system

Abstract

We provide the system. [Solution] A terminal device that registers schedule information in response to user instructions, A server means that monitors registered schedules and sends instructions to an Android at a specified time, An android means that operates based on received instructions and delivers the specified item to the user, A server mechanism that reports the completion of the Android operation to the server and prepares the next schedule, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In an aging society, the labor shortage caused by the declining birthrate is becoming serious, and especially in the field of nursing care, the shortage of manpower continues. Under such circumstances, a more efficient nursing care support system is required, but the current technology places a heavy burden on human caregivers. Also, in order to provide a customizable support service suitable for individual users, a more flexible and reliable system is needed.

Means for Solving the Problems

[0005] The present invention solves the aforementioned problems by providing a system that includes terminal means for registering schedule information upon receiving instructions from a user, server means for monitoring the registered schedule and sending instructions to an Android (registered trademark) at a specified time, Android means for operating based on the received instructions and delivering specified items to the user, and server means for reporting the completion of the Android's operation to the server and preparing the next schedule. This makes it possible to compensate for the shortage of personnel in care support and improve the quality of life for users.

[0006] A "user" is an entity that operates the system and utilizes the service through a terminal.

[0007] A "terminal device" is a device that functions as an interface to receive user instructions and information and transmit them to a server.

[0008] A "server" is a central control unit that manages the entire system, registers and monitors schedule information, and issues instructions to the androids.

[0009] "Schedule information" refers to data that shows the plan for tasks and actions that will be requested at a specific time.

[0010] An "Android device" is an autonomous robot that receives instructions from a server, performs physical actions, and delivers specified items to the user.

[0011] "Action completion report" is the process by which an Android device notifies the server that it has completed a predetermined task. [Brief explanation of the drawing]

[0012] [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]It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0013] 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.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] 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.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention provides user support at a specific time using a system consisting of a user, a terminal, a server, and an Android device. The program's processing will be explained below with specific examples.

[0034] In this system, the user first launches a caregiving app on their personal device and enters daily schedule information. This information includes, for example, the type and timing of medication to be taken. The device then formats this information appropriately and sends it to the server.

[0035] The server registers the received schedule information in a database and manages it for each user who initiated it. The server also monitors the registered schedules and sends relevant instructions to the Android device as the specified time approaches.

[0036] When an android receives instructions from a server, it begins performing physical actions based on those instructions. For example, it might retrieve a specified medication from a shelf and deliver it to the user. In this process, the android uses its built-in sensors to move safely while avoiding obstacles.

[0037] The user can receive the specified items delivered by the android and check their completion status. After completing a task, the android reports completion to the server, which then updates its database based on that information and prepares for the next schedule.

[0038] In this way, the system provides an effective means of compensating for labor shortages and supporting users' lives. Because all communication and operations are seamless, it can be easily used by elderly and busy users.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The user launches the caregiving app using their device and enters daily schedule information, such as the type and timing of medication to be taken. The device converts the entered information into the appropriate format and sends it to the server.

[0042] Step 2:

[0043] The server registers the schedule information received from the terminal into a database. Based on this registration, the server manages and monitors each user's schedule.

[0044] Step 3:

[0045] Based on the schedule, the server generates a reminder a short time before the designated time and sends the necessary instructions to the Android. These instructions include the type and location of the item to be delivered to the user.

[0046] Step 4:

[0047] The android analyzes instructions received from the server and formulates a plan. For example, it might prepare to retrieve a specified item precisely from its storage location.

[0048] Step 5:

[0049] Based on the plan it has formulated, the android begins its operation to retrieve the item. Typically, it uses sensors to move safely while avoiding obstacles.

[0050] Step 6:

[0051] The android approaches the user and safely delivers the specified item. After delivery, it interacts with the user, such as by requesting confirmation via voice.

[0052] Step 7:

[0053] The Android device reports to the server that the task is complete. The server receives the completion report and updates its database accordingly.

[0054] Step 8:

[0055] The server prepares the next schedule based on the updated data and resumes monitoring. This allows it to be ready for the user's next request.

[0056] (Example 1)

[0057] 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."

[0058] In modern society, the increasing elderly population and busy lifestyles make it difficult to provide individuals with effective time management and necessary goods. This problem is particularly evident in the management of medication and daily necessities. Therefore, there is a need to facilitate time management for users and provide necessary goods at the appropriate time.

[0059] 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.

[0060] In this invention, the server includes communication equipment means for recording time schedule information upon receiving instructions from a user, information processing equipment means for monitoring the recorded time schedule and transmitting instructions to an autonomous device at a specific time, and means including a calculation method for performing procedures to ensure the autonomous device operates while avoiding malfunctions. This enables efficient time management and provision of goods.

[0061] "User" refers to an individual or group that uses the system.

[0062] "Communication equipment" refers to devices that can receive and transmit information, and that record data based on user instructions.

[0063] "Scheduled time information" refers to information about a specific time set by the user, as well as various tasks and requests associated with that time.

[0064] An "information processing device" refers to a computer system or server used to receive, process, and transmit data.

[0065] An "autonomous device" refers to a robotic device that automatically performs physical actions based on instructions it receives.

[0066] "Specific items" refers to specific items or products requested or needed by the user.

[0067] An "information recording medium" refers to a device used to store and manage data, and functions as a database.

[0068] A "computation method" refers to a method of processing data using specific procedures or algorithms, and planning and executing necessary actions.

[0069] This system automates time management and the provision of goods by users. A specific implementation is shown below.

[0070] First, the user launches the care application using their device. This application has an information input interface where the user enters time-scheduled information. This information includes medication type, administration time, and other schedule details. The device is equipped with a communication module (such as Wi-Fi or Bluetooth) that formats the entered information and then sends it to the server.

[0071] The server functions as an advanced information processing device, storing time schedule information received from terminals in a database. This database is built using, for example, MySQL®, and has the ability to manage information for each user. The server constantly monitors this data and prepares to trigger actions at the required times. When sending necessary instructions to autonomous devices, communication is carried out according to a specific protocol.

[0072] The autonomous device begins operating based on the instructions it receives. This device has built-in sensors (such as LiDAR and cameras) and the ability to navigate while avoiding obstacles. Following instructions, it retrieves necessary items from designated locations and delivers them to the user. During its movement, it performs path planning using a pre-configured calculation method.

[0073] As a concrete example of applying this system, consider a scenario where a user needs to take aspirin every morning at 8:00 AM. Information is entered into a terminal and monitored by a server. When the designated time arrives, an autonomous device retrieves the aspirin from the shelf and delivers it to the user. This process is fully automated, significantly reducing the user's effort.

[0074] An example of a prompt in a generative AI model is: "Describe the sequence of steps in a system where a user enters their schedule using a device, and an Android device delivers the medication."

[0075] This system allows users to improve the accuracy of their time management and enhance their quality of life.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The user launches the care application using their device and enters schedule information. This application provides input fields for each schedule item specified by the user. For example, the user might enter data such as "aspirin" (a necessary medication) and the timing of its administration ("8:00 AM"). The entered information is formatted in JSON format within the device.

[0079] Step 2:

[0080] The terminal sends formatted JSON data to the server using a communication module. Here, the terminal connects to the server using a data transmission protocol and also performs a process to verify data integrity. The output is sent to the server as formatted schedule information.

[0081] Step 3:

[0082] The server parses the JSON data received from the terminal and stores it in the database system. Specifically, it uses a database system like MySQL to register data based on each user's identifier. The server also verifies the accuracy of the data and performs data cleansing as needed. The output is structured schedule information stored in the database.

[0083] Step 4:

[0084] The server constantly monitors the schedule stored in the database and triggers actions as the execution time approaches. Specifically, it generates and sends instructions to the autonomous device (android) when the specified time approaches. These instructions may include specific tasks such as "take the aspirin from the shelf in the living room and deliver it." The output is the instruction message sent to the autonomous device.

[0085] Step 5:

[0086] The autonomous device, having received instructions from the server, uses its built-in sensors to perceive its environment and begins operating along a planned path. The device retrieves the designated item and moves to the user's location, avoiding obstacles. The output is the result of the item being delivered to the user.

[0087] Step 6:

[0088] The user receives the item delivered from the Android device and confirms receipt through the device app, reporting the completion of the receipt. When the user reports, the device reformats the data and sends it to the server. The output is registered on the server as a task completion report.

[0089] Step 7:

[0090] The server receives completion reports from terminals and updates the database. It checks for new schedule information and prepares for the next task if any. The output is the updated database and preparation for the next task.

[0091] (Application Example 1)

[0092] 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."

[0093] Current food delivery services require efficient delivery scheduling and delivery times tailored to the user's preferences. However, traditional methods often struggle with on-time delivery and insufficient safety during transit. Therefore, improving both user convenience and delivery accuracy is a key challenge.

[0094] 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.

[0095] In this invention, the server includes logistics information processing means for managing goods delivery based on the user's desired delivery time, information processing means for monitoring registered schedules and transmitting instructions to automated machines at specified times, and information processing means for reporting the completion of the automated machine's operation to the information processing means and preparing the next schedule. This makes it possible to deliver goods to the user efficiently and safely at the specified time.

[0096] An "information processing device" is a device that receives user instructions, registers and monitors schedules, and functions as a server.

[0097] An "automated machine" is a robot that operates based on received instructions and has the function of delivering specified items to the user.

[0098] A "logistics information processing system" is a system that manages the delivery of goods based on the user's desired delivery time and creates an efficient delivery plan.

[0099] An "algorithm" is a set of steps that an automated machine follows to avoid obstacles and operate safely.

[0100] A "database" is an information management system that stores and accumulates user health management information and delivery history.

[0101] This invention is a system that efficiently delivers goods based on a user's schedule. First, the user registers their desired delivery date and time using a handheld information processing device. This information is transmitted to a server equipped with a logistics information processing device. The server creates a schedule based on the received information and sends an instruction to the automated machine to begin delivery at the specified time. Upon receiving the instruction from the server, the automated machine safely delivers the goods according to that instruction. Even if obstacles exist, the machine uses a built-in algorithm to avoid them and ensure a clear path to the destination.

[0102] After a delivery is completed, the server receives a report from the automated machine and updates the database in preparation for the next delivery. This database also stores user health information and delivery history, allowing this data to be accessed when needed. For example, if a user requests to receive a specific meal at a designated time, the server can accommodate that request. For instance, a sandwich could be delivered for lunch at a specified time.

[0103] An example of a prompt in a generative AI model might be text like, "Please explain in detail the steps to design a system that efficiently delivers goods at a time specified by the user." In this way, the entire system works in coordination to maximize user convenience.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The user enters schedule information using their device. This information includes the desired delivery date and time, and the items to be received. This information is appropriately organized in JSON format on the device. The output is the organized JSON data.

[0107] Step 2:

[0108] The terminal sends organized JSON data to the server. The server receives this data and stores it in a database. The input is the JSON data from the terminal, and the output is the schedule information registered in the database.

