system

Abstract

We provide the system. [Solution] An input means for receiving user input information, An analysis method for analyzing the received user information, Based on the analysis results obtained by the analysis means, a proposal means makes eco-friendly suggestions to the user, A notification means for notifying the user of the proposal generated by the proposal means, 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 method for controlling a persona chatbot, which is 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 as a 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] In recent years, despite the growing interest in environmental issues, there is a problem that it is difficult for individuals to practice specific eco-actions. Many people want to lead an eco-friendly life, but since they don't know how to act, their awareness is difficult to translate into action. There is also a problem that it is difficult to obtain specific proposals suitable for an individual's living environment.

Means for Solving the Problems

[0005] To address this challenge, the proposed system analyzes information entered by individual users and provides optimal eco-friendly suggestions based on the analysis results. Specifically, it collects information such as the user's place of residence, household energy consumption data, and information about the food in their refrigerator, and by analyzing this data, it automatically suggests appropriate eco-actions to the user. Furthermore, since the suggestions are quickly communicated to the user through notification methods, users can naturally choose sustainable behavior without requiring any special effort.

[0006] A "user" is an individual or entity that uses this system, provides the necessary information to the system, and is the target of eco-friendly suggestions.

[0007] "Input means" refers to interfaces and devices for receiving information from users, and has the function of acquiring data related to the user's living environment.

[0008] "Analysis means" refers to a method for analyzing information received from input means and deriving the optimal eco-friendly action based on the user's lifestyle patterns and environment.

[0009] A "proposal tool" is a tool that, based on the analysis results obtained by the analysis tool, has the function of recommending eco-friendly action plans and products to users.

[0010] "Notification means" refers to interfaces and devices for quickly and appropriately transmitting proposals and information generated by the proposal means to the user.

[0011] "Energy consumption data" refers to information that shows the amount and patterns of electricity used in a household, and is fundamental data for optimizing a user's energy usage.

[0012] "Food waste reduction" is a process of making effective use of food in refrigerators and pantries and reducing the amount of food that is wasted. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiment for Implementing the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one 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.

[0017] 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.

[0018] 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.

[0019] 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).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] To implement this invention, the user, terminal, and server must cooperate and each fulfill their respective roles. This system provides support for users to lead an eco-friendly lifestyle through an automated process.

[0035] First, the device provides an interface for the user to input initial information. Here, the user enters basic information such as their place of residence, family structure, and daily habits. The entered information is sent from the device to the server. The server analyzes the received information and generates the user's profile.

[0036] Next, to monitor energy consumption in the home, the device collects data from smart meters and various sensors within the home. The device periodically transfers this data to a server. The server analyzes the received power consumption data and generates suggestions for improving energy efficiency. This includes identifying peak usage times and suggesting ways to reduce unnecessary power consumption.

[0037] Furthermore, when a user enters a list of groceries to purchase, the terminal sends that list to the server. The server checks the database and suggests eco-labeled and locally sourced products. As a result, the terminal makes suggestions to encourage the user to choose more environmentally friendly products.

[0038] To reduce food waste, the device has a function to scan food items in the refrigerator. The device uses barcode and image recognition technology to obtain expiration date data for the food. It then sends this information to a server, which generates recipes to prioritize the consumption of food items nearing their expiration date. This suggestion is then notified to the user through the device.

[0039] In terms of transportation, when a user enters their destination into a terminal, the terminal sends that information to a server. The server then calculates the optimal mode of transportation based on map information and operational data, and suggests an eco-friendly way of traveling to the user.

[0040] These processes allow users to naturally incorporate eco-friendly actions into their daily lives. This invention provides a system that enables users to make environmentally conscious choices without even realizing it. Specific examples include reducing electricity costs through peak shifting proposals for power consumption and reducing waste through efficient use of food. All of these are mechanisms that provide users with optimal information and choices through collaboration between the server and the terminal.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user powers on the device, and the initial setup screen appears. The user enters information such as their place of residence, family structure, and lifestyle.

[0044] Step 2:

[0045] The terminal sends the entered user information to the server. The server receives the data and creates a basic profile of the user.

[0046] Step 3:

[0047] Energy consumption data is collected in real time through smart meters and sensors installed in the user's home. The device aggregates this data and sends it to a server.

[0048] Step 4:

[0049] The server analyzes the energy consumption data it receives to identify usage patterns and peak power consumption. Based on this, the server generates optimal energy-saving measures.

[0050] Step 5:

[0051] The generated energy-saving measures are sent to the device, which then notifies the user. The user can then review and implement the suggested measures.

[0052] Step 6:

[0053] The user enters their shopping list into the terminal. The terminal sends this information to the server.

[0054] Step 7:

[0055] The server searches the product database to identify eco-labeled products and local organic products. Based on this, the server creates a list of suggestions.

[0056] Step 8:

[0057] A list of suggestions is sent to the device, and the device then suggests eco-friendly products to the user.

[0058] Step 9:

[0059] The food items inside the refrigerator are scanned. The terminal uses barcode and image recognition technology to obtain expiration date information.

[0060] Step 10:

[0061] The terminal sends the collected food information to the server, which identifies food items nearing their expiration date. The server then generates recipes for using the food items.

[0062] Step 11:

[0063] The generated recipes are sent to the device, and the user receives notifications about the suggested recipes, allowing them to plan their food consumption.

[0064] Step 12:

[0065] When a user enters their destination into their device, their current location and destination information are sent to the server.

[0066] Step 13:

[0067] The server calculates the optimal transportation route and means. It compares public transport, bicycle, and walking routes and selects the most environmentally friendly mode of transport.

[0068] Step 14:

[0069] The server sends a recommended route to the device, and the device notifies the user of eco-friendly transportation options.

[0070] (Example 1)

[0071] 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."

[0072] In modern society, there is a need for support in easily adopting environmentally friendly lifestyles, but there is a lack of concrete and practical systems to encourage behavioral change in daily life. This invention aims to provide eco-friendly suggestions tailored to the user's lifestyle and promote sustainable behavior naturally and effortlessly.

[0073] 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.

[0074] In this invention, the server includes means for providing an interface for inputting information, input means for receiving user input information, analysis means for analyzing the received user information and generating a profile, means for suggesting eco-labeled products based on the analysis means and the database, means for scanning food data using management means and generating recipes for prioritizing food consumption, notification means for notifying the user of the suggestions, and means for receiving destination information and suggesting the optimal method of travel. This enables users to naturally make environmentally conscious choices and incorporate sustainable behaviors into their daily lives.

[0075] An "interface" is something that provides a means for users to input information.

[0076] An "input means" is a device or program that has the function of receiving information from the user.

[0077] "Analysis means" refers to a device or program that has the function of generating a profile based on the information received from the user.

[0078] A "proposal tool" refers to a device or program that has the function of making specific suggestions to the user based on analysis results and database information.

[0079] A "notification means" is a device or program that has the function of communicating the proposal generated by the proposal means to the user.

[0080] "Management means" refers to devices or programs that have the function of acquiring food data and performing further processing based on that data.

[0081] "Destination information" refers to data about the destination specified by the user.

[0082] The system for implementing this invention involves the cooperation of a server, a terminal, and a user. The server plays a central role in supporting the user's lifestyle in consideration of their environment. The terminal provides an interface for the user to input information and transmits the received information to the server.

[0083] First, the user uses their device to input initial information such as their place of residence, family structure, and lifestyle. This input information is sent to the server via the device. Based on the received information, the server uses a generated AI model to analyze the user's lifestyle and generate an individual profile.

[0084] The server also plays a role in managing energy consumption within the home. The terminal collects energy consumption data from smart meters and various sensors installed in the home and transmits it to the server. The server analyzes the received data and provides users with suggestions that help them understand peak usage times and reduce unnecessary consumption.

[0085] Furthermore, when users enter their daily grocery shopping list into the terminal, the server recommends eco-labeled products and locally sourced items. This information is based on a database, and the terminal makes suggestions to encourage more sustainable shopping.

[0086] To reduce food waste, the device scans the barcodes of food items in the refrigerator to determine their expiration dates. Based on the items nearing their expiration date, the server generates recipes that prioritize their consumption. This information is also communicated to the user through the device.

[0087] Regarding transportation suggestions, the terminal receives destination input from the user, and the server calculates the most eco-friendly mode of transport. This encourages users to choose options that are environmentally friendly, such as public transport, walking, or cycling.

[0088] For example, if you need to suggest eco-friendly recipes using ingredients found in your refrigerator, you can use the following prompt in the generating AI model: "Please suggest eco-friendly recipes using ingredients found in your refrigerator."

[0089] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0090] Step 1:

[0091] The user uses a device to input initial information such as place of residence, family structure, and lifestyle. The device organizes this input information and sends it to the server. The server performs data analysis based on the received information to generate a user profile and outputs the profile data.

[0092] Step 2:

[0093] The terminal collects real-time energy consumption data from smart meters and various sensors installed in the home. The terminal periodically transfers this data to a server. The server analyzes this input data, generates specific energy efficiency suggestions to reduce wasteful consumption, and outputs them to the terminal.

[0094] Step 3:

[0095] When a user enters their grocery shopping list into the terminal, the terminal sends this information to the server. The server compares this input information with a database, generates a list of recommended items, including eco-labeled products and locally sourced goods, and outputs the recommendations to the terminal. The terminal then notifies the user, encouraging them to make environmentally friendly choices.

[0096] Step 4:

[0097] The device scans food items in the refrigerator using barcode or image recognition technology and inputs the expiration date information. The device sends this data to a server, which generates recipes for consuming food items nearing their expiration date and outputs them to the device. This information is then communicated to the user through the device, enabling safe and effective food use.

[0098] Step 5:

[0099] When a user enters a destination into their device, the device sends that information to a server. The server uses map information and traffic data to calculate the optimal travel route and mode of transport to the destination. The server outputs these results to the device, which then suggests eco-friendly travel methods to the user.

[0100] (Application Example 1)

[0101] 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."

[0102] In modern life, minimizing the environmental impact of individual lifestyles is crucial. However, many people lack adequate information about energy consumption and transportation methods, and are unable to find concrete ways to improve their practices. Traditional methods struggle to automatically provide personalized, eco-friendly suggestions to individual users, hindering the adoption of eco-friendly actions in daily life.

[0103] 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.

[0104] In this invention, the server includes an information input means for receiving user input information, a data analysis means for analyzing the received user information, an information suggestion means for making eco-friendly suggestions to the user based on the analysis results obtained by the data analysis means, an energy optimization means for collecting energy consumption data, identifying peak usage times, and generating energy-saving suggestions, and a transportation suggestion means for suggesting the optimal means of transportation based on destination information. This supports specific and effective eco-friendly choices tailored to an individual's lifestyle, enabling actions that naturally reduce environmental impact in daily life.

[0105] "User input information" refers to personal information and preference data that users provide to the system.

[0106] "Information input means" refers to a device or program that has the function of obtaining information from a user.

[0107] A "data analysis tool" is a system that has the function of processing received data and extracting useful information about the user.

[0108] An "information suggestion tool" is a device or program that has the function of presenting recommendations or options to the user based on the analysis results.

[0109] An "information notification system" is a system that has a communication function to inform users of the generated proposals.

[0110] "Energy optimization means" refers to a function that analyzes household and individual energy consumption data and provides specific means to improve energy efficiency.

[0111] A "transportation suggestion device" is a device or program that has the function of suggesting the most suitable mode of transportation to a user based on information about their movement.

[0112] In implementing this invention, the user, terminal, and server must each fulfill their respective roles.

[0113] First, the user inputs personal information and data about their lifestyle. The device receives this information and sends it to the server. The server analyzes the input user information and uses data analysis tools to generate eco-friendly suggestions based on the user's behavior patterns and preferences.

[0114] The terminal is connected to a device that collects household energy consumption data, which is then transferred to a server. The server analyzes energy usage and identifies peak power consumption. This allows for specific suggestions to shift peak usage through energy optimization measures. Users receive these suggestions through notification mechanisms.

[0115] Furthermore, if a user wishes to travel, information about their departure and destination locations is sent from their device to the server. Based on geographical information and public transport operation data, the server uses a transportation suggestion system to calculate and provide the optimal travel route and mode of transport.

[0116] For example, if a user wants advice on saving energy, they can input a prompt such as "Generate advice on peak shifting of energy consumption" into the AI ​​model. Similarly, when searching for ecological transportation options to a destination, they can use a prompt such as "Tell me the most eco-friendly way to travel from my starting point to my destination."

[0117] Servers and terminals utilize cloud infrastructure and smart device software to effectively perform their respective processes. This enables the system to achieve real-time data processing and precise recommendations.

