system

Abstract

We provide the system. [Solution] A means for the user to input skin condition, A means for the user to input their skin condition, The means by which the terminal obtains climate information, A means by which the terminal transmits skin condition data and climate data to a server, A means by which a server analyzes skin condition data and climate data to suggest products, A means for transmitting a proposal generated by the server to a terminal or home appliance, A means by which home appliances notify the user of a suggestion using voice or a display device, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern consumers have difficulty in selecting the optimal cosmetics according to various climate conditions and individual skin characteristics. As a result, if the cosmetics used are not appropriate, it may cause skin problems. Also, they may be overwhelmed by excessive information and product options, and there is a need for a method to efficiently and effectively select products suitable for individuals.

Means for Solving the Problems

[0005] This invention provides a system that analyzes individual skin conditions and climate conditions in real time by having the user input their skin condition, and having a terminal acquire climate information and transmit the data to a server. This system solves the problem by having the server analyze the user's data, suggest the most suitable cosmetics, and send the suggestion to the terminal. As a result, users can efficiently select the most suitable cosmetics according to their individual conditions, thereby preventing skin problems and maintaining their appearance.

[0006] A "user" refers to an individual who uses the system to input data about their skin condition and receive suggestions.

[0007] "Skin condition" refers to the individual characteristics of each user's skin, such as dry, oily, combination, or sensitive.

[0008] A "terminal" refers to a digital device used by a user that is responsible for inputting skin condition information, acquiring climate information, transmitting data, and receiving suggestions.

[0009] "Climate information" refers to data representing environmental conditions such as temperature, humidity, and UV index, which the device obtains from external services.

[0010] A "server" refers to a computer system that receives skin condition data and climate data transmitted from terminals, and performs analysis and generates recommendations.

[0011] "Analysis" refers to the process by which the server evaluates the user's skin condition based on the data it receives and selects appropriate cosmetics.

[0012] "Suggestions" refer to information about appropriate cosmetics and their usage that the server provides to the user based on its analysis results.

[0013] "Cosmetics" refers to products used for the purpose of caring for and enhancing the beauty of the user's skin, and includes creams, foundations, and other similar items. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the 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.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0028] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is a system that suggests appropriate cosmetics based on the user's individual skin condition and daily weather conditions. The user uses a device such as a smartphone or tablet to input information about their skin condition. The device uses an internet connection to obtain the latest weather data from weather information services.

[0036] The terminal transmits skin condition data entered by the user and acquired climate data to the server. The server analyzes the received data in real time and runs an algorithm to select the most suitable cosmetics for the user's skin. The server utilizes machine learning models and compares them with past data to recommend the optimal product and its usage method according to the individual's conditions.

[0037] The generated suggestions are sent to the device and the user is notified. The user reviews them and decides whether to select the recommended cosmetics. This system flexibly adapts to daily changes and provides support for users to maintain their beauty while preventing skin problems.

[0038] Specific example

[0039] For example, suppose a user opens the app for their morning skincare routine. The user enters "moderately dry skin," and the device retrieves the day's temperature (20 degrees Celsius), humidity (55%), and UV index (6) from a weather API. The device sends this data to the server. Based on the server's data analysis, a highly moisturizing cream and a foundation with UV protection are recommended. The server sends this recommendation to the user's device, making it easier for the user to choose skincare products that suit their skin and the weather conditions. This allows the user to efficiently perform their daily skincare and makeup routine.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches the application on their device and inputs their skin condition. For example, they might use a function to select options such as "dry skin" or "sensitive skin."

[0043] Step 2:

[0044] The device uses its internet connection to retrieve weather information from a weather forecast API. This includes the current location's temperature, humidity, and UV index.

[0045] Step 3:

[0046] The device sends the user's skin condition data and acquired climate data to the server. The data is encrypted and transferred in a secure manner.

[0047] Step 4:

[0048] The server inputs the received data into an AI agent, which then performs an analysis based on the user's skin condition and climate conditions. Here, a machine learning algorithm selects appropriate cosmetics by referring to past data and trends.

[0049] Step 5:

[0050] The server generates recommendations for optimal skincare and makeup products based on the analysis results. For example, it might suggest products such as "moisturizing cream" and "UV-blocking foundation."

[0051] Step 6:

[0052] The server sends the generated suggestions to the terminal. The suggestions are displayed on the terminal's application screen, allowing the user to review them.

[0053] Step 7:

[0054] The user reviews the suggestions displayed on their device and decides whether to select the displayed skincare methods or cosmetics. Based on the suggestions, the user decides to use the actual products.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] There is a challenge in quickly and accurately recommending cosmetics that are suitable for each individual user's skin condition and daily environmental conditions. Users have individual needs, and making the optimal choice based on the weather on any given day requires specialized knowledge and analysis based on past data. Against this backdrop, there is a need for a system that allows users to easily and efficiently select the most suitable cosmetics.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for analyzing skin condition information and environmental information, means for making recommendations using a machine learning model based on past information, and means for transmitting the generated recommendations to an information terminal. This makes it possible for users to easily select cosmetics that are best suited to their skin condition and climate conditions on any given day.

[0060] A "user" refers to a person who uses a data processing system to input their skin condition and receive recommendations for the most suitable cosmetics.

[0061] "Epidermal condition" refers to information indicating the state of the user's skin, such as its moisture content, oil content, and sensitivity.

[0062] An "information terminal" refers to an electronic device used by users to input skin condition information, acquire environmental conditions, and transmit data to an information processing device.

[0063] "Environmental conditions" refer to information about the weather on that day, such as temperature, humidity, and UV index.

[0064] An "information processing device" refers to a device that analyzes skin condition information and environmental information transmitted from an information terminal and generates recommendations for the most suitable cosmetics.

[0065] "Analysis" refers to the process by which an information processing device evaluates epidermal condition information and environmental conditions to derive cosmetic recommendations.

[0066] A "machine learning model" refers to an algorithm or mathematical model that learns from past information and recommends the most suitable cosmetics to users.

[0067] "Recommendation" refers to the information processing device presenting the user with the most suitable cosmetics and their usage instructions.

[0068] This invention is a data processing system that uses an information terminal to acquire the user's skin condition and environmental conditions, analyzes them with an information processing device, and recommends the most suitable cosmetics. The user inputs their skin condition using an information terminal such as a smartphone or tablet. The skin condition is input as text or photo data using an application. The information terminal utilizes an API of a weather information service to acquire environmental conditions via the network. For example, it collects temperature, humidity, UV index, etc., in real time.

[0069] The information terminal transmits this data to the information processing device in JSON format. The information processing device analyzes the received data using programming languages ​​such as Python and machine learning frameworks such as TENSORFLOW®. The analysis utilizes machine learning models, comparing them with past information to recommend cosmetics best suited to the user's skin condition and environmental conditions.

[0070] Recommendations generated by the information processing device are sent to the information terminal and notified to the user. For example, if a user launches the application in the morning and enters "moderately dry skin," the information terminal retrieves from the weather API that the temperature for that day is 20 degrees Celsius, the humidity is 55%, and the UV index is 6. This information is sent to the information processing device, and as a result of the analysis, a highly moisturizing cream and a foundation with UV protection are recommended.

[0071] An example of a prompt message could be, "Please recommend cosmetics suitable for these climate conditions and skin condition." This system makes it easier for users to optimize their daily skincare routine and efficiently select the necessary products under specific conditions.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] Users input their skin condition using their own information terminals. Specifically, they input text descriptions such as "moderately dry skin" through the application, or take photos of their skin using the camera function. In this way, users provide the system with the necessary input data.

[0075] Step 2:

[0076] The device obtains environmental conditions via the internet. Specifically, it retrieves data such as current temperature, humidity, and UV index in JSON format through weather information APIs like OpenWeatherMap. This input data is then used for subsequent analysis.

[0077] Step 3:

[0078] The terminal transmits the acquired surface condition data and environmental condition data to the information processing device. Here, the terminal packages this data into a single JSON object and sends it to the information processing device as a POST request using a RESTful API.

[0079] Step 4:

[0080] The server (information processing device) analyzes the received data. Based on the received input data, it uses Python to input that data into a machine learning model and performs the necessary data processing and numerical calculations. This generates a list of cosmetics that are best suited to the user's conditions as output.

[0081] Step 5:

[0082] The server sends back the list of recommended cosmetics generated through analysis to the terminal. The generated recommendation data is converted back into JSON format and received by the information terminal.

[0083] Step 6:

[0084] The device displays the received recommendation data on the user interface. Users can review this and use it as a reference when selecting the optimal cosmetics suggested by the generating AI model.

[0085] (Application Example 1)

[0086] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0087] When suggesting cosmetics tailored to each user's skin condition, it is necessary to provide information in the most suitable format for the user, while also considering environmental conditions. Furthermore, a system that can flexibly respond to individual user needs and changes in their living environment is required. However, existing systems often rely on devices for users to receive this information, resulting in poor user convenience. In addition, there is a challenge in collecting information and presenting suggestions in a natural mode, rather than relying solely on terminal input.

[0088] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0089] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data and climate data to the server, means for the server to analyze the skin condition data and climate data and suggest products, means for the server to transmit the suggestions generated by the server to the terminal or home appliance, and means for the home appliance to notify the user of the suggestions using voice or a display device. This allows the user to receive suggestions tailored to their individual needs in a more natural way while reducing the effort required for input.

[0090] "Means for users to input skin condition" refers to a device or method that provides an interface that allows a user to input information about their own skin condition.

[0091] "Means by which a terminal acquires climate information" refers to a device or method that has the function of collecting current weather data from external weather information services using an internet connection or the like.

[0092] "Means by which the terminal transmits skin condition data and climate data to the server" refers to means of transferring information about the skin condition provided by the user and weather information acquired by the terminal to the server via communication.

[0093] "A means by which a server analyzes skin condition data and climate data to suggest products" refers to a system that analyzes transmitted data, selects the optimal product based on the user's skin condition and weather conditions, and executes an algorithm to generate suggestions.

[0094] "Means for transmitting server-generated suggestions to terminals or home appliances" refers to a function that transfers product suggestions created by the server to the user's terminal or home appliances capable of displaying audio or visual information, and displays or notifies the user.

[0095] "Means by which home appliances notify users of suggestions using voice or display devices" refers to devices or functions for communicating suggested product information to users using voice output or displays.

[0096] The system realizing this invention operates in conjunction with a device including a smartphone or tablet and provides personalized cosmetic recommendations based on user input. The user inputs information about their skin condition into the device. The server receives this input data and, simultaneously, uses an internet connection to obtain the latest climate data from an external weather information service.

[0097] The server uses a machine learning model to analyze user skin condition data and acquired climate data to generate suggestions. This analysis also includes comparing historical user data with climate data. One example of the software used here is a generative AI model utilizing the scikit-learn library to make predictions with different features as input.

[0098] The generated suggestions are sent to the user's device or home appliance and notified to the user via voice output or display. To enable home appliances to assist the user in their daily lives, voice recognition software such as the Google® Assistant SDK can be used to recognize the user's voice input.

[0099] As a concrete example, consider a scenario where a user registers "moderately dry skin" by voice in the morning, and the device retrieves the day's temperature, humidity, and UV index from a weather API. The server considers these factors and suggests a highly moisturizing cream and a foundation with UV protection, sending the results to the user's device. In this case, a possible prompt might be, "Please suggest winter moisturizing cosmetics best suited for dry skin."

[0100] In this way, users can more easily choose the appropriate skincare products for their daily routine through their devices and home appliances.

[0101] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0102] Step 1:

[0103] The user uses a terminal to input information about their skin condition. This data includes skin type (e.g., dry skin, oily skin, etc.). The terminal temporarily stores this information and formats it into a format that can be used for subsequent processing.

[0104] Step 2:

[0105] The device uses an internet connection to obtain the latest climate data (e.g., temperature, humidity, UV index) from external weather information services. This allows the device to collect input information to prepare a dataset that takes into account the day's weather conditions.

[0106] Step 3:

[0107] The terminal sends user-inputted skin condition data and climate data obtained from weather information services to the server. The terminal integrates this data and sends it to the server as a single dataset.

[0108] Step 4:

[0109] The server uses a machine learning model to analyze the received data. Specifically, it uses the scikit-learn library to input this dataset into a model trained on accumulated historical data, and generates a list of suggested cosmetics. Data processing, such as feature extraction, is performed here.

[0110] Step 5:

[0111] The server sends the cosmetic product suggestions generated from the analysis results to a terminal or home appliance. The generated suggestions are then formatted to be presented to the user as audio or visual information.

[0112] Step 6:

[0113] Home appliances notify users of received suggestion information via voice output or display. Using voice recognition functionality, users can inquire about more detailed information using voice commands. This allows users to review recommended cosmetics and make selections that meet their needs.