[0109] Step 3:

[0110] The server has the function of periodically monitoring stored schedule information. As the designated time approaches, the server plans the delivery route using a logistics information processing device and sends instructions to the automated machinery. The input is schedule information obtained from the database, and the output is route information and delivery instructions sent to the automated machinery.

[0111] Step 4:

[0112] The automated machine receives instructions from the server, retrieves the specified items, and begins delivery. Its built-in algorithms allow it to avoid obstacles during transit. It adjusts its route from the origin to the destination during delivery. The input is the instructions from the server, and the output is the delivery status.

[0113] Step 5:

[0114] Once the receipt is complete, the automated machine reports the delivery completion to the server. The server records the delivery history in the database and prepares for the next task. The input is the completion report from the automated machine, and the output is the updated database information.

[0115] 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.

[0116] This invention uses a system combining a user, a terminal, a server, an Android device, and an emotion engine to recognize the user's emotions and provide individualized responses accordingly. The program's processing will be explained below with specific examples.

[0117] Users access the system via their terminal and launch applications. The applications utilize an emotion engine to recognize the user's emotions, analyzing their tone of voice, facial expressions, and other factors. For example, if a user speaks in an anxious voice, the emotion engine analyzes this information and recognizes the emotional state as "anxiety."

[0118] The device then sends the recognized emotion information to the server. Based on the received emotion information, the server adjusts the user's individual response. This may include, for example, the Android providing comforting actions or offering specific advice to the user to solve the problem.

[0119] Based on instructions from the server, the Android performs specific actions that respond to the user's emotions. These actions may include offering gentle verbal cues or providing relaxation-related support. For example, if the user is feeling relaxed, the Android might suggest relaxation music in a calming voice.

[0120] On the other hand, the Android device reports the results of its actions and the user's reactions to the server. The server uses this information to record the user's emotional history in a database, enabling more accurate and personalized responses in subsequent interactions.

[0121] This system aims to improve the quality of daily life by providing optimal services that reflect users' emotions in real time. It offers high benefits and can deliver a customized experience tailored to each individual user.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] The user launches an emotion recognition application using their device and begins a normal interaction. The application analyzes the user's voice and facial expressions and uses an emotion engine to recognize their current emotional state. For example, if the user speaks in a tired voice, the emotion engine detects the emotion "fatigue."

[0125] Step 2:

[0126] The device sends recognized emotion information to the server. This transmission includes tags indicating the user's emotional state and, if necessary, additional contextual information.

[0127] Step 3:

[0128] The server analyzes the received emotional information and determines the appropriate action to take. For example, if "fatigue" is detected, the server instructs the android to create a relaxing environment.

[0129] Step 4:

[0130] The Android receives instructions from the server and initiates physical actions. Specifically, it provides an environment suited to the user's state, such as dimming the lights or playing relaxation music.

[0131] Step 5:

[0132] Users can receive Android support and communicate their experiences and feedback to the server via their device. The server collects this feedback information and uses it to improve future services.

[0133] Step 6:

[0134] The server updates the user's emotional history database, accumulating data to enable further personalization. This allows the system to learn each user's emotional patterns and adaptively enhance its responses.

[0135] (Example 2)

[0136] 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".

[0137] In modern society, providing services tailored to the individual emotions and mental state of each user in real time is a challenging task. Conventional systems struggle to accurately analyze a user's emotions and respond immediately, and may fail to provide appropriate support, especially in situations where emotions are rapidly changing.

[0138] 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.

[0139] In this invention, the server includes terminal means for analyzing the user's emotions, server means for generating an action plan to adjust individual responses based on the analyzed emotional information and sending instructions to an actuator, and server means for constructing prompt sentences using a generated AI model based on the user's emotional information. This enables rapid and individualized responses to changes in emotions.

[0140] A "terminal" is a device used by a user to collect and analyze data such as voice and facial expressions in order to analyze emotions.

[0141] A "server" is a core processing unit that generates an optimal action plan for each user based on analyzed emotional information and sends instructions to actuators.

[0142] An "actuator" is a device that receives instructions from a server and performs a specific action based on those instructions.

[0143] "Emotional information" refers to data that indicates the emotional state of a user, analyzed from factors such as the tone of their voice and facial expressions.

[0144] A "generative AI model" is an artificial intelligence technology used to generate prompts and other outputs that guide users to appropriate responses, based on their emotional information.

[0145] A "prompt message" is text information generated by a generative AI model that guides the user on what actions or responses to take.

[0146] A "database" is a system that stores information to record and analyze user emotional history and feedback.

[0147] This invention relates to a system that analyzes a user's emotions in real time and generates and provides an appropriate action plan to the user based on that analysis. This system consists of a terminal, a server, an actuator, and a generative AI model.

[0148] Users access the system via devices such as smartphones and tablets and launch an application for analyzing emotions. This application uses the device's built-in microphone and camera to capture the user's voice and facial expressions. Software called an emotion engine analyzes this data to identify the user's emotional state.

[0149] The analyzed emotional information is sent from the terminal to the server. Based on the received information, the server uses a generative AI model to generate an optimal action plan for the user. This action plan is then expressed as prompts that correspond to the user's emotions. For example, a prompt such as "How the actuator can gently speak to the user when they are feeling anxious" might be generated.

[0150] The server sends the generated action plan to the actuator. Based on the instructions from the server, the actuator can perform the appropriate action for the user. This allows the user to receive the necessary support and information on the spot.

[0151] This system allows users to receive customized services tailored to their emotions on a daily basis, thereby improving their quality of life.

[0152] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0153] Step 1:

[0154] The user launches an application using the device to capture voice and facial expressions. The device uses its built-in microphone and camera to collect the user's voice tone and facial expression data as input. The collected data is analyzed by an emotion engine to produce an output representing the emotional state. For example, if the user says, "I'm tired today," the device analyzes the user's facial expressions along with the voice.

[0155] Step 2:

[0156] The device sends the analyzed emotional state to the server. In this process, the emotional state is transferred to the server as input data. The server receives this input and uses a generative AI model to generate the optimal action plan for the user. This data processing for generating the action plan includes data calculations to generate appropriate prompt statements from the emotional state. For example, a prompt statement such as "The user is tired, so relaxation music is recommended" might be output.

[0157] Step 3:

[0158] The server sends a generated prompt message to the actuator. The actuator then performs a specific action based on the received prompt. In this case, the actuator is a digital assistant system and executes a command to play relaxation music based on input from the server. Based on the output from the server, the actuator plays gentle music through the speaker.

[0159] Step 4:

[0160] The actuator captures the user's emotional changes and reactions while they are listening to music, and reports the results to the server as feedback. New data obtained from the user's facial expressions and voice is also input, which the server analyzes and records in a database. As a result of the analysis, emotional history data is output to improve the accuracy of future responses. Specifically, the actuator records the user's behavior when they report feeling relaxed due to the music and sends the data to the server.

[0161] (Application Example 2)

[0162] 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".

[0163] In modern society, there is a need to improve safety in public spaces and commercial facilities, and to enhance the sense of security for individual users. In particular, in places where many people gather, it is important to quickly and accurately understand individual emotions and provide appropriate responses. However, conventional technologies have limitations in recognizing individual emotions and providing specific responses related to them, and there is a problem that they cannot completely alleviate users' anxiety.

[0164] 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.

[0165] In this invention, the server includes an emotion analysis engine means for analyzing the facial expressions and voices of people in the surrounding area and recognizing their emotional state; an information processing device means for determining an appropriate response based on the analysis results and transmitting the instructions to an autonomous device; and an information processing device means for updating the user's emotional history and recording the history in an information recording device. This makes it possible to recognize the emotions of individual users in real time and take appropriate responses based on that in public spaces and commercial facilities.

[0166] An "information terminal" is a computer device used by users to input information and instructions, and to record and manage that information.

[0167] An "information processing device" is a central device that analyzes and processes input information and data to generate instructions and transmit them to other devices.

[0168] An "autonomous device" is a robot or device that acts automatically according to programmed instructions and performs a specified task.

[0169] An "emotion analysis engine" is software that analyzes non-verbal data such as voice and facial expressions, and uses that data to evaluate and recognize an individual's emotions.

[0170] An "information recording device" is a device that records and stores information in a database or storage device, making it accessible as needed.

[0171] The system that realizes this application is an emotion recognition and response system that can be used in many public places and commercial facilities. It is activated when a user accesses the system using an information terminal and provides instructions for deciphering their emotions. The information terminal also plays a role in registering and managing the user's schedule information.

[0172] The server monitors the schedule registered as an information processing device and sends necessary instructions to the autonomous device at the set time. During this process, facial expression and voice data of people in the surrounding area are collected and analyzed by the emotion analysis engine. Based on this data, the emotion analysis engine appropriately recognizes the emotions of each user, and the information processing device determines an appropriate response based on the analysis results. The determined response is transmitted to the autonomous device and executed.

[0173] Autonomous devices operate based on programmed instructions and provide support to enhance the safety and sense of security of those around them. Emotion recognition results and response history are stored in an information recording device and used for future analysis.

[0174] As a concrete example of this system, imagine a scenario in a shopping mall on a holiday where an autonomous device, using its emotion analysis engine, quickly recognizes the anxious expression of a lost child and rushes to the location to call the parents. In this case, the entire system works together to quickly alleviate people's anxiety in public spaces.

[0175] An example of a prompt message would be: "Develop a system within my facility that can quickly detect changes in emotions and provide appropriate services to individuals experiencing anxiety. The necessary hardware and software include smart glasses, an emotion recognition API, an information processing device, an information recording device, and a communication protocol."

[0176] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0177] Step 1:

[0178] The terminal retrieves the user's schedule information as input data. The user registers their schedule using the terminal. This input data serves as the basis for generating output that saves the registered schedule to a database.

[0179] Step 2:

[0180] The server monitors the schedule and processes the registered information as input. As the specified time approaches, the server sends instructions to the autonomous device based on that schedule. Here, a comparison operation of time information is performed to generate the instruction output.

[0181] Step 3:

[0182] The server uses an emotion analysis engine to receive ambient environmental data (facial expressions and voice) from sensors as input data. The analysis engine processes this data and recognizes and classifies the user's emotional state as output.

[0183] Step 4:

[0184] The server receives the analyzed emotional data as input, and the information processing unit determines the appropriate response. Here, the response instructions are generated by comparing them with past emotional history and by performing calculations based on logic.

[0185] Step 5:

[0186] Autonomous devices begin operating based on instructions received as input from a server. This includes route selection and action instructions that take safety and effectiveness into consideration, and actually providing goods or support to the user.

[0187] Step 6:

[0188] The system reports the results of the autonomous device's operation and the user's new emotional state to the server. Here, execution data from the autonomous device is taken as input, and output is generated for storage as history in the information recording device. This process makes it possible to improve the accuracy of responses in subsequent interactions.

[0189] 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.

[0190] 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.

[0191] 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.

[0192] [Second Embodiment]

[0193] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0194] 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.

[0195] 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).

[0196] 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.

[0197] 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.

[0198] 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).

[0199] 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.

[0200] 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.

[0201] 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.

[0202] 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.

[0203] 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.

[0204] 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".

