System

Abstract

A system is provided.SOLUTION: The system includes an input means for transmitting image data in which a handwritten schedule is described through a communication line, a character recognition means for performing character recognition on the image data and extracting schedule information, a notification means for proposing the schedule information to a user, a confirmation means for confirming and approving or correcting the proposed schedule information by the user, and a registration means for registering the approved or corrected schedule information in an electronic calendar.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, many users find it time-consuming to input handwritten schedules into digital calendars. Furthermore, when sharing schedules, especially with family or coworkers, users are forced to use multiple applications, which reduces user satisfaction. There is a strong demand for a way to easily digitize handwritten schedules and eliminate the hassle of daily schedule management. [Means for solving the problem]

[0005] To solve this problem, the present invention provides the following means. First, it provides an input means for transmitting image data containing a handwritten schedule via a communication line. Next, it provides a character recognition means for performing character recognition on the image data and extracting schedule information. Furthermore, it provides a notification means for proposing the schedule information to the user, and a confirmation means for the user to confirm, approve, or modify the proposed schedule information. Finally, it provides a registration means for registering the approved or modified schedule information in an electronic calendar. This allows users to easily digitize their handwritten schedules and manage and share their schedules directly from a familiar messaging app.

[0006] A "handwritten schedule" is a schedule that a user writes by hand using paper or a digital pen.

[0007] "Image data" refers to an image file obtained by photographing or scanning a handwritten schedule.

[0008] "Communication line" refers to the infrastructure for sending and receiving data over a network.

[0009] "Input means" refers to a method or device that allows a user to input a handwritten schedule into the system as image data.

[0010] "Character recognition means" refers to a method or technology (such as OCR) for extracting character information from image data.

[0011] "Schedule information" refers to detailed schedule information such as dates and times and event contents that are constructed based on extracted character information.

[0012] "Notification means" refers to a method or device for conveying the extracted schedule information to the user.

[0013] "Verification means" means the interface or method by which a user can review and approve or modify the proposed schedule information.

[0014] The "registration means" refers to a method or device for saving the final schedule information in the electronic calendar.

[0015] An "electronic calendar" is software or a service that allows you to manage your schedule digitally. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules. Specifically, it is realized by having a user take a photo of the handwritten schedule using a device such as a smartphone and send the image to a server via a communication line. The key elements of this system are various means: input means, character recognition means, notification means, confirmation means, and registration means, which work together to enable simple and accurate schedule management.

[0038] Program processing flow

[0039] Image data input and transmission

[0040] Users take a photo of their handwritten schedule and send the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0041] Image analysis and character recognition

[0042] When the image data arrives at the server, the server uses its built-in character recognition engine (OCR engine) to extract the text information from the image, including the date, time, and content of the schedule.

[0043] Schedule generation and notification

[0044] The server analyzes the extracted text information and generates a schedule proposal, which is then sent to the user via a messaging app. The notification includes the schedule content, date and time, and is displayed in a format that the user can view.

[0045] Check and revise the proposed schedule

[0046] The user can review the proposed schedule and make any necessary changes through the messaging app's interface. Once the user approves the schedule, the details are confirmed as the final schedule information.

[0047] Registering schedule information

[0048] The server registers the final schedule information approved by the user in the electronic calendar, which digitizes the handwritten schedule and accurately reflects it in the electronic calendar.

[0049] Specific examples

[0050] Example 1: Registering a school event

[0051] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," and generates a proposed schedule. The mother checks the proposed schedule, verifies its accuracy, and approves it. The final information is registered on an electronic calendar from the server, allowing the mother to efficiently manage her schedule.

[0052] Example 2: Registering a company meeting

[0053] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image, extracts the text information "Department meeting, April 20th, 2:00 PM," and generates a proposed schedule. The office worker checks the proposed schedule and approves it if there are no errors. This schedule information is then registered in an electronic calendar, allowing the office worker to easily update the schedule from their handwritten notes to their digital calendar.

[0054] In this way, the present invention provides a system that allows for easy and efficient management of handwritten schedules, enabling many users to benefit from the digitization of their handwritten schedules.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0058] Step 2:

[0059] The user sends the image they have taken via a messaging app. The user opens a messaging app (e.g., LINE) and posts the image they have taken on the chat screen.

[0060] Step 3:

[0061] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0062] Step 4:

[0063] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0064] Step 5:

[0065] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0066] Step 6:

[0067] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0068] Step 7:

[0069] The server notifies the user of the proposed schedule, and then sends the generated schedule to the user via a messaging app for approval or modification.

[0070] Step 8:

[0071] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0072] Step 9:

[0073] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0074] Step 10:

[0075] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0076] Step 11:

[0077] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0078] Step 12:

[0079] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0080] Through the above processing steps, the user can easily digitize his / her handwritten schedule and register it in an electronic calendar.

[0081] Example 1

[0082] 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."

[0083] Previously, registering handwritten schedules in an electronic calendar required manual input, which was time-consuming and labor-intensive. Manual input also introduced the risk of errors, making accurate schedule management difficult. To solve these problems, a system was needed that could efficiently and accurately register handwritten schedules in an electronic calendar.

[0084] 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.

[0085] In this invention, the server includes input means for transmitting image data containing a handwritten schedule via a communication line, character recognition means for performing character recognition on the image data and extracting schedule information, means for analyzing the schedule information and generating a proposed schedule, notification means for notifying a user of the generated proposed schedule, confirmation means for the user to confirm the proposed schedule and make corrections as necessary, and registration means for registering the approved or corrected schedule information in an electronic calendar. This makes it possible to efficiently and accurately register handwritten schedules in an electronic calendar.

[0086] "Image data" is a digital file containing pictorial information of a handwritten schedule.

[0087] A "communication line" is an infrastructure for transmitting and receiving data between remote terminals.

[0088] The "input means" is a device or application that allows a user to take a picture of a handwritten schedule and transmit the image data to a server via a communication line.

[0089] "Character recognition means" refers to software or an engine that has the function of extracting schedule information by using optical character recognition (OCR) technology on image data.

[0090] "Schedule information" is text information including dates and times and event details extracted from a handwritten schedule.

[0091] The "analysis means" is an algorithm or program for generating a schedule proposal based on the extracted schedule information.

[0092] The "notification means" is a device or application for notifying the user of the generated schedule proposal.

[0093] A "verification means" is an interface or application that allows a user to review the proposed schedule and make corrections as necessary.

[0094] The "registration means" is software or an engine that has the function of registering schedule information that has been confirmed and approved by the user in the electronic calendar.

[0095] An "electronic calendar" is an application or service for managing events and appointments in a digital format.