[0114] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0115] This invention is a system that provides optimal cosmetic recommendations based on the user's skin condition, climate conditions, and emotional state. Users access the system via an application on their smartphone or tablet. First, the user inputs their skin condition into the app. This information includes, for example, "dry skin" or "sensitive skin."

[0116] Next, the device's emotion engine utilizes the user's camera and microphone to recognize their emotional state in real time from their facial expressions and tone of voice. This emotional data is used to understand the user's current state.

[0117] The device also obtains current weather information from weather forecast services via an internet connection. This includes data such as temperature, humidity, and UV index.

[0118] The device sends this data (skin condition, emotional state, and weather information) to the server. The server uses an AI agent to perform a comprehensive analysis based on the received data. Emotional data, in particular, can influence the choice of cosmetics for the day; for example, products containing aromatherapy ingredients that have stress-reducing effects may be recommended.

[0119] The generated suggestions are sent to the device and notified to the user. The user can then select cosmetics and skincare products that suit their mood and skin condition. This system allows users to enjoy more personalized skincare and makeup that is tailored to their individual health and emotional state.

[0120] Specific example

[0121] For example, when a user performs their morning skincare routine, they open the application and select "combination skin" as their skin type. The emotion engine recognizes from the user's facial expression that they are feeling somewhat stressed. In addition, it retrieves weather information, such as a temperature of 15 degrees Celsius and humidity of 45%. The device sends this information to the server, which recommends a cream containing calming ingredients to alleviate stress and a lightweight, moisturizing foundation. It also suggests cosmetics with fragrances that enhance relaxation, tailored to the user's emotional state. By following these suggestions and performing their skincare and makeup routine, the user can calm their mood while simultaneously caring for their skin.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] The user launches an application on their device and inputs their skin condition. Specifically, they select their current skin condition from options such as "dry skin" or "sensitive skin."

[0125] Step 2:

[0126] The device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes them to recognize their emotional state. In this process, emotions such as "stress" and "happiness" are identified.

[0127] Step 3:

[0128] The device accesses weather forecast services via the internet and obtains climate information, including temperature, humidity, and UV index, based on its current location.

[0129] Step 4:

[0130] The device combines skin condition data, emotional state data, and climate information it has acquired, and sends the data to the server. A secure protocol is used for this transmission, ensuring security.

[0131] Step 5:

[0132] The server inputs the received data into the AI ​​agent, which then performs a harmonious analysis. Here, a machine learning algorithm designs cosmetic recommendations that also take the user's emotions into consideration.

[0133] Step 6:

[0134] Based on the analysis results, the server generates recommendations for optimal skincare products and cosmetics. For example, it might recommend products such as a moisturizing cream containing relaxing ingredients or a light makeup foundation.

[0135] Step 7:

[0136] The server sends the generated suggestion to the terminal. The terminal notifies the user and displays the suggestion.

[0137] Step 8:

[0138] Users review the suggestions displayed on their device and decide whether or not to use the suggested skincare products and cosmetics. They make choices that are appropriate to their own feelings and skin condition.

[0139] (Example 2)

[0140] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0141] Conventional cosmetic recommendation systems only considered the user's skin condition and climate information, making it difficult to reflect the user's emotional state. Therefore, there was a need for recommendations that were more tailored to individual users. Furthermore, there was a lack of technology to flexibly update recommendations in response to real-time changes in emotional states.

[0142] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0143] In this invention, the server includes means for generating suggestions by comprehensively analyzing received skin condition data, emotional state data, and climate data using a generative AI model; means for customizing skin condition information based on user input and emotion recognition; and means for flexibly updating suggestions based on historical and real-time data. This makes it possible to provide users with more personalized cosmetic suggestions in real time.

[0144] A "user" refers to an individual who uses the system to input their skin condition and emotional state, and receives recommendations for the most suitable cosmetics.

[0145] A "terminal" refers to a device operated by a user, equipped with functions for inputting skin condition, recognizing emotional states, acquiring climate information, and transmitting and receiving data.

[0146] A "server" refers to a computing system that receives data sent from terminals, analyzes the data using a generative AI model, and generates and sends cosmetic product recommendations.

[0147] A "generative AI model" refers to an artificial intelligence model that runs on a server, performs complex data analysis, and is used to derive optimal cosmetic product recommendations.

[0148] "Skin condition data" refers to information about the characteristics of the user's skin that is entered via the device.

[0149] "Emotional state data" refers to information about the user's emotions that the device recognizes from the user's facial expressions and voice using its camera and microphone.

[0150] "Climate information" refers to information about weather conditions in the environment, such as temperature, humidity, and UV index, which a device obtains through its internet connection.

[0151] "Suggestions" refer to information provided as optimal cosmetic and skincare product options, based on the server's analysis of user data using a generated AI model.

[0152] This invention is a system that combines the user's skin condition, emotional state, and climate information to suggest the most suitable cosmetics. Specifically, the user launches an application using a smartphone or tablet (device) and first inputs their skin condition. Skin condition includes "dry skin," "combination skin," etc. Next, an emotion engine is activated through the camera and microphone built into the device to recognize the user's emotional state from their facial expressions and voice. The emotional data obtained at this stage is used to understand the user's mental state.

[0153] Furthermore, the device has a mechanism to obtain current climate information from weather forecast services via an internet connection. The information obtained consists of temperature, humidity, UV index, etc. Such data is important for users to understand the environmental conditions in which they live.

[0154] All data is transmitted from the terminal to the server, where a generative AI model analyzes this combined data. This analysis aims to identify the cosmetics best suited to the user's specific situation and emotions. The generative AI model considers each user data point to generate suggestions for effective cosmetics and skincare products. In particular, when the user is feeling stressed, products containing aromatic ingredients that promote relaxation may be recommended.

[0155] Finally, the suggested results are sent from the server to the terminal and notified to the user. Based on this information, the user can select appropriate products from the list of cosmetics provided on the application. This enables personalized skincare and makeup.

[0156] As a concrete example, consider a scenario where a user selects "combination skin" in the application, and the system detects, via camera, that the user is experiencing some stress. Furthermore, assume that the system acquires climate conditions of 15 degrees Celsius and 45% humidity. In this case, the server can suggest a cream containing a relaxing fragrance and calming ingredients. An example of a prompt might be, "User information: combination skin, emotion: stressed, climate: 15 degrees Celsius, humidity: 45%. Please suggest the best cosmetics under these conditions." In this way, by utilizing a generative AI model, users can receive real-time suggestions for the products best suited to them.

[0157] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0158] Step 1:

[0159] The user launches the application on their device and inputs their skin condition. The input skin condition data is selected from options such as "dry skin," "sensitive skin," and "combination skin." The device performs an input operation to save this input data internally. The output is the user's skin condition data.

[0160] Step 2:

[0161] The device uses a camera and microphone to recognize the user's emotional state. It utilizes speech recognition software and image processing technology to analyze the user's facial expressions and voice tone in real time. Based on this analysis, it determines the emotional state and outputs emotional data such as "relaxed" or "stressed."

[0162] Step 3:

[0163] The device accesses weather forecast services via an internet connection to obtain current climate information. It collects weather data such as temperature, humidity, and UV index from an external database. This acquired climate data is stored on the device. The output provides current climate information.

[0164] Step 4:

[0165] The terminal transmits collected skin condition data, emotional state data, and climate data to the server. It uses a communication protocol to packetize the data and transmit it to the server over the network. The output consists of a data package for the server to receive.

[0166] Step 5:

[0167] The server performs analysis using a generated AI model based on the received data. The server utilizes these data points to identify the most suitable cosmetics and skincare products for each user. As a result of the AI ​​analysis, cosmetic suggestions based on prompt messages are generated. The output is a list of cosmetics suitable for the user.

[0168] Step 6:

[0169] The server sends the generated cosmetic product suggestions to the terminal. Here too, data is transferred using a communication protocol. The terminal receives these suggestions and begins the process of notifying the user. The output is the notification data from the terminal.

[0170] Step 7:

[0171] Users review cosmetic suggestions displayed on their device and select the products best suited to their preferences. They then perform skincare and makeup based on these recommendations. As output, users receive personalized products and methods to incorporate into their daily skincare routine.

[0172] (Application Example 2)

[0173] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0174] This invention relates to a system that integrates a user's skin condition, climate conditions, and emotional state to provide optimal cosmetic recommendations for each individual user. In particular, it aims to enable more personalized and comfortable daily care by automatically combining aromatherapy and relaxation functions according to the user's emotional state during daily skincare and makeup application.

[0175] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0176] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data, climate data, and emotional state data to the server, means for the server to analyze the skin condition data, climate data, and emotional state data to generate cosmetic recommendations, means for the terminal to perform operations to prepare a critical state for the user based on the recommendations, and means for the server to transmit the generated recommendations to the terminal. This enables personalized skincare and aromatherapy experiences based on the user's health condition and emotions.

[0177] A "means for users to input skin condition information" refers to an interface used by users to input their skin characteristics and condition into an electronic device.

[0178] "Means by which a device acquires climate information" refers to the function by which an electronic device collects current weather conditions via the internet.

[0179] "Means by which the terminal transmits skin condition data, climate data, and emotional state data to the server" refers to a communication function for transferring the skin data entered by the user, along with the acquired climate information and emotional state, to a central data processing unit.

[0180] "A means by which a server analyzes skin condition data, climate data, and emotional state data to generate cosmetic recommendations" refers to a data processing device that uses a computational algorithm to recommend the most suitable cosmetics based on the collected data.

[0181] "Means by which the terminal performs operations to prepare a critical state for the user based on suggestions" refers to a function that automatically adjusts fragrances and music based on cosmetic suggestions received from the server to adjust the user's emotions and state.

[0182] "Means of sending server-generated suggestions to the terminal" refers to a communication function that delivers cosmetic recommendations created by a data processing device to the user's electronic device.

[0183] In the system realizing this invention, the user can input their skin condition using a terminal equipped with facial recognition capabilities. The terminal uses a camera and microphone to analyze the user's facial expressions and voice tone, and acquires data on their emotional state. The terminal can also acquire weather information via an internet connection, specifically including data such as temperature, humidity, and UV index.

[0184] The device sends acquired skin condition data, climate information, and emotional state data to a server. The server aggregates this data and analyzes it using an AI agent. In particular, the generative AI model emphasizes emotional state and suggests aromatherapy components and relaxing music that address the day's stress levels.

[0185] Furthermore, the suggestions are sent to the device, allowing the user to select skincare and makeup products based on those recommendations. The device can also automatically activate an aroma diffuser tailored to the user's emotional state, providing a relaxing environment.

[0186] As a concrete example, when a user runs the program in the morning, the device scans the user's face and recognizes that they have "dry skin," while the emotion engine detects that they are feeling anxious. It also retrieves the day's weather information, such as 40% humidity and 10 degrees Celsius, and sends this information to the server. The server recommends lavender aromatherapy, which has a calming effect, and instructs the device on how to provide a relaxing atmosphere.

[0187] An example of a prompt for a generative AI model is, "Please input the user's skin condition, emotional state, and climate conditions, and suggest the best selection of aromatherapy and skincare products." Based on this prompt, the AI ​​will provide optimal suggestions tailored to the user's condition.

[0188] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0189] Step 1:

[0190] The device provides an interface that allows users to input skin condition data using their smartphones or tablets. Users input information such as "dry skin" or "sensitive skin," and this data is stored on the device.

[0191] Step 2:

[0192] The device uses a camera and microphone to analyze the user's facial expressions and voice tone in real time. Using the user's image and voice data as input, the emotion engine determines the user's emotional state. Emotional state data is generated as output.

[0193] Step 3:

[0194] The device obtains current weather conditions from weather information services via an internet connection. Data such as temperature, humidity, and UV index are obtained as input data and stored as weather information.

[0195] Step 4:

[0196] The device integrates skin condition data, emotional state data, and climate information, and sends them to the server in a single batch. This allows the server to receive the information and prepare for the next processing step.

[0197] Step 5:

[0198] The server then uses the received data to initiate analysis by an AI agent. Using skin condition, emotional state, and climate information as input data, the AI ​​model suggests the most suitable cosmetic products and aromatherapy for the day to the user.

[0199] Step 6:

[0200] The server sends the generated suggestions to the terminal. The terminal then prepares to notify the user of the suggested content as output.

[0201] Step 7:

[0202] Based on the received suggestions, the device notifies the user and activates a relaxing aroma diffuser. For example, based on the suggestion, it might diffuse lavender aroma oil and play calming music using its music playback function.

