System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting curriculum data, meal data, location information, and photo data in a facility; means for integrating and organizing the collected data for each specific person; means for automatically generating text in a diary format based on the integrated and organized data; and means for providing the automatically generated diary to a user-specific online portal or application.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In modern society, the number of dual-income households and the use of elderly care facilities are on the rise, resulting in increased time spent away from family. In these circumstances, it is difficult for families to grasp the specific circumstances of life in facilities, and the fragmented information they receive, particularly from childcare workers and facility staff, prevents them from feeling secure. Furthermore, when face-to-face visits are difficult due to the impact of infectious diseases, family anxiety increases. This invention aims to solve these problems, visualize the specific daily life of families in facilities, and provide families with a sense of security. [Means for solving the problem]

[0005] The present invention is a system that includes a means for collecting curriculum data, meal data, location information, and photo data within a facility, a means for integrating and organizing the collected data for each specific individual, a means for automatically generating diary-style text based on the integrated and organized data, and a means for providing the automatically generated diary to a user-specific online portal or application. This allows family members to easily understand the specific daily life of each specific individual at the facility, providing a sense of security. Furthermore, by including a means for using facial recognition technology to extract images of specific individuals from the collected photo data and a means for notifying the user of the contents of the generated diary, more detailed and accurate information can be provided.

[0006] "Curriculum data" refers to data that records the time, content, location, etc. of activities and events that take place within the facility.

[0007] "Meal data" refers to data that records the menu, amount, and time of intake of a meal served at a specific time.

[0008] "Location information" is data that indicates the current location and activity area of ​​a specific person within the facility.

[0009] "Photo data" is image data of people and activities taken within the facility.

[0010] "Integration and organization" is the process of bringing together multiple different sets of collected data for a specific person and arranging them in a meaningful way.

[0011] "Means for automatically generating diary-style text" refers to artificial intelligence or algorithms that construct text based on collected data.

[0012] An "online portal or application" is a website or smartphone application that a user can access via the internet.

[0013] "Facial recognition technology" is a technology for identifying and extracting the face of a specific person from photographic data.

[0014] "Means for notifying" refers to a function or system for notifying users in real time when new information is generated. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The present invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system is implemented as follows.

[0037] System configuration

[0038] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[0039] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[0040] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[0041] Program processing flow

[0042] 1. Data Collection:

[0043] The server receives curriculum data (e.g., activity times and content) from tablet devices within the facility.

[0044] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0045] The server receives meal data (e.g., meal times and menus) from the facility's meal management system.

[0046] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0047] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems.

[0048] Example: The location information "10:00 Playroom" is received.

[0049] The server periodically receives photographic data from the camera system within the facility.

[0050] Example: "9:15 Photo of gymnastics" is received.

[0051] 2. Data integration and organization:

[0052] The server maps the collected data to specific people and organizes the data based on time information.

[0053] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0054] The server uses facial recognition technology to cut out images of specific people from the photo data.

[0055] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0056] 3. Diary text generation:

[0057] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[0058] Example: The following sentence is generated: "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies. After that, we played in the playroom and had curry rice for lunch."

[0059] 4. Completion and submission of diary:

[0060] The server stores the automatically generated diary in a user-specific online portal or application.

[0061] Example: The generated diary is saved on a portal site for parents only.

[0062] The user uses the terminal to log in to an online portal or application and view the diary.

[0063] Example: A parent checks what's happening today on an app on their smartphone.

[0064] Specific examples

[0065] The following diary is generated as an example of a child's day at the facility.

[0066] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0067] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0068] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0069] This allows family members to understand the daily life of a particular person at the facility and gives them a sense of security.

[0070] The processing flow will be explained below.

[0071] Step 1: Collect data

[0072] The server receives curriculum data from tablet devices within the facility, which records the time and content of activities.

[0073] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0074] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[0075] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0076] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[0077] Example: The location information "10:00 Playroom" is received.

[0078] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[0079] Example: "9:15 Photo of gymnastics" is received.

[0080] Step 2: Consolidate and organize your data

[0081] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[0082] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0083] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[0084] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0085] Step 3: Diary text generation

[0086] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[0087] For example, the sentence generated for morning activities is "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies.", and for mealtimes, the sentence generated is "We had curry rice for lunch."

[0088] Step 4: Complete and submit your diary

[0089] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[0090] Example: The generated diary is saved on a portal site for parents only.

[0091] Users can use their devices to log into an online portal or application to view the diary, a process that allows users to see details of their family's day.

[0092] Example: A parent checks what's happening today on an app on their smartphone.

[0093] Step 5: Notification

[0094] The server sends a notification to the user when a new diary entry is created, allowing the user to know in real time that new information is available.

[0095] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0096] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[0097] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[0098] Example 1

[0099] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0100] There is a problem that it is difficult for guardians and family members to keep track of the daily activities of specific individuals in the facility. In particular, the lack of detailed and timely information makes it difficult to grasp the situation, which often leads to anxiety.

[0101] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0102] In this invention, the server includes means for collecting curriculum data, meal data, location information, and image data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to a user-specific online portal or software, thereby enabling the user to grasp detailed daily activity information for each specific person in real time.

[0103] "Curriculum data" refers to information about the content and time of activities taking place within the facility.

[0104] "Meal data" refers to information about meal times and menus served within the facility.

[0105] "Location information" is data that indicates where a particular person is located within a facility.

[0106] "Image data" refers to information about photos and videos taken by the camera system within the facility.

[0107] "Facial recognition technology" is a technology that identifies the face of a specific person from image or video data.

[0108] "Means of integration and organization" refers to the process of aggregating collected data for specific individuals and systematically organizing it based on time and content.

[0109] "Means for automatically generating diary-style text" refers to programs or algorithms for creating diaries in natural language based on integrated and organized data.

[0110] "User-specific online portal or software" means a website or application that a User can access and use to view the diary entries that the User has created.

[0111] The "notification means" is a system for notifying the user of the contents of the created diary in real time.

[0112] This invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system uses the following hardware and software.

[0113] System configuration

[0114] Server: The server periodically collects the following data from various data sources within the facility:

[0115] Curriculum data: Collected from tablet devices within the facility. Example: "9:00 - 10:00 Gymnastics time."

[0116] Meal data: Collected from the meal management system. Example: "12:00 - 12:30 Lunch: Curry rice"

[0117] Location information: Collected from GPS and Wi-Fi tracking systems. Example: "10:00 Playroom"

[0118] Image data: collected from the camera system within the facility. Example: "Photo of gymnastics at 9:15"

[0119] Technologies used and data processing

[0120] The server collects, aggregates, and organizes data using the following technologies:

[0121] Data integration technology: Collected data is mapped to specific individuals and organized chronologically based on timestamps.

[0122] Facial recognition technology: Using technologies such as OpenCV and Amazon Rekognition, we identify and extract the faces of specific people from image data.

[0123] Generative AI model: Using natural language generation models such as GPT-3, diary-style text is automatically generated based on the integrated and organized data.

[0124] Specific processing examples

[0125] The server generates a diary like the one below based on the integrated and organized data.

[0126] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0127] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0128] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0129] Prompt Sentence Examples

[0130] An example of a prompt sentence to input to the generative AI model is as follows:

[0131] "We did exercises from 9:00 to 10:00. After that, we played in the playroom from 10:00. We had lunch from 12:00. The menu was curry rice."

[0132] The server stores the diary thus generated in a user-specific online portal or software, and the user can view the diary using a terminal.

[0133] This system allows users to grasp detailed information about a specific person's daily activities in real time, and provides a diary with detailed timelines and photos, giving users a sense of security.

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

[0135] Step 1: Collect data

[0136] The server acquires curriculum data from tablet devices within the facility. Activity details and time period information entered on the device is sent to the server, which stores this in a database. The server also collects meal data from the meal management system. It periodically receives location information from the facility's GPS and Wi-Fi tracking systems, and finally acquires image data from the camera system. Specifically, it sends API requests to each data source and stores the data obtained as a response.

[0137] Input: Curriculum data from tablet devices, meal data from the meal management system, location information from GPS and Wi-Fi tracking systems, image data from the camera system

[0138] Output: Various data stored on the server

[0139] Step 2: Consolidate and organize your data

[0140] The server maps the various collected data to specific individuals and organizes them based on timestamps. Specifically, it combines data based on the individual ID and timestamp assigned to each data item to create a daily activity profile for each individual. It uses facial recognition technology to identify the faces of specific individuals from image data and cuts out those areas. Specifically, it uses a facial recognition algorithm to detect the faces of specific individuals from photos and then processes the images.

[0141] Input: Various data stored on the server (curriculum data, meal data, location information, image data)

[0142] Output: A consolidated and organized dataset for each person.

[0143] Step 3: Diary text generation

[0144] The server uses a generative AI model to automatically generate diary-style sentences based on the integrated and organized data. Specifically, it formats the prompt sentences and inputs them into a generative AI model (e.g., GPT-3). The model generates natural sentences based on the input prompt sentences and outputs them as diary entries. Specifically, it retrieves the organized data from the database, converts them into prompt sentences, sends them to the model, retrieves the generated sentences, and saves them back into the database.

[0145] Input: Consolidated and organized data set for each person, prompt statement

[0146] Output: Generated diary sentences

[0147] Step 4: Save and share your diary

[0148] The server stores the automatically generated diary entries in an online portal or software dedicated to the user. Specifically, the generated diary entries are stored in a database of a portal or application corresponding to each user, and are accessible to the user. The user can view the diary entries by logging in to the online portal or application using a terminal. Specifically, the server performs user authentication, retrieves the corresponding diary data from the cloud storage or database, and displays it.

[0149] Input: Generated diary sentence, user access request

[0150] Output: Diary content provided to the user

[0151] (Application example 1)

[0152] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0153] The goal of this system is to record the activities and situations of specific individuals in facilities or brick-and-mortar stores in detail, and then generate diary-style text based on that information, allowing guardians and administrators to understand the daily routine and status of those individuals. However, existing systems often require manual collection and organization of data, which is time-consuming and labor-intensive, and has limited accuracy. Furthermore, it is difficult to generate natural-sounding text based on this data.

[0154] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0155] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within a facility, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, means for collecting job data, meal data, location information, and photo data within a physical store, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to an online portal or application dedicated to the store manager. This makes it possible to automatically collect and organize detailed activity records of specific individuals at a facility or physical store, and further generate and provide natural diary-style text based on the records.

[0156] "Institutional curriculum data" refers to information about planned activities and schedules within an institution.

[0157] "Meal data" is information about meal times, contents, and menus.

[0158] "Location information" is information that indicates where a specific person or employee is located within a facility or physical store.

[0159] "Photo data" refers to image data taken within a facility or physical store.

[0160] "Job data" is information about what job a particular employee performs at what time.

[0161] "Means for integrating and organizing for specific individuals" refers to methods or technologies for associating collected data with specific individuals and managing them in a unified manner.

[0162] "Means for automatically generating diary-style text" is a technology that generates natural-looking text based on collected and organized data.

[0163] A "user-specific online portal or application" is a dedicated website or mobile application that can be accessed by a specific user.

[0164] "Means for integrating and organizing by employee" refers to methods and technologies for associating collected data with specific employees and managing them centrally.

[0165] "Store Manager Exclusive Online Portal or Application" means a dedicated website or mobile application accessible by store managers.

[0166] "Facial recognition technology" is a technology that identifies the face of a specific person from image data and extracts that part.

[0167] This invention is a system for automatically generating a diary for a specific person in a facility or a physical store. This system is mainly composed of three elements: a server, a terminal, and a user.

[0168] System hardware and software configuration

[0169] Hardware:

[0170] Smartphones, tablets, GPS sensors, Wi-Fi tracking systems, cameras, and servers

[0171] software:

[0172] Job management systems, meal management systems, facial recognition technology, generative AI models, online portals, or mobile applications

[0173] Data collection

[0174] The server collects the following data:

[0175] Curriculum data within a facility, job data within a physical store (e.g., "9:00 - 10:00 Stocking inventory").

[0176] Meal data from a meal management system (e.g., "12:00 - 12:30 Lunch: Sandwich").

[0177] Location information from GPS or Wi-Fi tracking systems (e.g., "10:00, Area B inside the store").

[0178] Photo data from in-store camera systems (e.g., "Photo taken at 9:15 while organizing merchandise").

[0179] Data Integration and Cleansing

[0180] The server aggregates the collected data for specific individuals or employees and organizes it based on time information. For example, it compiles product sorting data, location information, and photo data from the 9:00-10:00 time period. It then uses facial recognition technology to extract images of specific individuals from the photo data.

[0181] Diary text generation

[0182] The server uses a generative AI model to automatically generate natural-sounding sentences based on the integrated and organized data. Below is an example of a prompt sentence to be input to the generative AI model.

[0183] Prompt Sentence Examples

[0184] markdown

[0185] Activity Record

[0186] 9:00 - 10:00: Sorting products

[0187] 10:00 - 11:00: Area B

[0188] meal

[0189] 12:00 - 12:30: Sandwiches

[0190] Location information

[0191] 10:00: Area B inside the store

[0192] photograph

[0193] 9:15: Photos of the product being sorted

[0194] Diary generation

[0195] Use this information to generate a business diary like the one below.

[0196] diary:

[0197] Diary provision

[0198] The automatically generated diary is provided in the following ways:

[0199] Your own online portal or application:

[0200] The automatically generated diary is stored on a portal site exclusively for parents and guardians.

[0201] Additionally, specific employee diaries are stored in an online portal or application dedicated to store managers.

[0202] Specific examples

[0203] For example, an employee's diary in a physical store is generated as follows:

[0204] 9:00 AM: "Today, we started sorting the items from 9:00 AM. As you can see in the photos, we worked carefully."

[0205] 10:00 AM: "At 10:00, we made some layout adjustments in Area B of the store."

[0206] 12:00 PM: "By 12:00 I had a delicious lunch sandwich."

[0207] This completes the description of the embodiment of the present invention. This system automatically collects and organizes detailed activity records of specific individuals at facilities or brick-and-mortar stores, and then generates and provides natural diary-style text based on these records.

[0208] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0209] Step 1: Collect data

[0210] The server receives curriculum data from tablet devices and sensors within the facility. For example, the server obtains data on the facility's activity times and content. Next, it receives meal data from the meal management system, obtaining information on meal times and menus. It also periodically receives location information from GPS and Wi-Fi tracking systems to identify the activity locations of specific individuals. It also collects photo data at specific times from the facility's camera system. The input is data from each management system and sensor, and the output is a series of unorganized data.

[0211] Step 2: Consolidate and organize your data

[0212] The server maps the collected data to specific individuals and organizes the data based on time information. The server unifies each collected item (curriculum, meals, location, photos) based on a daily timeline to generate a dataset for each specific individual. Photo information is supplemented by using facial recognition technology to extract the faces of specific individuals from the photo data. The input is the data collected in step 1, and the output is the integrated and organized data.

[0213] Step 3: Diary text generation

[0214] The server automatically generates diary-style text based on the integrated and organized data using a generative AI model. Here, the server passes the following prompt sentence to the generative AI model to generate the text:

[0215] Prompt Sentence Examples

[0216] markdown

[0217] Activity Record

[0218] 9:00 - 10:00: Sorting products

[0219] 10:00 - 11:00: Area B

[0220] meal

[0221] 12:00 - 12:30: Sandwiches

[0222] Location information

[0223] 10:00: Area B inside the store

[0224] photograph

[0225] 9:15: Photos of the product being sorted

[0226] Diary generation

[0227] Use this information to generate a business diary like the one below.

[0228] diary:

[0229] The input is the data organized in step 2, and the output is smartly organized diary entries.

[0230] Step 4: Save and share your diary

[0231] The server stores the automatically generated diary entry in a user-specific online portal or application. Users can view their diary entries by logging in to the online portal or application using their own devices. The input is the diary entry generated in step 3, and the output is the diary entry saved in a form accessible to the user. Specifically, the server associates the diary entry with a specific user account and stores it in a database.

[0232] The above are the specific processing steps of the system. This series of processes makes it possible to automatically generate a detailed diary of a specific person at a facility or physical store and provide it to the user.

[0233] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0234] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and has the function of recognizing the user's emotions and adjusting the content. This system is composed of elements such as a server, a terminal, and a user.

[0235] System configuration

[0236] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[0237] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[0238] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[0239] Additional system configuration

[0240] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the contents of the diary and the timing of notifications.

[0241] Program processing flow

[0242] 1. Data Collection:

[0243] The server receives curriculum data from tablet devices within the facility and records the time and content of activities.

[0244] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0245] The server receives meal data from the facility's meal management system and records the menu of meals provided and the time of consumption.

[0246] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0247] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific individuals.

