these. For example, the name "Hanako" is evaluated as meaning "a child who grows up like a beautiful flower" and as being highly popular. The evaluation results are saved for each name candidate.

[0433] Step 6:

[0434] The device is equipped with a camera and microphone to recognize emotions from the user's facial expressions and voice. When the user expresses their facial expressions or reactions to the name candidates, the emotion recognition algorithm analyzes the data and determines whether the user's reaction is positive or negative. The recognition results are immediately sent to the server.

[0435] Step 7:

[0436] Based on the results of emotion recognition, the server prioritizes and suggests name candidates that the user prefers. For example, if the user has a positive reaction to "Hanako," names with similar kanji and meanings (e.g., "Haruka") will be prioritized in the list. The order of suggested names is dynamically updated based on the results of emotion recognition.

[0437] Step 8:

[0438] The server comprehensively calculates the evaluation of the name fortune-telling, the meaning of the kanji, the origin of the name, and the evaluation of emotion recognition, and lists the name candidates in order of the highest overall score. The most suitable name candidate is displayed on the terminal as a recommendation to the user. For example, if "Hanako" has the highest score, it will be especially recommended.

[0439] Step 9:

[0440] The user can review the suggested name candidates and, if necessary, input their desired image and preferences again to generate new candidates. This process can be repeated until the user is satisfied.

[0441] 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.

[0442] 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.

[0443] 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.

[0444] [Second embodiment]

[0445] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0446] 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.

[0447] 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).

[0448] 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.

[0449] 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.

[0450] 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).

[0451] 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.

[0452] 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.

[0453] 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.

[0454] 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.

[0455] 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.

[0456] 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."

[0457] This invention is a system that suggests appropriate names from multiple perspectives when deciding on a child's name, such as the user's desired image and preferences, legally usable kanji, character strokes in fortune-telling, the origin of the name, and popularity.

[0458] System configuration

[0459] Input Method

[0460] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[0461] Loading the Kanji List

[0462] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0463] Name candidate generation

[0464] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[0465] Evaluation of fortune-telling by name

[0466] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes in each kanji and assigns a score to determine whether the name is a good or bad luck. For example, in the case of "Hanako," the "hana" (flower) has seven strokes and the "ko" (child) has three strokes, so the name is evaluated as being a good luck overall.

[0467] Kanji meaning and name origin evaluation

[0468] The server refers to a database of kanji meanings to evaluate the meaning of each candidate name's kanji, and also refers to a database of name origins and popularity to evaluate the name's background and how popular it is.

[0469] Overall rating and name suggestions

[0470] The server calculates a comprehensive score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and its popularity. This allows the server to suggest the most suitable name to the user. The suggestions are displayed on the screen, and the user can check the results.

[0471] Reconsidering the name

[0472] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0473] Specific examples

[0474] For example, if the user types:

[0475] Desired image: Spring

[0476] Kanji I want to use: Flower

[0477] Favorite actor's name: Sakurada

[0478] Server Action:

[0479] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0480] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0481] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0482] 4. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0483] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[0484] The processing flow will be explained below.

[0485] Step 1:

[0486] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database. This list is updated periodically.

[0487] Step 2:

[0488] The terminal displays a form for the user to input the desired image and preferences, such as the kanji characters they want to use, the season, their favorite actors, etc.

[0489] Step 3:

[0490] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[0491] Step 4:

[0492] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[0493] Step 5:

[0494] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0495] Step 6:

[0496] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0497] Step 7:

[0498] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and popularity. Candidate names are listed in descending order of overall score, and the top names are recommended and suggested to the user.

[0499] Step 8:

[0500] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[0501] Step 9:

[0502] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[0503] Step 10:

[0504] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[0505] Through the above steps, the user can efficiently determine the optimal name that reflects the desired image and preferences.

[0506] Example 1

[0507] 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."

[0508] The present invention relates to a system that, when choosing a name for a child, suggests an appropriate name comprehensively from multiple perspectives, such as legally usable characters, strokes in surname analysis, the origin of the name, and popularity, while reflecting the user's desired image and characteristics. Conventional name selection methods have difficulty taking all of these factors into consideration, and users often select names subjectively. As a result, there is a risk of later dissatisfaction or choosing a name that is problematic in surname analysis.

[0509] 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.

[0510] In this invention, the server includes means for inputting the user's desired image and characteristics, means for reading a list of available characters determined by the legal department, means for analyzing the input information and generating name candidates from the list of available characters, means for evaluating the strokes of the generated name candidates based on fortune-telling, means for evaluating the meanings of the characters and the origins of the names, means for obtaining and evaluating the popularity of the generated name candidates from a database, and means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This allows the user to consider multiple factors simultaneously and efficiently select a more comprehensively appropriate name.

[0511] "User" refers to a person who utilizes the system to provide input and receive name selection suggestions.

[0512] "Desired image or characteristics" refers to specific factors or conditions that users want to consider when selecting a name, such as a specific character, a season, or the name of a favorite actor.

[0513] A "legal department list of acceptable characters" is a list of characters that can legally be used in names, established by an official body such as the legal department.

[0514] "Input means" refers to the device or interface through which a user inputs desired images or characteristics into the system, including keyboards, touchscreens, and voice input devices.

[0515] "Means of reading" refers to a function for obtaining a list of usable characters determined by the legal department from a database, etc.

[0516] "Means of analysis" refers to the functionality for analyzing the information entered by the user and generating appropriate name candidates, including natural language processing libraries and analysis algorithms.

[0517] "Means for generating name candidates" refers to functionality for creating name candidates from the list of available characters based on the parsed information.

[0518] "Means for evaluating strokes in name fortune-telling" refers to a function that calculates the number of strokes in each character of the generated name candidates and evaluates their good or bad luck based on name fortune-telling.

[0519] "Means for evaluating the meaning of characters and the origin of a name" refers to a function for evaluating the meaning of the characters in the generated name candidates and the origin of the name.

[0520] "Means for obtaining and evaluating popularity from a database" refers to a function for obtaining the frequency of use and general recognition of generated name candidates from a database and evaluating them based on that information.

[0521] "A means of comprehensively calculating and proposing the most suitable name" refers to a function that compiles the evaluation results of name fortune-telling, meaning, origin, popularity, etc., and presents the name that is deemed most suitable for the user.

[0522] "Means for reconsideration" refers to a function that allows a user to input new conditions and generate name candidates again if they are not satisfied with the proposed name.

[0523] This invention is a system that provides an interface for users to input their desired image and characteristics, and suggests the most suitable name based on a list of legally usable characters and other data. This system operates using user terminals, a server, and various databases.

[0524] Implementing input methods

[0525] Users access the system's web interface using a terminal, such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.).

[0526] Users send their desired image and characteristics (e.g., the characters they want to use, the season they want to play, the name of their favorite actor, etc.) to the server through an input form. Input methods include keyboards, touchscreens, and voice input devices (e.g., Apple's Siri, Google Assistant).

[0527] Loading the Kanji List

[0528] The server loads the "allowed character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). This list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0529] To retrieve the list, use an SQL query (e.g. SELECT FROM kanji_list WHERE usage='allowed').

[0530] Name candidate generation

[0531] The server analyzes the preferences and characteristics entered by the user using a natural language processing library (e.g., Python's NLTK).

[0532] Based on the user's desired characters and image, the system generates name candidates from a list of available characters. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0533] The specific process involves using a Python script to parse user input and implement an algorithm that combines characters that match certain conditions to generate a name.

[0534] Evaluation of fortune-telling by name

[0535] The server calculates the stroke length of the generated name candidates and evaluates the fortune of each name using Python's Pandas library.

[0536] For example, in the name "Hanako," the "hana" (flower) has 7 strokes and the "ko" (child) has 3 strokes, so a total of 10 strokes is considered auspicious.

[0537] Character meaning and name origin evaluation

[0538] The server evaluates the meaning of the characters in each candidate name by consulting a character semantics database (e.g., MongoDB).

[0539] The system also refers to a database of names' origins and popularity to evaluate the background of the name and how popular it is. For example, in the case of "Hanako," it is confirmed that the name means "beautiful flower" and is highly popular.

[0540] Overall evaluation and proposals

[0541] The server calculates a comprehensive score by integrating the evaluation of the name, the meaning of the characters, the origin of the name, and the popularity of the name, and then suggests the most suitable name to the user based on this score.

[0542] Suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask). For example, the name "Hanako" with the highest overall score is presented to the user.

[0543] Review function

[0544] If the user is not satisfied with the suggested name, they can reconsider by inputting the desired image and characteristics.

[0545] The user can input new criteria and generate and suggest name candidates again.

[0546] Specific prompt examples

[0547] The generative AI model is fed a text prompt like this:

[0548] I want to use the image of "spring" and the character for "flower." My favorite actor is "Sakurada." Generate name candidates based on these, and rate each name's stroke rating, meaning, and popularity as a name.

[0549] The above is an embodiment of the present invention. This system takes into consideration the user's diverse desires and is able to propose the most suitable name overall.

[0550] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0551] Step 1:

[0552] Users access the system's web interface using a device such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.). The user sends the desired image and characteristics (e.g., the desired character "flower," the desired season "spring," the name of a favorite actor "Sakurada," etc.) to the server through an input form.

[0553] Input data: The desired image and characteristics entered by the user.

[0554] Output Data: User input information that is sent to the server.

[0555] Step 2:

[0556] The server loads the "allowable character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). The list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0557] Input data: Acceptable character list as determined by the legal department.

[0558] Output: A list of available characters retrieved from the database.

[0559] Step 3:

[0560] The server analyzes the preferences and characteristics entered by the user, specifically using a natural language processing library (e.g., Python's NLTK) to parse the user's input and extract information to generate appropriate name candidates.

[0561] Input data: The desired image and characteristics entered by the user.

[0562] Output data: Analyzed desired and characteristic information.

[0563] Step 4:

[0564] The server generates name candidates from a list of available characters based on the analyzed preferences and characteristics. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0565] Input data: Parsed desired and characteristic information, available character list.

[0566] Output: A list of name candidates.

[0567] Step 5:

[0568] The server evaluates the number of strokes in the characters of the generated name candidates. It calculates the number of strokes for each character and calculates the total number of strokes. The evaluation uses Python's Pandas library and other tools.

[0569] Input data: A list of name candidates.

[0570] Output data: Stroke evaluation results for each name candidate.

[0571] Step 6:

[0572] The server evaluates the meaning of each character in each candidate name by referencing a character semantic database (e.g., MongoDB), and also by referencing a database of name origins and popularity to evaluate the name's background and popularity.

[0573] Input data: A list of name candidates.

[0574] Output data: Meaning and origin of each name candidate, and popularity rating results.

[0575] Step 7:

[0576] The server integrates the evaluations of the name, character meaning, name origin, and popularity to calculate an overall score. Based on this score, it suggests the most suitable name to the user. The suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask).

[0577] Input data: Evaluation results of strokes, meaning, origin, and popularity of each name candidate.

[0578] Output: Overall score and best name candidate suggestions.

[0579] Step 8:

[0580] If the user is not satisfied with the proposed name, they can reconsider it by entering the desired image and characteristics. The user can enter new conditions and generate and suggest name candidates again.

[0581] Input Data: The desired image and characteristics are again input by the user.

[0582] Output: A regenerated list of name candidates and suggestions.

[0583] (Application example 1)

[0584] 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."

[0585] Conventional naming systems generate names based on the user's desired attributes and conditions, proposing name candidates from a limited perspective, making it difficult to meet diverse user needs. Furthermore, the evaluation of generated names is one-sided, requiring a more multifaceted evaluation. Therefore, there is a need for a system that improves the efficiency and appropriateness of the trademark and brand name determination process.

[0586] 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.

[0587] In this invention, the server includes an input means for inputting the attributes and conditions desired by the user, a means for reading a list of legally usable characters, a means for analyzing the input information and generating name candidates from the usable character list, a means for evaluating the fortune-telling strokes of the generated name candidates, a means for evaluating the meaning of the characters and the origin of the name, and a means for generating product or brand name candidates, calculating the overall evaluation of each evaluation, and suggesting the most suitable name to the user. This makes it possible to meet the diverse needs of users and improve the efficiency and appropriateness of the name decision-making process.

[0588] 1. "User desired attributes and conditions" refers to the specific keywords and images that users enter when deciding on a product or brand name.

[0589] 2. "Legal Character List" means a list of characters and kanji permitted for use by law or regulation.

[0590] 3. "Input means" refers to the interface used by the user to input desired attributes and conditions into the system, including keyboards, touchscreens, and voice input.

[0591] 4. "Means for generating name candidates" refers to a function that allows the system to generate appropriate name candidates from a list of available characters based on the input information.

[0592] 5. "Means for evaluating strokes in fortune evaluation" is a function that evaluates the fortune of generated name candidates based on the number of strokes in the characters and specific evaluation criteria.

[0593] 6. "Means for evaluating the meaning of characters and the origin of the name" refers to a function that analyzes and evaluates the meaning of each character in the generated name and the origin of the name.

[0594] 7. "Means for generating product or brand name candidates" refers to a function for generating appropriate product or brand name candidates based on attributes and conditions entered by the user.

[0595] 8. "Means for comprehensive calculation and suggestion" is a function that integrates the above evaluation results and presents the most suitable name to the user.

[0596] This invention is a system that generates product and brand name candidates based on attributes and conditions specified by a user, evaluates them from multiple perspectives, and proposes the most suitable name. Specific embodiments of this system are described below.

[0597] System configuration

[0598] This system is implemented using the following hardware and software:

[0599] 1. On the user's device:

[0600] A device that allows users to input attributes and conditions. Examples include smartphones, tablets, and PCs.