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] Users input personal information and lifestyle data into their devices. The devices then transmit the information received from the users to a server via an input mechanism. This input data forms the basis for the analysis performed by the server.

[0121] Step 2:

[0122] The server processes the received user information using data analysis tools. At this stage, it analyzes the user's behavior patterns and preferences based on the input information, and performs data processing to generate a profile. The analysis results form the basis for generating eco-friendly suggestions.

[0123] Step 3:

[0124] The device collects energy consumption data via smart meters and sensors installed in the home. This data is then transmitted to a server with detailed information about energy usage. This allows the server to monitor energy usage in real time.

[0125] Step 4:

[0126] The server analyzes energy consumption data and uses energy optimization techniques to identify peak usage times. This allows it to determine which time periods are most effective for energy conservation and generate specific energy-saving suggestions. The suggestions include changes to the amount of energy that can be saved and the recommended usage times.

[0127] Step 5:

[0128] When a user enters their travel preferences into a terminal, the terminal transmits that information to a server via a transportation suggestion system. The server uses geographical information and operational data to calculate the most economical mode of transportation and generates a suggestion for the user.

[0129] Step 6:

[0130] The server sends the generated suggestions to the terminal via a notification system, and the terminal presents them to the user. The final output includes specific energy-saving advice and recommended transportation options. As a result, users can easily practice eco-friendly choices in their daily lives.

[0131] 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.

[0132] This invention provides a system that takes into account the user's emotional state in order to support the user's eco-friendly lifestyle. This system encourages users to take environmentally conscious actions and provides more personalized suggestions based on their emotions.

[0133] First, the device collects basic information from the user. This includes their place of residence, family structure, and lifestyle. The device sends this information to a server, which analyzes it and creates a user profile.

[0134] Simultaneously, the device incorporates an emotion engine that can recognize the user's emotional state in real time using data such as voice, facial expressions, and behavior. This emotional information, along with the user's profile, is sent to a server.

[0135] The server optimizes suggestions based on the user's emotional state, using emotional information obtained from the emotion engine. For example, if a user is feeling stressed, it can suggest easy-to-implement eco-friendly actions or recommend eco-friendly products that can help them relax.

[0136] As a concrete application example, when scanning food information in a refrigerator, it is possible to analyze the user's emotional information as well, enabling the system to notify users of food waste reduction methods that eliminate factors influencing their emotions. Personalized advice that takes into account the user's emotions at the time is provided to make it easier for them to consciously take environmentally conscious actions.

[0137] In household energy management, the emotion engine analyzes data to understand power usage patterns associated with emotional states. This allows the server to design and suggest energy-saving methods that minimize stress to the user.

[0138] In this way, the present invention supports the transition to a sustainable lifestyle while prioritizing the emotional well-being of the user. This system allows users to easily and effectively incorporate eco-friendly actions into their daily lives.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] The user starts up the device, and a screen appears where they can enter basic information. The user enters information about their place of residence and lifestyle.

[0142] Step 2:

[0143] The terminal collects the entered user information and sends it to the server. The server generates a user profile based on the received information.

[0144] Step 3:

[0145] The emotion engine built into the device analyzes the user's voice and facial expression data in real time to recognize their emotional state. This emotional information is continuously collected while the user is using the system.

[0146] Step 4:

[0147] The device periodically sends emotional information it acquires to the server. The server analyzes the emotional data and updates the user's profile based on their current emotional state.

[0148] Step 5:

[0149] Users collect energy consumption data through smart meters and in-home sensors. The terminal aggregates this data and sends it to a server.

[0150] Step 6:

[0151] The server analyzes energy consumption data and combines it with emotional information to identify energy-saving methods that minimize stress. The server then generates optimized suggestions.

[0152] Step 7:

[0153] The generated energy management method is sent to the terminal, which then notifies the user of the suggestion. The user can then review and implement energy-saving methods that are less stressful for them.

[0154] Step 8:

[0155] When scanning food items in a refrigerator, the device collects expiration date data while taking emotional states into consideration.

[0156] Step 9:

[0157] The device sends collected food information and emotional data to the server. Based on this, the server creates an emotionally conscious food consumption plan.

[0158] Step 10:

[0159] A food consumption plan generated by the server is sent to the terminal, which then notifies the user. The user can then use recipes that suit their mood and consume food without waste.

[0160] Step 11:

[0161] When a user enters a destination, the device sends a request to the server to suggest the most suitable mode of transportation based on emotional information.

[0162] Step 12:

[0163] The server uses real-time traffic information and user sentiment data to select comfortable and eco-friendly modes of transportation.

[0164] Step 13:

[0165] The server sends the selected travel method to the terminal, which then notifies the user of the suggestion. The user can then use this information to make a travel choice.

[0166] (Example 2)

[0167] 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".

[0168] Traditional eco-friendly advice systems failed to consider the individual emotional states of users, often resulting in suggested advice that did not align with their emotional needs or circumstances. This presented challenges in ensuring the sustainability of environmentally conscious behaviors and their integration into users' lifestyles.

[0169] 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.

[0170] In this invention, the server includes an acquisition means for receiving data on the user's physiological state, an analysis means for performing emotion analysis based on the user information obtained from the acquisition means, and a suggestion means for creating ecological recommendations that take into account the user's emotional state based on the analysis results obtained by the analysis means. This enables personalized, eco-friendly suggestions that are tailored to the user's emotional state.

[0171] "Acquisition means" refers to a device or function for collecting data on the user's physiological state and incorporating it into the system.

[0172] "Analysis means" refers to a function or device that evaluates and analyzes emotional states based on user information obtained from acquisition means.

[0173] "Proposal means" refers to a device or function that uses the results obtained by the analysis means to generate ecological recommendations adapted to the user's emotional state.

[0174] "Communication means" refers to a device or function for delivering recommendations generated by the proposal means to the user.

[0175] "Collection means" refers to a device or function for collecting information related to energy consumption within a residence and using it for analysis.

[0176] "Management means" refers to a device or function for generating and providing appropriate waste reduction measures based on expiration date management information for food products.

[0177] This invention is a support system that promotes an ecological lifestyle for users. The system's main components are a terminal with multiple functions and a server to which that terminal connects.

[0178] The device is equipped with means for acquiring data on the user's physiological state. This means utilizes hardware such as cameras and microphones to collect data by monitoring the user's voice, facial expressions, and movements.

[0179] The collected data is transmitted from the terminal to the server, where it is analyzed by an analysis tool that performs sentiment analysis. This makes it possible to understand the user's emotional state in real time. Based on this analysis information, the server uses a suggestion tool to generate personalized ecological suggestions that are suitable for the user. The suggestion tool utilizes a generation AI model to recommend the most eco-friendly actions and products that take the user's emotional state into consideration.

[0180] In this system, generated suggestions are sent to the terminal via communication means and notified to the user. This notification is delivered in various ways, such as through a smartphone application or email.

[0181] For example, if a device collects data on household energy consumption, the data is analyzed on a server, and efficient energy management methods are suggested to the user, taking into account the user's emotional state. In food management, data on expiration dates is used, and advice to reduce food waste is provided according to the user's emotional state.

[0182] An example of a prompt for a generative AI model is, "Please suggest some simple, eco-friendly actions that can help a user relax when they are feeling stressed." This prompt allows the model to generate appropriate suggestions.

[0183] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0184] Step 1:

[0185] The device acquires physiological and environmental data from the user. This input includes voice, facial expressions, and information about the user's place of residence and family structure. The device acquires this data in real time through sensors and transmits it to a server in digital format.

[0186] Step 2:

[0187] The server performs sentiment analysis based on user data sent from the terminal. Input data includes audio and images. The server uses sentiment analysis algorithms to analyze changes in voice tone and facial expressions to determine the user's emotional state. As a result, a real-time sentiment report of the user is output.

[0188] Step 3:

[0189] The server uses sentiment reports and user profiles, along with a generative AI model, to generate eco-friendly suggestions. This process involves inputting prompts based on the user's emotional state, which the generative AI model then uses to output appropriate suggestions. The output is a list of user-optimized eco-actions and product recommendations.

[0190] Step 4:

[0191] The device notifies the user of eco-friendly actions suggested by the server. These notifications arrive to the user as an application or email. The creation of the notifications includes the visual and textual design of the suggestions, and is tailored to be easily understood by the user.

[0192] Step 5:

[0193] Users review the notifications and strive to implement the suggested actions. These actions may include trying simple eco-friendly practices suggested in their daily lives or purchasing recommended eco-friendly products. This contributes to the user's pursuit of a sustainable lifestyle.

[0194] (Application Example 2)

[0195] 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".

[0196] In modern urban life, achieving sustainable living requires individuals to consciously take environmentally conscious actions. However, general eco-friendly proposals often fail to consider users' feelings or individual circumstances, making it difficult for many users to sustainably maintain eco-friendly behavior. Furthermore, there is a lack of specific and personalized proposals for effectively managing urban energy resources and promoting participation in eco-activities throughout the community.

[0197] 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.

[0198] In this invention, the server includes an acquisition device that receives user input information, an analysis device that analyzes the acquired user information, a generation device that makes sustainable suggestions to the user based on the analysis results obtained by the analysis device, a communication device that notifies the user of the suggestions generated by the generation device, an identification device that identifies the user's emotional state, and an optimization device that optimizes the suggestion content using the emotional information obtained by the identification device. This makes it possible to propose specific and effective eco-friendly activities that take the emotions of each individual user into consideration.

[0199] An "acquisition device" is a device that accurately receives input information from the user and has the function of collecting data such as voice and location information.

[0200] An "analysis device" is a device that processes information collected by an acquisition device and analyzes the user's profile and emotional state.

[0201] A "generation device" is a device that generates suggestions for a sustainable lifestyle tailored to the user, based on the results obtained from an analysis device.

[0202] A "communication device" is a device used to notify users of suggestions created by a generation device, and it is linked to smartphones and other digital devices.

[0203] An "identification device" is a device that analyzes voice, facial expressions, and behavioral data to determine a user's emotional state and identify their emotions.

[0204] An "optimization device" is a device that uses emotional information obtained by an identification device to optimize the content of suggestions, taking into account the user's emotions.

[0205] A "data collection device" is a device that collects energy usage data and location information within a city, with the aim of sustainable energy management.

[0206] A "guidance device" is a device that guides users to the optimal activities and travel routes based on location information and eco-friendly suggestions.

[0207] This invention is a system designed to guide users' lives in an eco-friendly manner within a smart city environment. This system uses the user's smartphone or digital device to collect and analyze various data, and then provides personalized suggestions for a sustainable lifestyle.

[0208] The server collects user input information through an acquisition device. This information includes voice, location, and facial expression data. The collected data is processed by an analysis device to analyze the user's emotional state and energy usage patterns. For this analysis, analysis software such as IBM Watson® or Microsoft® Azure® Cognitive Services can be used.

[0209] Based on the analysis results, the generator creates eco-friendly suggestions best suited to the user's current situation. These may include suggestions for available bicycle sharing services and guidance on energy-saving routes. The generated suggestions are then sent to the user's smartphone via a communication device.

[0210] To understand user emotions in real time, an identification device identifies the emotional state based on data from voice and behavior, and an optimization device provides suggestions tailored to that emotion. This allows users to take action with less stress.

[0211] For example, if the user is determined to be in a normal state, the generator may suggest the most energy-efficient route for that day and propose the use of public transportation.

[0212] An example of a prompt for the generating AI model might be, "Generate real-time suggestions that take into account the user's emotional state to promote eco-friendly behavior."

[0213] In this way, the invention can be implemented through technical means and can support users' eco-friendly lifestyles.

[0214] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0215] Step 1:

[0216] The server obtains user input information from the terminal. This input information includes voice data, location information, and facial expression data. This data is collected by the acquisition device and sent to the server. The input includes data indicating the user's current location and emotions.

[0217] Step 2:

[0218] The server processes the acquired data using an analysis device. Using IBM Watson or Microsoft Azure Cognitive Services, it performs speech recognition and facial analysis to identify the user's emotional state. During this process, the analysis device extracts emotional states and energy usage patterns, generating user profile information as output.

[0219] Step 3:

[0220] Based on the user's profile information and emotional state, the server uses a generator to produce suggestions for sustainable living. Prompt messages are input into the generating AI model, which then suggests eco-friendly activities and routes tailored to the user's current situation. This step outputs specific eco-activity suggestions that align with the user's emotions.

[0221] Step 4:

[0222] The server notifies the user of the suggestions generated by the generator via a communication device. The notification is sent to the user's smartphone and displayed in real time. Here, the input is the generated suggestion, and the output is the notification message to the user.

[0223] Step 5:

[0224] The device sends the user's feedback back to the server. The user's response and selected suggestions are analyzed, and the server updates its database to improve future suggestions. The effectiveness of the suggestions is measured based on the feedback, and further data calculations are performed.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] [Second Embodiment]

[0229] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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).