[0205] This invention provides user support at a specific time using a system consisting of a user, a terminal, a server, and an Android device. The program's processing will be explained below with specific examples.

[0206] In this system, the user first launches a caregiving app on their personal device and enters daily schedule information. This information includes, for example, the type and timing of medication to be taken. The device then formats this information appropriately and sends it to the server.

[0207] The server registers the received schedule information in a database and manages it for each user who initiated it. The server also monitors the registered schedules and sends relevant instructions to the Android device as the specified time approaches.

[0208] When an android receives instructions from a server, it begins performing physical actions based on those instructions. For example, it might retrieve a specified medication from a shelf and deliver it to the user. In this process, the android uses its built-in sensors to move safely while avoiding obstacles.

[0209] The user can receive the specified items delivered by the android and check their completion status. After completing a task, the android reports completion to the server, which then updates its database based on that information and prepares for the next schedule.

[0210] In this way, the system provides an effective means of compensating for labor shortages and supporting users' lives. Because all communication and operations are seamless, it can be easily used by elderly and busy users.

[0211] The following describes the processing flow.

[0212] Step 1:

[0213] The user launches the caregiving app using their device and enters daily schedule information, such as the type and timing of medication to be taken. The device converts the entered information into the appropriate format and sends it to the server.

[0214] Step 2:

[0215] The server registers the schedule information received from the terminal into a database. Based on this registration, the server manages and monitors each user's schedule.

[0216] Step 3:

[0217] Based on the schedule, the server generates a reminder a short time before the designated time and sends the necessary instructions to the Android. These instructions include the type and location of the item to be delivered to the user.

[0218] Step 4:

[0219] The android analyzes instructions received from the server and formulates a plan. For example, it might prepare to retrieve a specified item precisely from its storage location.

[0220] Step 5:

[0221] Based on the plan it has formulated, the android begins its operation to retrieve the item. Typically, it uses sensors to move safely while avoiding obstacles.

[0222] Step 6:

[0223] The android approaches the user and safely delivers the specified item. After delivery, it interacts with the user, such as by requesting confirmation via voice.

[0224] Step 7:

[0225] The Android device reports to the server that the task is complete. The server receives the completion report and updates its database accordingly.

[0226] Step 8:

[0227] The server prepares the next schedule based on the updated data and resumes monitoring. This allows it to be ready for the user's next request.

[0228] (Example 1)

[0229] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0230] In modern society, the increasing elderly population and busy lifestyles make it difficult to provide individuals with effective time management and necessary goods. This problem is particularly evident in the management of medication and daily necessities. Therefore, there is a need to facilitate time management for users and provide necessary goods at the appropriate time.

[0231] 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.

[0232] In this invention, the server includes communication equipment means for recording time schedule information upon receiving instructions from a user, information processing equipment means for monitoring the recorded time schedule and transmitting instructions to an autonomous device at a specific time, and means including a calculation method for performing procedures to ensure the autonomous device operates while avoiding malfunctions. This enables efficient time management and provision of goods.

[0233] "User" refers to an individual or group that uses the system.

[0234] "Communication equipment" refers to devices that can receive and transmit information, and that record data based on user instructions.

[0235] "Scheduled time information" refers to information about a specific time set by the user, as well as various tasks and requests associated with that time.

[0236] An "information processing device" refers to a computer system or server used to receive, process, and transmit data.

[0237] An "autonomous device" refers to a robotic device that automatically performs physical actions based on instructions it receives.

[0238] "Specific items" refers to specific items or products requested or needed by the user.

[0239] An "information recording medium" refers to a device used to store and manage data, and functions as a database.

[0240] A "computation method" refers to a method of processing data using specific procedures or algorithms, and planning and executing necessary actions.

[0241] This system automates time management and the provision of goods by users. A specific implementation is shown below.

[0242] First, the user launches the care application using their device. This application has an information input interface where the user enters time-scheduled information. This information includes medication type, administration time, and other schedule details. The device is equipped with a communication module (such as Wi-Fi or Bluetooth) that formats the entered information and then sends it to the server.

[0243] The server functions as an advanced information processing device, storing time schedule information received from terminals in a database. This database, built using, for example, MySQL, has the ability to manage information on a per-user basis. The server constantly monitors this data and prepares to trigger actions at the required times. When sending necessary instructions to autonomous devices, communication is conducted according to a specific protocol.

[0244] The autonomous device begins operating based on the instructions it receives. This device has built-in sensors (such as LiDAR and cameras) and the ability to navigate while avoiding obstacles. Following instructions, it retrieves necessary items from designated locations and delivers them to the user. During its movement, it performs path planning using a pre-configured calculation method.

[0245] As a concrete example of applying this system, consider a scenario where a user needs to take aspirin every morning at 8:00 AM. Information is entered into a terminal and monitored by a server. When the designated time arrives, an autonomous device retrieves the aspirin from the shelf and delivers it to the user. This process is fully automated, significantly reducing the user's effort.

[0246] An example of a prompt in a generative AI model is: "Describe the sequence of steps in a system where a user enters their schedule using a device, and an Android device delivers the medication."

[0247] This system allows users to improve the accuracy of their time management and enhance their quality of life.

[0248] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0249] Step 1:

[0250] The user launches the care application using their device and enters schedule information. This application provides input fields for each schedule item specified by the user. For example, the user might enter data such as "aspirin" (a necessary medication) and the timing of its administration ("8:00 AM"). The entered information is formatted in JSON format within the device.

[0251] Step 2:

[0252] The terminal sends formatted JSON data to the server using a communication module. Here, the terminal connects to the server using a data transmission protocol and also performs a process to verify data integrity. The output is sent to the server as formatted schedule information.

[0253] Step 3:

[0254] The server parses the JSON data received from the terminal and stores it in the database system. Specifically, it uses a database system like MySQL to register data based on each user's identifier. The server also verifies the accuracy of the data and performs data cleansing as needed. The output is structured schedule information stored in the database.

[0255] Step 4:

[0256] The server constantly monitors the schedule stored in the database and triggers actions as the execution time approaches. Specifically, it generates and sends instructions to the autonomous device (android) when the specified time approaches. These instructions may include specific tasks such as "take the aspirin from the shelf in the living room and deliver it." The output is the instruction message sent to the autonomous device.

[0257] Step 5:

[0258] The autonomous device, having received instructions from the server, uses its built-in sensors to perceive its environment and begins operating along a planned path. The device retrieves the designated item and moves to the user's location, avoiding obstacles. The output is the result of the item being delivered to the user.

[0259] Step 6:

[0260] The user receives the item delivered from the Android device and confirms receipt through the device app, reporting the completion of the receipt. When the user reports, the device reformats the data and sends it to the server. The output is registered on the server as a task completion report.

[0261] Step 7:

[0262] The server receives completion reports from terminals and updates the database. It checks for new schedule information and prepares for the next task if any. The output is the updated database and preparation for the next task.

[0263] (Application Example 1)

[0264] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0265] Current food delivery services require efficient delivery scheduling and delivery times tailored to the user's preferences. However, traditional methods often struggle with on-time delivery and insufficient safety during transit. Therefore, improving both user convenience and delivery accuracy is a key challenge.

[0266] 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.

[0267] In this invention, the server includes logistics information processing means for managing goods delivery based on the user's desired delivery time, information processing means for monitoring registered schedules and transmitting instructions to automated machines at specified times, and information processing means for reporting the completion of the automated machine's operation to the information processing means and preparing the next schedule. This makes it possible to deliver goods to the user efficiently and safely at the specified time.

[0268] An "information processing device" is a device that receives user instructions, registers and monitors schedules, and functions as a server.

[0269] An "automated machine" is a robot that operates based on received instructions and has the function of delivering specified items to the user.

[0270] A "logistics information processing system" is a system that manages the delivery of goods based on the user's desired delivery time and creates an efficient delivery plan.

[0271] An "algorithm" is a set of steps that an automated machine follows to avoid obstacles and operate safely.

[0272] A "database" is an information management system that stores and accumulates user health management information and delivery history.

[0273] This invention is a system that efficiently delivers goods based on a user's schedule. First, the user registers their desired delivery date and time using a handheld information processing device. This information is transmitted to a server equipped with a logistics information processing device. The server creates a schedule based on the received information and sends an instruction to the automated machine to begin delivery at the specified time. Upon receiving the instruction from the server, the automated machine safely delivers the goods according to that instruction. Even if obstacles exist, the machine uses a built-in algorithm to avoid them and ensure a clear path to the destination.

[0274] After a delivery is completed, the server receives a report from the automated machine and updates the database in preparation for the next delivery. This database also stores user health information and delivery history, allowing this data to be accessed when needed. For example, if a user requests to receive a specific meal at a designated time, the server can accommodate that request. For instance, a sandwich could be delivered for lunch at a specified time.

[0275] An example of a prompt in a generative AI model might be text like, "Please explain in detail the steps to design a system that efficiently delivers goods at a time specified by the user." In this way, the entire system works in coordination to maximize user convenience.

[0276] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0277] Step 1:

[0278] The user inputs schedule information using a handheld terminal. The input information includes the desired delivery date and time and the received items. This information is appropriately organized in JSON format on the terminal. The output is the organized JSON data.

[0279] Step 2:

[0280] The terminal sends the organized JSON data to the server. The server receives this data and stores it in the database. The input is the JSON data from the terminal, and the output is the schedule information registered in the database.

[0281] Step 3:

[0282] The server has a function to periodically monitor the stored schedule information. When the specified time approaches, the server plans the delivery route using the logistics information processing device and sends an instruction to the automation machine. The input is the schedule information obtained from the database, and the output is the route information and delivery instruction sent to the automation machine.

[0283] Step 4:

[0284] After receiving the instruction from the server, the automation machine acquires the specified item and starts the delivery. It avoids obstacles during movement using the built-in algorithm. The delivery is performed while adjusting the route from the departure point to the destination. The input is the instruction from the server, and the output is the delivery status.

[0285] Step 5:

[0286] When the receipt is completed, the automated machine reports the delivery completion to the server. The server records the delivery history in the database and prepares for the next task. The input is the completion report from the automated machine, and the output is the updated database information.

[0287] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0288] The present invention uses a system that combines a user, a terminal, a server, Android, and an emotion engine to recognize the user's emotion and perform individualized responses accordingly. Hereinafter, the processing of the program will be described with specific examples.

[0289] The user uses the system via the terminal to launch an application. The application utilizes an emotion engine that recognizes the user's emotion and analyzes the tone of the user's voice, expression, etc. For example, when the user speaks in a worried voice, the emotion engine analyzes the information and recognizes the emotional state of "uneasy".

[0290] After that, the terminal transmits the recognized emotion information to the server. Based on the received emotion information, the server adjusts the individualized response to the user. This includes, for example, actions such as Android comforting or providing specific advice to solve problems to the user.

[0291] Based on the instructions from the server, Android performs specific actions according to the user's emotion. These actions may include speaking gently to the user or providing support related to relaxation. For example, when the user has the emotion of wanting to relax, Android proposes relaxation music in a gentle voice.