[0601] The user uses the terminal to input the necessary information using a keyboard, touch screen, voice input, or the like.

[0602] 2. Server:

[0603] This is the central component of the system and performs the following processes:

[0604] A database management system (DBMS) is used to manage databases of legally permitted characters, trademark information, and semantic information.

[0605] Using a generative AI model, name candidates are generated from input data and evaluated.

[0606] Processing flow

[0607] Input Method

[0608] Users access the system using a terminal and input desired attributes and conditions, such as the image of the product or brand name, the target market, the keywords they want to use, and the desired name style (modern, classic, etc.).

[0609] Loading the list of legally allowed characters

[0610] The server initializes the available character information by reading the latest legally available character list from a database, which is updated periodically.

[0611] Name candidate generation

[0612] The server analyzes the input preferences and conditions and uses a generative AI model to generate name candidates from a list of available characters. For example, if you input keywords such as "eco" or "green," it will generate names that include those keywords.

[0613] Fortune evaluation stroke evaluation

[0614] The number of strokes in each character is calculated for the generated name candidates to evaluate their fortune and give them a score based on the results.

[0615] Evaluation of the meaning of characters and the origin of names

[0616] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[0617] Overall rating and name suggestions

[0618] The server then calculates an overall score by integrating the evaluation results and suggests the most suitable name to the user, who can then check the results on their device screen.

[0619] Reconsidering the name

[0620] If the user is not satisfied with the proposed name, they can regenerate the name by entering the desired attributes and conditions again. This allows the user to generate and receive name candidates as many times as they like.

[0621] Specific examples

[0622] For example, if the user types:

[0623] Desired attribute: Environmentally friendly products

[0624] Keywords to use: Eco, Green

[0625] Server Action:

[0626] 1. Generate name candidates containing "eco" or "green" from the database. For example, "eco green" and "green eco" will be listed.

[0627] 2. The fortune of each candidate name is evaluated, and for example, the stroke evaluation of "Eco Green" is considered to be auspicious.

[0628] 3. The meaning and origin of the name are also evaluated. For example, it is confirmed that "Eco Green" means "environmentally friendly products" and is also widely used.

[0629] 4. Based on the overall score, "Eco Green" is suggested to the user as the most suitable name.

[0630] Example prompt sentence:

[0631] "This product is targeted at users looking for environmentally friendly products. Please suggest some suitable trademarkable product names that include the keywords eco and sustainable."

[0632] This allows the user to smoothly select the most suitable product name or brand name.

[0633] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0634] Step 1: Receive user input

[0635] The user accesses the system using a device (smartphone, tablet, PC) and inputs attributes and conditions such as the image of the product or brand name, the target market, the keywords they want to use, the taste of the desired name, etc. This information is received by the system's input means and used in the next step.

[0636] Input: The attributes or criteria entered by the user (e.g., "eco," "green," "modern," etc.).

[0637] Output: A list of the input attributes and conditions.

[0638] Step 2: Loading the list of legally allowed characters

[0639] The server reads the latest list of legally allowed characters from a database that is updated periodically so the server always has the most up-to-date information.

[0640] Input: A request to access the database.

[0641] Output: A list of legally usable characters.

[0642] Step 3: Generate name candidates

[0643] The server uses a generative AI model to analyze the user's input data and generate name candidates from a list of available characters. For example, based on the input keywords "eco" and "green," the system generates candidates such as "eco green" and "green eco."

[0644] Input: The entered attributes, conditions, and legally acceptable character list.

[0645] Output: A list of generated name candidates.

[0646] Step 4: Evaluate the strokes of your fortune-telling

[0647] The server calculates the strokes of each character in the generated name candidate to evaluate its fortune, and evaluates its luck based on the number of strokes of each character. The evaluation results are saved as a score.

[0648] Input: A list of generated name candidates.

[0649] Output: Fortune assessment scores for each candidate.

[0650] Step 5: Evaluate the meaning of the characters and the origin of the name

[0651] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[0652] Input: Generated name candidate list, semantic database, origin database.

[0653] Output: Semantic and origin evaluation scores for each candidate.

[0654] Step 6: Overall rating and name suggestions

[0655] The server calculates an overall score by combining the fortune evaluation score, meaning score, and origin score for each candidate name, and suggests the most suitable name to the user. The suggestions are displayed on the device screen.

[0656] Input: fortune assessment score, meaning score, origin score.

[0657] Output: The best name and its overall score.

[0658] Step 7: Reconsider the name

[0659] If the user is not satisfied with the proposed name, they can re-enter the desired attributes and conditions and the system will regenerate the name. This step repeats steps 1 to 6.

[0660] Input: Attributes and conditions for re-entry by the user.

[0661] Output: A list of newly generated name candidates and their evaluation scores.

[0662] This allows the user to generate and receive suggestions for name candidates any number of times, and to obtain satisfactory results.

[0663] 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.

[0664] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable kanji, the strokes of the characters in fortune-telling, the origin of the name, its popularity, and even the user's emotional state.

[0665] System configuration

[0666] Input Method

[0667] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[0668] Loading the Kanji List

[0669] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0670] Name candidate generation

[0671] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[0672] Evaluation of fortune-telling by name

[0673] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0674] Kanji meaning and name origin evaluation

[0675] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0676] Introducing the Emotion Engine

[0677] emotion recognition

[0678] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[0679] Adjusting name suggestions

[0680] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar kanji and meanings will be prioritized.

[0681] Overall rating and name suggestions

[0682] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[0683] Reconsidering the name

[0684] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0685] Specific examples

[0686] For example, if the user types:

[0687] Desired image: Spring

[0688] Kanji I want to use: Flower

[0689] Favorite actor's name: Sakurada

[0690] Server Action:

[0691] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0692] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0693] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0694] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0695] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0696] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[0697] The processing flow will be explained below.

[0698] Step 1:

[0699] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0700] Step 2:

[0701] The terminal displays a form for the user to input their desired image and preferences, such as the kanji they want to use, the season, their favorite celebrity, and other information.

[0702] Step 3:

[0703] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[0704] Step 4:

[0705] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[0706] Step 5:

[0707] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0708] Step 6:

[0709] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0710] Step 7:

[0711] The device uses an emotion engine to recognize emotions from the user's facial expressions and voice. It senses the user's facial expressions and reactions when looking at a name candidate and determines whether they like it or not. For example, if the user smiles when they see "Hanako," it will be recognized as a positive reaction.

[0712] Step 8:

[0713] The server prioritizes name suggestions based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," it will prioritize suggestions of names with similar kanji and meanings, such as "Haruka" and "Sakuraka."

[0714] Step 9:

[0715] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, its popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended to the user.

[0716] Step 10:

[0717] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[0718] Step 11:

[0719] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[0720] Step 12:

[0721] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[0722] Through the above steps, the user can efficiently determine the most suitable name that reflects the desired image, preferences, and even emotional state.

[0723] Example 2

[0724] 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."

[0725] When deciding on a name for a child, there is a need to suggest an appropriate name that reflects the user's desired image and preferences, while taking into consideration a variety of factors, including legally usable characters, the characteristics of fortune-telling based on names, the origin and popularity of the name, and even the user's emotional state. However, with conventional technology, it has been difficult to comprehensively evaluate all of these factors and suggest the optimal name.

[0726] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for inputting the user's desired image and preferences, a means for reading a list of available characters, a means for analyzing the input information and generating name candidates from the list of available characters, a means for evaluating the symbol characteristics of the generated name candidates, a means for evaluating the meaning of characters and the origin of the name, a means for recognizing the user's emotions, a means for adjusting the name candidates based on the emotion recognition results, and a means for comprehensively calculating each evaluation and the emotion recognition results and suggesting the most suitable name to the user. This makes it possible to provide optimal name candidates that reflect the user's wishes and emotions.

[0727] A "user" is an individual who uses the system to input their desired image and preferences and receive suitable name suggestions.

[0728] "Input means" refers to a means by which a user inputs information into the system, and includes a keyboard, a touch screen, voice input, etc.

[0729] "Allowable Character List" is a list of legally usable characters that is used within the system when generating name candidates.

[0730] "Means for reading" refers to the means by which the system imports data from the outside, and refers to the function of obtaining a list of available characters from a database.

[0731] The "means for generating" is a function for generating name candidates from a list of available characters based on the input information.

[0732] "Symbol characteristics" refers to the components, such as lines and dots, of each character in a name, and includes, for example, an assessment of the number of strokes.

[0733] "Means for evaluating" refers to a method or device for determining the appropriateness of generated name candidates.

[0734] The "meaning of the letters" refers to the inherent significance of each letter used in a name.

[0735] "Name origin" is information about how a name began to be used historically and what its origins are.

[0736] "Means for recognizing emotions" refers to means for analyzing and determining the emotional state of a user from their facial expressions and voice.

[0737] The "adjustment means" is a function for changing the priority of name candidates based on the results of emotion recognition and suggesting appropriate names to the user.

[0738] "Comprehensive calculation" means combining the results of multiple evaluations to calculate a final score.

[0739] The "means for suggesting" is a function for displaying the most suitable name based on the calculation results to the user and prompting them to select it.

[0740] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable characters, the characteristics of fortune-telling based on names, the origin of the name, its popularity, and even the user's emotional state.

[0741] System configuration

[0742] Input Method

[0743] Users access the system using a terminal and input their desired image and preferences (for example, the characters they want to use, the season, their favorite actors, etc.) Input methods include keyboards, touchscreens, and voice input.

[0744] Loading a character list

[0745] The server reads the list of legally allowed characters from a database and initializes the characters allowed in the system. This list is updated periodically.

[0746] Name candidate generation

[0747] The server analyzes the input preferences and generates name candidates from a list of available characters. For example, if the user requests the characters "spring" and "flower," it will list names containing those characters (e.g., Hanako, Haruka, etc.).

[0748] Evaluation of fortune-telling by name

[0749] The server evaluates the name candidates it generates for fortune-telling. It calculates the number of strokes for each character and assigns a score based on that number to determine whether the name is good or bad. For example, in the case of "Hanako," the character "hana" has seven strokes and the character "ko" has three strokes, so the overall evaluation is "good."

[0750] Character meaning and name origin evaluation

[0751] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0752] Introducing the Emotion Engine

[0753] emotion recognition

[0754] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[0755] Adjusting name suggestions

[0756] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar characters and meanings will be prioritized.

[0757] Overall rating and name suggestions

[0758] The server calculates an overall score based on the evaluation of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[0759] Reconsidering the name

[0760] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0761] Specific examples

[0762] For example, if the user types:

[0763] Desired image: Spring

[0764] Characters to use: Flower

[0765] Favorite actor's name: Sakurada

[0766] Server Action:

[0767] 1. Generate name candidates containing "flower" and "sakura" from a list of legally allowed characters. For example, "Hanako" and "Haruzakura" are listed.

[0768] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the characteristics of "Hanako" are considered to be auspicious.

[0769] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0770] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0771] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0772] 6. The user can review the suggested names and, if necessary, enter the desired criteria again to continue generating new candidates.

[0773] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0774] Step 1:

[0775] Users access the system using a terminal and input their desired image and preferences. Input methods include keyboard, touch screen, and voice input. For example, if a user inputs "spring," "flowers," or "cherry blossom fields," that data is sent from the terminal to the server. Input: The user's desired image and preferences. Output: The desired data sent to the server.

[0776] Step 2:

[0777] The server reads the list of legally usable characters from the database and initializes the characters that can be used in the system. This list is updated periodically. Specifically, the server retrieves the latest character list from the database and stores it in memory. Input: Character list from the database. Output: Character data stored in the server's memory.

[0778] Step 3:

[0779] The server analyzes the user's desired data and compares it with the list of available characters. For example, if the desired characters are "spring" and "flower," it generates name candidates that include those characters (e.g., Hanako, Haruka, etc.). The generated candidates are saved in a temporary list. Input: The user's desired data and the list of available characters. Output: A list of name candidates.

[0780] Step 4:

[0781] The server evaluates the name fortune-telling characteristics of the generated name candidates. Specifically, it calculates the number of strokes in each character of the name and assigns a score to judge whether it is good or bad luck based on that number of strokes. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, and these scores are combined and evaluated. Input: List of name candidates. Output: Name fortune-telling score.

[0782] Step 5:

[0783] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. Specifically, it determines that "Hanako" is a name that has been used for a long time and is highly popular. Input: List of name candidates. Output: Evaluation data for name meanings, origins, and popularity.

[0784] Step 6:

[0785] The emotion recognition engine installed on the device recognizes emotions from the user's facial expressions and voice. The camera and microphone capture the user's reactions when looking at or speaking the name candidates, and this data is sent to the server. Specific actions include detecting the user's reaction when they see "Hanako" and smile. Input: User's facial expressions and voice data. Output: Emotion recognition results.

[0786] Step 7:

[0787] The server analyzes data from the emotion engine and prioritizes name candidates to which the user has a positive reaction. For example, if the user smiles at "Hanako," names with similar characters and meanings will be prioritized and listed. Input: Emotion recognition results and a list of name candidates. Output: A refined list of name candidates.

[0788] Step 8:

[0789] The server calculates an overall score based on the evaluation results of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Name candidates are listed in descending order of overall score and presented to the user. Specifically, all evaluation results are integrated to calculate a score, and the most suitable names are displayed as special recommendations. Input: All evaluation results. Output: Overall score and list of name candidates.

[0790] Step 9:

[0791] The user checks the name candidates presented, and if they are not satisfied, they can re-enter their desired image and preferences and reconsider. At this time, the user inputs new conditions, and the server processes again. Specifically, the user inputs new preferences such as "Summer," "Umi," or "Sakata," and new name candidates are generated. Input: Data re-entered by the user. Output: New list of name candidates.