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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".

[0241] To implement this invention, the user, terminal, and server must cooperate and each fulfill their respective roles. This system provides support for users to lead an eco-friendly lifestyle through an automated process.

[0242] First, the device provides an interface for the user to input initial information. Here, the user enters basic information such as their place of residence, family structure, and daily habits. The entered information is sent from the device to the server. The server analyzes the received information and generates the user's profile.

[0243] Next, to monitor energy consumption in the home, the device collects data from smart meters and various sensors within the home. The device periodically transfers this data to a server. The server analyzes the received power consumption data and generates suggestions for improving energy efficiency. This includes identifying peak usage times and suggesting ways to reduce unnecessary power consumption.

[0244] Furthermore, when a user enters a list of groceries to purchase, the terminal sends that list to the server. The server checks the database and suggests eco-labeled and locally sourced products. As a result, the terminal makes suggestions to encourage the user to choose more environmentally friendly products.

[0245] To reduce food waste, the device has a function to scan food items in the refrigerator. The device uses barcode and image recognition technology to obtain expiration date data for the food. It then sends this information to a server, which generates recipes to prioritize the consumption of food items nearing their expiration date. This suggestion is then notified to the user through the device.

[0246] In terms of transportation, when a user enters their destination into a terminal, the terminal sends that information to a server. The server then calculates the optimal mode of transportation based on map information and operational data, and suggests an eco-friendly way of traveling to the user.

[0247] These processes allow users to naturally incorporate eco-friendly actions into their daily lives. This invention provides a system that enables users to make environmentally conscious choices without even realizing it. Specific examples include reducing electricity costs through peak shifting proposals for power consumption and reducing waste through efficient use of food. All of these are mechanisms that provide users with optimal information and choices through collaboration between the server and the terminal.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] The user powers on the device, and the initial setup screen appears. The user enters information such as their place of residence, family structure, and lifestyle.

[0251] Step 2:

[0252] The terminal sends the entered user information to the server. The server receives the data and creates a basic profile of the user.

[0253] Step 3:

[0254] Energy consumption data is collected in real time through smart meters and sensors installed in the user's home. The device aggregates this data and sends it to a server.

[0255] Step 4:

[0256] The server analyzes the energy consumption data it receives to identify usage patterns and peak power consumption. Based on this, the server generates optimal energy-saving measures.

[0257] Step 5:

[0258] The generated energy-saving measures are sent to the device, which then notifies the user. The user can then review and implement the suggested measures.

[0259] Step 6:

[0260] The user enters their shopping list into the terminal. The terminal sends this information to the server.

[0261] Step 7:

[0262] The server searches the product database to identify eco-labeled products and local organic products. Based on this, the server creates a list of suggestions.

[0263] Step 8:

[0264] A list of suggestions is sent to the device, and the device then suggests eco-friendly products to the user.

[0265] Step 9:

[0266] The food items inside the refrigerator are scanned. The terminal uses barcode and image recognition technology to obtain expiration date information.

[0267] Step 10:

[0268] The terminal sends the collected food information to the server, which identifies food items nearing their expiration date. The server then generates recipes for using the food items.

[0269] Step 11:

[0270] The generated recipes are sent to the device, and the user receives notifications about the suggested recipes, allowing them to plan their food consumption.

[0271] Step 12:

[0272] When a user enters their destination into their device, their current location and destination information are sent to the server.

[0273] Step 13:

[0274] The server calculates the optimal transportation route and means. It compares public transport, bicycle, and walking routes and selects the most environmentally friendly mode of transport.

[0275] Step 14:

[0276] The server sends a recommended route to the device, and the device notifies the user of eco-friendly transportation options.

[0277] (Example 1)

[0278] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0279] In modern society, there is a demand for support to easily practice an environmentally friendly lifestyle, but there is a lack of specific and practical systems for promoting behavior change in daily life. The object of this invention is to provide eco-friendly proposals tailored to the user's lifestyle and to promote sustainable behavior naturally without forcing.

[0280] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following respective means.

[0281] In this invention, the server includes means for providing an interface for inputting information, input means for receiving the user's input information, analysis means for analyzing the received user information to generate a profile, means for proposing eco-labeled products based on the analysis means and the database, means for scanning food data using management means and generating recipes for preferentially consuming food, notification means for notifying the user of the proposal, and means for receiving destination information and proposing an optimal travel method. As a result, it becomes possible for the user to make choices that naturally consider the environment and incorporate sustainable behavior into daily life.

[0282] An "interface" provides a means for the user to input information.

[0283] "Input means" is a device or program having a function of receiving information from the user.

[0284] "Analysis means" is a device or program having a function of generating a profile based on the received user information.

[0285] "Proposal means" is a device or program having a function of making a specific proposal to the user based on the analysis result and database information.

[0286] The "notification means" is a device or program that has the function of transmitting the proposal generated by the proposal means to the user.

[0287] The "management means" is a device or program that has the function of acquiring food data and performing further processing based on the data.

[0288] The "destination information" is the data of the destination specified by the user.

[0289] The system for implementing this invention operates with the cooperation of a server, a terminal, and a user. The server plays a central role in supporting a lifestyle that takes into account the user's environment. The terminal provides an interface for the user to input information and serves to transmit the received information to the server.

[0290] First, the user uses the terminal to input initial information such as the place of residence, family composition, and lifestyle habits. This input information is transmitted to the server via the terminal. The server analyzes the user's lifestyle using the generated AI model based on the received information and generates an individual profile.

[0291] The server is also involved in energy management within the home. The terminal collects energy consumption data from smart meters and various sensors installed in the home and transfers it to the server. The server analyzes the received data and provides the user with proposals that lead to grasping peak usage times and reducing wasteful consumption.

[0292] Furthermore, when the user inputs the daily food purchase list into the terminal, the server recommends eco-labeled products and local products. This information is implemented based on collation with the database, and the terminal makes proposals to encourage the user to make more sustainable purchases.

[0293] To reduce food waste, the device scans the barcodes of food items in the refrigerator to determine their expiration dates. Based on the items nearing their expiration date, the server generates recipes that prioritize their consumption. This information is also communicated to the user through the device.

[0294] Regarding transportation suggestions, the terminal receives destination input from the user, and the server calculates the most eco-friendly mode of transport. This encourages users to choose options that are environmentally friendly, such as public transport, walking, or cycling.

[0295] For example, if you need to suggest eco-friendly recipes using ingredients found in your refrigerator, you can use the following prompt in the generating AI model: "Please suggest eco-friendly recipes using ingredients found in your refrigerator."

[0296] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0297] Step 1:

[0298] The user uses a device to input initial information such as place of residence, family structure, and lifestyle. The device organizes this input information and sends it to the server. The server performs data analysis based on the received information to generate a user profile and outputs the profile data.

[0299] Step 2:

[0300] The terminal collects real-time energy consumption data from smart meters and various sensors installed in the home. The terminal periodically transfers this data to a server. The server analyzes this input data, generates specific energy efficiency suggestions to reduce wasteful consumption, and outputs them to the terminal.

[0301] Step 3:

[0302] When the user inputs a food purchase list into the terminal, the terminal sends this information to the server. The server matches this input information with the database, generates a list of recommended items regarding eco-labeled products and local produce, and outputs the recommendations to the terminal. The terminal notifies the user of this and encourages environmentally friendly choices.

[0303] Step 4:

[0304] The terminal scans the food in the refrigerator using barcode or image recognition technology and inputs it as expiration date information. The terminal sends this data to the server, and the server generates a recipe for preferential consumption based on the food with approaching expiration dates and outputs it to the terminal. This information is notified to the user through the terminal to enable safe and effective utilization of food.

[0305] Step 5:

[0306] When the user inputs a destination into the terminal, the terminal sends that information to the server. The server utilizes map information and traffic data to calculate the optimal travel route and means of transportation regarding the destination. The server outputs these results to the terminal, and the terminal proposes an eco-friendly way of traveling to the user.

[0307] (Application Example 1)

[0308] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0309] In modern life, it is important to minimize the impact of an individual's lifestyle on the environment. However, many people do not have appropriate information regarding energy consumption and ways of traveling, and are unable to find specific improvement methods. With conventional methods, it is difficult to automatically provide customized eco-friendly proposals to individual users, and there is an issue that the practice of eco-actions in daily life does not progress.

[0310] 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.

[0311] In this invention, the server includes an information input means for receiving user input information, a data analysis means for analyzing the received user information, an information suggestion means for making eco-friendly suggestions to the user based on the analysis results obtained by the data analysis means, an energy optimization means for collecting energy consumption data, identifying peak usage times, and generating energy-saving suggestions, and a transportation suggestion means for suggesting the optimal means of transportation based on destination information. This supports specific and effective eco-friendly choices tailored to an individual's lifestyle, enabling actions that naturally reduce environmental impact in daily life.

[0312] "User input information" refers to personal information and preference data that users provide to the system.

[0313] "Information input means" refers to a device or program that has the function of obtaining information from a user.

[0314] A "data analysis tool" is a system that has the function of processing received data and extracting useful information about the user.

[0315] An "information suggestion tool" is a device or program that has the function of presenting recommendations or options to the user based on the analysis results.

[0316] An "information notification system" is a system that has a communication function to inform users of the generated proposals.

[0317] "Energy optimization means" refers to a function that analyzes household and individual energy consumption data and provides specific means to improve energy efficiency.

[0318] A "transportation suggestion device" is a device or program that has the function of suggesting the most suitable mode of transportation to a user based on information about their movement.

[0319] In implementing this invention, the user, terminal, and server must each fulfill their respective roles.

[0320] First, the user inputs personal information and data about their lifestyle. The device receives this information and sends it to the server. The server analyzes the input user information and uses data analysis tools to generate eco-friendly suggestions based on the user's behavior patterns and preferences.

[0321] The terminal is connected to a device that collects household energy consumption data, which is then transferred to a server. The server analyzes energy usage and identifies peak power consumption. This allows for specific suggestions to shift peak usage through energy optimization measures. Users receive these suggestions through notification mechanisms.

[0322] Furthermore, if a user wishes to travel, information about their departure and destination locations is sent from their device to the server. Based on geographical information and public transport operation data, the server uses a transportation suggestion system to calculate and provide the optimal travel route and mode of transport.

[0323] For example, if a user wants advice on saving energy, they can input a prompt such as "Generate advice on peak shifting of energy consumption" into the AI ​​model. Similarly, when searching for ecological transportation options to a destination, they can use a prompt such as "Tell me the most eco-friendly way to travel from my starting point to my destination."

[0324] Servers and terminals utilize cloud infrastructure and smart device software to effectively perform their respective processes. This enables the system to achieve real-time data processing and precise recommendations.

[0325] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0326] Step 1:

[0327] Users input personal information and lifestyle data into their devices. The devices then transmit the information received from the users to a server via an input mechanism. This input data forms the basis for the analysis performed by the server.

[0328] Step 2:

[0329] The server processes the received user information using data analysis tools. At this stage, it analyzes the user's behavior patterns and preferences based on the input information, and performs data processing to generate a profile. The analysis results form the basis for generating eco-friendly suggestions.

[0330] Step 3:

[0331] The device collects energy consumption data via smart meters and sensors installed in the home. This data is then transmitted to a server with detailed information about energy usage. This allows the server to monitor energy usage in real time.

[0332] Step 4:

[0333] The server analyzes energy consumption data and uses energy optimization techniques to identify peak usage times. This allows it to determine which time periods are most effective for energy conservation and generate specific energy-saving suggestions. The suggestions include changes to the amount of energy that can be saved and the recommended usage times.

[0334] Step 5:

[0335] When a user enters their travel preferences into a terminal, the terminal transmits that information to a server via a transportation suggestion system. The server uses geographical information and operational data to calculate the most economical mode of transportation and generates a suggestion for the user.

[0336] Step 6:

[0337] The server sends the generated suggestions to the terminal via a notification system, and the terminal presents them to the user. The final output includes specific energy-saving advice and recommended transportation options. As a result, users can easily practice eco-friendly choices in their daily lives.

[0338] 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.

[0339] This invention provides a system that takes into account the user's emotional state in order to support the user's eco-friendly lifestyle. This system encourages users to take environmentally conscious actions and provides more personalized suggestions based on their emotions.

[0340] First, the device collects basic information from the user. This includes their place of residence, family structure, and lifestyle. The device sends this information to a server, which analyzes it and creates a user profile.

[0341] Simultaneously, the device incorporates an emotion engine that can recognize the user's emotional state in real time using data such as voice, facial expressions, and behavior. This emotional information, along with the user's profile, is sent to a server.