[0248] Example: The location information "10:00 Playroom" is received.

[0249] The server periodically receives photographic data from a camera system within the facility and visually records some of the activity.

[0250] Example: "9:15 Photo of gymnastics" is received.

[0251] 2. Data integration and organization:

[0252] The server maps the collected data to specific individuals and organizes it into a single timeline based on time information.

[0253] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0254] The server uses facial recognition technology to cut out images of specific people from the photo data, making it easier to identify them.

[0255] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0256] 3. Diary text generation:

[0257] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[0258] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for lunch time, the sentence generated is "We ate curry rice deliciously at 12:00."

[0259] 4. Emotional engine regulation:

[0260] The server analyzes the user's past reactions and feedback and tailors the generated diary to the user's emotions. For example, if the user expresses positive emotions toward a particular activity, similar activities will be highlighted.

[0261] For example, if a user responds "I like gymnastics class," the content is described in detail.

[0262] 5. Completion and submission of diary:

[0263] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[0264] Example: The generated diary is saved on a portal site for parents only.

[0265] Users can use their devices to log into an online portal or application to view the diary, in the process allowing them to see details of their family's day.

[0266] Example: A parent checks what's happening today on an app on their smartphone.

[0267] 6. Notice:

[0268] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[0269] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0270] This makes it easier for family members to understand the daily life of a specific person at the facility, giving them a sense of security.In addition, the introduction of an emotion engine makes it possible to provide optimal information to users.

[0271] The processing flow will be explained below.

[0272] Step 1: Collect data

[0273] The server receives curriculum data from tablet devices in the facility in a timely manner, recording the time and content of activities.

[0274] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0275] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[0276] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0277] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[0278] Example: The location information "10:00 Playroom" is received.

[0279] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[0280] Example: "9:15 Photo of gymnastics" is received.

[0281] Step 2: Consolidate and organize your data

[0282] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[0283] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0284] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[0285] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0286] Step 3: Diary text generation

[0287] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[0288] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for mealtimes, it is "We ate curry rice deliciously at 12:00."

[0289] Step 4: Emotional Engine Adjustment

[0290] The server analyzes the diary entries generated based on the user's past reactions and feedback, and adjusts the diary entries based on the user's emotions. For example, activities that have generated positive reactions will be described in more detail.

[0291] For example, if a user responds "I like gymnastics class," the content is described in detail.

[0292] Step 5: Complete and submit your diary

[0293] The server stores the automatically generated diary in a user-specific online portal or application, allowing the user to view the diary at any time.

[0294] Example: The generated diary is saved on a portal site for parents only.

[0295] Users use their devices to log into an online portal or application and view the diary, a process that allows users to see details of their family member's day at the facility.

[0296] Example: A parent checks what's happening today on an app on their smartphone.

[0297] Step 6: Notification

[0298] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[0299] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0300] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[0301] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[0302] Example 2

[0303] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0304] In conventional facility record-keeping systems, a detailed understanding of a specific person's daily life required manual input and organization of large amounts of data. Furthermore, it was difficult to provide information that took into account the user's emotions, making it difficult to meet individual needs. The present invention aims to solve these problems by providing a system that automatically generates a diary for a specific person and adjusts the content based on the user's emotions.

[0305] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating natural language sentences using a generative AI model based on the integrated and organized data, means for providing the automatically generated diary to a user-specific online portal or application, and means for adjusting the content of the diary and notifications based on the user's emotions. This makes it possible to efficiently and in detail understand the daily life of a specific person and provide optimal information according to the user's emotions.

[0306] "Institutional curriculum data" refers to information about specific activities or programs within an institution, including, for example, schedule information for exercise periods and study periods.

[0307] "Meal data" refers to information regarding the menu and time of meals served within the facility.

[0308] "Location information" refers to information about the location and movement routes of a particular person within a facility, and is obtained from GPS and Wi-Fi tracking systems.

[0309] "Photo data" refers to image data captured by a camera system within the facility, and is used to visually record activities, etc.

[0310] "Means of integration and organization" refers to methods and technologies for mapping multiple types of collected data to specific individuals and arranging them in chronological order.

[0311] A "generative AI model" refers to an artificial intelligence technology that automatically generates natural language sentences based on given data.

[0312] "Means for automatically generating natural language text" refers to a method that uses a generative AI model to generate human-readable text from data.

[0313] "Online Portal" means a website or application that a user can access via the Internet and where the diary can be viewed.

[0314] "User" refers primarily to a person's guardian or family member, who views the diary through an online portal or application.

[0315] "Means for adjusting the content of diary entries and notifications based on emotions" refers to methods and technologies for analyzing a user's past reactions and feedback and optimizing the content of the diary entries and notifications generated based on that.

[0316] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and adjusts the content by recognizing the user's emotions. This system is composed of elements such as a server, a terminal, and a user.

[0317] server

[0318] The server collects data from tablets, meal management systems, GPS and Wi-Fi tracking systems, and camera systems within the facility. Specifically, it works as follows:

[0319] 1. Curriculum data collection

[0320] The server receives and records the curriculum data entered by facility staff on tablet devices. For example, if a staff member enters data such as "9:00 - 10:00 gymnastics time," the server records this data in the specified format.

[0321] 2. Collection of dietary data

[0322] The server receives and records meal menus and meal times from the facility's meal management system. For example, if data such as "12:00 - 12:30 Lunch: Curry rice" is sent, the server automatically recognizes this data and stores it in the database.

[0323] 3. Collection of location information

[0324] It periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific people. For example, the server polls location information every 10 minutes and receives and stores data such as "10:00 Playroom."

[0325] 4. Photo data collection

[0326] The system periodically receives photo data from the camera system within the facility and visually records some of the activities. For example, "Photo of gymnastics at 9:15" is sent from the camera system, and the server stores this as image data.

[0327] Terminal

[0328] The devices can be used by staff and parents within the facility to input and view data. For example, staff can input data in real time using tablet devices.

[0329] User

[0330] Users are primarily guardians or family members of a particular person, and can view the diary created through online portals or applications. For example, a parent can use a smartphone app to check what happened that day.

[0331] Generating diary entries using a generative AI model

[0332] The server uses a generative AI model based on the collected and organized data to automatically generate natural-sounding sentences. For example, for morning activities, the following prompt sentences can be input into the generative AI model to generate natural-language sentences:

[0333] Example prompt sentence:

[0334] "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Gymnastics"

[0335] Example of generated sentence:

[0336] "Today, we started exercises at 9:00. As you can see in the photo, we moved our bodies energetically. At 12:00, we ate curry rice with gusto."

[0337] Emotional engine regulation

[0338] The server analyzes the user's past reactions and feedback and adjusts the diary entries to reflect the user's emotions. For example, if the user responds by saying, "I like gymnastics class," the diary entry will be adjusted to include more details about that.

[0339] Diary provision and notifications

[0340] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing the user to access them at any time. When a new diary entry is created, the server notifies the user at the appropriate time. For example, a notification that "a new diary entry has been updated" is sent to the parent's smartphone in real time.

[0341] This system makes it possible to efficiently grasp the daily life of a specific person in a facility, and to provide optimal information according to the user's emotions.

[0342] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0343] Step 1: Collect data

[0344] The server collects curriculum data entered from tablet devices in the facility, meal data from the facility's meal management system, location information from the GPS and Wi-Fi tracking system, and photo data from the camera system. Based on the entered data, the server converts this data into an appropriate format and stores it in a database in the specified format.

[0345] Specific operation: When a staff member enters data such as "9:00 - 10:00 Exercise time" into a tablet device, the server receives this data and records it in the database. Meal data such as "12:00 - 12:30 Lunch: Curry rice" is automatically acquired and saved.

[0346] Step 2: Consolidate and organize your data

[0347] The server categorizes the collected data by specific person, integrates it based on time information, and organizes it into a single timeline. In this process, facial recognition technology is used to extract images of specific people from the photo data, making mapping easier.

[0348] Input: curriculum data, meal data, location information, photo data

[0349] Output: Timeline of a specific person

[0350] Specific operation: For example, the data for morning exercise time is integrated as "9:00 - 10:00 exercise time" and the location information is integrated as "10:00 playroom," and the face of a specific person is cut out from the photo data and saved.

[0351] Step 3: Diary text generation

[0352] The server automatically generates natural language sentences using a generative AI model based on the integrated and organized data. A prompt sentence is set and input into the generative AI model to generate the sentence.

[0353] Input: Integrated timeline data

[0354] Output: Diary text in natural language

[0355] Specific behavior: For example, the prompt sentence "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Doing gymnastics" is input into the generative AI model, and the model generates a sentence such as "Today, gymnastics started at 9:00. As you can see in the photo, the child moved energetically. At 12:00, the child ate curry rice with gusto."

[0356] Step 4: Emotional Engine Adjustment

[0357] The server analyzes the user's past reactions and feedback and adjusts the generated diary to match the user's emotions. For activities that have generated positive reactions, the server adjusts the diary by adding more detailed descriptions of the activities.

[0358] Input: Generated diary entries, user emotion data

[0359] Output: Adjusted diary entry

[0360] Specific action: For example, if the user provides feedback such as "I like gymnastics class," modify the sentence to describe the gymnastics section in more detail.

[0361] Step 5: Provide a diary

[0362] The server stores the automatically generated and adjusted diary in a user-specific online portal or application, making it accessible to the user.

[0363] Input: Adjusted diary entry

[0364] Output: Save to User Portal

[0365] Specific operation: The generated diary entries are saved in the "Parent Portal" folder and can be viewed when the user accesses the online portal.

[0366] Step 6: Notification

[0367] When a new diary entry is created, the server determines the appropriate timing for notification and sends the notification to the user.

[0368] Input: New diary entry

[0369] Output: Information message

[0370] Specific operation: When the diary is completed, the server generates a notification message saying "A new diary entry has been updated" and sends a push notification to the parent's smartphone in real time.

[0371] In this way, family members can efficiently and in detail understand the daily life of a particular person who spends time at the facility, and optimal information can be provided according to the user's emotions.

[0372] (Application example 2)

[0373] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0374] In recent years, there has been a demand for systems that automatically generate diaries for specific individuals within a facility. However, conventional systems have had difficulty integrating collected data and automatically generating natural-sounding sentences. Furthermore, the generated diaries are not adjusted to match the user's emotions, which prevents the system from providing users with information that satisfies them. This has led to a decline in interest and trust when users view the diaries. Furthermore, the timing of notifications is not adjusted based on the user's emotions, resulting in an inconsistent user experience.

[0375] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0376] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for specific individuals, means for generating natural-sounding sentences using a generative AI model, means for adjusting the content of the generated diary based on the user's emotions, means for collecting user feedback and recognizing emotions, and means for providing the automatically generated diary to a user-specific online portal or application. This makes it possible to automatically generate natural-sounding sentences from the collected data and adjust the content of the diary based on the user's emotions. Furthermore, facial recognition technology can be used to crop images of specific individuals as needed, and notifications to the user can be sent at appropriate times, improving the user experience.

[0377] "Curriculum data" refers to data that records the schedule and content of activities, classes, and events conducted within the facility.

[0378] "Meal data" refers to data that records the menu and time of meals served within the facility.

[0379] "Location information" refers to GPS and Wi-Fi tracking data that indicates where a particular person is within a facility.

[0380] "Photo data" is image data that visually records the activities of a specific person within a facility.

[0381] A "generative AI model" is an artificial intelligence model that generates natural-looking sentences based on collected data.

[0382] The "emotion engine" is a technology that analyzes users' past reactions and feedback and adjusts the content of the generated diary.

[0383] An "online portal" is a website or application that users can access through the Internet.

[0384] A "smartphone" is a portable electronic device that can run sophisticated applications in addition to telephone functions.

[0385] A "head-mounted display" is a display device that is worn on the user's head.

[0386] "Facial recognition technology" is a technology for identifying and cutting out the face of a specific person from photographic data.

[0387] A "notification system" is a system for notifying users of new information and updates.

[0388] This system automatically generates detailed diaries about specific people in a facility and adjusts the contents of the diaries by recognizing the user's emotions. This system is mainly composed of a server, terminals, and users.

[0389] server

[0390] The server has the following functions:

[0391] 1. Data Collection:

[0392] The server collects curriculum data, meal data, location information, and photo data obtained from sensors in the facility and staff input. This data is periodically acquired from tablets, GPS, Wi-Fi tracking systems, and camera systems in the facility.

[0393] For example, the data includes specific information such as morning activity time "9:00-10:00" for exercise, lunch "12:00-12:30 curry rice," location information "10:00 playroom," and photo data "9:15 photo taken during exercise."

[0394] 2. Data integration and organization:

[0395] The server maps the collected data to specific individuals and organizes them by time, for example, listing activity data, location information, and photo data from the time period "9:00-10:00."

[0396] 3. Diary text generation:

[0397] The server generates natural-sounding sentences using a generative AI model (e.g., OpenAI's GPT-4) based on the consolidated and organized data. At this stage, the following prompt sentences are used:

[0398] Generate a customer diary using the information below.

[0399] Time: 2023-10-10 15:30:00

[0400] Location: fitting room

[0401] Activity: Trying on clothes

[0402] Emotion: Positive

[0403] This generates sentences such as, "I tried on clothes in the fitting room at 3:30 p.m. on October 10, 2023. It was really fun!"

[0404] 4. Emotional engine regulation:

[0405] The server analyzes the user's feedback and adjusts the generated diary entries based on their emotions. For example, if the user responds, "I like trying on clothes," the server will detail that experience.

[0406] 5. Diary provision:

[0407] The automatically generated diary is provided to the user through an online portal or application, allowing the user to check the diary at any time.

[0408] 6. Notification System:

[0409] When a new diary entry is created, the server notifies the user at an appropriate time based on the user's emotions, allowing the user to know in real time that new information is available.

[0410] Terminal

[0411] The terminals are used by staff and users in the facility for data entry and viewing, and include tablet devices and smartphones.

[0412] User

[0413] Users are primarily parents or family members who check the diary provided through an online portal or application. Users can log in using their own devices and view the contents of the diary. For example, they can check "Today's Events" on a smartphone app.

[0414] In this way, the present invention is a system that efficiently collects and organizes data within a facility, creates natural diary entries using a generative AI model, and provides appropriate information tailored to the user's emotions, thereby improving the user experience.

[0415] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0416] Step 1:

[0417] The server collects curriculum data, meal data, location information, and photo data from tablet devices and sensors within the facility. Specifically, each device within the facility sends its data to the server, which receives and stores it. Inputs include, for example, curriculum data such as "9:00 - 10:00 gymnastics time," meal data such as "12:00 - 12:30 curry rice," location information such as "10:00 playroom," and photo data such as "9:15 photo taken during gymnastics." All of this data is then stored in the server's database as output.

[0418] Step 2:

[0419] The server integrates and organizes the collected data for each specific person. Specifically, it filters the data in the database for each specific person, sorts them chronologically, and maps them as a single timeline. The input includes the data collected in step 1, and the output generates timeline data in which data for each specific person is integrated.

[0420] Step 3:

[0421] The server uses a generative AI model to generate diary-style text based on the integrated and organized data. Specifically, the integrated timeline data is input as a prompt sentence and passed to the generative AI model. An example of a prompt sentence is, "Generate a customer diary based on the following information: - Time: 2023-10-10 15:30:00 - Location: Dressing room - Activity: Trying on clothes - Emotion: Positive." The generated diary-style text is obtained as the output.

[0422] Step 4:

[0423] The server recognizes emotions based on user feedback and adjusts the content of the generated diary. Specifically, it analyzes past feedback data from users and uses the results to revise the diary content. The input includes the generated diary-style text and the user's feedback data. For example, if a user provides feedback such as "I like trying on clothes," the text is adjusted to emphasize that content. The output is an adjusted diary-style text.

[0424] Step 5:

[0425] The server provides the automatically generated diary to a user-specific online portal or application, specifically by linking the completed diary to a specific user's account, storing it, and making it accessible. The input includes the adjusted diary text, and the output is the diary stored within the user's portal site or application.

[0426] Step 6:

[0427] The server notifies the user that a new diary entry has been created. Specifically, it uses a cloud notification service (e.g., Firebase Cloud Messaging) to send a notification to the smartphone. The input includes the existence information of the created diary entry, and the output is a notification that "A new diary entry has been updated" is displayed on the user's smartphone.

[0428] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0429] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0430] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0431] [Second embodiment]

[0432] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0433] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0434] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0435] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0436] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0437] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0438] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0439] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0440] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0441] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0442] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0443] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0444] The present invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system is implemented as follows.

[0445] System configuration

[0446] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[0447] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[0448] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[0449] Program processing flow

[0450] 1. Data Collection:

[0451] The server receives curriculum data (e.g., activity times and content) from tablet devices within the facility.