[0203] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0204] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0205] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0206] [Second Embodiment]

[0207] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0208] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0209] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0210] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0211] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0212] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0213] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0214] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0215] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0216] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0217] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0218] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0219] This invention is a system that suggests appropriate cosmetics based on the user's individual skin condition and daily weather conditions. The user uses a device such as a smartphone or tablet to input information about their skin condition. The device uses an internet connection to obtain the latest weather data from weather information services.

[0220] The terminal transmits skin condition data entered by the user and acquired climate data to the server. The server analyzes the received data in real time and runs an algorithm to select the most suitable cosmetics for the user's skin. The server utilizes machine learning models and compares them with past data to recommend the optimal product and its usage method according to the individual's conditions.

[0221] The generated suggestions are sent to the device and the user is notified. The user reviews them and decides whether to select the recommended cosmetics. This system flexibly adapts to daily changes and provides support for users to maintain their beauty while preventing skin problems.

[0222] Specific example

[0223] For example, suppose a user opens the app for their morning skincare routine. The user enters "moderately dry skin," and the device retrieves the day's temperature (20 degrees Celsius), humidity (55%), and UV index (6) from a weather API. The device sends this data to the server. Based on the server's data analysis, a highly moisturizing cream and a foundation with UV protection are recommended. The server sends this recommendation to the user's device, making it easier for the user to choose skincare products that suit their skin and the weather conditions. This allows the user to efficiently perform their daily skincare and makeup routine.

[0224] The following describes the processing flow.

[0225] Step 1:

[0226] The user launches the application on their device and inputs their skin condition. For example, they might use a function to select options such as "dry skin" or "sensitive skin."

[0227] Step 2:

[0228] The device uses its internet connection to retrieve weather information from a weather forecast API. This includes the current location's temperature, humidity, and UV index.

[0229] Step 3:

[0230] The device sends the user's skin condition data and acquired climate data to the server. The data is encrypted and transferred in a secure manner.

[0231] Step 4:

[0232] The server inputs the received data into an AI agent, which then performs an analysis based on the user's skin condition and climate conditions. Here, a machine learning algorithm selects appropriate cosmetics by referring to past data and trends.

[0233] Step 5:

[0234] The server generates suggestions for optimal skincare and makeup products based on the analysis results. For example, it might suggest products such as "moisturizing cream" and "UV-blocking foundation."

[0235] Step 6:

[0236] The server sends the generated suggestions to the terminal. The suggestions are displayed on the terminal's application screen, allowing the user to review them.

[0237] Step 7:

[0238] The user reviews the suggestions displayed on their device and decides whether to select the displayed skincare methods or cosmetics. Based on the suggestions, the user decides to use the actual products.

[0239] (Example 1)

[0240] Next, we will describe Example 1. 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."

[0241] There is a challenge in quickly and accurately recommending cosmetics that are suitable for each individual user's skin condition and daily environmental conditions. Users have individual needs, and making the optimal choice based on the weather on any given day requires specialized knowledge and analysis based on past data. Against this backdrop, there is a need for a system that allows users to easily and efficiently select the most suitable cosmetics.

[0242] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0243] In this invention, the server includes means for analyzing skin condition information and environmental information, means for making recommendations using a machine learning model based on past information, and means for transmitting the generated recommendations to an information terminal. This makes it possible for users to easily select cosmetics that are best suited to their skin condition and climate conditions on any given day.

[0244] A "user" refers to a person who uses a data processing system to input their own skin condition and receive recommendations for the most suitable cosmetics.

[0245] "Epidermal condition" refers to information indicating the state of the user's skin, such as its moisture content, oil content, and sensitivity.

[0246] An "information terminal" refers to an electronic device used by users to input skin condition information, acquire environmental conditions, and transmit data to an information processing device.

[0247] "Environmental conditions" refer to information about the weather on that day, such as temperature, humidity, and UV index.

[0248] An "information processing device" refers to a device that analyzes skin condition information and environmental information transmitted from an information terminal and generates recommendations for the most suitable cosmetics.

[0249] "Analysis" refers to the process by which an information processing device evaluates epidermal condition information and environmental conditions to derive cosmetic product recommendations.

[0250] A "machine learning model" refers to an algorithm or mathematical model that learns from past information and recommends the most suitable cosmetics to users.

[0251] "Recommendation" refers to the information processing device presenting the user with the most suitable cosmetics and their usage instructions.

[0252] This invention is a data processing system that uses an information terminal to acquire the user's skin condition and environmental conditions, analyzes them with an information processing device, and recommends the most suitable cosmetics. The user inputs their skin condition using an information terminal such as a smartphone or tablet. The skin condition is input as text or photo data using an application. The information terminal utilizes an API of a weather information service to acquire environmental conditions via the network. For example, it collects temperature, humidity, UV index, etc., in real time.

[0253] The information terminal sends this data to the information processing device in JSON format. The information processing device analyzes the received data using programming languages ​​such as Python and machine learning frameworks such as TensorFlow. A machine learning model is used for the analysis, and while comparing it with past information, it recommends cosmetics that are best suited to the user's skin condition and environmental conditions.

[0254] Recommendations generated by the information processing device are sent to the information terminal and notified to the user. For example, if a user launches the application in the morning and enters "moderately dry skin," the information terminal retrieves from the weather API that the temperature for that day is 20 degrees Celsius, the humidity is 55%, and the UV index is 6. This information is sent to the information processing device, and as a result of the analysis, a highly moisturizing cream and a foundation with UV protection are recommended.

[0255] An example of a prompt message could be, "Please recommend cosmetics suitable for these climate conditions and skin condition." This system makes it easier for users to optimize their daily skincare routine and efficiently select the necessary products under specific conditions.

[0256] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0257] Step 1:

[0258] Users input their skin condition using their own information terminals. Specifically, they input text descriptions such as "moderately dry skin" through the application, or take photos of their skin using the camera function. In this way, users provide the system with the necessary input data.

[0259] Step 2:

[0260] The device obtains environmental conditions via the internet. Specifically, it retrieves data such as current temperature, humidity, and UV index in JSON format through weather information APIs like OpenWeatherMap. This input data is then used for subsequent analysis.

[0261] Step 3:

[0262] The terminal transmits the acquired surface condition data and environmental condition data to the information processing device. Here, the terminal packages this data into a single JSON object and sends it to the information processing device as a POST request using a RESTful API.

[0263] Step 4:

[0264] The server (information processing device) analyzes the received data. Based on the received input data, it uses Python to input that data into a machine learning model and performs the necessary data processing and numerical calculations. This generates a list of cosmetics that are best suited to the user's conditions as output.

[0265] Step 5:

[0266] The server sends back the list of recommended cosmetics generated through analysis to the terminal. The generated recommendation data is converted back into JSON format and received by the information terminal.

[0267] Step 6:

[0268] The device displays the received recommendation data on the user interface. Users can review this and use it as a reference when selecting the optimal cosmetics suggested by the generating AI model.

[0269] (Application Example 1)

[0270] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0271] When suggesting cosmetics tailored to each user's skin condition, it is necessary to provide information in the most suitable format for the user, while also considering environmental conditions. Furthermore, a system that can flexibly respond to individual user needs and changes in their living environment is required. However, existing systems often rely on devices for users to receive this information, resulting in poor user convenience. In addition, there is a challenge in collecting information and presenting suggestions in a natural mode, rather than relying solely on terminal input.

[0272] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0273] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data and climate data to the server, means for the server to analyze the skin condition data and climate data and suggest products, means for the server to transmit the suggestions generated by the server to the terminal or home appliance, and means for the home appliance to notify the user of the suggestions using voice or a display device. This allows the user to receive suggestions tailored to their individual needs in a more natural way while reducing the effort required for input.

[0274] "Means for users to input skin condition" refers to a device or method that provides an interface that allows a user to input information about their own skin condition.

[0275] "Means by which a terminal acquires climate information" refers to a device or method that has the function of collecting current weather data from external weather information services using an internet connection or the like.

[0276] "Means by which the terminal transmits skin condition data and climate data to the server" refers to means of transferring information about the skin condition provided by the user and weather information acquired by the terminal to the server via communication.

[0277] "A means by which a server analyzes skin condition data and climate data to suggest products" refers to a system that analyzes transmitted data, selects the optimal product based on the user's skin condition and weather conditions, and executes an algorithm to generate suggestions.

[0278] "Means for transmitting server-generated suggestions to terminals or home appliances" refers to a function that transfers product suggestions created by the server to the user's terminal or home appliances capable of displaying audio or visual information, and displays or notifies the user.

[0279] "Means by which home appliances notify users of suggestions using voice or display devices" refers to devices or functions for communicating suggested product information to users using voice output or displays.

[0280] The system for realizing this invention operates in relation to a terminal including a smartphone or a tablet, and provides a proposal for cosmetics that can be individually customized based on user input. The user inputs the state of their skin into the terminal. The server receives this input data and at the same time, uses the Internet connection to obtain the latest climate data from an external weather information service.

[0281] The server uses a machine learning model to analyze the user's skin condition data and the obtained climate data, and generates a proposal. This analysis also includes a comparison of past user data and climate data. As an example of the software used here, there is a generative AI model that uses the scikit-learn library to make predictions with different feature quantities as inputs.

[0282] The generated proposal is transmitted to the user's terminal or home appliance, and is notified to the user by voice output or display. Since the home appliance supports the user's daily life, it is possible to recognize the user's voice input by using a tool such as the Google Assistant SDK as the voice recognition software.

[0283] As a specific example, consider the case where the user registers "moderately dry skin" by voice in the morning, and the terminal obtains the temperature, humidity, and UV index of that day from the weather API. The server considers these factors and proposes a high-moisturizing cream and a foundation with UV protection, and transmits the result to the user's terminal. At this time, an instruction such as "Please propose winter moisturizing cosmetics suitable for dry skin" can be considered as the prompt text.

[0284] In this way, the user can easily select daily appropriate skin care through the terminal or home appliance.

[0285] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0286] Step 1:

[0287] The user inputs their skin condition information using a terminal. The input data includes skin type (e.g., dry skin, oily skin, etc.). The terminal temporarily holds this information and formats it into a usable form for subsequent processing.

[0288] Step 2:

[0289] The terminal uses an internet connection to obtain the latest climate data (e.g., temperature, humidity, UV index) from an external weather information service. Thereby, the terminal collects input information for preparing a dataset considering the climate conditions of the day.

[0290] Step 3:

[0291] The terminal sends the user - input skin condition data and the climate data obtained from the weather information service to the server. The terminal integrates these data and sends them to the server as one dataset.

[0292] Step 4:

[0293] The server uses a machine - learning model to analyze the received data. Specifically, using the scikit - learn library, this dataset is input into a model learned from accumulated past data to generate a list of proposed cosmetics. Here, pre - processing such as feature extraction is performed on the data processing.

[0294] Step 5:

[0295] The server sends the proposed cosmetics generated as the analysis result to the terminal or home appliances. At that time, the generated proposal is formatted to be presented to the user as audio or visual information.

[0296] Step 6:

[0297] Home appliances notify users of received suggestion information via voice output or display. Using voice recognition functionality, users can inquire about more detailed information using voice commands. This allows users to review recommended cosmetics and make selections that meet their needs.

[0298] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0299] This invention is a system that provides optimal cosmetic recommendations based on the user's skin condition, climate conditions, and emotional state. Users access the system via an application on their smartphone or tablet. First, the user inputs their skin condition into the app. This information includes, for example, "dry skin" or "sensitive skin."

[0300] Next, the device's emotion engine utilizes the user's camera and microphone to recognize their emotional state in real time from their facial expressions and tone of voice. This emotional data is used to understand the user's current state.

[0301] The device also obtains current weather information from weather forecast services via an internet connection. This includes data such as temperature, humidity, and UV index.

[0302] The device sends this data (skin condition, emotional state, and weather information) to the server. The server uses an AI agent to perform a comprehensive analysis based on the received data. Emotional data, in particular, can influence the choice of cosmetics for the day; for example, products containing aromatherapy ingredients that have stress-reducing effects may be recommended.

[0303] The generated proposed content is sent to the terminal and notified to the user. The user can select cosmetics and skin care products according to their mood and skin condition. With this system, the user can enjoy more personalized skin care and makeup that conforms to their individual health status and emotions.

[0304] Specific example

[0305] For example, when the user performs skin care in the morning, they open the application and select "combination skin" as their skin condition. The emotion engine recognizes that the user is feeling slightly stressed from their expression. In addition, information on the temperature of 15 degrees and humidity of 45% is obtained as the weather. The terminal sends this information to the server, and the server recommends a cream containing a calming ingredient that has the effect of relieving stress and a light foundation with a moisturizing effect. Also, it presents scented cosmetics that enhance the relaxation effect according to the user's emotion. By following this proposal and performing skin care and makeup for the day, the user can take care of their skin while calming their mood.

