system

Abstract

We provide the system. [Solution] A means of integrating schedule information, A means of optimizing household activities based on an integrated schedule, A means of adjusting the action plan in real time in response to changes in the schedule, Means for monitoring and controlling electrical equipment to maximize resource efficiency, A means of sharing information and promoting communication among users, Means of supporting efficient transportation in cooperation with public resources, 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 and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern families, due to dual-income and busy schedules, it is difficult to adjust the division of household chores according to the schedules of each member. In particular, flexible and real-time responses are required for sudden schedule changes and unpredictable events. Also, it is an issue to reduce the burden of housework, use home appliances efficiently, and minimize energy consumption. Furthermore, it is necessary to improve the lack of communication within the family and enable smooth information sharing.

Means for Solving the Problems

[0005] This invention provides a means to integrate the schedule information of all family members and optimize household tasks considering individual characteristics. This allows for personalized household chore assignments to be proposed to each member, thereby increasing efficiency. It also includes a function to detect sudden schedule changes in real time and automatically readjust schedules. Furthermore, it supports sustainable living by using means to monitor household appliances and maximize energy efficiency. Finally, it comprehensively solves these problems by including a platform to promote information sharing among users and revitalize communication within the family.

[0006] "Means for integrating schedule information" refers to a function that aggregates users' schedules and manages them on a single platform.

[0007] "Methods for optimizing household tasks" refer to algorithms that efficiently allocate household chores based on family schedules.

[0008] "A means of adjusting the schedule in real time in response to changes in the plan" refers to a function that detects external information and sudden changes and quickly reconfigures the schedule.

[0009] "Means for monitoring and controlling home appliances to maximize energy efficiency" refers to a system that operates smart home appliances based on data to minimize energy consumption.

[0010] "A means of sharing information and promoting communication among users" refers to a platform designed to facilitate information exchange within the home and improve communication.

[0011] "Methods for assigning tasks while considering individual characteristics" refers to the process of determining the optimal role for each family member according to their habits and abilities.

[0012] "Methods for automating task readjustment" refer to methods that automatically reflect necessary corrections when changes occur, saving time and effort. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

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

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

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be 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.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

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

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is implemented as a system that automates scheduling and household chore management within the home. The operation of the programs constituting this system is described below in natural language.

[0035] Data collection and integration

[0036] The server retrieves schedule information through the APIs of the digital calendar services used by each user. It similarly collects the schedules of other household members and integrates them into a single database. This integrated database serves as the foundation for visualizing the entire household's schedule.

[0037] Optimizing household chore schedules

[0038] The server calculates the free time of all family members from the integrated data. Based on this information, an AI algorithm calculates the optimal division of household chores. The division takes into account the skills and habits of each member.

[0039] Notification and approval

[0040] The terminal notifies each member of the calculated household chore schedule. Users who receive the notification can check the schedule on their terminal and approve or request changes as needed. If a change is requested, the server receives it and readjusts the schedule.

[0041] Real-time adjustment

[0042] The server constantly monitors external data (e.g., weather and traffic information) to obtain information that may affect household schedules. Based on this information, it updates schedules in real time as needed. In this process, new or changed tasks are automatically reassigned.

[0043] Home appliance control

[0044] The server monitors the status of smart home appliances in the home. For example, it can check the usage of appliances such as air conditioners and washing machines and adjust their operating times to maximize energy efficiency. This adjustment is performed by a pre-configured optimization algorithm.

[0045] Promoting communication

[0046] The server provides a communication platform for users to share schedules and household chore progress. Users can access this platform via their devices and exchange information with all family members. This facilitates smooth information sharing within the household and revitalizes communication.

[0047] Specific example

[0048] If a family anticipates that the father will often be late from work on certain days, the server will proactively avoid those days, reduce the amount of housework assigned to the father, and reallocate it to other family members. If children's events are canceled due to sudden weather changes, the server will quickly reflect this information and add other tasks to the newly freed-up time during the day. In this way, the system flexibly responds to household activities and enables efficient management of household chores.

[0049] The following describes the processing flow.

[0050] Step 1:

[0051] The server retrieves detailed schedule information from all household members' digital calendar services via API. During this process, it collects date, event, and alarm settings, and stores them in an integrated database.

[0052] Step 2:

[0053] The server analyzes the schedules of all members and performs an analysis process to determine each member's free time. Based on the analysis results, it applies an AI algorithm to generate a schedule that optimally distributes household tasks.

[0054] Step 3:

[0055] The device receives the generated household chore schedule and notifies each household member via push notification or email. The recipient user then uses the device to review the schedule and send approval or modification requests as needed.

[0056] Step 4:

[0057] The server receives the change request from the user and re-optimizes the schedule. It then re-notifies each member's terminal of the new, revised schedule.

[0058] Step 5:

[0059] The server retrieves weather forecasts and local event information from external data providers in real time, collecting information that may affect the schedule. If schedule changes are required in real time, the server automatically reconfigures the schedule based on this information.

[0060] Step 6:

[0061] The server monitors the status of home appliances and calculates the optimal operating schedule for each device. By controlling appliances as needed, it minimizes energy consumption. For example, it sets the operating times of washing machines and dishwashers to coincide with periods when power is stable.

[0062] Step 7:

[0063] The device notifies each user of schedule changes and progress via a communication platform. It also provides an interface for sending messages and comments, enabling users to collaborate with each other.

[0064] Step 8:

[0065] Users access the communication platform using their devices to share progress and exchange opinions within the family. This facilitates smoother consensus-building among family members.

[0066] (Example 1)

[0067] 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."

[0068] In modern households, individual schedules are diverse, and unexpected changes to plans occur frequently, making efficient household management difficult. In particular, the division of household chores, optimization of energy use, and information sharing within the family often place a heavy burden on individuals, and adequate scheduling is frequently lacking. Therefore, there is a need to streamline task management within the household, improve energy efficiency, and promote smooth communication.

[0069] 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.

[0070] In this invention, the server includes means for acquiring and integrating schedule information, means for optimizing work tasks based on the integrated data, means for monitoring external information and adjusting schedules in real time, means for monitoring household devices and optimizing energy efficiency, and means for sharing information and facilitating interaction among users. This enables efficient schedule management within the home, efficient distribution of household chores, and flexible responses to sudden schedule changes.

[0071] "Schedule information" refers to data such as time, location, and participants obtained from schedule management services that users use on a daily basis.

[0072] "Integration" refers to the process of organizing and combining information collected from multiple data sources into a single, consistent database.

[0073] "Labor tasks" refer to the daily duties and responsibilities that each member of the household should perform, including household chores such as cooking and cleaning.

[0074] "Optimization" refers to the process of adjusting conditions to extract maximum efficiency using limited resources.

[0075] "External information" refers to data obtained from outside the home, such as weather and traffic, that may affect system processing.

[0076] "Household devices" refer to electrical appliances and equipment used in the home, and primarily include those that can be linked with smart devices.

[0077] "Energy efficiency" is an indicator that evaluates whether the energy used is utilized without waste, and is particularly aimed at managing electricity consumption in households.

[0078] "Users" refers to each household member who uses the system on a daily basis, and includes individuals who have roles or tasks within the system.

[0079] "Promoting interaction" refers to creating an environment that facilitates communication and smooth information sharing.

[0080] This invention is embodied as a system for streamlining schedule management and household chore distribution within the home. Its main components include a server, terminals, and users.

[0081] The server functions as the core of this system. It retrieves schedule information through the APIs of the digital calendar services used by each user, such as the Google® Calendar API and the Outlook API. This data is organized into a single integrated database. Based on this data, the server calculates the optimal allocation of household tasks for each household member. A generative AI model is used for this calculation. The AI ​​algorithm takes into account the user's past task history and individual characteristics to propose the most efficient way to divide tasks.

[0082] The terminal serves as the interface for each user to actually view data and perform necessary operations. Notifications from the server are received via smartphone or tablet applications. Users can view their assigned tasks on the terminal and submit approval or modification requests.

[0083] Users will play a role in managing household schedules and facilitating communication through this system. Each user can use their own device to check their assigned tasks and schedules and make changes to suit their own plans.

[0084] For example, a server might retrieve weather data and, based on the results, change household chores scheduled for outdoors into indoor tasks. Also, if the father is expected to be late from work, tasks might be redistributed to other members on that day.

[0085] An example of a prompt would be: "Describe an AI system that optimizes household member schedules and assigns the most suitable household tasks to each member."

[0086] In this way, this system streamlines the tasks of each member within the household, improving energy efficiency and promoting communication.

[0087] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0088] Step 1:

[0089] The server retrieves each user's schedule information via the digital calendar API. The input data consists of individual appointments for each user. Based on this, the server creates a unified database in a format that avoids duplicate appointments. The output is consistent schedule data for all members of the household. Specifically, the process involves calling APIs from each calendar service and retrieving appointments in JSON format.

[0090] Step 2:

[0091] The server optimizes household tasks using integrated scheduling data. It also utilizes user skill data and past task history as input. A generative AI model is used to assign the most suitable household tasks to each family member. The output is an optimized household chore distribution chart. Specifically, the AI ​​algorithm distributes tasks to each member, creating a distribution chart that takes into account skills and available time.

[0092] Step 3:

[0093] The server notifies each user's device of an optimized household chore schedule. The input is the chore schedule, and the output is a task notification sent to each member. The device is responsible for providing this information to each member of the household, and users who view the displayed schedule can approve or request changes on their device. Specifically, this includes a mechanism to display pop-up messages to users through a notification app.

[0094] Step 4:

[0095] The server constantly monitors data from external sources, such as weather data services and traffic information services. Inputs are updates to this external data, and outputs are schedule adjustment notifications. Based on this information, the schedule is readjusted in real time. Specific operations include using APIs to retrieve data from external services and modifying household task schedules based on specified conditions.

[0096] Step 5:

[0097] The server monitors the status of smart home appliances in the home and operates them as needed. Inputs are data on the operating status of the appliances, and outputs are adjusted operating schedules for those appliances. This optimizes the operation of household equipment to improve energy efficiency. Specifically, this includes sending control signals to operate appliances while avoiding peak power consumption times.

[0098] Step 6:

[0099] The server facilitates information sharing among users within the system and enhances communication. Inputs include each user's progress and messages, while output is information shared among users. This process allows for the exchange of opinions through a chat system, promoting smooth cooperation within the household. Specifically, it provides the functionality for users to send and receive messages using their devices.

[0100] (Application Example 1)

[0101] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0102] In modern society, managing household schedules and optimizing energy efficiency are crucial challenges. In particular, efficient resource management and improved convenience for citizens are required, given the diverse lifestyles and changing schedules of each household. Furthermore, collaboration with public resources in smart cities is insufficient, resulting in inadequate and efficient transportation support. Solutions to these problems are needed to ensure citizens can live safely and comfortably.

[0103] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0104] In this invention, the server includes means for integrating schedule information, means for optimizing household activities based on the integrated schedule, means for adjusting the action plan in real time in response to changes in the schedule, means for monitoring and controlling electrical equipment to maximize resource efficiency, means for sharing information and facilitating communication among users, and means for supporting efficient travel in cooperation with public resources. This enables efficient management of schedules inside and outside the home and rational use of energy, and further improves the quality of life for citizens through coordination with public resources.

[0105] "Schedule information" refers to the collective data related to appointments and schedules used by the user and their household.

[0106] "Domestic activities" refers to a series of actions that take place within the home, including everyday tasks, events, and household chores.

[0107] An "action plan" is a time-series or prioritized plan of actions and tasks scheduled based on a specific goal.

[0108] "Electrical equipment" is a general term for devices and equipment installed in homes that operate using electricity.

[0109] "Resource efficiency" refers to a state or indicator that aims to achieve the greatest effect with the minimum amount of energy and other resources provided.

[0110] "Information sharing" refers to the exchange of information such as data and messages among multiple users.

[0111] "Promoting communication" means ensuring that information is exchanged smoothly and effectively.

[0112] "Public resources" refer to resources and facilities in the local community that are widely available to the general public, such as transportation, parks, and libraries.

[0113] "Efficient travel" refers to reaching your destination without wasting time or energy.

[0114] The system for carrying out this invention includes a program for the integrated management of home and public resources. A server retrieves appointment information through the API of the digital calendar service used by each user and integrates it into a central database. This database forms the basis for visualizing all appointments both inside and outside the home.

[0115] The server executes AI algorithms using Python libraries such as pandas and scikit-learn to optimize household activities based on integrated schedule data. It also acquires external data in real time (e.g., weather information and public transport status) and dynamically adjusts the activity plan using the Google Maps API, among others.

[0116] Smart meter APIs and in-home IoT devices are used to control electrical appliances. This allows for the development of optimal usage schedules for electrical appliances to maximize energy efficiency.

[0117] Users can access the system via smartphones or smart glasses to check and change their schedules. Furthermore, a communication platform is provided for users to share information with each other, supporting rapid decision-making and collaboration.

[0118] For example, if a sudden weather change occurs, the server will use that information to readjust the schedule and shift outdoor activities to indoor tasks. An example of a prompt for the generated AI model is, "Explain how coordinating household tasks with smart city public resources can make citizens' lives more efficient."

[0119] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0120] Step 1:

[0121] The server automatically retrieves each user's schedule information using the API of a digital calendar service. The input is each user's calendar authentication information, and the output is the retrieved schedule data. The server integrates this data and stores it in a central database. This allows for unified management of all appointments, both inside and outside the home.

[0122] Step 2:

[0123] The server executes an AI algorithm based on an integrated schedule database. The input is the schedule information from the integrated database, and the output is an optimized household activity plan. Data processing is performed using libraries such as Python's pandas and scikit-learn to calculate the optimal activity schedule that takes into account each user's free time and skill set.

[0124] Step 3:

[0125] The server collects real-time data using external weather and traffic information APIs. The input is data from external information APIs, and the output is an updated action plan. The action plan is dynamically adjusted based on external factors, and any changes that may affect users are implemented in a timely manner.

[0126] Step 4:

[0127] The server monitors the usage data of electrical appliances in the home and obtains power consumption information from the smart meter API. The input is the user's electrical appliance usage, and the output is an optimized power usage plan. Based on this, the server formulates the optimal electrical appliance usage schedule to maximize resource efficiency.