[0792] (Application example 2)

[0793] 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."

[0794] While conventional child naming systems take into account the user's preferences and preferences, they are unable to reflect emotional feedback in real time. This makes it difficult to accurately suggest names that the user actually prefers. Furthermore, while there is a demand for services provided in brick-and-mortar stores that reflect real-time feedback, there is currently no way to achieve this.

[0795] The identification process by the identification 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 an input means for inputting the user's desired image and preferences, a means for reading a list of available kanji characters defined by the Ministry of Justice, a means for analyzing the input information and generating name candidates from the list of available kanji characters, a means for evaluating the strokes of the generated name candidates based on name fortune-telling, a means for evaluating the meaning of the kanji characters and the origin of the name, a means for recognizing emotions from the user's facial expressions and voice, a means for preferentially suggesting name candidates preferred by the user based on the results of emotion recognition, and a means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This enables more accurate name suggestions that reflect the user's real-time emotional feedback.

[0796] "Input means for inputting the user's desired image and preferences" refers to a device or interface for inputting the user's desired image, kanji characters, and other preferences into the system. This includes keyboards, touch screens, voice input, etc.

[0797] "Means for reading the list of usable kanji characters established by the Ministry of Justice" refers to a system component for obtaining and reading the list of usable kanji characters established by the Ministry of Justice. This includes kanji lists stored on a server or in a database.

[0798] "Means for analyzing input information and generating name candidates from a list of available kanji characters" refers to an algorithm or computer program that analyzes the information about the user's wishes and preferences input and generates name candidates from a list of available kanji characters based on that information.

[0799] The "means for evaluating the number of strokes in the kanji characters for the generated name candidates" is a computer program or algorithm for calculating and evaluating the number of strokes in the kanji characters for the generated name candidates.

[0800] The "means for evaluating the meaning of kanji and the origin of names" refers to a computer program or algorithm that retrieves the meaning of kanji and the origin of names contained in the generated name candidates from a database and performs evaluation based on that information.

[0801] The "means for recognizing emotions from a user's facial expression and voice" refers to a device and computer program for analyzing a user's facial expression and voice to recognize their emotional state, including a camera and microphone mounted on the smart glasses, and an emotion analysis algorithm.

[0802] "Means for preferentially suggesting name candidates that the user prefers based on the results of emotion recognition" refers to a computer program or algorithm for preferentially selecting and suggesting name candidates that the user prefers based on the results of emotion recognition.

[0803] "Means for comprehensively calculating each evaluation and suggesting the most suitable name to the user" refers to a computer program or algorithm for comprehensively calculating each evaluation result and suggesting the most suitable name to the user based on the result.

[0804] This invention is a system that suggests appropriate names by comprehensively considering the user's desired image and preferences, legally usable kanji, strokes in name fortune-telling, the meaning of the kanji, the origin of the name, and the results of emotion recognition. An embodiment of this system will be described below.

[0805] System configuration

[0806] The invention includes the following major components:

[0807] Input Method

[0808] It is a means for users to input their desired image and preferences (for example, the kanji they want to use, the season, their favorite entertainer, etc.). Input methods include keyboards, touch screens, and voice input. This input device is connected to a user terminal.

[0809] Loading the Kanji List

[0810] This is a method of initializing the kanji available in the system by reading the list of available kanji defined by the Ministry of Justice from a database. This list is updated periodically and managed on the server.

[0811] Name candidate generation

[0812] It is a method of analyzing the user's preferences and preferences and generating name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names that include those kanji characters (e.g., Hanako, Haruka, etc.). This process is performed on the server.

[0813] Evaluation of fortune-telling by name

[0814] This is a method for evaluating the strokes of the generated name candidates in the name fortune-telling system. The server calculates the number of strokes for each kanji character and assigns a score to determine whether the character is good or bad luck based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0815] Kanji meaning and name origin evaluation

[0816] This is a means of referencing a database that evaluates the meanings of the kanji characters included in the generated name candidates, and evaluating them based on the origin and popularity of the names. This process is also performed on the server.

[0817] Emotion Engine

[0818] emotion recognition

[0819] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice. The device uses a camera and microphone built into the smart glasses to capture the user's facial expressions and voice, and then uses an emotion analysis algorithm to determine the user's emotions in real time.

[0820] Adjusting name suggestions

[0821] The server has a means to prioritize name candidates that the user prefers based on the emotion recognition results. For example, if the user has a positive reaction to "Hanako," the server will prioritize other names with similar kanji and meanings.

[0822] Overall rating and name suggestions

[0823] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition, and lists the candidate names in descending order of overall score. The top name is then recommended to the user.

[0824] Specific examples

[0825] For example, a user might enter a preference like this:

[0826] Desired image: Spring

[0827] Kanji I want to use: Flower

[0828] Favorite actor's name: Sakurada

[0829] The system proceeds as follows:

[0830] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0831] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0832] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0833] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[0834] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0835] Example prompt sentence:

[0836] "When choosing a name for my child, I would like to evoke the image of 'spring' and incorporate the kanji characters 'flower' and 'sakurada'. Please suggest the best name based on this."

[0837] This invention enables users to efficiently receive name candidates that reflect their own wishes and preferences as well as real-time emotional feedback.

[0838] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0839] Step 1:

[0840] The user inputs their desired image and preferences via the terminal. Input methods include a keyboard, touch screen, or voice input, and the input information includes the desired image of the name and the kanji they want to use. For example, specific preferences such as "spring" or "flowers" can be input. The input information is then sent to the server.

[0841] Step 2:

[0842] The server loads the list of available kanji characters specified by the Ministry of Justice from a database. This kanji list is updated periodically, and the latest information is used. The server stores this list in memory in an analyzable format. The loaded kanji list is then used in the subsequent name candidate generation process.

[0843] Step 3:

[0844] The server analyzes the information entered by the user and generates name candidates from a list of available kanji characters. Specifically, it lists names containing the desired kanji characters, such as "spring" or "flower," and generates multiple name candidates. The generated name candidates then go through a more detailed evaluation process.

[0845] Step 4:

[0846] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score based on that to evaluate whether the name is good or bad. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, so the overall evaluation is "good." The evaluation results are saved for each name candidate.

[0847] Step 5:

[0848] The server refers to a database for evaluating the meaning of kanji and the origin of names. It obtains the meaning of the kanji contained in each name candidate, the origin of the name, and its popularity, and evaluates it based on these. For example, the name "Hanako" is evaluated as meaning "a child who grows up like a beautiful flower" and as being highly popular. The evaluation results are saved for each name candidate.

[0849] Step 6:

[0850] The device is equipped with a camera and microphone to recognize emotions from the user's facial expressions and voice. When the user expresses their facial expressions or reactions to the name candidates, the emotion recognition algorithm analyzes the data and determines whether the user's reaction is positive or negative. The recognition results are immediately sent to the server.

[0851] Step 7:

[0852] Based on the results of emotion recognition, the server prioritizes and suggests name candidates that the user prefers. For example, if the user has a positive reaction to "Hanako," names with similar kanji and meanings (e.g., "Haruka") will be prioritized in the list. The order of suggested names is dynamically updated based on the results of emotion recognition.

[0853] Step 8:

[0854] The server comprehensively calculates the evaluation of the name fortune-telling, the meaning of the kanji, the origin of the name, and the evaluation of emotion recognition, and lists the name candidates in order of the highest overall score. The most suitable name candidate is displayed on the terminal as a recommendation to the user. For example, if "Hanako" has the highest score, it will be especially recommended.

[0855] Step 9:

[0856] The user can review the suggested name candidates and, if necessary, input their desired image and preferences again to generate new candidates. This process can be repeated until the user is satisfied.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] [Third embodiment]

[0861] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0862] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0863] 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).

[0864] 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.

[0865] 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.

[0866] 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).

[0867] 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.

[0868] 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.

[0869] 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.

[0870] 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.

[0871] 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.

[0872] 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."

[0873] This invention is a system that suggests appropriate names from multiple perspectives when deciding on a child's name, such as the user's desired image and preferences, legally usable kanji, character strokes in fortune-telling, the origin of the name, and popularity.

[0874] System configuration

[0875] Input Method

[0876] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[0877] Loading the Kanji List

[0878] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[0879] Name candidate generation

[0880] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[0881] Evaluation of fortune-telling by name

[0882] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes in each kanji and assigns a score to determine whether the name is a good or bad luck. For example, in the case of "Hanako," the "hana" (flower) has seven strokes and the "ko" (child) has three strokes, so the name is evaluated as being a good luck overall.

[0883] Kanji meaning and name origin evaluation

[0884] The server refers to a database of kanji meanings to evaluate the meaning of each candidate name's kanji, and also refers to a database of name origins and popularity to evaluate the name's background and how popular it is.

[0885] Overall rating and name suggestions

[0886] The server calculates a comprehensive score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and its popularity. This allows the server to suggest the most suitable name to the user. The suggestions are displayed on the screen, and the user can check the results.

[0887] Reconsidering the name

[0888] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[0889] Specific examples

[0890] For example, if the user types:

[0891] Desired image: Spring

[0892] Kanji I want to use: Flower

[0893] Favorite actor's name: Sakurada

[0894] Server Action:

[0895] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[0896] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[0897] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[0898] 4. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[0899] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[0900] The processing flow will be explained below.

[0901] Step 1:

[0902] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database. This list is updated periodically.

[0903] Step 2:

[0904] The terminal displays a form for the user to input the desired image and preferences, such as the kanji characters they want to use, the season, their favorite actors, etc.

[0905] Step 3:

[0906] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[0907] Step 4:

[0908] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[0909] Step 5:

[0910] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[0911] Step 6:

[0912] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[0913] Step 7:

[0914] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and popularity. Candidate names are listed in descending order of overall score, and the top names are recommended and suggested to the user.

[0915] Step 8:

[0916] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[0917] Step 9:

[0918] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[0919] Step 10:

[0920] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[0921] Through the above steps, the user can efficiently determine the optimal name that reflects the desired image and preferences.

[0922] Example 1

[0923] 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."

[0924] The present invention relates to a system that, when choosing a name for a child, suggests an appropriate name comprehensively from multiple perspectives, such as legally usable characters, strokes in surname analysis, the origin of the name, and popularity, while reflecting the user's desired image and characteristics. Conventional name selection methods have difficulty taking all of these factors into consideration, and users often select names subjectively. As a result, there is a risk of later dissatisfaction or choosing a name that is problematic in surname analysis.

[0925] 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.

[0926] In this invention, the server includes means for inputting the user's desired image and characteristics, means for reading a list of available characters determined by the legal department, means for analyzing the input information and generating name candidates from the list of available characters, means for evaluating the strokes of the generated name candidates based on fortune-telling, means for evaluating the meanings of the characters and the origins of the names, means for obtaining and evaluating the popularity of the generated name candidates from a database, and means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This allows the user to consider multiple factors simultaneously and efficiently select a more comprehensively appropriate name.

[0927] "User" refers to a person who utilizes the system to provide input and receive name selection suggestions.

[0928] "Desired image or characteristics" refers to specific factors or conditions that users want to consider when selecting a name, such as a specific character, a season, or the name of a favorite actor.

[0929] A "legal department list of acceptable characters" is a list of characters that can legally be used in names, established by an official body such as the legal department.

[0930] "Input means" refers to the device or interface through which a user inputs desired images or characteristics into the system, including keyboards, touchscreens, and voice input devices.

[0931] "Means of reading" refers to a function for obtaining a list of usable characters determined by the legal department from a database, etc.

[0932] "Means of analysis" refers to the functionality for analyzing the information entered by the user and generating appropriate name candidates, including natural language processing libraries and analysis algorithms.

[0933] "Means for generating name candidates" refers to functionality for creating name candidates from the list of available characters based on the parsed information.

[0934] "Means for evaluating strokes in name fortune-telling" refers to a function that calculates the number of strokes in each character of the generated name candidates and evaluates their good or bad luck based on name fortune-telling.

[0935] "Means for evaluating the meaning of characters and the origin of a name" refers to a function for evaluating the meaning of the characters in the generated name candidates and the origin of the name.

[0936] "Means for obtaining and evaluating popularity from a database" refers to a function for obtaining the frequency of use and general recognition of generated name candidates from a database and evaluating them based on that information.

[0937] "A means of comprehensively calculating and proposing the most suitable name" refers to a function that compiles the evaluation results of name fortune-telling, meaning, origin, popularity, etc., and presents the name that is deemed most suitable for the user.

[0938] "Means for reconsideration" refers to a function that allows a user to input new conditions and generate name candidates again if they are not satisfied with the proposed name.

[0939] This invention is a system that provides an interface for users to input their desired image and characteristics, and suggests the most suitable name based on a list of legally usable characters and other data. This system operates using user terminals, a server, and various databases.

[0940] Implementing input methods

[0941] Users access the system's web interface using a terminal, such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.).

[0942] Users send their desired image and characteristics (e.g., the characters they want to use, the season they want to play, the name of their favorite actor, etc.) to the server through an input form. Input methods include keyboards, touchscreens, and voice input devices (e.g., Apple's Siri, Google Assistant).

[0943] Loading the Kanji List

[0944] The server loads the "allowed character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). This list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0945] To retrieve the list, use an SQL query (e.g. SELECT FROM kanji_list WHERE usage='allowed').

[0946] Name candidate generation

[0947] The server analyzes the preferences and characteristics entered by the user using a natural language processing library (e.g., Python's NLTK).

[0948] Based on the user's desired characters and image, the system generates name candidates from a list of available characters. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0949] The specific process involves using a Python script to parse user input and implement an algorithm that combines characters that match certain conditions to generate a name.