[0096] The present invention is a system that automatically registers handwritten schedules in an electronic calendar. This system is implemented primarily using the user's smartphone, a server, a messaging app, and an electronic calendar application.

[0097] Image data input and transmission

[0098] First, the user takes a photo of their handwritten schedule using their smartphone's camera. For example, they can use the iOS Camera app or the standard Android (registered trademark) camera app. Then, the user opens a messaging app (e.g., LINE or WhatsApp) and sends the captured image data as a message. This image data is then transferred to the server via a communication line.

[0099] Image analysis and character recognition

[0100] The server temporarily stores the received image data. Then, it calls an OCR engine (e.g., Google® OCR API or tesseract library) to extract text information from the image. The extracted text information includes the date, time, and content of the schedule.

[0101] Schedule generation and notification

[0102] The server analyzes the text information obtained from the OCR engine and generates a proposed schedule. This proposed schedule is then notified to the user via a messaging app. For example, using the LINE API or WhatsApp API, a message such as "Proposed schedule generated: March 15th, 10:00 School Sports Day" is sent to the user.

[0103] Check and revise the proposed schedule

[0104] The user checks the proposed schedule in the messaging app. If necessary, the user can send a message to the server requesting corrections. For example, the user could request a correction such as, "The date and time is incorrect. Please change it to March 16th." The server receives the corrections and updates the proposed schedule.

[0105] Registering schedule information

[0106] The server registers the final approved schedule information with an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). It calls the API to input the necessary information (date, time, content, etc.) and sends a request to create an event in the calendar. The user can open the electronic calendar app and check that the new schedule has been added correctly.

[0107] As a concrete example, a mother writes down the schedule for her child's school event, "School Sports Day, March 15th, 10:00," by hand and takes a photo of it with her smartphone camera. Next, she sends the image to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," generates a schedule proposal, and notifies the mother. The mother then checks and approves the proposed schedule. The final information is then registered in Google Calendar from the server, allowing the mother to efficiently manage her schedule.

[0108] An example of a prompt in a generative AI model is "Please analyze the following handwritten schedule image, extract text information, and generate a schedule proposal: <image data>." This prompt can unify the behavior of the entire system.

[0109] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0110] Step 1:

[0111] The user takes a photo of the handwritten schedule using the smartphone camera. Specifically, they use the iOS Camera app or the standard Android camera app. The input for this step is a physical image of the handwritten schedule, and the output is image data stored in the smartphone.

[0112] Step 2:

[0113] The user sends the captured image data to the server via a messaging app (e.g., LINE, WhatsApp). Specifically, the user opens the messaging app, selects the server's chatbot account as the destination, and sends the image. The input for this step is the image data stored in the smartphone, and the output is the image data sent to the server via the communication line.

[0114] Step 3:

[0115] The server temporarily stores the received image data. Specifically, it executes a script that stores the image data in a specific directory on the server. The input of this step is the image data sent to the server, and the output is an image file stored on the server.

[0116] Step 4:

[0117] The server uses an OCR engine (e.g., Google OCR API or tesseract library) to extract text information from image data. Specifically, it sends image data to the OCR engine and receives text data in JSON format as a response. The input for this step is the image file stored on the server, and the output is the extracted text information.

[0118] Step 5:

[0119] The server analyzes the acquired text information and generates a proposed schedule. Specifically, it executes an algorithm to analyze the text information, extracts dates and times and event details, and formats them. The input of this step is the extracted text information, and the output is a formatted proposed schedule.

[0120] Step 6:

[0121] The server notifies the user of the generated schedule proposal via a messaging app. Specifically, it uses a messaging API to send the schedule proposal to the user. For example, it uses the LINE API or WhatsApp API to send a message such as "Schedule proposal generated: March 15th, 10:00 School Sports Day." The input of this step is the formatted schedule proposal, and the output is the notification message sent to the user.

[0122] Step 7:

[0123] The user checks the proposed schedule notified via the messaging app and makes corrections as necessary. Specifically, the user replies to the message with instructions to correct the schedule, such as "The date and time is incorrect. Please change it to March 16th." The input to this step is the notification message sent to the user, and the output is the message from the user with instructions to correct the schedule.

[0124] Step 8:

[0125] The server updates the proposed schedule based on the modifications received from the user. Specifically, it analyzes the modifications from the user and executes an algorithm to generate an updated proposed schedule. The input of this step is the modification message from the user, and the output is the updated proposed schedule.

[0126] Step 9:

[0127] The user sends a reply message for final confirmation and approval. Specifically, they send a message saying, "I'm happy with this schedule." The input of this step is the updated schedule proposal, and the output is the user's approval message.

[0128] Step 10:

[0129] The server registers the approved final schedule information in an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). Specifically, it calls the API, inputs the required information (date, time, content, etc.), and sends a request to create an event in the calendar. The input to this step is the user's approval message, and the output is the event registered in the electronic calendar.

[0130] This allows handwritten schedules to be efficiently and accurately registered in an electronic calendar.

[0131] (Application example 1)

[0132] 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."

[0133] With conventional factory management systems, managing schedules for maintenance work and sudden machine breakdowns was cumbersome, requiring the time-consuming manual entry of handwritten notes into a digital calendar, which led to scheduling errors, delays in the transmission of information, and reduced work efficiency.

[0134] 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.

[0135] In this invention, the server includes an input means for transmitting image data containing handwritten work schedules via a communication line, a character recognition means for performing character recognition on the image data and extracting work information, and a notification means for suggesting the work information to the worker. This makes it possible for maintenance staff to take a photo of the work schedules handwritten by the staff and automatically register them in the electronic calendar.

[0136] "Image data containing handwritten work schedules" refers to digital images taken with a smart device of handwritten schedules for maintenance work within a factory and for responding to machine breakdowns.

[0137] A "communication line" is a network infrastructure for sending and receiving data, including the Internet and dedicated lines.

[0138] The "input means" is a method for capturing a handwritten work plan as a digital image and transmitting the image data to a server. Specifically, this applies to smart glasses or a smartphone.

[0139] "Character recognition means" is a technology for analyzing handwritten character information from image data and extracting it as text data. Specifically, an OCR engine falls into this category.

[0140] "Work information" is text data about the content and date of maintenance work or machine failure response extracted from handwritten image data.

[0141] The "notification means" refers to a method for notifying maintenance staff of the extracted and analyzed work information. Specifically, this applies to a messaging system.

[0142] The "confirmation means" is a method by which the worker can confirm the notified work information and make corrections or approvals as necessary. This corresponds to an interface within the messaging system.

[0143] The "registration method" is a method for recording approved work information in a digital calendar. The electronic calendar API corresponds to this.