[0306] The following explains the processing flow.

[0307] Step 1:

[0308] The user launches the application on the terminal and enters their skin condition. Specifically, they select their current skin condition from options such as "dry skin" and "sensitive skin".

[0309] Step 2:

[0310] The emotion engine of the terminal uses the camera and microphone to capture the user's expression and voice, analyzes it, and recognizes the emotional state. In this process, emotions such as "stress" and "happiness" are identified.

[0311] Step 3:

[0312] The device accesses weather forecast services via the internet and obtains climate information, including temperature, humidity, and UV index, based on its current location.

[0313] Step 4:

[0314] The device combines skin condition data, emotional state data, and climate information it has acquired, and sends the data to the server. A secure protocol is used for this transmission, ensuring security.

[0315] Step 5:

[0316] The server inputs the received data into the AI ​​agent, which then performs a harmonious analysis. Here, a machine learning algorithm designs cosmetic recommendations that also take the user's emotions into consideration.

[0317] Step 6:

[0318] Based on the analysis results, the server generates recommendations for optimal skincare products and cosmetics. For example, it might recommend products such as a moisturizing cream containing relaxing ingredients or a light makeup foundation.

[0319] Step 7:

[0320] The server sends the generated suggestion to the terminal. The terminal notifies the user and displays the suggestion.

[0321] Step 8:

[0322] Users review the suggestions displayed on their device and decide whether or not to use the suggested skincare products and cosmetics. They make choices that are appropriate to their own feelings and skin condition.

[0323] (Example 2)

[0324] Next, we will describe Example 2. 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".

[0325] Conventional cosmetic recommendation systems only considered the user's skin condition and climate information, making it difficult to reflect the user's emotional state. Therefore, there was a need for recommendations that were more tailored to individual users. Furthermore, there was a lack of technology to flexibly update recommendations in response to real-time changes in emotional states.

[0326] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0327] In this invention, the server includes means for generating suggestions by comprehensively analyzing received skin condition data, emotional state data, and climate data using a generative AI model; means for customizing skin condition information based on user input and emotion recognition; and means for flexibly updating suggestions based on historical and real-time data. This makes it possible to provide users with more personalized cosmetic suggestions in real time.

[0328] A "user" refers to an individual who uses the system to input their skin condition and emotional state, and receives recommendations for the most suitable cosmetics.

[0329] A "terminal" refers to a device operated by a user, equipped with functions for inputting skin condition, recognizing emotional states, acquiring climate information, and transmitting and receiving data.

[0330] A "server" refers to a computing system that receives data sent from terminals, analyzes the data using a generative AI model, and generates and sends cosmetic product recommendations.

[0331] A "generative AI model" refers to an artificial intelligence model that runs on a server, performs complex data analysis, and is used to derive optimal cosmetic product recommendations.

[0332] "Skin condition data" refers to information about the characteristics of the user's skin that is entered via the device.

[0333] "Emotional state data" refers to information about the user's emotions that the device recognizes from the user's facial expressions and voice using its camera and microphone.

[0334] "Climate information" refers to information about weather conditions in the environment, such as temperature, humidity, and UV index, which a device obtains through its internet connection.

[0335] "Suggestions" refer to information provided as optimal cosmetic and skincare product options, based on the server's analysis of user data using a generated AI model.

[0336] This invention is a system that combines the user's skin condition, emotional state, and climate information to suggest the most suitable cosmetics. Specifically, the user launches an application using a smartphone or tablet (device) and first inputs their skin condition. Skin condition includes "dry skin," "combination skin," etc. Next, an emotion engine is activated through the camera and microphone built into the device to recognize the user's emotional state from their facial expressions and voice. The emotional data obtained at this stage is used to understand the user's mental state.

[0337] Furthermore, the device has a mechanism to obtain current climate information from weather forecast services via an internet connection. The information obtained consists of temperature, humidity, UV index, etc. Such data is important for users to understand the environmental conditions in which they live.

[0338] All data is transmitted from the terminal to the server, where a generative AI model analyzes this combined data. This analysis aims to identify the cosmetics best suited to the user's specific situation and emotions. The generative AI model considers each user data point to generate suggestions for effective cosmetics and skincare products. In particular, when the user is feeling stressed, products containing aromatic ingredients that promote relaxation may be recommended.

[0339] Finally, the suggested results are sent from the server to the terminal and notified to the user. Based on this information, the user can select appropriate products from the list of cosmetics provided on the application. This enables personalized skincare and makeup.

[0340] As a concrete example, consider a scenario where a user selects "combination skin" in the application, and the system detects, via camera, that the user is experiencing some stress. Furthermore, assume that the system acquires climate conditions of 15 degrees Celsius and 45% humidity. In this case, the server can suggest a cream containing a relaxing fragrance and calming ingredients. An example of a prompt might be, "User information: combination skin, emotion: stressed, climate: 15 degrees Celsius, humidity: 45%. Please suggest the best cosmetics under these conditions." In this way, by utilizing a generative AI model, users can receive real-time suggestions for the products best suited to them.

[0341] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0342] Step 1:

[0343] The user launches the application on their device and inputs their skin condition. The input skin condition data is selected from options such as "dry skin," "sensitive skin," and "combination skin." The device performs an input operation to save this input data internally. The output is the user's skin condition data.

[0344] Step 2:

[0345] The device uses a camera and microphone to recognize the user's emotional state. It utilizes speech recognition software and image processing technology to analyze the user's facial expressions and voice tone in real time. Based on this analysis, it determines the emotional state and outputs emotional data such as "relaxed" or "stressed."

[0346] Step 3:

[0347] The device accesses weather forecast services via an internet connection to obtain current climate information. It collects weather data such as temperature, humidity, and UV index from an external database. This acquired climate data is stored on the device. The output provides current climate information.

[0348] Step 4:

[0349] The terminal transmits collected skin condition data, emotional state data, and climate data to the server. It uses a communication protocol to packetize the data and transmit it to the server over the network. The output consists of a data package for the server to receive.

[0350] Step 5:

[0351] The server performs analysis using a generated AI model based on the received data. The server utilizes these data points to identify the most suitable cosmetics and skincare products for each user. As a result of the AI ​​analysis, cosmetic suggestions based on prompt messages are generated. The output is a list of cosmetics suitable for the user.

[0352] Step 6:

[0353] The server sends the generated cosmetic product suggestions to the terminal. Here too, data is transferred using a communication protocol. The terminal receives these suggestions and begins the process of notifying the user. The output is the notification data received by the terminal.

[0354] Step 7:

[0355] Users review cosmetic suggestions displayed on their device and select the products best suited to their preferences. They then perform skincare and makeup based on these recommendations. As output, users receive personalized products and methods to incorporate into their daily skincare routine.

[0356] (Application Example 2)

[0357] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0358] This invention relates to a system that integrates a user's skin condition, climate conditions, and emotional state to provide optimal cosmetic recommendations for each individual user. In particular, it aims to enable more personalized and comfortable daily care by automatically combining aromatherapy and relaxation functions according to the user's emotional state during daily skincare and makeup application.

[0359] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0360] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data, climate data, and emotional state data to the server, means for the server to analyze the skin condition data, climate data, and emotional state data to generate cosmetic recommendations, means for the terminal to perform operations to prepare a critical state for the user based on the recommendations, and means for the server to transmit the generated recommendations to the terminal. This enables personalized skincare and aromatherapy experiences based on the user's health condition and emotions.

[0361] A "means for users to input skin condition information" refers to an interface used by users to input their skin characteristics and condition into an electronic device.

[0362] "Means by which a device acquires climate information" refers to the function by which an electronic device collects current weather conditions via the internet.

[0363] "Means by which the terminal transmits skin condition data, climate data, and emotional state data to the server" refers to a communication function for transferring the skin data entered by the user, along with the acquired climate information and emotional state, to a central data processing unit.

[0364] "A means by which a server analyzes skin condition data, climate data, and emotional state data to generate cosmetic recommendations" refers to a data processing device that uses a computational algorithm to recommend the most suitable cosmetics based on the collected data.

[0365] "Means by which the terminal performs operations to prepare a critical state for the user based on suggestions" refers to a function that automatically adjusts fragrances and music based on cosmetic suggestions received from the server to adjust the user's emotions and state.

[0366] "Means of sending server-generated suggestions to the terminal" refers to a communication function that delivers cosmetic recommendations created by a data processing device to the user's electronic device.

[0367] In the system realizing this invention, the user can input their skin condition using a terminal equipped with facial recognition capabilities. The terminal uses a camera and microphone to analyze the user's facial expressions and voice tone, and acquires data on their emotional state. The terminal can also acquire weather information via an internet connection, specifically including data such as temperature, humidity, and UV index.

[0368] The device sends acquired skin condition data, climate information, and emotional state data to a server. The server aggregates this data and analyzes it using an AI agent. In particular, the generative AI model emphasizes emotional state and suggests aromatherapy components and relaxing music that address the day's stress levels.

[0369] Furthermore, the suggestions are sent to the device, allowing the user to select skincare and makeup products based on those recommendations. The device can also automatically activate an aroma diffuser tailored to the user's emotional state, providing a relaxing environment.

[0370] As a concrete example, when a user runs the program in the morning, the device scans the user's face and recognizes that they have "dry skin," while the emotion engine detects that they are feeling anxious. It also retrieves the day's weather information, such as 40% humidity and 10 degrees Celsius, and sends this information to the server. The server recommends lavender aromatherapy, which has a calming effect, and instructs the device on how to provide a relaxing atmosphere.

[0371] An example of a prompt for a generative AI model is, "Please input the user's skin condition, emotional state, and climate conditions, and suggest the best selection of aromatherapy and skincare products." Based on this prompt, the AI ​​will provide optimal suggestions tailored to the user's condition.

[0372] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0373] Step 1:

[0374] The device provides an interface that allows users to input skin condition data using their smartphones or tablets. Users input information such as "dry skin" or "sensitive skin," and this data is stored on the device.

[0375] Step 2:

[0376] The device uses a camera and microphone to analyze the user's facial expressions and voice tone in real time. Using the user's image and voice data as input, the emotion engine determines the user's emotional state. Emotional state data is generated as output.

[0377] Step 3:

[0378] The device obtains current weather conditions from weather information services via an internet connection. Data such as temperature, humidity, and UV index are obtained as input data and stored as weather information.

[0379] Step 4:

[0380] The device integrates skin condition data, emotional state data, and climate information, and sends them to the server in a single batch. This allows the server to receive the information and prepare for the next processing step.

[0381] Step 5:

[0382] The server then uses the received data to initiate analysis by an AI agent. Using skin condition, emotional state, and climate information as input data, the AI ​​model suggests the most suitable cosmetic products and aromatherapy for the day to the user.

[0383] Step 6:

[0384] The server sends the generated suggestions to the terminal. The terminal then prepares to notify the user of the suggested content as output.

[0385] Step 7:

[0386] Based on the received suggestions, the device notifies the user and activates a relaxing aroma diffuser. For example, based on the suggestion, it might diffuse lavender aroma oil and play calming music using its music playback function.

[0387] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0388] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0389] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0390] [Third Embodiment]

[0391] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0392] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0393] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0394] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0395] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0396] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0397] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0398] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0399] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0400] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0401] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0402] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0403] This invention is a system that suggests appropriate cosmetics based on the user's individual skin condition and daily weather conditions. The user uses a device such as a smartphone or tablet to input information about their skin condition. The device uses an internet connection to obtain the latest weather data from weather information services.

[0404] The terminal transmits skin condition data entered by the user and acquired climate data to the server. The server analyzes the received data in real time and runs an algorithm to select the most suitable cosmetics for the user's skin. The server utilizes machine learning models and compares them with past data to recommend the optimal product and its usage method according to the individual's conditions.

[0405] The generated suggestions are sent to the device and the user is notified. The user reviews them and decides whether to select the recommended cosmetics. This system flexibly adapts to daily changes and provides support for users to maintain their beauty while preventing skin problems.

[0406] Specific example

[0407] For example, suppose a user opens the app for their morning skincare routine. The user enters "moderately dry skin," and the device retrieves the day's temperature (20 degrees Celsius), humidity (55%), and UV index (6) from a weather API. The device sends this data to the server. Based on the server's data analysis, a highly moisturizing cream and a foundation with UV protection are recommended. The server sends this recommendation to the user's device, making it easier for the user to choose skincare products that suit their skin and the weather conditions. This allows the user to efficiently perform their daily skincare and makeup routine.

[0408] The following describes the processing flow.