[0950] Evaluation of fortune-telling by name

[0951] The server calculates the stroke length of the generated name candidates and evaluates the fortune of each name using Python's Pandas library.

[0952] For example, in the name "Hanako," the "hana" (flower) has 7 strokes and the "ko" (child) has 3 strokes, so a total of 10 strokes is considered auspicious.

[0953] Character meaning and name origin evaluation

[0954] The server evaluates the meaning of the characters in each candidate name by consulting a character semantics database (e.g., MongoDB).

[0955] The system also refers to a database of names' origins and popularity to evaluate the background of the name and how popular it is. For example, in the case of "Hanako," it is confirmed that the name means "beautiful flower" and is highly popular.

[0956] Overall evaluation and proposals

[0957] The server calculates a comprehensive score by integrating the evaluation of the name, the meaning of the characters, the origin of the name, and the popularity of the name, and then suggests the most suitable name to the user based on this score.

[0958] Suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask). For example, the name "Hanako" with the highest overall score is presented to the user.

[0959] Review function

[0960] If the user is not satisfied with the suggested name, they can reconsider by inputting the desired image and characteristics.

[0961] The user can input new criteria and generate and suggest name candidates again.

[0962] Specific prompt examples

[0963] The generative AI model is fed a text prompt like this:

[0964] I want to use the image of "spring" and the character for "flower." My favorite actor is "Sakurada." Generate name candidates based on these, and rate each name's stroke rating, meaning, and popularity as a name.

[0965] The above is an embodiment of the present invention. This system takes into consideration the user's diverse desires and is able to propose the most suitable name overall.

[0966] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0967] Step 1:

[0968] Users access the system's web interface using a device such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.). The user sends the desired image and characteristics (e.g., the desired character "flower," the desired season "spring," the name of a favorite actor "Sakurada," etc.) to the server through an input form.

[0969] Input data: The desired image and characteristics entered by the user.

[0970] Output Data: User input information that is sent to the server.

[0971] Step 2:

[0972] The server loads the "allowable character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). The list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[0973] Input data: Acceptable character list as determined by the legal department.

[0974] Output: A list of available characters retrieved from the database.

[0975] Step 3:

[0976] The server analyzes the preferences and characteristics entered by the user, specifically using a natural language processing library (e.g., Python's NLTK) to parse the user's input and extract information to generate appropriate name candidates.

[0977] Input data: The desired image and characteristics entered by the user.

[0978] Output data: Analyzed desired and characteristic information.

[0979] Step 4:

[0980] The server generates name candidates from a list of available characters based on the analyzed preferences and characteristics. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[0981] Input data: Parsed desired and characteristic information, available character list.

[0982] Output: A list of name candidates.

[0983] Step 5:

[0984] The server evaluates the number of strokes in the characters of the generated name candidates. It calculates the number of strokes for each character and calculates the total number of strokes. The evaluation uses Python's Pandas library and other tools.

[0985] Input data: A list of name candidates.

[0986] Output data: Stroke evaluation results for each name candidate.

[0987] Step 6:

[0988] The server evaluates the meaning of each character in each candidate name by referencing a character semantic database (e.g., MongoDB), and also by referencing a database of name origins and popularity to evaluate the name's background and popularity.

[0989] Input data: A list of name candidates.

[0990] Output data: Meaning and origin of each name candidate, and popularity rating results.

[0991] Step 7:

[0992] The server integrates the evaluations of the name, character meaning, name origin, and popularity to calculate an overall score. Based on this score, it suggests the most suitable name to the user. The suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask).

[0993] Input data: Evaluation results of strokes, meaning, origin, and popularity of each name candidate.

[0994] Output: Overall score and best name candidate suggestions.

[0995] Step 8:

[0996] If the user is not satisfied with the proposed name, they can reconsider it by entering the desired image and characteristics. The user can enter new conditions and generate and suggest name candidates again.

[0997] Input Data: The desired image and characteristics are again input by the user.

[0998] Output: A regenerated list of name candidates and suggestions.

[0999] (Application example 1)

[1000] 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."

[1001] Conventional naming systems generate names based on the user's desired attributes and conditions, proposing name candidates from a limited perspective, making it difficult to meet diverse user needs. Furthermore, the evaluation of generated names is one-sided, requiring a more multifaceted evaluation. Therefore, there is a need for a system that improves the efficiency and appropriateness of the trademark and brand name determination process.

[1002] 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.

[1003] In this invention, the server includes an input means for inputting the attributes and conditions desired by the user, a means for reading a list of legally usable characters, a means for analyzing the input information and generating name candidates from the usable character list, a means for evaluating the fortune-telling strokes of the generated name candidates, a means for evaluating the meaning of the characters and the origin of the name, and a means for generating product or brand name candidates, calculating the overall evaluation of each evaluation, and suggesting the most suitable name to the user. This makes it possible to meet the diverse needs of users and improve the efficiency and appropriateness of the name decision-making process.

[1004] 1. "User desired attributes and conditions" refers to the specific keywords and images that users enter when deciding on a product or brand name.

[1005] 2. "Legal Character List" means a list of characters and kanji permitted for use by law or regulation.

[1006] 3. "Input means" refers to the interface used by the user to input desired attributes and conditions into the system, including keyboards, touchscreens, and voice input.

[1007] 4. "Means for generating name candidates" refers to a function that allows the system to generate appropriate name candidates from a list of available characters based on the input information.

[1008] 5. "Means for evaluating strokes in fortune evaluation" is a function that evaluates the fortune of generated name candidates based on the number of strokes in the characters and specific evaluation criteria.

[1009] 6. "Means for evaluating the meaning of characters and the origin of the name" refers to a function that analyzes and evaluates the meaning of each character in the generated name and the origin of the name.

[1010] 7. "Means for generating product or brand name candidates" refers to a function for generating appropriate product or brand name candidates based on attributes and conditions entered by the user.

[1011] 8. "Means for comprehensive calculation and suggestion" is a function that integrates the above evaluation results and presents the most suitable name to the user.

[1012] This invention is a system that generates product and brand name candidates based on attributes and conditions specified by a user, evaluates them from multiple perspectives, and proposes the most suitable name. Specific embodiments of this system are described below.

[1013] System configuration

[1014] This system is implemented using the following hardware and software:

[1015] 1. On the user's device:

[1016] A device that allows users to input attributes and conditions. Examples include smartphones, tablets, and PCs.

[1017] The user uses the terminal to input the necessary information using a keyboard, touch screen, voice input, or the like.

[1018] 2. Server:

[1019] This is the central component of the system and performs the following processes:

[1020] A database management system (DBMS) is used to manage databases of legally permitted characters, trademark information, and semantic information.

[1021] Using a generative AI model, name candidates are generated from input data and evaluated.

[1022] Processing flow

[1023] Input Method

[1024] Users access the system using a terminal and input desired attributes and conditions, such as the image of the product or brand name, the target market, the keywords they want to use, and the desired name style (modern, classic, etc.).

[1025] Loading the list of legally allowed characters

[1026] The server initializes the available character information by reading the latest legally available character list from a database, which is updated periodically.

[1027] Name candidate generation

[1028] The server analyzes the input preferences and conditions and uses a generative AI model to generate name candidates from a list of available characters. For example, if you input keywords such as "eco" or "green," it will generate names that include those keywords.

[1029] Fortune evaluation stroke evaluation

[1030] The number of strokes in each character is calculated for the generated name candidates to evaluate their fortune and give them a score based on the results.

[1031] Evaluation of the meaning of characters and the origin of names

[1032] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[1033] Overall rating and name suggestions

[1034] The server then calculates an overall score by integrating the evaluation results and suggests the most suitable name to the user, who can then check the results on their device screen.

[1035] Reconsidering the name

[1036] If the user is not satisfied with the proposed name, they can regenerate the name by entering the desired attributes and conditions again. This allows the user to generate and receive name candidates as many times as they like.

[1037] Specific examples

[1038] For example, if the user types:

[1039] Desired attribute: Environmentally friendly products

[1040] Keywords to use: Eco, Green

[1041] Server Action:

[1042] 1. Generate name candidates containing "eco" or "green" from the database. For example, "eco green" and "green eco" will be listed.

[1043] 2. The fortune of each candidate name is evaluated, and for example, the stroke evaluation of "Eco Green" is considered to be auspicious.

[1044] 3. The meaning and origin of the name are also evaluated. For example, it is confirmed that "Eco Green" means "environmentally friendly products" and is also widely used.

[1045] 4. Based on the overall score, "Eco Green" is suggested to the user as the most suitable name.

[1046] Example prompt sentence:

[1047] "This product is targeted at users looking for environmentally friendly products. Please suggest some suitable trademarkable product names that include the keywords eco and sustainable."

[1048] This allows the user to smoothly select the most suitable product name or brand name.

[1049] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1050] Step 1: Receive user input

[1051] The user accesses the system using a device (smartphone, tablet, PC) and inputs attributes and conditions such as the image of the product or brand name, the target market, the keywords they want to use, the taste of the desired name, etc. This information is received by the system's input means and used in the next step.

[1052] Input: The attributes or criteria entered by the user (e.g., "eco," "green," "modern," etc.).

[1053] Output: A list of the input attributes and conditions.

[1054] Step 2: Loading the list of legally allowed characters

[1055] The server reads the latest list of legally allowed characters from a database that is updated periodically so the server always has the most up-to-date information.

[1056] Input: A request to access the database.

[1057] Output: A list of legally usable characters.

[1058] Step 3: Generate name candidates

[1059] The server uses a generative AI model to analyze the user's input data and generate name candidates from a list of available characters. For example, based on the input keywords "eco" and "green," the system generates candidates such as "eco green" and "green eco."

[1060] Input: The entered attributes, conditions, and legally acceptable character list.

[1061] Output: A list of generated name candidates.

[1062] Step 4: Evaluate the strokes of your fortune-telling

[1063] The server calculates the strokes of each character in the generated name candidate to evaluate its fortune, and evaluates its luck based on the number of strokes of each character. The evaluation results are saved as a score.

[1064] Input: A list of generated name candidates.

[1065] Output: Fortune assessment scores for each candidate.

[1066] Step 5: Evaluate the meaning of the characters and the origin of the name

[1067] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[1068] Input: Generated name candidate list, semantic database, origin database.

[1069] Output: Semantic and origin evaluation scores for each candidate.

[1070] Step 6: Overall rating and name suggestions

[1071] The server calculates an overall score by combining the fortune evaluation score, meaning score, and origin score for each candidate name, and suggests the most suitable name to the user. The suggestions are displayed on the device screen.

[1072] Input: fortune assessment score, meaning score, origin score.

[1073] Output: The best name and its overall score.

[1074] Step 7: Reconsider the name

[1075] If the user is not satisfied with the proposed name, they can re-enter the desired attributes and conditions and the system will regenerate the name. This step repeats steps 1 to 6.

[1076] Input: Attributes and conditions for re-entry by the user.

[1077] Output: A list of newly generated name candidates and their evaluation scores.

[1078] This allows the user to generate and receive suggestions for name candidates any number of times, and to obtain satisfactory results.

[1079] 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.

[1080] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable kanji, the strokes of the characters in fortune-telling, the origin of the name, its popularity, and even the user's emotional state.

[1081] System configuration

[1082] Input Method

[1083] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[1084] Loading the Kanji List

[1085] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[1086] Name candidate generation

[1087] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[1088] Evaluation of fortune-telling by name

[1089] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1090] Kanji meaning and name origin evaluation

[1091] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1092] Introducing the Emotion Engine

[1093] emotion recognition

[1094] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[1095] Adjusting name suggestions

[1096] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar kanji and meanings will be prioritized.

[1097] Overall rating and name suggestions

[1098] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[1099] Reconsidering the name

[1100] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[1101] Specific examples

[1102] For example, if the user types:

[1103] Desired image: Spring

[1104] Kanji I want to use: Flower

[1105] Favorite actor's name: Sakurada

[1106] Server Action:

[1107] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[1108] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[1109] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1110] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1111] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1112] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[1113] The processing flow will be explained below.

[1114] Step 1:

[1115] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[1116] Step 2:

[1117] The terminal displays a form for the user to input their desired image and preferences, such as the kanji they want to use, the season, their favorite celebrity, and other information.

[1118] Step 3:

[1119] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[1120] Step 4:

[1121] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[1122] Step 5:

[1123] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1124] Step 6:

[1125] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1126] Step 7:

[1127] The device uses an emotion engine to recognize emotions from the user's facial expressions and voice. It senses the user's facial expressions and reactions when looking at a name candidate and determines whether they like it or not. For example, if the user smiles when they see "Hanako," it will be recognized as a positive reaction.

[1128] Step 8:

[1129] The server prioritizes name suggestions based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," it will prioritize suggestions of names with similar kanji and meanings, such as "Haruka" and "Sakuraka."

[1130] Step 9:

[1131] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, its popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended to the user.

[1132] Step 10:

[1133] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[1134] Step 11:

[1135] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[1136] Step 12:

[1137] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[1138] Through the above steps, the user can efficiently determine the most suitable name that reflects the desired image, preferences, and even emotional state.

[1139] Example 2

[1140] 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."

[1141] When deciding on a name for a child, there is a need to suggest an appropriate name that reflects the user's desired image and preferences, while taking into consideration a variety of factors, including legally usable characters, the characteristics of fortune-telling based on names, the origin and popularity of the name, and even the user's emotional state. However, with conventional technology, it has been difficult to comprehensively evaluate all of these factors and suggest the optimal name.