[0144] "Messaging system" means a communication method for sending and receiving text messages, including Slack and MICROSOFT (registered trademark) TEAMS (registered trademark).

[0145] A "digital calendar" is an electronic schedule management system, including Google Calendar and Microsoft Outlook Calendar.

[0146] This invention is a system that efficiently registers work schedules in a digital calendar using image data containing handwritten work schedules. Specifically, maintenance staff use input devices such as smart glasses to take a photo of the handwritten work schedule and then send the image data to a server via a messaging system. The following elements are particularly important in this system:

[0147] Image data input and transmission

[0148] Maintenance staff use smart glasses to capture handwritten work schedules, and the image data is sent to a server over a communication line via a messaging system (e.g., Slack or Microsoft Teams).

[0149] Image analysis and character recognition

[0150] The server analyzes the received image data. Specifically, it uses an OCR engine such as Google Cloud Vision API to extract handwritten text from the image. This character recognition method generates text data containing the details of the maintenance work or machine failure response, as well as the date and time.

[0151] Schedule generation and notification

[0152] The server generates a proposed work schedule based on the extracted text data, which is then sent to the maintenance staff's smart glasses or smartphones via a messaging system for notification.

[0153] Check and revise the proposed schedule

[0154] Maintenance staff review the proposed schedule and make any necessary adjustments. This review and adjustments are carried out through an interface within the messaging system. Once the staff approves the schedule, it is finalized as the work information.

[0155] Registering schedule information

[0156] The server registers the approved work information in an electronic calendar (for example, Google Calendar or Microsoft Outlook Calendar), so that the work schedules recorded by the maintenance staff by hand are accurately reflected in the digital calendar.

[0157] Specific examples

[0158] Example 1: A maintenance staff member writes a handwritten note saying, "Maintenance for Machine A on October 20th at 3:00 PM." This note is photographed using smart glasses, and the image data is sent to a server via Slack. Using Google Cloud Vision API, text information is extracted from the image, and text information saying, "Maintenance for Machine A on October 20th at 3:00 PM" is generated. This proposed schedule is notified to the staff member's smartphone, who then reviews and approves it. The final information is registered on an electronic calendar, allowing for efficient management of the maintenance schedule.

[0159] Prompt Sentence Examples

[0160] I took a photo of the handwritten notes below. Read the schedule and generate a plan to add to your digital calendar.

[0161] Handwritten note: October 20th, 15:00 Machine A maintenance

[0162] In this way, the present invention provides a system that enables handwritten work schedules to be easily and efficiently digitized and managed using a digital calendar.

[0163] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0164] Step 1:

[0165] A maintenance staff member takes a photo of a handwritten work schedule using smart glasses (terminal). Image data containing the handwritten work schedule is generated as input and temporarily saved in the terminal. Specifically, the camera function of the smart glasses captures the image data.

[0166] Step 2:

[0167] The device (smart glasses) sends the captured image data to a server via a messaging system (e.g., Slack). The input is the image data, and the output is the image data sent through the messaging system. In concrete terms, the application attaches the image data to a message and sends it to the server.

[0168] Step 3:

[0169] The server retrieves image data received via the messaging system. It uses the received image data as input and has image data ready for processing as output. Specifically, the server parses the message and extracts the image data.

[0170] Step 4:

[0171] The server uses an OCR engine such as Google Cloud Vision API to perform character recognition on the received image data. The input is image data, and the output is extracted text information. Specifically, the OCR engine analyzes the image data and extracts handwritten characters in text format.

[0172] Step 5:

[0173] The server analyzes the extracted text information and generates a proposed work schedule. The input is the text information extracted by the OCR engine, and the output is the generated schedule. Specifically, the analysis algorithm classifies the text information into date, time, and work content, and formats it into a schedule format.

[0174] Step 6:

[0175] The server notifies the maintenance staff of the generated schedule proposal via a messaging system. The input is the generated schedule proposal, and the output is the schedule proposal notified to the maintenance staff. In concrete terms, the server sends the schedule proposal to the messaging system and displays it on the staff's device (e.g., smartphone).

[0176] Step 7:

[0177] Maintenance staff check the notified schedule proposal on a terminal (smartphone) and make any necessary corrections. The input is the notified schedule proposal, and the output is the corrected or approved schedule proposal. Specifically, the staff view the schedule proposal through the interface and, if any corrections are required, change the text information as appropriate.

[0178] Step 8:

[0179] The revised or approved schedule plan is sent back to the server via the messaging system. The input is the revised or approved schedule plan, and the output is the final schedule plan sent to the server. Specifically, data is sent from the terminal to the server via the messaging system.

[0180] Step 9:

[0181] The server registers the received final schedule proposal in the electronic calendar. The input is the final schedule proposal, and the output is the schedule information registered in the digital calendar. Specifically, the server registers the schedule information in the calendar using the Google Calendar API, etc.

[0182] 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.

[0183] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion engine. This allows users to easily digitize their handwritten schedules and register them in an electronic calendar, and also responds according to their emotions.

[0184] Program processing flow

[0185] Image data input and transmission

[0186] The user takes a photo of their handwritten schedule and sends the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0187] Image analysis and character recognition

[0188] When the server receives the image data, it uses a character recognition engine (OCR engine) to extract text information from the image, including the date, time, and content of the schedule.

[0189] emotion recognition

[0190] The server analyzes the user's state through voice and text input using an emotion engine, which determines the user's emotional state from the intonation of the voice and the context of the text.

[0191] Schedule generation and notification

[0192] The server analyzes the extracted text information and generates a schedule suggestion. This schedule suggestion is adjusted taking into account the user's emotional state. For example, if the user is irritated, the notification message will be adjusted to a simple and quick format. The generated schedule suggestion is notified to the user via a messaging app.

[0193] Check and revise the proposed schedule

[0194] The user can review the proposed schedule and approve or modify it through a specific interface.

[0195] Registering schedule information

[0196] The server registers the final schedule information that the user has approved or modified in the electronic calendar, thereby digitizing the handwritten schedule and accurately reflecting it in the electronic calendar.

[0197] Specific examples

[0198] Example 1: Considering emotions in registering school events

[0199] A mother handwrites a schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information. Before generating a schedule suggestion, "School Sports Day, March 15th, 10:00," the server uses an emotion engine to determine whether the mother is feeling stressed based on her tone of voice when talking about her child. If the server determines that the mother is feeling stressed, it notifies her in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server registers it in her electronic calendar.

[0200] Example 2: Considering emotions in company meeting registration

[0201] An office worker writes down the schedule for "Department meeting, April 20th, 2:00 PM" by hand and takes a photo of it with their smartphone camera. The image is sent to the server via a messaging app. The server analyzes the image, and an emotion engine recognizes signs of fatigue from the employee's text message. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on the confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar and notifies them that registration is complete.