[0342] The server optimizes suggestions based on the user's emotional state, using emotional information obtained from the emotion engine. For example, if a user is feeling stressed, it can suggest easy-to-implement eco-friendly actions or recommend eco-friendly products that can help them relax.

[0343] As a concrete application example, when scanning food information in a refrigerator, it is possible to analyze the user's emotional information as well, enabling the system to notify users of food waste reduction methods that eliminate factors influencing their emotions. Personalized advice that takes into account the user's emotions at the time is provided to make it easier for them to consciously take environmentally conscious actions.

[0344] In household energy management, the emotion engine analyzes data to understand power usage patterns associated with emotional states. This allows the server to design and suggest energy-saving methods that minimize stress to the user.

[0345] In this way, the present invention supports the transition to a sustainable lifestyle while prioritizing the emotional well-being of the user. This system allows users to easily and effectively incorporate eco-friendly actions into their daily lives.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] The user starts up the device, and a screen appears where they can enter basic information. The user enters information about their place of residence and lifestyle.

[0349] Step 2:

[0350] The terminal collects the entered user information and sends it to the server. The server generates a user profile based on the received information.

[0351] Step 3:

[0352] The emotion engine built into the device analyzes the user's voice and facial expression data in real time to recognize their emotional state. This emotional information is continuously collected while the user is using the system.

[0353] Step 4:

[0354] The device periodically sends emotional information it acquires to the server. The server analyzes the emotional data and updates the user's profile based on their current emotional state.

[0355] Step 5:

[0356] Users collect energy consumption data through smart meters and in-home sensors. The terminal aggregates this data and sends it to a server.

[0357] Step 6:

[0358] The server analyzes energy consumption data and combines it with emotional information to identify energy-saving methods that minimize stress. The server then generates optimized suggestions.

[0359] Step 7:

[0360] The generated energy management method is sent to the terminal, which then notifies the user of the suggestion. The user can then review and implement energy-saving methods that are less stressful for them.

[0361] Step 8:

[0362] When scanning food items in a refrigerator, the device collects expiration date data while taking emotional states into consideration.

[0363] Step 9:

[0364] The device sends collected food information and emotional data to the server. Based on this, the server creates an emotionally conscious food consumption plan.

[0365] Step 10:

[0366] A food consumption plan generated by the server is sent to the terminal, which then notifies the user. The user can then use recipes that suit their mood and consume food without waste.

[0367] Step 11:

[0368] When a user enters a destination, the device sends a request to the server to suggest the most suitable mode of transportation based on emotional information.

[0369] Step 12:

[0370] The server uses real-time traffic information and user sentiment data to select comfortable and eco-friendly modes of transportation.

[0371] Step 13:

[0372] The server sends the selected travel method to the terminal, which then notifies the user of the suggestion. The user can then use this information to make a travel choice.

[0373] (Example 2)

[0374] 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".

[0375] Traditional eco-friendly advice systems failed to consider the individual emotional states of users, often resulting in suggested advice that did not align with their emotional needs or circumstances. This presented challenges in ensuring the sustainability of environmentally conscious behaviors and their integration into users' lifestyles.

[0376] 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.

[0377] In this invention, the server includes an acquisition means for receiving data on the user's physiological state, an analysis means for performing emotion analysis based on the user information obtained from the acquisition means, and a suggestion means for creating ecological recommendations that take into account the user's emotional state based on the analysis results obtained by the analysis means. This enables personalized, eco-friendly suggestions that are tailored to the user's emotional state.

[0378] "Acquisition means" refers to a device or function for collecting data on the user's physiological state and incorporating it into the system.

[0379] "Analysis means" refers to a function or device that evaluates and analyzes emotional states based on user information obtained from acquisition means.

[0380] "Proposal means" refers to a device or function that uses the results obtained by the analysis means to generate ecological recommendations adapted to the user's emotional state.

[0381] "Communication means" refers to a device or function for delivering recommendations generated by the proposal means to the user.

[0382] "Collection means" refers to a device or function for collecting information related to energy consumption within a residence and using it for analysis.

[0383] "Management means" refers to a device or function for generating and providing appropriate waste reduction measures based on expiration date management information for food products.

[0384] This invention is a support system that promotes an ecological lifestyle for users. The system's main components are a terminal with multiple functions and a server to which that terminal connects.

[0385] The device is equipped with means for acquiring data on the user's physiological state. This means utilizes hardware such as cameras and microphones to collect data by monitoring the user's voice, facial expressions, and movements.

[0386] The collected data is transmitted from the terminal to the server, where it is analyzed by an analysis tool that performs sentiment analysis. This makes it possible to understand the user's emotional state in real time. Based on this analysis information, the server uses a suggestion tool to generate personalized ecological suggestions that are suitable for the user. The suggestion tool utilizes a generation AI model to recommend the most eco-friendly actions and products that take the user's emotional state into consideration.

[0387] In this system, generated suggestions are sent to the terminal via communication means and notified to the user. This notification is delivered in various ways, such as through a smartphone application or email.

[0388] For example, if a device collects data on household energy consumption, the data is analyzed on a server, and efficient energy management methods are suggested to the user, taking into account the user's emotional state. In food management, data on expiration dates is used, and advice to reduce food waste is provided according to the user's emotional state.

[0389] An example of a prompt for a generative AI model is, "Please suggest some simple, eco-friendly actions that can help a user relax when they are feeling stressed." This prompt allows the model to generate appropriate suggestions.

[0390] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0391] Step 1:

[0392] The device acquires physiological and environmental data from the user. This input includes voice, facial expressions, and information about the user's place of residence and family structure. The device acquires this data in real time through sensors and transmits it to a server in digital format.

[0393] Step 2:

[0394] The server performs sentiment analysis based on user data sent from the terminal. Input data includes audio and images. The server uses sentiment analysis algorithms to analyze changes in voice tone and facial expressions to determine the user's emotional state. As a result, a real-time sentiment report of the user is output.

[0395] Step 3:

[0396] The server uses sentiment reports and user profiles, along with a generative AI model, to generate eco-friendly suggestions. This process involves inputting prompts based on the user's emotional state, which the generative AI model then uses to output appropriate suggestions. The output is a list of user-optimized eco-actions and product recommendations.

[0397] Step 4:

[0398] The device notifies the user of eco-friendly actions suggested by the server. These notifications arrive to the user as an application or email. The creation of the notifications includes the visual and textual design of the suggestions, and is tailored to be easily understood by the user.

[0399] Step 5:

[0400] Users review the notifications and strive to implement the suggested actions. These actions may include trying simple eco-friendly practices suggested in their daily lives or purchasing recommended eco-friendly products. This contributes to the user's pursuit of a sustainable lifestyle.

[0401] (Application Example 2)

[0402] 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."

[0403] In modern urban life, achieving sustainable living requires individuals to consciously take environmentally conscious actions. However, general eco-friendly proposals often fail to consider users' feelings or individual circumstances, making it difficult for many users to sustainably maintain eco-friendly behavior. Furthermore, there is a lack of specific and personalized proposals for effectively managing urban energy resources and promoting participation in eco-activities throughout the community.

[0404] 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.

[0405] In this invention, the server includes an acquisition device that receives user input information, an analysis device that analyzes the acquired user information, a generation device that makes sustainable suggestions to the user based on the analysis results obtained by the analysis device, a communication device that notifies the user of the suggestions generated by the generation device, an identification device that identifies the user's emotional state, and an optimization device that optimizes the suggestion content using the emotional information obtained by the identification device. This makes it possible to propose specific and effective eco-friendly activities that take the emotions of each individual user into consideration.

[0406] An "acquisition device" is a device that accurately receives input information from the user and has the function of collecting data such as voice and location information.

[0407] An "analysis device" is a device that processes information collected by an acquisition device and analyzes the user's profile and emotional state.

[0408] A "generation device" is a device that generates suggestions for a sustainable lifestyle tailored to the user, based on the results obtained from an analysis device.

[0409] A "communication device" is a device used to notify users of suggestions created by a generation device, and it is linked to smartphones and other digital devices.

[0410] An "identification device" is a device that analyzes voice, facial expressions, and behavioral data to determine a user's emotional state and identify their emotions.

[0411] An "optimization device" is a device that uses emotional information obtained by an identification device to optimize the content of suggestions, taking into account the user's emotions.

[0412] A "data collection device" is a device that collects energy usage data and location information within a city, with the aim of sustainable energy management.

[0413] A "guidance device" is a device that guides users to the optimal activities and travel routes based on location information and eco-friendly suggestions.

[0414] This invention is a system designed to guide users' lives in an eco-friendly manner within a smart city environment. This system uses the user's smartphone or digital device to collect and analyze various data, and then provides personalized suggestions for a sustainable lifestyle.

[0415] The server collects user input information through an acquisition device. This information includes voice, location data, and facial expression data. The collected data is processed by an analysis device to analyze the user's emotional state and energy usage patterns. For this analysis, analysis software such as IBM Watson or Microsoft Azure's Cognitive Services can be used.

[0416] Based on the analysis results, the generator creates eco-friendly suggestions best suited to the user's current situation. These may include suggestions for available bicycle sharing services and guidance on energy-saving routes. The generated suggestions are then sent to the user's smartphone via a communication device.

[0417] To understand user emotions in real time, an identification device identifies the emotional state based on data from voice and behavior, and an optimization device provides suggestions tailored to that emotion. This allows users to take action with less stress.

[0418] For example, if the user is determined to be in a normal state, the generator may suggest the most energy-efficient route for that day and propose the use of public transportation.

[0419] An example of a prompt for the generating AI model might be, "Generate real-time suggestions that take into account the user's emotional state to promote eco-friendly behavior."

[0420] In this way, the invention can be implemented through technical means and can support users' eco-friendly lifestyles.

[0421] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0422] Step 1:

[0423] The server obtains user input information from the terminal. This input information includes voice data, location information, and facial expression data. This data is collected by the acquisition device and sent to the server. The input includes data indicating the user's current location and emotions.

[0424] Step 2:

[0425] The server processes the acquired data using an analysis device. Using IBM Watson or Microsoft Azure Cognitive Services, it performs speech recognition and facial analysis to identify the user's emotional state. During this process, the analysis device extracts emotional states and energy usage patterns, generating user profile information as output.

[0426] Step 3:

[0427] Based on the user's profile information and emotional state, the server uses a generator to produce suggestions for sustainable living. Prompt messages are input into the generating AI model, which then suggests eco-friendly activities and routes tailored to the user's current situation. This step outputs specific eco-activity suggestions that align with the user's emotions.

[0428] Step 4:

[0429] The server notifies the user of the suggestions generated by the generator via a communication device. The notification is sent to the user's smartphone and displayed in real time. Here, the input is the generated suggestion, and the output is the notification message to the user.

[0430] Step 5:

[0431] The device sends the user's feedback back to the server. The user's response and selected suggestions are analyzed, and the server updates its database to improve future suggestions. The effectiveness of the suggestions is measured based on the feedback, and further data calculations are performed.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] [Third Embodiment]

[0436] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0437] 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.

[0438] 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).

[0439] 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.

[0440] 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.

[0441] 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).

[0442] 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.

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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".

[0448] To implement this invention, the user, terminal, and server must cooperate and each fulfill their respective roles. This system provides support for users to lead an eco-friendly lifestyle through an automated process.

[0449] First, the device provides an interface for the user to input initial information. Here, the user enters basic information such as their place of residence, family structure, and daily habits. The entered information is sent from the device to the server. The server analyzes the received information and generates the user's profile.

[0450] Next, to monitor energy consumption in the home, the device collects data from smart meters and various sensors within the home. The device periodically transfers this data to a server. The server analyzes the received power consumption data and generates suggestions for improving energy efficiency. This includes identifying peak usage times and suggesting ways to reduce unnecessary power consumption.

[0451] Furthermore, when a user enters a list of groceries to purchase, the terminal sends that list to the server. The server checks the database and suggests eco-labeled and locally sourced products. As a result, the terminal makes suggestions to encourage the user to choose more environmentally friendly products.

[0452] To reduce food waste, the device has a function to scan food items in the refrigerator. The device uses barcode and image recognition technology to obtain expiration date data for the food. It then sends this information to a server, which generates recipes to prioritize the consumption of food items nearing their expiration date. This suggestion is then notified to the user through the device.

[0453] In terms of transportation, when a user enters their destination into a terminal, the terminal sends that information to a server. The server then calculates the optimal mode of transportation based on map information and operational data, and suggests an eco-friendly way of traveling to the user.

[0454] These processes allow users to naturally incorporate eco-friendly actions into their daily lives. This invention provides a system that enables users to make environmentally conscious choices without even realizing it. Specific examples include reducing electricity costs through peak shifting proposals for power consumption and reducing waste through efficient use of food. All of these are mechanisms that provide users with optimal information and choices through collaboration between the server and the terminal.