[1142] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for inputting the user's desired image and preferences, a means for reading a list of available characters, a means for analyzing the input information and generating name candidates from the list of available characters, a means for evaluating the symbol characteristics of the generated name candidates, a means for evaluating the meaning of characters and the origin of the name, a means for recognizing the user's emotions, a means for adjusting the name candidates based on the emotion recognition results, and a means for comprehensively calculating each evaluation and the emotion recognition results and suggesting the most suitable name to the user. This makes it possible to provide optimal name candidates that reflect the user's wishes and emotions.

[1143] A "user" is an individual who uses the system to input their desired image and preferences and receive suitable name suggestions.

[1144] "Input means" refers to a means by which a user inputs information into the system, and includes a keyboard, a touch screen, voice input, etc.

[1145] "Allowable Character List" is a list of legally usable characters that is used within the system when generating name candidates.

[1146] "Means for reading" refers to the means by which the system imports data from the outside, and refers to the function of obtaining a list of available characters from a database.

[1147] The "means for generating" is a function for generating name candidates from a list of available characters based on the input information.

[1148] "Symbol characteristics" refers to the components, such as lines and dots, of each character in a name, and includes, for example, an assessment of the number of strokes.

[1149] "Means for evaluating" refers to a method or device for determining the appropriateness of generated name candidates.

[1150] The "meaning of the letters" refers to the inherent significance of each letter used in a name.

[1151] "Name origin" is information about how a name began to be used historically and what its origins are.

[1152] "Means for recognizing emotions" refers to means for analyzing and determining the emotional state of a user from their facial expressions and voice.

[1153] The "adjustment means" is a function for changing the priority of name candidates based on the results of emotion recognition and suggesting appropriate names to the user.

[1154] "Comprehensive calculation" means combining the results of multiple evaluations to calculate a final score.

[1155] The "means for suggesting" is a function for displaying the most suitable name based on the calculation results to the user and prompting them to select it.

[1156] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable characters, the characteristics of fortune-telling based on names, the origin of the name, its popularity, and even the user's emotional state.

[1157] System configuration

[1158] Input Method

[1159] Users access the system using a terminal and input their desired image and preferences (for example, the characters they want to use, the season, their favorite actors, etc.) Input methods include keyboards, touchscreens, and voice input.

[1160] Loading a character list

[1161] The server reads the list of legally allowed characters from a database and initializes the characters allowed in the system. This list is updated periodically.

[1162] Name candidate generation

[1163] The server analyzes the input preferences and generates name candidates from a list of available characters. For example, if the user requests the characters "spring" and "flower," it will list names containing those characters (e.g., Hanako, Haruka, etc.).

[1164] Evaluation of fortune-telling by name

[1165] The server evaluates the name candidates it generates for fortune-telling. It calculates the number of strokes for each character and assigns a score based on that number to determine whether the name is good or bad. For example, in the case of "Hanako," the character "hana" has seven strokes and the character "ko" has three strokes, so the overall evaluation is "good."

[1166] Character meaning and name origin evaluation

[1167] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1168] Introducing the Emotion Engine

[1169] emotion recognition

[1170] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[1171] Adjusting name suggestions

[1172] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar characters and meanings will be prioritized.

[1173] Overall rating and name suggestions

[1174] The server calculates an overall score based on the evaluation of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[1175] Reconsidering the name

[1176] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[1177] Specific examples

[1178] For example, if the user types:

[1179] Desired image: Spring

[1180] Characters to use: Flower

[1181] Favorite actor's name: Sakurada

[1182] Server Action:

[1183] 1. Generate name candidates containing "flower" and "sakura" from a list of legally allowed characters. For example, "Hanako" and "Haruzakura" are listed.

[1184] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the characteristics of "Hanako" are considered to be auspicious.

[1185] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1186] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1187] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1188] 6. The user can review the suggested names and, if necessary, enter the desired criteria again to continue generating new candidates.

[1189] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1190] Step 1:

[1191] Users access the system using a terminal and input their desired image and preferences. Input methods include keyboard, touch screen, and voice input. For example, if a user inputs "spring," "flowers," or "cherry blossom fields," that data is sent from the terminal to the server. Input: The user's desired image and preferences. Output: The desired data sent to the server.

[1192] Step 2:

[1193] The server reads the list of legally usable characters from the database and initializes the characters that can be used in the system. This list is updated periodically. Specifically, the server retrieves the latest character list from the database and stores it in memory. Input: Character list from the database. Output: Character data stored in the server's memory.

[1194] Step 3:

[1195] The server analyzes the user's desired data and compares it with the list of available characters. For example, if the desired characters are "spring" and "flower," it generates name candidates that include those characters (e.g., Hanako, Haruka, etc.). The generated candidates are saved in a temporary list. Input: The user's desired data and the list of available characters. Output: A list of name candidates.

[1196] Step 4:

[1197] The server evaluates the name fortune-telling characteristics of the generated name candidates. Specifically, it calculates the number of strokes in each character of the name and assigns a score to judge whether it is good or bad luck based on that number of strokes. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, and these scores are combined and evaluated. Input: List of name candidates. Output: Name fortune-telling score.

[1198] Step 5:

[1199] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. Specifically, it determines that "Hanako" is a name that has been used for a long time and is highly popular. Input: List of name candidates. Output: Evaluation data for name meanings, origins, and popularity.

[1200] Step 6:

[1201] The emotion recognition engine installed on the device recognizes emotions from the user's facial expressions and voice. The camera and microphone capture the user's reactions when looking at or speaking the name candidates, and this data is sent to the server. Specific actions include detecting the user's reaction when they see "Hanako" and smile. Input: User's facial expressions and voice data. Output: Emotion recognition results.

[1202] Step 7:

[1203] The server analyzes data from the emotion engine and prioritizes name candidates to which the user has a positive reaction. For example, if the user smiles at "Hanako," names with similar characters and meanings will be prioritized and listed. Input: Emotion recognition results and a list of name candidates. Output: A refined list of name candidates.

[1204] Step 8:

[1205] The server calculates an overall score based on the evaluation results of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Name candidates are listed in descending order of overall score and presented to the user. Specifically, all evaluation results are integrated to calculate a score, and the most suitable names are displayed as special recommendations. Input: All evaluation results. Output: Overall score and list of name candidates.

[1206] Step 9:

[1207] The user checks the name candidates presented, and if they are not satisfied, they can re-enter their desired image and preferences and reconsider. At this time, the user inputs new conditions, and the server processes again. Specifically, the user inputs new preferences such as "Summer," "Umi," or "Sakata," and new name candidates are generated. Input: Data re-entered by the user. Output: New list of name candidates.

[1208] (Application example 2)

[1209] 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."

[1210] While conventional child naming systems take into account the user's preferences and preferences, they are unable to reflect emotional feedback in real time. This makes it difficult to accurately suggest names that the user actually prefers. Furthermore, while there is a demand for services provided in brick-and-mortar stores that reflect real-time feedback, there is currently no way to achieve this.

[1211] The identification process by the identification 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 an input means for inputting the user's desired image and preferences, a means for reading a list of available kanji characters defined by the Ministry of Justice, a means for analyzing the input information and generating name candidates from the list of available kanji characters, a means for evaluating the strokes of the generated name candidates based on name fortune-telling, a means for evaluating the meaning of the kanji characters and the origin of the name, a means for recognizing emotions from the user's facial expressions and voice, a means for preferentially suggesting name candidates preferred by the user based on the results of emotion recognition, and a means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This enables more accurate name suggestions that reflect the user's real-time emotional feedback.

[1212] "Input means for inputting the user's desired image and preferences" refers to a device or interface for inputting the user's desired image, kanji characters, and other preferences into the system. This includes keyboards, touch screens, voice input, etc.

[1213] "Means for reading the list of usable kanji characters established by the Ministry of Justice" refers to a system component for obtaining and reading the list of usable kanji characters established by the Ministry of Justice. This includes kanji lists stored on a server or in a database.

[1214] "Means for analyzing input information and generating name candidates from a list of available kanji characters" refers to an algorithm or computer program that analyzes the information about the user's wishes and preferences input and generates name candidates from a list of available kanji characters based on that information.

[1215] The "means for evaluating the number of strokes in the kanji characters for the generated name candidates" is a computer program or algorithm for calculating and evaluating the number of strokes in the kanji characters for the generated name candidates.

[1216] The "means for evaluating the meaning of kanji and the origin of names" refers to a computer program or algorithm that retrieves the meaning of kanji and the origin of names contained in the generated name candidates from a database and performs evaluation based on that information.

[1217] The "means for recognizing emotions from a user's facial expression and voice" refers to a device and computer program for analyzing a user's facial expression and voice to recognize their emotional state, including a camera and microphone mounted on the smart glasses, and an emotion analysis algorithm.

[1218] "Means for preferentially suggesting name candidates that the user prefers based on the results of emotion recognition" refers to a computer program or algorithm for preferentially selecting and suggesting name candidates that the user prefers based on the results of emotion recognition.

[1219] "Means for comprehensively calculating each evaluation and suggesting the most suitable name to the user" refers to a computer program or algorithm for comprehensively calculating each evaluation result and suggesting the most suitable name to the user based on the result.

[1220] This invention is a system that suggests appropriate names by comprehensively considering the user's desired image and preferences, legally usable kanji, strokes in name fortune-telling, the meaning of the kanji, the origin of the name, and the results of emotion recognition. An embodiment of this system will be described below.

[1221] System configuration

[1222] The invention includes the following major components:

[1223] Input Method

[1224] It is a means for users to input their desired image and preferences (for example, the kanji they want to use, the season, their favorite entertainer, etc.). Input methods include keyboards, touch screens, and voice input. This input device is connected to a user terminal.

[1225] Loading the Kanji List

[1226] This is a method of initializing the kanji available in the system by reading the list of available kanji defined by the Ministry of Justice from a database. This list is updated periodically and managed on the server.

[1227] Name candidate generation

[1228] It is a method of analyzing the user's preferences and preferences and generating name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names that include those kanji characters (e.g., Hanako, Haruka, etc.). This process is performed on the server.

[1229] Evaluation of fortune-telling by name

[1230] This is a method for evaluating the strokes of the generated name candidates in the name fortune-telling system. The server calculates the number of strokes for each kanji character and assigns a score to determine whether the character is good or bad luck based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1231] Kanji meaning and name origin evaluation

[1232] This is a means of referencing a database that evaluates the meanings of the kanji characters included in the generated name candidates, and evaluating them based on the origin and popularity of the names. This process is also performed on the server.

[1233] Emotion Engine

[1234] emotion recognition

[1235] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice. The device uses a camera and microphone built into the smart glasses to capture the user's facial expressions and voice, and then uses an emotion analysis algorithm to determine the user's emotions in real time.

[1236] Adjusting name suggestions

[1237] The server has a means to prioritize name candidates that the user prefers based on the emotion recognition results. For example, if the user has a positive reaction to "Hanako," the server will prioritize other names with similar kanji and meanings.

[1238] Overall rating and name suggestions

[1239] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition, and lists the candidate names in descending order of overall score. The top name is then recommended to the user.

[1240] Specific examples

[1241] For example, a user might enter a preference like this:

[1242] Desired image: Spring

[1243] Kanji I want to use: Flower

[1244] Favorite actor's name: Sakurada

[1245] The system proceeds as follows:

[1246] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[1247] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[1248] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1249] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1250] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1251] Example prompt sentence:

[1252] "When choosing a name for my child, I would like to evoke the image of 'spring' and incorporate the kanji characters 'flower' and 'sakurada'. Please suggest the best name based on this."

[1253] This invention enables users to efficiently receive name candidates that reflect their own wishes and preferences as well as real-time emotional feedback.

[1254] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1255] Step 1:

[1256] The user inputs their desired image and preferences via the terminal. Input methods include a keyboard, touch screen, or voice input, and the input information includes the desired image of the name and the kanji they want to use. For example, specific preferences such as "spring" or "flowers" can be input. The input information is then sent to the server.

[1257] Step 2:

[1258] The server loads the list of available kanji characters specified by the Ministry of Justice from a database. This kanji list is updated periodically, and the latest information is used. The server stores this list in memory in an analyzable format. The loaded kanji list is then used in the subsequent name candidate generation process.

[1259] Step 3:

[1260] The server analyzes the information entered by the user and generates name candidates from a list of available kanji characters. Specifically, it lists names containing the desired kanji characters, such as "spring" or "flower," and generates multiple name candidates. The generated name candidates then go through a more detailed evaluation process.

[1261] Step 4:

[1262] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score based on that to evaluate whether the name is good or bad. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, so the overall evaluation is "good." The evaluation results are saved for each name candidate.

[1263] Step 5:

[1264] The server refers to a database for evaluating the meaning of kanji and the origin of names. It obtains the meaning of the kanji contained in each name candidate, the origin of the name, and its popularity, and evaluates it based on these. For example, the name "Hanako" is evaluated as meaning "a child who grows up like a beautiful flower" and as being highly popular. The evaluation results are saved for each name candidate.

[1265] Step 6:

[1266] The device is equipped with a camera and microphone to recognize emotions from the user's facial expressions and voice. When the user expresses their facial expressions or reactions to the name candidates, the emotion recognition algorithm analyzes the data and determines whether the user's reaction is positive or negative. The recognition results are immediately sent to the server.

[1267] Step 7:

[1268] Based on the results of emotion recognition, the server prioritizes and suggests name candidates that the user prefers. For example, if the user has a positive reaction to "Hanako," names with similar kanji and meanings (e.g., "Haruka") will be prioritized in the list. The order of suggested names is dynamically updated based on the results of emotion recognition.