[0452] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0453] The server receives meal data (e.g., meal times and menus) from the facility's meal management system.

[0454] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0455] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems.

[0456] Example: The location information "10:00 Playroom" is received.

[0457] The server periodically receives photographic data from the camera system within the facility.

[0458] Example: "9:15 Photo of gymnastics" is received.

[0459] 2. Data integration and organization:

[0460] The server maps the collected data to specific people and organizes the data based on time information.

[0461] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0462] The server uses facial recognition technology to cut out images of specific people from the photo data.

[0463] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0464] 3. Diary text generation:

[0465] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[0466] Example: The following sentence is generated: "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies. After that, we played in the playroom and had curry rice for lunch."

[0467] 4. Completion and submission of diary:

[0468] The server stores the automatically generated diary in a user-specific online portal or application.

[0469] Example: The generated diary is saved on a portal site for parents only.

[0470] The user uses the terminal to log in to an online portal or application and view the diary.

[0471] Example: A parent checks what's happening today on an app on their smartphone.

[0472] Specific examples

[0473] The following diary is generated as an example of a child's day at the facility.

[0474] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0475] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0476] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0477] This allows family members to understand the daily life of a particular person at the facility and gives them a sense of security.

[0478] The processing flow will be explained below.

[0479] Step 1: Collect data

[0480] The server receives curriculum data from tablet devices within the facility, which records the time and content of activities.

[0481] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0482] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[0483] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0484] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[0485] Example: The location information "10:00 Playroom" is received.

[0486] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[0487] Example: "9:15 Photo of gymnastics" is received.

[0488] Step 2: Consolidate and organize your data

[0489] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[0490] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0491] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[0492] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0493] Step 3: Diary text generation

[0494] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[0495] For example, the sentence generated for morning activities is "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies.", and for mealtimes, the sentence generated is "We had curry rice for lunch."

[0496] Step 4: Complete and submit your diary

[0497] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[0498] Example: The generated diary is saved on a portal site for parents only.

[0499] Users can use their devices to log into an online portal or application to view the diary, a process that allows users to see details of their family's day.

[0500] Example: A parent checks what's happening today on an app on their smartphone.

[0501] Step 5: Notification

[0502] The server sends a notification to the user when a new diary entry is created, allowing the user to know in real time that new information is available.

[0503] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0504] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[0505] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[0506] Example 1

[0507] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0508] There is a problem that it is difficult for guardians and family members to keep track of the daily activities of specific individuals in the facility. In particular, the lack of detailed and timely information makes it difficult to grasp the situation, which often leads to anxiety.

[0509] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0510] In this invention, the server includes means for collecting curriculum data, meal data, location information, and image data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to a user-specific online portal or software, thereby enabling the user to grasp detailed daily activity information for each specific person in real time.

[0511] "Curriculum data" refers to information about the content and time of activities taking place within the facility.

[0512] "Meal data" refers to information about meal times and menus served within the facility.

[0513] "Location information" is data that indicates where a particular person is located within a facility.

[0514] "Image data" refers to information about photos and videos taken by the camera system within the facility.

[0515] "Facial recognition technology" is a technology that identifies the face of a specific person from image or video data.

[0516] "Means of integration and organization" refers to the process of aggregating collected data for specific individuals and systematically organizing it based on time and content.

[0517] "Means for automatically generating diary-style text" refers to programs or algorithms for creating diaries in natural language based on integrated and organized data.

[0518] "User-specific online portal or software" means a website or application that a User can access and use to view the diary entries that the User has created.

[0519] The "notification means" is a system for notifying the user of the contents of the created diary in real time.

[0520] This invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system uses the following hardware and software.

[0521] System configuration

[0522] Server: The server periodically collects the following data from various data sources within the facility:

[0523] Curriculum data: Collected from tablet devices within the facility. Example: "9:00 - 10:00 Gymnastics time."

[0524] Meal data: Collected from the meal management system. Example: "12:00 - 12:30 Lunch: Curry rice"

[0525] Location information: Collected from GPS and Wi-Fi tracking systems. Example: "10:00 Playroom"

[0526] Image data: collected from the camera system within the facility. Example: "Photo of gymnastics at 9:15"

[0527] Technologies used and data processing

[0528] The server collects, aggregates, and organizes data using the following technologies:

[0529] Data integration technology: Collected data is mapped to specific individuals and organized chronologically based on timestamps.

[0530] Facial recognition technology: Using technologies such as OpenCV and Amazon Rekognition, we identify and extract the faces of specific people from image data.

[0531] Generative AI model: Using natural language generation models such as GPT-3, diary-style text is automatically generated based on the integrated and organized data.

[0532] Specific processing examples

[0533] The server generates a diary like the one below based on the integrated and organized data.

[0534] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0535] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0536] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0537] Prompt Sentence Examples

[0538] An example of a prompt sentence to input to the generative AI model is as follows:

[0539] "We did exercises from 9:00 to 10:00. After that, we played in the playroom from 10:00. We had lunch from 12:00. The menu was curry rice."

[0540] The server stores the diary thus generated in a user-specific online portal or software, and the user can view the diary using a terminal.

[0541] This system allows users to grasp detailed information about a specific person's daily activities in real time, and provides a diary with detailed timelines and photos, giving users a sense of security.

[0542] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0543] Step 1: Collect data

[0544] The server acquires curriculum data from tablet devices within the facility. Activity details and time period information entered on the device is sent to the server, which stores this in a database. The server also collects meal data from the meal management system. It periodically receives location information from the facility's GPS and Wi-Fi tracking systems, and finally acquires image data from the camera system. Specifically, it sends API requests to each data source and stores the data obtained as a response.

[0545] Input: Curriculum data from tablet devices, meal data from the meal management system, location information from GPS and Wi-Fi tracking systems, image data from the camera system

[0546] Output: Various data stored on the server

[0547] Step 2: Consolidate and organize your data

[0548] The server maps the various collected data to specific individuals and organizes them based on timestamps. Specifically, it combines data based on the individual ID and timestamp assigned to each data item to create a daily activity profile for each individual. It uses facial recognition technology to identify the faces of specific individuals from image data and cuts out those areas. Specifically, it uses a facial recognition algorithm to detect the faces of specific individuals from photos and then processes the images.

[0549] Input: Various data stored on the server (curriculum data, meal data, location information, image data)

[0550] Output: A consolidated and organized dataset for each person.

[0551] Step 3: Diary text generation

[0552] The server uses a generative AI model to automatically generate diary-style sentences based on the integrated and organized data. Specifically, it formats the prompt sentences and inputs them into a generative AI model (e.g., GPT-3). The model generates natural sentences based on the input prompt sentences and outputs them as diary entries. Specifically, it retrieves the organized data from the database, converts them into prompt sentences, sends them to the model, retrieves the generated sentences, and saves them back into the database.

[0553] Input: Consolidated and organized data set for each person, prompt statement

[0554] Output: Generated diary sentences

[0555] Step 4: Save and share your diary

[0556] The server stores the automatically generated diary entries in an online portal or software dedicated to the user. Specifically, the generated diary entries are stored in a database of a portal or application corresponding to each user, and are accessible to the user. The user can view the diary entries by logging in to the online portal or application using a terminal. Specifically, the server performs user authentication, retrieves the corresponding diary data from the cloud storage or database, and displays it.

[0557] Input: Generated diary sentence, user access request

[0558] Output: Diary content provided to the user

[0559] (Application example 1)

[0560] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0561] The goal of this system is to record the activities and situations of specific individuals in facilities or brick-and-mortar stores in detail, and then generate diary-style text based on that information, allowing guardians and administrators to understand the daily routine and status of those individuals. However, existing systems often require manual collection and organization of data, which is time-consuming and labor-intensive, and has limited accuracy. Furthermore, it is difficult to generate natural-sounding text based on this data.

[0562] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0563] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within a facility, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, means for collecting job data, meal data, location information, and photo data within a physical store, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to an online portal or application dedicated to the store manager. This makes it possible to automatically collect and organize detailed activity records of specific individuals at a facility or physical store, and further generate and provide natural diary-style text based on the records.

[0564] "Institutional curriculum data" refers to information about planned activities and schedules within an institution.

[0565] "Meal data" is information about meal times, contents, and menus.

[0566] "Location information" is information that indicates where a specific person or employee is located within a facility or physical store.

[0567] "Photo data" refers to image data taken within a facility or physical store.

[0568] "Job data" is information about what job a particular employee performs at what time.

[0569] "Means for integrating and organizing for specific individuals" refers to methods or technologies for associating collected data with specific individuals and managing them in a unified manner.

[0570] "Means for automatically generating diary-style text" is a technology that generates natural-looking text based on collected and organized data.

[0571] A "user-specific online portal or application" is a dedicated website or mobile application that can be accessed by a specific user.

[0572] "Means for integrating and organizing by employee" refers to methods and technologies for associating collected data with specific employees and managing them centrally.

[0573] "Store Manager Exclusive Online Portal or Application" means a dedicated website or mobile application accessible by store managers.

[0574] "Facial recognition technology" is a technology that identifies the face of a specific person from image data and extracts that part.

[0575] This invention is a system for automatically generating a diary for a specific person in a facility or a physical store. This system is mainly composed of three elements: a server, a terminal, and a user.

[0576] System hardware and software configuration

[0577] Hardware:

[0578] Smartphones, tablets, GPS sensors, Wi-Fi tracking systems, cameras, and servers

[0579] software:

[0580] Job management systems, meal management systems, facial recognition technology, generative AI models, online portals, or mobile applications

[0581] Data collection

[0582] The server collects the following data:

[0583] Curriculum data within a facility, job data within a physical store (e.g., "9:00 - 10:00 Stocking inventory").

[0584] Meal data from a meal management system (e.g., "12:00 - 12:30 Lunch: Sandwich").

[0585] Location information from GPS or Wi-Fi tracking systems (e.g., "10:00, Area B inside the store").

[0586] Photo data from in-store camera systems (e.g., "Photo taken at 9:15 while organizing merchandise").

[0587] Data Integration and Cleansing

[0588] The server aggregates the collected data for specific individuals or employees and organizes it based on time information. For example, it compiles product sorting data, location information, and photo data from the 9:00-10:00 time period. It then uses facial recognition technology to extract images of specific individuals from the photo data.

[0589] Diary text generation

[0590] The server uses a generative AI model to automatically generate natural-sounding sentences based on the integrated and organized data. Below is an example of a prompt sentence to be input to the generative AI model.

[0591] Prompt Sentence Examples

[0592] markdown

[0593] Activity Record

[0594] 9:00 - 10:00: Sorting products

[0595] 10:00 - 11:00: Area B

[0596] meal

[0597] 12:00 - 12:30: Sandwiches

[0598] Location information

[0599] 10:00: Area B inside the store

[0600] photograph

[0601] 9:15: Photos of the product being sorted

[0602] Diary generation

[0603] Use this information to generate a business diary like the one below.

[0604] diary:

[0605] Diary provision

[0606] The automatically generated diary is provided in the following ways:

[0607] Your own online portal or application:

[0608] The automatically generated diary is stored on a portal site exclusively for parents and guardians.

[0609] Additionally, specific employee diaries are stored in an online portal or application dedicated to store managers.

[0610] Specific examples

[0611] For example, an employee's diary in a physical store is generated as follows:

[0612] 9:00 AM: "Today, we started sorting the items from 9:00 AM. As you can see in the photos, we worked carefully."

[0613] 10:00 AM: "At 10:00, we made some layout adjustments in Area B of the store."

[0614] 12:00 PM: "By 12:00 I had a delicious lunch sandwich."

[0615] This completes the description of the embodiment of the present invention. This system automatically collects and organizes detailed activity records of specific individuals at facilities or brick-and-mortar stores, and then generates and provides natural diary-style text based on these records.

[0616] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0617] Step 1: Collect data

[0618] The server receives curriculum data from tablet devices and sensors within the facility. For example, the server obtains data on the facility's activity times and content. Next, it receives meal data from the meal management system, obtaining information on meal times and menus. It also periodically receives location information from GPS and Wi-Fi tracking systems to identify the activity locations of specific individuals. It also collects photo data at specific times from the facility's camera system. The input is data from each management system and sensor, and the output is a series of unorganized data.

[0619] Step 2: Consolidate and organize your data

[0620] The server maps the collected data to specific individuals and organizes the data based on time information. The server unifies each collected item (curriculum, meals, location, photos) based on a daily timeline to generate a dataset for each specific individual. Photo information is supplemented by using facial recognition technology to extract the faces of specific individuals from the photo data. The input is the data collected in step 1, and the output is the integrated and organized data.

[0621] Step 3: Diary text generation

[0622] The server automatically generates diary-style text based on the integrated and organized data using a generative AI model. Here, the server passes the following prompt sentence to the generative AI model to generate the text:

[0623] Prompt Sentence Examples

[0624] markdown

[0625] Activity Record

[0626] 9:00 - 10:00: Sorting products

[0627] 10:00 - 11:00: Area B

[0628] meal

[0629] 12:00 - 12:30: Sandwiches

[0630] Location information

[0631] 10:00: Area B inside the store

[0632] photograph

[0633] 9:15: Photos of the product being sorted

[0634] Diary generation

[0635] Use this information to generate a business diary like the one below.

[0636] diary:

[0637] The input is the data organized in step 2, and the output is smartly organized diary entries.

[0638] Step 4: Save and share your diary

[0639] The server stores the automatically generated diary entry in a user-specific online portal or application. Users can view their diary entries by logging in to the online portal or application using their own devices. The input is the diary entry generated in step 3, and the output is the diary entry saved in a form accessible to the user. Specifically, the server associates the diary entry with a specific user account and stores it in a database.

[0640] The above are the specific processing steps of the system. This series of processes makes it possible to automatically generate a detailed diary of a specific person at a facility or physical store and provide it to the user.

[0641] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0642] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and has the function of recognizing the user's emotions and adjusting the content. This system is composed of elements such as a server, a terminal, and a user.

[0643] System configuration

[0644] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[0645] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[0646] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[0647] Additional system configuration

[0648] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the contents of the diary and the timing of notifications.

[0649] Program processing flow

[0650] 1. Data Collection:

[0651] The server receives curriculum data from tablet devices within the facility and records the time and content of activities.

[0652] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0653] The server receives meal data from the facility's meal management system and records the menu of meals provided and the time of consumption.

[0654] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0655] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific individuals.

[0656] Example: The location information "10:00 Playroom" is received.

[0657] The server periodically receives photographic data from a camera system within the facility and visually records some of the activity.

[0658] Example: "9:15 Photo of gymnastics" is received.

[0659] 2. Data integration and organization:

[0660] The server maps the collected data to specific individuals and organizes it into a single timeline based on time information.

[0661] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0662] The server uses facial recognition technology to cut out images of specific people from the photo data, making it easier to identify them.

[0663] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0664] 3. Diary text generation:

[0665] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[0666] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for lunch time, the sentence generated is "We ate curry rice deliciously at 12:00."

[0667] 4. Emotional engine regulation:

[0668] The server analyzes the user's past reactions and feedback and tailors the generated diary to the user's emotions. For example, if the user expresses positive emotions toward a particular activity, similar activities will be highlighted.

[0669] For example, if a user responds "I like gymnastics class," the content is described in detail.

[0670] 5. Completion and submission of diary:

[0671] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[0672] Example: The generated diary is saved on a portal site for parents only.

[0673] Users can use their devices to log into an online portal or application to view the diary, in the process allowing them to see details of their family's day.

[0674] Example: A parent checks what's happening today on an app on their smartphone.

[0675] 6. Notice:

[0676] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[0677] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0678] This makes it easier for family members to understand the daily life of a specific person at the facility, giving them a sense of security.In addition, the introduction of an emotion engine makes it possible to provide optimal information to users.

[0679] The processing flow will be explained below.

[0680] Step 1: Collect data

[0681] The server receives curriculum data from tablet devices in the facility in a timely manner, recording the time and content of activities.

[0682] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0683] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[0684] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0685] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[0686] Example: The location information "10:00 Playroom" is received.

[0687] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[0688] Example: "9:15 Photo of gymnastics" is received.

[0689] Step 2: Consolidate and organize your data

[0690] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[0691] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0692] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[0693] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0694] Step 3: Diary text generation

[0695] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[0696] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for mealtimes, it is "We ate curry rice deliciously at 12:00."

[0697] Step 4: Emotional Engine Adjustment

[0698] The server analyzes the diary entries generated based on the user's past reactions and feedback, and adjusts the diary entries based on the user's emotions. For example, activities that have generated positive reactions will be described in more detail.

[0699] For example, if a user responds "I like gymnastics class," the content is described in detail.