[0455] The following describes the processing flow.

[0456] Step 1:

[0457] The user powers on the device, and the initial setup screen appears. The user enters information such as their place of residence, family structure, and lifestyle.

[0458] Step 2:

[0459] The terminal sends the entered user information to the server. The server receives the data and creates a basic profile of the user.

[0460] Step 3:

[0461] Energy consumption data is collected in real time through smart meters and sensors installed in the user's home. The device aggregates this data and sends it to a server.

[0462] Step 4:

[0463] The server analyzes the energy consumption data it receives to identify usage patterns and peak power consumption. Based on this, the server generates optimal energy-saving measures.

[0464] Step 5:

[0465] The generated energy-saving measures are sent to the device, which then notifies the user. The user can then review and implement the suggested measures.

[0466] Step 6:

[0467] The user enters their shopping list into the terminal. The terminal sends this information to the server.

[0468] Step 7:

[0469] The server searches the product database to identify eco-labeled products and local organic products. Based on this, the server creates a list of suggestions.

[0470] Step 8:

[0471] A list of suggestions is sent to the device, and the device then suggests eco-friendly products to the user.

[0472] Step 9:

[0473] The food items inside the refrigerator are scanned. The terminal uses barcode and image recognition technology to obtain expiration date information.

[0474] Step 10:

[0475] The terminal sends the collected food information to the server, which identifies food items nearing their expiration date. The server then generates recipes for using the food items.

[0476] Step 11:

[0477] The generated recipes are sent to the device, and the user receives notifications about the suggested recipes, allowing them to plan their food consumption.

[0478] Step 12:

[0479] When a user enters their destination into their device, their current location and destination information are sent to the server.

[0480] Step 13:

[0481] The server calculates the optimal transportation route and means. It compares public transport, bicycle, and walking routes and selects the most environmentally friendly mode of transport.

[0482] Step 14:

[0483] The server sends a recommended route to the device, and the device notifies the user of eco-friendly transportation options.

[0484] (Example 1)

[0485] 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."

[0486] In modern society, there is a need for support in easily adopting environmentally friendly lifestyles, but there is a lack of concrete and practical systems to encourage behavioral change in daily life. This invention aims to provide eco-friendly suggestions tailored to the user's lifestyle and promote sustainable behavior naturally and effortlessly.

[0487] 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.

[0488] In this invention, the server includes means for providing an interface for inputting information, input means for receiving user input information, analysis means for analyzing the received user information and generating a profile, means for suggesting eco-labeled products based on the analysis means and the database, means for scanning food data using management means and generating recipes for prioritizing food consumption, notification means for notifying the user of the suggestions, and means for receiving destination information and suggesting the optimal method of travel. This enables users to naturally make environmentally conscious choices and incorporate sustainable behaviors into their daily lives.

[0489] An "interface" is something that provides a means for users to input information.

[0490] An "input means" is a device or program that has the function of receiving information from the user.

[0491] "Analysis means" refers to a device or program that has the function of generating a profile based on the information received from the user.

[0492] A "proposal tool" refers to a device or program that has the function of making specific suggestions to the user based on analysis results and database information.

[0493] A "notification means" is a device or program that has the function of communicating the proposal generated by the proposal means to the user.

[0494] "Management means" refers to devices or programs that have the function of acquiring food data and performing further processing based on that data.

[0495] "Destination information" refers to data about the destination specified by the user.

[0496] The system for implementing this invention involves the cooperation of a server, a terminal, and a user. The server plays a central role in supporting the user's lifestyle in consideration of their environment. The terminal provides an interface for the user to input information and transmits the received information to the server.

[0497] First, the user uses their device to input initial information such as their place of residence, family structure, and lifestyle. This input information is sent to the server via the device. Based on the received information, the server uses a generated AI model to analyze the user's lifestyle and generate an individual profile.

[0498] The server also plays a role in managing energy consumption within the home. The terminal collects energy consumption data from smart meters and various sensors installed in the home and transmits it to the server. The server analyzes the received data and provides users with suggestions that help them understand peak usage times and reduce unnecessary consumption.

[0499] Furthermore, when users enter their daily grocery shopping list into the terminal, the server recommends eco-labeled products and locally sourced items. This information is based on a database, and the terminal makes suggestions to encourage more sustainable shopping.

[0500] To reduce food waste, the device scans the barcodes of food items in the refrigerator to determine their expiration dates. Based on the items nearing their expiration date, the server generates recipes that prioritize their consumption. This information is also communicated to the user through the device.

[0501] Regarding transportation suggestions, the terminal receives destination input from the user, and the server calculates the most eco-friendly mode of transport. This encourages users to choose options that are environmentally friendly, such as public transport, walking, or cycling.

[0502] For example, if you need to suggest eco-friendly recipes using ingredients found in your refrigerator, you can use the following prompt in the generating AI model: "Please suggest eco-friendly recipes using ingredients found in your refrigerator."

[0503] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0504] Step 1:

[0505] The user uses a device to input initial information such as place of residence, family structure, and lifestyle. The device organizes this input information and sends it to the server. The server performs data analysis based on the received information to generate a user profile and outputs the profile data.

[0506] Step 2:

[0507] The terminal collects real-time energy consumption data from smart meters and various sensors installed in the home. The terminal periodically transfers this data to a server. The server analyzes this input data, generates specific energy efficiency suggestions to reduce wasteful consumption, and outputs them to the terminal.

[0508] Step 3:

[0509] When a user enters their grocery shopping list into the terminal, the terminal sends this information to the server. The server compares this input information with a database, generates a list of recommended items, including eco-labeled products and locally sourced goods, and outputs the recommendations to the terminal. The terminal then notifies the user, encouraging them to make environmentally friendly choices.

[0510] Step 4:

[0511] The device scans food items in the refrigerator using barcode or image recognition technology and inputs the expiration date information. The device sends this data to a server, which generates recipes for consuming food items nearing their expiration date and outputs them to the device. This information is then communicated to the user through the device, enabling safe and effective food use.

[0512] Step 5:

[0513] When a user enters a destination into their device, the device sends that information to a server. The server uses map information and traffic data to calculate the optimal travel route and mode of transport to the destination. The server outputs these results to the device, which then suggests eco-friendly travel methods to the user.

[0514] (Application Example 1)

[0515] 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."

[0516] In modern life, minimizing the environmental impact of individual lifestyles is crucial. However, many people lack adequate information about energy consumption and transportation methods, and are unable to find concrete ways to improve their practices. Traditional methods struggle to automatically provide personalized, eco-friendly suggestions to individual users, hindering the adoption of eco-friendly actions in daily life.

[0517] 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.

[0518] In this invention, the server includes an information input means for receiving user input information, a data analysis means for analyzing the received user information, an information suggestion means for making eco-friendly suggestions to the user based on the analysis results obtained by the data analysis means, an energy optimization means for collecting energy consumption data, identifying peak usage times, and generating energy-saving suggestions, and a transportation suggestion means for suggesting the optimal means of transportation based on destination information. This supports specific and effective eco-friendly choices tailored to an individual's lifestyle, enabling actions that naturally reduce environmental impact in daily life.

[0519] "User input information" refers to personal information and preference data that users provide to the system.

[0520] "Information input means" refers to a device or program that has the function of obtaining information from a user.

[0521] A "data analysis tool" is a system that has the function of processing received data and extracting useful information about the user.

[0522] An "information suggestion tool" is a device or program that has the function of presenting recommendations or options to the user based on the analysis results.

[0523] An "information notification system" is a system that has a communication function to inform users of the generated proposals.

[0524] "Energy optimization means" refers to a function that analyzes household and individual energy consumption data and provides specific means to improve energy efficiency.

[0525] A "transportation suggestion device" is a device or program that has the function of suggesting the most suitable mode of transportation to a user based on information about their movement.

[0526] In implementing this invention, the user, terminal, and server must each fulfill their respective roles.

[0527] First, the user inputs personal information and data about their lifestyle. The device receives this information and sends it to the server. The server analyzes the input user information and uses data analysis tools to generate eco-friendly suggestions based on the user's behavior patterns and preferences.

[0528] The terminal is connected to a device that collects household energy consumption data, which is then transferred to a server. The server analyzes energy usage and identifies peak power consumption. This allows for specific suggestions to shift peak usage through energy optimization measures. Users receive these suggestions through notification mechanisms.

[0529] Furthermore, if a user wishes to travel, information about their departure and destination locations is sent from their device to the server. Based on geographical information and public transport operation data, the server uses a transportation suggestion system to calculate and provide the optimal travel route and mode of transport.

[0530] For example, if a user wants advice on saving energy, they can input a prompt such as "Generate advice on peak shifting of energy consumption" into the AI ​​model. Similarly, when searching for ecological transportation options to a destination, they can use a prompt such as "Tell me the most eco-friendly way to travel from my starting point to my destination."

[0531] Servers and terminals utilize cloud infrastructure and smart device software to effectively perform their respective processes. This enables the system to achieve real-time data processing and precise recommendations.

[0532] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0533] Step 1:

[0534] Users input personal information and lifestyle data into their devices. The devices then transmit the information received from the users to a server via an input mechanism. This input data forms the basis for the analysis performed by the server.

[0535] Step 2:

[0536] The server processes the received user information using data analysis tools. At this stage, it analyzes the user's behavior patterns and preferences based on the input information, and performs data processing to generate a profile. The analysis results form the basis for generating eco-friendly suggestions.

[0537] Step 3:

[0538] The device collects energy consumption data via smart meters and sensors installed in the home. This data is then transmitted to a server with detailed information about energy usage. This allows the server to monitor energy usage in real time.

[0539] Step 4:

[0540] The server analyzes energy consumption data and uses energy optimization techniques to identify peak usage times. This allows it to determine which time periods are most effective for energy conservation and generate specific energy-saving suggestions. The suggestions include changes to the amount of energy that can be saved and the recommended usage times.

[0541] Step 5:

[0542] When a user enters their travel preferences into a terminal, the terminal transmits that information to a server via a transportation suggestion system. The server uses geographical information and operational data to calculate the most economical mode of transportation and generates a suggestion for the user.

[0543] Step 6:

[0544] The server sends the generated suggestions to the terminal via a notification system, and the terminal presents them to the user. The final output includes specific energy-saving advice and recommended transportation options. As a result, users can easily practice eco-friendly choices in their daily lives.

[0545] 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.

[0546] This invention provides a system that takes into account the user's emotional state in order to support the user's eco-friendly lifestyle. This system encourages users to take environmentally conscious actions and provides more personalized suggestions based on their emotions.

[0547] First, the device collects basic information from the user. This includes their place of residence, family structure, and lifestyle. The device sends this information to a server, which analyzes it and creates a user profile.

[0548] Simultaneously, the device incorporates an emotion engine that can recognize the user's emotional state in real time using data such as voice, facial expressions, and behavior. This emotional information, along with the user's profile, is sent to a server.

[0549] The server optimizes suggestions based on the user's emotional state, using emotional information obtained from the emotion engine. For example, if a user is feeling stressed, it can suggest easy-to-implement eco-friendly actions or recommend eco-friendly products that can help them relax.

[0550] As a concrete application example, when scanning food information in a refrigerator, it is possible to analyze the user's emotional information as well, enabling the system to notify users of food waste reduction methods that eliminate factors influencing their emotions. Personalized advice that takes into account the user's emotions at the time is provided to make it easier for them to consciously take environmentally conscious actions.

[0551] In household energy management, the emotion engine analyzes data to understand power usage patterns associated with emotional states. This allows the server to design and suggest energy-saving methods that minimize stress to the user.

[0552] In this way, the present invention supports the transition to a sustainable lifestyle while prioritizing the emotional well-being of the user. This system allows users to easily and effectively incorporate eco-friendly actions into their daily lives.

[0553] The following describes the processing flow.

[0554] Step 1:

[0555] The user starts up the device, and a screen appears where they can enter basic information. The user enters information about their place of residence and lifestyle.

[0556] Step 2:

[0557] The terminal collects the entered user information and sends it to the server. The server generates a user profile based on the received information.

[0558] Step 3:

[0559] The emotion engine built into the device analyzes the user's voice and facial expression data in real time to recognize their emotional state. This emotional information is continuously collected while the user is using the system.

[0560] Step 4:

[0561] The device periodically sends emotional information it acquires to the server. The server analyzes the emotional data and updates the user's profile based on their current emotional state.

[0562] Step 5:

[0563] Users collect energy consumption data through smart meters and in-home sensors. The terminal aggregates this data and sends it to a server.

[0564] Step 6:

[0565] The server analyzes energy consumption data and combines it with emotional information to identify energy-saving methods that minimize stress. The server then generates optimized suggestions.