[0409] Step 1:

[0410] The user launches the application on their device and inputs their skin condition. For example, they might use a function to select options such as "dry skin" or "sensitive skin."

[0411] Step 2:

[0412] The device uses its internet connection to retrieve weather information from a weather forecast API. This includes the current location's temperature, humidity, and UV index.

[0413] Step 3:

[0414] The device sends the user's skin condition data and acquired climate data to the server. The data is encrypted and transferred in a secure manner.

[0415] Step 4:

[0416] The server inputs the received data into an AI agent, which then performs an analysis based on the user's skin condition and climate conditions. Here, a machine learning algorithm selects appropriate cosmetics by referring to past data and trends.

[0417] Step 5:

[0418] The server generates suggestions for optimal skincare and makeup products based on the analysis results. For example, it might suggest products such as "moisturizing cream" and "UV-blocking foundation."

[0419] Step 6:

[0420] The server sends the generated suggestions to the terminal. The suggestions are displayed on the terminal's application screen, allowing the user to review them.

[0421] Step 7:

[0422] The user reviews the suggestions displayed on their device and decides whether to select the displayed skincare methods or cosmetics. Based on the suggestions, the user decides to use the actual products.

[0423] (Example 1)

[0424] Next, we will describe Example 1. 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."

[0425] There is a challenge in quickly and accurately recommending cosmetics that are suitable for each individual user's skin condition and daily environmental conditions. Users have individual needs, and making the optimal choice based on the weather on any given day requires specialized knowledge and analysis based on past data. Against this backdrop, there is a need for a system that allows users to easily and efficiently select the most suitable cosmetics.

[0426] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0427] In this invention, the server includes means for analyzing skin condition information and environmental information, means for making recommendations using a machine learning model based on past information, and means for transmitting the generated recommendations to an information terminal. This makes it possible for users to easily select cosmetics that are best suited to their skin condition and climate conditions on any given day.

[0428] A "user" refers to a person who uses a data processing system to input their own skin condition and receive recommendations for the most suitable cosmetics.

[0429] "Epidermal condition" refers to information indicating the state of the user's skin, such as its moisture content, oil content, and sensitivity.

[0430] An "information terminal" refers to an electronic device used by users to input skin condition information, acquire environmental conditions, and transmit data to an information processing device.

[0431] "Environmental conditions" refer to information about the weather on that day, such as temperature, humidity, and UV index.

[0432] An "information processing device" refers to a device that analyzes skin condition information and environmental information transmitted from an information terminal and generates recommendations for the most suitable cosmetics.

[0433] "Analysis" refers to the process by which an information processing device evaluates epidermal condition information and environmental conditions to derive cosmetic product recommendations.

[0434] A "machine learning model" refers to an algorithm or mathematical model that learns from past information and recommends the most suitable cosmetics to users.

[0435] "Recommendation" refers to the information processing device presenting the user with the most suitable cosmetics and their usage instructions.

[0436] This invention is a data processing system that uses an information terminal to acquire the user's skin condition and environmental conditions, analyzes them with an information processing device, and recommends the most suitable cosmetics. The user inputs their skin condition using an information terminal such as a smartphone or tablet. The skin condition is input as text or photo data using an application. The information terminal utilizes an API of a weather information service to acquire environmental conditions via the network. For example, it collects temperature, humidity, UV index, etc., in real time.

[0437] The information terminal sends this data to the information processing device in JSON format. The information processing device analyzes the received data using programming languages ​​such as Python and machine learning frameworks such as TensorFlow. A machine learning model is used for the analysis, and while comparing it with past information, it recommends cosmetics that are best suited to the user's skin condition and environmental conditions.

[0438] Recommendations generated by the information processing device are sent to the information terminal and notified to the user. For example, if a user launches the application in the morning and enters "moderately dry skin," the information terminal retrieves from the weather API that the temperature for that day is 20 degrees Celsius, the humidity is 55%, and the UV index is 6. This information is sent to the information processing device, and as a result of the analysis, a highly moisturizing cream and a foundation with UV protection are recommended.

[0439] An example of a prompt message could be, "Please recommend cosmetics suitable for these climate conditions and skin condition." This system makes it easier for users to optimize their daily skincare routine and efficiently select the necessary products under specific conditions.

[0440] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0441] Step 1:

[0442] Users input their skin condition using their own information terminals. Specifically, they input text descriptions such as "moderately dry skin" through the application, or take photos of their skin using the camera function. In this way, users provide the system with the necessary input data.

[0443] Step 2:

[0444] The device obtains environmental conditions via the internet. Specifically, it retrieves data such as current temperature, humidity, and UV index in JSON format through weather information APIs like OpenWeatherMap. This input data is then used for subsequent analysis.

[0445] Step 3:

[0446] The terminal transmits the acquired surface condition data and environmental condition data to the information processing device. Here, the terminal packages this data into a single JSON object and sends it to the information processing device as a POST request using a RESTful API.

[0447] Step 4:

[0448] The server (information processing device) analyzes the received data. Based on the received input data, it uses Python to input that data into a machine learning model and performs the necessary data processing and numerical calculations. This generates a list of cosmetics that are best suited to the user's conditions as output.

[0449] Step 5:

[0450] The server sends back the list of recommended cosmetics generated through analysis to the terminal. The generated recommendation data is converted back into JSON format and received by the information terminal.

[0451] Step 6:

[0452] The device displays the received recommendation data on the user interface. Users can review this and use it as a reference when selecting the optimal cosmetics suggested by the generating AI model.

[0453] (Application Example 1)

[0454] Next, we will explain Application Example 1. In the following explanation, 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."

[0455] When suggesting cosmetics tailored to each user's skin condition, it is necessary to provide information in the most suitable format for the user, while also considering environmental conditions. Furthermore, a system that can flexibly respond to individual user needs and changes in their living environment is required. However, existing systems often rely on devices for users to receive this information, resulting in poor user convenience. In addition, there is a challenge in collecting information and presenting suggestions in a natural mode, rather than relying solely on terminal input.

[0456] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0457] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data and climate data to the server, means for the server to analyze the skin condition data and climate data and suggest products, means for the server to transmit the suggestions generated by the server to the terminal or home appliance, and means for the home appliance to notify the user of the suggestions using voice or a display device. This allows the user to receive suggestions tailored to their individual needs in a more natural way while reducing the effort required for input.

[0458] "Means for users to input skin condition" refers to a device or method that provides an interface that allows a user to input information about their own skin condition.

[0459] "Means by which a terminal acquires climate information" refers to a device or method that has the function of collecting current weather data from external weather information services using an internet connection or the like.

[0460] "Means by which the terminal transmits skin condition data and climate data to the server" refers to means of transferring information about the skin condition provided by the user and weather information acquired by the terminal to the server via communication.

[0461] "A means by which a server analyzes skin condition data and climate data to suggest products" refers to a system that analyzes transmitted data, selects the optimal product based on the user's skin condition and weather conditions, and executes an algorithm to generate suggestions.

[0462] "Means for transmitting server-generated suggestions to terminals or home appliances" refers to a function that transfers product suggestions created by the server to the user's terminal or home appliances capable of displaying audio or visual information, and displays or notifies the user.

[0463] "Means by which home appliances notify users of suggestions using voice or display devices" refers to devices or functions for communicating suggested product information to users using voice output or displays.

[0464] The system realizing this invention operates in conjunction with a device including a smartphone or tablet and provides personalized cosmetic recommendations based on user input. The user inputs information about their skin condition into the device. The server receives this input data and, simultaneously, uses an internet connection to obtain the latest climate data from an external weather information service.

[0465] The server uses a machine learning model to analyze user skin condition data and acquired climate data to generate suggestions. This analysis also includes comparing historical user data with climate data. One example of the software used here is a generative AI model utilizing the scikit-learn library to make predictions with different features as input.

[0466] The generated suggestions are sent to the user's device or home appliance and notified to the user via voice output or display. To assist the user's daily life, home appliances can recognize the user's voice input using tools such as the Google Assistant SDK as voice recognition software.

[0467] As a concrete example, consider a scenario where a user registers "moderately dry skin" by voice in the morning, and the device retrieves the day's temperature, humidity, and UV index from a weather API. The server considers these factors and suggests a highly moisturizing cream and a foundation with UV protection, sending the results to the user's device. In this case, a possible prompt might be, "Please suggest winter moisturizing cosmetics best suited for dry skin."

[0468] In this way, users can easily choose the appropriate skincare products for their daily routine through their devices and home appliances.

[0469] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0470] Step 1:

[0471] The user uses a terminal to input information about their skin condition. This data includes skin type (e.g., dry skin, oily skin, etc.). The terminal temporarily stores this information and formats it into a format that can be used for subsequent processing.

[0472] Step 2:

[0473] The device uses an internet connection to obtain the latest climate data (e.g., temperature, humidity, UV index) from external weather information services. This allows the device to collect input information to prepare a dataset that takes into account the day's weather conditions.

[0474] Step 3:

[0475] The terminal sends user-inputted skin condition data and climate data obtained from weather information services to the server. The terminal integrates this data and sends it to the server as a single dataset.

[0476] Step 4:

[0477] The server uses a machine learning model to analyze the received data. Specifically, it uses the scikit-learn library to input this dataset into a model trained on accumulated historical data, and generates a list of suggested cosmetics. Data processing, such as feature extraction, is performed here.

[0478] Step 5:

[0479] The server sends the cosmetic product suggestions generated as a result of the analysis to a terminal or home appliance. The generated suggestions are then formatted to be presented to the user as audio or visual information.

[0480] Step 6:

[0481] Home appliances notify users of received suggestion information via voice output or display. Using voice recognition functionality, users can inquire about more detailed information using voice commands. This allows users to review recommended cosmetics and make selections that meet their needs.

[0482] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0483] This invention is a system that provides optimal cosmetic recommendations based on the user's skin condition, climate conditions, and emotional state. Users access the system via an application on their smartphone or tablet. First, the user inputs their skin condition into the app. This information includes, for example, "dry skin" or "sensitive skin."

[0484] Next, the device's emotion engine utilizes the user's camera and microphone to recognize their emotional state in real time from their facial expressions and tone of voice. This emotional data is used to understand the user's current state.

[0485] The device also obtains current weather information from weather forecast services via an internet connection. This includes data such as temperature, humidity, and UV index.

[0486] The device sends this data (skin condition, emotional state, and weather information) to the server. The server uses an AI agent to perform a comprehensive analysis based on the received data. Emotional data, in particular, can influence the choice of cosmetics for the day; for example, products containing aromatherapy ingredients that have stress-reducing effects may be recommended.

[0487] The generated suggestions are sent to the device and notified to the user. The user can then select cosmetics and skincare products that suit their mood and skin condition. This system allows users to enjoy more personalized skincare and makeup that is tailored to their individual health and emotional state.

[0488] Specific example

[0489] For example, when a user performs their morning skincare routine, they open the application and select "combination skin" as their skin type. The emotion engine recognizes from the user's facial expression that they are feeling somewhat stressed. In addition, it retrieves weather information, such as a temperature of 15 degrees Celsius and humidity of 45%. The device sends this information to the server, which recommends a cream containing calming ingredients to alleviate stress and a lightweight, moisturizing foundation. It also suggests cosmetics with fragrances that enhance relaxation, tailored to the user's emotional state. By following these suggestions and performing their skincare and makeup routine, the user can calm their mood while simultaneously caring for their skin.

[0490] The following describes the processing flow.

[0491] Step 1:

[0492] The user launches an application on their device and inputs their skin condition. Specifically, they select their current skin condition from options such as "dry skin" or "sensitive skin."

[0493] Step 2:

[0494] The device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes them to recognize their emotional state. In this process, emotions such as "stress" and "happiness" are identified.

[0495] Step 3:

[0496] The device accesses weather forecast services via the internet and obtains climate information, including temperature, humidity, and UV index, based on its current location.

[0497] Step 4:

[0498] The device combines skin condition data, emotional state data, and climate information it has acquired, and sends the data to the server. A secure protocol is used for this transmission, ensuring security.

[0499] Step 5:

[0500] The server inputs the received data into the AI ​​agent, which then performs a harmonious analysis. Here, a machine learning algorithm designs cosmetic recommendations that also take the user's emotions into consideration.

[0501] Step 6:

[0502] Based on the analysis results, the server generates recommendations for optimal skincare products and cosmetics. For example, it might recommend products such as a moisturizing cream containing relaxing ingredients or a light makeup foundation.

[0503] Step 7:

[0504] The server sends the generated suggestion to the terminal. The terminal notifies the user and displays the suggestion.

[0505] Step 8:

[0506] Users review the suggestions displayed on their device and decide whether or not to use the suggested skincare products and cosmetics. They make choices that are appropriate to their own feelings and skin condition.