[0700] Step 5: Complete and submit your diary

[0701] The server stores the automatically generated diary in a user-specific online portal or application, allowing the user to view the diary at any time.

[0702] Example: The generated diary is saved on a portal site for parents only.

[0703] Users use their devices to log into an online portal or application and view the diary, a process that allows users to see details of their family member's day at the facility.

[0704] Example: A parent checks what's happening today on an app on their smartphone.

[0705] Step 6: Notification

[0706] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[0707] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0708] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[0709] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[0710] Example 2

[0711] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0712] In conventional facility record-keeping systems, a detailed understanding of a specific person's daily life required manual input and organization of large amounts of data. Furthermore, it was difficult to provide information that took into account the user's emotions, making it difficult to meet individual needs. The present invention aims to solve these problems by providing a system that automatically generates a diary for a specific person and adjusts the content based on the user's emotions.

[0713] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating natural language sentences using a generative AI model based on the integrated and organized data, means for providing the automatically generated diary to a user-specific online portal or application, and means for adjusting the content of the diary and notifications based on the user's emotions. This makes it possible to efficiently and in detail understand the daily life of a specific person and provide optimal information according to the user's emotions.

[0714] "Institutional curriculum data" refers to information about specific activities or programs within an institution, including, for example, schedule information for exercise periods and study periods.

[0715] "Meal data" refers to information regarding the menu and time of meals served within the facility.

[0716] "Location information" refers to information about the location and movement routes of a particular person within a facility, and is obtained from GPS and Wi-Fi tracking systems.

[0717] "Photo data" refers to image data captured by a camera system within the facility, and is used to visually record activities, etc.

[0718] "Means of integration and organization" refers to methods and technologies for mapping multiple types of collected data to specific individuals and arranging them in chronological order.

[0719] A "generative AI model" refers to an artificial intelligence technology that automatically generates natural language sentences based on given data.

[0720] "Means for automatically generating natural language text" refers to a method that uses a generative AI model to generate human-readable text from data.

[0721] "Online Portal" means a website or application that a user can access via the Internet and where the diary can be viewed.

[0722] "User" refers primarily to a person's guardian or family member, who views the diary through an online portal or application.

[0723] "Means for adjusting the content of diary entries and notifications based on emotions" refers to methods and technologies for analyzing a user's past reactions and feedback and optimizing the content of the diary entries and notifications generated based on that.

[0724] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and adjusts the content by recognizing the user's emotions. This system is composed of elements such as a server, a terminal, and a user.

[0725] server

[0726] The server collects data from tablets, meal management systems, GPS and Wi-Fi tracking systems, and camera systems within the facility. Specifically, it works as follows:

[0727] 1. Curriculum data collection

[0728] The server receives and records the curriculum data entered by facility staff on tablet devices. For example, if a staff member enters data such as "9:00 - 10:00 gymnastics time," the server records this data in the specified format.

[0729] 2. Collection of dietary data

[0730] The server receives and records meal menus and meal times from the facility's meal management system. For example, if data such as "12:00 - 12:30 Lunch: Curry rice" is sent, the server automatically recognizes this data and stores it in the database.

[0731] 3. Collection of location information

[0732] It periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific people. For example, the server polls location information every 10 minutes and receives and stores data such as "10:00 Playroom."

[0733] 4. Photo data collection

[0734] The system periodically receives photo data from the camera system within the facility and visually records some of the activities. For example, "Photo of gymnastics at 9:15" is sent from the camera system, and the server stores this as image data.

[0735] Terminal

[0736] The devices can be used by staff and parents within the facility to input and view data. For example, staff can input data in real time using tablet devices.

[0737] User

[0738] Users are primarily guardians or family members of a particular person, and can view the diary created through online portals or applications. For example, a parent can use a smartphone app to check what happened that day.

[0739] Generating diary entries using a generative AI model

[0740] The server uses a generative AI model based on the collected and organized data to automatically generate natural-sounding sentences. For example, for morning activities, the following prompt sentences can be input into the generative AI model to generate natural-language sentences:

[0741] Example prompt sentence:

[0742] "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Gymnastics"

[0743] Example of generated sentence:

[0744] "Today, we started exercises at 9:00. As you can see in the photo, we moved our bodies energetically. At 12:00, we ate curry rice with gusto."

[0745] Emotional engine regulation

[0746] The server analyzes the user's past reactions and feedback and adjusts the diary entries to reflect the user's emotions. For example, if the user responds by saying, "I like gymnastics class," the diary entry will be adjusted to include more details about that.

[0747] Diary provision and notifications

[0748] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing the user to access them at any time. When a new diary entry is created, the server notifies the user at the appropriate time. For example, a notification that "a new diary entry has been updated" is sent to the parent's smartphone in real time.

[0749] This system makes it possible to efficiently grasp the daily life of a specific person in a facility, and to provide optimal information according to the user's emotions.

[0750] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0751] Step 1: Collect data

[0752] The server collects curriculum data entered from tablet devices in the facility, meal data from the facility's meal management system, location information from the GPS and Wi-Fi tracking system, and photo data from the camera system. Based on the entered data, the server converts this data into an appropriate format and stores it in a database in the specified format.

[0753] Specific operation: When a staff member enters data such as "9:00 - 10:00 Exercise time" into a tablet device, the server receives this data and records it in the database. Meal data such as "12:00 - 12:30 Lunch: Curry rice" is automatically acquired and saved.

[0754] Step 2: Consolidate and organize your data

[0755] The server categorizes the collected data by specific person, integrates it based on time information, and organizes it into a single timeline. In this process, facial recognition technology is used to extract images of specific people from the photo data, making mapping easier.

[0756] Input: curriculum data, meal data, location information, photo data

[0757] Output: Timeline of a specific person

[0758] Specific operation: For example, the data for morning exercise time is integrated as "9:00 - 10:00 exercise time" and the location information is integrated as "10:00 playroom," and the face of a specific person is cut out from the photo data and saved.

[0759] Step 3: Diary text generation

[0760] The server automatically generates natural language sentences using a generative AI model based on the integrated and organized data. A prompt sentence is set and input into the generative AI model to generate the sentence.

[0761] Input: Integrated timeline data

[0762] Output: Diary text in natural language

[0763] Specific behavior: For example, the prompt sentence "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Doing gymnastics" is input into the generative AI model, and the model generates a sentence such as "Today, gymnastics started at 9:00. As you can see in the photo, the child moved energetically. At 12:00, the child ate curry rice with gusto."

[0764] Step 4: Emotional Engine Adjustment

[0765] The server analyzes the user's past reactions and feedback and adjusts the generated diary to match the user's emotions. For activities that have generated positive reactions, the server adjusts the diary by adding more detailed descriptions of the activities.

[0766] Input: Generated diary entries, user emotion data

[0767] Output: Adjusted diary entry

[0768] Specific action: For example, if the user provides feedback such as "I like gymnastics class," modify the sentence to describe the gymnastics section in more detail.

[0769] Step 5: Provide a diary

[0770] The server stores the automatically generated and adjusted diary in a user-specific online portal or application, making it accessible to the user.

[0771] Input: Adjusted diary entry

[0772] Output: Save to User Portal

[0773] Specific operation: The generated diary entries are saved in the "Parent Portal" folder and can be viewed when the user accesses the online portal.

[0774] Step 6: Notification

[0775] When a new diary entry is created, the server determines the appropriate timing for notification and sends the notification to the user.

[0776] Input: New diary entry

[0777] Output: Information message

[0778] Specific operation: When the diary is completed, the server generates a notification message saying "A new diary entry has been updated" and sends a push notification to the parent's smartphone in real time.

[0779] In this way, family members can efficiently and in detail understand the daily life of a particular person who spends time at the facility, and optimal information can be provided according to the user's emotions.

[0780] (Application example 2)

[0781] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0782] In recent years, there has been a demand for systems that automatically generate diaries for specific individuals within a facility. However, conventional systems have had difficulty integrating collected data and automatically generating natural-sounding sentences. Furthermore, the generated diaries are not adjusted to match the user's emotions, which prevents the system from providing users with information that satisfies them. This has led to a decline in interest and trust when users view the diaries. Furthermore, the timing of notifications is not adjusted based on the user's emotions, resulting in an inconsistent user experience.

[0783] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0784] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for specific individuals, means for generating natural-sounding sentences using a generative AI model, means for adjusting the content of the generated diary based on the user's emotions, means for collecting user feedback and recognizing emotions, and means for providing the automatically generated diary to a user-specific online portal or application. This makes it possible to automatically generate natural-sounding sentences from the collected data and adjust the content of the diary based on the user's emotions. Furthermore, facial recognition technology can be used to crop images of specific individuals as needed, and notifications to the user can be sent at appropriate times, improving the user experience.

[0785] "Curriculum data" refers to data that records the schedule and content of activities, classes, and events conducted within the facility.

[0786] "Meal data" refers to data that records the menu and time of meals served within the facility.

[0787] "Location information" refers to GPS and Wi-Fi tracking data that indicates where a particular person is within a facility.

[0788] "Photo data" is image data that visually records the activities of a specific person within a facility.

[0789] A "generative AI model" is an artificial intelligence model that generates natural-looking sentences based on collected data.

[0790] The "emotion engine" is a technology that analyzes users' past reactions and feedback and adjusts the content of the generated diary.

[0791] An "online portal" is a website or application that users can access through the Internet.

[0792] A "smartphone" is a portable electronic device that can run sophisticated applications in addition to telephone functions.

[0793] A "head-mounted display" is a display device that is worn on the user's head.

[0794] "Facial recognition technology" is a technology for identifying and cutting out the face of a specific person from photographic data.

[0795] A "notification system" is a system for notifying users of new information and updates.

[0796] This system automatically generates detailed diaries about specific people in a facility and adjusts the contents of the diaries by recognizing the user's emotions. This system is mainly composed of a server, terminals, and users.

[0797] server

[0798] The server has the following functions:

[0799] 1. Data Collection:

[0800] The server collects curriculum data, meal data, location information, and photo data obtained from sensors in the facility and staff input. This data is periodically acquired from tablets, GPS, Wi-Fi tracking systems, and camera systems in the facility.

[0801] For example, the data includes specific information such as morning activity time "9:00-10:00" for exercise, lunch "12:00-12:30 curry rice," location information "10:00 playroom," and photo data "9:15 photo taken during exercise."

[0802] 2. Data integration and organization:

[0803] The server maps the collected data to specific individuals and organizes them by time, for example, listing activity data, location information, and photo data from the time period "9:00-10:00."

[0804] 3. Diary text generation:

[0805] The server generates natural-sounding sentences using a generative AI model (e.g., OpenAI's GPT-4) based on the consolidated and organized data. At this stage, the following prompt sentences are used:

[0806] Generate a customer diary using the information below.

[0807] Time: 2023-10-10 15:30:00

[0808] Location: fitting room

[0809] Activity: Trying on clothes

[0810] Emotion: Positive

[0811] This generates sentences such as, "I tried on clothes in the fitting room at 3:30 p.m. on October 10, 2023. It was really fun!"

[0812] 4. Emotional engine regulation:

[0813] The server analyzes the user's feedback and adjusts the generated diary entries based on their emotions. For example, if the user responds, "I like trying on clothes," the server will detail that experience.

[0814] 5. Diary provision:

[0815] The automatically generated diary is provided to the user through an online portal or application, allowing the user to check the diary at any time.

[0816] 6. Notification System:

[0817] When a new diary entry is created, the server notifies the user at an appropriate time based on the user's emotions, allowing the user to know in real time that new information is available.

[0818] Terminal

[0819] The terminals are used by staff and users in the facility for data entry and viewing, and include tablet devices and smartphones.

[0820] User

[0821] Users are primarily parents or family members who check the diary provided through an online portal or application. Users can log in using their own devices and view the contents of the diary. For example, they can check "Today's Events" on a smartphone app.

[0822] In this way, the present invention is a system that efficiently collects and organizes data within a facility, creates natural diary entries using a generative AI model, and provides appropriate information tailored to the user's emotions, thereby improving the user experience.

[0823] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0824] Step 1:

[0825] The server collects curriculum data, meal data, location information, and photo data from tablet devices and sensors within the facility. Specifically, each device within the facility sends its data to the server, which receives and stores it. Inputs include, for example, curriculum data such as "9:00 - 10:00 gymnastics time," meal data such as "12:00 - 12:30 curry rice," location information such as "10:00 playroom," and photo data such as "9:15 photo taken during gymnastics." All of this data is then stored in the server's database as output.

[0826] Step 2:

[0827] The server integrates and organizes the collected data for each specific person. Specifically, it filters the data in the database for each specific person, sorts them chronologically, and maps them as a single timeline. The input includes the data collected in step 1, and the output generates timeline data in which data for each specific person is integrated.

[0828] Step 3:

[0829] The server uses a generative AI model to generate diary-style text based on the integrated and organized data. Specifically, the integrated timeline data is input as a prompt sentence and passed to the generative AI model. An example of a prompt sentence is, "Generate a customer diary based on the following information: - Time: 2023-10-10 15:30:00 - Location: Dressing room - Activity: Trying on clothes - Emotion: Positive." The generated diary-style text is obtained as the output.

[0830] Step 4:

[0831] The server recognizes emotions based on user feedback and adjusts the content of the generated diary. Specifically, it analyzes past feedback data from users and uses the results to revise the diary content. The input includes the generated diary-style text and the user's feedback data. For example, if a user provides feedback such as "I like trying on clothes," the text is adjusted to emphasize that content. The output is an adjusted diary-style text.

[0832] Step 5:

[0833] The server provides the automatically generated diary to a user-specific online portal or application, specifically by linking the completed diary to a specific user's account, storing it, and making it accessible. The input includes the adjusted diary text, and the output is the diary stored within the user's portal site or application.

[0834] Step 6:

[0835] The server notifies the user that a new diary entry has been created. Specifically, it uses a cloud notification service (e.g., Firebase Cloud Messaging) to send a notification to the smartphone. The input includes the existence information of the created diary entry, and the output is a notification that "A new diary entry has been updated" is displayed on the user's smartphone.

[0836] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0837] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0838] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0839] [Third embodiment]

[0840] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0841] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0842] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0843] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0844] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0845] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0846] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0847] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0848] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0849] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0850] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0851] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0852] The present invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system is implemented as follows.

[0853] System configuration

[0854] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[0855] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[0856] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[0857] Program processing flow

[0858] 1. Data Collection:

[0859] The server receives curriculum data (e.g., activity times and content) from tablet devices within the facility.

[0860] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0861] The server receives meal data (e.g., meal times and menus) from the facility's meal management system.

[0862] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0863] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems.

[0864] Example: The location information "10:00 Playroom" is received.

[0865] The server periodically receives photographic data from the camera system within the facility.

[0866] Example: "9:15 Photo of gymnastics" is received.

[0867] 2. Data integration and organization:

[0868] The server maps the collected data to specific people and organizes the data based on time information.

[0869] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0870] The server uses facial recognition technology to cut out images of specific people from the photo data.

[0871] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0872] 3. Diary text generation:

[0873] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[0874] Example: The following sentence is generated: "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies. After that, we played in the playroom and had curry rice for lunch."

[0875] 4. Completion and submission of diary:

[0876] The server stores the automatically generated diary in a user-specific online portal or application.

[0877] Example: The generated diary is saved on a portal site for parents only.

[0878] The user uses the terminal to log in to an online portal or application and view the diary.

[0879] Example: A parent checks what's happening today on an app on their smartphone.

[0880] Specific examples

[0881] The following diary is generated as an example of a child's day at the facility.

[0882] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0883] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0884] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0885] This allows family members to understand the daily life of a particular person at the facility and gives them a sense of security.

[0886] The processing flow will be explained below.

[0887] Step 1: Collect data

[0888] The server receives curriculum data from tablet devices within the facility, which records the time and content of activities.

[0889] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[0890] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[0891] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[0892] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[0893] Example: The location information "10:00 Playroom" is received.

[0894] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[0895] Example: "9:15 Photo of gymnastics" is received.

[0896] Step 2: Consolidate and organize your data

[0897] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[0898] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[0899] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[0900] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[0901] Step 3: Diary text generation

[0902] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[0903] For example, the sentence generated for morning activities is "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies.", and for mealtimes, the sentence generated is "We had curry rice for lunch."

[0904] Step 4: Complete and submit your diary

[0905] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[0906] Example: The generated diary is saved on a portal site for parents only.

[0907] Users can use their devices to log into an online portal or application to view the diary, a process that allows users to see details of their family's day.

[0908] Example: A parent checks what's happening today on an app on their smartphone.

[0909] Step 5: Notification

[0910] The server sends a notification to the user when a new diary entry is created, allowing the user to know in real time that new information is available.