[1269] Step 8:

[1270] The server comprehensively calculates the evaluation of the name fortune-telling, the meaning of the kanji, the origin of the name, and the evaluation of emotion recognition, and lists the name candidates in order of the highest overall score. The most suitable name candidate is displayed on the terminal as a recommendation to the user. For example, if "Hanako" has the highest score, it will be especially recommended.

[1271] Step 9:

[1272] The user can review the suggested name candidates and, if necessary, input their desired image and preferences again to generate new candidates. This process can be repeated until the user is satisfied.

[1273] 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.

[1274] 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.

[1275] 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.

[1276] [Fourth embodiment]

[1277] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1278] 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.

[1279] 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).

[1280] 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.

[1281] 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.

[1282] 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).

[1283] 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.

[1284] 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.

[1285] 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.

[1286] 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.

[1287] 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.

[1288] 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.

[1289] 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."

[1290] This invention is a system that suggests appropriate names from multiple perspectives when deciding on a child's name, such as the user's desired image and preferences, legally usable kanji, character strokes in fortune-telling, the origin of the name, and popularity.

[1291] System configuration

[1292] Input Method

[1293] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[1294] Loading the Kanji List

[1295] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[1296] Name candidate generation

[1297] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[1298] Evaluation of fortune-telling by name

[1299] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes in each kanji and assigns a score to determine whether the name is a good or bad luck. For example, in the case of "Hanako," the "hana" (flower) has seven strokes and the "ko" (child) has three strokes, so the name is evaluated as being a good luck overall.

[1300] Kanji meaning and name origin evaluation

[1301] The server refers to a database of kanji meanings to evaluate the meaning of each candidate name's kanji, and also refers to a database of name origins and popularity to evaluate the name's background and how popular it is.

[1302] Overall rating and name suggestions

[1303] The server calculates a comprehensive score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and its popularity. This allows the server to suggest the most suitable name to the user. The suggestions are displayed on the screen, and the user can check the results.

[1304] Reconsidering the name

[1305] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[1306] Specific examples

[1307] For example, if the user types:

[1308] Desired image: Spring

[1309] Kanji I want to use: Flower

[1310] Favorite actor's name: Sakurada

[1311] Server Action:

[1312] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[1313] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[1314] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1315] 4. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1316] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[1317] The processing flow will be explained below.

[1318] Step 1:

[1319] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database. This list is updated periodically.

[1320] Step 2:

[1321] The terminal displays a form for the user to input the desired image and preferences, such as the kanji characters they want to use, the season, their favorite actors, etc.

[1322] Step 3:

[1323] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[1324] Step 4:

[1325] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[1326] Step 5:

[1327] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1328] Step 6:

[1329] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1330] Step 7:

[1331] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, and popularity. Candidate names are listed in descending order of overall score, and the top names are recommended and suggested to the user.

[1332] Step 8:

[1333] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[1334] Step 9:

[1335] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[1336] Step 10:

[1337] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[1338] Through the above steps, the user can efficiently determine the optimal name that reflects the desired image and preferences.

[1339] Example 1

[1340] 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."

[1341] The present invention relates to a system that, when choosing a name for a child, suggests an appropriate name comprehensively from multiple perspectives, such as legally usable characters, strokes in surname analysis, the origin of the name, and popularity, while reflecting the user's desired image and characteristics. Conventional name selection methods have difficulty taking all of these factors into consideration, and users often select names subjectively. As a result, there is a risk of later dissatisfaction or choosing a name that is problematic in surname analysis.

[1342] 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.

[1343] In this invention, the server includes means for inputting the user's desired image and characteristics, means for reading a list of available characters determined by the legal department, means for analyzing the input information and generating name candidates from the list of available characters, means for evaluating the strokes of the generated name candidates based on fortune-telling, means for evaluating the meanings of the characters and the origins of the names, means for obtaining and evaluating the popularity of the generated name candidates from a database, and means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This allows the user to consider multiple factors simultaneously and efficiently select a more comprehensively appropriate name.

[1344] "User" refers to a person who utilizes the system to provide input and receive name selection suggestions.

[1345] "Desired image or characteristics" refers to specific factors or conditions that users want to consider when selecting a name, such as a specific character, a season, or the name of a favorite actor.

[1346] A "legal department list of acceptable characters" is a list of characters that can legally be used in names, established by an official body such as the legal department.

[1347] "Input means" refers to the device or interface through which a user inputs desired images or characteristics into the system, including keyboards, touchscreens, and voice input devices.

[1348] "Means of reading" refers to a function for obtaining a list of usable characters determined by the legal department from a database, etc.

[1349] "Means of analysis" refers to the functionality for analyzing the information entered by the user and generating appropriate name candidates, including natural language processing libraries and analysis algorithms.

[1350] "Means for generating name candidates" refers to functionality for creating name candidates from the list of available characters based on the parsed information.

[1351] "Means for evaluating strokes in name fortune-telling" refers to a function that calculates the number of strokes in each character of the generated name candidates and evaluates their good or bad luck based on name fortune-telling.

[1352] "Means for evaluating the meaning of characters and the origin of a name" refers to a function for evaluating the meaning of the characters in the generated name candidates and the origin of the name.

[1353] "Means for obtaining and evaluating popularity from a database" refers to a function for obtaining the frequency of use and general recognition of generated name candidates from a database and evaluating them based on that information.

[1354] "A means of comprehensively calculating and proposing the most suitable name" refers to a function that compiles the evaluation results of name fortune-telling, meaning, origin, popularity, etc., and presents the name that is deemed most suitable for the user.

[1355] "Means for reconsideration" refers to a function that allows a user to input new conditions and generate name candidates again if they are not satisfied with the proposed name.

[1356] This invention is a system that provides an interface for users to input their desired image and characteristics, and suggests the most suitable name based on a list of legally usable characters and other data. This system operates using user terminals, a server, and various databases.

[1357] Implementing input methods

[1358] Users access the system's web interface using a terminal, such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.).

[1359] Users send their desired image and characteristics (e.g., the characters they want to use, the season they want to play, the name of their favorite actor, etc.) to the server through an input form. Input methods include keyboards, touchscreens, and voice input devices (e.g., Apple's Siri, Google Assistant).

[1360] Loading the Kanji List

[1361] The server loads the "allowed character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). This list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[1362] To retrieve the list, use an SQL query (e.g. SELECT FROM kanji_list WHERE usage='allowed').

[1363] Name candidate generation

[1364] The server analyzes the preferences and characteristics entered by the user using a natural language processing library (e.g., Python's NLTK).

[1365] Based on the user's desired characters and image, the system generates name candidates from a list of available characters. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[1366] The specific process involves using a Python script to parse user input and implement an algorithm that combines characters that match certain conditions to generate a name.

[1367] Evaluation of fortune-telling by name

[1368] The server calculates the stroke length of the generated name candidates and evaluates the fortune of each name using Python's Pandas library.

[1369] For example, in the name "Hanako," the "hana" (flower) has 7 strokes and the "ko" (child) has 3 strokes, so a total of 10 strokes is considered auspicious.

[1370] Character meaning and name origin evaluation

[1371] The server evaluates the meaning of the characters in each candidate name by consulting a character semantics database (e.g., MongoDB).

[1372] The system also refers to a database of names' origins and popularity to evaluate the background of the name and how popular it is. For example, in the case of "Hanako," it is confirmed that the name means "beautiful flower" and is highly popular.

[1373] Overall evaluation and proposals

[1374] The server calculates a comprehensive score by integrating the evaluation of the name, the meaning of the characters, the origin of the name, and the popularity of the name, and then suggests the most suitable name to the user based on this score.

[1375] Suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask). For example, the name "Hanako" with the highest overall score is presented to the user.

[1376] Review function

[1377] If the user is not satisfied with the suggested name, they can reconsider by inputting the desired image and characteristics.

[1378] The user can input new criteria and generate and suggest name candidates again.

[1379] Specific prompt examples

[1380] The generative AI model is fed a text prompt like this:

[1381] I want to use the image of "spring" and the character for "flower." My favorite actor is "Sakurada." Generate name candidates based on these, and rate each name's stroke rating, meaning, and popularity as a name.

[1382] The above is an embodiment of the present invention. This system takes into consideration the user's diverse desires and is able to propose the most suitable name overall.

[1383] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1384] Step 1:

[1385] Users access the system's web interface using a device such as a PC, smartphone, or tablet, and a web browser (e.g., Chrome, Safari, Firefox, etc.). The user sends the desired image and characteristics (e.g., the desired character "flower," the desired season "spring," the name of a favorite actor "Sakurada," etc.) to the server through an input form.

[1386] Input data: The desired image and characteristics entered by the user.

[1387] Output Data: User input information that is sent to the server.

[1388] Step 2:

[1389] The server loads the "allowable character list" defined by the legal department from a database (e.g., MySQL or PostgreSQL). The list includes the ID, character, number of strokes, etc. for each character, and is updated periodically.

[1390] Input data: Acceptable character list as determined by the legal department.

[1391] Output: A list of available characters retrieved from the database.

[1392] Step 3:

[1393] The server analyzes the preferences and characteristics entered by the user, specifically using a natural language processing library (e.g., Python's NLTK) to parse the user's input and extract information to generate appropriate name candidates.

[1394] Input data: The desired image and characteristics entered by the user.

[1395] Output data: Analyzed desired and characteristic information.

[1396] Step 4:

[1397] The server generates name candidates from a list of available characters based on the analyzed preferences and characteristics. For example, if the characters "spring" and "flower" are used, the system will list name candidates such as "Hanako" and "Haruka."

[1398] Input data: Parsed desired and characteristic information, available character list.

[1399] Output: A list of name candidates.

[1400] Step 5:

[1401] The server evaluates the number of strokes in the characters of the generated name candidates. It calculates the number of strokes for each character and calculates the total number of strokes. The evaluation uses Python's Pandas library and other tools.

[1402] Input data: A list of name candidates.

[1403] Output data: Stroke evaluation results for each name candidate.

[1404] Step 6:

[1405] The server evaluates the meaning of each character in each candidate name by referencing a character semantic database (e.g., MongoDB), and also by referencing a database of name origins and popularity to evaluate the name's background and popularity.

[1406] Input data: A list of name candidates.

[1407] Output data: Meaning and origin of each name candidate, and popularity rating results.

[1408] Step 7:

[1409] The server integrates the evaluations of the name, character meaning, name origin, and popularity to calculate an overall score. Based on this score, it suggests the most suitable name to the user. The suggestions are displayed on a web interface using a web application framework (e.g., Django, Flask).

[1410] Input data: Evaluation results of strokes, meaning, origin, and popularity of each name candidate.

[1411] Output: Overall score and best name candidate suggestions.

[1412] Step 8:

[1413] If the user is not satisfied with the proposed name, they can reconsider it by entering the desired image and characteristics. The user can enter new conditions and generate and suggest name candidates again.

[1414] Input Data: The desired image and characteristics are again input by the user.

[1415] Output: A regenerated list of name candidates and suggestions.

[1416] (Application example 1)

[1417] 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."

[1418] Conventional naming systems generate names based on the user's desired attributes and conditions, proposing name candidates from a limited perspective, making it difficult to meet diverse user needs. Furthermore, the evaluation of generated names is one-sided, requiring a more multifaceted evaluation. Therefore, there is a need for a system that improves the efficiency and appropriateness of the trademark and brand name determination process.

[1419] 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.

[1420] In this invention, the server includes an input means for inputting the attributes and conditions desired by the user, a means for reading a list of legally usable characters, a means for analyzing the input information and generating name candidates from the usable character list, a means for evaluating the fortune-telling strokes of the generated name candidates, a means for evaluating the meaning of the characters and the origin of the name, and a means for generating product or brand name candidates, calculating the overall evaluation of each evaluation, and suggesting the most suitable name to the user. This makes it possible to meet the diverse needs of users and improve the efficiency and appropriateness of the name decision-making process.

[1421] 1. "User desired attributes and conditions" refers to the specific keywords and images that users enter when deciding on a product or brand name.

[1422] 2. "Legal Character List" means a list of characters and kanji permitted for use by law or regulation.

[1423] 3. "Input means" refers to the interface used by the user to input desired attributes and conditions into the system, including keyboards, touchscreens, and voice input.

[1424] 4. "Means for generating name candidates" refers to a function that allows the system to generate appropriate name candidates from a list of available characters based on the input information.

[1425] 5. "Means for evaluating strokes in fortune evaluation" is a function that evaluates the fortune of generated name candidates based on the number of strokes in the characters and specific evaluation criteria.

[1426] 6. "Means for evaluating the meaning of characters and the origin of the name" refers to a function that analyzes and evaluates the meaning of each character in the generated name and the origin of the name.

[1427] 7. "Means for generating product or brand name candidates" refers to a function for generating appropriate product or brand name candidates based on attributes and conditions entered by the user.

[1428] 8. "Means for comprehensive calculation and suggestion" is a function that integrates the above evaluation results and presents the most suitable name to the user.

[1429] This invention is a system that generates product and brand name candidates based on attributes and conditions specified by a user, evaluates them from multiple perspectives, and proposes the most suitable name. Specific embodiments of this system are described below.

[1430] System configuration

[1431] This system is implemented using the following hardware and software:

[1432] 1. On the user's device:

[1433] A device that allows users to input attributes and conditions. Examples include smartphones, tablets, and PCs.

[1434] The user uses the terminal to input the necessary information using a keyboard, touch screen, voice input, or the like.

[1435] 2. Server:

[1436] This is the central component of the system and performs the following processes:

[1437] A database management system (DBMS) is used to manage databases of legally permitted characters, trademark information, and semantic information.

[1438] Using a generative AI model, name candidates are generated from input data and evaluated.