[0202] In this way, the present invention realizes a system that not only allows for easy and efficient handwritten schedule management, but also provides a better user experience by taking into account the user's emotions.

[0203] The processing flow will be explained below.

[0204] Step 1:

[0205] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0206] Step 2:

[0207] The user takes a photo and sends it via a messaging app. The user opens the messaging app and posts the photo on the chat screen.

[0208] Step 3:

[0209] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0210] Step 4:

[0211] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0212] Step 5:

[0213] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0214] Step 6:

[0215] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0216] Step 7:

[0217] The server recognizes the user's emotions. The server uses an emotion engine to analyze the user's emotional state from voice and text input. For example, it determines stress or fatigue from voice intonation and text context.

[0218] Step 8:

[0219] The server notifies the user of the proposed schedule. The server adjusts the generated schedule based on the user's emotional state. For example, if the user is tired, the message will be delivered in a simple and friendly tone.

[0220] Step 9:

[0221] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0222] Step 10:

[0223] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0224] Step 11:

[0225] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0226] Step 12:

[0227] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0228] Step 13:

[0229] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0230] Through the above processing steps, the user can easily digitize their handwritten schedule and register it in an electronic calendar, while at the same time receiving friendly responses according to the user's emotional state.

[0231] Example 2

[0232] 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."

[0233] There is a demand for efficient and accurate entry of handwritten schedules into electronic calendars, but conventional systems require a lot of manual work, which is time-consuming for users. Furthermore, they are unable to respond to users' mental state and emotions, which can result in a poor user experience. It is desirable to provide a system that solves these issues and is easy to use for users, while also taking their emotions into consideration.

[0234] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0235] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data to extract schedule information, a notification means for proposing the schedule information to a user, an emotion recognition means for analyzing the user's emotional state, an adjustment means for adjusting the proposed schedule based on the emotional state obtained by the emotion recognition means, a confirmation means for the user to confirm and approve or modify the proposed schedule information, and a registration means for registering the approved or modified schedule information in an electronic calendar. This enables efficient digitization of handwritten schedules and flexible response that takes into account the user's emotional state.

[0236] A "handwritten schedule" is schedule information written by hand.

[0237] "Image data" refers to digital images of handwritten schedules taken with a smartphone or other device.

[0238] A "communication line" refers to the infrastructure for sending and receiving data, such as the Internet or mobile phone networks.

[0239] "Input means" refers to the means for sending image data containing handwritten schedules to the server. Specifically, this includes the camera on a smartphone or a messaging app.

[0240] "Character recognition" is the process of analyzing handwritten characters in image data and converting them into digital text.

[0241] "Character recognition means" refers to a means for performing character recognition on image data and extracting schedule information. Specifically, an OCR engine corresponds to this.

[0242] "Schedule information" refers to detailed information about dates and events extracted from handwritten schedules.

[0243] "Notification means" refers to the means by which the extracted schedule information is presented to the user. Specifically, this applies to notifications via messaging apps.

[0244] "Emotion recognition means" means a means for analyzing a user's voice or text message to determine the user's emotional state.

[0245] The "adjustment means" refers to a means for adjusting the schedule proposal based on the emotional state obtained by the emotion recognition means.

[0246] "Confirmation means" refers to the means by which a user can review and approve or modify the proposed schedule information, such as the interface of a messaging app.

[0247] The "registration means" refers to a means for registering approved or corrected schedule information in the electronic calendar.

[0248] An "electronic calendar" is a calendar application used to manage events and appointments in a digital format.

[0249] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion recognition means.

[0250] The user uses the camera of their smartphone to take a picture of their handwritten schedule. The user then sends the image data to a server via a messaging app (e.g., a "messaging application"). This image data is then transferred to the server via a communication line.

[0251] The image data received by the server is processed using an OCR (Optical Character Recognition) engine (commonly known as "character recognition software") to extract text information from the image. This text information includes the date, time, and content of the schedule. As a specific example, the Google Cloud Vision API is used as the character recognition software.

[0252] After extracting the text information, the server uses an emotion recognition engine (e.g., commonly known as "emotion analysis software") to analyze the user's emotional state. To recognize the user's emotion from the voice and text input, the server analyzes the voice intonation and text context. As a specific example, IBM Watson® Tone Analyzer is used as the emotion analysis software.

[0253] The server generates a schedule proposal based on the extracted text information. Taking into account the analysis results of the emotion recognition engine, it adjusts the notification message to a simple and quick format if the user is irritated. The generated schedule proposal is notified to the user via a messaging app.

[0254] The user can review the proposed schedule in the messaging app and approve or modify it. For example, they can approve it by replying, "This schedule is OK." If they need to modify it, they can say, "Please change the time to 11:00."

[0255] Finally, the server registers the final schedule information approved or modified by the user in an electronic calendar (e.g., a digital calendar application). As a specific example, the Google Calendar API is used as the digital calendar application. Once registration is complete, the server notifies the user of the completion of registration and ensures that the schedule is accurately reflected in the electronic calendar.

[0256] Specific examples

[0257] Example 1: Considering emotions in registering school events

[0258] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also uses emotion analysis software to analyze the mother's emotions from the tone of her voice when she talks about her child. If it is determined that the mother is feeling stressed, a notification message is sent in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server uses a digital calendar application to register it on her electronic calendar.

[0259] Example 2: Considering emotions in company meeting registration

[0260] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also analyzes the employee's text message using emotion analysis software to identify signs of fatigue. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on a confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar using a digital calendar application and notifies the employee that registration is complete.

[0261] Prompt Sentence Examples

[0262] "Please analyze the content of this image and extract the schedule information."

[0263] "Analyze user sentiment and tailor your notification messages accordingly."

[0264] "Please register the extracted schedule information in your digital calendar."

[0265] In this way, the system not only enables handwritten schedule management in a simple and efficient manner, but also provides a better user experience by taking into account the user's emotions.

[0266] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0267] Step 1:

[0268] The user takes a photo of their handwritten schedule.

[0269] Input: A piece of paper with a handwritten schedule.

[0270] How it works: The user opens the smartphone camera app and takes a photo of their handwritten schedule. The captured image data is saved in the smartphone's memory.

[0271] Output: Image data of handwritten schedule.

[0272] Step 2:

[0273] The user sends image data to the server.

[0274] Input: Image data of a handwritten schedule.

[0275] How it works: A user opens a messaging application and sends a message containing captured image data, which is then sent over the Internet to a server.

[0276] Output: Image data received by the server.

[0277] Step 3:

[0278] The server receives the image data.