[0128] Step 5:

[0129] The device notifies the user of changed schedules and the latest household activity plans. Input is schedule change information from the server, and output is notifications to the user. The user can use the device to check appointments, request changes, and send feedback to the server.

[0130] Step 6:

[0131] Users share information about schedules and tasks with other family members using the provided communication platform. Input is the user's message data, and output is the transmission of information to other members. This facilitates smoother decision-making and promotes communication within the family.

[0132] 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.

[0133] This invention provides a highly automated system for managing schedules and assigning household chores, and includes a function to adjust tasks while taking into account the user's emotional information. The following describes how this system is implemented.

[0134] Data collection and integration

[0135] The server retrieves and integrates schedule information from each user's registered digital calendar. It also collects emotional information from each user's device through emotion-related data (e.g., smartphone camera, voice assistant, wearable devices). Based on this information, the server understands the user's current emotional state.

[0136] Optimizing household chore schedules and managing emotions

[0137] The server analyzes integrated schedule data and emotional information from the emotion engine to assign household tasks that best suit the user's free time and emotional state. The emotion engine makes adjustments, such as assigning easier tasks to users who are stressed or reducing tasks if they need to refresh themselves.

[0138] Notification and approval

[0139] The device notifies each user of their assigned tasks and schedules. Users receive this information via push notifications or email. Users can review their schedules and, if necessary, approve or request changes.

[0140] Real-time adjustments and emotional feedback

[0141] The server constantly monitors external information (weather, traffic conditions, etc.) and the user's emotional state, and adjusts the schedule accordingly. The emotion engine detects changes in the user's emotions and redistributes or modifies tasks in real time as needed.

[0142] Optimization of home appliance control

[0143] The server can control the operation of home appliances based on emotional information and make settings to create a relaxing atmosphere (such as changing the color tone of the lighting and playing music). It can also adjust operating times to take energy efficiency into consideration.

[0144] Facilitating communication and sharing emotions

[0145] The device visualizes schedules and task progress and supports information sharing among users. Emotional states detected by the emotion engine may be notified to other family members, and a messaging function is provided to activate communication based on this information.

[0146] Specific example

[0147] If a user experiences high levels of stress at work one day, the emotion engine recognizes this emotion, and the server changes complex household chores that were scheduled to be assigned to that user into simpler tasks. Furthermore, the server controls home appliances to change the lighting to a softer tone and play relaxing music. In this way, the system enables flexible and considerate household management that responds to the user's emotions.

[0148] The following describes the processing flow.

[0149] Step 1:

[0150] The server accesses each user's digital calendar service and retrieves appointment information via an API. This information is integrated into a shared database used within the household and updated in real time.

[0151] Step 2:

[0152] The server analyzes biometric data acquired from the user's voice, video, and wearable devices, and uses an emotion engine to identify the user's current emotional state. For example, it assesses stress levels from changes in voice patterns and heart rate.

[0153] Step 3:

[0154] Based on integrated schedule information and emotional data, the server calculates and assigns the most suitable household tasks to each user according to their free time and emotional state. For users experiencing stress, adjustments are made to reduce the burden of tasks.

[0155] Step 4:

[0156] The device notifies each user of their assigned household chore schedule. Users can choose to receive notifications via push notifications or email, and they can then review the notifications and approve or request changes to their schedule.

[0157] Step 5:

[0158] The server receives the change request from the user and automatically readjusts the schedule. The readjusted schedule is then notified to each user's terminal again.

[0159] Step 6:

[0160] The server retrieves weather information and local event data from external data providers and updates schedules in real time if they are affected. It also immediately readjusts schedules if changes in emotions are detected.

[0161] Step 7:

[0162] The server monitors the operating status of various household appliances and controls their operation based on emotional information. For example, it might adjust the intensity and color of lighting to create a relaxing environment, or play preferred music.

[0163] Step 8:

[0164] The device shares information about schedules and emotional states on a communication platform, keeping other family members informed of the situation in real time. Users can use this platform to leave comments and send messages.

[0165] Step 9:

[0166] Users receive emotional changes and daily feedback while checking new schedules and household tasks through their devices. This enables task management optimized for their emotional state.

[0167] (Example 2)

[0168] 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 will be referred to as the "terminal."

[0169] In modern families, there is a need for efficient household management that takes into account the schedules and emotional states of each member. Traditional systems have been unable to adequately integrate schedule information for each user, making it difficult to assign tasks and adjust schedules in real time while considering emotional states. Furthermore, environmental adjustments through the control of home appliances are limited, making energy efficiency optimization a challenge.

[0170] 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.

[0171] In this invention, the server includes means for acquiring schedule information and integrating data from multiple users, means for analyzing acquired emotion-related information and understanding the emotional state of each user, and means for optimizing household chores based on the integrated schedule information and the emotional state of the users. This enables efficient household chore management that takes into account the individual characteristics and emotional state of each user.

[0172] "Schedule information" refers to data about schedules and events registered by users.

[0173] "Emotion-related information" refers to data that indicates the user's feelings and emotional state, and includes information such as facial recognition, voice tone, and heart rate obtained from the device.

[0174] "Integration" refers to combining and processing schedule information and sentiment-related information from different users into a single dataset.

[0175] "Optimizing household chores" is the process of assigning and executing household tasks in the most efficient and effective way, based on the user's schedule and emotional state.

[0176] "Notification method" refers to the means of transmitting information to users, and includes push notifications and email.

[0177] "Controlling electronic devices" refers to managing the operation of home appliances based on instructions from a server, aiming to adjust the environment and improve energy efficiency.

[0178] "Real-time automatic adjustment" refers to the instant updating and adaptation of schedules and household tasks in response to external information and changes in the user's emotions.

[0179] "Information sharing among users" refers to the process of sharing data such as schedules and emotional states accumulated within the system with other users, thereby promoting more active communication.

[0180] This invention is a system in which a server, terminals, and users work together to streamline schedule management and household chore assignment within the home. The entire system is appropriately adjusted based on planning information, including the user's emotional state.

[0181] The server retrieves schedule information from each user's digital calendar application using APIs and stores it in a database. Emotion-related information is collected from the user's smartphone, voice recognition device, and wearable device equipped with a heart rate sensor. This data is integrated and analyzed using Python libraries (Pandas, NumPy). The emotion engine uses machine learning models to evaluate emotional states and calculate appropriate indicators.

[0182] The server optimizes household tasks based on integrated information, assigning tasks according to the user's free time and emotional state. Tasks and schedules are notified to the user via push notifications and email, and the user can check and request changes via their device.

[0183] The server monitors external information (e.g., weather and traffic conditions) and changes in the user's emotional state in real time, and automatically adjusts the schedule as needed through streaming platforms such as Apache® Kafka. Furthermore, it controls electronic devices in the home (lighting, music player, etc.) according to the emotional state to provide a comfortable environment.

[0184] As an example, when a user is experiencing high levels of stress in the workplace, the emotion engine recognizes this state, and the server changes complex household tasks into simpler ones. Instructions are sent to electronic devices to change the house lighting to warmer colors and play calming music, thereby creating a relaxing environment for the user.

[0185] An example of a prompt to input into the generating AI model is: "Please explain the mechanism of the schedule adjustment system based on user emotion data. In particular, please give specific examples of how to handle situations when the user is under high stress."

[0186] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0187] Step 1:

[0188] The server collects schedule information through the API of the digital calendar application that each user connects to. The input is the schedule data set by each individual user. This data is retrieved in JSON format and stored in a database on the server. Specifically, the server uses each user's account information to make API calls and retrieve event and task information.

[0189] Step 2:

[0190] The server collects emotion-related information from the user's smartphone or wearable device. Inputs include emotional indicators such as facial recognition, voice tone, and heart rate. This data is collected as numerical data representing the user's mood and stored in a database. Specifically, the server monitors data streams from sensors and cameras, acquiring necessary information in real time.

[0191] Step 3:

[0192] The server integrates the collected schedule information and sentiment data and performs data analysis. The input is the dataset obtained in Step 1 and Step 2. This data is processed using Python's Pandas and NumPy to calculate each user's free time and sentiment state. It also uses a sentiment engine to evaluate sentiment state and calculate stress levels and happiness levels. The output is a schedule and sentiment state profile associated with each user.

[0193] Step 4:

[0194] The server optimizes household chores based on the analysis results. The input is the profile created in step 3. Using an AI algorithm, it automatically assigns household tasks that are suitable for the user's free time and emotional state. Specifically, it schedules each task appropriately according to its difficulty and execution time. The output is a task list and schedule optimized for each individual user.

[0195] Step 5:

[0196] The terminal notifies each user of tasks and schedules based on instructions from the server. The input is the task list created in step 4. Notifications are sent via push notifications or email, prompting users to check their schedules. Specifically, the terminal sends a notification, allowing the user to send a confirmation or modification request. The output is the user's response to confirm or modify the schedule.

[0197] Step 6:

[0198] The server monitors external information and changes in user sentiment in real time and adjusts the schedule as needed. Inputs include weather, traffic conditions, and changes in user sentiment. Streaming data processing using Apache Kafka is used to reflect these changes immediately. Outputs are the adjusted schedule and task assignments.

[0199] Step 7:

[0200] The server controls electronic devices in the home and adjusts the environment according to the user's emotional state. The input is the emotional state obtained in step 6 and real-time user information. The electronic devices control lighting settings and music playback, automatically creating a relaxing environment. The output is the optimized home environment.

[0201] (Application Example 2)

[0202] 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".

[0203] In modern living environments, managing household schedules and assigning tasks is complex. This complexity is further amplified by the interplay of each family member's schedule, individual characteristics, and emotional state. Current systems struggle to smoothly adjust these factors, and such adjustments require significant time and effort. There is a need for effective support to resolve this situation and improve users' quality of life.

[0204] 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.

[0205] In this invention, the server includes means for integrating schedule information, means for collecting emotional information and adjusting work tasks based on that information, and means for notifying mobile communication terminals and providing suggestions. This makes it possible to highly optimize and adjust household schedule management and work task assignments while taking into account each user's emotional state and individual characteristics.

[0206] "Schedule information" refers to data related to time planning that individual users use to manage their daily lives, and this includes details of events and appointments.

[0207] "Integration" refers to the process of combining information collected from multiple data sources into a single, unified structure.

[0208] A "task" refers to a unit of action or activity that should be performed in the home or other environment to achieve a specific purpose.

[0209] "Optimization techniques" are methods for adjusting a process to achieve a result efficiently and effectively under given conditions.

[0210] "Real-time" refers to the concept of time in which processing or reactions occur immediately the moment data is generated or changed.

[0211] A "time plan" is a plan or schedule for efficiently carrying out goals or activities that need to be achieved within a specific period of time.

[0212] A "control device" is a device used to manage, monitor, and adjust the operation of equipment or systems that have a specific function.

[0213] "Resource efficiency" is an indicator that represents the degree of effectiveness in relation to the amount of resources consumed in achieving a specific goal.

[0214] "User" refers to an individual or group that uses a system or service.

[0215] "Information sharing" refers to the act of disclosing or providing specific information in a way that allows multiple users to access it.

[0216] "Means of promoting interaction" refers to methods and processes for stimulating communication and interaction among users.

[0217] "Emotional information" refers to data about a user's mood and psychological state at a specific point in time.

[0218] "Means of adjustment" refers to measures taken to modify or optimize a process or system in accordance with specific conditions or objectives.

[0219] A "mobile communication terminal" is a device that provides communication functions in a portable form, and generally includes smartphones and tablets.

[0220] "Means of providing notifications and suggestions" refers to functions that send information to users and recommend specific actions based on that information.

[0221] In this invention, a server acts as the central hub for efficiently optimizing home schedule management and task assignment. The server first integrates schedule information collected from each user's mobile communication terminal. This integration utilizes devices such as smartphones and tablets. The schedule information is managed in the cloud and efficiently synchronized from various data sources.

[0222] The server also collects emotional information from the user's device. This involves using an AI model that leverages the smartphone's camera and microphone to accurately analyze the user's emotional state from their facial expressions and voice. The software used includes machine learning libraries such as TENSORFLOW® and PyTorch. Furthermore, an emotion engine processes this data in real time to understand the user's emotional state.

[0223] Based on emotional and scheduled information, the server optimizes work tasks. Specifically, if the emotional engine detects stress, it suggests relaxing tasks to the user. This includes functions such as playing music through noise-canceling earphones and adjusting lighting. It also improves the user's quality of life by sending notifications to mobile communication terminals and suggesting schedules as needed.

[0224] For example, when a user is experiencing high stress, the server can sense their emotions and adjust the system to create a quiet environment. Another example of a prompt is, "If the user is tired, suggest relaxing activities," which the AI ​​model then uses to provide appropriate suggestions.

[0225] Because these processes are managed entirely through cloud services, it is possible to provide a seamless user experience while coordinating with multiple devices.

[0226] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0227] Step 1:

[0228] The server retrieves schedule information from each user's mobile communication terminal. The input is data from the user's calendar application. The server sends this data to the cloud and stores it in an integrated database. The output is integrated schedule information.

[0229] Step 2:

[0230] The server acquires audio and facial expression data through the device's camera and microphone to collect user emotion information. The inputs include real-time captured audio and image data. The emotion engine uses a machine learning model (e.g., TensorFlow) to analyze the user's current emotional state from this input data and generates emotion information as output.

[0231] Step 3:

[0232] The server optimizes work tasks based on integrated schedule and sentiment information. The inputs are schedule and sentiment information. These are analyzed in combination to schedule tasks optimally according to the user's situation. The output is the adjusted schedule.

[0233] Step 4:

[0234] The server notifies the user's device of the adjusted schedule. The input is optimized task and schedule information. The device receives this information and generates a push notification to display to the user. The output is the schedule notification on the user's device.

[0235] Step 5:

[0236] The user reviews the schedule and tasks displayed on the device and chooses whether to accept them. The input is the schedule information displayed on the device. Based on the user's actions, schedule adjustments are requested as needed. The output is the user's feedback.

[0237] Step 6:

[0238] The server readjusts the schedule in real time based on user feedback and external information (e.g., weather information). Inputs are user feedback and external information. Based on this information, tasks are reassigned again to provide the best possible suggestions for the user. Output is the updated schedule.

[0239] Step 7:

[0240] The server adjusts the control device settings based on the user's emotional information. The input is emotional information, which is used to adjust lighting and music to promote relaxation. The output is the adjusted environment settings.