[0911] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[0912] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[0913] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[0914] Example 1

[0915] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0916] There is a problem that it is difficult for guardians and family members to keep track of the daily activities of specific individuals in the facility. In particular, the lack of detailed and timely information makes it difficult to grasp the situation, which often leads to anxiety.

[0917] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0918] In this invention, the server includes means for collecting curriculum data, meal data, location information, and image data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to a user-specific online portal or software, thereby enabling the user to grasp detailed daily activity information for each specific person in real time.

[0919] "Curriculum data" refers to information about the content and time of activities taking place within the facility.

[0920] "Meal data" refers to information about meal times and menus served within the facility.

[0921] "Location information" is data that indicates where a particular person is located within a facility.

[0922] "Image data" refers to information about photos and videos taken by the camera system within the facility.

[0923] "Facial recognition technology" is a technology that identifies the face of a specific person from image or video data.

[0924] "Means of integration and organization" refers to the process of aggregating collected data for specific individuals and systematically organizing it based on time and content.

[0925] "Means for automatically generating diary-style text" refers to programs or algorithms for creating diaries in natural language based on integrated and organized data.

[0926] "User-specific online portal or software" means a website or application that a User can access and use to view the diary entries that the User has created.

[0927] The "notification means" is a system for notifying the user of the contents of the created diary in real time.

[0928] This invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system uses the following hardware and software.

[0929] System configuration

[0930] Server: The server periodically collects the following data from various data sources within the facility:

[0931] Curriculum data: Collected from tablet devices within the facility. Example: "9:00 - 10:00 Gymnastics time."

[0932] Meal data: Collected from the meal management system. Example: "12:00 - 12:30 Lunch: Curry rice"

[0933] Location information: Collected from GPS and Wi-Fi tracking systems. Example: "10:00 Playroom"

[0934] Image data: collected from the camera system within the facility. Example: "Photo of gymnastics at 9:15"

[0935] Technologies used and data processing

[0936] The server collects, aggregates, and organizes data using the following technologies:

[0937] Data integration technology: Collected data is mapped to specific individuals and organized chronologically based on timestamps.

[0938] Facial recognition technology: Using technologies such as OpenCV and Amazon Rekognition, we identify and extract the faces of specific people from image data.

[0939] Generative AI model: Using natural language generation models such as GPT-3, diary-style text is automatically generated based on the integrated and organized data.

[0940] Specific processing examples

[0941] The server generates a diary like the one below based on the integrated and organized data.

[0942] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[0943] 10:00 AM: "I played with my friends in the playroom at 10:00."

[0944] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[0945] Prompt Sentence Examples

[0946] An example of a prompt sentence to input to the generative AI model is as follows:

[0947] "We did exercises from 9:00 to 10:00. After that, we played in the playroom from 10:00. We had lunch from 12:00. The menu was curry rice."

[0948] The server stores the diary thus generated in a user-specific online portal or software, and the user can view the diary using a terminal.

[0949] This system allows users to grasp detailed information about a specific person's daily activities in real time, and provides a diary with detailed timelines and photos, giving users a sense of security.

[0950] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0951] Step 1: Collect data

[0952] The server acquires curriculum data from tablet devices within the facility. Activity details and time period information entered on the device is sent to the server, which stores this in a database. The server also collects meal data from the meal management system. It periodically receives location information from the facility's GPS and Wi-Fi tracking systems, and finally acquires image data from the camera system. Specifically, it sends API requests to each data source and stores the data obtained as a response.

[0953] Input: Curriculum data from tablet devices, meal data from the meal management system, location information from GPS and Wi-Fi tracking systems, image data from the camera system

[0954] Output: Various data stored on the server

[0955] Step 2: Consolidate and organize your data

[0956] The server maps the various collected data to specific individuals and organizes them based on timestamps. Specifically, it combines data based on the individual ID and timestamp assigned to each data item to create a daily activity profile for each individual. It uses facial recognition technology to identify the faces of specific individuals from image data and cuts out those areas. Specifically, it uses a facial recognition algorithm to detect the faces of specific individuals from photos and then processes the images.

[0957] Input: Various data stored on the server (curriculum data, meal data, location information, image data)

[0958] Output: A consolidated and organized dataset for each person.

[0959] Step 3: Diary text generation

[0960] The server uses a generative AI model to automatically generate diary-style sentences based on the integrated and organized data. Specifically, it formats the prompt sentences and inputs them into a generative AI model (e.g., GPT-3). The model generates natural sentences based on the input prompt sentences and outputs them as diary entries. Specifically, it retrieves the organized data from the database, converts them into prompt sentences, sends them to the model, retrieves the generated sentences, and saves them back into the database.

[0961] Input: Consolidated and organized data set for each person, prompt statement

[0962] Output: Generated diary sentences

[0963] Step 4: Save and share your diary

[0964] The server stores the automatically generated diary entries in an online portal or software dedicated to the user. Specifically, the generated diary entries are stored in a database of a portal or application corresponding to each user, and are accessible to the user. The user can view the diary entries by logging in to the online portal or application using a terminal. Specifically, the server performs user authentication, retrieves the corresponding diary data from the cloud storage or database, and displays it.

[0965] Input: Generated diary sentence, user access request

[0966] Output: Diary content provided to the user

[0967] (Application example 1)

[0968] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0969] The goal of this system is to record the activities and situations of specific individuals in facilities or brick-and-mortar stores in detail, and then generate diary-style text based on that information, allowing guardians and administrators to understand the daily routine and status of those individuals. However, existing systems often require manual collection and organization of data, which is time-consuming and labor-intensive, and has limited accuracy. Furthermore, it is difficult to generate natural-sounding text based on this data.

[0970] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0971] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within a facility, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, means for collecting job data, meal data, location information, and photo data within a physical store, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to an online portal or application dedicated to the store manager. This makes it possible to automatically collect and organize detailed activity records of specific individuals at a facility or physical store, and further generate and provide natural diary-style text based on the records.

[0972] "Institutional curriculum data" refers to information about planned activities and schedules within an institution.

[0973] "Meal data" is information about meal times, contents, and menus.

[0974] "Location information" is information that indicates where a specific person or employee is located within a facility or physical store.

[0975] "Photo data" refers to image data taken within a facility or physical store.

[0976] "Job data" is information about what job a particular employee performs at what time.

[0977] "Means for integrating and organizing for specific individuals" refers to methods or technologies for associating collected data with specific individuals and managing them in a unified manner.

[0978] "Means for automatically generating diary-style text" is a technology that generates natural-looking text based on collected and organized data.

[0979] A "user-specific online portal or application" is a dedicated website or mobile application that can be accessed by a specific user.

[0980] "Means for integrating and organizing by employee" refers to methods and technologies for associating collected data with specific employees and managing them centrally.

[0981] "Store Manager Exclusive Online Portal or Application" means a dedicated website or mobile application accessible by store managers.

[0982] "Facial recognition technology" is a technology that identifies the face of a specific person from image data and extracts that part.

[0983] This invention is a system for automatically generating a diary for a specific person in a facility or a physical store. This system is mainly composed of three elements: a server, a terminal, and a user.

[0984] System hardware and software configuration

[0985] Hardware:

[0986] Smartphones, tablets, GPS sensors, Wi-Fi tracking systems, cameras, and servers

[0987] software:

[0988] Job management systems, meal management systems, facial recognition technology, generative AI models, online portals, or mobile applications

[0989] Data collection

[0990] The server collects the following data:

[0991] Curriculum data within a facility, job data within a physical store (e.g., "9:00 - 10:00 Stocking inventory").

[0992] Meal data from a meal management system (e.g., "12:00 - 12:30 Lunch: Sandwich").

[0993] Location information from GPS or Wi-Fi tracking systems (e.g., "10:00, Area B inside the store").

[0994] Photo data from in-store camera systems (e.g., "Photo taken at 9:15 while organizing merchandise").

[0995] Data Integration and Cleansing

[0996] The server aggregates the collected data for specific individuals or employees and organizes it based on time information. For example, it compiles product sorting data, location information, and photo data from the 9:00-10:00 time period. It then uses facial recognition technology to extract images of specific individuals from the photo data.

[0997] Diary text generation

[0998] The server uses a generative AI model to automatically generate natural-sounding sentences based on the integrated and organized data. Below is an example of a prompt sentence to be input to the generative AI model.

[0999] Prompt Sentence Examples

[1000] markdown

[1001] Activity Record

[1002] 9:00 - 10:00: Sorting products

[1003] 10:00 - 11:00: Area B

[1004] meal

[1005] 12:00 - 12:30: Sandwiches

[1006] Location information

[1007] 10:00: Area B inside the store

[1008] photograph

[1009] 9:15: Photos of the product being sorted

[1010] Diary generation

[1011] Use this information to generate a business diary like the one below.

[1012] diary:

[1013] Diary provision

[1014] The automatically generated diary is provided in the following ways:

[1015] Your own online portal or application:

[1016] The automatically generated diary is stored on a portal site exclusively for parents and guardians.

[1017] Additionally, specific employee diaries are stored in an online portal or application dedicated to store managers.

[1018] Specific examples

[1019] For example, an employee's diary in a physical store is generated as follows:

[1020] 9:00 AM: "Today, we started sorting the items from 9:00 AM. As you can see in the photos, we worked carefully."

[1021] 10:00 AM: "At 10:00, we made some layout adjustments in Area B of the store."

[1022] 12:00 PM: "By 12:00 I had a delicious lunch sandwich."

[1023] This completes the description of the embodiment of the present invention. This system automatically collects and organizes detailed activity records of specific individuals at facilities or brick-and-mortar stores, and then generates and provides natural diary-style text based on these records.

[1024] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1025] Step 1: Collect data

[1026] The server receives curriculum data from tablet devices and sensors within the facility. For example, the server obtains data on the facility's activity times and content. Next, it receives meal data from the meal management system, obtaining information on meal times and menus. It also periodically receives location information from GPS and Wi-Fi tracking systems to identify the activity locations of specific individuals. It also collects photo data at specific times from the facility's camera system. The input is data from each management system and sensor, and the output is a series of unorganized data.

[1027] Step 2: Consolidate and organize your data

[1028] The server maps the collected data to specific individuals and organizes the data based on time information. The server unifies each collected item (curriculum, meals, location, photos) based on a daily timeline to generate a dataset for each specific individual. Photo information is supplemented by using facial recognition technology to extract the faces of specific individuals from the photo data. The input is the data collected in step 1, and the output is the integrated and organized data.

[1029] Step 3: Diary text generation

[1030] The server automatically generates diary-style text based on the integrated and organized data using a generative AI model. Here, the server passes the following prompt sentence to the generative AI model to generate the text:

[1031] Prompt Sentence Examples

[1032] markdown

[1033] Activity Record

[1034] 9:00 - 10:00: Sorting products

[1035] 10:00 - 11:00: Area B

[1036] meal

[1037] 12:00 - 12:30: Sandwiches

[1038] Location information

[1039] 10:00: Area B inside the store

[1040] photograph

[1041] 9:15: Photos of the product being sorted

[1042] Diary generation

[1043] Use this information to generate a business diary like the one below.

[1044] diary:

[1045] The input is the data organized in step 2, and the output is smartly organized diary entries.

[1046] Step 4: Save and share your diary

[1047] The server stores the automatically generated diary entry in a user-specific online portal or application. Users can view their diary entries by logging in to the online portal or application using their own devices. The input is the diary entry generated in step 3, and the output is the diary entry saved in a form accessible to the user. Specifically, the server associates the diary entry with a specific user account and stores it in a database.

[1048] The above are the specific processing steps of the system. This series of processes makes it possible to automatically generate a detailed diary of a specific person at a facility or physical store and provide it to the user.

[1049] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1050] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and has the function of recognizing the user's emotions and adjusting the content. This system is composed of elements such as a server, a terminal, and a user.

[1051] System configuration

[1052] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[1053] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[1054] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[1055] Additional system configuration

[1056] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the contents of the diary and the timing of notifications.

[1057] Program processing flow

[1058] 1. Data Collection:

[1059] The server receives curriculum data from tablet devices within the facility and records the time and content of activities.

[1060] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1061] The server receives meal data from the facility's meal management system and records the menu of meals provided and the time of consumption.

[1062] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1063] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific individuals.

[1064] Example: The location information "10:00 Playroom" is received.

[1065] The server periodically receives photographic data from a camera system within the facility and visually records some of the activity.

[1066] Example: "9:15 Photo of gymnastics" is received.

[1067] 2. Data integration and organization:

[1068] The server maps the collected data to specific individuals and organizes it into a single timeline based on time information.

[1069] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1070] The server uses facial recognition technology to cut out images of specific people from the photo data, making it easier to identify them.

[1071] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1072] 3. Diary text generation:

[1073] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[1074] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for lunch time, the sentence generated is "We ate curry rice deliciously at 12:00."

[1075] 4. Emotional engine regulation:

[1076] The server analyzes the user's past reactions and feedback and tailors the generated diary to the user's emotions. For example, if the user expresses positive emotions toward a particular activity, similar activities will be highlighted.

[1077] For example, if a user responds "I like gymnastics class," the content is described in detail.

[1078] 5. Completion and submission of diary:

[1079] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[1080] Example: The generated diary is saved on a portal site for parents only.

[1081] Users can use their devices to log into an online portal or application to view the diary, in the process allowing them to see details of their family's day.

[1082] Example: A parent checks what's happening today on an app on their smartphone.

[1083] 6. Notice:

[1084] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[1085] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[1086] This makes it easier for family members to understand the daily life of a specific person at the facility, giving them a sense of security.In addition, the introduction of an emotion engine makes it possible to provide optimal information to users.

[1087] The processing flow will be explained below.

[1088] Step 1: Collect data

[1089] The server receives curriculum data from tablet devices in the facility in a timely manner, recording the time and content of activities.

[1090] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1091] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[1092] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1093] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[1094] Example: The location information "10:00 Playroom" is received.

[1095] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[1096] Example: "9:15 Photo of gymnastics" is received.

[1097] Step 2: Consolidate and organize your data

[1098] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[1099] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1100] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[1101] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1102] Step 3: Diary text generation

[1103] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[1104] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for mealtimes, it is "We ate curry rice deliciously at 12:00."

[1105] Step 4: Emotional Engine Adjustment

[1106] The server analyzes the diary entries generated based on the user's past reactions and feedback, and adjusts the diary entries based on the user's emotions. For example, activities that have generated positive reactions will be described in more detail.

[1107] For example, if a user responds "I like gymnastics class," the content is described in detail.

[1108] Step 5: Complete and submit your diary

[1109] The server stores the automatically generated diary in a user-specific online portal or application, allowing the user to view the diary at any time.

[1110] Example: The generated diary is saved on a portal site for parents only.

[1111] Users use their devices to log into an online portal or application and view the diary, a process that allows users to see details of their family member's day at the facility.

[1112] Example: A parent checks what's happening today on an app on their smartphone.

[1113] Step 6: Notification

[1114] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[1115] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[1116] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[1117] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[1118] Example 2

[1119] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1120] In conventional facility record-keeping systems, a detailed understanding of a specific person's daily life required manual input and organization of large amounts of data. Furthermore, it was difficult to provide information that took into account the user's emotions, making it difficult to meet individual needs. The present invention aims to solve these problems by providing a system that automatically generates a diary for a specific person and adjusts the content based on the user's emotions.

[1121] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating natural language sentences using a generative AI model based on the integrated and organized data, means for providing the automatically generated diary to a user-specific online portal or application, and means for adjusting the content of the diary and notifications based on the user's emotions. This makes it possible to efficiently and in detail understand the daily life of a specific person and provide optimal information according to the user's emotions.

[1122] "Institutional curriculum data" refers to information about specific activities or programs within an institution, including, for example, schedule information for exercise periods and study periods.

[1123] "Meal data" refers to information regarding the menu and time of meals served within the facility.

[1124] "Location information" refers to information about the location and movement routes of a particular person within a facility, and is obtained from GPS and Wi-Fi tracking systems.

[1125] "Photo data" refers to image data captured by a camera system within the facility, and is used to visually record activities, etc.

[1126] "Means of integration and organization" refers to methods and technologies for mapping multiple types of collected data to specific individuals and arranging them in chronological order.

[1127] A "generative AI model" refers to an artificial intelligence technology that automatically generates natural language sentences based on given data.

[1128] "Means for automatically generating natural language text" refers to a method that uses a generative AI model to generate human-readable text from data.

[1129] "Online Portal" means a website or application that a user can access via the Internet and where the diary can be viewed.

[1130] "User" refers primarily to a person's guardian or family member, who views the diary through an online portal or application.

[1131] "Means for adjusting the content of diary entries and notifications based on emotions" refers to methods and technologies for analyzing a user's past reactions and feedback and optimizing the content of the diary entries and notifications generated based on that.