[0279] Input: Image data of handwritten schedule sent via the internet.

[0280] Operation: The server receives the image data as an HTTP request and stores it in its internal memory.

[0281] Output: Image data stored on the server.

[0282] Step 4:

[0283] The server performs character recognition and extracts text information.

[0284] Input: Image data of handwritten schedule stored on the server.

[0285] How it works: The server inputs the image data into an OCR engine (e.g., commonly known as "character recognition software") and performs character recognition. It analyzes the handwritten characters and extracts text information. For example, it extracts information such as "March 15th, 10:00, school sports day."

[0286] Output: The extracted text information.

[0287] Step 5:

[0288] The server analyzes the user's emotional state.

[0289] Input: User voice or text input.

[0290] How it works: The server inputs voice data and text messages into an emotion engine (e.g., generically called "emotion analysis software") to determine the user's emotional state, e.g., detecting stress or fatigue from voice intonation and text context.

[0291] Output: Data about the user's emotional state.

[0292] Step 6:

[0293] The server generates a proposed schedule.

[0294] Input: Extracted text information and user emotional state data.

[0295] How it works: The server analyzes the extracted text information and generates schedule suggestions taking into account the user's emotional state. For example, if a user is feeling stressed, the system will adjust the notification format of a schedule such as "School sports day, March 15th, 10:00 AM" to a simpler one.

[0296] Output: The generated schedule proposal.

[0297] Step 7:

[0298] The server notifies the proposed schedule.

[0299] Input: The generated schedule proposal.

[0300] How it works: The server generates a schedule proposal and notifies the user via a messaging application. A notification is sent to the user's smartphone.

[0301] Output: The proposed schedule notified to the user.

[0302] Step 8:

[0303] The user reviews the proposed schedule and approves or modifies it.

[0304] Input: The proposed schedule that the user was notified of.

[0305] What happens: The user opens a messaging app and sees the proposed schedule. The user presses the approve button or sends a message requesting a change. They can say something like, "Please change the time to 11:00."

[0306] Output: Instructions for user approval or correction.

[0307] Step 9:

[0308] The server receives the user's approval or modification instructions and generates the final schedule information.

[0309] Input: User approval or correction instructions.

[0310] Operation: The server receives approval or modification instructions from the user and generates the final schedule information. For example, following the modification instructions, it may become "March 15th, 11:00, School Sports Day."

[0311] Output: Final schedule information.

[0312] Step 10:

[0313] The server registers the final schedule information in the electronic calendar.

[0314] Input: Final schedule information.

[0315] How it works: The server inputs the final schedule information into a digital calendar application (e.g., a "Calendar API") and sends a registration request. For example, a POST request is sent to the Google Calendar API with the information "March 15th, 11:00 AM School Sports Day."

[0316] Output: Schedule information registered in an electronic calendar.

[0317] Step 11:

[0318] The server notifies the user that registration is complete.

[0319] Input: Schedule information registered in an electronic calendar.

[0320] Behavior: The server notifies the user that the schedule has been successfully registered. For example, it notifies the user via a messaging application that "The schedule has been registered in the calendar."

[0321] Output: User notified that registration is complete.

[0322] As described above, this system efficiently digitizes handwritten schedules and can also flexibly respond by taking into account the user's emotional state.

[0323] (Application example 2)

[0324] 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."

[0325] Conventional handwritten schedule management systems have been unable to consider user emotions during the digitization process of handwritten schedules, resulting in a poor user experience. Additionally, in store operations, managing employee shifts can easily become complicated, making efficient schedule management difficult. The present invention aims to solve these issues by simplifying the digitization process of handwritten schedules and providing a better user experience by considering user emotions.

[0326] 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.

[0327] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data and extracting schedule information, a notification means for proposing the schedule information to a user, a confirmation means for the user to confirm and approve or modify the proposed schedule information, a registration means for registering the approved or modified schedule information in an electronic calendar, an emotion recognition means for analyzing the user's emotions, an adjustment means for adjusting the proposed schedule in consideration of the emotion information obtained by the emotion recognition means, and a push notification means for notifying the user of the proposed schedule. This enables quick and efficient digitization of handwritten schedules and further realizes schedule management that takes user emotions into consideration.

[0328] A "handwritten schedule" is a schedule that is physically written using analog means such as paper or a whiteboard.

[0329] "Image data" refers to data that captures a handwritten schedule as a digital image using a device such as a camera or scanner.

[0330] A "communication line" is a path for sending and receiving data over the Internet, a local network, etc.

[0331] "Input means" refers to a device or application that allows a user to take a photo of a handwritten schedule and send the image data to a server via a communication line.

[0332] "Character recognition" is the process of extracting text information from image data, typically using OCR (Optical Character Recognition) technology.

[0333] "Character recognition means" refers to a device or software that analyzes handwritten text contained in image data and extracts schedule information as digital text.

[0334] "Schedule information" is specific data relating to the date, time, and content of a schedule.

[0335] The "notification means" refers to a device or application that notifies the user of the extracted schedule information.

[0336] "Verification means" means a device or interface that allows a user to review and approve or modify proposed schedule information.

[0337] "Registration means" refers to a device or software for registering schedule information approved or modified by a user in an electronic calendar.

[0338] "Emotion recognition means" refers to devices or software that analyze a user's emotional state from their voice or text.

[0339] The "adjustment means" refers to a device or software that adjusts the schedule proposal taking into account the emotional information obtained by the emotion recognition means.

[0340] "Push notification means" means a device or software for automatically sending generated schedule suggestions to a user's device.

[0341] An "electronic calendar" is a calendar application or system that is maintained in digital form.

[0342] The system for implementing this invention streamlines the process by which store clerks and managers can take a photo of their handwritten shift schedule with a smartphone or tablet, digitize it, and register it in an electronic calendar. Furthermore, the system provides a better user experience by recognizing the user's emotions and adjusting schedule suggestions accordingly.

[0343] System configuration

[0344] Hardware

[0345] Smartphone / tablet: Used by store associates and managers to take photos of handwritten shift schedules.

[0346] Server: Analyzes image data, recognizes characters and emotions, generates schedule suggestions, notifies users, and registers them in an electronic calendar.

[0347] software

[0348] OCR engine: Used to recognize characters from image data. A typical example is the Google Cloud Vision API.

[0349] Emotion recognition engine: Used to analyze emotions from voice and text. A typical example is IBM Watson Tone Analyzer.

[0350] Communication line: Network infrastructure for sending image data from the smartphone to the server and for sending notifications from the server to the smartphone.

[0351] Push notification system: Notify users of schedule suggestions using Firebase Cloud Messaging or similar.

[0352] Electronic calendar API: Register schedule information using Google Calendar API, etc.