[0292] On the other hand, the Android device reports the results of its actions and the user's reactions to the server. The server uses this information to record the user's emotional history in a database, enabling more accurate and personalized responses in subsequent interactions.

[0293] This system aims to improve the quality of daily life by providing optimal services that reflect users' emotions in real time. It offers high benefits and can deliver a customized experience tailored to each individual user.

[0294] The following describes the processing flow.

[0295] Step 1:

[0296] The user launches an emotion recognition application using their device and begins a normal interaction. The application analyzes the user's voice and facial expressions and uses an emotion engine to recognize their current emotional state. For example, if the user speaks in a tired voice, the emotion engine detects the emotion "fatigue."

[0297] Step 2:

[0298] The device sends recognized emotion information to the server. This transmission includes tags indicating the user's emotional state and, if necessary, additional contextual information.

[0299] Step 3:

[0300] The server analyzes the received emotional information and determines the appropriate action to take. For example, if "fatigue" is detected, the server instructs the android to create a relaxing environment.

[0301] Step 4:

[0302] Android receives instructions from the server and initiates physical actions. Specifically, it provides an environment suitable for the user's state, such as turning off the lights and playing relaxation music.

[0303] Step 5:

[0304] The user can receive support from Android and convey its effects and feedback to the server via the terminal. The server collects this feedback information and uses it to improve future services.

[0305] Step 6:

[0306] The server updates the user's emotional history database and accumulates data for further personalization. As a result, the system learns the emotional patterns of each user and adaptively strengthens its responses.

[0307] (Example 2)

[0308] Next, Example 2 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 society, it is a difficult task to provide services suitable for the emotions and mental states of individual users in real time. In conventional systems, it is difficult to accurately analyze the emotions of users and immediately take appropriate actions. Especially in situations where emotions change rapidly, it may not be possible to provide appropriate support to users.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0311] In this invention, the server includes terminal means for analyzing the user's emotions, server means for generating an action plan to adjust individual responses based on the analyzed emotional information and sending instructions to an actuator, and server means for constructing prompt sentences using a generated AI model based on the user's emotional information. This enables rapid and individualized responses to changes in emotions.

[0312] A "terminal" is a device used by a user to collect and analyze data such as voice and facial expressions in order to analyze emotions.

[0313] A "server" is a core processing unit that generates an optimal action plan for each user based on analyzed emotional information and sends instructions to actuators.

[0314] An "actuator" is a device that receives instructions from a server and performs a specific action based on those instructions.

[0315] "Emotional information" refers to data that indicates the emotional state of a user, analyzed from factors such as the tone of their voice and facial expressions.

[0316] A "generative AI model" is an artificial intelligence technology used to generate prompts and other outputs that guide users to appropriate responses, based on their emotional information.

[0317] A "prompt message" is text information generated by a generative AI model that guides the user on what actions or responses to take.

[0318] A "database" is a system that stores information to record and analyze user emotional history and feedback.

[0319] This invention relates to a system that analyzes a user's emotions in real time and generates and provides an appropriate action plan to the user based on that analysis. This system consists of a terminal, a server, an actuator, and a generative AI model.

[0320] Users access the system via devices such as smartphones and tablets and launch an application for analyzing emotions. This application uses the device's built-in microphone and camera to capture the user's voice and facial expressions. Software called an emotion engine analyzes this data to identify the user's emotional state.

[0321] The analyzed emotional information is sent from the terminal to the server. Based on the received information, the server uses a generative AI model to generate an optimal action plan for the user. This action plan is then expressed as prompts that correspond to the user's emotions. For example, a prompt such as "How the actuator can gently speak to the user when they are feeling anxious" might be generated.

[0322] The server sends the generated action plan to the actuator. Based on the instructions from the server, the actuator can perform the appropriate action for the user. This allows the user to receive the necessary support and information on the spot.

[0323] This system allows users to receive customized services tailored to their emotions on a daily basis, thereby improving their quality of life.

[0324] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0325] Step 1:

[0326] The user launches an application using the device to capture voice and facial expressions. The device uses its built-in microphone and camera to collect the user's voice tone and facial expression data as input. The collected data is analyzed by an emotion engine to produce an output representing the emotional state. For example, if the user says, "I'm tired today," the device analyzes the user's facial expressions along with the voice.

[0327] Step 2:

[0328] The device sends the analyzed emotional state to the server. In this process, the emotional state is transferred to the server as input data. The server receives this input and uses a generative AI model to generate the optimal action plan for the user. This data processing for generating the action plan includes data calculations to generate appropriate prompt statements from the emotional state. For example, a prompt statement such as "The user is tired, so relaxation music is recommended" might be output.

[0329] Step 3:

[0330] The server sends a generated prompt message to the actuator. The actuator then performs a specific action based on the received prompt. In this case, the actuator is a digital assistant system and executes a command to play relaxation music based on input from the server. Based on the output from the server, the actuator plays gentle music through the speaker.

[0331] Step 4:

[0332] The actuator captures the user's emotional changes and reactions while they are listening to music, and reports the results to the server as feedback. New data obtained from the user's facial expressions and voice is also input, which the server analyzes and records in a database. As a result of the analysis, emotional history data is output to improve the accuracy of future responses. Specifically, the actuator records the user's behavior when they report feeling relaxed due to the music and sends the data to the server.

[0333] (Application Example 2)

[0334] 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 as the "terminal".

[0335] In modern society, there is a need to improve safety in public spaces and commercial facilities, and to enhance the sense of security for individual users. In particular, in places where many people gather, it is important to quickly and accurately understand individual emotions and provide appropriate responses. However, conventional technologies have limitations in recognizing individual emotions and providing specific responses related to them, and there is a problem that they cannot completely alleviate users' anxiety.

[0336] 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.

[0337] In this invention, the server includes an emotion analysis engine means for analyzing the facial expressions and voices of people in the surrounding area and recognizing their emotional state; an information processing device means for determining an appropriate response based on the analysis results and transmitting the instructions to an autonomous device; and an information processing device means for updating the user's emotional history and recording the history in an information recording device. This makes it possible to recognize the emotions of individual users in real time and take appropriate responses based on that in public spaces and commercial facilities.

[0338] An "information terminal" is a computer device used by users to input information and instructions, and to record and manage that information.

[0339] An "information processing device" is a central device that analyzes and processes input information and data to generate instructions and transmit them to other devices.

[0340] An "autonomous device" is a robot or device that acts automatically according to programmed instructions and performs a specified task.

[0341] An "emotion analysis engine" is software that analyzes non-verbal data such as voice and facial expressions, and uses that data to evaluate and recognize an individual's emotions.

[0342] An "information recording device" is a device that records and stores information in a database or storage device, making it accessible as needed.

[0343] The system that realizes this application is an emotion recognition and response system that can be used in many public places and commercial facilities. It is activated when a user accesses the system using an information terminal and provides instructions for deciphering their emotions. The information terminal also plays a role in registering and managing the user's schedule information.

[0344] The server monitors the schedule registered as an information processing device and sends necessary instructions to the autonomous device at the set time. During this process, facial expression and voice data of people in the surrounding area are collected and analyzed by the emotion analysis engine. Based on this data, the emotion analysis engine appropriately recognizes the emotions of each user, and the information processing device determines an appropriate response based on the analysis results. The determined response is transmitted to the autonomous device and executed.

[0345] Autonomous devices operate based on programmed instructions and provide support to enhance the safety and sense of security of those around them. Emotion recognition results and response history are stored in an information recording device and used for future analysis.

[0346] As a concrete example of this system, imagine a scenario in a shopping mall on a holiday where an autonomous device, using its emotion analysis engine, quickly recognizes the anxious expression of a lost child and rushes to the location to call the parents. In this case, the entire system works together to quickly alleviate people's anxiety in public spaces.

[0347] An example of a prompt message would be: "Develop a system within my facility that can quickly detect changes in emotions and provide appropriate services to individuals experiencing anxiety. The necessary hardware and software include smart glasses, an emotion recognition API, an information processing device, an information recording device, and a communication protocol."

[0348] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0349] Step 1:

[0350] The terminal retrieves the user's schedule information as input data. The user registers their schedule using the terminal. This input data serves as the basis for generating output that saves the registered schedule to a database.

[0351] Step 2:

[0352] The server monitors the schedule and processes the registered information as input. As the specified time approaches, the server sends instructions to the autonomous device based on that schedule. Here, a comparison operation of time information is performed to generate the instruction output.

[0353] Step 3:

[0354] The server uses an emotion analysis engine to receive ambient environmental data (facial expressions and voice) from sensors as input data. The analysis engine processes this data and recognizes and classifies the user's emotional state as output.

[0355] Step 4:

[0356] The server receives the analyzed emotional data as input, and the information processing unit determines the appropriate response. Here, the response instructions are generated by comparing them with past emotional history and by performing calculations based on logic.

[0357] Step 5:

[0358] Autonomous devices begin operating based on instructions received as input from a server. This includes route selection and action instructions that take safety and effectiveness into consideration, and actually providing goods or support to the user.

[0359] Step 6:

[0360] The system reports the results of the autonomous device's operation and the user's new emotional state to the server. Here, execution data from the autonomous device is taken as input, and output is generated for storage as history in the information recording device. This process makes it possible to improve the accuracy of responses in subsequent interactions.

[0361] 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.

[0362] 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.

[0363] 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.

[0364] [Third Embodiment]

[0365] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0366] 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.

[0367] 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).

[0368] 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.

[0369] 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.

[0370] 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).

[0371] 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.

[0372] 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.

[0373] 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.

[0374] 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.

[0375] 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.

[0376] 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".

[0377] This invention provides user support at a specific time using a system consisting of a user, a terminal, a server, and an Android device. The program's processing will be explained below with specific examples.

[0378] In this system, the user first launches a caregiving app on their personal device and enters daily schedule information. This information includes, for example, the type and timing of medication to be taken. The device then formats this information appropriately and sends it to the server.

[0379] The server registers the received schedule information in a database and manages it for each user who initiated it. The server also monitors the registered schedules and sends relevant instructions to the Android device as the specified time approaches.

[0380] When an android receives instructions from a server, it begins performing physical actions based on those instructions. For example, it might retrieve a specified medication from a shelf and deliver it to the user. In this process, the android uses its built-in sensors to move safely while avoiding obstacles.

[0381] The user can receive the specified items delivered by the android and check their completion status. After completing a task, the android reports completion to the server, which then updates its database based on that information and prepares for the next schedule.

[0382] In this way, the system provides an effective means of compensating for labor shortages and supporting users' lives. Because all communication and operations are seamless, it can be easily used by elderly and busy users.

[0383] The following describes the processing flow.

[0384] Step 1:

[0385] The user launches the caregiving app using their device and enters daily schedule information, such as the type and timing of medication to be taken. The device converts the entered information into the appropriate format and sends it to the server.

[0386] Step 2:

[0387] The server registers the schedule information received from the terminal into a database. Based on this registration, the server manages and monitors each user's schedule.

[0388] Step 3:

[0389] Based on the schedule, the server generates a reminder a short time before the designated time and sends the necessary instructions to the Android. These instructions include the type and location of the item to be delivered to the user.