[0241] 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.

[0242] 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.

[0243] 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.

[0244] [Second Embodiment]

[0245] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0246] 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.

[0247] 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).

[0248] 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.

[0249] 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.

[0250] 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).

[0251] 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.

[0252] 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.

[0253] 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.

[0254] 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.

[0255] 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.

[0256] 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".

[0257] This invention is implemented as a system that automates scheduling and household chore management within the home. The operation of the programs constituting this system is described below in natural language.

[0258] Data collection and integration

[0259] The server retrieves schedule information through the APIs of the digital calendar services used by each user. It similarly collects the schedules of other household members and integrates them into a single database. This integrated database serves as the foundation for visualizing the entire household's schedule.

[0260] Optimizing household chore schedules

[0261] The server calculates the free time of all family members from the integrated data. Based on this information, an AI algorithm calculates the optimal division of household chores. The division takes into account the skills and habits of each member.

[0262] Notification and approval

[0263] The terminal notifies each member of the calculated household chore schedule. Users who receive the notification can check the schedule on their terminal and approve or request changes as needed. If a change is requested, the server receives it and readjusts the schedule.

[0264] Real-time adjustment

[0265] The server constantly monitors external data (e.g., weather and traffic information) to obtain information that may affect household schedules. Based on this information, it updates schedules in real time as needed. In this process, new or changed tasks are automatically reassigned.

[0266] Home appliance control

[0267] The server monitors the status of smart home appliances in the home. For example, it can check the usage of appliances such as air conditioners and washing machines and adjust their operating times to maximize energy efficiency. This adjustment is performed by a pre-configured optimization algorithm.

[0268] Promoting communication

[0269] The server provides a communication platform for users to share schedules and household chore progress. Users can access this platform via their devices and exchange information with all family members. This facilitates smooth information sharing within the household and revitalizes communication.

[0270] Specific example

[0271] If a family anticipates that the father will often be late from work on certain days, the server will proactively avoid those days, reduce the amount of housework assigned to the father, and reallocate it to other family members. If children's events are canceled due to sudden weather changes, the server will quickly reflect this information and add other tasks to the newly freed-up time during the day. In this way, the system flexibly responds to household activities and enables efficient management of household chores.

[0272] The following describes the processing flow.

[0273] Step 1:

[0274] The server retrieves detailed schedule information from all household members' digital calendar services via API. During this process, it collects date, event, and alarm settings, and stores them in an integrated database.

[0275] Step 2:

[0276] The server analyzes the schedules of all members and performs an analysis process to determine each member's free time. Based on the analysis results, it applies an AI algorithm to generate a schedule that optimally distributes household tasks.

[0277] Step 3:

[0278] The terminal receives the generated household schedule and notifies each family member via push notifications or emails. The user who receives it uses the terminal to check the schedule and sends a request for approval or change if necessary.

[0279] Step 4:

[0280] The server accepts the change request from the user, optimizes the schedule again, and re-notifies each member's terminal with the new schedule after the change.

[0281] Step 5:

[0282] The server obtains real-time weather forecast information and local event information provided by an external data provider, collects information that affects the schedule, and automatically reconfigures the schedule based on this if a schedule change is required in real time.

[0283] Step 6:

[0284] The server monitors the status of household appliances, calculates the optimal operation schedule for each device, and minimizes energy consumption by controlling the appliances as needed. For example, set the operating time of the washing machine and dishwasher during periods of stable power.

[0285] Step 7:

[0286] The terminal notifies each user of schedule changes and progress via the communication platform, and provides an interface for sending messages and comments so that users can cooperate with each other.

[0287] Step 8:

[0288] The user accesses the communication platform using the terminal to make progress and exchange opinions within the family, which makes it smoother to reach an agreement among family members.

[0289] (Example 1)

[0290] 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."

[0291] In modern households, individual schedules are diverse, and unexpected changes to plans occur frequently, making efficient household management difficult. In particular, the division of household chores, optimization of energy use, and information sharing within the family often place a heavy burden on individuals, and adequate scheduling is frequently lacking. Therefore, there is a need to streamline task management within the household, improve energy efficiency, and promote smooth communication.

[0292] 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.

[0293] In this invention, the server includes means for acquiring and integrating schedule information, means for optimizing work tasks based on the integrated data, means for monitoring external information and adjusting schedules in real time, means for monitoring household devices and optimizing energy efficiency, and means for sharing information and facilitating interaction among users. This enables efficient schedule management within the home, efficient distribution of household chores, and flexible responses to sudden schedule changes.

[0294] "Schedule information" refers to data such as time, location, and participants obtained from schedule management services that users use on a daily basis.

[0295] "Integration" refers to the process of organizing and combining information collected from multiple data sources into a single, consistent database.

[0296] "Labor tasks" refer to the daily duties and responsibilities that each member of the household should perform, including household chores such as cooking and cleaning.

[0297] "Optimization" refers to the process of adjusting conditions to extract maximum efficiency using limited resources.

[0298] "External information" refers to data obtained from outside the home, such as weather and traffic, that may affect system processing.

[0299] "Household devices" refer to electrical appliances and equipment used in the home, and primarily include those that can be linked with smart devices.

[0300] "Energy efficiency" is an indicator that evaluates whether the energy used is utilized without waste, and is particularly aimed at managing electricity consumption in households.

[0301] "Users" refers to each household member who uses the system on a daily basis, and includes individuals who have roles or tasks within the system.

[0302] "Promoting interaction" refers to creating an environment that facilitates communication and smooth information sharing.

[0303] This invention is embodied as a system for streamlining schedule management and household chore distribution within the home. Its main components include a server, terminals, and users.

[0304] The server functions as the core of this system. It retrieves schedule information through the APIs of the digital calendar services used by each user, such as the Google Calendar API and the Outlook API. This data is organized into a single integrated database. Based on this data, the server calculates the optimal allocation of household tasks for each member of the household. A generative AI model is used for this calculation. The AI ​​algorithm takes into account the user's past task history and individual characteristics to propose the most efficient way to divide tasks.

[0305] The terminal serves as an interface for each user to actually view data and perform necessary operations. It receives notifications from the server via applications on smartphones or tablets. The user can view the assigned tasks on the terminal and send approval or change requests.

[0306] The user plays a role in managing the household schedule and facilitating communication through this system. Each user can use their own terminal to view their assigned tasks and schedules and make changes according to their own schedules.

[0307] As a specific example, the server may obtain weather data and, based on the results, change household chores scheduled outdoors to indoor tasks. Also, if it is predicted that the father will be late at work, the tasks will be redistributed to other members on that day.

[0308] An example of a prompt sentence is "Please explain an AI system that optimizes the household member schedule and assigns optimal household chore tasks to each member."

[0309] In this way, this system improves the tasks of each member within the household and realizes improvements in energy efficiency and promotion of communication.

[0310] The flow of specific processing in Example 1 will be described using FIG. 11.

[0311] Step 1:

[0312] The server obtains the schedule information of each user via the API of the digital calendar. The input data is the individual schedule for each user. Based on this, the server creates an integrated database in a format without overlapping schedules. The output is the coordinated schedule data of all household members. Specific operations include the process of calling the API from each calendar service and obtaining the schedule in JSON format.

[0313] Step 2:

[0314] The server optimizes household tasks using integrated scheduling data. It also utilizes user skill data and past task history as input. A generative AI model is used to assign the most suitable household tasks to each family member. The output is an optimized household chore distribution chart. Specifically, the AI ​​algorithm distributes tasks to each member, creating a distribution chart that takes into account skills and available time.

[0315] Step 3:

[0316] The server notifies each user's device of an optimized household chore schedule. The input is the chore schedule, and the output is a task notification sent to each member. The device is responsible for providing this information to each member of the household, and users who view the displayed schedule can approve or request changes on their device. Specifically, this includes a mechanism to display pop-up messages to users through a notification app.

[0317] Step 4:

[0318] The server constantly monitors data from external sources, such as weather data services and traffic information services. Inputs are updates to this external data, and outputs are schedule adjustment notifications. Based on this information, the schedule is readjusted in real time. Specific operations include using APIs to retrieve data from external services and modifying household task schedules based on specified conditions.

[0319] Step 5:

[0320] The server monitors the status of smart home appliances in the home and operates them as needed. Inputs are data on the operating status of the appliances, and outputs are adjusted operating schedules for those appliances. This optimizes the operation of household equipment to improve energy efficiency. Specifically, this includes sending control signals to operate appliances while avoiding peak power consumption times.

[0321] Step 6:

[0322] The server facilitates information sharing among users within the system and enhances communication. Inputs include each user's progress and messages, while output is information shared among users. This process allows for the exchange of opinions through a chat system, promoting smooth cooperation within the household. Specifically, it provides the functionality for users to send and receive messages using their devices.

[0323] (Application Example 1)

[0324] 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."

[0325] In modern society, managing household schedules and optimizing energy efficiency are crucial challenges. In particular, efficient resource management and improved convenience for citizens are required, given the diverse lifestyles and changing schedules of each household. Furthermore, collaboration with public resources in smart cities is insufficient, resulting in inadequate and efficient transportation support. Solutions to these problems are needed to ensure citizens can live safely and comfortably.

[0326] 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.

[0327] In this invention, the server includes means for integrating schedule information, means for optimizing household activities based on the integrated schedule, means for adjusting the action plan in real time in response to changes in the schedule, means for monitoring and controlling electrical equipment to maximize resource efficiency, means for sharing information and facilitating communication among users, and means for supporting efficient travel in cooperation with public resources. This enables efficient management of schedules inside and outside the home and rational use of energy, and further improves the quality of life for citizens through coordination with public resources.

[0328] "Schedule information" refers to the collective data related to appointments and schedules used by the user and their household.

[0329] "Domestic activities" refers to a series of actions that take place within the home, including everyday tasks, events, and household chores.

[0330] An "action plan" is a time-series or prioritized plan of actions and tasks scheduled based on a specific goal.

[0331] "Electrical equipment" is a general term for devices and equipment installed in homes that operate using electricity.

[0332] "Resource efficiency" refers to a state or indicator that aims to achieve the greatest effect with the minimum amount of energy and other resources provided.

[0333] "Information sharing" refers to the exchange of information such as data and messages among multiple users.

[0334] "Promoting communication" means ensuring that information is exchanged smoothly and effectively.

[0335] "Public resources" refer to resources and facilities in the local community that are widely available to the general public, such as transportation, parks, and libraries.

[0336] "Efficient travel" refers to reaching your destination without wasting time or energy.

[0337] The system for carrying out this invention includes a program for the integrated management of home and public resources. A server retrieves appointment information through the API of the digital calendar service used by each user and integrates it into a central database. This database forms the basis for visualizing all appointments both inside and outside the home.

[0338] The server executes AI algorithms using Python libraries such as pandas and scikit-learn to optimize household activities based on integrated schedule data. It also acquires external data in real time (e.g., weather information and public transport status) and dynamically adjusts the activity plan using the Google Maps API, among others.

[0339] Smart meter APIs and in-home IoT devices are used to control electrical appliances. This allows for the development of optimal usage schedules for electrical appliances to maximize energy efficiency.

[0340] Users can access the system via smartphones or smart glasses to check and change their schedules. Furthermore, a communication platform is provided for users to share information with each other, supporting rapid decision-making and collaboration.

[0341] For example, if a sudden weather change occurs, the server will use that information to readjust the schedule and shift outdoor activities to indoor tasks. An example of a prompt for the generated AI model is, "Explain how coordinating household tasks with smart city public resources can make citizens' lives more efficient."

[0342] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0343] Step 1:

[0344] The server automatically retrieves each user's schedule information using the API of a digital calendar service. The input is each user's calendar authentication information, and the output is the retrieved schedule data. The server integrates this data and stores it in a central database. This allows for unified management of all appointments, both inside and outside the home.

[0345] Step 2:

[0346] The server executes an AI algorithm based on an integrated schedule database. The input is the schedule information from the integrated database, and the output is an optimized household activity plan. Data processing is performed using libraries such as Python's pandas and scikit-learn to calculate the optimal activity schedule that takes into account each user's free time and skill set.

[0347] Step 3:

[0348] The server collects real-time data using external weather and traffic information APIs. The input is data from external information APIs, and the output is an updated action plan. The action plan is dynamically adjusted based on external factors, and any changes that may affect users are implemented in a timely manner.

[0349] Step 4:

[0350] The server monitors the usage data of electrical appliances in the home and obtains power consumption information from the smart meter API. The input is the user's electrical appliance usage, and the output is an optimized power usage plan. Based on this, the server formulates the optimal electrical appliance usage schedule to maximize resource efficiency.

[0351] Step 5:

[0352] The device notifies the user of changed schedules and the latest household activity plans. Input is schedule change information from the server, and output is notifications to the user. The user can use the device to check appointments, request changes, and send feedback to the server.

[0353] Step 6:

[0354] Users share information about schedules and tasks with other family members using the provided communication platform. Input is the user's message data, and output is the transmission of information to other members. This facilitates smoother decision-making and promotes communication within the family.

[0355] 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.

[0356] This invention provides a highly automated system for managing schedules and assigning household chores, and includes a function to adjust tasks while taking into account the user's emotional information. The following describes how this system is implemented.

[0357] Data collection and integration

[0358] The server retrieves and integrates schedule information from each user's registered digital calendar. It also collects emotional information from each user's device through emotion-related data (e.g., smartphone camera, voice assistant, wearable devices). Based on this information, the server understands the user's current emotional state.

[0359] Optimizing household chore schedules and managing emotions

[0360] The server analyzes integrated schedule data and emotional information from the emotion engine to assign household tasks that best suit the user's free time and emotional state. The emotion engine makes adjustments, such as assigning easier tasks to users who are stressed or reducing tasks if they need to refresh themselves.

[0361] Notification and approval

[0362] The device notifies each user of their assigned tasks and schedules. Users receive this information via push notifications or email. Users can review their schedules and, if necessary, approve or request changes.

[0363] Real-time adjustments and emotional feedback

[0364] The server constantly monitors external information (weather, traffic conditions, etc.) and the user's emotional state, and adjusts the schedule accordingly. The emotion engine detects changes in the user's emotions and redistributes or modifies tasks in real time as needed.