[1132] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and adjusts the content by recognizing the user's emotions. This system is composed of elements such as a server, a terminal, and a user.

[1133] server

[1134] The server collects data from tablets, meal management systems, GPS and Wi-Fi tracking systems, and camera systems within the facility. Specifically, it works as follows:

[1135] 1. Curriculum data collection

[1136] The server receives and records the curriculum data entered by facility staff on tablet devices. For example, if a staff member enters data such as "9:00 - 10:00 gymnastics time," the server records this data in the specified format.

[1137] 2. Collection of dietary data

[1138] The server receives and records meal menus and meal times from the facility's meal management system. For example, if data such as "12:00 - 12:30 Lunch: Curry rice" is sent, the server automatically recognizes this data and stores it in the database.

[1139] 3. Collection of location information

[1140] It periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific people. For example, the server polls location information every 10 minutes and receives and stores data such as "10:00 Playroom."

[1141] 4. Photo data collection

[1142] The system periodically receives photo data from the camera system within the facility and visually records some of the activities. For example, "Photo of gymnastics at 9:15" is sent from the camera system, and the server stores this as image data.

[1143] Terminal

[1144] The devices can be used by staff and parents within the facility to input and view data. For example, staff can input data in real time using tablet devices.

[1145] User

[1146] Users are primarily guardians or family members of a particular person, and can view the diary created through online portals or applications. For example, a parent can use a smartphone app to check what happened that day.

[1147] Generating diary entries using a generative AI model

[1148] The server uses a generative AI model based on the collected and organized data to automatically generate natural-sounding sentences. For example, for morning activities, the following prompt sentences can be input into the generative AI model to generate natural-language sentences:

[1149] Example prompt sentence:

[1150] "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Gymnastics"

[1151] Example of generated sentence:

[1152] "Today, we started exercises at 9:00. As you can see in the photo, we moved our bodies energetically. At 12:00, we ate curry rice with gusto."

[1153] Emotional engine regulation

[1154] The server analyzes the user's past reactions and feedback and adjusts the diary entries to reflect the user's emotions. For example, if the user responds by saying, "I like gymnastics class," the diary entry will be adjusted to include more details about that.

[1155] Diary provision and notifications

[1156] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing the user to access them at any time. When a new diary entry is created, the server notifies the user at the appropriate time. For example, a notification that "a new diary entry has been updated" is sent to the parent's smartphone in real time.

[1157] This system makes it possible to efficiently grasp the daily life of a specific person in a facility, and to provide optimal information according to the user's emotions.

[1158] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1159] Step 1: Collect data

[1160] The server collects curriculum data entered from tablet devices in the facility, meal data from the facility's meal management system, location information from the GPS and Wi-Fi tracking system, and photo data from the camera system. Based on the entered data, the server converts this data into an appropriate format and stores it in a database in the specified format.

[1161] Specific operation: When a staff member enters data such as "9:00 - 10:00 Exercise time" into a tablet device, the server receives this data and records it in the database. Meal data such as "12:00 - 12:30 Lunch: Curry rice" is automatically acquired and saved.

[1162] Step 2: Consolidate and organize your data

[1163] The server categorizes the collected data by specific person, integrates it based on time information, and organizes it into a single timeline. In this process, facial recognition technology is used to extract images of specific people from the photo data, making mapping easier.

[1164] Input: curriculum data, meal data, location information, photo data

[1165] Output: Timeline of a specific person

[1166] Specific operation: For example, the data for morning exercise time is integrated as "9:00 - 10:00 exercise time" and the location information is integrated as "10:00 playroom," and the face of a specific person is cut out from the photo data and saved.

[1167] Step 3: Diary text generation

[1168] The server automatically generates natural language sentences using a generative AI model based on the integrated and organized data. A prompt sentence is set and input into the generative AI model to generate the sentence.

[1169] Input: Integrated timeline data

[1170] Output: Diary text in natural language

[1171] Specific behavior: For example, the prompt sentence "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Doing gymnastics" is input into the generative AI model, and the model generates a sentence such as "Today, gymnastics started at 9:00. As you can see in the photo, the child moved energetically. At 12:00, the child ate curry rice with gusto."

[1172] Step 4: Emotional Engine Adjustment

[1173] The server analyzes the user's past reactions and feedback and adjusts the generated diary to match the user's emotions. For activities that have generated positive reactions, the server adjusts the diary by adding more detailed descriptions of the activities.

[1174] Input: Generated diary entries, user emotion data

[1175] Output: Adjusted diary entry

[1176] Specific action: For example, if the user provides feedback such as "I like gymnastics class," modify the sentence to describe the gymnastics section in more detail.

[1177] Step 5: Provide a diary

[1178] The server stores the automatically generated and adjusted diary in a user-specific online portal or application, making it accessible to the user.

[1179] Input: Adjusted diary entry

[1180] Output: Save to User Portal

[1181] Specific operation: The generated diary entries are saved in the "Parent Portal" folder and can be viewed when the user accesses the online portal.

[1182] Step 6: Notification

[1183] When a new diary entry is created, the server determines the appropriate timing for notification and sends the notification to the user.

[1184] Input: New diary entry

[1185] Output: Information message

[1186] Specific operation: When the diary is completed, the server generates a notification message saying "A new diary entry has been updated" and sends a push notification to the parent's smartphone in real time.

[1187] In this way, family members can efficiently and in detail understand the daily life of a particular person who spends time at the facility, and optimal information can be provided according to the user's emotions.

[1188] (Application example 2)

[1189] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1190] In recent years, there has been a demand for systems that automatically generate diaries for specific individuals within a facility. However, conventional systems have had difficulty integrating collected data and automatically generating natural-sounding sentences. Furthermore, the generated diaries are not adjusted to match the user's emotions, which prevents the system from providing users with information that satisfies them. This has led to a decline in interest and trust when users view the diaries. Furthermore, the timing of notifications is not adjusted based on the user's emotions, resulting in an inconsistent user experience.

[1191] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1192] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for specific individuals, means for generating natural-sounding sentences using a generative AI model, means for adjusting the content of the generated diary based on the user's emotions, means for collecting user feedback and recognizing emotions, and means for providing the automatically generated diary to a user-specific online portal or application. This makes it possible to automatically generate natural-sounding sentences from the collected data and adjust the content of the diary based on the user's emotions. Furthermore, facial recognition technology can be used to crop images of specific individuals as needed, and notifications to the user can be sent at appropriate times, improving the user experience.

[1193] "Curriculum data" refers to data that records the schedule and content of activities, classes, and events conducted within the facility.

[1194] "Meal data" refers to data that records the menu and time of meals served within the facility.

[1195] "Location information" refers to GPS and Wi-Fi tracking data that indicates where a particular person is within a facility.

[1196] "Photo data" is image data that visually records the activities of a specific person within a facility.

[1197] A "generative AI model" is an artificial intelligence model that generates natural-looking sentences based on collected data.

[1198] The "emotion engine" is a technology that analyzes users' past reactions and feedback and adjusts the content of the generated diary.

[1199] An "online portal" is a website or application that users can access through the Internet.

[1200] A "smartphone" is a portable electronic device that can run sophisticated applications in addition to telephone functions.

[1201] A "head-mounted display" is a display device that is worn on the user's head.

[1202] "Facial recognition technology" is a technology for identifying and cutting out the face of a specific person from photographic data.

[1203] A "notification system" is a system for notifying users of new information and updates.

[1204] This system automatically generates detailed diaries about specific people in a facility and adjusts the contents of the diaries by recognizing the user's emotions. This system is mainly composed of a server, terminals, and users.

[1205] server

[1206] The server has the following functions:

[1207] 1. Data Collection:

[1208] The server collects curriculum data, meal data, location information, and photo data obtained from sensors in the facility and staff input. This data is periodically acquired from tablets, GPS, Wi-Fi tracking systems, and camera systems in the facility.

[1209] For example, the data includes specific information such as morning activity time "9:00-10:00" for exercise, lunch "12:00-12:30 curry rice," location information "10:00 playroom," and photo data "9:15 photo taken during exercise."

[1210] 2. Data integration and organization:

[1211] The server maps the collected data to specific individuals and organizes them by time, for example, listing activity data, location information, and photo data from the time period "9:00-10:00."

[1212] 3. Diary text generation:

[1213] The server generates natural-sounding sentences using a generative AI model (e.g., OpenAI's GPT-4) based on the consolidated and organized data. At this stage, the following prompt sentences are used:

[1214] Generate a customer diary using the information below.

[1215] Time: 2023-10-10 15:30:00

[1216] Location: fitting room

[1217] Activity: Trying on clothes

[1218] Emotion: Positive

[1219] This generates sentences such as, "I tried on clothes in the fitting room at 3:30 p.m. on October 10, 2023. It was really fun!"

[1220] 4. Emotional engine regulation:

[1221] The server analyzes the user's feedback and adjusts the generated diary entries based on their emotions. For example, if the user responds, "I like trying on clothes," the server will detail that experience.

[1222] 5. Diary provision:

[1223] The automatically generated diary is provided to the user through an online portal or application, allowing the user to check the diary at any time.

[1224] 6. Notification System:

[1225] When a new diary entry is created, the server notifies the user at an appropriate time based on the user's emotions, allowing the user to know in real time that new information is available.

[1226] Terminal

[1227] The terminals are used by staff and users in the facility for data entry and viewing, and include tablet devices and smartphones.

[1228] User

[1229] Users are primarily parents or family members who check the diary provided through an online portal or application. Users can log in using their own devices and view the contents of the diary. For example, they can check "Today's Events" on a smartphone app.

[1230] In this way, the present invention is a system that efficiently collects and organizes data within a facility, creates natural diary entries using a generative AI model, and provides appropriate information tailored to the user's emotions, thereby improving the user experience.

[1231] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1232] Step 1:

[1233] The server collects curriculum data, meal data, location information, and photo data from tablet devices and sensors within the facility. Specifically, each device within the facility sends its data to the server, which receives and stores it. Inputs include, for example, curriculum data such as "9:00 - 10:00 gymnastics time," meal data such as "12:00 - 12:30 curry rice," location information such as "10:00 playroom," and photo data such as "9:15 photo taken during gymnastics." All of this data is then stored in the server's database as output.

[1234] Step 2:

[1235] The server integrates and organizes the collected data for each specific person. Specifically, it filters the data in the database for each specific person, sorts them chronologically, and maps them as a single timeline. The input includes the data collected in step 1, and the output generates timeline data in which data for each specific person is integrated.

[1236] Step 3:

[1237] The server uses a generative AI model to generate diary-style text based on the integrated and organized data. Specifically, the integrated timeline data is input as a prompt sentence and passed to the generative AI model. An example of a prompt sentence is, "Generate a customer diary based on the following information: - Time: 2023-10-10 15:30:00 - Location: Dressing room - Activity: Trying on clothes - Emotion: Positive." The generated diary-style text is obtained as the output.

[1238] Step 4:

[1239] The server recognizes emotions based on user feedback and adjusts the content of the generated diary. Specifically, it analyzes past feedback data from users and uses the results to revise the diary content. The input includes the generated diary-style text and the user's feedback data. For example, if a user provides feedback such as "I like trying on clothes," the text is adjusted to emphasize that content. The output is an adjusted diary-style text.

[1240] Step 5:

[1241] The server provides the automatically generated diary to a user-specific online portal or application, specifically by linking the completed diary to a specific user's account, storing it, and making it accessible. The input includes the adjusted diary text, and the output is the diary stored within the user's portal site or application.

[1242] Step 6:

[1243] The server notifies the user that a new diary entry has been created. Specifically, it uses a cloud notification service (e.g., Firebase Cloud Messaging) to send a notification to the smartphone. The input includes the existence information of the created diary entry, and the output is a notification that "A new diary entry has been updated" is displayed on the user's smartphone.

[1244] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1245] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1246] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1247] [Fourth embodiment]

[1248] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1249] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1250] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1251] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1252] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1253] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1254] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1255] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1256] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1257] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1258] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1259] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1260] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1261] The present invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system is implemented as follows.

[1262] System configuration

[1263] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[1264] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[1265] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[1266] Program processing flow

[1267] 1. Data Collection:

[1268] The server receives curriculum data (e.g., activity times and content) from tablet devices within the facility.

[1269] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1270] The server receives meal data (e.g., meal times and menus) from the facility's meal management system.

[1271] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1272] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems.

[1273] Example: The location information "10:00 Playroom" is received.

[1274] The server periodically receives photographic data from the camera system within the facility.

[1275] Example: "9:15 Photo of gymnastics" is received.

[1276] 2. Data integration and organization:

[1277] The server maps the collected data to specific people and organizes the data based on time information.

[1278] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1279] The server uses facial recognition technology to cut out images of specific people from the photo data.

[1280] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1281] 3. Diary text generation:

[1282] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[1283] Example: The following sentence is generated: "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies. After that, we played in the playroom and had curry rice for lunch."

[1284] 4. Completion and submission of diary:

[1285] The server stores the automatically generated diary in a user-specific online portal or application.

[1286] Example: The generated diary is saved on a portal site for parents only.

[1287] The user uses the terminal to log in to an online portal or application and view the diary.

[1288] Example: A parent checks what's happening today on an app on their smartphone.

[1289] Specific examples

[1290] The following diary is generated as an example of a child's day at the facility.

[1291] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[1292] 10:00 AM: "I played with my friends in the playroom at 10:00."

[1293] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[1294] This allows family members to understand the daily life of a particular person at the facility and gives them a sense of security.

[1295] The processing flow will be explained below.

[1296] Step 1: Collect data

[1297] The server receives curriculum data from tablet devices within the facility, which records the time and content of activities.

[1298] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1299] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[1300] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1301] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[1302] Example: The location information "10:00 Playroom" is received.

[1303] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[1304] Example: "9:15 Photo of gymnastics" is received.

[1305] Step 2: Consolidate and organize your data

[1306] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[1307] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1308] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[1309] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1310] Step 3: Diary text generation

[1311] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[1312] For example, the sentence generated for morning activities is "Today, we did exercises from 9:00. They seemed to enjoy moving their bodies.", and for mealtimes, the sentence generated is "We had curry rice for lunch."

[1313] Step 4: Complete and submit your diary

[1314] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[1315] Example: The generated diary is saved on a portal site for parents only.

[1316] Users can use their devices to log into an online portal or application to view the diary, a process that allows users to see details of their family's day.

[1317] Example: A parent checks what's happening today on an app on their smartphone.

[1318] Step 5: Notification

[1319] The server sends a notification to the user when a new diary entry is created, allowing the user to know in real time that new information is available.

[1320] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[1321] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[1322] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[1323] Example 1

[1324] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1325] There is a problem that it is difficult for guardians and family members to keep track of the daily activities of specific individuals in the facility. In particular, the lack of detailed and timely information makes it difficult to grasp the situation, which often leads to anxiety.

[1326] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1327] In this invention, the server includes means for collecting curriculum data, meal data, location information, and image data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to a user-specific online portal or software, thereby enabling the user to grasp detailed daily activity information for each specific person in real time.

[1328] "Curriculum data" refers to information about the content and time of activities taking place within the facility.

[1329] "Meal data" refers to information about meal times and menus served within the facility.

[1330] "Location information" is data that indicates where a particular person is located within a facility.

[1331] "Image data" refers to information about photos and videos taken by the camera system within the facility.

[1332] "Facial recognition technology" is a technology that identifies the face of a specific person from image or video data.

[1333] "Means of integration and organization" refers to the process of aggregating collected data for specific individuals and systematically organizing it based on time and content.

[1334] "Means for automatically generating diary-style text" refers to programs or algorithms for creating diaries in natural language based on integrated and organized data.

[1335] "User-specific online portal or software" means a website or application that a User can access and use to view the diary entries that the User has created.

[1336] The "notification means" is a system for notifying the user of the contents of the created diary in real time.

[1337] This invention is a system for automatically generating a diary of a specific person who spends time in a facility, and is composed of elements of a server, a terminal, and a user. This system uses the following hardware and software.

[1338] System configuration

[1339] Server: The server periodically collects the following data from various data sources within the facility:

[1340] Curriculum data: Collected from tablet devices within the facility. Example: "9:00 - 10:00 Gymnastics time."

[1341] Meal data: Collected from the meal management system. Example: "12:00 - 12:30 Lunch: Curry rice"

[1342] Location information: Collected from GPS and Wi-Fi tracking systems. Example: "10:00 Playroom"

[1343] Image data: collected from the camera system within the facility. Example: "Photo of gymnastics at 9:15"

[1344] Technologies used and data processing

[1345] The server collects, aggregates, and organizes data using the following technologies:

[1346] Data integration technology: Collected data is mapped to specific individuals and organized chronologically based on timestamps.