[0390] Step 4:

[0391] The android analyzes instructions received from the server and formulates a plan. For example, it might prepare to retrieve a specified item precisely from its storage location.

[0392] Step 5:

[0393] Based on the plan it has formulated, the android begins its operation to retrieve the item. Typically, it uses sensors to move safely while avoiding obstacles.

[0394] Step 6:

[0395] The android approaches the user and safely delivers the specified item. After delivery, it interacts with the user, such as by requesting confirmation via voice.

[0396] Step 7:

[0397] The Android device reports to the server that the task is complete. The server receives the completion report and updates its database accordingly.

[0398] Step 8:

[0399] The server prepares the next schedule based on the updated data and resumes monitoring. This allows it to be ready for the user's next request.

[0400] (Example 1)

[0401] 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."

[0402] In modern society, the increasing elderly population and busy lifestyles make it difficult to provide individuals with effective time management and necessary goods. This problem is particularly evident in the management of medication and daily necessities. Therefore, there is a need to facilitate time management for users and provide necessary goods at the appropriate time.

[0403] 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.

[0404] In this invention, the server includes communication equipment means for recording time schedule information upon receiving instructions from a user, information processing equipment means for monitoring the recorded time schedule and transmitting instructions to an autonomous device at a specific time, and means including a calculation method for performing procedures to ensure the autonomous device operates while avoiding malfunctions. This enables efficient time management and provision of goods.

[0405] "User" refers to an individual or group that uses the system.

[0406] "Communication equipment" refers to devices that can receive and transmit information, and that record data based on user instructions.

[0407] "Scheduled time information" refers to information about a specific time set by the user, as well as various tasks and requests associated with that time.

[0408] An "information processing device" refers to a computer system or server used to receive, process, and transmit data.

[0409] An "autonomous device" refers to a robotic device that automatically performs physical actions based on instructions it receives.

[0410] "Specific items" refers to specific items or products requested or needed by the user.

[0411] An "information recording medium" refers to a device used to store and manage data, and functions as a database.

[0412] A "computation method" refers to a method of processing data using specific procedures or algorithms, and planning and executing necessary actions.

[0413] This system automates time management and the provision of goods by users. A specific implementation is shown below.

[0414] First, the user launches the care application using their device. This application has an information input interface where the user enters time-scheduled information. This information includes medication type, administration time, and other schedule details. The device is equipped with a communication module (such as Wi-Fi or Bluetooth) that formats the entered information and then sends it to the server.

[0415] The server functions as an advanced information processing device, storing time schedule information received from terminals in a database. This database, built using, for example, MySQL, has the ability to manage information on a per-user basis. The server constantly monitors this data and prepares to trigger actions at the required times. When sending necessary instructions to autonomous devices, communication is conducted according to a specific protocol.

[0416] The autonomous device begins operating based on the instructions it receives. This device has built-in sensors (such as LiDAR and cameras) and the ability to navigate while avoiding obstacles. Following instructions, it retrieves necessary items from designated locations and delivers them to the user. During its movement, it performs path planning using a pre-configured calculation method.

[0417] As a concrete example of applying this system, consider a scenario where a user needs to take aspirin every morning at 8:00 AM. Information is entered into a terminal and monitored by a server. When the designated time arrives, an autonomous device retrieves the aspirin from the shelf and delivers it to the user. This process is fully automated, significantly reducing the user's effort.

[0418] An example of a prompt in a generative AI model is: "Describe the sequence of steps in a system where a user enters their schedule using a device, and an Android device delivers the medication."

[0419] This system allows users to improve the accuracy of their time management and enhance their quality of life.

[0420] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0421] Step 1:

[0422] The user launches the care application using their device and enters schedule information. This application provides input fields for each schedule item specified by the user. For example, the user might enter data such as "aspirin" (a necessary medication) and the timing of its administration ("8:00 AM"). The entered information is formatted in JSON format within the device.

[0423] Step 2:

[0424] The terminal sends formatted JSON data to the server using a communication module. Here, the terminal connects to the server using a data transmission protocol and also performs a process to verify data integrity. The output is sent to the server as formatted schedule information.

[0425] Step 3:

[0426] The server parses the JSON data received from the terminal and stores it in the database system. Specifically, it uses a database system like MySQL to register data based on each user's identifier. The server also verifies the accuracy of the data and performs data cleansing as needed. The output is structured schedule information stored in the database.

[0427] Step 4:

[0428] The server constantly monitors the schedule stored in the database and triggers actions as the execution time approaches. Specifically, it generates and sends instructions to the autonomous device (android) when the specified time approaches. These instructions may include specific tasks such as "take the aspirin from the shelf in the living room and deliver it." The output is the instruction message sent to the autonomous device.

[0429] Step 5:

[0430] The autonomous device, having received instructions from the server, uses its built-in sensors to perceive its environment and begins operating along a planned path. The device retrieves the designated item and moves to the user's location, avoiding obstacles. The output is the result of the item being delivered to the user.

[0431] Step 6:

[0432] The user receives the item delivered from the Android device and confirms receipt through the device app, reporting the completion of the receipt. When the user reports, the device reformats the data and sends it to the server. The output is registered on the server as a task completion report.

[0433] Step 7:

[0434] The server receives completion reports from terminals and updates the database. It checks for new schedule information and prepares for the next task if any. The output is the updated database and preparation for the next task.

[0435] (Application Example 1)

[0436] 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."

[0437] Current food delivery services require efficient delivery scheduling and delivery times tailored to the user's preferences. However, traditional methods often struggle with on-time delivery and insufficient safety during transit. Therefore, improving both user convenience and delivery accuracy is a key challenge.

[0438] 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.

[0439] In this invention, the server includes logistics information processing means for managing goods delivery based on the user's desired delivery time, information processing means for monitoring registered schedules and transmitting instructions to automated machines at specified times, and information processing means for reporting the completion of the automated machine's operation to the information processing means and preparing the next schedule. This makes it possible to deliver goods to the user efficiently and safely at the specified time.

[0440] An "information processing device" is a device that receives user instructions, registers and monitors schedules, and functions as a server.

[0441] An "automated machine" is a robot that operates based on received instructions and has the function of delivering specified items to the user.

[0442] A "logistics information processing system" is a system that manages the delivery of goods based on the user's desired delivery time and creates an efficient delivery plan.

[0443] An "algorithm" is a set of steps that an automated machine follows to avoid obstacles and operate safely.

[0444] A "database" is an information management system that stores and accumulates user health management information and delivery history.

[0445] This invention is a system that efficiently delivers goods based on a user's schedule. First, the user registers their desired delivery date and time using a handheld information processing device. This information is transmitted to a server equipped with a logistics information processing device. The server creates a schedule based on the received information and sends an instruction to the automated machine to begin delivery at the specified time. Upon receiving the instruction from the server, the automated machine safely delivers the goods according to that instruction. Even if obstacles exist, the machine uses a built-in algorithm to avoid them and ensure a clear path to the destination.

[0446] After a delivery is completed, the server receives a report from the automated machine and updates the database in preparation for the next delivery. This database also stores user health information and delivery history, allowing this data to be accessed when needed. For example, if a user requests to receive a specific meal at a designated time, the server can accommodate that request. For instance, a sandwich could be delivered for lunch at a specified time.

[0447] An example of a prompt in a generative AI model might be text like, "Please explain in detail the steps to design a system that efficiently delivers goods at a time specified by the user." In this way, the entire system works in coordination to maximize user convenience.

[0448] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0449] Step 1:

[0450] The user enters schedule information using their device. This information includes the desired delivery date and time, and the items to be received. This information is appropriately organized in JSON format on the device. The output is the organized JSON data.

[0451] Step 2:

[0452] The terminal sends organized JSON data to the server. The server receives this data and stores it in a database. The input is the JSON data from the terminal, and the output is the schedule information registered in the database.

[0453] Step 3:

[0454] The server has the function of periodically monitoring stored schedule information. As the designated time approaches, the server plans the delivery route using a logistics information processing device and sends instructions to the automated machinery. The input is schedule information obtained from the database, and the output is route information and delivery instructions sent to the automated machinery.

[0455] Step 4:

[0456] The automated machine receives instructions from the server, retrieves the specified items, and begins delivery. Its built-in algorithms allow it to avoid obstacles during transit. It adjusts its route from the origin to the destination during delivery. The input is the instructions from the server, and the output is the delivery status.

[0457] Step 5:

[0458] Once the receipt is complete, the automated machine reports the delivery completion to the server. The server records the delivery history in the database and prepares for the next task. The input is the completion report from the automated machine, and the output is the updated database information.

[0459] 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.

[0460] This invention uses a system combining a user, a terminal, a server, an Android device, and an emotion engine to recognize the user's emotions and provide individualized responses accordingly. The program's processing will be explained below with specific examples.

[0461] Users access the system via their terminal and launch applications. The applications utilize an emotion engine to recognize the user's emotions, analyzing their tone of voice, facial expressions, and other factors. For example, if a user speaks in an anxious voice, the emotion engine analyzes this information and recognizes the emotional state as "anxiety."

[0462] The device then sends the recognized emotion information to the server. Based on the received emotion information, the server adjusts the user's individual response. This may include, for example, the Android providing comforting actions or offering specific advice to the user to solve the problem.

[0463] Based on instructions from the server, the Android performs specific actions that respond to the user's emotions. These actions may include offering gentle verbal cues or providing relaxation-related support. For example, if the user is feeling relaxed, the Android might suggest relaxation music in a calming voice.

[0464] On the other hand, the Android device reports the results of its actions and the user's reactions to the server. The server uses this information to record the user's emotional history in a database, enabling more accurate and personalized responses in subsequent interactions.

[0465] This system aims to improve the quality of daily life by providing optimal services that reflect users' emotions in real time. It offers high benefits and can deliver a customized experience tailored to each individual user.

[0466] The following describes the processing flow.

[0467] Step 1:

[0468] The user launches an emotion recognition application using their device and begins a normal interaction. The application analyzes the user's voice and facial expressions and uses an emotion engine to recognize their current emotional state. For example, if the user speaks in a tired voice, the emotion engine detects the emotion "fatigue."

[0469] Step 2:

[0470] The device sends recognized emotion information to the server. This transmission includes tags indicating the user's emotional state and, if necessary, additional contextual information.

[0471] Step 3:

[0472] The server analyzes the received emotional information and determines the appropriate action to take. For example, if "fatigue" is detected, the server instructs the android to create a relaxing environment.

[0473] Step 4:

[0474] The Android receives instructions from the server and initiates physical actions. Specifically, it provides an environment suited to the user's state, such as dimming the lights or playing relaxation music.

[0475] Step 5:

[0476] Users can receive Android support and communicate their experiences and feedback to the server via their device. The server collects this feedback information and uses it to improve future services.

[0477] Step 6:

[0478] The server updates the user's emotional history database, accumulating data to enable further personalization. This allows the system to learn each user's emotional patterns and adaptively enhance its responses.

[0479] (Example 2)

[0480] 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."