[0365] Optimization of home appliance control

[0366] The server can control the operation of home appliances based on emotional information and make settings to create a relaxing atmosphere (such as changing the color tone of the lighting and playing music). It can also adjust operating times to take energy efficiency into consideration.

[0367] Facilitating communication and sharing emotions

[0368] The device visualizes schedules and task progress and supports information sharing among users. Emotional states detected by the emotion engine may be notified to other family members, and a messaging function is provided to activate communication based on this information.

[0369] Specific example

[0370] If a user experiences high levels of stress at work one day, the emotion engine recognizes this emotion, and the server changes complex household chores that were scheduled to be assigned to that user into simpler tasks. Furthermore, the server controls home appliances to change the lighting to a softer tone and play relaxing music. In this way, the system enables flexible and considerate household management that responds to the user's emotions.

[0371] The following describes the processing flow.

[0372] Step 1:

[0373] The server accesses each user's digital calendar service and retrieves appointment information via an API. This information is integrated into a shared database used within the household and updated in real time.

[0374] Step 2:

[0375] The server analyzes biometric data acquired from the user's voice, video, and wearable devices, and uses an emotion engine to identify the user's current emotional state. For example, it assesses stress levels from changes in voice patterns and heart rate.

[0376] Step 3:

[0377] Based on integrated schedule information and emotional data, the server calculates and assigns the most suitable household tasks to each user according to their free time and emotional state. For users experiencing stress, adjustments are made to reduce the burden of tasks.

[0378] Step 4:

[0379] The device notifies each user of their assigned household chore schedule. Users can choose to receive notifications via push notifications or email, and they can then review the notifications and approve or request changes to their schedule.

[0380] Step 5:

[0381] The server receives the change request from the user and automatically readjusts the schedule. The readjusted schedule is then notified to each user's terminal again.

[0382] Step 6:

[0383] The server retrieves weather information and local event data from external data providers and updates schedules in real time if they are affected. It also immediately readjusts schedules if changes in emotions are detected.

[0384] Step 7:

[0385] The server monitors the operating status of various household appliances and controls their operation based on emotional information. For example, it might adjust the intensity and color of lighting to create a relaxing environment, or play preferred music.

[0386] Step 8:

[0387] The device shares information about schedules and emotional states on a communication platform, keeping other family members informed of the situation in real time. Users can use this platform to leave comments and send messages.

[0388] Step 9:

[0389] Users receive emotional changes and daily feedback while checking new schedules and household tasks through their devices. This enables task management optimized for their emotional state.

[0390] (Example 2)

[0391] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0392] In modern families, there is a need for efficient household management that takes into account the schedules and emotional states of each member. Traditional systems have been unable to adequately integrate schedule information for each user, making it difficult to assign tasks and adjust schedules in real time while considering emotional states. Furthermore, environmental adjustments through the control of home appliances are limited, making energy efficiency optimization a challenge.

[0393] 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.

[0394] In this invention, the server includes means for acquiring schedule information and integrating data from multiple users, means for analyzing acquired emotion-related information and understanding the emotional state of each user, and means for optimizing household chores based on the integrated schedule information and the emotional state of the users. This enables efficient household chore management that takes into account the individual characteristics and emotional state of each user.

[0395] "Schedule information" refers to data about schedules and events registered by users.

[0396] "Emotion-related information" refers to data that indicates the user's feelings and emotional state, and includes information such as facial recognition, voice tone, and heart rate obtained from the device.

[0397] "Integration" refers to combining and processing schedule information and sentiment-related information from different users into a single dataset.

[0398] "Optimizing household chores" is the process of assigning and executing household tasks in the most efficient and effective way, based on the user's schedule and emotional state.

[0399] "Notification method" refers to the means of transmitting information to users, and includes push notifications and email.

[0400] "Controlling electronic devices" refers to managing the operation of home appliances based on instructions from a server, aiming to adjust the environment and improve energy efficiency.

[0401] "Real-time automatic adjustment" refers to the instant updating and adaptation of schedules and household tasks in response to external information and changes in the user's emotions.

[0402] "Information sharing among users" refers to the process of sharing data such as schedules and emotional states accumulated within the system with other users, thereby promoting more active communication.

[0403] This invention is a system in which a server, terminals, and users work together to streamline schedule management and household chore assignment within the home. The entire system is appropriately adjusted based on planning information, including the user's emotional state.

[0404] The server retrieves schedule information from each user's digital calendar application using APIs and stores it in a database. Emotion-related information is collected from the user's smartphone, voice recognition device, and wearable device equipped with a heart rate sensor. This data is integrated and analyzed using Python libraries (Pandas, NumPy). The emotion engine uses machine learning models to evaluate emotional states and calculate appropriate indicators.

[0405] The server optimizes household tasks based on integrated information, assigning tasks according to the user's free time and emotional state. Tasks and schedules are notified to the user via push notifications and email, and the user can check and request changes via their device.

[0406] The server monitors external information (e.g., weather and traffic conditions) and changes in the user's emotional state in real time, and automatically adjusts the schedule as needed via a streaming platform such as Apache Kafka. Furthermore, it controls electronic devices in the home (lighting, music player, etc.) according to the emotional state to provide a comfortable environment.

[0407] As an example, when a user is experiencing high levels of stress in the workplace, the emotion engine recognizes this state, and the server changes complex household tasks into simpler ones. Instructions are sent to electronic devices to change the house lighting to warmer colors and play calming music, thereby creating a relaxing environment for the user.

[0408] An example of a prompt to input into the generating AI model is: "Please explain the mechanism of the schedule adjustment system based on user emotion data. In particular, please give specific examples of how to handle situations when the user is under high stress."

[0409] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0410] Step 1:

[0411] The server collects schedule information through the API of the digital calendar application that each user connects to. The input is the schedule data set by each individual user. This data is retrieved in JSON format and stored in a database on the server. Specifically, the server uses each user's account information to make API calls and retrieve event and task information.

[0412] Step 2:

[0413] The server collects emotion-related information from the user's smartphone or wearable device. Inputs include emotional indicators such as facial recognition, voice tone, and heart rate. This data is collected as numerical data representing the user's mood and stored in a database. Specifically, the server monitors data streams from sensors and cameras, acquiring necessary information in real time.

[0414] Step 3:

[0415] The server integrates the collected schedule information and sentiment data and performs data analysis. The input is the dataset obtained in Step 1 and Step 2. This data is processed using Python's Pandas and NumPy to calculate each user's free time and sentiment state. It also uses a sentiment engine to evaluate sentiment state and calculate stress levels and happiness levels. The output is a schedule and sentiment state profile associated with each user.

[0416] Step 4:

[0417] The server optimizes household chores based on the analysis results. The input is the profile created in step 3. Using an AI algorithm, it automatically assigns household tasks that are suitable for the user's free time and emotional state. Specifically, it schedules each task appropriately according to its difficulty and execution time. The output is a task list and schedule optimized for each individual user.

[0418] Step 5:

[0419] The terminal notifies each user of tasks and schedules based on instructions from the server. The input is the task list created in step 4. Notifications are sent via push notifications or email, prompting users to check their schedules. Specifically, the terminal sends a notification, allowing the user to send a confirmation or modification request. The output is the user's response to confirm or modify the schedule.

[0420] Step 6:

[0421] The server monitors external information and changes in user sentiment in real time and adjusts the schedule as needed. Inputs include weather, traffic conditions, and changes in user sentiment. Streaming data processing using Apache Kafka is used to reflect these changes immediately. Outputs are the adjusted schedule and task assignments.

[0422] Step 7:

[0423] The server controls electronic devices in the home and adjusts the environment according to the user's emotional state. The input is the emotional state obtained in step 6 and real-time user information. The electronic devices control lighting settings and music playback, automatically creating a relaxing environment. The output is the optimized home environment.

[0424] (Application Example 2)

[0425] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0426] In modern living environments, managing household schedules and assigning tasks is complex. This complexity is further amplified by the interplay of each family member's schedule, individual characteristics, and emotional state. Current systems struggle to smoothly adjust these factors, and such adjustments require significant time and effort. There is a need for effective support to resolve this situation and improve users' quality of life.

[0427] 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.

[0428] In this invention, the server includes means for integrating schedule information, means for collecting emotional information and adjusting work tasks based on that information, and means for notifying mobile communication terminals and providing suggestions. This makes it possible to highly optimize and adjust household schedule management and work task assignments while taking into account each user's emotional state and individual characteristics.

[0429] "Schedule information" refers to data related to time planning that individual users use to manage their daily lives, and this includes details of events and appointments.

[0430] "Integration" refers to the process of combining information collected from multiple data sources into a single, unified structure.

[0431] A "task" refers to a unit of action or activity that should be performed in the home or other environment to achieve a specific purpose.

[0432] "Optimization techniques" are methods for adjusting a process to achieve a result efficiently and effectively under given conditions.

[0433] "Real-time" refers to the concept of time in which processing or reactions occur immediately the moment data is generated or changed.

[0434] A "time plan" is a plan or schedule for efficiently carrying out goals or activities that need to be achieved within a specific period of time.

[0435] A "control device" is a device used to manage, monitor, and adjust the operation of equipment or systems that have a specific function.

[0436] "Resource efficiency" is an indicator that represents the degree of effectiveness in relation to the amount of resources consumed in achieving a specific goal.

[0437] "User" refers to an individual or group that uses a system or service.

[0438] "Information sharing" refers to the act of disclosing or providing specific information in a way that allows multiple users to access it.

[0439] "Means of promoting interaction" refers to methods and processes for stimulating communication and interaction among users.

[0440] "Emotional information" refers to data about a user's mood and psychological state at a specific point in time.

[0441] "Means of adjustment" refers to measures taken to modify or optimize a process or system in accordance with specific conditions or objectives.

[0442] A "mobile communication terminal" is a device that provides communication functions in a portable form, and generally includes smartphones and tablets.

[0443] "Means of providing notifications and suggestions" refers to functions that send information to users and recommend specific actions based on that information.

[0444] In this invention, a server acts as the central hub for efficiently optimizing home schedule management and task assignment. The server first integrates schedule information collected from each user's mobile communication terminal. This integration utilizes devices such as smartphones and tablets. The schedule information is managed in the cloud and efficiently synchronized from various data sources.

[0445] The server also collects emotional information from the user's device. This involves using an AI model that leverages the smartphone's camera and microphone to accurately analyze the user's emotional state from their facial expressions and voice. The software used includes machine learning libraries such as TensorFlow and PyTorch. Furthermore, an emotion engine processes this data in real time to understand the user's emotional state.

[0446] Based on emotional and scheduled information, the server optimizes work tasks. Specifically, if the emotional engine detects stress, it suggests relaxing tasks to the user. This includes functions such as playing music through noise-canceling earphones and adjusting lighting. It also improves the user's quality of life by sending notifications to mobile communication terminals and suggesting schedules as needed.

[0447] For example, when a user is experiencing high stress, the server can sense their emotions and adjust the system to create a quiet environment. Another example of a prompt is, "If the user is tired, suggest relaxing activities," which the AI ​​model then uses to provide appropriate suggestions.

[0448] Because these processes are managed entirely through cloud services, it is possible to provide a seamless user experience while coordinating with multiple devices.

[0449] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0450] Step 1:

[0451] The server retrieves schedule information from each user's mobile communication terminal. The input is data from the user's calendar application. The server sends this data to the cloud and stores it in an integrated database. The output is integrated schedule information.

[0452] Step 2:

[0453] The server acquires audio and facial expression data through the device's camera and microphone to collect user emotion information. The inputs include real-time captured audio and image data. The emotion engine uses a machine learning model (e.g., TensorFlow) to analyze the user's current emotional state from this input data and generates emotion information as output.

[0454] Step 3:

[0455] The server optimizes work tasks based on integrated schedule and sentiment information. The inputs are schedule and sentiment information. These are analyzed in combination to schedule tasks optimally according to the user's situation. The output is the adjusted schedule.

[0456] Step 4:

[0457] The server notifies the user's device of the adjusted schedule. The input is optimized task and schedule information. The device receives this information and generates a push notification to display to the user. The output is the schedule notification on the user's device.

[0458] Step 5:

[0459] The user reviews the schedule and tasks displayed on the device and chooses whether to accept them. The input is the schedule information displayed on the device. Based on the user's actions, schedule adjustments are requested as needed. The output is the user's feedback.

[0460] Step 6:

[0461] The server readjusts the schedule in real time based on user feedback and external information (e.g., weather information). Inputs are user feedback and external information. Based on this information, tasks are reassigned again to provide the best possible suggestions for the user. Output is the updated schedule.

[0462] Step 7:

[0463] The server adjusts the control device settings based on the user's emotional information. The input is emotional information, which is used to adjust lighting and music to promote relaxation. The output is the adjusted environment settings.

[0464] 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.

[0465] 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.

[0466] 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.

[0467] [Third Embodiment]

[0468] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0469] 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.

[0470] 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).

[0471] 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.

[0472] 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.

[0473] 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).

[0474] 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.

[0475] 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.

[0476] 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.

[0477] 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.

[0478] 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.

[0479] 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".

[0480] This invention is implemented as a system that automates scheduling and household chore management within the home. The operation of the programs constituting this system is described below in natural language.

[0481] Data collection and integration

[0482] The server retrieves schedule information through the APIs of the digital calendar services used by each user. It similarly collects the schedules of other household members and integrates them into a single database. This integrated database serves as the foundation for visualizing the entire household's schedule.

[0483] Optimizing household chore schedules

[0484] The server calculates the free time of all family members from the integrated data. Based on this information, an AI algorithm calculates the optimal division of household chores. The division takes into account the skills and habits of each member.

[0485] Notification and approval

[0486] The terminal notifies each member of the calculated household chore schedule. Users who receive the notification can check the schedule on their terminal and approve or request changes as needed. If a change is requested, the server receives it and readjusts the schedule.

[0487] Real-time adjustment

[0488] The server constantly monitors external data (e.g., weather and traffic information) to obtain information that may affect household schedules. Based on this information, it updates schedules in real time as needed. In this process, new or changed tasks are automatically reassigned.

[0489] Home appliance control

[0490] The server monitors the status of smart home appliances in the home. For example, it can check the usage of appliances such as air conditioners and washing machines and adjust their operating times to maximize energy efficiency. This adjustment is performed by a pre-configured optimization algorithm.