[0353] Program processing

[0354] 1. Input of image data

[0355] The user (a store clerk or manager) takes a photo of a handwritten shift schedule using the camera on their smartphone or tablet, and the captured image data is sent to the server via a messaging app.

[0356] 2. Image analysis and character recognition

[0357] The server performs character recognition (OCR) on the image data it receives and extracts text information such as the shift date, time, and content. It uses the Google Cloud Vision API to analyze and recognize handwritten characters in the image.

[0358] 3. Emotion recognition

[0359] The server performs emotion recognition based on the voice or text data received from the user, using emotion recognition engines such as IBM Watson Tone Analyzer to detect, for example, fatigue or stress.

[0360] 4. Schedule proposal generation and notification

[0361] Generate schedule suggestions using the extracted text information, adjust the schedule taking into account the emotion recognition results in a way that is easy for the user to review, and send the schedule suggestions to the user via push notifications via Firebase Cloud Messaging.

[0362] 5. Check and correct the schedule

[0363] Users can review the proposed schedule on their smartphone application, make any necessary corrections, and finally approve it.

[0364] 6. Electronic calendar registration

[0365] The approved schedule information is registered in the electronic calendar via the Google Calendar API, and all employees are notified that registration has been completed.

[0366] Specific examples

[0367] Shift schedule management example

[0368] Employee A handwrites the next month's shift schedule, then takes a photo of it with their smartphone camera and uploads it. The server receives the image data and uses the Google Cloud Vision API to recognize it as "November 5th, 9:00-18:00 shift." Furthermore, an emotion recognition engine detects fatigue levels from the user's voice and text at the time of uploading. The system generates a proposed schedule in a simple, easy-to-view format and sends a push notification to the user via Firebase Cloud Messaging. Manager B then checks the schedule on their smartphone and finally registers the shift using the Google Calendar API.

[0369] Example prompts for generative AI models

[0370] Billing model: OpenAI(R) GPT-4(R)

[0371] prompt:

[0372] "The store staff took a photo of their handwritten shift schedule with their smartphone and uploaded it to the app. The OCR engine analyzed it to extract the shift details, and the sentiment analysis engine recognized the staff's fatigue. Please provide the schedule proposal in a simple, easy-to-read format. Once the store manager has reviewed and approved it, please add it to Google Calendar and notify all employees."

[0373] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0374] Step 1:

[0375] A user (a store clerk or manager) takes a photo of a handwritten shift schedule with a smartphone camera and saves it as image data. The user then sends the image data to a server via a messaging app. The input is the image data of the handwritten schedule, and the output is the transmission of the image data to the server.

[0376] Step 2:

[0377] The server passes the image data received via the communication line to a character recognition means (Google Cloud Vision API) for character recognition. The input is the received image data, and the output is the extracted schedule information (text data).

[0378] Step 3:

[0379] The server passes the user's voice data and text messages to an emotion recognition unit (IBM Watson Tone Analyzer) for emotion analysis. The input is the voice data or text message, and the output is the user's emotional state (fatigue, stress, etc.)

[0380] Step 4:

[0381] The server generates schedule proposals based on the schedule information extracted as a result of character recognition and the emotion analysis results. Taking the emotion analysis results into account, it makes adjustments according to the user's emotional state. The input is the schedule information and the emotional state, and the output is the adjusted schedule proposal.

[0382] Step 5:

[0383] The server sends the generated schedule proposal to the user's smartphone via a push notification mechanism (Firebase Cloud Messaging). The input is the adjusted schedule proposal, and the output is the push notification sent to the user.

[0384] Step 6:

[0385] The user checks the schedule proposal received on the smartphone application and makes any necessary corrections. The corrections are then sent to the server. The input is the proposed schedule information, and the output is the schedule information confirmed and corrected by the user.

[0386] Step 7:

[0387] The server registers the final schedule information approved or modified by the user in the electronic calendar via the electronic calendar API (Google Calendar API). The input is the final schedule information, and the output is the shift schedule registered in the electronic calendar.

[0388] Step 8:

[0389] The server sends a notification of the completion of registration to the user and all other parties. The input is the status information of the completion of registration, and the output is the notification of the completion of registration.

[0390] 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.

[0391] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0392] 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.

[0393] [Second embodiment]

[0394] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0395] 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.

[0396] 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).

[0397] 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.

[0398] 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.

[0399] 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).

[0400] 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. 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.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] 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.

[0405] 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."

[0406] This invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules. Specifically, it is realized by having a user take a photo of the handwritten schedule using a device such as a smartphone and send the image to a server via a communication line. The key elements of this system are various means: input means, character recognition means, notification means, confirmation means, and registration means, which work together to enable simple and accurate schedule management.

[0407] Program processing flow

[0408] Image data input and transmission

[0409] Users take a photo of their handwritten schedule and send the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0410] Image analysis and character recognition

[0411] When the image data arrives at the server, the server uses its built-in character recognition engine (OCR engine) to extract the text information from the image, including the date, time, and content of the schedule.

[0412] Schedule generation and notification

[0413] The server analyzes the extracted text information and generates a schedule proposal, which is then sent to the user via a messaging app. The notification includes the schedule content, date and time, and is displayed in a format that the user can view.

[0414] Check and revise the proposed schedule

[0415] The user can review the proposed schedule and make any necessary changes through the messaging app's interface. Once the user approves the schedule, the details are confirmed as the final schedule information.

[0416] Registering schedule information

[0417] The server registers the final schedule information approved by the user in the electronic calendar, which digitizes the handwritten schedule and accurately reflects it in the electronic calendar.

[0418] Specific examples

[0419] Example 1: Registering a school event

[0420] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," and generates a proposed schedule. The mother checks the proposed schedule, verifies its accuracy, and approves it. The final information is registered on an electronic calendar from the server, allowing the mother to efficiently manage her schedule.

[0421] Example 2: Registering a company meeting

[0422] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image, extracts the text information "Department meeting, April 20th, 2:00 PM," and generates a proposed schedule. The office worker checks the proposed schedule and approves it if there are no errors. This schedule information is then registered in an electronic calendar, allowing the office worker to easily update the schedule from their handwritten notes to their digital calendar.

[0423] In this way, the present invention provides a system that allows for easy and efficient management of handwritten schedules, enabling many users to benefit from the digitization of their handwritten schedules.

[0424] The processing flow will be explained below.

[0425] Step 1:

[0426] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0427] Step 2:

[0428] The user sends the image they have taken via a messaging app. The user opens a messaging app (e.g., LINE) and posts the image they have taken on the chat screen.