[1439] Processing flow

[1440] Input Method

[1441] Users access the system using a terminal and input desired attributes and conditions, such as the image of the product or brand name, the target market, the keywords they want to use, and the desired name style (modern, classic, etc.).

[1442] Loading the list of legally allowed characters

[1443] The server initializes the available character information by reading the latest legally available character list from a database, which is updated periodically.

[1444] Name candidate generation

[1445] The server analyzes the input preferences and conditions and uses a generative AI model to generate name candidates from a list of available characters. For example, if you input keywords such as "eco" or "green," it will generate names that include those keywords.

[1446] Fortune evaluation stroke evaluation

[1447] The number of strokes in each character is calculated for the generated name candidates to evaluate their fortune and give them a score based on the results.

[1448] Evaluation of the meaning of characters and the origin of names

[1449] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[1450] Overall rating and name suggestions

[1451] The server then calculates an overall score by integrating the evaluation results and suggests the most suitable name to the user, who can then check the results on their device screen.

[1452] Reconsidering the name

[1453] If the user is not satisfied with the proposed name, they can regenerate the name by entering the desired attributes and conditions again. This allows the user to generate and receive name candidates as many times as they like.

[1454] Specific examples

[1455] For example, if the user types:

[1456] Desired attribute: Environmentally friendly products

[1457] Keywords to use: Eco, Green

[1458] Server Action:

[1459] 1. Generate name candidates containing "eco" or "green" from the database. For example, "eco green" and "green eco" will be listed.

[1460] 2. The fortune of each candidate name is evaluated, and for example, the stroke evaluation of "Eco Green" is considered to be auspicious.

[1461] 3. The meaning and origin of the name are also evaluated. For example, it is confirmed that "Eco Green" means "environmentally friendly products" and is also widely used.

[1462] 4. Based on the overall score, "Eco Green" is suggested to the user as the most suitable name.

[1463] Example prompt sentence:

[1464] "This product is targeted at users looking for environmentally friendly products. Please suggest some suitable trademarkable product names that include the keywords eco and sustainable."

[1465] This allows the user to smoothly select the most suitable product name or brand name.

[1466] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1467] Step 1: Receive user input

[1468] The user accesses the system using a device (smartphone, tablet, PC) and inputs attributes and conditions such as the image of the product or brand name, the target market, the keywords they want to use, the taste of the desired name, etc. This information is received by the system's input means and used in the next step.

[1469] Input: The attributes or criteria entered by the user (e.g., "eco," "green," "modern," etc.).

[1470] Output: A list of the input attributes and conditions.

[1471] Step 2: Loading the list of legally allowed characters

[1472] The server reads the latest list of legally allowed characters from a database that is updated periodically so the server always has the most up-to-date information.

[1473] Input: A request to access the database.

[1474] Output: A list of legally usable characters.

[1475] Step 3: Generate name candidates

[1476] The server uses a generative AI model to analyze the user's input data and generate name candidates from a list of available characters. For example, based on the input keywords "eco" and "green," the system generates candidates such as "eco green" and "green eco."

[1477] Input: The entered attributes, conditions, and legally acceptable character list.

[1478] Output: A list of generated name candidates.

[1479] Step 4: Evaluate the strokes of your fortune-telling

[1480] The server calculates the strokes of each character in the generated name candidate to evaluate its fortune, and evaluates its luck based on the number of strokes of each character. The evaluation results are saved as a score.

[1481] Input: A list of generated name candidates.

[1482] Output: Fortune assessment scores for each candidate.

[1483] Step 5: Evaluate the meaning of the characters and the origin of the name

[1484] The server evaluates the meaning of each character in each candidate name by referencing a database of character meanings, and also evaluates the background and popularity of the name by referencing a database of name origins and popularity.

[1485] Input: Generated name candidate list, semantic database, origin database.

[1486] Output: Semantic and origin evaluation scores for each candidate.

[1487] Step 6: Overall rating and name suggestions

[1488] The server calculates an overall score by combining the fortune evaluation score, meaning score, and origin score for each candidate name, and suggests the most suitable name to the user. The suggestions are displayed on the device screen.

[1489] Input: fortune assessment score, meaning score, origin score.

[1490] Output: The best name and its overall score.

[1491] Step 7: Reconsider the name

[1492] If the user is not satisfied with the proposed name, they can re-enter the desired attributes and conditions and the system will regenerate the name. This step repeats steps 1 to 6.

[1493] Input: Attributes and conditions for re-entry by the user.

[1494] Output: A list of newly generated name candidates and their evaluation scores.

[1495] This allows the user to generate and receive suggestions for name candidates any number of times, and to obtain satisfactory results.

[1496] 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.

[1497] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable kanji, the strokes of the characters in fortune-telling, the origin of the name, its popularity, and even the user's emotional state.

[1498] System configuration

[1499] Input Method

[1500] Users access the system using a terminal and input their desired image and preferences (for example, the kanji they want to use, the season, their favorite celebrity, etc.) Input methods include keyboards, touchscreens, and voice input.

[1501] Loading the Kanji List

[1502] The server reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[1503] Name candidate generation

[1504] The server analyzes the input preferences and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names containing those kanji characters (e.g., Hanako, Haruka, etc.).

[1505] Evaluation of fortune-telling by name

[1506] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1507] Kanji meaning and name origin evaluation

[1508] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1509] Introducing the Emotion Engine

[1510] emotion recognition

[1511] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[1512] Adjusting name suggestions

[1513] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar kanji and meanings will be prioritized.

[1514] Overall rating and name suggestions

[1515] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[1516] Reconsidering the name

[1517] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[1518] Specific examples

[1519] For example, if the user types:

[1520] Desired image: Spring

[1521] Kanji I want to use: Flower

[1522] Favorite actor's name: Sakurada

[1523] Server Action:

[1524] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[1525] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[1526] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1527] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1528] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1529] The user can review the suggested names and, if necessary, enter their desired conditions again to continue generating new candidates, allowing the user to efficiently select the name that best suits their needs.

[1530] The processing flow will be explained below.

[1531] Step 1:

[1532] The server initializes the system. It reads the list of available kanji characters set by the Ministry of Justice from the database and initializes the available kanji characters in the system. This list is updated periodically.

[1533] Step 2:

[1534] The terminal displays a form for the user to input their desired image and preferences, such as the kanji they want to use, the season, their favorite celebrity, and other information.

[1535] Step 3:

[1536] The user enters the desired image and preferences and submits the input form, which then sends the entered information from the device to the server.

[1537] Step 4:

[1538] The server analyzes the received information and generates name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," the server will list name candidates such as "Haruka" and "Hanako."

[1539] Step 5:

[1540] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score to determine whether the name is good or bad based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1541] Step 6:

[1542] The server refers to a database of kanji meanings and evaluates the meaning of the kanji contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1543] Step 7:

[1544] The device uses an emotion engine to recognize emotions from the user's facial expressions and voice. It senses the user's facial expressions and reactions when looking at a name candidate and determines whether they like it or not. For example, if the user smiles when they see "Hanako," it will be recognized as a positive reaction.

[1545] Step 8:

[1546] The server prioritizes name suggestions based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," it will prioritize suggestions of names with similar kanji and meanings, such as "Haruka" and "Sakuraka."

[1547] Step 9:

[1548] The server calculates an overall score based on the name fortune-telling, the meaning of the kanji, the origin of the name, its popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended to the user.

[1549] Step 10:

[1550] The device will display a list of suggested names to the user, who can then review the suggested names and, if necessary, enter additional preferences or conditions to receive more name suggestions.

[1551] Step 11:

[1552] The user again inputs the desired image and preferences and sends them from the device to the server, which then performs the process of generating and suggesting name candidates.

[1553] Step 12:

[1554] The user can finally select a name that satisfies him / her, and can then save or print the selected name on the terminal.

[1555] Through the above steps, the user can efficiently determine the most suitable name that reflects the desired image, preferences, and even emotional state.

[1556] Example 2

[1557] 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."

[1558] When deciding on a name for a child, there is a need to suggest an appropriate name that reflects the user's desired image and preferences, while taking into consideration a variety of factors, including legally usable characters, the characteristics of fortune-telling based on names, the origin and popularity of the name, and even the user's emotional state. However, with conventional technology, it has been difficult to comprehensively evaluate all of these factors and suggest the optimal name.

[1559] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for inputting the user's desired image and preferences, a means for reading a list of available characters, a means for analyzing the input information and generating name candidates from the list of available characters, a means for evaluating the symbol characteristics of the generated name candidates, a means for evaluating the meaning of characters and the origin of the name, a means for recognizing the user's emotions, a means for adjusting the name candidates based on the emotion recognition results, and a means for comprehensively calculating each evaluation and the emotion recognition results and suggesting the most suitable name to the user. This makes it possible to provide optimal name candidates that reflect the user's wishes and emotions.

[1560] A "user" is an individual who uses the system to input their desired image and preferences and receive suitable name suggestions.

[1561] "Input means" refers to a means by which a user inputs information into the system, and includes a keyboard, a touch screen, voice input, etc.

[1562] "Allowable Character List" is a list of legally usable characters that is used within the system when generating name candidates.

[1563] "Means for reading" refers to the means by which the system imports data from the outside, and refers to the function of obtaining a list of available characters from a database.

[1564] The "means for generating" is a function for generating name candidates from a list of available characters based on the input information.

[1565] "Symbol characteristics" refers to the components, such as lines and dots, of each character in a name, and includes, for example, an assessment of the number of strokes.

[1566] "Means for evaluating" refers to a method or device for determining the appropriateness of generated name candidates.

[1567] The "meaning of the letters" refers to the inherent significance of each letter used in a name.

[1568] "Name origin" is information about how a name began to be used historically and what its origins are.

[1569] "Means for recognizing emotions" refers to means for analyzing and determining the emotional state of a user from their facial expressions and voice.

[1570] The "adjustment means" is a function for changing the priority of name candidates based on the results of emotion recognition and suggesting appropriate names to the user.

[1571] "Comprehensive calculation" means combining the results of multiple evaluations to calculate a final score.

[1572] The "means for suggesting" is a function for displaying the most suitable name based on the calculation results to the user and prompting them to select it.

[1573] This invention is a system that suggests appropriate names when deciding on a child's name by taking into consideration various factors, such as the user's desired image and preferences, legally usable characters, the characteristics of fortune-telling based on names, the origin of the name, its popularity, and even the user's emotional state.

[1574] System configuration

[1575] Input Method

[1576] Users access the system using a terminal and input their desired image and preferences (for example, the characters they want to use, the season, their favorite actors, etc.) Input methods include keyboards, touchscreens, and voice input.

[1577] Loading a character list

[1578] The server reads the list of legally allowed characters from a database and initializes the characters allowed in the system. This list is updated periodically.

[1579] Name candidate generation

[1580] The server analyzes the input preferences and generates name candidates from a list of available characters. For example, if the user requests the characters "spring" and "flower," it will list names containing those characters (e.g., Hanako, Haruka, etc.).

[1581] Evaluation of fortune-telling by name

[1582] The server evaluates the name candidates it generates for fortune-telling. It calculates the number of strokes for each character and assigns a score based on that number to determine whether the name is good or bad. For example, in the case of "Hanako," the character "hana" has seven strokes and the character "ko" has three strokes, so the overall evaluation is "good."

[1583] Character meaning and name origin evaluation

[1584] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. For example, "Hanako" is a name that has been used for a long time and is evaluated as being highly popular.

[1585] Introducing the Emotion Engine

[1586] emotion recognition

[1587] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice, and senses the user's facial expressions and reactions when looking at name candidates to determine whether they like or dislike them.

[1588] Adjusting name suggestions

[1589] The server prioritizes name candidates that the user prefers based on the emotion recognition results obtained from the emotion engine. For example, if the user has a positive reaction to "Hanako," other candidates with similar characters and meanings will be prioritized.

[1590] Overall rating and name suggestions

[1591] The server calculates an overall score based on the evaluation of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Candidate names are listed in descending order of overall score, and the top name is recommended and suggested to the user.

[1592] Reconsidering the name

[1593] If the user is not satisfied with the suggested name, they can re-enter their desired image and preferences and reconsider. This allows the user to receive name candidates and suggestions as many times as they like.

[1594] Specific examples

[1595] For example, if the user types:

[1596] Desired image: Spring

[1597] Characters to use: Flower

[1598] Favorite actor's name: Sakurada

[1599] Server Action:

[1600] 1. Generate name candidates containing "flower" and "sakura" from a list of legally allowed characters. For example, "Hanako" and "Haruzakura" are listed.

[1601] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the characteristics of "Hanako" are considered to be auspicious.

[1602] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1603] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1604] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1605] 6. The user can review the suggested names and, if necessary, enter the desired criteria again to continue generating new candidates.

[1606] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1607] Step 1:

[1608] Users access the system using a terminal and input their desired image and preferences. Input methods include keyboard, touch screen, and voice input. For example, if a user inputs "spring," "flowers," or "cherry blossom fields," that data is sent from the terminal to the server. Input: The user's desired image and preferences. Output: The desired data sent to the server.

[1609] Step 2:

[1610] The server reads the list of legally usable characters from the database and initializes the characters that can be used in the system. This list is updated periodically. Specifically, the server retrieves the latest character list from the database and stores it in memory. Input: Character list from the database. Output: Character data stored in the server's memory.

[1611] Step 3:

[1612] The server analyzes the user's desired data and compares it with the list of available characters. For example, if the desired characters are "spring" and "flower," it generates name candidates that include those characters (e.g., Hanako, Haruka, etc.). The generated candidates are saved in a temporary list. Input: The user's desired data and the list of available characters. Output: A list of name candidates.