[0491] Promoting communication

[0492] The server provides a communication platform for users to share schedules and household chore progress. Users can access this platform via their devices and exchange information with all family members. This facilitates smooth information sharing within the household and revitalizes communication.

[0493] Specific example

[0494] If a family anticipates that the father will often be late from work on certain days, the server will proactively avoid those days, reduce the amount of housework assigned to the father, and reallocate it to other family members. If children's events are canceled due to sudden weather changes, the server will quickly reflect this information and add other tasks to the newly freed-up time during the day. In this way, the system flexibly responds to household activities and enables efficient management of household chores.

[0495] The following describes the processing flow.

[0496] Step 1:

[0497] The server retrieves detailed schedule information from all household members' digital calendar services via API. During this process, it collects date, event, and alarm settings, and stores them in an integrated database.

[0498] Step 2:

[0499] The server analyzes the schedules of all members and performs an analysis process to determine each member's free time. Based on the analysis results, it applies an AI algorithm to generate a schedule that optimally distributes household tasks.

[0500] Step 3:

[0501] The device receives the generated household chore schedule and notifies each household member via push notification or email. The recipient user then uses the device to review the schedule and send approval or modification requests as needed.

[0502] Step 4:

[0503] The server receives the change request from the user and re-optimizes the schedule. It then re-notifies each member's terminal of the new, revised schedule.

[0504] Step 5:

[0505] The server retrieves weather forecasts and local event information from external data providers in real time, collecting information that may affect the schedule. If schedule changes are required in real time, the server automatically reconfigures the schedule based on this information.

[0506] Step 6:

[0507] The server monitors the status of home appliances and calculates the optimal operating schedule for each device. By controlling appliances as needed, it minimizes energy consumption. For example, it sets the operating times of washing machines and dishwashers to coincide with periods when power is stable.

[0508] Step 7:

[0509] The device notifies each user of schedule changes and progress via a communication platform. It also provides an interface for sending messages and comments, enabling users to collaborate with each other.

[0510] Step 8:

[0511] Users access the communication platform using their devices to share progress and exchange opinions within the family. This facilitates smoother consensus-building among family members.

[0512] (Example 1)

[0513] 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."

[0514] In modern households, individual schedules are diverse, and unexpected changes to plans occur frequently, making efficient household management difficult. In particular, the division of household chores, optimization of energy use, and information sharing within the family often place a heavy burden on individuals, and adequate scheduling is frequently lacking. Therefore, there is a need to streamline task management within the household, improve energy efficiency, and promote smooth communication.

[0515] 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.

[0516] In this invention, the server includes means for acquiring and integrating schedule information, means for optimizing work tasks based on the integrated data, means for monitoring external information and adjusting schedules in real time, means for monitoring household devices and optimizing energy efficiency, and means for sharing information and facilitating interaction among users. This enables efficient schedule management within the home, efficient distribution of household chores, and flexible responses to sudden schedule changes.

[0517] "Schedule information" refers to data such as time, location, and participants obtained from schedule management services that users use on a daily basis.

[0518] "Integration" refers to the process of organizing and combining information collected from multiple data sources into a single, consistent database.

[0519] "Labor tasks" refer to the daily duties and responsibilities that each member of the household should perform, including household chores such as cooking and cleaning.

[0520] "Optimization" refers to the process of adjusting conditions to extract maximum efficiency using limited resources.

[0521] "External information" refers to data obtained from outside the home, such as weather and traffic, that may affect system processing.

[0522] "Household devices" refer to electrical appliances and equipment used in the home, and primarily include those that can be linked with smart devices.

[0523] "Energy efficiency" is an indicator that evaluates whether the energy used is utilized without waste, and is particularly aimed at managing electricity consumption in households.

[0524] "Users" refers to each household member who uses the system on a daily basis, and includes individuals who have roles or tasks within the system.

[0525] "Promoting interaction" refers to creating an environment that facilitates communication and smooth information sharing.

[0526] This invention is embodied as a system for streamlining schedule management and household chore distribution within the home. Its main components include a server, terminals, and users.

[0527] The server functions as the core of this system. It retrieves schedule information through the APIs of the digital calendar services used by each user, such as the Google Calendar API and the Outlook API. This data is organized into a single integrated database. Based on this data, the server calculates the optimal allocation of household tasks for each member of the household. A generative AI model is used for this calculation. The AI ​​algorithm takes into account the user's past task history and individual characteristics to propose the most efficient way to divide tasks.

[0528] The terminal serves as the interface for each user to actually view data and perform necessary operations. Notifications from the server are received via smartphone or tablet applications. Users can view their assigned tasks on the terminal and submit approval or modification requests.

[0529] Users will play a role in managing household schedules and facilitating communication through this system. Each user can use their own device to check their assigned tasks and schedules and make changes to suit their own plans.

[0530] For example, a server might retrieve weather data and, based on the results, change household chores scheduled for outdoors into indoor tasks. Also, if the father is expected to be late from work, tasks might be redistributed to other members on that day.

[0531] An example of a prompt would be: "Describe an AI system that optimizes household member schedules and assigns the most suitable household tasks to each member."

[0532] In this way, this system streamlines the tasks of each member within the household, improving energy efficiency and promoting communication.

[0533] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0534] Step 1:

[0535] The server retrieves each user's schedule information via the digital calendar API. The input data consists of individual appointments for each user. Based on this, the server creates a unified database in a format that avoids duplicate appointments. The output is consistent schedule data for all members of the household. Specifically, the process involves calling APIs from each calendar service and retrieving appointments in JSON format.

[0536] Step 2:

[0537] The server optimizes household tasks using integrated scheduling data. It also utilizes user skill data and past task history as input. A generative AI model is used to assign the most suitable household tasks to each family member. The output is an optimized household chore distribution chart. Specifically, the AI ​​algorithm distributes tasks to each member, creating a distribution chart that takes into account skills and available time.

[0538] Step 3:

[0539] The server notifies each user's device of an optimized household chore schedule. The input is the chore schedule, and the output is a task notification sent to each member. The device is responsible for providing this information to each member of the household, and users who view the displayed schedule can approve or request changes on their device. Specifically, this includes a mechanism to display pop-up messages to users through a notification app.

[0540] Step 4:

[0541] The server constantly monitors data from external sources, such as weather data services and traffic information services. Inputs are updates to this external data, and outputs are schedule adjustment notifications. Based on this information, the schedule is readjusted in real time. Specific operations include using APIs to retrieve data from external services and modifying household task schedules based on specified conditions.

[0542] Step 5:

[0543] The server monitors the status of smart home appliances in the home and operates them as needed. Inputs are data on the operating status of the appliances, and outputs are adjusted operating schedules for those appliances. This optimizes the operation of household equipment to improve energy efficiency. Specifically, this includes sending control signals to operate appliances while avoiding peak power consumption times.

[0544] Step 6:

[0545] The server facilitates information sharing among users within the system and enhances communication. Inputs include each user's progress and messages, while output is information shared among users. This process allows for the exchange of opinions through a chat system, promoting smooth cooperation within the household. Specifically, it provides the functionality for users to send and receive messages using their devices.

[0546] (Application Example 1)

[0547] 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."

[0548] In modern society, managing household schedules and optimizing energy efficiency are crucial challenges. In particular, efficient resource management and improved convenience for citizens are required, given the diverse lifestyles and changing schedules of each household. Furthermore, collaboration with public resources in smart cities is insufficient, resulting in inadequate and efficient transportation support. Solutions to these problems are needed to ensure citizens can live safely and comfortably.

[0549] 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.

[0550] In this invention, the server includes means for integrating schedule information, means for optimizing household activities based on the integrated schedule, means for adjusting the action plan in real time in response to changes in the schedule, means for monitoring and controlling electrical equipment to maximize resource efficiency, means for sharing information and facilitating communication among users, and means for supporting efficient travel in cooperation with public resources. This enables efficient management of schedules inside and outside the home and rational use of energy, and further improves the quality of life for citizens through coordination with public resources.

[0551] "Schedule information" refers to the collective data related to appointments and schedules used by the user and their household.

[0552] "Domestic activities" refers to a series of actions that take place within the home, including everyday tasks, events, and household chores.

[0553] An "action plan" is a time-series or prioritized plan of actions and tasks scheduled based on a specific goal.

[0554] "Electrical equipment" is a general term for devices and equipment installed in homes that operate using electricity.

[0555] "Resource efficiency" refers to a state or indicator that aims to achieve the greatest effect with the minimum amount of energy and other resources provided.

[0556] "Information sharing" refers to the exchange of information such as data and messages among multiple users.

[0557] "Promoting communication" means ensuring that information is exchanged smoothly and effectively.

[0558] "Public resources" refer to resources and facilities in the local community that are widely available to the general public, such as transportation, parks, and libraries.

[0559] "Efficient travel" refers to reaching your destination without wasting time or energy.

[0560] The system for carrying out this invention includes a program for the integrated management of home and public resources. A server retrieves appointment information through the API of the digital calendar service used by each user and integrates it into a central database. This database forms the basis for visualizing all appointments both inside and outside the home.

[0561] The server executes AI algorithms using Python libraries such as pandas and scikit-learn to optimize household activities based on integrated schedule data. It also acquires external data in real time (e.g., weather information and public transport status) and dynamically adjusts the activity plan using the Google Maps API, among others.

[0562] Smart meter APIs and in-home IoT devices are used to control electrical appliances. This allows for the development of optimal usage schedules for electrical appliances to maximize energy efficiency.

[0563] Users can access the system via smartphones or smart glasses to check and change their schedules. Furthermore, a communication platform is provided for users to share information with each other, supporting rapid decision-making and collaboration.

[0564] For example, if a sudden weather change occurs, the server will use that information to readjust the schedule and shift outdoor activities to indoor tasks. An example of a prompt for the generated AI model is, "Explain how coordinating household tasks with smart city public resources can make citizens' lives more efficient."

[0565] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0566] Step 1:

[0567] The server automatically retrieves each user's schedule information using the API of a digital calendar service. The input is each user's calendar authentication information, and the output is the retrieved schedule data. The server integrates this data and stores it in a central database. This allows for unified management of all appointments, both inside and outside the home.

[0568] Step 2:

[0569] The server executes an AI algorithm based on an integrated schedule database. The input is the schedule information from the integrated database, and the output is an optimized household activity plan. Data processing is performed using libraries such as Python's pandas and scikit-learn to calculate the optimal activity schedule that takes into account each user's free time and skill set.

[0570] Step 3:

[0571] The server collects real-time data using external weather and traffic information APIs. The input is data from external information APIs, and the output is an updated action plan. The action plan is dynamically adjusted based on external factors, and any changes that may affect users are implemented in a timely manner.

[0572] Step 4:

[0573] The server monitors the usage data of electrical appliances in the home and obtains power consumption information from the smart meter API. The input is the user's electrical appliance usage, and the output is an optimized power usage plan. Based on this, the server formulates the optimal electrical appliance usage schedule to maximize resource efficiency.

[0574] Step 5:

[0575] The device notifies the user of changed schedules and the latest household activity plans. Input is schedule change information from the server, and output is notifications to the user. The user can use the device to check appointments, request changes, and send feedback to the server.

[0576] Step 6:

[0577] Users share information about schedules and tasks with other family members using the provided communication platform. Input is the user's message data, and output is the transmission of information to other members. This facilitates smoother decision-making and promotes communication within the family.

[0578] 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.

[0579] This invention provides a highly automated system for managing schedules and assigning household chores, and includes a function to adjust tasks while taking into account the user's emotional information. The following describes how this system is implemented.

[0580] Data collection and integration

[0581] The server retrieves and integrates schedule information from each user's registered digital calendar. It also collects emotional information from each user's device through emotion-related data (e.g., smartphone camera, voice assistant, wearable devices). Based on this information, the server understands the user's current emotional state.

[0582] Optimizing household chore schedules and managing emotions

[0583] The server analyzes integrated schedule data and emotional information from the emotion engine to assign household tasks that best suit the user's free time and emotional state. The emotion engine makes adjustments, such as assigning easier tasks to users who are stressed or reducing tasks if they need to refresh themselves.

[0584] Notification and approval

[0585] The device notifies each user of their assigned tasks and schedules. Users receive this information via push notifications or email. Users can review their schedules and, if necessary, approve or request changes.

[0586] Real-time adjustments and emotional feedback

[0587] The server constantly monitors external information (weather, traffic conditions, etc.) and the user's emotional state, and adjusts the schedule accordingly. The emotion engine detects changes in the user's emotions and redistributes or modifies tasks in real time as needed.

[0588] Optimization of home appliance control

[0589] The server can control the operation of home appliances based on emotional information and make settings to create a relaxing atmosphere (such as changing the color tone of the lighting and playing music). It can also adjust operating times to take energy efficiency into consideration.

[0590] Facilitating communication and sharing emotions

[0591] The device visualizes schedules and task progress and supports information sharing among users. Emotional states detected by the emotion engine may be notified to other family members, and a messaging function is provided to activate communication based on this information.

[0592] Specific example

[0593] If a user experiences high levels of stress at work one day, the emotion engine recognizes this emotion, and the server changes complex household chores that were scheduled to be assigned to that user into simpler tasks. Furthermore, the server controls home appliances to change the lighting to a softer tone and play relaxing music. In this way, the system enables flexible and considerate household management that responds to the user's emotions.

[0594] The following describes the processing flow.

[0595] Step 1:

[0596] The server accesses each user's digital calendar service and retrieves appointment information via an API. This information is integrated into a shared database used within the household and updated in real time.

[0597] Step 2:

[0598] The server analyzes biometric data acquired from the user's voice, video, and wearable devices, and uses an emotion engine to identify the user's current emotional state. For example, it assesses stress levels from changes in voice patterns and heart rate.

[0599] Step 3:

[0600] Based on integrated schedule information and emotional data, the server calculates and assigns the most suitable household tasks to each user according to their free time and emotional state. For users experiencing stress, adjustments are made to reduce the burden of tasks.

[0601] Step 4:

[0602] The device notifies each user of their assigned household chore schedule. Users can choose to receive notifications via push notifications or email, and they can then review the notifications and approve or request changes to their schedule.

[0603] Step 5:

[0604] The server receives the change request from the user and automatically readjusts the schedule. The readjusted schedule is then notified to each user's terminal again.