[0481] In modern society, providing services tailored to the individual emotions and mental state of each user in real time is a challenging task. Conventional systems struggle to accurately analyze a user's emotions and respond immediately, and may fail to provide appropriate support, especially in situations where emotions are rapidly changing.

[0482] 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.

[0483] In this invention, the server includes terminal means for analyzing the user's emotions, server means for generating an action plan to adjust individual responses based on the analyzed emotional information and sending instructions to an actuator, and server means for constructing prompt sentences using a generated AI model based on the user's emotional information. This enables rapid and individualized responses to changes in emotions.

[0484] A "terminal" is a device used by a user to collect and analyze data such as voice and facial expressions in order to analyze emotions.

[0485] A "server" is a core processing unit that generates an optimal action plan for each user based on analyzed emotional information and sends instructions to actuators.

[0486] An "actuator" is a device that receives instructions from a server and performs a specific action based on those instructions.

[0487] "Emotional information" refers to data that indicates the emotional state of a user, analyzed from factors such as the tone of their voice and facial expressions.

[0488] A "generative AI model" is an artificial intelligence technology used to generate prompts and other outputs that guide users to appropriate responses, based on their emotional information.

[0489] A "prompt message" is text information generated by a generative AI model that guides the user on what actions or responses to take.

[0490] A "database" is a system that stores information to record and analyze user emotional history and feedback.

[0491] This invention relates to a system that analyzes a user's emotions in real time and generates and provides an appropriate action plan to the user based on that analysis. This system consists of a terminal, a server, an actuator, and a generative AI model.

[0492] Users access the system via devices such as smartphones and tablets and launch an application for analyzing emotions. This application uses the device's built-in microphone and camera to capture the user's voice and facial expressions. Software called an emotion engine analyzes this data to identify the user's emotional state.

[0493] The analyzed emotional information is sent from the terminal to the server. Based on the received information, the server uses a generative AI model to generate an optimal action plan for the user. This action plan is then expressed as prompts that correspond to the user's emotions. For example, a prompt such as "How the actuator can gently speak to the user when they are feeling anxious" might be generated.

[0494] The server sends the generated action plan to the actuator. Based on the instructions from the server, the actuator can perform the appropriate action for the user. This allows the user to receive the necessary support and information on the spot.

[0495] This system allows users to receive customized services tailored to their emotions on a daily basis, thereby improving their quality of life.

[0496] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0497] Step 1:

[0498] The user launches an application using the device to capture voice and facial expressions. The device uses its built-in microphone and camera to collect the user's voice tone and facial expression data as input. The collected data is analyzed by an emotion engine to produce an output representing the emotional state. For example, if the user says, "I'm tired today," the device analyzes the user's facial expressions along with the voice.

[0499] Step 2:

[0500] The device sends the analyzed emotional state to the server. In this process, the emotional state is transferred to the server as input data. The server receives this input and uses a generative AI model to generate the optimal action plan for the user. This data processing for generating the action plan includes data calculations to generate appropriate prompt statements from the emotional state. For example, a prompt statement such as "The user is tired, so relaxation music is recommended" might be output.

[0501] Step 3:

[0502] The server sends a generated prompt message to the actuator. The actuator then performs a specific action based on the received prompt. In this case, the actuator is a digital assistant system and executes a command to play relaxation music based on input from the server. Based on the output from the server, the actuator plays gentle music through the speaker.

[0503] Step 4:

[0504] The actuator captures the user's emotional changes and reactions while they are listening to music, and reports the results to the server as feedback. New data obtained from the user's facial expressions and voice is also input, which the server analyzes and records in a database. As a result of the analysis, emotional history data is output to improve the accuracy of future responses. Specifically, the actuator records the user's behavior when they report feeling relaxed due to the music and sends the data to the server.

[0505] (Application Example 2)

[0506] 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."

[0507] In modern society, there is a need to improve safety in public spaces and commercial facilities, and to enhance the sense of security for individual users. In particular, in places where many people gather, it is important to quickly and accurately understand individual emotions and provide appropriate responses. However, conventional technologies have limitations in recognizing individual emotions and providing specific responses related to them, and there is a problem that they cannot completely alleviate users' anxiety.

[0508] 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.

[0509] In this invention, the server includes an emotion analysis engine means for analyzing the facial expressions and voices of people in the surrounding area and recognizing their emotional state; an information processing device means for determining an appropriate response based on the analysis results and transmitting the instructions to an autonomous device; and an information processing device means for updating the user's emotional history and recording the history in an information recording device. This makes it possible to recognize the emotions of individual users in real time and take appropriate responses based on that in public spaces and commercial facilities.

[0510] An "information terminal" is a computer device used by users to input information and instructions, and to record and manage that information.

[0511] An "information processing device" is a central device that analyzes and processes input information and data to generate instructions and transmit them to other devices.

[0512] An "autonomous device" is a robot or device that acts automatically according to programmed instructions and performs a specified task.

[0513] An "emotion analysis engine" is software that analyzes non-verbal data such as voice and facial expressions, and uses that data to evaluate and recognize an individual's emotions.

[0514] An "information recording device" is a device that records and stores information in a database or storage device, making it accessible as needed.

[0515] The system that realizes this application is an emotion recognition and response system that can be used in many public places and commercial facilities. It is activated when a user accesses the system using an information terminal and provides instructions for deciphering their emotions. The information terminal also plays a role in registering and managing the user's schedule information.

[0516] The server monitors the schedule registered as an information processing device and sends necessary instructions to the autonomous device at the set time. During this process, facial expression and voice data of people in the surrounding area are collected and analyzed by the emotion analysis engine. Based on this data, the emotion analysis engine appropriately recognizes the emotions of each user, and the information processing device determines an appropriate response based on the analysis results. The determined response is transmitted to the autonomous device and executed.

[0517] Autonomous devices operate based on programmed instructions and provide support to enhance the safety and sense of security of those around them. Emotion recognition results and response history are stored in an information recording device and used for future analysis.

[0518] As a concrete example of this system, imagine a scenario in a shopping mall on a holiday where an autonomous device, using its emotion analysis engine, quickly recognizes the anxious expression of a lost child and rushes to the location to call the parents. In this case, the entire system works together to quickly alleviate people's anxiety in public spaces.

[0519] An example of a prompt message would be: "Develop a system within my facility that can quickly detect changes in emotions and provide appropriate services to individuals experiencing anxiety. The necessary hardware and software include smart glasses, an emotion recognition API, an information processing device, an information recording device, and a communication protocol."

[0520] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0521] Step 1:

[0522] The terminal retrieves the user's schedule information as input data. The user registers their schedule using the terminal. This input data serves as the basis for generating output that saves the registered schedule to a database.

[0523] Step 2:

[0524] The server monitors the schedule and processes the registered information as input. As the specified time approaches, the server sends instructions to the autonomous device based on that schedule. Here, a comparison operation of time information is performed to generate the instruction output.

[0525] Step 3:

[0526] The server uses an emotion analysis engine to receive ambient environmental data (facial expressions and voice) from sensors as input data. The analysis engine processes this data and recognizes and classifies the user's emotional state as output.

[0527] Step 4:

[0528] The server receives the analyzed emotional data as input, and the information processing unit determines the appropriate response. Here, the response instructions are generated by comparing them with past emotional history and by performing calculations based on logic.

[0529] Step 5:

[0530] Autonomous devices begin operating based on instructions received as input from a server. This includes route selection and action instructions that take safety and effectiveness into consideration, and actually providing goods or support to the user.

[0531] Step 6:

[0532] The system reports the results of the autonomous device's operation and the user's new emotional state to the server. Here, execution data from the autonomous device is taken as input, and output is generated for storage as history in the information recording device. This process makes it possible to improve the accuracy of responses in subsequent interactions.

[0533] 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.

[0534] 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.

[0535] 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.

[0536] [Fourth Embodiment]

[0537] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0538] 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.

[0539] 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).

[0540] 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.

[0541] 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.

[0542] 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).

[0543] 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.

[0544] 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.

[0545] 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.

[0546] 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.

[0547] 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.

[0548] 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.

[0549] 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".

[0550] This invention provides user support at a specific time using a system consisting of a user, a terminal, a server, and an Android device. The program's processing will be explained below with specific examples.

[0551] In this system, the user first launches a caregiving app on their personal device and enters daily schedule information. This information includes, for example, the type and timing of medication to be taken. The device then formats this information appropriately and sends it to the server.

[0552] The server registers the received schedule information in a database and manages it for each user who initiated it. The server also monitors the registered schedules and sends relevant instructions to the Android device as the specified time approaches.

[0553] When an android receives instructions from a server, it begins performing physical actions based on those instructions. For example, it might retrieve a specified medication from a shelf and deliver it to the user. In this process, the android uses its built-in sensors to move safely while avoiding obstacles.

[0554] The user can receive the specified items delivered by the android and check their completion status. After completing a task, the android reports completion to the server, which then updates its database based on that information and prepares for the next schedule.

[0555] In this way, the system provides an effective means of compensating for labor shortages and supporting users' lives. Because all communication and operations are seamless, it can be easily used by elderly and busy users.

[0556] The following describes the processing flow.

[0557] Step 1:

[0558] The user launches the caregiving app using their device and enters daily schedule information, such as the type and timing of medication to be taken. The device converts the entered information into the appropriate format and sends it to the server.

[0559] Step 2:

[0560] The server registers the schedule information received from the terminal into a database. Based on this registration, the server manages and monitors each user's schedule.

[0561] Step 3:

[0562] Based on the schedule, the server generates a reminder a short time before the designated time and sends the necessary instructions to the Android. These instructions include the type and location of the item to be delivered to the user.

[0563] Step 4:

[0564] The android analyzes instructions received from the server and formulates a plan. For example, it might prepare to retrieve a specified item precisely from its storage location.

[0565] Step 5:

[0566] Based on the plan it has formulated, the android begins its operation to retrieve the item. Typically, it uses sensors to move safely while avoiding obstacles.

[0567] Step 6:

[0568] The android approaches the user and safely delivers the specified item. After delivery, it interacts with the user, such as by requesting confirmation via voice.

[0569] Step 7:

[0570] The Android device reports to the server that the task is complete. The server receives the completion report and updates its database accordingly.

[0571] Step 8:

[0572] The server prepares the next schedule based on the updated data and resumes monitoring. This allows it to be ready for the user's next request.

[0573] (Example 1)

[0574] 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".

[0575] In modern society, the increasing elderly population and busy lifestyles make it difficult to provide individuals with effective time management and necessary goods. This problem is particularly evident in the management of medication and daily necessities. Therefore, there is a need to facilitate time management for users and provide necessary goods at the appropriate time.

[0576] 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.

[0577] In this invention, the server includes communication equipment means for recording time schedule information upon receiving instructions from a user, information processing equipment means for monitoring the recorded time schedule and transmitting instructions to an autonomous device at a specific time, and means including a calculation method for performing procedures to ensure the autonomous device operates while avoiding malfunctions. This enables efficient time management and provision of goods.

[0578] "User" refers to an individual or group that uses the system.