[1613] Step 4:

[1614] The server evaluates the name fortune-telling characteristics of the generated name candidates. Specifically, it calculates the number of strokes in each character of the name and assigns a score to judge whether it is good or bad luck based on that number of strokes. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, and these scores are combined and evaluated. Input: List of name candidates. Output: Name fortune-telling score.

[1615] Step 5:

[1616] The server refers to a database of character meanings and evaluates the meaning of the characters contained in each candidate name. It also refers to a database of name origins and popularity and evaluates this information. Specifically, it determines that "Hanako" is a name that has been used for a long time and is highly popular. Input: List of name candidates. Output: Evaluation data for name meanings, origins, and popularity.

[1617] Step 6:

[1618] The emotion recognition engine installed on the device recognizes emotions from the user's facial expressions and voice. The camera and microphone capture the user's reactions when looking at or speaking the name candidates, and this data is sent to the server. Specific actions include detecting the user's reaction when they see "Hanako" and smile. Input: User's facial expressions and voice data. Output: Emotion recognition results.

[1619] Step 7:

[1620] The server analyzes data from the emotion engine and prioritizes name candidates to which the user has a positive reaction. For example, if the user smiles at "Hanako," names with similar characters and meanings will be prioritized and listed. Input: Emotion recognition results and a list of name candidates. Output: A refined list of name candidates.

[1621] Step 8:

[1622] The server calculates an overall score based on the evaluation results of name fortune-telling, character meaning, name origin, popularity, and emotion recognition. Name candidates are listed in descending order of overall score and presented to the user. Specifically, all evaluation results are integrated to calculate a score, and the most suitable names are displayed as special recommendations. Input: All evaluation results. Output: Overall score and list of name candidates.

[1623] Step 9:

[1624] The user checks the name candidates presented, and if they are not satisfied, they can re-enter their desired image and preferences and reconsider. At this time, the user inputs new conditions, and the server processes again. Specifically, the user inputs new preferences such as "Summer," "Umi," or "Sakata," and new name candidates are generated. Input: Data re-entered by the user. Output: New list of name candidates.

[1625] (Application example 2)

[1626] 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."

[1627] While conventional child naming systems take into account the user's preferences and preferences, they are unable to reflect emotional feedback in real time. This makes it difficult to accurately suggest names that the user actually prefers. Furthermore, while there is a demand for services provided in brick-and-mortar stores that reflect real-time feedback, there is currently no way to achieve this.

[1628] The identification process by the identification 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 an input means for inputting the user's desired image and preferences, a means for reading a list of available kanji characters defined by the Ministry of Justice, a means for analyzing the input information and generating name candidates from the list of available kanji characters, a means for evaluating the strokes of the generated name candidates based on name fortune-telling, a means for evaluating the meaning of the kanji characters and the origin of the name, a means for recognizing emotions from the user's facial expressions and voice, a means for preferentially suggesting name candidates preferred by the user based on the results of emotion recognition, and a means for comprehensively calculating each evaluation and suggesting the most suitable name to the user. This enables more accurate name suggestions that reflect the user's real-time emotional feedback.

[1629] "Input means for inputting the user's desired image and preferences" refers to a device or interface for inputting the user's desired image, kanji characters, and other preferences into the system. This includes keyboards, touch screens, voice input, etc.

[1630] "Means for reading the list of usable kanji characters established by the Ministry of Justice" refers to a system component for obtaining and reading the list of usable kanji characters established by the Ministry of Justice. This includes kanji lists stored on a server or in a database.

[1631] "Means for analyzing input information and generating name candidates from a list of available kanji characters" refers to an algorithm or computer program that analyzes the information about the user's wishes and preferences input and generates name candidates from a list of available kanji characters based on that information.

[1632] The "means for evaluating the number of strokes in the kanji characters for the generated name candidates" is a computer program or algorithm for calculating and evaluating the number of strokes in the kanji characters for the generated name candidates.

[1633] The "means for evaluating the meaning of kanji and the origin of names" refers to a computer program or algorithm that retrieves the meaning of kanji and the origin of names contained in the generated name candidates from a database and performs evaluation based on that information.

[1634] The "means for recognizing emotions from a user's facial expression and voice" refers to a device and computer program for analyzing a user's facial expression and voice to recognize their emotional state, including a camera and microphone mounted on the smart glasses, and an emotion analysis algorithm.

[1635] "Means for preferentially suggesting name candidates that the user prefers based on the results of emotion recognition" refers to a computer program or algorithm for preferentially selecting and suggesting name candidates that the user prefers based on the results of emotion recognition.

[1636] "Means for comprehensively calculating each evaluation and suggesting the most suitable name to the user" refers to a computer program or algorithm for comprehensively calculating each evaluation result and suggesting the most suitable name to the user based on the result.

[1637] This invention is a system that suggests appropriate names by comprehensively considering the user's desired image and preferences, legally usable kanji, strokes in name fortune-telling, the meaning of the kanji, the origin of the name, and the results of emotion recognition. An embodiment of this system will be described below.

[1638] System configuration

[1639] The invention includes the following major components:

[1640] Input Method

[1641] It is a means for users to input their desired image and preferences (for example, the kanji they want to use, the season, their favorite entertainer, etc.). Input methods include keyboards, touch screens, and voice input. This input device is connected to a user terminal.

[1642] Loading the Kanji List

[1643] This is a method of initializing the kanji available in the system by reading the list of available kanji defined by the Ministry of Justice from a database. This list is updated periodically and managed on the server.

[1644] Name candidate generation

[1645] It is a method of analyzing the user's preferences and preferences and generating name candidates from a list of available kanji characters. For example, if the user requests the kanji characters "spring" and "flower," it will list names that include those kanji characters (e.g., Hanako, Haruka, etc.). This process is performed on the server.

[1646] Evaluation of fortune-telling by name

[1647] This is a method for evaluating the strokes of the generated name candidates in the name fortune-telling system. The server calculates the number of strokes for each kanji character and assigns a score to determine whether the character is good or bad luck based on the number of strokes. For example, in the case of "Hanako," the character "hana" has 7 strokes and the character "ko" has 3 strokes, so the overall evaluation is "good luck."

[1648] Kanji meaning and name origin evaluation

[1649] This is a means of referencing a database that evaluates the meanings of the kanji characters included in the generated name candidates, and evaluating them based on the origin and popularity of the names. This process is also performed on the server.

[1650] Emotion Engine

[1651] emotion recognition

[1652] The device is equipped with an emotion engine that recognizes emotions from the user's facial expressions and voice. The device uses a camera and microphone built into the smart glasses to capture the user's facial expressions and voice, and then uses an emotion analysis algorithm to determine the user's emotions in real time.

[1653] Adjusting name suggestions

[1654] The server has a means to prioritize name candidates that the user prefers based on the emotion recognition results. For example, if the user has a positive reaction to "Hanako," the server will prioritize other names with similar kanji and meanings.

[1655] Overall rating and name suggestions

[1656] The server calculates an overall score based on the evaluation of name fortune-telling, the meaning of the kanji, the origin of the name, popularity, and emotion recognition, and lists the candidate names in descending order of overall score. The top name is then recommended to the user.

[1657] Specific examples

[1658] For example, a user might enter a preference like this:

[1659] Desired image: Spring

[1660] Kanji I want to use: Flower

[1661] Favorite actor's name: Sakurada

[1662] The system proceeds as follows:

[1663] 1. Generate name candidates containing "flower" and "sakura" from a list of kanji characters established by the Ministry of Justice. For example, "Hanako" and "Haruzakura" are listed.

[1664] 2. Each candidate name is evaluated based on the name fortune-telling, and for example, the stroke evaluation of "Hanako" is considered auspicious.

[1665] 3. The origin and popularity of the name are also evaluated. For example, the meaning of "Hanako" is "a child who grows up to be a beautiful flower," and it is confirmed that the name is highly popular.

[1666] 4. The emotion engine detects positive reactions from the user's facial expressions and voice, and "Hanako" is especially recommended.

[1667] 5. Based on the overall score, "Hanako" is suggested to the user as the most suitable name.

[1668] Example prompt sentence:

[1669] "When choosing a name for my child, I would like to evoke the image of 'spring' and incorporate the kanji characters 'flower' and 'sakurada'. Please suggest the best name based on this."

[1670] This invention enables users to efficiently receive name candidates that reflect their own wishes and preferences as well as real-time emotional feedback.

[1671] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1672] Step 1:

[1673] The user inputs their desired image and preferences via the terminal. Input methods include a keyboard, touch screen, or voice input, and the input information includes the desired image of the name and the kanji they want to use. For example, specific preferences such as "spring" or "flowers" can be input. The input information is then sent to the server.

[1674] Step 2:

[1675] The server loads the list of available kanji characters specified by the Ministry of Justice from a database. This kanji list is updated periodically, and the latest information is used. The server stores this list in memory in an analyzable format. The loaded kanji list is then used in the subsequent name candidate generation process.

[1676] Step 3:

[1677] The server analyzes the information entered by the user and generates name candidates from a list of available kanji characters. Specifically, it lists names containing the desired kanji characters, such as "spring" or "flower," and generates multiple name candidates. The generated name candidates then go through a more detailed evaluation process.

[1678] Step 4:

[1679] The server evaluates the number of strokes in the characters of the generated name candidates based on the fortune-telling of names. It calculates the number of strokes for each kanji and assigns a score based on that to evaluate whether the name is good or bad. For example, in the case of "Hanako," "hana" has 7 strokes and "ko" has 3 strokes, so the overall evaluation is "good." The evaluation results are saved for each name candidate.

[1680] Step 5:

[1681] The server refers to a database for evaluating the meaning of kanji and the origin of names. It obtains the meaning of the kanji contained in each name candidate, the origin of the name, and its popularity, and evaluates it based on these. For example, the name "Hanako" is evaluated as meaning "a child who grows up like a beautiful flower" and as being highly popular. The evaluation results are saved for each name candidate.

[1682] Step 6:

[1683] The device is equipped with a camera and microphone to recognize emotions from the user's facial expressions and voice. When the user expresses their facial expressions or reactions to the name candidates, the emotion recognition algorithm analyzes the data and determines whether the user's reaction is positive or negative. The recognition results are immediately sent to the server.

[1684] Step 7:

[1685] Based on the results of emotion recognition, the server prioritizes and suggests name candidates that the user prefers. For example, if the user has a positive reaction to "Hanako," names with similar kanji and meanings (e.g., "Haruka") will be prioritized in the list. The order of suggested names is dynamically updated based on the results of emotion recognition.

[1686] Step 8:

[1687] The server comprehensively calculates the evaluation of the name fortune-telling, the meaning of the kanji, the origin of the name, and the evaluation of emotion recognition, and lists the name candidates in order of the highest overall score. The most suitable name candidate is displayed on the terminal as a recommendation to the user. For example, if "Hanako" has the highest score, it will be especially recommended.

[1688] Step 9:

[1689] The user can review the suggested name candidates and, if necessary, input their desired image and preferences again to generate new candidates. This process can be repeated until the user is satisfied.

[1690] 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.

[1691] 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.

[1692] 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.

[1693] 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.

[1694] 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.

[1695] 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.

[1696] 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).

[1697] 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, motorcycles, and other devices, 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.

[1698] 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."

[1699] 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.

[1700] 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).

[1701] 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.

[1702] 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.

[1703] 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.

[1704] 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.

[1705] 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.

[1706] 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.

[1707] 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.

[1708] 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.

[1709] 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.

[1710] 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.

[1711] The following is further disclosed regarding the above embodiment.

[1712] (Claim 1)

[1713] An input means for inputting the user's desired image and preferences;

[1714] A means to read the list of available kanji characters set by the Ministry of Justice,

[1715] A means for analyzing the input information and generating name candidates from a list of available kanji characters;

[1716] A means for evaluating the strokes of the generated name candidates for name fortune-telling;

[1717] a means of assessing the meaning of kanji and the origin of names;

[1718] A means for comprehensively calculating each evaluation and suggesting the most suitable name to the user;

[1719] A system including:

[1720] (Claim 2)

[1721] 2. The system of claim 1, further comprising means for re-inputting a desired image or preference and reviewing the proposed name.

[1722] (Claim 3)

[1723] 2. The system of claim 1, further comprising means for obtaining name popularity from a database and evaluating the popularity of each name candidate.

[1724] "Example 1"

[1725] (Claim 1)

[1726] a means for inputting the user's desired image and characteristics;

[1727] a means for loading a list of acceptable characters as determined by the legal department;

[1728] means for parsing the input information and generating name suggestions from a list of available characters;

[1729] A means for evaluating the strokes of the generated name candidates for name fortune-telling;

[1730] a means of assessing the meaning of characters and the origin of names;

[1731] a means for retrieving and evaluating the popularity of the generated name candidates from a database;

[1732] A means for comprehensively calculating each evaluation and suggesting the most suitable name to the user;

[1733] A system including:

[1734] (Claim 2)

[1735] 10. The system of claim 1, further comprising means for re-entering desired images and characteristics and reviewing the suggested names.

[1736] (Claim 3)

[1737] ...

Claims

1. An input means for inputting the user's desired image and preferences; A means to read the list of available kanji characters set by the Ministry of Justice, A means for analyzing the input information and generating name candidates from a list of available kanji characters; A means for evaluating the strokes of the generated name candidates for name fortune-telling; a means of assessing the meaning of kanji and the origin of names; A means for comprehensively calculating each evaluation and suggesting the most suitable name to the user; A system including:

2. 2. The system of claim 1, further comprising means for re-inputting a desired image or preference and reviewing the proposed name.

3. 2. The system of claim 1, further comprising means for obtaining name popularity from a database and evaluating the popularity of each name candidate.

Images