[0566] Step 7:

[0567] The generated energy management method is sent to the terminal, which then notifies the user of the suggestion. The user can then review and implement energy-saving methods that are less stressful for them.

[0568] Step 8:

[0569] When scanning food items in a refrigerator, the device collects expiration date data while taking emotional states into consideration.

[0570] Step 9:

[0571] The device sends collected food information and emotional data to the server. Based on this, the server creates an emotionally conscious food consumption plan.

[0572] Step 10:

[0573] A food consumption plan generated by the server is sent to the terminal, which then notifies the user. The user can then use recipes that suit their mood and consume food without waste.

[0574] Step 11:

[0575] When a user enters a destination, the device sends a request to the server to suggest the most suitable mode of transportation based on emotional information.

[0576] Step 12:

[0577] The server uses real-time traffic information and user sentiment data to select comfortable and eco-friendly modes of transportation.

[0578] Step 13:

[0579] The server sends the selected travel method to the terminal, which then notifies the user of the suggestion. The user can then use this information to make a travel choice.

[0580] (Example 2)

[0581] 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."

[0582] Traditional eco-friendly advice systems failed to consider the individual emotional states of users, often resulting in suggested advice that did not align with their emotional needs or circumstances. This presented challenges in ensuring the sustainability of environmentally conscious behaviors and their integration into users' lifestyles.

[0583] 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.

[0584] In this invention, the server includes an acquisition means for receiving data on the user's physiological state, an analysis means for performing emotion analysis based on the user information obtained from the acquisition means, and a suggestion means for creating ecological recommendations that take into account the user's emotional state based on the analysis results obtained by the analysis means. This enables personalized, eco-friendly suggestions that are tailored to the user's emotional state.

[0585] "Acquisition means" refers to a device or function for collecting data on the user's physiological state and incorporating it into the system.

[0586] "Analysis means" refers to a function or device that evaluates and analyzes emotional states based on user information obtained from acquisition means.

[0587] "Proposal means" refers to a device or function that uses the results obtained by the analysis means to generate ecological recommendations adapted to the user's emotional state.

[0588] "Communication means" refers to a device or function for delivering recommendations generated by the proposal means to the user.

[0589] "Collection means" refers to a device or function for collecting information related to energy consumption within a residence and using it for analysis.

[0590] "Management means" refers to a device or function for generating and providing appropriate waste reduction measures based on expiration date management information for food products.

[0591] This invention is a support system that promotes an ecological lifestyle for users. The system's main components are a terminal with multiple functions and a server to which that terminal connects.

[0592] The device is equipped with means for acquiring data on the user's physiological state. This means utilizes hardware such as cameras and microphones to collect data by monitoring the user's voice, facial expressions, and movements.

[0593] The collected data is transmitted from the terminal to the server, where it is analyzed by an analysis tool that performs sentiment analysis. This makes it possible to understand the user's emotional state in real time. Based on this analysis information, the server uses a suggestion tool to generate personalized ecological suggestions that are suitable for the user. The suggestion tool utilizes a generation AI model to recommend the most eco-friendly actions and products that take the user's emotional state into consideration.

[0594] In this system, generated suggestions are sent to the terminal via communication means and notified to the user. This notification is delivered in various ways, such as through a smartphone application or email.

[0595] For example, if a device collects data on household energy consumption, the data is analyzed on a server, and efficient energy management methods are suggested to the user, taking into account the user's emotional state. In food management, data on expiration dates is used, and advice to reduce food waste is provided according to the user's emotional state.

[0596] An example of a prompt for a generative AI model is, "Please suggest some simple, eco-friendly actions that can help a user relax when they are feeling stressed." This prompt allows the model to generate appropriate suggestions.

[0597] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0598] Step 1:

[0599] The device acquires physiological and environmental data from the user. This input includes voice, facial expressions, and information about the user's place of residence and family structure. The device acquires this data in real time through sensors and transmits it to a server in digital format.

[0600] Step 2:

[0601] The server performs sentiment analysis based on user data sent from the terminal. Input data includes audio and images. The server uses sentiment analysis algorithms to analyze changes in voice tone and facial expressions to determine the user's emotional state. As a result, a real-time sentiment report of the user is output.

[0602] Step 3:

[0603] The server uses sentiment reports and user profiles, along with a generative AI model, to generate eco-friendly suggestions. This process involves inputting prompts based on the user's emotional state, which the generative AI model then uses to output appropriate suggestions. The output is a list of user-optimized eco-actions and product recommendations.

[0604] Step 4:

[0605] The device notifies the user of eco-friendly actions suggested by the server. These notifications arrive to the user as an application or email. The creation of the notifications includes the visual and textual design of the suggestions, and is tailored to be easily understood by the user.

[0606] Step 5:

[0607] Users review the notifications and strive to implement the suggested actions. These actions may include trying simple eco-friendly practices suggested in their daily lives or purchasing recommended eco-friendly products. This contributes to the user's pursuit of a sustainable lifestyle.

[0608] (Application Example 2)

[0609] 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."

[0610] In modern urban life, achieving sustainable living requires individuals to consciously take environmentally conscious actions. However, general eco-friendly proposals often fail to consider users' feelings or individual circumstances, making it difficult for many users to sustainably maintain eco-friendly behavior. Furthermore, there is a lack of specific and personalized proposals for effectively managing urban energy resources and promoting participation in eco-activities throughout the community.

[0611] 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.

[0612] In this invention, the server includes an acquisition device that receives user input information, an analysis device that analyzes the acquired user information, a generation device that makes sustainable suggestions to the user based on the analysis results obtained by the analysis device, a communication device that notifies the user of the suggestions generated by the generation device, an identification device that identifies the user's emotional state, and an optimization device that optimizes the suggestion content using the emotional information obtained by the identification device. This makes it possible to propose specific and effective eco-friendly activities that take the emotions of each individual user into consideration.

[0613] An "acquisition device" is a device that accurately receives input information from the user and has the function of collecting data such as voice and location information.

[0614] An "analysis device" is a device that processes information collected by an acquisition device and analyzes the user's profile and emotional state.

[0615] A "generation device" is a device that generates suggestions for a sustainable lifestyle tailored to the user, based on the results obtained from an analysis device.

[0616] A "communication device" is a device used to notify users of suggestions created by a generation device, and it is linked to smartphones and other digital devices.

[0617] An "identification device" is a device that analyzes voice, facial expressions, and behavioral data to determine a user's emotional state and identify their emotions.

[0618] An "optimization device" is a device that uses emotional information obtained by an identification device to optimize the content of suggestions, taking into account the user's emotions.

[0619] A "data collection device" is a device that collects energy usage data and location information within a city, with the aim of sustainable energy management.

[0620] A "guidance device" is a device that guides users to the optimal activities and travel routes based on location information and eco-friendly suggestions.

[0621] This invention is a system designed to guide users' lives in an eco-friendly manner within a smart city environment. This system uses the user's smartphone or digital device to collect and analyze various data, and then provides personalized suggestions for a sustainable lifestyle.

[0622] The server collects user input information through an acquisition device. This information includes voice, location data, and facial expression data. The collected data is processed by an analysis device to analyze the user's emotional state and energy usage patterns. For this analysis, analysis software such as IBM Watson or Microsoft Azure's Cognitive Services can be used.

[0623] Based on the analysis results, the generator creates eco-friendly suggestions best suited to the user's current situation. These may include suggestions for available bicycle sharing services and guidance on energy-saving routes. The generated suggestions are then sent to the user's smartphone via a communication device.

[0624] To understand user emotions in real time, an identification device identifies the emotional state based on data from voice and behavior, and an optimization device provides suggestions tailored to that emotion. This allows users to take action with less stress.

[0625] For example, if the user is determined to be in a normal state, the generator may suggest the most energy-efficient route for that day and propose the use of public transportation.

[0626] An example of a prompt for the generating AI model might be, "Generate real-time suggestions that take into account the user's emotional state to promote eco-friendly behavior."

[0627] In this way, the invention can be implemented through technical means and can support users' eco-friendly lifestyles.

[0628] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0629] Step 1:

[0630] The server obtains user input information from the terminal. This input information includes voice data, location information, and facial expression data. This data is collected by the acquisition device and sent to the server. The input includes data indicating the user's current location and emotions.

[0631] Step 2:

[0632] The server processes the acquired data using an analysis device. Using IBM Watson or Microsoft Azure Cognitive Services, it performs speech recognition and facial analysis to identify the user's emotional state. During this process, the analysis device extracts emotional states and energy usage patterns, generating user profile information as output.

[0633] Step 3:

[0634] Based on the user's profile information and emotional state, the server uses a generator to produce suggestions for sustainable living. Prompt messages are input into the generating AI model, which then suggests eco-friendly activities and routes tailored to the user's current situation. This step outputs specific eco-activity suggestions that align with the user's emotions.

[0635] Step 4:

[0636] The server notifies the user of the suggestions generated by the generator via a communication device. The notification is sent to the user's smartphone and displayed in real time. Here, the input is the generated suggestion, and the output is the notification message to the user.

[0637] Step 5:

[0638] The device sends the user's feedback back to the server. The user's response and selected suggestions are analyzed, and the server updates its database to improve future suggestions. The effectiveness of the suggestions is measured based on the feedback, and further data calculations are performed.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] [Fourth Embodiment]

[0643] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0644] 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.

[0645] 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).

[0646] 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.

[0647] 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.

[0648] 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).

[0649] 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.

[0650] 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.

[0651] 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.

[0652] 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.

[0653] 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.

[0654] 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.

[0655] 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".

[0656] To implement this invention, the user, terminal, and server must cooperate and each fulfill their respective roles. This system provides support for users to lead an eco-friendly lifestyle through an automated process.

[0657] First, the device provides an interface for the user to input initial information. Here, the user enters basic information such as their place of residence, family structure, and daily habits. The entered information is sent from the device to the server. The server analyzes the received information and generates the user's profile.

[0658] Next, to monitor energy consumption in the home, the device collects data from smart meters and various sensors within the home. The device periodically transfers this data to a server. The server analyzes the received power consumption data and generates suggestions for improving energy efficiency. This includes identifying peak usage times and suggesting ways to reduce unnecessary power consumption.

[0659] Furthermore, when a user enters a list of groceries to purchase, the terminal sends that list to the server. The server checks the database and suggests eco-labeled and locally sourced products. As a result, the terminal makes suggestions to encourage the user to choose more environmentally friendly products.

[0660] To reduce food waste, the device has a function to scan food items in the refrigerator. The device uses barcode and image recognition technology to obtain expiration date data for the food. It then sends this information to a server, which generates recipes to prioritize the consumption of food items nearing their expiration date. This suggestion is then notified to the user through the device.

[0661] In terms of transportation, when a user enters their destination into a terminal, the terminal sends that information to a server. The server then calculates the optimal mode of transportation based on map information and operational data, and suggests an eco-friendly way of traveling to the user.

[0662] These processes allow users to naturally incorporate eco-friendly actions into their daily lives. This invention provides a system that enables users to make environmentally conscious choices without even realizing it. Specific examples include reducing electricity costs through peak shifting proposals for power consumption and reducing waste through efficient use of food. All of these are mechanisms that provide users with optimal information and choices through collaboration between the server and the terminal.

[0663] The following describes the processing flow.

[0664] Step 1:

[0665] The user powers on the device, and the initial setup screen appears. The user enters information such as their place of residence, family structure, and lifestyle.

[0666] Step 2:

[0667] The terminal sends the entered user information to the server. The server receives the data and creates a basic profile of the user.

[0668] Step 3:

[0669] Energy consumption data is collected in real time through smart meters and sensors installed in the user's home. The device aggregates this data and sends it to a server.

[0670] Step 4:

[0671] The server analyzes the energy consumption data it receives to identify usage patterns and peak power consumption. Based on this, the server generates optimal energy-saving measures.

[0672] Step 5:

[0673] The generated energy-saving measures are sent to the device, which then notifies the user. The user can then review and implement the suggested measures.

[0674] Step 6:

[0675] The user enters their shopping list into the terminal. The terminal sends this information to the server.

[0676] Step 7:

[0677] The server searches the product database to identify eco-labeled products and local organic products. Based on this, the server creates a list of suggestions.

[0678] Step 8:

[0679] A list of suggestions is sent to the device, and the device then suggests eco-friendly products to the user.

[0680] Step 9:

[0681] The food items inside the refrigerator are scanned. The terminal uses barcode and image recognition technology to obtain expiration date information.

[0682] Step 10:

[0683] The terminal sends the collected food information to the server, which identifies food items nearing their expiration date. The server then generates recipes for using the food items.