[0507] (Example 2)

[0508] Next, we will describe Example 2. 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."

[0509] Conventional cosmetic recommendation systems only considered the user's skin condition and climate information, making it difficult to reflect the user's emotional state. Therefore, there was a need for recommendations that were more tailored to individual users. Furthermore, there was a lack of technology to flexibly update recommendations in response to real-time changes in emotional states.

[0510] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0511] In this invention, the server includes means for generating suggestions by comprehensively analyzing received skin condition data, emotional state data, and climate data using a generative AI model; means for customizing skin condition information based on user input and emotion recognition; and means for flexibly updating suggestions based on historical and real-time data. This makes it possible to provide users with more personalized cosmetic suggestions in real time.

[0512] A "user" refers to an individual who uses the system to input their skin condition and emotional state, and receives recommendations for the most suitable cosmetics.

[0513] A "terminal" refers to a device operated by a user, equipped with functions for inputting skin condition, recognizing emotional states, acquiring climate information, and transmitting and receiving data.

[0514] A "server" refers to a computing system that receives data sent from terminals, analyzes the data using a generative AI model, and generates and sends cosmetic product recommendations.

[0515] A "generative AI model" refers to an artificial intelligence model that runs on a server, performs complex data analysis, and is used to derive optimal cosmetic product recommendations.

[0516] "Skin condition data" refers to information about the characteristics of the user's skin that is entered via the device.

[0517] "Emotional state data" refers to information about the user's emotions that the device recognizes from the user's facial expressions and voice using its camera and microphone.

[0518] "Climate information" refers to information about weather conditions in the environment, such as temperature, humidity, and UV index, which a device obtains through its internet connection.

[0519] "Suggestions" refer to information provided as optimal cosmetic and skincare product options, based on the server's analysis of user data using a generated AI model.

[0520] This invention is a system that combines the user's skin condition, emotional state, and climate information to suggest the most suitable cosmetics. Specifically, the user launches an application using a smartphone or tablet (device) and first inputs their skin condition. Skin condition includes "dry skin," "combination skin," etc. Next, an emotion engine is activated through the camera and microphone built into the device to recognize the user's emotional state from their facial expressions and voice. The emotional data obtained at this stage is used to understand the user's mental state.

[0521] Furthermore, the device has a mechanism to obtain current climate information from weather forecast services via an internet connection. The information obtained consists of temperature, humidity, UV index, etc. Such data is important for users to understand the environmental conditions in which they live.

[0522] All data is transmitted from the terminal to the server, where a generative AI model analyzes this combined data. This analysis aims to identify the cosmetics best suited to the user's specific situation and emotions. The generative AI model considers each user data point to generate suggestions for effective cosmetics and skincare products. In particular, when the user is feeling stressed, products containing aromatic ingredients that promote relaxation may be recommended.

[0523] Finally, the suggested results are sent from the server to the terminal and notified to the user. Based on this information, the user can select appropriate products from the list of cosmetics provided on the application. This enables personalized skincare and makeup.

[0524] As a concrete example, consider a scenario where a user selects "combination skin" in the application, and the system detects, via camera, that the user is experiencing some stress. Furthermore, assume that the system acquires climate conditions of 15 degrees Celsius and 45% humidity. In this case, the server can suggest a cream containing a relaxing fragrance and calming ingredients. An example of a prompt might be, "User information: combination skin, emotion: stressed, climate: 15 degrees Celsius, humidity: 45%. Please suggest the best cosmetics under these conditions." In this way, by utilizing a generative AI model, users can receive real-time suggestions for the products best suited to them.

[0525] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0526] Step 1:

[0527] The user launches the application on their device and inputs their skin condition. The input skin condition data is selected from options such as "dry skin," "sensitive skin," and "combination skin." The device performs an input operation to save this input data internally. The output is the user's skin condition data.

[0528] Step 2:

[0529] The device uses a camera and microphone to recognize the user's emotional state. It utilizes speech recognition software and image processing technology to analyze the user's facial expressions and voice tone in real time. Based on this analysis, it determines the emotional state and outputs emotional data such as "relaxed" or "stressed."

[0530] Step 3:

[0531] The device accesses weather forecast services via an internet connection to obtain current climate information. It collects weather data such as temperature, humidity, and UV index from an external database. This acquired climate data is stored on the device. The output provides current climate information.

[0532] Step 4:

[0533] The terminal transmits collected skin condition data, emotional state data, and climate data to the server. It uses a communication protocol to packetize the data and transmit it to the server over the network. The output consists of a data package for the server to receive.

[0534] Step 5:

[0535] The server performs analysis using a generated AI model based on the received data. The server utilizes these data points to identify the most suitable cosmetics and skincare products for each user. As a result of the AI ​​analysis, cosmetic suggestions based on prompt messages are generated. The output is a list of cosmetics suitable for the user.

[0536] Step 6:

[0537] The server sends the generated cosmetic product suggestions to the terminal. Here too, data is transferred using a communication protocol. The terminal receives these suggestions and begins the process of notifying the user. The output is the notification data from the terminal.

[0538] Step 7:

[0539] Users review cosmetic suggestions displayed on their device and select the products best suited to their preferences. They then perform skincare and makeup based on these recommendations. As output, users receive personalized products and methods to incorporate into their daily skincare routine.

[0540] (Application Example 2)

[0541] Next, we will explain application example 2. In the following explanation, 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."

[0542] This invention relates to a system that integrates a user's skin condition, climate conditions, and emotional state to provide optimal cosmetic recommendations for each individual user. In particular, it aims to enable more personalized and comfortable daily care by automatically combining aromatherapy and relaxation functions according to the user's emotional state during daily skincare and makeup application.

[0543] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0544] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data, climate data, and emotional state data to the server, means for the server to analyze the skin condition data, climate data, and emotional state data to generate cosmetic recommendations, means for the terminal to perform operations to prepare a critical state for the user based on the recommendations, and means for the server to transmit the generated recommendations to the terminal. This enables personalized skincare and aromatherapy experiences based on the user's health condition and emotions.

[0545] A "means for users to input skin condition information" refers to an interface used by users to input their skin characteristics and condition into an electronic device.

[0546] "Means by which a device acquires climate information" refers to the function by which an electronic device collects current weather conditions via the internet.

[0547] "Means by which the terminal transmits skin condition data, climate data, and emotional state data to the server" refers to a communication function for transferring the skin data entered by the user, along with the acquired climate information and emotional state, to a central data processing unit.

[0548] "A means by which a server analyzes skin condition data, climate data, and emotional state data to generate cosmetic recommendations" refers to a data processing device that uses a computational algorithm to recommend the most suitable cosmetic product based on the collected data.

[0549] "Means by which the terminal performs operations to prepare a critical state for the user based on suggestions" refers to a function that automatically adjusts fragrances and music based on cosmetic suggestions received from the server to adjust the user's emotions and state.

[0550] "Means of sending server-generated suggestions to the terminal" refers to a communication function that delivers cosmetic recommendations created by a data processing device to the user's electronic device.

[0551] In the system realizing this invention, the user can input their skin condition using a terminal equipped with facial recognition capabilities. The terminal uses a camera and microphone to analyze the user's facial expressions and voice tone, and acquires data on their emotional state. The terminal can also acquire weather information via an internet connection, specifically including data such as temperature, humidity, and UV index.

[0552] The device sends acquired skin condition data, climate information, and emotional state data to a server. The server aggregates this data and analyzes it using an AI agent. In particular, the generative AI model emphasizes emotional state and suggests aromatherapy components and relaxing music that address the day's stress levels.

[0553] Furthermore, the suggestions are sent to the device, allowing the user to select skincare and makeup products based on those recommendations. The device can also automatically activate an aroma diffuser tailored to the user's emotional state, providing a relaxing environment.

[0554] As a concrete example, when a user runs the program in the morning, the device scans the user's face and recognizes that they have "dry skin," while the emotion engine detects that they are feeling anxious. It also retrieves the day's weather information, such as 40% humidity and 10 degrees Celsius, and sends this information to the server. The server recommends lavender aromatherapy, which has a calming effect, and instructs the device on how to provide a relaxing atmosphere.

[0555] An example of a prompt for a generative AI model is, "Please input the user's skin condition, emotional state, and climate conditions, and suggest the best selection of aromatherapy and skincare products." Based on this prompt, the AI ​​will provide optimal suggestions tailored to the user's condition.

[0556] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0557] Step 1:

[0558] The device provides an interface that allows users to input skin condition data using their smartphones or tablets. Users input information such as "dry skin" or "sensitive skin," and this data is stored on the device.

[0559] Step 2:

[0560] The device uses a camera and microphone to analyze the user's facial expressions and voice tone in real time. Using the user's image and voice data as input, the emotion engine determines the user's emotional state. Emotional state data is generated as output.

[0561] Step 3:

[0562] The device obtains current weather conditions from weather information services via an internet connection. Data such as temperature, humidity, and UV index are obtained as input data and stored as weather information.

[0563] Step 4:

[0564] The device integrates skin condition data, emotional state data, and climate information, and sends them to the server in a single batch. This allows the server to receive the information and prepare for the next processing step.

[0565] Step 5:

[0566] The server then uses the received data to initiate analysis by an AI agent. Using skin condition, emotional state, and climate information as input data, the AI ​​model suggests the most suitable cosmetic products and aromatherapy for the day to the user.

[0567] Step 6:

[0568] The server sends the generated suggestions to the terminal. The terminal then prepares to notify the user of the suggested content as output.

[0569] Step 7:

[0570] Based on the received suggestions, the device notifies the user and activates a relaxing aroma diffuser. For example, based on the suggestion, it might diffuse lavender aroma oil and play calming music using its music playback function.

[0571] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0572] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0573] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0574] [Fourth Embodiment]

[0575] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0576] As shown in Figure 7, the 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.

[0577] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0578] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0579] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0580] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0581] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0582] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0583] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0584] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0585] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0586] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0587] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0588] This invention is a system that suggests appropriate cosmetics based on the user's individual skin condition and daily weather conditions. The user uses a device such as a smartphone or tablet to input information about their skin condition. The device uses an internet connection to obtain the latest weather data from weather information services.

[0589] The terminal transmits skin condition data entered by the user and acquired climate data to the server. The server analyzes the received data in real time and runs an algorithm to select the most suitable cosmetics for the user's skin. The server utilizes machine learning models and compares them with past data to recommend the optimal product and its usage method according to the individual's conditions.

[0590] The generated suggestions are sent to the device and the user is notified. The user reviews them and decides whether to select the recommended cosmetics. This system flexibly adapts to daily changes and provides support for users to maintain their beauty while preventing skin problems.

[0591] Specific example

[0592] For example, suppose a user opens the app for their morning skincare routine. The user enters "moderately dry skin," and the device retrieves the day's temperature (20 degrees Celsius), humidity (55%), and UV index (6) from a weather API. The device sends this data to the server. Based on the server's data analysis, a highly moisturizing cream and a foundation with UV protection are recommended. The server sends this recommendation to the user's device, making it easier for the user to choose skincare products that suit their skin and the weather conditions. This allows the user to efficiently perform their daily skincare and makeup routine.

[0593] The following describes the processing flow.

[0594] Step 1:

[0595] The user launches the application on their device and inputs their skin condition. For example, they might use a function to select options such as "dry skin" or "sensitive skin."

[0596] Step 2:

[0597] The device uses its internet connection to retrieve weather information from a weather forecast API. This includes the current location's temperature, humidity, and UV index.

[0598] Step 3:

[0599] The device sends the user's skin condition data and acquired climate data to the server. The data is encrypted and transferred in a secure manner.

[0600] Step 4:

[0601] The server inputs the received data into an AI agent, which then performs an analysis based on the user's skin condition and climate conditions. Here, a machine learning algorithm selects appropriate cosmetics by referring to past data and trends.

[0602] Step 5:

[0603] The server generates suggestions for optimal skincare and makeup products based on the analysis results. For example, it might suggest products such as "moisturizing cream" and "UV-blocking foundation."

[0604] Step 6:

[0605] The server sends the generated suggestions to the terminal. The suggestions are displayed on the terminal's application screen, allowing the user to review them.

[0606] Step 7:

[0607] The user reviews the suggestions displayed on their device and decides whether to select the displayed skincare methods or cosmetics. Based on the suggestions, the user decides to use the actual products.

[0608] (Example 1)

[0609] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0610] There is a challenge in quickly and accurately recommending cosmetics that are suitable for each individual user's skin condition and daily environmental conditions. Users have individual needs, and making the optimal choice based on the weather on any given day requires specialized knowledge and analysis based on past data. Against this backdrop, there is a need for a system that allows users to easily and efficiently select the most suitable cosmetics.