[0579] "Communication equipment" refers to devices that can receive and transmit information, and that record data based on user instructions.

[0580] "Scheduled time information" refers to information about a specific time set by the user, as well as various tasks and requests associated with that time.

[0581] An "information processing device" refers to a computer system or server used to receive, process, and transmit data.

[0582] An "autonomous device" refers to a robotic device that automatically performs physical actions based on instructions it receives.

[0583] "Specific items" refers to specific items or products requested or needed by the user.

[0584] An "information recording medium" refers to a device used to store and manage data, and functions as a database.

[0585] A "computation method" refers to a method of processing data using specific procedures or algorithms, and planning and executing necessary actions.

[0586] This system automates time management and the provision of goods by users. A specific implementation is shown below.

[0587] First, the user launches the care application using their device. This application has an information input interface where the user enters time-scheduled information. This information includes medication type, administration time, and other schedule details. The device is equipped with a communication module (such as Wi-Fi or Bluetooth) that formats the entered information and then sends it to the server.

[0588] The server functions as an advanced information processing device, storing time schedule information received from terminals in a database. This database, built using, for example, MySQL, has the ability to manage information on a per-user basis. The server constantly monitors this data and prepares to trigger actions at the required times. When sending necessary instructions to autonomous devices, communication is conducted according to a specific protocol.

[0589] The autonomous device begins operating based on the instructions it receives. This device has built-in sensors (such as LiDAR and cameras) and the ability to navigate while avoiding obstacles. Following instructions, it retrieves necessary items from designated locations and delivers them to the user. During its movement, it performs path planning using a pre-configured calculation method.

[0590] As a concrete example of applying this system, consider a scenario where a user needs to take aspirin every morning at 8:00 AM. Information is entered into a terminal and monitored by a server. When the designated time arrives, an autonomous device retrieves the aspirin from the shelf and delivers it to the user. This process is fully automated, significantly reducing the user's effort.

[0591] An example of a prompt in a generative AI model is: "Describe the sequence of steps in a system where a user enters their schedule using a device, and an Android device delivers the medication."

[0592] This system allows users to improve the accuracy of their time management and enhance their quality of life.

[0593] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0594] Step 1:

[0595] The user launches the care application using their device and enters schedule information. This application provides input fields for each schedule item specified by the user. For example, the user might enter data such as "aspirin" (a necessary medication) and the timing of its administration ("8:00 AM"). The entered information is formatted in JSON format within the device.

[0596] Step 2:

[0597] The terminal sends formatted JSON data to the server using a communication module. Here, the terminal connects to the server using a data transmission protocol and also performs a process to verify data integrity. The output is sent to the server as formatted schedule information.

[0598] Step 3:

[0599] The server parses the JSON data received from the terminal and stores it in the database system. Specifically, it uses a database system like MySQL to register data based on each user's identifier. The server also verifies the accuracy of the data and performs data cleansing as needed. The output is structured schedule information stored in the database.

[0600] Step 4:

[0601] The server constantly monitors the schedule stored in the database and triggers actions as the execution time approaches. Specifically, it generates and sends instructions to the autonomous device (android) when the specified time approaches. These instructions may include specific tasks such as "take the aspirin from the shelf in the living room and deliver it." The output is the instruction message sent to the autonomous device.

[0602] Step 5:

[0603] The autonomous device, having received instructions from the server, uses its built-in sensors to perceive its environment and begins operating along a planned path. The device retrieves the designated item and moves to the user's location, avoiding obstacles. The output is the result of the item being delivered to the user.

[0604] Step 6:

[0605] The user receives the item delivered from the Android device and confirms receipt through the device app, reporting the completion of the receipt. When the user reports, the device reformats the data and sends it to the server. The output is registered on the server as a task completion report.

[0606] Step 7:

[0607] The server receives completion reports from terminals and updates the database. It checks for new schedule information and prepares for the next task if any. The output is the updated database and preparation for the next task.

[0608] (Application Example 1)

[0609] 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".

[0610] Current food delivery services require efficient delivery scheduling and delivery times tailored to the user's preferences. However, traditional methods often struggle with on-time delivery and insufficient safety during transit. Therefore, improving both user convenience and delivery accuracy is a key challenge.

[0611] 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.

[0612] In this invention, the server includes logistics information processing means for managing goods delivery based on the user's desired delivery time, information processing means for monitoring registered schedules and transmitting instructions to automated machines at specified times, and information processing means for reporting the completion of the automated machine's operation to the information processing means and preparing the next schedule. This makes it possible to deliver goods to the user efficiently and safely at the specified time.

[0613] An "information processing device" is a device that receives user instructions, registers and monitors schedules, and functions as a server.

[0614] An "automated machine" is a robot that operates based on received instructions and has the function of delivering specified items to the user.

[0615] A "logistics information processing system" is a system that manages the delivery of goods based on the user's desired delivery time and creates an efficient delivery plan.

[0616] An "algorithm" is a set of steps that an automated machine follows to avoid obstacles and operate safely.

[0617] A "database" is an information management system that stores and accumulates user health management information and delivery history.

[0618] This invention is a system that efficiently delivers goods based on a user's schedule. First, the user registers their desired delivery date and time using a handheld information processing device. This information is transmitted to a server equipped with a logistics information processing device. The server creates a schedule based on the received information and sends an instruction to the automated machine to begin delivery at the specified time. Upon receiving the instruction from the server, the automated machine safely delivers the goods according to that instruction. Even if obstacles exist, the machine uses a built-in algorithm to avoid them and ensure a clear path to the destination.

[0619] After a delivery is completed, the server receives a report from the automated machine and updates the database in preparation for the next delivery. This database also stores user health information and delivery history, allowing this data to be accessed when needed. For example, if a user requests to receive a specific meal at a designated time, the server can accommodate that request. For instance, a sandwich could be delivered for lunch at a specified time.

[0620] An example of a prompt in a generative AI model might be text like, "Please explain in detail the steps to design a system that efficiently delivers goods at a time specified by the user." In this way, the entire system works in coordination to maximize user convenience.

[0621] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0622] Step 1:

[0623] The user enters schedule information using their device. This information includes the desired delivery date and time, and the items to be received. This information is appropriately organized in JSON format on the device. The output is the organized JSON data.

[0624] Step 2:

[0625] The terminal sends organized JSON data to the server. The server receives this data and stores it in a database. The input is the JSON data from the terminal, and the output is the schedule information registered in the database.

[0626] Step 3:

[0627] The server has the function of periodically monitoring stored schedule information. As the designated time approaches, the server plans the delivery route using a logistics information processing device and sends instructions to the automated machinery. The input is schedule information obtained from the database, and the output is route information and delivery instructions sent to the automated machinery.

[0628] Step 4:

[0629] The automated machine receives instructions from the server, retrieves the specified items, and begins delivery. Its built-in algorithms allow it to avoid obstacles during transit. It adjusts its route from the origin to the destination during delivery. The input is the instructions from the server, and the output is the delivery status.

[0630] Step 5:

[0631] Once the receipt is complete, the automated machine reports the delivery completion to the server. The server records the delivery history in the database and prepares for the next task. The input is the completion report from the automated machine, and the output is the updated database information.

[0632] 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.

[0633] This invention uses a system combining a user, a terminal, a server, an Android device, and an emotion engine to recognize the user's emotions and provide individualized responses accordingly. The program's processing will be explained below with specific examples.

[0634] Users access the system via their terminal and launch applications. The applications utilize an emotion engine to recognize the user's emotions, analyzing their tone of voice, facial expressions, and other factors. For example, if a user speaks in an anxious voice, the emotion engine analyzes this information and recognizes the emotional state as "anxiety."

[0635] The device then sends the recognized emotion information to the server. Based on the received emotion information, the server adjusts the user's individual response. This may include, for example, the Android providing comforting actions or offering specific advice to the user to solve the problem.

[0636] Based on instructions from the server, the Android performs specific actions that respond to the user's emotions. These actions may include offering gentle verbal cues or providing relaxation-related support. For example, if the user is feeling relaxed, the Android might suggest relaxation music in a calming voice.

[0637] On the other hand, the Android device reports the results of its actions and the user's reactions to the server. The server uses this information to record the user's emotional history in a database, enabling more accurate and personalized responses in subsequent interactions.

[0638] This system aims to improve the quality of daily life by providing optimal services that reflect users' emotions in real time. It offers high benefits and can deliver a customized experience tailored to each individual user.

[0639] The following describes the processing flow.

[0640] Step 1:

[0641] The user launches an emotion recognition application using their device and begins a normal interaction. The application analyzes the user's voice and facial expressions and uses an emotion engine to recognize their current emotional state. For example, if the user speaks in a tired voice, the emotion engine detects the emotion "fatigue."

[0642] Step 2:

[0643] The device sends recognized emotion information to the server. This transmission includes tags indicating the user's emotional state and, if necessary, additional contextual information.

[0644] Step 3:

[0645] The server analyzes the received emotional information and determines the appropriate action to take. For example, if "fatigue" is detected, the server instructs the android to create a relaxing environment.

[0646] Step 4:

[0647] The Android receives instructions from the server and initiates physical actions. Specifically, it provides an environment suited to the user's state, such as dimming the lights or playing relaxation music.

[0648] Step 5:

[0649] Users can receive Android support and communicate their experiences and feedback to the server via their device. The server collects this feedback information and uses it to improve future services.

[0650] Step 6:

[0651] The server updates the user's emotional history database, accumulating data to enable further personalization. This allows the system to learn each user's emotional patterns and adaptively enhance its responses.

[0652] (Example 2)

[0653] 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".

[0654] In modern society, providing services tailored to the individual emotions and mental state of each user in real time is a challenging task. Conventional systems struggle to accurately analyze a user's emotions and respond immediately, and may fail to provide appropriate support, especially in situations where emotions are rapidly changing.

[0655] 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.

[0656] In this invention, the server includes terminal means for analyzing the user's emotions, server means for generating an action plan to adjust individual responses based on the analyzed emotional information and sending instructions to an actuator, and server means for constructing prompt sentences using a generated AI model based on the user's emotional information. This enables rapid and individualized responses to changes in emotions.

[0657] A "terminal" is a device used by a user to collect and analyze data such as voice and facial expressions in order to analyze emotions.

[0658] A "server" is a core processing unit that generates an optimal action plan for each user based on analyzed emotional information and sends instructions to actuators.

[0659] An "actuator" is a device that receives instructions from a server and performs a specific action based on those instructions.

[0660] "Emotional information" refers to data that indicates the emotional state of a user, analyzed from factors such as the tone of their voice and facial expressions.

[0661] A "generative AI model" is an artificial intelligence technology used to generate prompts and other outputs that guide users to appropriate responses, based on their emotional information.

[0662] A "prompt message" is text information generated by a generative AI model that guides the user on what actions or responses to take.

[0663] A "database" is a system that stores information to record and analyze user emotional history and feedback.

[0664] This invention relates to a system that analyzes a user's emotions in real time and generates and provides an appropriate action plan to the user based on that analysis. This system consists of a terminal, a server, an actuator, and a generative AI model.