[0684] Step 11:

[0685] The generated recipes are sent to the device, and the user receives notifications about the suggested recipes, allowing them to plan their food consumption.

[0686] Step 12:

[0687] When a user enters their destination into their device, their current location and destination information are sent to the server.

[0688] Step 13:

[0689] The server calculates the optimal transportation route and means. It compares public transport, bicycle, and walking routes and selects the most environmentally friendly mode of transport.

[0690] Step 14:

[0691] The server sends a recommended route to the device, and the device notifies the user of eco-friendly transportation options.

[0692] (Example 1)

[0693] 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".

[0694] In modern society, there is a need for support in easily adopting environmentally friendly lifestyles, but there is a lack of concrete and practical systems to encourage behavioral change in daily life. This invention aims to provide eco-friendly suggestions tailored to the user's lifestyle and promote sustainable behavior naturally and effortlessly.

[0695] 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.

[0696] In this invention, the server includes means for providing an interface for inputting information, input means for receiving user input information, analysis means for analyzing the received user information and generating a profile, means for suggesting eco-labeled products based on the analysis means and the database, means for scanning food data using management means and generating recipes for prioritizing food consumption, notification means for notifying the user of the suggestions, and means for receiving destination information and suggesting the optimal method of travel. This enables users to naturally make environmentally conscious choices and incorporate sustainable behaviors into their daily lives.

[0697] An "interface" is something that provides a means for users to input information.

[0698] An "input means" is a device or program that has the function of receiving information from the user.

[0699] "Analysis means" refers to a device or program that has the function of generating a profile based on the information received from the user.

[0700] A "proposal tool" refers to a device or program that has the function of making specific suggestions to the user based on analysis results and database information.

[0701] A "notification means" is a device or program that has the function of communicating the proposal generated by the proposal means to the user.

[0702] "Management means" refers to devices or programs that have the function of acquiring food data and performing further processing based on that data.

[0703] "Destination information" refers to data about the destination specified by the user.

[0704] The system for implementing this invention involves the cooperation of a server, a terminal, and a user. The server plays a central role in supporting the user's lifestyle in consideration of their environment. The terminal provides an interface for the user to input information and transmits the received information to the server.

[0705] First, the user uses their device to input initial information such as their place of residence, family structure, and lifestyle. This input information is sent to the server via the device. Based on the received information, the server uses a generated AI model to analyze the user's lifestyle and generate an individual profile.

[0706] The server also plays a role in managing energy consumption within the home. The terminal collects energy consumption data from smart meters and various sensors installed in the home and transmits it to the server. The server analyzes the received data and provides users with suggestions that help them understand peak usage times and reduce unnecessary consumption.

[0707] Furthermore, when users enter their daily grocery shopping list into the terminal, the server recommends eco-labeled products and locally sourced items. This information is based on a database, and the terminal makes suggestions to encourage more sustainable shopping.

[0708] To reduce food waste, the device scans the barcodes of food items in the refrigerator to determine their expiration dates. Based on the items nearing their expiration date, the server generates recipes that prioritize their consumption. This information is also communicated to the user through the device.

[0709] Regarding transportation suggestions, the terminal receives destination input from the user, and the server calculates the most eco-friendly mode of transport. This encourages users to choose options that are environmentally friendly, such as public transport, walking, or cycling.

[0710] For example, if you need to suggest eco-friendly recipes using ingredients found in your refrigerator, you can use the following prompt in the generating AI model: "Please suggest eco-friendly recipes using ingredients found in your refrigerator."

[0711] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0712] Step 1:

[0713] The user uses a device to input initial information such as place of residence, family structure, and lifestyle. The device organizes this input information and sends it to the server. The server performs data analysis based on the received information to generate a user profile and outputs the profile data.

[0714] Step 2:

[0715] The terminal collects real-time energy consumption data from smart meters and various sensors installed in the home. The terminal periodically transfers this data to a server. The server analyzes this input data, generates specific energy efficiency suggestions to reduce wasteful consumption, and outputs them to the terminal.

[0716] Step 3:

[0717] When a user enters their grocery shopping list into the terminal, the terminal sends this information to the server. The server compares this input information with a database, generates a list of recommended items, including eco-labeled products and locally sourced goods, and outputs the recommendations to the terminal. The terminal then notifies the user, encouraging them to make environmentally friendly choices.

[0718] Step 4:

[0719] The device scans food items in the refrigerator using barcode or image recognition technology and inputs the expiration date information. The device sends this data to a server, which generates recipes for consuming food items nearing their expiration date and outputs them to the device. This information is then communicated to the user through the device, enabling safe and effective food use.

[0720] Step 5:

[0721] When a user enters a destination into their device, the device sends that information to a server. The server uses map information and traffic data to calculate the optimal travel route and mode of transport to the destination. The server outputs these results to the device, which then suggests eco-friendly travel methods to the user.

[0722] (Application Example 1)

[0723] 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".

[0724] In modern life, minimizing the environmental impact of individual lifestyles is crucial. However, many people lack adequate information about energy consumption and transportation methods, and are unable to find concrete ways to improve their practices. Traditional methods struggle to automatically provide personalized, eco-friendly suggestions to individual users, hindering the adoption of eco-friendly actions in daily life.

[0725] 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.

[0726] In this invention, the server includes an information input means for receiving user input information, a data analysis means for analyzing the received user information, an information suggestion means for making eco-friendly suggestions to the user based on the analysis results obtained by the data analysis means, an energy optimization means for collecting energy consumption data, identifying peak usage times, and generating energy-saving suggestions, and a transportation suggestion means for suggesting the optimal means of transportation based on destination information. This supports specific and effective eco-friendly choices tailored to an individual's lifestyle, enabling actions that naturally reduce environmental impact in daily life.

[0727] "User input information" refers to personal information and preference data that users provide to the system.

[0728] "Information input means" refers to a device or program that has the function of obtaining information from a user.

[0729] A "data analysis tool" is a system that has the function of processing received data and extracting useful information about the user.

[0730] An "information suggestion tool" is a device or program that has the function of presenting recommendations or options to the user based on the analysis results.

[0731] An "information notification system" is a system that has a communication function to inform users of the generated proposals.

[0732] "Energy optimization means" refers to a function that analyzes household and individual energy consumption data and provides specific means to improve energy efficiency.

[0733] A "transportation suggestion device" is a device or program that has the function of suggesting the most suitable mode of transportation to a user based on information about their movement.

[0734] In implementing this invention, the user, terminal, and server must each fulfill their respective roles.

[0735] First, the user inputs personal information and data about their lifestyle. The device receives this information and sends it to the server. The server analyzes the input user information and uses data analysis tools to generate eco-friendly suggestions based on the user's behavior patterns and preferences.

[0736] The terminal is connected to a device that collects household energy consumption data, which is then transferred to a server. The server analyzes energy usage and identifies peak power consumption. This allows for specific suggestions to shift peak usage through energy optimization measures. Users receive these suggestions through notification mechanisms.

[0737] Furthermore, if a user wishes to travel, information about their departure and destination locations is sent from their device to the server. Based on geographical information and public transport operation data, the server uses a transportation suggestion system to calculate and provide the optimal travel route and mode of transport.

[0738] For example, if a user wants advice on saving energy, they can input a prompt such as "Generate advice on peak shifting of energy consumption" into the AI ​​model. Similarly, when searching for ecological transportation options to a destination, they can use a prompt such as "Tell me the most eco-friendly way to travel from my starting point to my destination."

[0739] Servers and terminals utilize cloud infrastructure and smart device software to effectively perform their respective processes. This enables the system to achieve real-time data processing and precise recommendations.

[0740] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0741] Step 1:

[0742] Users input personal information and lifestyle data into their devices. The devices then transmit the information received from the users to a server via an input mechanism. This input data forms the basis for the analysis performed by the server.

[0743] Step 2:

[0744] The server processes the received user information using data analysis tools. At this stage, it analyzes the user's behavior patterns and preferences based on the input information, and performs data processing to generate a profile. The analysis results form the basis for generating eco-friendly suggestions.

[0745] Step 3:

[0746] The device collects energy consumption data via smart meters and sensors installed in the home. This data is then transmitted to a server with detailed information about energy usage. This allows the server to monitor energy usage in real time.

[0747] Step 4:

[0748] The server analyzes energy consumption data and uses energy optimization techniques to identify peak usage times. This allows it to determine which time periods are most effective for energy conservation and generate specific energy-saving suggestions. The suggestions include changes to the amount of energy that can be saved and the recommended usage times.

[0749] Step 5:

[0750] When a user enters their travel preferences into a terminal, the terminal transmits that information to a server via a transportation suggestion system. The server uses geographical information and operational data to calculate the most economical mode of transportation and generates a suggestion for the user.

[0751] Step 6:

[0752] The server sends the generated suggestions to the terminal via a notification system, and the terminal presents them to the user. The final output includes specific energy-saving advice and recommended transportation options. As a result, users can easily practice eco-friendly choices in their daily lives.

[0753] 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.

[0754] This invention provides a system that takes into account the user's emotional state in order to support the user's eco-friendly lifestyle. This system encourages users to take environmentally conscious actions and provides more personalized suggestions based on their emotions.

[0755] First, the device collects basic information from the user. This includes their place of residence, family structure, and lifestyle. The device sends this information to a server, which analyzes it and creates a user profile.

[0756] Simultaneously, the device incorporates an emotion engine that can recognize the user's emotional state in real time using data such as voice, facial expressions, and behavior. This emotional information, along with the user's profile, is sent to a server.

[0757] The server optimizes suggestions based on the user's emotional state, using emotional information obtained from the emotion engine. For example, if a user is feeling stressed, it can suggest easy-to-implement eco-friendly actions or recommend eco-friendly products that can help them relax.

[0758] As a concrete application example, when scanning food information in a refrigerator, it is possible to analyze the user's emotional information as well, enabling the system to notify users of food waste reduction methods that eliminate factors influencing their emotions. Personalized advice that takes into account the user's emotions at the time is provided to make it easier for them to consciously take environmentally conscious actions.

[0759] In household energy management, the emotion engine analyzes data to understand power usage patterns associated with emotional states. This allows the server to design and suggest energy-saving methods that minimize stress to the user.

[0760] In this way, the present invention supports the transition to a sustainable lifestyle while prioritizing the emotional well-being of the user. This system allows users to easily and effectively incorporate eco-friendly actions into their daily lives.

[0761] The following describes the processing flow.

[0762] Step 1:

[0763] The user starts up the device, and a screen appears where they can enter basic information. The user enters information about their place of residence and lifestyle.

[0764] Step 2:

[0765] The terminal collects the entered user information and sends it to the server. The server generates a user profile based on the received information.

[0766] Step 3:

[0767] The emotion engine built into the device analyzes the user's voice and facial expression data in real time to recognize their emotional state. This emotional information is continuously collected while the user is using the system.

[0768] Step 4:

[0769] The device periodically sends emotional information it acquires to the server. The server analyzes the emotional data and updates the user's profile based on their current emotional state.

[0770] Step 5:

[0771] Users collect energy consumption data through smart meters and in-home sensors. The terminal aggregates this data and sends it to a server.

[0772] Step 6:

[0773] The server analyzes energy consumption data and combines it with emotional information to identify energy-saving methods that minimize stress. The server then generates optimized suggestions.

[0774] Step 7:

[0775] The generated energy management method is sent to the terminal, which then notifies the user of the suggestion. The user can then review and implement energy-saving methods that are less stressful for them.

[0776] Step 8:

[0777] When scanning food items in a refrigerator, the device collects expiration date data while taking emotional states into consideration.

[0778] Step 9:

[0779] The device sends collected food information and emotional data to the server. Based on this, the server creates an emotionally conscious food consumption plan.

[0780] Step 10:

[0781] A food consumption plan generated by the server is sent to the terminal, which then notifies the user. The user can then use recipes that suit their mood and consume food without waste.

[0782] Step 11:

[0783] When a user enters a destination, the device sends a request to the server to suggest the most suitable mode of transportation based on emotional information.

[0784] Step 12:

[0785] The server uses real-time traffic information and user sentiment data to select comfortable and eco-friendly modes of transportation.

[0786] Step 13:

[0787] The server sends the selected travel method to the terminal, which then notifies the user of the suggestion. The user can then use this information to make a travel choice.

[0788] (Example 2)

[0789] 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".

[0790] Traditional eco-friendly advice systems failed to consider the individual emotional states of users, often resulting in suggested advice that did not align with their emotional needs or circumstances. This presented challenges in ensuring the sustainability of environmentally conscious behaviors and their integration into users' lifestyles.

[0791] 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.