[0429] Step 3:

[0430] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0431] Step 4:

[0432] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0433] Step 5:

[0434] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0435] Step 6:

[0436] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0437] Step 7:

[0438] The server notifies the user of the proposed schedule, and then sends the generated schedule to the user via a messaging app for approval or modification.

[0439] Step 8:

[0440] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0441] Step 9:

[0442] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0443] Step 10:

[0444] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0445] Step 11:

[0446] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0447] Step 12:

[0448] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0449] Through the above processing steps, the user can easily digitize his / her handwritten schedule and register it in an electronic calendar.

[0450] Example 1

[0451] 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."

[0452] Previously, registering handwritten schedules in an electronic calendar required manual input, which was time-consuming and labor-intensive. Manual input also introduced the risk of errors, making accurate schedule management difficult. To solve these problems, a system was needed that could efficiently and accurately register handwritten schedules in an electronic calendar.

[0453] 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.

[0454] In this invention, the server includes input means for transmitting image data containing a handwritten schedule via a communication line, character recognition means for performing character recognition on the image data and extracting schedule information, means for analyzing the schedule information and generating a proposed schedule, notification means for notifying a user of the generated proposed schedule, confirmation means for the user to confirm the proposed schedule and make corrections as necessary, and registration means for registering the approved or corrected schedule information in an electronic calendar. This makes it possible to efficiently and accurately register handwritten schedules in an electronic calendar.

[0455] "Image data" is a digital file containing pictorial information of a handwritten schedule.

[0456] A "communication line" is an infrastructure for transmitting and receiving data between remote terminals.

[0457] The "input means" is a device or application that allows a user to take a picture of a handwritten schedule and transmit the image data to a server via a communication line.

[0458] "Character recognition means" refers to software or an engine that has the function of extracting schedule information by using optical character recognition (OCR) technology on image data.

[0459] "Schedule information" is text information including dates and times and event details extracted from a handwritten schedule.

[0460] The "analysis means" is an algorithm or program for generating a schedule proposal based on the extracted schedule information.

[0461] The "notification means" is a device or application for notifying the user of the generated schedule proposal.

[0462] A "verification means" is an interface or application that allows a user to review the proposed schedule and make corrections as necessary.

[0463] The "registration means" is software or an engine that has the function of registering schedule information that has been confirmed and approved by the user in the electronic calendar.

[0464] An "electronic calendar" is an application or service for managing events and appointments in a digital format.

[0465] The present invention is a system that automatically registers handwritten schedules in an electronic calendar. This system is implemented primarily using the user's smartphone, a server, a messaging app, and an electronic calendar application.

[0466] Image data input and transmission

[0467] First, the user takes a photo of their handwritten schedule using their smartphone's camera. For example, they can use the iOS Camera app or the standard Android camera app. Then, they open a messaging app (e.g., LINE or WhatsApp) and send the image data they took as a message. This image data is then transferred to the server via a communication line.

[0468] Image analysis and character recognition

[0469] The server temporarily stores the received image data. Then, it calls an OCR engine (such as the Google OCR API or the tesseract library) to extract text information from the image. The extracted text information includes the date, time, and content of the schedule.

[0470] Schedule generation and notification

[0471] The server analyzes the text information obtained from the OCR engine and generates a proposed schedule. This proposed schedule is then notified to the user via a messaging app. For example, using the LINE API or WhatsApp API, a message such as "Proposed schedule generated: March 15th, 10:00 School Sports Day" is sent to the user.

[0472] Check and revise the proposed schedule

[0473] The user checks the proposed schedule in the messaging app. If necessary, the user can send a message to the server requesting corrections. For example, the user could request a correction such as, "The date and time is incorrect. Please change it to March 16th." The server receives the corrections and updates the proposed schedule.

[0474] Registering schedule information

[0475] The server registers the final approved schedule information with an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). It calls the API to input the necessary information (date, time, content, etc.) and sends a request to create an event in the calendar. The user can open the electronic calendar app and check that the new schedule has been added correctly.

[0476] As a concrete example, a mother writes down the schedule for her child's school event, "School Sports Day, March 15th, 10:00," by hand and takes a photo of it with her smartphone camera. Next, she sends the image to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," generates a schedule proposal, and notifies the mother. The mother then checks and approves the proposed schedule. The final information is then registered in Google Calendar from the server, allowing the mother to efficiently manage her schedule.

[0477] An example of a prompt in a generative AI model is "Please analyze the following handwritten schedule image, extract text information, and generate a schedule proposal: <image data>." This prompt can unify the behavior of the entire system.

[0478] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0479] Step 1:

[0480] The user takes a photo of the handwritten schedule using the smartphone camera. Specifically, they use the iOS Camera app or the standard Android camera app. The input for this step is a physical image of the handwritten schedule, and the output is image data stored in the smartphone.

[0481] Step 2:

[0482] The user sends the captured image data to the server via a messaging app (e.g., LINE, WhatsApp). Specifically, the user opens the messaging app, selects the server's chatbot account as the destination, and sends the image. The input for this step is the image data stored in the smartphone, and the output is the image data sent to the server via the communication line.

[0483] Step 3:

[0484] The server temporarily stores the received image data. Specifically, it executes a script that stores the image data in a specific directory on the server. The input of this step is the image data sent to the server, and the output is an image file stored on the server.

[0485] Step 4:

[0486] The server uses an OCR engine (e.g., Google OCR API or tesseract library) to extract text information from image data. Specifically, it sends image data to the OCR engine and receives text data in JSON format as a response. The input for this step is the image file stored on the server, and the output is the extracted text information.

[0487] Step 5:

[0488] The server analyzes the acquired text information and generates a proposed schedule. Specifically, it executes an algorithm to analyze the text information, extracts dates and times and event details, and formats them. The input of this step is the extracted text information, and the output is a formatted proposed schedule.

[0489] Step 6:

[0490] The server notifies the user of the generated schedule proposal via a messaging app. Specifically, it uses a messaging API to send the schedule proposal to the user. For example, it uses the LINE API or WhatsApp API to send a message such as "Schedule proposal generated: March 15th, 10:00 School Sports Day." The input of this step is the formatted schedule proposal, and the output is the notification message sent to the user.

[0491] Step 7:

[0492] The user checks the proposed schedule notified via the messaging app and makes corrections as necessary. Specifically, the user replies to the message with instructions to correct the schedule, such as "The date and time is incorrect. Please change it to March 16th." The input to this step is the notification message sent to the user, and the output is the message from the user with instructions to correct the schedule.

[0493] Step 8:

[0494] The server updates the proposed schedule based on the modifications received from the user. Specifically, it analyzes the modifications from the user and executes an algorithm to generate an updated proposed schedule. The input of this step is the modification message from the user, and the output is the updated proposed schedule.