[0605] Step 6:

[0606] The server retrieves weather information and local event data from external data providers and updates schedules in real time if they are affected. It also immediately readjusts schedules if changes in emotions are detected.

[0607] Step 7:

[0608] The server monitors the operating status of various household appliances and controls their operation based on emotional information. For example, it might adjust the intensity and color of lighting to create a relaxing environment, or play preferred music.

[0609] Step 8:

[0610] The device shares information about schedules and emotional states on a communication platform, keeping other family members informed of the situation in real time. Users can use this platform to leave comments and send messages.

[0611] Step 9:

[0612] Users receive emotional changes and daily feedback while checking new schedules and household tasks through their devices. This enables task management optimized for their emotional state.

[0613] (Example 2)

[0614] 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."

[0615] In modern families, there is a need for efficient household management that takes into account the schedules and emotional states of each member. Traditional systems have been unable to adequately integrate schedule information for each user, making it difficult to assign tasks and adjust schedules in real time while considering emotional states. Furthermore, environmental adjustments through the control of home appliances are limited, making energy efficiency optimization a challenge.

[0616] 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.

[0617] In this invention, the server includes means for acquiring schedule information and integrating data from multiple users, means for analyzing acquired emotion-related information and understanding the emotional state of each user, and means for optimizing household chores based on the integrated schedule information and the emotional state of the users. This enables efficient household chore management that takes into account the individual characteristics and emotional state of each user.

[0618] "Schedule information" refers to data about schedules and events registered by users.

[0619] "Emotion-related information" refers to data that indicates the user's feelings and emotional state, and includes information such as facial recognition, voice tone, and heart rate obtained from the device.

[0620] "Integration" refers to combining and processing schedule information and sentiment-related information from different users into a single dataset.

[0621] "Optimizing household chores" is the process of assigning and executing household tasks in the most efficient and effective way, based on the user's schedule and emotional state.

[0622] "Notification method" refers to the means of transmitting information to users, and includes push notifications and email.

[0623] "Controlling electronic devices" refers to managing the operation of home appliances based on instructions from a server, aiming to adjust the environment and improve energy efficiency.

[0624] "Real-time automatic adjustment" refers to the instant updating and adaptation of schedules and household tasks in response to external information and changes in the user's emotions.

[0625] "Information sharing among users" refers to the process of sharing data such as schedules and emotional states accumulated within the system with other users, thereby promoting more active communication.

[0626] This invention is a system in which a server, terminals, and users work together to streamline schedule management and household chore assignment within the home. The entire system is appropriately adjusted based on planning information, including the user's emotional state.

[0627] The server retrieves schedule information from each user's digital calendar application using APIs and stores it in a database. Emotion-related information is collected from the user's smartphone, voice recognition device, and wearable device equipped with a heart rate sensor. This data is integrated and analyzed using Python libraries (Pandas, NumPy). The emotion engine uses machine learning models to evaluate emotional states and calculate appropriate indicators.

[0628] The server optimizes household tasks based on integrated information, assigning tasks according to the user's free time and emotional state. Tasks and schedules are notified to the user via push notifications and email, and the user can check and request changes via their device.

[0629] The server monitors external information (e.g., weather and traffic conditions) and changes in the user's emotional state in real time, and automatically adjusts the schedule as needed via a streaming platform such as Apache Kafka. Furthermore, it controls electronic devices in the home (lighting, music player, etc.) according to the emotional state to provide a comfortable environment.

[0630] As an example, when a user is experiencing high levels of stress in the workplace, the emotion engine recognizes this state, and the server changes complex household tasks into simpler ones. Instructions are sent to electronic devices to change the house lighting to warmer colors and play calming music, thereby creating a relaxing environment for the user.

[0631] An example of a prompt to input into the generating AI model is: "Please explain the mechanism of the schedule adjustment system based on user emotion data. In particular, please give specific examples of how to handle situations when the user is under high stress."

[0632] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0633] Step 1:

[0634] The server collects schedule information through the API of the digital calendar application that each user connects to. The input is the schedule data set by each individual user. This data is retrieved in JSON format and stored in a database on the server. Specifically, the server uses each user's account information to make API calls and retrieve event and task information.

[0635] Step 2:

[0636] The server collects emotion-related information from the user's smartphone or wearable device. Inputs include emotional indicators such as facial recognition, voice tone, and heart rate. This data is collected as numerical data representing the user's mood and stored in a database. Specifically, the server monitors data streams from sensors and cameras, acquiring necessary information in real time.

[0637] Step 3:

[0638] The server integrates the collected schedule information and sentiment data and performs data analysis. The input is the dataset obtained in Step 1 and Step 2. This data is processed using Python's Pandas and NumPy to calculate each user's free time and sentiment state. It also uses a sentiment engine to evaluate sentiment state and calculate stress levels and happiness levels. The output is a schedule and sentiment state profile associated with each user.

[0639] Step 4:

[0640] The server optimizes household chores based on the analysis results. The input is the profile created in step 3. Using an AI algorithm, it automatically assigns household tasks that are suitable for the user's free time and emotional state. Specifically, it schedules each task appropriately according to its difficulty and execution time. The output is a task list and schedule optimized for each individual user.

[0641] Step 5:

[0642] The terminal notifies each user of tasks and schedules based on instructions from the server. The input is the task list created in step 4. Notifications are sent via push notifications or email, prompting users to check their schedules. Specifically, the terminal sends a notification, allowing the user to send a confirmation or modification request. The output is the user's response to confirm or modify the schedule.

[0643] Step 6:

[0644] The server monitors external information and changes in user sentiment in real time and adjusts the schedule as needed. Inputs include weather, traffic conditions, and changes in user sentiment. Streaming data processing using Apache Kafka is used to reflect these changes immediately. Outputs are the adjusted schedule and task assignments.

[0645] Step 7:

[0646] The server controls electronic devices in the home and adjusts the environment according to the user's emotional state. The input is the emotional state obtained in step 6 and real-time user information. The electronic devices control lighting settings and music playback, automatically creating a relaxing environment. The output is the optimized home environment.

[0647] (Application Example 2)

[0648] 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."

[0649] In modern living environments, managing household schedules and assigning tasks is complex. This complexity is further amplified by the interplay of each family member's schedule, individual characteristics, and emotional state. Current systems struggle to smoothly adjust these factors, and such adjustments require significant time and effort. There is a need for effective support to resolve this situation and improve users' quality of life.

[0650] 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.

[0651] In this invention, the server includes means for integrating schedule information, means for collecting emotional information and adjusting work tasks based on that information, and means for notifying mobile communication terminals and providing suggestions. This makes it possible to highly optimize and adjust household schedule management and work task assignments while taking into account each user's emotional state and individual characteristics.

[0652] "Schedule information" refers to data related to time planning that individual users use to manage their daily lives, and this includes details of events and appointments.

[0653] "Integration" refers to the process of combining information collected from multiple data sources into a single, unified structure.

[0654] A "task" refers to a unit of action or activity that should be performed in the home or other environment to achieve a specific purpose.

[0655] "Optimization techniques" are methods for adjusting a process to achieve a result efficiently and effectively under given conditions.

[0656] "Real-time" refers to the concept of time in which processing or reactions occur immediately the moment data is generated or changed.

[0657] A "time plan" is a plan or schedule for efficiently carrying out goals or activities that need to be achieved within a specific period of time.

[0658] A "control device" is a device used to manage, monitor, and adjust the operation of equipment or systems that have a specific function.

[0659] "Resource efficiency" is an indicator that represents the degree of effectiveness in relation to the amount of resources consumed in achieving a specific goal.

[0660] "User" refers to an individual or group that uses a system or service.

[0661] "Information sharing" refers to the act of disclosing or providing specific information in a way that allows multiple users to access it.

[0662] "Means of promoting interaction" refers to methods and processes for stimulating communication and interaction among users.

[0663] "Emotional information" refers to data about a user's mood and psychological state at a specific point in time.

[0664] "Means of adjustment" refers to measures taken to modify or optimize a process or system in accordance with specific conditions or objectives.

[0665] A "mobile communication terminal" is a device that provides communication functions in a portable form, and generally includes smartphones and tablets.

[0666] "Means of providing notifications and suggestions" refers to functions that send information to users and recommend specific actions based on that information.

[0667] In this invention, a server acts as the central hub for efficiently optimizing home schedule management and task assignment. The server first integrates schedule information collected from each user's mobile communication terminal. This integration utilizes devices such as smartphones and tablets. The schedule information is managed in the cloud and efficiently synchronized from various data sources.

[0668] The server also collects emotional information from the user's device. This involves using an AI model that leverages the smartphone's camera and microphone to accurately analyze the user's emotional state from their facial expressions and voice. The software used includes machine learning libraries such as TensorFlow and PyTorch. Furthermore, an emotion engine processes this data in real time to understand the user's emotional state.

[0669] Based on emotional and scheduled information, the server optimizes work tasks. Specifically, if the emotional engine detects stress, it suggests relaxing tasks to the user. This includes functions such as playing music through noise-canceling earphones and adjusting lighting. It also improves the user's quality of life by sending notifications to mobile communication terminals and suggesting schedules as needed.

[0670] For example, when a user is experiencing high stress, the server can sense their emotions and adjust the system to create a quiet environment. Another example of a prompt is, "If the user is tired, suggest relaxing activities," which the AI ​​model then uses to provide appropriate suggestions.

[0671] Because these processes are managed entirely through cloud services, it is possible to provide a seamless user experience while coordinating with multiple devices.

[0672] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0673] Step 1:

[0674] The server retrieves schedule information from each user's mobile communication terminal. The input is data from the user's calendar application. The server sends this data to the cloud and stores it in an integrated database. The output is integrated schedule information.

[0675] Step 2:

[0676] The server acquires audio and facial expression data through the device's camera and microphone to collect user emotion information. The inputs include real-time captured audio and image data. The emotion engine uses a machine learning model (e.g., TensorFlow) to analyze the user's current emotional state from this input data and generates emotion information as output.

[0677] Step 3:

[0678] The server optimizes work tasks based on integrated schedule and sentiment information. The inputs are schedule and sentiment information. These are analyzed in combination to schedule tasks optimally according to the user's situation. The output is the adjusted schedule.

[0679] Step 4:

[0680] The server notifies the user's device of the adjusted schedule. The input is optimized task and schedule information. The device receives this information and generates a push notification to display to the user. The output is the schedule notification on the user's device.

[0681] Step 5:

[0682] The user reviews the schedule and tasks displayed on the device and chooses whether to accept them. The input is the schedule information displayed on the device. Based on the user's actions, schedule adjustments are requested as needed. The output is the user's feedback.

[0683] Step 6:

[0684] The server readjusts the schedule in real time based on user feedback and external information (e.g., weather information). Inputs are user feedback and external information. Based on this information, tasks are reassigned again to provide the best possible suggestions for the user. Output is the updated schedule.

[0685] Step 7:

[0686] The server adjusts the control device settings based on the user's emotional information. The input is emotional information, which is used to adjust lighting and music to promote relaxation. The output is the adjusted environment settings.

[0687] 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.

[0688] 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.

[0689] 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.

[0690] [Fourth Embodiment]

[0691] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0692] 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.

[0693] 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).

[0694] 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.

[0695] 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.

[0696] 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).

[0697] 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.

[0698] 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.

[0699] 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.

[0700] 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.

[0701] 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.

[0702] 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.

[0703] 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".

[0704] This invention is implemented as a system that automates scheduling and household chore management within the home. The operation of the programs constituting this system is described below in natural language.

[0705] Data collection and integration

[0706] The server retrieves schedule information through the APIs of the digital calendar services used by each user. It similarly collects the schedules of other household members and integrates them into a single database. This integrated database serves as the foundation for visualizing the entire household's schedule.

[0707] Optimizing household chore schedules

[0708] The server calculates the free time of all family members from the integrated data. Based on this information, an AI algorithm calculates the optimal division of household chores. The division takes into account the skills and habits of each member.

[0709] Notification and approval

[0710] The terminal notifies each member of the calculated household chore schedule. Users who receive the notification can check the schedule on their terminal and approve or request changes as needed. If a change is requested, the server receives it and readjusts the schedule.

[0711] Real-time adjustment

[0712] The server constantly monitors external data (e.g., weather and traffic information) to obtain information that may affect household schedules. Based on this information, it updates schedules in real time as needed. In this process, new or changed tasks are automatically reassigned.

[0713] Home appliance control

[0714] The server monitors the status of smart home appliances in the home. For example, it can check the usage of appliances such as air conditioners and washing machines and adjust their operating times to maximize energy efficiency. This adjustment is performed by a pre-configured optimization algorithm.

[0715] Promoting communication

[0716] The server provides a communication platform for users to share schedules and household chore progress. Users can access this platform via their devices and exchange information with all family members. This facilitates smooth information sharing within the household and revitalizes communication.

[0717] Specific example

[0718] If a family anticipates that the father will often be late from work on certain days, the server will proactively avoid those days, reduce the amount of housework assigned to the father, and reallocate it to other family members. If children's events are canceled due to sudden weather changes, the server will quickly reflect this information and add other tasks to the newly freed-up time during the day. In this way, the system flexibly responds to household activities and enables efficient management of household chores.

[0719] The following describes the processing flow.

[0720] Step 1:

[0721] The server retrieves detailed schedule information from all household members' digital calendar services via API. During this process, it collects date, event, and alarm settings, and stores them in an integrated database.

[0722] Step 2:

[0723] The server analyzes the schedules of all members and performs an analysis process to determine each member's free time. Based on the analysis results, it applies an AI algorithm to generate a schedule that optimally distributes household tasks.

[0724] Step 3:

[0725] The device receives the generated household chore schedule and notifies each household member via push notification or email. The recipient user then uses the device to review the schedule and send approval or modification requests as needed.

[0726] Step 4:

[0727] The server receives the change request from the user and re-optimizes the schedule. It then re-notifies each member's terminal of the new, revised schedule.

[0728] Step 5:

[0729] The server retrieves weather forecasts and local event information from external data providers in real time, collecting information that may affect the schedule. If schedule changes are required in real time, the server automatically reconfigures the schedule based on this information.

[0730] Step 6:

[0731] The server monitors the status of home appliances and calculates the optimal operating schedule for each device. By controlling appliances as needed, it minimizes energy consumption. For example, it sets the operating times of washing machines and dishwashers to coincide with periods when power is stable.