[0611] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0612] In this invention, the server includes means for analyzing skin condition information and environmental information, means for making recommendations using a machine learning model based on past information, and means for transmitting the generated recommendations to an information terminal. This makes it possible for users to easily select cosmetics that are best suited to their skin condition and climate conditions on any given day.

[0613] A "user" refers to a person who uses a data processing system to input their own skin condition and receive recommendations for the most suitable cosmetics.

[0614] "Epidermal condition" refers to information indicating the state of the user's skin, such as its moisture content, oil content, and sensitivity.

[0615] An "information terminal" refers to an electronic device used by users to input skin condition information, acquire environmental conditions, and transmit data to an information processing device.

[0616] "Environmental conditions" refer to information about the weather on that day, such as temperature, humidity, and UV index.

[0617] An "information processing device" refers to a device that analyzes skin condition information and environmental information transmitted from an information terminal and generates recommendations for the most suitable cosmetics.

[0618] "Analysis" refers to the process by which an information processing device evaluates epidermal condition information and environmental conditions to derive cosmetic product recommendations.

[0619] A "machine learning model" refers to an algorithm or mathematical model that learns from past information and recommends the most suitable cosmetics to users.

[0620] "Recommendation" refers to the information processing device presenting the user with the most suitable cosmetics and their usage instructions.

[0621] This invention is a data processing system that uses an information terminal to acquire the user's skin condition and environmental conditions, analyzes them with an information processing device, and recommends the most suitable cosmetics. The user inputs their skin condition using an information terminal such as a smartphone or tablet. The skin condition is input as text or photo data using an application. The information terminal utilizes an API of a weather information service to acquire environmental conditions via the network. For example, it collects temperature, humidity, UV index, etc., in real time.

[0622] The information terminal sends this data to the information processing device in JSON format. The information processing device analyzes the received data using programming languages ​​such as Python and machine learning frameworks such as TensorFlow. A machine learning model is used for the analysis, and while comparing it with past information, it recommends cosmetics that are best suited to the user's skin condition and environmental conditions.

[0623] Recommendations generated by the information processing device are sent to the information terminal and notified to the user. For example, if a user launches the application in the morning and enters "moderately dry skin," the information terminal retrieves from the weather API that the temperature for that day is 20 degrees Celsius, the humidity is 55%, and the UV index is 6. This information is sent to the information processing device, and as a result of the analysis, a highly moisturizing cream and a foundation with UV protection are recommended.

[0624] An example of a prompt message could be, "Please recommend cosmetics suitable for these climate conditions and skin condition." This system makes it easier for users to optimize their daily skincare routine and efficiently select the necessary products under specific conditions.

[0625] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0626] Step 1:

[0627] Users input their skin condition using their own information terminals. Specifically, they input text descriptions such as "moderately dry skin" through the application, or take photos of their skin using the camera function. In this way, users provide the system with the necessary input data.

[0628] Step 2:

[0629] The device obtains environmental conditions via the internet. Specifically, it retrieves data such as current temperature, humidity, and UV index in JSON format through weather information APIs like OpenWeatherMap. This input data is then used for subsequent analysis.

[0630] Step 3:

[0631] The terminal transmits the acquired surface condition data and environmental condition data to the information processing device. Here, the terminal packages this data into a single JSON object and sends it to the information processing device as a POST request using a RESTful API.

[0632] Step 4:

[0633] The server (information processing device) analyzes the received data. Based on the received input data, it uses Python to input that data into a machine learning model and performs the necessary data processing and numerical calculations. This generates a list of cosmetics that are best suited to the user's conditions as output.

[0634] Step 5:

[0635] The server sends back the list of recommended cosmetics generated through analysis to the terminal. The generated recommendation data is converted back into JSON format and received by the information terminal.

[0636] Step 6:

[0637] The device displays the received recommendation data on the user interface. Users can review this and use it as a reference when selecting the optimal cosmetics suggested by the generating AI model.

[0638] (Application Example 1)

[0639] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0640] When suggesting cosmetics tailored to each user's skin condition, it is necessary to provide information in the most suitable format for the user, while also considering environmental conditions. Furthermore, a system that can flexibly respond to individual user needs and changes in their living environment is required. However, existing systems often rely on devices for users to receive this information, resulting in poor user convenience. In addition, there is a challenge in collecting information and presenting suggestions in a natural mode, rather than relying solely on terminal input.

[0641] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0642] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data and climate data to the server, means for the server to analyze the skin condition data and climate data and suggest products, means for the server to transmit the suggestions generated by the server to the terminal or home appliance, and means for the home appliance to notify the user of the suggestions using voice or a display device. This allows the user to receive suggestions tailored to their individual needs in a more natural way while reducing the effort required for input.

[0643] "Means for users to input skin condition" refers to a device or method that provides an interface that allows a user to input information about their own skin condition.

[0644] "Means by which a terminal acquires climate information" refers to a device or method that has the function of collecting current weather data from external weather information services using an internet connection or the like.

[0645] "Means by which the terminal transmits skin condition data and climate data to the server" refers to means of transferring information about the skin condition provided by the user and weather information acquired by the terminal to the server via communication.

[0646] "A means by which a server analyzes skin condition data and climate data to suggest products" refers to a system that analyzes transmitted data, selects the optimal product based on the user's skin condition and weather conditions, and executes an algorithm to generate suggestions.

[0647] "Means for transmitting server-generated suggestions to terminals or home appliances" refers to a function that transfers product suggestions created by the server to the user's terminal or home appliances capable of displaying audio or visual information, and displays or notifies the user.

[0648] "Means by which home appliances notify users of suggestions using voice or display devices" refers to devices or functions for communicating suggested product information to users using voice output or displays.

[0649] The system realizing this invention operates in conjunction with a device including a smartphone or tablet and provides personalized cosmetic recommendations based on user input. The user inputs information about their skin condition into the device. The server receives this input data and, simultaneously, uses an internet connection to obtain the latest climate data from an external weather information service.

[0650] The server uses a machine learning model to analyze user skin condition data and acquired climate data to generate suggestions. This analysis also includes comparing historical user data with climate data. One example of the software used here is a generative AI model utilizing the scikit-learn library to make predictions with different features as input.

[0651] The generated suggestions are sent to the user's device or home appliance and notified to the user via voice output or display. To assist the user's daily life, home appliances can recognize the user's voice input using tools such as the Google Assistant SDK as voice recognition software.

[0652] As a concrete example, consider a scenario where a user registers "moderately dry skin" by voice in the morning, and the device retrieves the day's temperature, humidity, and UV index from a weather API. The server considers these factors and suggests a highly moisturizing cream and a foundation with UV protection, sending the results to the user's device. In this case, a possible prompt might be, "Please suggest winter moisturizing cosmetics best suited for dry skin."

[0653] In this way, users can easily choose the appropriate skincare products for their daily routine through their devices and home appliances.

[0654] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0655] Step 1:

[0656] The user uses a terminal to input information about their skin condition. This data includes skin type (e.g., dry skin, oily skin, etc.). The terminal temporarily stores this information and formats it into a format that can be used for subsequent processing.

[0657] Step 2:

[0658] The device uses an internet connection to obtain the latest climate data (e.g., temperature, humidity, UV index) from external weather information services. This allows the device to collect input information to prepare a dataset that takes into account the day's weather conditions.

[0659] Step 3:

[0660] The terminal sends user-inputted skin condition data and climate data obtained from weather information services to the server. The terminal integrates this data and sends it to the server as a single dataset.

[0661] Step 4:

[0662] The server uses a machine learning model to analyze the received data. Specifically, it uses the scikit-learn library to input this dataset into a model trained on accumulated historical data, and generates a list of suggested cosmetics. Data processing, such as feature extraction, is performed here.

[0663] Step 5:

[0664] The server sends the cosmetic product suggestions generated as a result of the analysis to a terminal or home appliance. The generated suggestions are then formatted to be presented to the user as audio or visual information.

[0665] Step 6:

[0666] Home appliances notify users of received suggestion information via voice output or display. Using voice recognition functionality, users can inquire about more detailed information using voice commands. This allows users to review recommended cosmetics and make selections that meet their needs.

[0667] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0668] This invention is a system that provides optimal cosmetic recommendations based on the user's skin condition, climate conditions, and emotional state. Users access the system via an application on their smartphone or tablet. First, the user inputs their skin condition into the app. This information includes, for example, "dry skin" or "sensitive skin."

[0669] Next, the device's emotion engine utilizes the user's camera and microphone to recognize their emotional state in real time from their facial expressions and tone of voice. This emotional data is used to understand the user's current state.

[0670] The device also obtains current weather information from weather forecast services via an internet connection. This includes data such as temperature, humidity, and UV index.

[0671] The device sends this data (skin condition, emotional state, and weather information) to the server. The server uses an AI agent to perform a comprehensive analysis based on the received data. Emotional data, in particular, can influence the choice of cosmetics for the day; for example, products containing aromatherapy ingredients that have stress-reducing effects may be recommended.

[0672] The generated suggestions are sent to the device and notified to the user. The user can then select cosmetics and skincare products that suit their mood and skin condition. This system allows users to enjoy more personalized skincare and makeup that is tailored to their individual health and emotional state.

[0673] Specific example

[0674] For example, when a user performs their morning skincare routine, they open the application and select "combination skin" as their skin type. The emotion engine recognizes from the user's facial expression that they are feeling somewhat stressed. In addition, it retrieves weather information, such as a temperature of 15 degrees Celsius and humidity of 45%. The device sends this information to the server, which recommends a cream containing calming ingredients to alleviate stress and a lightweight, moisturizing foundation. It also suggests cosmetics with fragrances that enhance relaxation, tailored to the user's emotional state. By following these suggestions and performing their skincare and makeup routine, the user can calm their mood while simultaneously caring for their skin.

[0675] The following describes the processing flow.

[0676] Step 1:

[0677] The user launches an application on their device and inputs their skin condition. Specifically, they select their current skin condition from options such as "dry skin" or "sensitive skin."

[0678] Step 2:

[0679] The device's emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes them to recognize their emotional state. In this process, emotions such as "stress" and "happiness" are identified.

[0680] Step 3:

[0681] The device accesses weather forecast services via the internet and obtains climate information, including temperature, humidity, and UV index, based on its current location.

[0682] Step 4:

[0683] The device combines skin condition data, emotional state data, and climate information it has acquired, and sends the data to the server. A secure protocol is used for this transmission, ensuring security.

[0684] Step 5:

[0685] The server inputs the received data into the AI ​​agent, which then performs a harmonious analysis. Here, a machine learning algorithm designs cosmetic recommendations that also take the user's emotions into consideration.

[0686] Step 6:

[0687] Based on the analysis results, the server generates recommendations for optimal skincare products and cosmetics. For example, it might recommend products such as a moisturizing cream containing relaxing ingredients or a light makeup foundation.

[0688] Step 7:

[0689] The server sends the generated suggestion to the terminal. The terminal notifies the user and displays the suggestion.

[0690] Step 8:

[0691] Users review the suggestions displayed on their device and decide whether or not to use the suggested skincare products and cosmetics. They make choices that are appropriate to their own feelings and skin condition.

[0692] (Example 2)

[0693] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0694] Conventional cosmetic recommendation systems only considered the user's skin condition and climate information, making it difficult to reflect the user's emotional state. Therefore, there was a need for recommendations that were more tailored to individual users. Furthermore, there was a lack of technology to flexibly update recommendations in response to real-time changes in emotional states.

[0695] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0696] In this invention, the server includes means for generating suggestions by comprehensively analyzing received skin condition data, emotional state data, and climate data using a generative AI model; means for customizing skin condition information based on user input and emotion recognition; and means for flexibly updating suggestions based on historical and real-time data. This makes it possible to provide users with more personalized cosmetic suggestions in real time.

[0697] A "user" refers to an individual who uses the system to input their skin condition and emotional state, and receives recommendations for the most suitable cosmetics.

[0698] A "terminal" refers to a device operated by a user, equipped with functions for inputting skin condition, recognizing emotional states, acquiring climate information, and transmitting and receiving data.

[0699] A "server" refers to a computing system that receives data sent from terminals, analyzes the data using a generative AI model, and generates and sends cosmetic product recommendations.

[0700] A "generative AI model" refers to an artificial intelligence model that runs on a server, performs complex data analysis, and is used to derive optimal cosmetic product recommendations.

[0701] "Skin condition data" refers to information about the characteristics of the user's skin that is entered via the device.

[0702] "Emotional state data" refers to information about the user's emotions that the device recognizes from the user's facial expressions and voice using its camera and microphone.