[0665] Users access the system via devices such as smartphones and tablets and launch an application for analyzing emotions. This application uses the device's built-in microphone and camera to capture the user's voice and facial expressions. Software called an emotion engine analyzes this data to identify the user's emotional state.

[0666] The analyzed emotional information is sent from the terminal to the server. Based on the received information, the server uses a generative AI model to generate an optimal action plan for the user. This action plan is then expressed as prompts that correspond to the user's emotions. For example, a prompt such as "How the actuator can gently speak to the user when they are feeling anxious" might be generated.

[0667] The server sends the generated action plan to the actuator. Based on the instructions from the server, the actuator can perform the appropriate action for the user. This allows the user to receive the necessary support and information on the spot.

[0668] This system allows users to receive customized services tailored to their emotions on a daily basis, thereby improving their quality of life.

[0669] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0670] Step 1:

[0671] The user launches an application using the device to capture voice and facial expressions. The device uses its built-in microphone and camera to collect the user's voice tone and facial expression data as input. The collected data is analyzed by an emotion engine to produce an output representing the emotional state. For example, if the user says, "I'm tired today," the device analyzes the user's facial expressions along with the voice.

[0672] Step 2:

[0673] The device sends the analyzed emotional state to the server. In this process, the emotional state is transferred to the server as input data. The server receives this input and uses a generative AI model to generate the optimal action plan for the user. This data processing for generating the action plan includes data calculations to generate appropriate prompt statements from the emotional state. For example, a prompt statement such as "The user is tired, so relaxation music is recommended" might be output.

[0674] Step 3:

[0675] The server sends a generated prompt message to the actuator. The actuator then performs a specific action based on the received prompt. In this case, the actuator is a digital assistant system and executes a command to play relaxation music based on input from the server. Based on the output from the server, the actuator plays gentle music through the speaker.

[0676] Step 4:

[0677] The actuator captures the user's emotional changes and reactions while they are listening to music, and reports the results to the server as feedback. New data obtained from the user's facial expressions and voice is also input, which the server analyzes and records in a database. As a result of the analysis, emotional history data is output to improve the accuracy of future responses. Specifically, the actuator records the user's behavior when they report feeling relaxed due to the music and sends the data to the server.

[0678] (Application Example 2)

[0679] 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".

[0680] In modern society, there is a need to improve safety in public spaces and commercial facilities, and to enhance the sense of security for individual users. In particular, in places where many people gather, it is important to quickly and accurately understand individual emotions and provide appropriate responses. However, conventional technologies have limitations in recognizing individual emotions and providing specific responses related to them, and there is a problem that they cannot completely alleviate users' anxiety.

[0681] 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.

[0682] In this invention, the server includes an emotion analysis engine means for analyzing the facial expressions and voices of people in the surrounding area and recognizing their emotional state; an information processing device means for determining an appropriate response based on the analysis results and transmitting the instructions to an autonomous device; and an information processing device means for updating the user's emotional history and recording the history in an information recording device. This makes it possible to recognize the emotions of individual users in real time and take appropriate responses based on that in public spaces and commercial facilities.

[0683] An "information terminal" is a computer device used by users to input information and instructions, and to record and manage that information.

[0684] An "information processing device" is a central device that analyzes and processes input information and data to generate instructions and transmit them to other devices.

[0685] An "autonomous device" is a robot or device that acts automatically according to programmed instructions and performs a specified task.

[0686] An "emotion analysis engine" is software that analyzes non-verbal data such as voice and facial expressions, and uses that data to evaluate and recognize an individual's emotions.

[0687] An "information recording device" is a device that records and stores information in a database or storage device, making it accessible as needed.

[0688] The system that realizes this application is an emotion recognition and response system that can be used in many public places and commercial facilities. It is activated when a user accesses the system using an information terminal and provides instructions for deciphering their emotions. The information terminal also plays a role in registering and managing the user's schedule information.

[0689] The server monitors the schedule registered as an information processing device and sends necessary instructions to the autonomous device at the set time. During this process, facial expression and voice data of people in the surrounding area are collected and analyzed by the emotion analysis engine. Based on this data, the emotion analysis engine appropriately recognizes the emotions of each user, and the information processing device determines an appropriate response based on the analysis results. The determined response is transmitted to the autonomous device and executed.

[0690] Autonomous devices operate based on programmed instructions and provide support to enhance the safety and sense of security of those around them. Emotion recognition results and response history are stored in an information recording device and used for future analysis.

[0691] As a concrete example of this system, imagine a scenario in a shopping mall on a holiday where an autonomous device, using its emotion analysis engine, quickly recognizes the anxious expression of a lost child and rushes to the location to call the parents. In this case, the entire system works together to quickly alleviate people's anxiety in public spaces.

[0692] An example of a prompt message would be: "Develop a system within my facility that can quickly detect changes in emotions and provide appropriate services to individuals experiencing anxiety. The necessary hardware and software include smart glasses, an emotion recognition API, an information processing device, an information recording device, and a communication protocol."

[0693] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0694] Step 1:

[0695] The terminal retrieves the user's schedule information as input data. The user registers their schedule using the terminal. This input data serves as the basis for generating output that saves the registered schedule to a database.

[0696] Step 2:

[0697] The server monitors the schedule and processes the registered information as input. As the specified time approaches, the server sends instructions to the autonomous device based on that schedule. Here, a comparison operation of time information is performed to generate the instruction output.

[0698] Step 3:

[0699] The server uses an emotion analysis engine to receive ambient environmental data (facial expressions and voice) from sensors as input data. The analysis engine processes this data and recognizes and classifies the user's emotional state as output.

[0700] Step 4:

[0701] The server receives the analyzed emotional data as input, and the information processing unit determines the appropriate response. Here, the response instructions are generated by comparing them with past emotional history and by performing calculations based on logic.

[0702] Step 5:

[0703] Autonomous devices begin operating based on instructions received as input from a server. This includes route selection and action instructions that take safety and effectiveness into consideration, and actually providing goods or support to the user.

[0704] Step 6:

[0705] The system reports the results of the autonomous device's operation and the user's new emotional state to the server. Here, execution data from the autonomous device is taken as input, and output is generated for storage as history in the information recording device. This process makes it possible to improve the accuracy of responses in subsequent interactions.

[0706] 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.

[0707] 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.

[0708] 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 robot 414.

[0709] 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.

[0710] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0711] 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.

[0712] 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.

[0713] 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.

[0714] 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."

[0715] 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.

[0716] 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.

[0717] 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.

[0718] 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.

[0719] 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.

[0720] 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.

[0721] 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.

[0722] 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.

[0723] 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.

[0724] 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.

[0725] 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.

[0726] 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 as being incorporated by reference.

[0727] The following is further disclosed regarding the embodiments described above.

[0728] (Claim 1)

[0729] A terminal device that registers schedule information in response to user instructions,

[0730] A server means that monitors registered schedules and sends instructions to an Android at a specified time,

[0731] An android means that operates based on received instructions and delivers the specified item to the user,

[0732] A server mechanism that reports the completion of the Android operation to the server and prepares the next schedule,

[0733] A system that includes this.

[0734] (Claim 2)

[0735] The system according to claim 1, which includes an algorithm that implements a plan for the android to operate while avoiding obstacles.

[0736] (Claim 3)

[0737] The system according to claim 1, comprising a server means for updating user health management information and recording the history in a database.

[0738] "Example 1"

[0739] (Claim 1)

[0740] A communication device that records time schedule information in response to user instructions,

[0741] Information processing device means that monitors recorded time schedules and transmits instructions to autonomous devices at specific times,

[0742] An autonomous device means that performs an action based on received instructions and provides a specific item to the user,

[0743] Information processing device means that reports the completion of the operation of an autonomous device to the information processing device and prepares the next scheduled time,

[0744] A system that includes this.

[0745] (Claim 2)

[0746] The system according to claim 1, which includes a calculation method for performing a procedure in which the above-mentioned autonomous device operates while avoiding malfunctions.

[0747] (Claim 3)

[0748] The system according to claim 1, comprising an information processing device means for updating the user's health management information and recording the history on an information recording medium.

[0749] "Application Example 1"

[0750] (Claim 1)

[0751] An information processing device means that registers schedule information in response to user instructions,

[0752] Information processing device means that monitors registered schedules and transmits instructions to automated machines at specified times,

[0753] An automated machine means that operates based on received instructions and delivers specified items to the user,

[0754] An information processing device means reports the completion of the operation of an automated machine to the information processing device and prepares the next schedule,

[0755] A logistics information processing device that manages the delivery of goods based on the user's desired delivery time,

[0756] A system that includes this.

[0757] (Claim 2)

[0758] The system according to claim 1, which includes an algorithm that implements a plan for the automated machine to operate while avoiding obstacles.

[0759] (Claim 3)

[0760] The system according to claim 1, comprising information processing means for recording user health management information and delivery history in a database.

[0761] "Example 2 of combining an emotion engine"

[0762] (Claim 1)

[0763] A terminal device for analyzing user emotions,

[0764] A server means that generates an action plan to adjust individual responses based on analyzed emotional information and sends instructions to actuators,

[0765] Actuator means that performs an action based on the received instructions,

[0766] A database means that reports the actuator's operation results and user feedback to a server and records the emotional history,

[0767] A system that includes this.

[0768] (Claim 2)

[0769] The system according to claim 1, which includes an algorithm that analyzes the user's response in real time and adjusts the operation of the actuator.

[0770] (Claim 3)

[0771] The system according to claim 1, comprising a server means for constructing prompt sentences using a generation AI model based on user sentiment information.

[0772] "Application example 2 when combining with an emotional engine"

[0773] (Claim 1)

[0774] An information terminal means for registering schedule information in response to user instructions,

[0775] Information processing device means that monitors registered schedules and transmits instructions to autonomous devices at specified times,

[0776] An autonomous device means that operates based on received instructions and delivers a specified item to the user,

[0777] An emotion analysis engine means for analyzing the facial expressions and voices of people in the surrounding area to recognize their emotional state,

[0778] An information processing device means that determines an appropriate response based on the analysis results and transmits the instructions to an autonomous device,

[0779] An information processing device means reports the completion of the operation of an autonomous device to the information processing device and prepares the next schedule,

[0780] A system that includes this.

[0781] (Claim 2)

[0782] The system according to claim 1, which includes an algorithm that enables the autonomous device to operate while avoiding obstacles.

[0783] (Claim 3)

[0784] The system according to claim 1, comprising information processing means for updating the user's emotional history and recording the history in an information recording device. [Explanation of symbols]

[0785] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A terminal device that registers schedule information in response to user instructions, A server means that monitors registered schedules and sends instructions to an Android at a specified time, An android means that operates based on received instructions and delivers the specified item to the user, A server mechanism that reports the completion of the Android operation to the server and prepares the next schedule, A system that includes this.

2. The system according to claim 1, which includes an algorithm that implements a plan for the android to operate while avoiding obstacles.

3. The system according to claim 1, comprising a server means for updating user health management information and recording the history in a database.

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