[1347] Facial recognition technology: Using technologies such as OpenCV and Amazon Rekognition, we identify and extract the faces of specific people from image data.

[1348] Generative AI model: Using natural language generation models such as GPT-3, diary-style text is automatically generated based on the integrated and organized data.

[1349] Specific processing examples

[1350] The server generates a diary like the one below based on the integrated and organized data.

[1351] 9 AM: "I started my exercises at 9:00 today. As you can see in the photo, I was moving my body energetically."

[1352] 10:00 AM: "I played with my friends in the playroom at 10:00."

[1353] 12 PM: "I ate my curry rice lunch at 12:00 with gusto."

[1354] Prompt Sentence Examples

[1355] An example of a prompt sentence to input to the generative AI model is as follows:

[1356] "We did exercises from 9:00 to 10:00. After that, we played in the playroom from 10:00. We had lunch from 12:00. The menu was curry rice."

[1357] The server stores the diary thus generated in a user-specific online portal or software, and the user can view the diary using a terminal.

[1358] This system allows users to grasp detailed information about a specific person's daily activities in real time, and provides a diary with detailed timelines and photos, giving users a sense of security.

[1359] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1360] Step 1: Collect data

[1361] The server acquires curriculum data from tablet devices within the facility. Activity details and time period information entered on the device is sent to the server, which stores this in a database. The server also collects meal data from the meal management system. It periodically receives location information from the facility's GPS and Wi-Fi tracking systems, and finally acquires image data from the camera system. Specifically, it sends API requests to each data source and stores the data obtained as a response.

[1362] Input: Curriculum data from tablet devices, meal data from the meal management system, location information from GPS and Wi-Fi tracking systems, image data from the camera system

[1363] Output: Various data stored on the server

[1364] Step 2: Consolidate and organize your data

[1365] The server maps the various collected data to specific individuals and organizes them based on timestamps. Specifically, it combines data based on the individual ID and timestamp assigned to each data item to create a daily activity profile for each individual. It uses facial recognition technology to identify the faces of specific individuals from image data and cuts out those areas. Specifically, it uses a facial recognition algorithm to detect the faces of specific individuals from photos and then processes the images.

[1366] Input: Various data stored on the server (curriculum data, meal data, location information, image data)

[1367] Output: A consolidated and organized dataset for each person.

[1368] Step 3: Diary text generation

[1369] The server uses a generative AI model to automatically generate diary-style sentences based on the integrated and organized data. Specifically, it formats the prompt sentences and inputs them into a generative AI model (e.g., GPT-3). The model generates natural sentences based on the input prompt sentences and outputs them as diary entries. Specifically, it retrieves the organized data from the database, converts them into prompt sentences, sends them to the model, retrieves the generated sentences, and saves them back into the database.

[1370] Input: Consolidated and organized data set for each person, prompt statement

[1371] Output: Generated diary sentences

[1372] Step 4: Save and share your diary

[1373] The server stores the automatically generated diary entries in an online portal or software dedicated to the user. Specifically, the generated diary entries are stored in a database of a portal or application corresponding to each user, and are accessible to the user. The user can view the diary entries by logging in to the online portal or application using a terminal. Specifically, the server performs user authentication, retrieves the corresponding diary data from the cloud storage or database, and displays it.

[1374] Input: Generated diary sentence, user access request

[1375] Output: Diary content provided to the user

[1376] (Application example 1)

[1377] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1378] The goal of this system is to record the activities and situations of specific individuals in facilities or brick-and-mortar stores in detail, and then generate diary-style text based on that information, allowing guardians and administrators to understand the daily routine and status of those individuals. However, existing systems often require manual collection and organization of data, which is time-consuming and labor-intensive, and has limited accuracy. Furthermore, it is difficult to generate natural-sounding text based on this data.

[1379] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1380] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within a facility, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, means for collecting job data, meal data, location information, and photo data within a physical store, means for integrating and organizing the collected data for each specific employee, means for automatically generating diary-style text based on the integrated and organized data, and means for providing the automatically generated diary to an online portal or application dedicated to the store manager. This makes it possible to automatically collect and organize detailed activity records of specific individuals at a facility or physical store, and further generate and provide natural diary-style text based on the records.

[1381] "Institutional curriculum data" refers to information about planned activities and schedules within an institution.

[1382] "Meal data" is information about meal times, contents, and menus.

[1383] "Location information" is information that indicates where a specific person or employee is located within a facility or physical store.

[1384] "Photo data" refers to image data taken within a facility or physical store.

[1385] "Job data" is information about what job a particular employee performs at what time.

[1386] "Means for integrating and organizing for specific individuals" refers to methods or technologies for associating collected data with specific individuals and managing them in a unified manner.

[1387] "Means for automatically generating diary-style text" is a technology that generates natural-looking text based on collected and organized data.

[1388] A "user-specific online portal or application" is a dedicated website or mobile application that can be accessed by a specific user.

[1389] "Means for integrating and organizing by employee" refers to methods and technologies for associating collected data with specific employees and managing them centrally.

[1390] "Store Manager Exclusive Online Portal or Application" means a dedicated website or mobile application accessible by store managers.

[1391] "Facial recognition technology" is a technology that identifies the face of a specific person from image data and extracts that part.

[1392] This invention is a system for automatically generating a diary for a specific person in a facility or a physical store. This system is mainly composed of three elements: a server, a terminal, and a user.

[1393] System hardware and software configuration

[1394] Hardware:

[1395] Smartphones, tablets, GPS sensors, Wi-Fi tracking systems, cameras, and servers

[1396] software:

[1397] Job management systems, meal management systems, facial recognition technology, generative AI models, online portals, or mobile applications

[1398] Data collection

[1399] The server collects the following data:

[1400] Curriculum data within a facility, job data within a physical store (e.g., "9:00 - 10:00 Stocking inventory").

[1401] Meal data from a meal management system (e.g., "12:00 - 12:30 Lunch: Sandwich").

[1402] Location information from GPS or Wi-Fi tracking systems (e.g., "10:00, Area B inside the store").

[1403] Photo data from in-store camera systems (e.g., "Photo taken at 9:15 while organizing merchandise").

[1404] Data Integration and Cleansing

[1405] The server aggregates the collected data for specific individuals or employees and organizes it based on time information. For example, it compiles product sorting data, location information, and photo data from the 9:00-10:00 time period. It then uses facial recognition technology to extract images of specific individuals from the photo data.

[1406] Diary text generation

[1407] The server uses a generative AI model to automatically generate natural-sounding sentences based on the integrated and organized data. Below is an example of a prompt sentence to be input to the generative AI model.

[1408] Prompt Sentence Examples

[1409] markdown

[1410] Activity Record

[1411] 9:00 - 10:00: Sorting products

[1412] 10:00 - 11:00: Area B

[1413] meal

[1414] 12:00 - 12:30: Sandwiches

[1415] Location information

[1416] 10:00: Area B inside the store

[1417] photograph

[1418] 9:15: Photos of the product being sorted

[1419] Diary generation

[1420] Use this information to generate a business diary like the one below.

[1421] diary:

[1422] Diary provision

[1423] The automatically generated diary is provided in the following ways:

[1424] Your own online portal or application:

[1425] The automatically generated diary is stored on a portal site exclusively for parents and guardians.

[1426] Additionally, specific employee diaries are stored in an online portal or application dedicated to store managers.

[1427] Specific examples

[1428] For example, an employee's diary in a physical store is generated as follows:

[1429] 9:00 AM: "Today, we started sorting the items from 9:00 AM. As you can see in the photos, we worked carefully."

[1430] 10:00 AM: "At 10:00, we made some layout adjustments in Area B of the store."

[1431] 12:00 PM: "By 12:00 I had a delicious lunch sandwich."

[1432] This completes the description of the embodiment of the present invention. This system automatically collects and organizes detailed activity records of specific individuals at facilities or brick-and-mortar stores, and then generates and provides natural diary-style text based on these records.

[1433] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1434] Step 1: Collect data

[1435] The server receives curriculum data from tablet devices and sensors within the facility. For example, the server obtains data on the facility's activity times and content. Next, it receives meal data from the meal management system, obtaining information on meal times and menus. It also periodically receives location information from GPS and Wi-Fi tracking systems to identify the activity locations of specific individuals. It also collects photo data at specific times from the facility's camera system. The input is data from each management system and sensor, and the output is a series of unorganized data.

[1436] Step 2: Consolidate and organize your data

[1437] The server maps the collected data to specific individuals and organizes the data based on time information. The server unifies each collected item (curriculum, meals, location, photos) based on a daily timeline to generate a dataset for each specific individual. Photo information is supplemented by using facial recognition technology to extract the faces of specific individuals from the photo data. The input is the data collected in step 1, and the output is the integrated and organized data.

[1438] Step 3: Diary text generation

[1439] The server automatically generates diary-style text based on the integrated and organized data using a generative AI model. Here, the server passes the following prompt sentence to the generative AI model to generate the text:

[1440] Prompt Sentence Examples

[1441] markdown

[1442] Activity Record

[1443] 9:00 - 10:00: Sorting products

[1444] 10:00 - 11:00: Area B

[1445] meal

[1446] 12:00 - 12:30: Sandwiches

[1447] Location information

[1448] 10:00: Area B inside the store

[1449] photograph

[1450] 9:15: Photos of the product being sorted

[1451] Diary generation

[1452] Use this information to generate a business diary like the one below.

[1453] diary:

[1454] The input is the data organized in step 2, and the output is smartly organized diary entries.

[1455] Step 4: Save and share your diary

[1456] The server stores the automatically generated diary entry in a user-specific online portal or application. Users can view their diary entries by logging in to the online portal or application using their own devices. The input is the diary entry generated in step 3, and the output is the diary entry saved in a form accessible to the user. Specifically, the server associates the diary entry with a specific user account and stores it in a database.

[1457] The above are the specific processing steps of the system. This series of processes makes it possible to automatically generate a detailed diary of a specific person at a facility or physical store and provide it to the user.

[1458] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1459] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and has the function of recognizing the user's emotions and adjusting the content. This system is composed of elements such as a server, a terminal, and a user.

[1460] System configuration

[1461] The server periodically collects curriculum data, meal data, location information, and photo data from within the facility, which are acquired from sensors within the facility and tablet devices entered by staff.

[1462] The terminals are tools that can be used by staff and parents within the facility to input and view data.

[1463] Users are primarily children's guardians and elderly family members, who check the provided diaries through online portals and applications.

[1464] Additional system configuration

[1465] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the contents of the diary and the timing of notifications.

[1466] Program processing flow

[1467] 1. Data Collection:

[1468] The server receives curriculum data from tablet devices within the facility and records the time and content of activities.

[1469] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1470] The server receives meal data from the facility's meal management system and records the menu of meals provided and the time of consumption.

[1471] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1472] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific individuals.

[1473] Example: The location information "10:00 Playroom" is received.

[1474] The server periodically receives photographic data from a camera system within the facility and visually records some of the activity.

[1475] Example: "9:15 Photo of gymnastics" is received.

[1476] 2. Data integration and organization:

[1477] The server maps the collected data to specific individuals and organizes it into a single timeline based on time information.

[1478] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1479] The server uses facial recognition technology to cut out images of specific people from the photo data, making it easier to identify them.

[1480] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1481] 3. Diary text generation:

[1482] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data.

[1483] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for lunch time, the sentence generated is "We ate curry rice deliciously at 12:00."

[1484] 4. Emotional engine regulation:

[1485] The server analyzes the user's past reactions and feedback and tailors the generated diary to the user's emotions. For example, if the user expresses positive emotions toward a particular activity, similar activities will be highlighted.

[1486] For example, if a user responds "I like gymnastics class," the content is described in detail.

[1487] 5. Completion and submission of diary:

[1488] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing users to view the entries at any time.

[1489] Example: The generated diary is saved on a portal site for parents only.

[1490] Users can use their devices to log into an online portal or application to view the diary, in the process allowing them to see details of their family's day.

[1491] Example: A parent checks what's happening today on an app on their smartphone.

[1492] 6. Notice:

[1493] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[1494] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[1495] This makes it easier for family members to understand the daily life of a specific person at the facility, giving them a sense of security.In addition, the introduction of an emotion engine makes it possible to provide optimal information to users.

[1496] The processing flow will be explained below.

[1497] Step 1: Collect data

[1498] The server receives curriculum data from tablet devices in the facility in a timely manner, recording the time and content of activities.

[1499] Example: The data "9:00 - 10:00 Gymnastics time" is entered.

[1500] The server receives meal data from the facility's meal management system, which records the menu of meals served and the time of consumption.

[1501] Example: The data "12:00 - 12:30 Lunch: Curry rice" is entered.

[1502] The server periodically receives location information from the facility's GPS and Wi-Fi tracking systems, which records the location of specific individuals.

[1503] Example: The location information "10:00 Playroom" is received.

[1504] The server periodically receives photographic data from the facility's camera system, creating a visual record of some of the activity.

[1505] Example: "9:15 Photo of gymnastics" is received.

[1506] Step 2: Consolidate and organize your data

[1507] The server maps the collected data to specific individuals and organizes them into a single timeline based on time information, allowing users to track individual activities in chronological order.

[1508] Example: Collect activity data, location information, and photo data for the time period "9:00 - 10:00".

[1509] The server uses facial recognition technology to extract images of specific people from the photo data, making it easier to identify them.

[1510] Example: Recognizing a specific child's face from a photo of them doing gymnastics and cutting out that part.

[1511] Step 3: Diary text generation

[1512] The server uses generative AI to automatically generate natural-sounding sentences based on the integrated and organized data, resulting in a concise and easy-to-understand diary entry.

[1513] For example, the sentence generated for morning activities is "Today, we started doing exercises at 9:00. As you can see in the photo, we moved our bodies energetically," and for mealtimes, it is "We ate curry rice deliciously at 12:00."

[1514] Step 4: Emotional Engine Adjustment

[1515] The server analyzes the diary entries generated based on the user's past reactions and feedback, and adjusts the diary entries based on the user's emotions. For example, activities that have generated positive reactions will be described in more detail.

[1516] For example, if a user responds "I like gymnastics class," the content is described in detail.

[1517] Step 5: Complete and submit your diary

[1518] The server stores the automatically generated diary in a user-specific online portal or application, allowing the user to view the diary at any time.

[1519] Example: The generated diary is saved on a portal site for parents only.

[1520] Users use their devices to log into an online portal or application and view the diary, a process that allows users to see details of their family member's day at the facility.

[1521] Example: A parent checks what's happening today on an app on their smartphone.

[1522] Step 6: Notification

[1523] When a new diary entry is created, the server determines the appropriate timing for notification based on the user's emotions and sends the notification to the user, allowing the user to know in real time that new information is available.

[1524] Example: When a new diary entry is posted, a notification will appear on the parent's smartphone saying "A new diary entry has been updated."

[1525] The user can check the notification on the device to know that a new diary entry has been created, allowing them to immediately obtain the latest information.

[1526] Example: A parent taps on a notification on their smartphone to open their latest diary entry.

[1527] Example 2

[1528] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1529] In conventional facility record-keeping systems, a detailed understanding of a specific person's daily life required manual input and organization of large amounts of data. Furthermore, it was difficult to provide information that took into account the user's emotions, making it difficult to meet individual needs. The present invention aims to solve these problems by providing a system that automatically generates a diary for a specific person and adjusts the content based on the user's emotions.

[1530] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for each specific person, means for automatically generating natural language sentences using a generative AI model based on the integrated and organized data, means for providing the automatically generated diary to a user-specific online portal or application, and means for adjusting the content of the diary and notifications based on the user's emotions. This makes it possible to efficiently and in detail understand the daily life of a specific person and provide optimal information according to the user's emotions.

[1531] "Institutional curriculum data" refers to information about specific activities or programs within an institution, including, for example, schedule information for exercise periods and study periods.

[1532] "Meal data" refers to information regarding the menu and time of meals served within the facility.

[1533] "Location information" refers to information about the location and movement routes of a particular person within a facility, and is obtained from GPS and Wi-Fi tracking systems.

[1534] "Photo data" refers to image data captured by a camera system within the facility, and is used to visually record activities, etc.

[1535] "Means of integration and organization" refers to methods and technologies for mapping multiple types of collected data to specific individuals and arranging them in chronological order.

[1536] A "generative AI model" refers to an artificial intelligence technology that automatically generates natural language sentences based on given data.

[1537] "Means for automatically generating natural language text" refers to a method that uses a generative AI model to generate human-readable text from data.

[1538] "Online Portal" means a website or application that a user can access via the Internet and where the diary can be viewed.