[0732] Step 7:

[0733] The device notifies each user of schedule changes and progress via a communication platform. It also provides an interface for sending messages and comments, enabling users to collaborate with each other.

[0734] Step 8:

[0735] Users access the communication platform using their devices to share progress and exchange opinions within the family. This facilitates smoother consensus-building among family members.

[0736] (Example 1)

[0737] 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".

[0738] In modern households, individual schedules are diverse, and unexpected changes to plans occur frequently, making efficient household management difficult. In particular, the division of household chores, optimization of energy use, and information sharing within the family often place a heavy burden on individuals, and adequate scheduling is frequently lacking. Therefore, there is a need to streamline task management within the household, improve energy efficiency, and promote smooth communication.

[0739] 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.

[0740] In this invention, the server includes means for acquiring and integrating schedule information, means for optimizing work tasks based on the integrated data, means for monitoring external information and adjusting schedules in real time, means for monitoring household devices and optimizing energy efficiency, and means for sharing information and facilitating interaction among users. This enables efficient schedule management within the home, efficient distribution of household chores, and flexible responses to sudden schedule changes.

[0741] "Schedule information" refers to data such as time, location, and participants obtained from schedule management services that users use on a daily basis.

[0742] "Integration" refers to the process of organizing and combining information collected from multiple data sources into a single, consistent database.

[0743] "Labor tasks" refer to the daily duties and responsibilities that each member of the household should perform, including household chores such as cooking and cleaning.

[0744] "Optimization" refers to the process of adjusting conditions to extract maximum efficiency using limited resources.

[0745] "External information" refers to data obtained from outside the home, such as weather and traffic, that may affect system processing.

[0746] "Household devices" refer to electrical appliances and equipment used in the home, and primarily include those that can be linked with smart devices.

[0747] "Energy efficiency" is an indicator that evaluates whether the energy used is utilized without waste, and is particularly aimed at managing electricity consumption in households.

[0748] "Users" refers to each household member who uses the system on a daily basis, and includes individuals who have roles or tasks within the system.

[0749] "Promoting interaction" refers to creating an environment that facilitates communication and smooth information sharing.

[0750] This invention is embodied as a system for streamlining schedule management and household chore distribution within the home. Its main components include a server, terminals, and users.

[0751] The server functions as the core of this system. It retrieves schedule information through the APIs of the digital calendar services used by each user, such as the Google Calendar API and the Outlook API. This data is organized into a single integrated database. Based on this data, the server calculates the optimal allocation of household tasks for each member of the household. A generative AI model is used for this calculation. The AI ​​algorithm takes into account the user's past task history and individual characteristics to propose the most efficient way to divide tasks.

[0752] The terminal serves as the interface for each user to actually view data and perform necessary operations. Notifications from the server are received via smartphone or tablet applications. Users can view their assigned tasks on the terminal and submit approval or modification requests.

[0753] Users will play a role in managing household schedules and facilitating communication through this system. Each user can use their own device to check their assigned tasks and schedules and make changes to suit their own plans.

[0754] For example, a server might retrieve weather data and, based on the results, change household chores scheduled for outdoors into indoor tasks. Also, if the father is expected to be late from work, tasks might be redistributed to other members on that day.

[0755] An example of a prompt would be: "Describe an AI system that optimizes household member schedules and assigns the most suitable household tasks to each member."

[0756] In this way, this system streamlines the tasks of each member within the household, improving energy efficiency and promoting communication.

[0757] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0758] Step 1:

[0759] The server retrieves each user's schedule information via the digital calendar API. The input data consists of individual appointments for each user. Based on this, the server creates a unified database in a format that avoids duplicate appointments. The output is consistent schedule data for all members of the household. Specifically, the process involves calling APIs from each calendar service and retrieving appointments in JSON format.

[0760] Step 2:

[0761] The server optimizes household tasks using integrated scheduling data. It also utilizes user skill data and past task history as input. A generative AI model is used to assign the most suitable household tasks to each family member. The output is an optimized household chore distribution chart. Specifically, the AI ​​algorithm distributes tasks to each member, creating a distribution chart that takes into account skills and available time.

[0762] Step 3:

[0763] The server notifies each user's device of an optimized household chore schedule. The input is the chore schedule, and the output is a task notification sent to each member. The device is responsible for providing this information to each member of the household, and users who view the displayed schedule can approve or request changes on their device. Specifically, this includes a mechanism to display pop-up messages to users through a notification app.

[0764] Step 4:

[0765] The server constantly monitors data from external sources, such as weather data services and traffic information services. Inputs are updates to this external data, and outputs are schedule adjustment notifications. Based on this information, the schedule is readjusted in real time. Specific operations include using APIs to retrieve data from external services and modifying household task schedules based on specified conditions.

[0766] Step 5:

[0767] The server monitors the status of smart home appliances in the home and operates them as needed. Inputs are data on the operating status of the appliances, and outputs are adjusted operating schedules for those appliances. This optimizes the operation of household equipment to improve energy efficiency. Specifically, this includes sending control signals to operate appliances while avoiding peak power consumption times.

[0768] Step 6:

[0769] The server facilitates information sharing among users within the system and enhances communication. Inputs include each user's progress and messages, while output is information shared among users. This process allows for the exchange of opinions through a chat system, promoting smooth cooperation within the household. Specifically, it provides the functionality for users to send and receive messages using their devices.

[0770] (Application Example 1)

[0771] 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".

[0772] In modern society, managing household schedules and optimizing energy efficiency are crucial challenges. In particular, efficient resource management and improved convenience for citizens are required, given the diverse lifestyles and changing schedules of each household. Furthermore, collaboration with public resources in smart cities is insufficient, resulting in inadequate and efficient transportation support. Solutions to these problems are needed to ensure citizens can live safely and comfortably.

[0773] 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.

[0774] In this invention, the server includes means for integrating schedule information, means for optimizing household activities based on the integrated schedule, means for adjusting the action plan in real time in response to changes in the schedule, means for monitoring and controlling electrical equipment to maximize resource efficiency, means for sharing information and facilitating communication among users, and means for supporting efficient travel in cooperation with public resources. This enables efficient management of schedules inside and outside the home and rational use of energy, and further improves the quality of life for citizens through coordination with public resources.

[0775] "Schedule information" refers to the collective data related to appointments and schedules used by the user and their household.

[0776] "Domestic activities" refers to a series of actions that take place within the home, including everyday tasks, events, and household chores.

[0777] An "action plan" is a time-series or prioritized plan of actions and tasks scheduled based on a specific goal.

[0778] "Electrical equipment" is a general term for devices and equipment installed in homes that operate using electricity.

[0779] "Resource efficiency" refers to a state or indicator that aims to achieve the greatest effect with the minimum amount of energy and other resources provided.

[0780] "Information sharing" refers to the exchange of information such as data and messages among multiple users.

[0781] "Promoting communication" means ensuring that information is exchanged smoothly and effectively.

[0782] "Public resources" refer to resources and facilities in the local community that are widely available to the general public, such as transportation, parks, and libraries.

[0783] "Efficient travel" refers to reaching your destination without wasting time or energy.

[0784] The system for carrying out this invention includes a program for the integrated management of home and public resources. A server retrieves appointment information through the API of the digital calendar service used by each user and integrates it into a central database. This database forms the basis for visualizing all appointments both inside and outside the home.

[0785] The server executes AI algorithms using Python libraries such as pandas and scikit-learn to optimize household activities based on integrated schedule data. It also acquires external data in real time (e.g., weather information and public transport status) and dynamically adjusts the activity plan using the Google Maps API, among others.

[0786] Smart meter APIs and in-home IoT devices are used to control electrical appliances. This allows for the development of optimal usage schedules for electrical appliances to maximize energy efficiency.

[0787] Users can access the system via smartphones or smart glasses to check and change their schedules. Furthermore, a communication platform is provided for users to share information with each other, supporting rapid decision-making and collaboration.

[0788] For example, if a sudden weather change occurs, the server will use that information to readjust the schedule and shift outdoor activities to indoor tasks. An example of a prompt for the generated AI model is, "Explain how coordinating household tasks with smart city public resources can make citizens' lives more efficient."

[0789] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0790] Step 1:

[0791] The server automatically retrieves each user's schedule information using the API of a digital calendar service. The input is each user's calendar authentication information, and the output is the retrieved schedule data. The server integrates this data and stores it in a central database. This allows for unified management of all appointments, both inside and outside the home.

[0792] Step 2:

[0793] The server executes an AI algorithm based on an integrated schedule database. The input is the schedule information from the integrated database, and the output is an optimized household activity plan. Data processing is performed using libraries such as Python's pandas and scikit-learn to calculate the optimal activity schedule that takes into account each user's free time and skill set.

[0794] Step 3:

[0795] The server collects real-time data using external weather and traffic information APIs. The input is data from external information APIs, and the output is an updated action plan. The action plan is dynamically adjusted based on external factors, and any changes that may affect users are implemented in a timely manner.

[0796] Step 4:

[0797] The server monitors the usage data of electrical appliances in the home and obtains power consumption information from the smart meter API. The input is the user's electrical appliance usage, and the output is an optimized power usage plan. Based on this, the server formulates the optimal electrical appliance usage schedule to maximize resource efficiency.

[0798] Step 5:

[0799] The device notifies the user of changed schedules and the latest household activity plans. Input is schedule change information from the server, and output is notifications to the user. The user can use the device to check appointments, request changes, and send feedback to the server.

[0800] Step 6:

[0801] Users share information about schedules and tasks with other family members using the provided communication platform. Input is the user's message data, and output is the transmission of information to other members. This facilitates smoother decision-making and promotes communication within the family.

[0802] 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.

[0803] This invention provides a highly automated system for managing schedules and assigning household chores, and includes a function to adjust tasks while taking into account the user's emotional information. The following describes how this system is implemented.

[0804] Data collection and integration

[0805] The server retrieves and integrates schedule information from each user's registered digital calendar. It also collects emotional information from each user's device through emotion-related data (e.g., smartphone camera, voice assistant, wearable devices). Based on this information, the server understands the user's current emotional state.

[0806] Optimizing household chore schedules and managing emotions

[0807] The server analyzes integrated schedule data and emotional information from the emotion engine to assign household tasks that best suit the user's free time and emotional state. The emotion engine makes adjustments, such as assigning easier tasks to users who are stressed or reducing tasks if they need to refresh themselves.

[0808] Notification and approval

[0809] The device notifies each user of their assigned tasks and schedules. Users receive this information via push notifications or email. Users can review their schedules and, if necessary, approve or request changes.

[0810] Real-time adjustments and emotional feedback

[0811] The server constantly monitors external information (weather, traffic conditions, etc.) and the user's emotional state, and adjusts the schedule accordingly. The emotion engine detects changes in the user's emotions and redistributes or modifies tasks in real time as needed.

[0812] Optimization of home appliance control

[0813] The server can control the operation of home appliances based on emotional information and make settings to create a relaxing atmosphere (such as changing the color tone of the lighting and playing music). It can also adjust operating times to take energy efficiency into consideration.

[0814] Facilitating communication and sharing emotions

[0815] The device visualizes schedules and task progress and supports information sharing among users. Emotional states detected by the emotion engine may be notified to other family members, and a messaging function is provided to activate communication based on this information.

[0816] Specific example

[0817] If a user experiences high levels of stress at work one day, the emotion engine recognizes this emotion, and the server changes complex household chores that were scheduled to be assigned to that user into simpler tasks. Furthermore, the server controls home appliances to change the lighting to a softer tone and play relaxing music. In this way, the system enables flexible and considerate household management that responds to the user's emotions.

[0818] The following describes the processing flow.

[0819] Step 1:

[0820] The server accesses each user's digital calendar service and retrieves appointment information via an API. This information is integrated into a shared database used within the household and updated in real time.

[0821] Step 2:

[0822] The server analyzes biometric data acquired from the user's voice, video, and wearable devices, and uses an emotion engine to identify the user's current emotional state. For example, it assesses stress levels from changes in voice patterns and heart rate.

[0823] Step 3:

[0824] Based on integrated schedule information and emotional data, the server calculates and assigns the most suitable household tasks to each user according to their free time and emotional state. For users experiencing stress, adjustments are made to reduce the burden of tasks.

[0825] Step 4:

[0826] The device notifies each user of their assigned household chore schedule. Users can choose to receive notifications via push notifications or email, and they can then review the notifications and approve or request changes to their schedule.

[0827] Step 5:

[0828] The server receives the change request from the user and automatically readjusts the schedule. The readjusted schedule is then notified to each user's terminal again.

[0829] Step 6:

[0830] The server retrieves weather information and local event data from external data providers and updates schedules in real time if they are affected. It also immediately readjusts schedules if changes in emotions are detected.

[0831] Step 7:

[0832] The server monitors the operating status of various household appliances and controls their operation based on emotional information. For example, it might adjust the intensity and color of lighting to create a relaxing environment, or play preferred music.

[0833] Step 8:

[0834] The device shares information about schedules and emotional states on a communication platform, keeping other family members informed of the situation in real time. Users can use this platform to leave comments and send messages.

[0835] Step 9:

[0836] Users receive emotional changes and daily feedback while checking new schedules and household tasks through their devices. This enables task management optimized for their emotional state.

[0837] (Example 2)

[0838] 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".

[0839] In modern families, there is a need for efficient household management that takes into account the schedules and emotional states of each member. Traditional systems have been unable to adequately integrate schedule information for each user, making it difficult to assign tasks and adjust schedules in real time while considering emotional states. Furthermore, environmental adjustments through the control of home appliances are limited, making energy efficiency optimization a challenge.

[0840] 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.

[0841] In this invention, the server includes means for acquiring schedule information and integrating data from multiple users, means for analyzing acquired emotion-related information and understanding the emotional state of each user, and means for optimizing household chores based on the integrated schedule information and the emotional state of the users. This enables efficient household chore management that takes into account the individual characteristics and emotional state of each user.

[0842] "Schedule information" refers to data about schedules and events registered by users.

[0843] "Emotion-related information" refers to data that indicates the user's feelings and emotional state, and includes information such as facial recognition, voice tone, and heart rate obtained from the device.

[0844] "Integration" refers to combining and processing schedule information and sentiment-related information from different users into a single dataset.