[0703] "Climate information" refers to information about weather conditions in the environment, such as temperature, humidity, and UV index, which a device obtains through its internet connection.

[0704] "Suggestions" refer to information provided as optimal cosmetic and skincare product options, based on the server's analysis of user data using a generated AI model.

[0705] This invention is a system that combines the user's skin condition, emotional state, and climate information to suggest the most suitable cosmetics. Specifically, the user launches an application using a smartphone or tablet (device) and first inputs their skin condition. Skin condition includes "dry skin," "combination skin," etc. Next, an emotion engine is activated through the camera and microphone built into the device to recognize the user's emotional state from their facial expressions and voice. The emotional data obtained at this stage is used to understand the user's mental state.

[0706] Furthermore, the device has a mechanism to obtain current climate information from weather forecast services via an internet connection. The information obtained consists of temperature, humidity, UV index, etc. Such data is important for users to understand the environmental conditions in which they live.

[0707] All data is transmitted from the terminal to the server, where a generative AI model analyzes this combined data. This analysis aims to identify the cosmetics best suited to the user's specific situation and emotions. The generative AI model considers each user data point to generate suggestions for effective cosmetics and skincare products. In particular, when the user is feeling stressed, products containing aromatic ingredients that promote relaxation may be recommended.

[0708] Finally, the suggested results are sent from the server to the terminal and notified to the user. Based on this information, the user can select appropriate products from the list of cosmetics provided on the application. This enables personalized skincare and makeup.

[0709] As a concrete example, consider a scenario where a user selects "combination skin" in the application, and the system detects, via camera, that the user is experiencing some stress. Furthermore, assume that the system acquires climate conditions of 15 degrees Celsius and 45% humidity. In this case, the server can suggest a cream containing a relaxing fragrance and calming ingredients. An example of a prompt might be, "User information: combination skin, emotion: stressed, climate: 15 degrees Celsius, humidity: 45%. Please suggest the best cosmetics under these conditions." In this way, by utilizing a generative AI model, users can receive real-time suggestions for the products best suited to them.

[0710] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0711] Step 1:

[0712] The user launches the application on their device and inputs their skin condition. The input skin condition data is selected from options such as "dry skin," "sensitive skin," and "combination skin." The device performs an input operation to save this input data internally. The output is the user's skin condition data.

[0713] Step 2:

[0714] The device uses a camera and microphone to recognize the user's emotional state. It utilizes speech recognition software and image processing technology to analyze the user's facial expressions and voice tone in real time. Based on this analysis, it determines the emotional state and outputs emotional data such as "relaxed" or "stressed."

[0715] Step 3:

[0716] The device accesses weather forecast services via an internet connection to obtain current climate information. It collects weather data such as temperature, humidity, and UV index from an external database. This acquired climate data is stored on the device. The output provides current climate information.

[0717] Step 4:

[0718] The terminal transmits collected skin condition data, emotional state data, and climate data to the server. It uses a communication protocol to packetize the data and transmit it to the server over the network. The output consists of a data package for the server to receive.

[0719] Step 5:

[0720] The server performs analysis using a generated AI model based on the received data. The server utilizes these data points to identify the most suitable cosmetics and skincare products for each user. As a result of the AI ​​analysis, cosmetic suggestions based on prompt messages are generated. The output is a list of cosmetics suitable for the user.

[0721] Step 6:

[0722] The server sends the generated cosmetic product suggestions to the terminal. Here too, data is transferred using a communication protocol. The terminal receives these suggestions and begins the process of notifying the user. The output is the notification data from the terminal.

[0723] Step 7:

[0724] Users review cosmetic suggestions displayed on their device and select the products best suited to their preferences. They then perform skincare and makeup based on these recommendations. As output, users receive personalized products and methods to incorporate into their daily skincare routine.

[0725] (Application Example 2)

[0726] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0727] This invention relates to a system that integrates a user's skin condition, climate conditions, and emotional state to provide optimal cosmetic recommendations for each individual user. In particular, it aims to enable more personalized and comfortable daily care by automatically combining aromatherapy and relaxation functions according to the user's emotional state during daily skincare and makeup application.

[0728] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0729] In this invention, the server includes means for the user to input their skin condition, means for the terminal to acquire climate information, means for the terminal to transmit skin condition data, climate data, and emotional state data to the server, means for the server to analyze the skin condition data, climate data, and emotional state data to generate cosmetic recommendations, means for the terminal to perform operations to prepare a critical state for the user based on the recommendations, and means for the server to transmit the generated recommendations to the terminal. This enables personalized skincare and aromatherapy experiences based on the user's health condition and emotions.

[0730] A "means for users to input skin condition information" refers to an interface used by users to input their skin characteristics and condition into an electronic device.

[0731] "Means by which a device acquires climate information" refers to the function by which an electronic device collects current weather conditions via the internet.

[0732] "Means by which the terminal transmits skin condition data, climate data, and emotional state data to the server" refers to a communication function for transferring the skin data entered by the user, along with the acquired climate information and emotional state, to a central data processing unit.

[0733] "A means by which a server analyzes skin condition data, climate data, and emotional state data to generate cosmetic recommendations" refers to a data processing device that uses a computational algorithm to recommend the most suitable cosmetic product based on the collected data.

[0734] "Means by which the terminal performs operations to prepare a critical state for the user based on suggestions" refers to a function that automatically adjusts fragrances and music based on cosmetic suggestions received from the server to adjust the user's emotions and state.

[0735] "Means of sending server-generated suggestions to the terminal" refers to a communication function that delivers cosmetic recommendations created by a data processing device to the user's electronic device.

[0736] In the system realizing this invention, the user can input their skin condition using a terminal equipped with facial recognition capabilities. The terminal uses a camera and microphone to analyze the user's facial expressions and voice tone, and acquires data on their emotional state. The terminal can also acquire weather information via an internet connection, specifically including data such as temperature, humidity, and UV index.

[0737] The device sends acquired skin condition data, climate information, and emotional state data to a server. The server aggregates this data and analyzes it using an AI agent. In particular, the generative AI model emphasizes emotional state and suggests aromatherapy components and relaxing music that address the day's stress levels.

[0738] Furthermore, the suggestions are sent to the device, allowing the user to select skincare and makeup products based on those recommendations. The device can also automatically activate an aroma diffuser tailored to the user's emotional state, providing a relaxing environment.

[0739] As a concrete example, when a user runs the program in the morning, the device scans the user's face and recognizes that they have "dry skin," while the emotion engine detects that they are feeling anxious. It also retrieves the day's weather information, such as 40% humidity and 10 degrees Celsius, and sends this information to the server. The server recommends lavender aromatherapy, which has a calming effect, and instructs the device on how to provide a relaxing atmosphere.

[0740] An example of a prompt for a generative AI model is, "Please input the user's skin condition, emotional state, and climate conditions, and suggest the best selection of aromatherapy and skincare products." Based on this prompt, the AI ​​will provide optimal suggestions tailored to the user's condition.

[0741] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0742] Step 1:

[0743] The device provides an interface that allows users to input skin condition data using their smartphones or tablets. Users input information such as "dry skin" or "sensitive skin," and this data is stored on the device.

[0744] Step 2:

[0745] The device uses a camera and microphone to analyze the user's facial expressions and voice tone in real time. Using the user's image and voice data as input, the emotion engine determines the user's emotional state. Emotional state data is generated as output.

[0746] Step 3:

[0747] The device obtains current weather conditions from weather information services via an internet connection. Data such as temperature, humidity, and UV index are obtained as input data and stored as weather information.

[0748] Step 4:

[0749] The device integrates skin condition data, emotional state data, and climate information, and sends them to the server in a single batch. This allows the server to receive the information and prepare for the next processing step.

[0750] Step 5:

[0751] The server then uses the received data to initiate analysis by an AI agent. Using skin condition, emotional state, and climate information as input data, the AI ​​model suggests the most suitable cosmetic products and aromatherapy for the day to the user.

[0752] Step 6:

[0753] The server sends the generated suggestions to the terminal. The terminal then prepares to notify the user of the suggested content as output.

[0754] Step 7:

[0755] Based on the received suggestions, the device notifies the user and activates a relaxing aroma diffuser. For example, based on the suggestion, it might diffuse lavender aroma oil and play calming music using its music playback function.

[0756] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0757] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0758] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0759] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0760] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0761] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0762] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0763] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0764] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0765] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0766] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0767] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0768] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0769] 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.

[0770] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0771] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0772] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0773] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0774] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0775] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0776] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0777] The following is further disclosed regarding the embodiments described above.

[0778] (Claim 1)

[0779] A means for the user to input their skin condition,

[0780] The means by which the terminal obtains climate information,

[0781] A means by which the terminal transmits skin condition data and climate data to a server,

[0782] A server analyzes skin condition data and climate data to generate cosmetic product suggestions,

[0783] A means of sending the server-generated proposal to the terminal,

[0784] A system that includes this.

[0785] (Claim 2)

[0786] The system according to claim 1, which can customize skin condition information based on user input.

[0787] (Claim 3)

[0788] The system according to claim 1, wherein the server uses a machine learning model to make suggestions based on historical data.

[0789] "Example 1"

[0790] (Claim 1)

[0791] A device in which the user inputs the condition of the epidermis,

[0792] A device that acquires environmental conditions from an information terminal,

[0793] A device that transmits skin condition information and environmental information from an information terminal to an information processing device,

[0794] An information processing device analyzes epidermal condition information and environmental information to generate cosmetic recommendations,

[0795] A device that transmits recommendations generated by an information processing device to an information terminal,

[0796] A data processing system that includes this.

[0797] (Claim 2)

[0798] A data processing system according to claim 1, capable of specializing epidermal condition information based on input from a user.

[0799] (Claim 3)

[0800] The data processing system according to claim 1, wherein the information processing device uses a machine learning model to perform recommendations based on past information.

[0801] "Application Example 1"

[0802] (Claim 1)

[0803] A means for the user to input their skin condition,

[0804] The means by which the terminal obtains climate information,

[0805] A means by which the terminal transmits skin condition data and climate data to a server,

[0806] A means by which a server analyzes skin condition data and climate data to suggest products,

[0807] A means for transmitting a proposal generated by the server to a terminal or home appliance,

[0808] A means by which home appliances notify the user of a suggestion using voice or a display device,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, wherein skin condition information can be customized based on user input, and the home appliance recognizes the user's input by voice.

[0812] (Claim 3)

[0813] The system according to claim 1, wherein a server uses a machine learning model to make suggestions based on historical data, and a home appliance provides those suggestions audibly or visually.

[0814] "Example 2 of combining an emotion engine"

[0815] (Claim 1)

[0816] A means for the user to input their skin condition,

[0817] A means by which the device recognizes emotional states,

[0818] The means by which the terminal obtains climate information,

[0819] A means by which the terminal transmits skin condition data, emotional state data, and climate data to a server,

[0820] A means by which a server analyzes skin condition data, emotional state data, and climate data to generate cosmetic product suggestions using an AI model,

[0821] A means of sending the server-generated proposal to the terminal,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, which can customize skin condition information based on user input and emotion recognition.

[0825] (Claim 3)

[0826] The system according to claim 1, wherein the server uses a generated AI model to make suggestions based on historical and real-time data.

[0827] "Application example 2 when combining with an emotional engine"

[0828] (Claim 1)

[0829] A means for the user to input their skin condition,

[0830] The means by which the terminal obtains climate information,

[0831] A means by which the terminal transmits skin condition data, climate data, and emotional state data to a server,

[0832] A server analyzes skin condition data, climate data, and emotional state data to generate cosmetic product recommendations.

[0833] A means by which the terminal performs operations to prepare a critical state for the user based on the proposal,

[0834] A means of sending the server-generated proposal to the terminal,

[0835] A system that includes this.

[0836] (Claim 2)

[0837] The system according to claim 1, which allows customization of skin condition information based on user input and also sets an aroma according to the user's emotional state.

[0838] (Claim 3)

[0839] The system according to claim 1, wherein the server uses a machine learning model to make suggestions based on past data and generates prompt sentences for the generative AI model. [Explanation of symbols]

[0840] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for the user to input their skin condition, The means by which the terminal obtains climate information, A means by which the terminal transmits skin condition data and climate data to a server, A means by which a server analyzes skin condition data and climate data to suggest products, A means for transmitting a proposal generated by the server to a terminal or home appliance, A means by which home appliances notify the user of a suggestion using voice or a display device, A system that includes this.

2. The system according to claim 1, wherein skin condition information can be customized based on user input, and the home appliance recognizes the user's input by voice.

3. The system according to claim 1, wherein a server uses a machine learning model to make suggestions based on past data, and a home appliance provides those suggestions by voice or visually.

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