[1539] "User" refers primarily to a person's guardian or family member, who views the diary through an online portal or application.

[1540] "Means for adjusting the content of diary entries and notifications based on emotions" refers to methods and technologies for analyzing a user's past reactions and feedback and optimizing the content of the diary entries and notifications generated based on that.

[1541] The present invention is a system that automatically generates a diary of a specific person spending time in a facility and adjusts the content by recognizing the user's emotions. This system is composed of elements such as a server, a terminal, and a user.

[1542] server

[1543] The server collects data from tablets, meal management systems, GPS and Wi-Fi tracking systems, and camera systems within the facility. Specifically, it works as follows:

[1544] 1. Curriculum data collection

[1545] The server receives and records the curriculum data entered by facility staff on tablet devices. For example, if a staff member enters data such as "9:00 - 10:00 gymnastics time," the server records this data in the specified format.

[1546] 2. Collection of dietary data

[1547] The server receives and records meal menus and meal times from the facility's meal management system. For example, if data such as "12:00 - 12:30 Lunch: Curry rice" is sent, the server automatically recognizes this data and stores it in the database.

[1548] 3. Collection of location information

[1549] It periodically receives location information from the facility's GPS and Wi-Fi tracking systems and records the location of specific people. For example, the server polls location information every 10 minutes and receives and stores data such as "10:00 Playroom."

[1550] 4. Photo data collection

[1551] The system periodically receives photo data from the camera system within the facility and visually records some of the activities. For example, "Photo of gymnastics at 9:15" is sent from the camera system, and the server stores this as image data.

[1552] Terminal

[1553] The devices can be used by staff and parents within the facility to input and view data. For example, staff can input data in real time using tablet devices.

[1554] User

[1555] Users are primarily guardians or family members of a particular person, and can view the diary created through online portals or applications. For example, a parent can use a smartphone app to check what happened that day.

[1556] Generating diary entries using a generative AI model

[1557] The server uses a generative AI model based on the collected and organized data to automatically generate natural-sounding sentences. For example, for morning activities, the following prompt sentences can be input into the generative AI model to generate natural-language sentences:

[1558] Example prompt sentence:

[1559] "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Gymnastics"

[1560] Example of generated sentence:

[1561] "Today, we started exercises at 9:00. As you can see in the photo, we moved our bodies energetically. At 12:00, we ate curry rice with gusto."

[1562] Emotional engine regulation

[1563] The server analyzes the user's past reactions and feedback and adjusts the diary entries to reflect the user's emotions. For example, if the user responds by saying, "I like gymnastics class," the diary entry will be adjusted to include more details about that.

[1564] Diary provision and notifications

[1565] The server stores the automatically generated diary entries in a user-specific online portal or application, allowing the user to access them at any time. When a new diary entry is created, the server notifies the user at the appropriate time. For example, a notification that "a new diary entry has been updated" is sent to the parent's smartphone in real time.

[1566] This system makes it possible to efficiently grasp the daily life of a specific person in a facility, and to provide optimal information according to the user's emotions.

[1567] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1568] Step 1: Collect data

[1569] The server collects curriculum data entered from tablet devices in the facility, meal data from the facility's meal management system, location information from the GPS and Wi-Fi tracking system, and photo data from the camera system. Based on the entered data, the server converts this data into an appropriate format and stores it in a database in the specified format.

[1570] Specific operation: When a staff member enters data such as "9:00 - 10:00 Exercise time" into a tablet device, the server receives this data and records it in the database. Meal data such as "12:00 - 12:30 Lunch: Curry rice" is automatically acquired and saved.

[1571] Step 2: Consolidate and organize your data

[1572] The server categorizes the collected data by specific person, integrates it based on time information, and organizes it into a single timeline. In this process, facial recognition technology is used to extract images of specific people from the photo data, making mapping easier.

[1573] Input: curriculum data, meal data, location information, photo data

[1574] Output: Timeline of a specific person

[1575] Specific operation: For example, the data for morning exercise time is integrated as "9:00 - 10:00 exercise time" and the location information is integrated as "10:00 playroom," and the face of a specific person is cut out from the photo data and saved.

[1576] Step 3: Diary text generation

[1577] The server automatically generates natural language sentences using a generative AI model based on the integrated and organized data. A prompt sentence is set and input into the generative AI model to generate the sentence.

[1578] Input: Integrated timeline data

[1579] Output: Diary text in natural language

[1580] Specific behavior: For example, the prompt sentence "Curriculum: 9:00 - 10:00 Gymnastics, Meal: 12:00 - 12:30 Curry rice, Location information: 10:00 Playroom, Photo: 9:15 Doing gymnastics" is input into the generative AI model, and the model generates a sentence such as "Today, gymnastics started at 9:00. As you can see in the photo, the child moved energetically. At 12:00, the child ate curry rice with gusto."

[1581] Step 4: Emotional Engine Adjustment

[1582] The server analyzes the user's past reactions and feedback and adjusts the generated diary to match the user's emotions. For activities that have generated positive reactions, the server adjusts the diary by adding more detailed descriptions of the activities.

[1583] Input: Generated diary entries, user emotion data

[1584] Output: Adjusted diary entry

[1585] Specific action: For example, if the user provides feedback such as "I like gymnastics class," modify the sentence to describe the gymnastics section in more detail.

[1586] Step 5: Provide a diary

[1587] The server stores the automatically generated and adjusted diary in a user-specific online portal or application, making it accessible to the user.

[1588] Input: Adjusted diary entry

[1589] Output: Save to User Portal

[1590] Specific operation: The generated diary entries are saved in the "Parent Portal" folder and can be viewed when the user accesses the online portal.

[1591] Step 6: Notification

[1592] When a new diary entry is created, the server determines the appropriate timing for notification and sends the notification to the user.

[1593] Input: New diary entry

[1594] Output: Information message

[1595] Specific operation: When the diary is completed, the server generates a notification message saying "A new diary entry has been updated" and sends a push notification to the parent's smartphone in real time.

[1596] In this way, family members can efficiently and in detail understand the daily life of a particular person who spends time at the facility, and optimal information can be provided according to the user's emotions.

[1597] (Application example 2)

[1598] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1599] In recent years, there has been a demand for systems that automatically generate diaries for specific individuals within a facility. However, conventional systems have had difficulty integrating collected data and automatically generating natural-sounding sentences. Furthermore, the generated diaries are not adjusted to match the user's emotions, which prevents the system from providing users with information that satisfies them. This has led to a decline in interest and trust when users view the diaries. Furthermore, the timing of notifications is not adjusted based on the user's emotions, resulting in an inconsistent user experience.

[1600] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1601] In this invention, the server includes means for collecting curriculum data, meal data, location information, and photo data within the facility, means for integrating and organizing the collected data for specific individuals, means for generating natural-sounding sentences using a generative AI model, means for adjusting the content of the generated diary based on the user's emotions, means for collecting user feedback and recognizing emotions, and means for providing the automatically generated diary to a user-specific online portal or application. This makes it possible to automatically generate natural-sounding sentences from the collected data and adjust the content of the diary based on the user's emotions. Furthermore, facial recognition technology can be used to crop images of specific individuals as needed, and notifications to the user can be sent at appropriate times, improving the user experience.

[1602] "Curriculum data" refers to data that records the schedule and content of activities, classes, and events conducted within the facility.

[1603] "Meal data" refers to data that records the menu and time of meals served within the facility.

[1604] "Location information" refers to GPS and Wi-Fi tracking data that indicates where a particular person is within a facility.

[1605] "Photo data" is image data that visually records the activities of a specific person within a facility.

[1606] A "generative AI model" is an artificial intelligence model that generates natural-looking sentences based on collected data.

[1607] The "emotion engine" is a technology that analyzes users' past reactions and feedback and adjusts the content of the generated diary.

[1608] An "online portal" is a website or application that users can access through the Internet.

[1609] A "smartphone" is a portable electronic device that can run sophisticated applications in addition to telephone functions.

[1610] A "head-mounted display" is a display device that is worn on the user's head.

[1611] "Facial recognition technology" is a technology for identifying and cutting out the face of a specific person from photographic data.

[1612] A "notification system" is a system for notifying users of new information and updates.

[1613] This system automatically generates detailed diaries about specific people in a facility and adjusts the contents of the diaries by recognizing the user's emotions. This system is mainly composed of a server, terminals, and users.

[1614] server

[1615] The server has the following functions:

[1616] 1. Data Collection:

[1617] The server collects curriculum data, meal data, location information, and photo data obtained from sensors in the facility and staff input. This data is periodically acquired from tablets, GPS, Wi-Fi tracking systems, and camera systems in the facility.

[1618] For example, the data includes specific information such as morning activity time "9:00-10:00" for exercise, lunch "12:00-12:30 curry rice," location information "10:00 playroom," and photo data "9:15 photo taken during exercise."

[1619] 2. Data integration and organization:

[1620] The server maps the collected data to specific individuals and organizes them by time, for example, listing activity data, location information, and photo data from the time period "9:00-10:00."

[1621] 3. Diary text generation:

[1622] The server generates natural-sounding sentences using a generative AI model (e.g., OpenAI's GPT-4) based on the consolidated and organized data. At this stage, the following prompt sentences are used:

[1623] Generate a customer diary using the information below.

[1624] Time: 2023-10-10 15:30:00

[1625] Location: fitting room

[1626] Activity: Trying on clothes

[1627] Emotion: Positive

[1628] This generates sentences such as, "I tried on clothes in the fitting room at 3:30 p.m. on October 10, 2023. It was really fun!"

[1629] 4. Emotional engine regulation:

[1630] The server analyzes the user's feedback and adjusts the generated diary entries based on their emotions. For example, if the user responds, "I like trying on clothes," the server will detail that experience.

[1631] 5. Diary provision:

[1632] The automatically generated diary is provided to the user through an online portal or application, allowing the user to check the diary at any time.

[1633] 6. Notification System:

[1634] When a new diary entry is created, the server notifies the user at an appropriate time based on the user's emotions, allowing the user to know in real time that new information is available.

[1635] Terminal

[1636] The terminals are used by staff and users in the facility for data entry and viewing, and include tablet devices and smartphones.

[1637] User

[1638] Users are primarily parents or family members who check the diary provided through an online portal or application. Users can log in using their own devices and view the contents of the diary. For example, they can check "Today's Events" on a smartphone app.

[1639] In this way, the present invention is a system that efficiently collects and organizes data within a facility, creates natural diary entries using a generative AI model, and provides appropriate information tailored to the user's emotions, thereby improving the user experience.

[1640] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1641] Step 1:

[1642] The server collects curriculum data, meal data, location information, and photo data from tablet devices and sensors within the facility. Specifically, each device within the facility sends its data to the server, which receives and stores it. Inputs include, for example, curriculum data such as "9:00 - 10:00 gymnastics time," meal data such as "12:00 - 12:30 curry rice," location information such as "10:00 playroom," and photo data such as "9:15 photo taken during gymnastics." All of this data is then stored in the server's database as output.

[1643] Step 2:

[1644] The server integrates and organizes the collected data for each specific person. Specifically, it filters the data in the database for each specific person, sorts them chronologically, and maps them as a single timeline. The input includes the data collected in step 1, and the output generates timeline data in which data for each specific person is integrated.

[1645] Step 3:

[1646] The server uses a generative AI model to generate diary-style text based on the integrated and organized data. Specifically, the integrated timeline data is input as a prompt sentence and passed to the generative AI model. An example of a prompt sentence is, "Generate a customer diary based on the following information: - Time: 2023-10-10 15:30:00 - Location: Dressing room - Activity: Trying on clothes - Emotion: Positive." The generated diary-style text is obtained as the output.

[1647] Step 4:

[1648] The server recognizes emotions based on user feedback and adjusts the content of the generated diary. Specifically, it analyzes past feedback data from users and uses the results to revise the diary content. The input includes the generated diary-style text and the user's feedback data. For example, if a user provides feedback such as "I like trying on clothes," the text is adjusted to emphasize that content. The output is an adjusted diary-style text.

[1649] Step 5:

[1650] The server provides the automatically generated diary to a user-specific online portal or application, specifically by linking the completed diary to a specific user's account, storing it, and making it accessible. The input includes the adjusted diary text, and the output is the diary stored within the user's portal site or application.

[1651] Step 6:

[1652] The server notifies the user that a new diary entry has been created. Specifically, it uses a cloud notification service (e.g., Firebase Cloud Messaging) to send a notification to the smartphone. The input includes the existence information of the created diary entry, and the output is a notification that "A new diary entry has been updated" is displayed on the user's smartphone.

[1653] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1654] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1655] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1656] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1657] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1658] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1659] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1660] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1661] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1662] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1663] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1664] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1665] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1666] 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.

[1667] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1668] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1669] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1670] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1671] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1672] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1673] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1674] The following is further disclosed regarding the above embodiment.

[1675] (Claim 1)

[1676] a means for collecting curriculum data, dietary data, location information, and photographic data within the facility;

[1677] A means of consolidating and organizing the collected data for specific people;

[1678] A means for automatically generating diary-style text based on the integrated and organized data;

[1679] a means for providing the automatically generated diary to a user's own online portal or application;

[1680] A system including:

[1681] (Claim 2)

[1682] 10. The system of claim 1, further comprising means for extracting an image of a specific person from the collected photographic data using facial recognition technology.

[1683] (Claim 3)

[1684] 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data.

[1685] "Example 1"

[1686] (Claim 1)

[1687] means for collecting curriculum data, dietary data, location information, and image data within the facility;

[1688] A means of consolidating and organizing the collected data for specific people;

[1689] A means for automatically generating diary-style text based on the integrated and organized data;

[1690] a means for providing the automatically generated diary to a user's dedicated online portal or software;

[1691] A system including:

[1692] (Claim 2)

[1693] 10. The system of claim 1, further comprising means for applying facial recognition technology to the collected image data to crop an image of a particular person.

[1694] (Claim 3)

[1695] 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data.

[1696] "Application Example 1"

[1697] (Claim 1)

[1698] a means for collecting curriculum data, dietary data, location information, and photographic data within the facility;

[1699] A means of consolidating and organizing the collected data for specific people;

[1700] A means for automatically generating diary-style text based on the integrated and organized data;

[1701] a means for providing the automatically generated diary to a user's own online portal or application;

[1702] A means for collecting job data, meal data, location information, and photo data within a physical store;

[1703] A means of consolidating and organizing the collected data for specific employees;

[1704] A means for automatically generating diary-style text based on the integrated and organized data;

[1705] a means for providing the automatically generated diary to a dedicated online portal or application for store managers;

[1706] A system including:

[1707] (Claim 2)

[1708] 10. The system of claim 1, further comprising means for extracting an image of a specific person from the collected photographic data using facial recognition technology.

[1709] (Claim 3)

[1710] 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data.

[1711] "Example 2: Combining Emotion Engines"

[1712] (Claim 1)

[1713] a means for collecting curriculum data, dietary data, location information, and photographic data within the facility;

[1714] A means of consolidating and organizing the collected data for specific people;

[1715] A means for automatically generating natural language sentences using a generative AI model based on the integrated and organized data;

[1716] a means for providing the automatically generated diary to a user's own online portal or application;

[1717] A means for adjusting the contents of the diary entry and notifications based on the user's emotions;

[1718] A system including:

[1719] (Claim 2)

[1720] 10. The system of claim 1, further comprising means for extracting an image of a specific person from the collected photographic data using facial recognition technology.

[1721] (Claim 3)

[1722] 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data.

[1723] "Application example 2 when combining emotion engines"

[1724] (Claim 1)

[1725] a means for collecting curriculum data, dietary data, location information, and photographic data within the facility;

[1726] A means of consolidating and organizing the collected data for specific people;

[1727] A means for automatically generating diary-style text based on the integrated and organized data;

[1728] A means for generating natural-sounding sentences using a generative AI model; and

[1729] means for adjusting the content of the generated diary based on the user's emotions;

[1730] a means for providing the automatically generated diary to a user's own online portal or application;

[1731] a means for collecting user feedback and recognizing emotions;

[1732] A system including:

[1733] (Claim 2)

[1734] 10. The system of claim 1, further comprising means for extracting an image of a specific person from the collected photographic data using facial recognition technology.

[1735] (Claim 3)

[1736] 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data. [Explanation of symbols]

[1737] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for collecting curriculum data, dietary data, location information, and photographic data within the facility; A means of consolidating and organizing the collected data for specific people; A means for automatically generating diary-style text based on the integrated and organized data; a means for providing the automatically generated diary to a user's own online portal or application; A system including:

2. The system of claim 1 further comprising means for extracting an image of a specific person from the collected photographic data using face recognition technology.

3. 2. The system according to claim 1, further comprising means for notifying the user of the contents of a diary created based on the collected data.

Images