[0792] In this invention, the server includes an acquisition means for receiving data on the user's physiological state, an analysis means for performing emotion analysis based on the user information obtained from the acquisition means, and a suggestion means for creating ecological recommendations that take into account the user's emotional state based on the analysis results obtained by the analysis means. This enables personalized, eco-friendly suggestions that are tailored to the user's emotional state.

[0793] "Acquisition means" refers to a device or function for collecting data on the user's physiological state and incorporating it into the system.

[0794] "Analysis means" refers to a function or device that evaluates and analyzes emotional states based on user information obtained from acquisition means.

[0795] "Proposal means" refers to a device or function that uses the results obtained by the analysis means to generate ecological recommendations adapted to the user's emotional state.

[0796] "Communication means" refers to a device or function for delivering recommendations generated by the proposal means to the user.

[0797] "Collection means" refers to a device or function for collecting information related to energy consumption within a residence and using it for analysis.

[0798] "Management means" refers to a device or function for generating and providing appropriate waste reduction measures based on expiration date management information for food products.

[0799] This invention is a support system that promotes an ecological lifestyle for users. The system's main components are a terminal with multiple functions and a server to which that terminal connects.

[0800] The device is equipped with means for acquiring data on the user's physiological state. This means utilizes hardware such as cameras and microphones to collect data by monitoring the user's voice, facial expressions, and movements.

[0801] The collected data is transmitted from the terminal to the server, where it is analyzed by an analysis tool that performs sentiment analysis. This makes it possible to understand the user's emotional state in real time. Based on this analysis information, the server uses a suggestion tool to generate personalized ecological suggestions that are suitable for the user. The suggestion tool utilizes a generation AI model to recommend the most eco-friendly actions and products that take the user's emotional state into consideration.

[0802] In this system, generated suggestions are sent to the terminal via communication means and notified to the user. This notification is delivered in various ways, such as through a smartphone application or email.

[0803] For example, if a device collects data on household energy consumption, the data is analyzed on a server, and efficient energy management methods are suggested to the user, taking into account the user's emotional state. In food management, data on expiration dates is used, and advice to reduce food waste is provided according to the user's emotional state.

[0804] An example of a prompt for a generative AI model is, "Please suggest some simple, eco-friendly actions that can help a user relax when they are feeling stressed." This prompt allows the model to generate appropriate suggestions.

[0805] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0806] Step 1:

[0807] The device acquires physiological and environmental data from the user. This input includes voice, facial expressions, and information about the user's place of residence and family structure. The device acquires this data in real time through sensors and transmits it to a server in digital format.

[0808] Step 2:

[0809] The server performs sentiment analysis based on user data sent from the terminal. Input data includes audio and images. The server uses sentiment analysis algorithms to analyze changes in voice tone and facial expressions to determine the user's emotional state. As a result, a real-time sentiment report of the user is output.

[0810] Step 3:

[0811] The server uses sentiment reports and user profiles, along with a generative AI model, to generate eco-friendly suggestions. This process involves inputting prompts based on the user's emotional state, which the generative AI model then uses to output appropriate suggestions. The output is a list of user-optimized eco-actions and product recommendations.

[0812] Step 4:

[0813] The device notifies the user of eco-friendly actions suggested by the server. These notifications arrive to the user as an application or email. The creation of the notifications includes the visual and textual design of the suggestions, and is tailored to be easily understood by the user.

[0814] Step 5:

[0815] Users review the notifications and strive to implement the suggested actions. These actions may include trying simple eco-friendly practices suggested in their daily lives or purchasing recommended eco-friendly products. This contributes to the user's pursuit of a sustainable lifestyle.

[0816] (Application Example 2)

[0817] 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".

[0818] In modern urban life, achieving sustainable living requires individuals to consciously take environmentally conscious actions. However, general eco-friendly proposals often fail to consider users' feelings or individual circumstances, making it difficult for many users to sustainably maintain eco-friendly behavior. Furthermore, there is a lack of specific and personalized proposals for effectively managing urban energy resources and promoting participation in eco-activities throughout the community.

[0819] 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.

[0820] In this invention, the server includes an acquisition device that receives user input information, an analysis device that analyzes the acquired user information, a generation device that makes sustainable suggestions to the user based on the analysis results obtained by the analysis device, a communication device that notifies the user of the suggestions generated by the generation device, an identification device that identifies the user's emotional state, and an optimization device that optimizes the suggestion content using the emotional information obtained by the identification device. This makes it possible to propose specific and effective eco-friendly activities that take the emotions of each individual user into consideration.

[0821] An "acquisition device" is a device that accurately receives input information from the user and has the function of collecting data such as voice and location information.

[0822] An "analysis device" is a device that processes information collected by an acquisition device and analyzes the user's profile and emotional state.

[0823] A "generation device" is a device that generates suggestions for a sustainable lifestyle tailored to the user, based on the results obtained from an analysis device.

[0824] A "communication device" is a device used to notify users of suggestions created by a generation device, and it is linked to smartphones and other digital devices.

[0825] An "identification device" is a device that analyzes voice, facial expressions, and behavioral data to determine a user's emotional state and identify their emotions.

[0826] An "optimization device" is a device that uses emotional information obtained by an identification device to optimize the content of suggestions, taking into account the user's emotions.

[0827] A "data collection device" is a device that collects energy usage data and location information within a city, with the aim of sustainable energy management.

[0828] A "guidance device" is a device that guides users to the optimal activities and travel routes based on location information and eco-friendly suggestions.

[0829] This invention is a system designed to guide users' lives in an eco-friendly manner within a smart city environment. This system uses the user's smartphone or digital device to collect and analyze various data, and then provides personalized suggestions for a sustainable lifestyle.

[0830] The server collects user input information through an acquisition device. This information includes voice, location data, and facial expression data. The collected data is processed by an analysis device to analyze the user's emotional state and energy usage patterns. For this analysis, analysis software such as IBM Watson or Microsoft Azure's Cognitive Services can be used.

[0831] Based on the analysis results, the generator creates eco-friendly suggestions best suited to the user's current situation. These may include suggestions for available bicycle sharing services and guidance on energy-saving routes. The generated suggestions are then sent to the user's smartphone via a communication device.

[0832] To understand user emotions in real time, an identification device identifies the emotional state based on data from voice and behavior, and an optimization device provides suggestions tailored to that emotion. This allows users to take action with less stress.

[0833] For example, if the user is determined to be in a normal state, the generator may suggest the most energy-efficient route for that day and propose the use of public transportation.

[0834] An example of a prompt for the generating AI model might be, "Generate real-time suggestions that take into account the user's emotional state to promote eco-friendly behavior."

[0835] In this way, the invention can be implemented through technical means and can support users' eco-friendly lifestyles.

[0836] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0837] Step 1:

[0838] The server obtains user input information from the terminal. This input information includes voice data, location information, and facial expression data. This data is collected by the acquisition device and sent to the server. The input includes data indicating the user's current location and emotions.

[0839] Step 2:

[0840] The server processes the acquired data using an analysis device. Using IBM Watson or Microsoft Azure Cognitive Services, it performs speech recognition and facial analysis to identify the user's emotional state. During this process, the analysis device extracts emotional states and energy usage patterns, generating user profile information as output.

[0841] Step 3:

[0842] Based on the user's profile information and emotional state, the server uses a generator to produce suggestions for sustainable living. Prompt messages are input into the generating AI model, which then suggests eco-friendly activities and routes tailored to the user's current situation. This step outputs specific eco-activity suggestions that align with the user's emotions.

[0843] Step 4:

[0844] The server notifies the user of the suggestions generated by the generator via a communication device. The notification is sent to the user's smartphone and displayed in real time. Here, the input is the generated suggestion, and the output is the notification message to the user.

[0845] Step 5:

[0846] The device sends the user's feedback back to the server. The user's response and selected suggestions are analyzed, and the server updates its database to improve future suggestions. The effectiveness of the suggestions is measured based on the feedback, and further data calculations are performed.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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."

[0856] 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.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] 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.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] 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.

[0865] 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.

[0866] 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.

[0867] 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.

[0868] The following is further disclosed regarding the embodiments described above.

[0869] (Claim 1)

[0870] An input means for receiving user input information,

[0871] An analysis method for analyzing the received user information,

[0872] Based on the analysis results obtained by the analysis means, a proposal means makes eco-friendly suggestions to the user,

[0873] A notification means for notifying the user of the proposal generated by the proposal means,

[0874] A system that includes this.

[0875] (Claim 2)

[0876] Furthermore, it includes a means of collecting energy consumption data within the home,

[0877] The system according to claim 1, which analyzes data obtained by a collection means and proposes an optimal energy management method.

[0878] (Claim 3)

[0879] Furthermore, the system is equipped with management methods for managing the expiration dates of food products.

[0880] The system according to claim 1, which makes suggestions for reducing food waste based on food data obtained by a management means.

[0881] "Example 1"

[0882] (Claim 1)

[0883] A means of providing an interface for inputting information,

[0884] An input means for receiving user input information,

[0885] An analysis means that analyzes the received user information and generates a profile,

[0886] A proposal means that proposes eco-label products based on the analysis results and database obtained by the analysis means,

[0887] A means for scanning food data using a management system and generating recipes for prioritizing the consumption of food,

[0888] A notification means for notifying the user of the proposal generated by the proposal means,

[0889] A means of receiving destination information and suggesting the optimal mode of transportation,

[0890] A system that includes this.

[0891] (Claim 2)

[0892] The system according to claim 1, which collects energy consumption data and makes suggestions for improving efficiency.

[0893] (Claim 3)

[0894] The system according to claim 1, which proposes reducing food waste based on expiration date data.

[0895] "Application Example 1"

[0896] (Claim 1)

[0897] An information input means for receiving user input information,

[0898] A data analysis method for analyzing the received user information,

[0899] An information suggestion means that makes eco-friendly suggestions to users based on the analysis results obtained by the data analysis means,

[0900] An information notification means that notifies the user of the proposal generated by the information proposal means,

[0901] An energy optimization means that collects energy consumption data, identifies peak usage times, and generates energy saving suggestions,

[0902] A transportation suggestion system that proposes the optimal mode of transport based on destination information,

[0903] A system that includes this.

[0904] (Claim 2)

[0905] The system according to claim 1, further comprising means for collecting energy consumption data within a household, analyzing the collected data, and proposing peak shifts in energy use to improve energy efficiency.

[0906] (Claim 3)

[0907] The system according to claim 1, which receives input information regarding a user's movement and provides an optimal means of transportation based on geographical information and time information using an information suggestion means.

[0908] "Example 2 of combining an emotion engine"

[0909] (Claim 1)

[0910] A means of receiving data regarding the user's physiological state,

[0911] An analysis method that performs sentiment analysis based on user information obtained from acquisition methods,

[0912] Based on the analysis results obtained by the analysis means, a proposal means for creating ecological recommendations that take into account the user's emotional state,

[0913] A communication means for delivering recommendations generated by the proposed means to the user,

[0914] A system that includes this.

[0915] (Claim 2)

[0916] The system according to claim 1, further comprising a means for collecting information related to energy consumption within a residence and presenting an efficient energy management method integrated with the user's emotional state.

[0917] (Claim 3)

[0918] The system according to claim 1, further comprising a management means that provides waste reduction measures that mitigate the emotional impact on users, based on expiration date management information for food products.

[0919] "Application example 2 when combining with an emotional engine"

[0920] (Claim 1)

[0921] An acquisition device that receives user input information,

[0922] An analysis device that analyzes acquired user information,

[0923] A generating device that provides sustainable proposals to users based on the analysis results obtained by the analysis device,

[0924] A communication device that notifies the user of the proposals generated by the generation device,

[0925] An identification device that identifies the user's emotional state,

[0926] An optimization device that optimizes the proposed content using emotion information obtained by an identification device,

[0927] A system that includes this.

[0928] (Claim 2)

[0929] Furthermore, it is equipped with a collection device to collect energy usage data within the city,

[0930] The system according to claim 1, which analyzes data obtained by a data collection device and proposes an optimal energy management method.

[0931] (Claim 3)

[0932] Furthermore, the system will be equipped with a guidance device that uses location information to suggest eco-friendly activities.

[0933] The system according to claim 1, which optimizes activities based on data obtained by a guidance device. [Explanation of symbols]

[0934] 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. An input means for receiving user input information, An analysis method for analyzing the received user information, Based on the analysis results obtained by the analysis means, a proposal means makes eco-friendly suggestions to the user, A notification means for notifying the user of the proposal generated by the proposal means, A system that includes this.

2. Furthermore, it includes a means of collecting energy consumption data within the home, The system according to claim 1, which analyzes data obtained by a collection means and proposes an optimal energy management method.

3. Furthermore, the system is equipped with management methods for managing the expiration dates of food products. The system according to claim 1, which makes suggestions for reducing food waste based on food data obtained by a management means.

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