[0845] "Optimizing household chores" is the process of assigning and executing household tasks in the most efficient and effective way, based on the user's schedule and emotional state.

[0846] "Notification method" refers to the means of transmitting information to users, and includes push notifications and email.

[0847] "Controlling electronic devices" refers to managing the operation of home appliances based on instructions from a server, aiming to adjust the environment and improve energy efficiency.

[0848] "Real-time automatic adjustment" refers to the instant updating and adaptation of schedules and household tasks in response to external information and changes in the user's emotions.

[0849] "Information sharing among users" refers to the process of sharing data such as schedules and emotional states accumulated within the system with other users, thereby promoting more active communication.

[0850] This invention is a system in which a server, terminals, and users work together to streamline schedule management and household chore assignment within the home. The entire system is appropriately adjusted based on planning information, including the user's emotional state.

[0851] The server retrieves schedule information from each user's digital calendar application using APIs and stores it in a database. Emotion-related information is collected from the user's smartphone, voice recognition device, and wearable device equipped with a heart rate sensor. This data is integrated and analyzed using Python libraries (Pandas, NumPy). The emotion engine uses machine learning models to evaluate emotional states and calculate appropriate indicators.

[0852] The server optimizes household tasks based on integrated information, assigning tasks according to the user's free time and emotional state. Tasks and schedules are notified to the user via push notifications and email, and the user can check and request changes via their device.

[0853] The server monitors external information (e.g., weather and traffic conditions) and changes in the user's emotional state in real time, and automatically adjusts the schedule as needed via a streaming platform such as Apache Kafka. Furthermore, it controls electronic devices in the home (lighting, music player, etc.) according to the emotional state to provide a comfortable environment.

[0854] As an example, when a user is experiencing high levels of stress in the workplace, the emotion engine recognizes this state, and the server changes complex household tasks into simpler ones. Instructions are sent to electronic devices to change the house lighting to warmer colors and play calming music, thereby creating a relaxing environment for the user.

[0855] An example of a prompt to input into the generating AI model is: "Please explain the mechanism of the schedule adjustment system based on user emotion data. In particular, please give specific examples of how to handle situations when the user is under high stress."

[0856] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0857] Step 1:

[0858] The server collects schedule information through the API of the digital calendar application that each user connects to. The input is the schedule data set by each individual user. This data is retrieved in JSON format and stored in a database on the server. Specifically, the server uses each user's account information to make API calls and retrieve event and task information.

[0859] Step 2:

[0860] The server collects emotion-related information from the user's smartphone or wearable device. Inputs include emotional indicators such as facial recognition, voice tone, and heart rate. This data is collected as numerical data representing the user's mood and stored in a database. Specifically, the server monitors data streams from sensors and cameras, acquiring necessary information in real time.

[0861] Step 3:

[0862] The server integrates the collected schedule information and sentiment data and performs data analysis. The input is the dataset obtained in Step 1 and Step 2. This data is processed using Python's Pandas and NumPy to calculate each user's free time and sentiment state. It also uses a sentiment engine to evaluate sentiment state and calculate stress levels and happiness levels. The output is a schedule and sentiment state profile associated with each user.

[0863] Step 4:

[0864] The server optimizes household chores based on the analysis results. The input is the profile created in step 3. Using an AI algorithm, it automatically assigns household tasks that are suitable for the user's free time and emotional state. Specifically, it schedules each task appropriately according to its difficulty and execution time. The output is a task list and schedule optimized for each individual user.

[0865] Step 5:

[0866] The terminal notifies each user of tasks and schedules based on instructions from the server. The input is the task list created in step 4. Notifications are sent via push notifications or email, prompting users to check their schedules. Specifically, the terminal sends a notification, allowing the user to send a confirmation or modification request. The output is the user's response to confirm or modify the schedule.

[0867] Step 6:

[0868] The server monitors external information and changes in user sentiment in real time and adjusts the schedule as needed. Inputs include weather, traffic conditions, and changes in user sentiment. Streaming data processing using Apache Kafka is used to reflect these changes immediately. Outputs are the adjusted schedule and task assignments.

[0869] Step 7:

[0870] The server controls electronic devices in the home and adjusts the environment according to the user's emotional state. The input is the emotional state obtained in step 6 and real-time user information. The electronic devices control lighting settings and music playback, automatically creating a relaxing environment. The output is the optimized home environment.

[0871] (Application Example 2)

[0872] 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".

[0873] In modern living environments, managing household schedules and assigning tasks is complex. This complexity is further amplified by the interplay of each family member's schedule, individual characteristics, and emotional state. Current systems struggle to smoothly adjust these factors, and such adjustments require significant time and effort. There is a need for effective support to resolve this situation and improve users' quality of life.

[0874] 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.

[0875] In this invention, the server includes means for integrating schedule information, means for collecting emotional information and adjusting work tasks based on that information, and means for notifying mobile communication terminals and providing suggestions. This makes it possible to highly optimize and adjust household schedule management and work task assignments while taking into account each user's emotional state and individual characteristics.

[0876] "Schedule information" refers to data related to time planning that individual users use to manage their daily lives, and this includes details of events and appointments.

[0877] "Integration" refers to the process of combining information collected from multiple data sources into a single, unified structure.

[0878] A "task" refers to a unit of action or activity that should be performed in the home or other environment to achieve a specific purpose.

[0879] "Optimization techniques" are methods for adjusting a process to achieve a result efficiently and effectively under given conditions.

[0880] "Real-time" refers to the concept of time in which processing or reactions occur immediately the moment data is generated or changed.

[0881] A "time plan" is a plan or schedule for efficiently carrying out goals or activities that need to be achieved within a specific period of time.

[0882] A "control device" is a device used to manage, monitor, and adjust the operation of equipment or systems that have a specific function.

[0883] "Resource efficiency" is an indicator that represents the degree of effectiveness in relation to the amount of resources consumed in achieving a specific goal.

[0884] "User" refers to an individual or group that uses a system or service.

[0885] "Information sharing" refers to the act of disclosing or providing specific information in a way that allows multiple users to access it.

[0886] "Means of promoting interaction" refers to methods and processes for stimulating communication and interaction among users.

[0887] "Emotional information" refers to data about a user's mood and psychological state at a specific point in time.

[0888] "Means of adjustment" refers to measures taken to modify or optimize a process or system in accordance with specific conditions or objectives.

[0889] A "mobile communication terminal" is a device that provides communication functions in a portable form, and generally includes smartphones and tablets.

[0890] "Means of providing notifications and suggestions" refers to functions that send information to users and recommend specific actions based on that information.

[0891] In this invention, a server acts as the central hub for efficiently optimizing home schedule management and task assignment. The server first integrates schedule information collected from each user's mobile communication terminal. This integration utilizes devices such as smartphones and tablets. The schedule information is managed in the cloud and efficiently synchronized from various data sources.

[0892] The server also collects emotional information from the user's device. This involves using an AI model that leverages the smartphone's camera and microphone to accurately analyze the user's emotional state from their facial expressions and voice. The software used includes machine learning libraries such as TensorFlow and PyTorch. Furthermore, an emotion engine processes this data in real time to understand the user's emotional state.

[0893] Based on emotional and scheduled information, the server optimizes work tasks. Specifically, if the emotional engine detects stress, it suggests relaxing tasks to the user. This includes functions such as playing music through noise-canceling earphones and adjusting lighting. It also improves the user's quality of life by sending notifications to mobile communication terminals and suggesting schedules as needed.

[0894] For example, when a user is experiencing high stress, the server can sense their emotions and adjust the system to create a quiet environment. Another example of a prompt is, "If the user is tired, suggest relaxing activities," which the AI ​​model then uses to provide appropriate suggestions.

[0895] Because these processes are managed entirely through cloud services, it is possible to provide a seamless user experience while coordinating with multiple devices.

[0896] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0897] Step 1:

[0898] The server retrieves schedule information from each user's mobile communication terminal. The input is data from the user's calendar application. The server sends this data to the cloud and stores it in an integrated database. The output is integrated schedule information.

[0899] Step 2:

[0900] The server acquires audio and facial expression data through the device's camera and microphone to collect user emotion information. The inputs include real-time captured audio and image data. The emotion engine uses a machine learning model (e.g., TensorFlow) to analyze the user's current emotional state from this input data and generates emotion information as output.

[0901] Step 3:

[0902] The server optimizes work tasks based on integrated schedule and sentiment information. The inputs are schedule and sentiment information. These are analyzed in combination to schedule tasks optimally according to the user's situation. The output is the adjusted schedule.

[0903] Step 4:

[0904] The server notifies the user's device of the adjusted schedule. The input is optimized task and schedule information. The device receives this information and generates a push notification to display to the user. The output is the schedule notification on the user's device.

[0905] Step 5:

[0906] The user reviews the schedule and tasks displayed on the device and chooses whether to accept them. The input is the schedule information displayed on the device. Based on the user's actions, schedule adjustments are requested as needed. The output is the user's feedback.

[0907] Step 6:

[0908] The server readjusts the schedule in real time based on user feedback and external information (e.g., weather information). Inputs are user feedback and external information. Based on this information, tasks are reassigned again to provide the best possible suggestions for the user. Output is the updated schedule.

[0909] Step 7:

[0910] The server adjusts the control device settings based on the user's emotional information. The input is emotional information, which is used to adjust lighting and music to promote relaxation. The output is the adjusted environment settings.

[0911] 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.

[0912] 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.

[0913] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0914] 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.

[0915] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0916] 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.

[0917] 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.

[0918] 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.

[0919] 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."

[0920] 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.

[0921] 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.

[0922] 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.

[0923] 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.

[0924] 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.

[0925] 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.

[0926] 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.

[0927] 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.

[0928] 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.

[0929] 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.

[0930] 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.

[0931] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0932] The following is further disclosed regarding the embodiments described above.

[0933] (Claim 1)

[0934] A means of integrating schedule information,

[0935] A means of optimizing household tasks based on an integrated schedule,

[0936] A means of adjusting the schedule in real time in response to changes in the plan,

[0937] A means of monitoring and controlling home appliances to maximize energy efficiency,

[0938] A means of sharing information and facilitating communication among users,

[0939] A system that includes this.

[0940] (Claim 2)

[0941] The system according to claim 1, further comprising means for assigning tasks in consideration of the individual characteristics of the user in optimizing household tasks based on a schedule.

[0942] (Claim 3)

[0943] The system according to claim 1, further comprising means for detecting sudden schedule changes and automating task readjustment.

[0944] "Example 1"

[0945] (Claim 1)

[0946] A means of acquiring and integrating schedule information,

[0947] A means of optimizing work tasks based on integrated data,

[0948] A means of monitoring external information and adjusting schedules in real time,

[0949] A means for monitoring household appliances and optimizing their energy efficiency,

[0950] A means of sharing information and promoting interaction among users,

[0951] A system that includes this.

[0952] (Claim 2)

[0953] The system according to claim 1, further comprising means for distributing work tasks in consideration of the characteristics of the users.

[0954] (Claim 3)

[0955] The system according to claim 1, further comprising means for detecting unexpected schedule changes and automatically readjusting tasks.

[0956] "Application Example 1"

[0957] (Claim 1)

[0958] A means of integrating schedule information,

[0959] A means of optimizing household activities based on an integrated schedule,

[0960] A means of adjusting the action plan in real time in response to changes in the schedule,

[0961] Means for monitoring and controlling electrical equipment to maximize resource efficiency,

[0962] A means of sharing information and promoting communication among users,

[0963] Means of supporting efficient transportation in cooperation with public resources,

[0964] A system that includes this.

[0965] (Claim 2)

[0966] The system according to claim 1, further comprising means for assigning tasks in consideration of the individual characteristics of users in optimizing household activities based on a schedule.

[0967] (Claim 3)

[0968] The system according to claim 1, further comprising means for detecting sudden schedule changes and automating the readjustment of activity plans.

[0969] "Example 2 of combining an emotion engine"

[0970] (Claim 1)

[0971] A means of acquiring schedule information and integrating data from multiple users,

[0972] A means of analyzing acquired emotion-related information to understand each user's emotional state,

[0973] A means of optimizing household chores based on integrated schedule information and the user's emotional state,

[0974] The means of informing users of the schedule through the notification method,

[0975] A means of automatically adjusting the schedule in real time in response to changes in the schedule and external information,

[0976] A means of controlling electronic devices, adjusting the environment, and optimizing energy efficiency,

[0977] A means of sharing information among users and promoting mutual communication,

[0978] A system that includes this.

[0979] (Claim 2)

[0980] The system according to claim 1, further comprising means for assigning tasks in optimizing household chores based on a schedule, taking into account the individual characteristics and emotional state of the user.

[0981] (Claim 3)

[0982] The system according to claim 1, further comprising means for detecting changes in emotional information and automating the readjustment of work in response to sudden schedule changes.

[0983] "Application example 2 when combining with an emotional engine"

[0984] (Claim 1)

[0985] A means of integrating schedule information,

[0986] A means of optimizing work tasks based on an integrated schedule,

[0987] A means of adjusting the time plan in real time in response to changes in the schedule,

[0988] A means for monitoring and controlling the control device to maximize resource efficiency,

[0989] A means of sharing information and promoting interaction among users,

[0990] A means of collecting emotional information and adjusting work tasks based on that information,

[0991] A means of notifying a mobile communication terminal and providing a proposal,

[0992] A system that includes this.

[0993] (Claim 2)

[0994] The system according to claim 1, further comprising means for assigning tasks in the optimization of scheduled work tasks, taking into account the individual characteristics and emotional state of the users.

[0995] (Claim 3)

[0996] The system according to claim 1, further comprising means for detecting sudden schedule changes and automating task readjustment in accordance with emotional information. [Explanation of Symbols]

[0997] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of integrating schedule information, A means of optimizing household activities based on an integrated schedule, A means of adjusting the action plan in real time in response to changes in the schedule, Means for monitoring and controlling electrical equipment to maximize resource efficiency, A means of sharing information and promoting communication among users, Means of supporting efficient transportation in cooperation with public resources, A system that includes this.

2. The system according to claim 1, further comprising means for assigning tasks in consideration of the individual characteristics of users in optimizing household activities based on a schedule.

3. The system according to claim 1, further comprising means for detecting sudden schedule changes and automating the readjustment of activity plans.

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