[0495] Step 9:

[0496] The user sends a reply message for final confirmation and approval. Specifically, they send a message saying, "I'm happy with this schedule." The input of this step is the updated schedule proposal, and the output is the user's approval message.

[0497] Step 10:

[0498] The server registers the approved final schedule information in an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). Specifically, it calls the API, inputs the required information (date, time, content, etc.), and sends a request to create an event in the calendar. The input to this step is the user's approval message, and the output is the event registered in the electronic calendar.

[0499] This allows handwritten schedules to be efficiently and accurately registered in an electronic calendar.

[0500] (Application example 1)

[0501] 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."

[0502] With conventional factory management systems, managing schedules for maintenance work and sudden machine breakdowns was cumbersome, requiring the time-consuming manual entry of handwritten notes into a digital calendar, which led to scheduling errors, delays in the transmission of information, and reduced work efficiency.

[0503] 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.

[0504] In this invention, the server includes an input means for transmitting image data containing handwritten work schedules via a communication line, a character recognition means for performing character recognition on the image data and extracting work information, and a notification means for suggesting the work information to the worker. This makes it possible for maintenance staff to take a photo of the work schedules handwritten by the staff and automatically register them in the electronic calendar.

[0505] "Image data containing handwritten work schedules" refers to digital images taken with a smart device of handwritten schedules for maintenance work within a factory and for responding to machine breakdowns.

[0506] A "communication line" is a network infrastructure for sending and receiving data, including the Internet and dedicated lines.

[0507] The "input means" is a method for capturing a handwritten work plan as a digital image and transmitting the image data to a server. Specifically, this applies to smart glasses or a smartphone.

[0508] "Character recognition means" is a technology for analyzing handwritten character information from image data and extracting it as text data. Specifically, an OCR engine falls into this category.

[0509] "Work information" is text data about the content and date of maintenance work or machine failure response extracted from handwritten image data.

[0510] The "notification means" refers to a method for notifying maintenance staff of the extracted and analyzed work information. Specifically, this applies to a messaging system.

[0511] The "confirmation means" is a method by which the worker can confirm the notified work information and make corrections or approvals as necessary. This corresponds to an interface within the messaging system.

[0512] The "registration method" is a method for recording approved work information in a digital calendar. The electronic calendar API corresponds to this.

[0513] "Messaging systems" are communication tools for sending and receiving text messages, including Slack and Microsoft Teams.

[0514] A "digital calendar" is an electronic schedule management system, including Google Calendar and Microsoft Outlook Calendar.

[0515] This invention is a system that efficiently registers work schedules in a digital calendar using image data containing handwritten work schedules. Specifically, maintenance staff use input devices such as smart glasses to take a photo of the handwritten work schedule and then send the image data to a server via a messaging system. The following elements are particularly important in this system:

[0516] Image data input and transmission

[0517] Maintenance staff use smart glasses to capture handwritten work schedules, and the image data is sent to a server over a communication line via a messaging system (e.g., Slack or Microsoft Teams).

[0518] Image analysis and character recognition

[0519] The server analyzes the received image data. Specifically, it uses an OCR engine such as Google Cloud Vision API to extract handwritten text from the image. This character recognition method generates text data containing the details of the maintenance work or machine failure response, as well as the date and time.

[0520] Schedule generation and notification

[0521] The server generates a proposed work schedule based on the extracted text data, which is then sent to the maintenance staff's smart glasses or smartphones via a messaging system for notification.

[0522] Check and revise the proposed schedule

[0523] Maintenance staff review the proposed schedule and make any necessary adjustments. This review and adjustments are carried out through an interface within the messaging system. Once the staff approves the schedule, it is finalized as the work information.

[0524] Registering schedule information

[0525] The server registers the approved work information in an electronic calendar (for example, Google Calendar or Microsoft Outlook Calendar), so that the work schedules recorded by the maintenance staff by hand are accurately reflected in the digital calendar.

[0526] Specific examples

[0527] Example 1: A maintenance staff member writes a handwritten note saying, "Maintenance for Machine A on October 20th at 3:00 PM." This note is photographed using smart glasses, and the image data is sent to a server via Slack. Using Google Cloud Vision API, text information is extracted from the image, and text information saying, "Maintenance for Machine A on October 20th at 3:00 PM" is generated. This proposed schedule is notified to the staff member's smartphone, who then reviews and approves it. The final information is registered on an electronic calendar, allowing for efficient management of the maintenance schedule.

[0528] Prompt Sentence Examples

[0529] I took a photo of the handwritten notes below. Read the schedule and generate a plan to add to your digital calendar.

[0530] Handwritten note: October 20th, 15:00 Machine A maintenance

[0531] In this way, the present invention provides a system that enables handwritten work schedules to be easily and efficiently digitized and managed using a digital calendar.

[0532] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0533] Step 1:

[0534] A maintenance staff member takes a photo of a handwritten work schedule using smart glasses (terminal). Image data containing the handwritten work schedule is generated as input and temporarily saved in the terminal. Specifically, the camera function of the smart glasses captures the image data.

[0535] Step 2:

[0536] The device (smart glasses) sends the captured image data to a server via a messaging system (e.g., Slack). The input is the image data, and the output is the image data sent through the messaging system. In concrete terms, the application attaches the image data to a message and sends it to the server.

[0537] Step 3:

[0538] The server retrieves image data received via the messaging system. It uses the received image data as input and has image data ready for processing as output. Specifically, the server parses the message and extracts the image data.

[0539] Step 4:

[0540] The server uses an OCR engine such as Google Cloud Vision API to perform character recognition on the received image data. The input is image data, and the output is extracted text information. Specifically, the OCR engine analyzes the image data and extracts handwritten characters in text format.

[0541] Step 5:

[0542] The server analyzes the extracted text information and generates a proposed work schedule. The input is the text information extracted by the OCR engine, and the output is the generated schedule. Specifically, the analysis algorithm classifies the text information into date, time, and work content, and formats it into a schedule format.

[0543] Step 6:

[0544] The server notifies the maintenance staff of the generated schedule proposal via a messaging system. The input is the generated schedule proposal, and the output is the schedule proposal notified to the maintenance staff. In concrete terms, the server sends the schedule proposal to the messaging system and displays it on the staff's device (e.g., smartphone).

[0545] Step 7:

[0546] Maintenance staff check the notified schedule proposal on a terminal (smartphone) and make any necessary corrections. The input is the notified schedule proposal, and the output is the corrected or approved schedule proposal. Specifically, the staff view the schedule proposal through the interface and, if any corrections are required, change the text information as appropriate.

[0547] Step 8:

[0548] The revised or approved schedule plan is sent back to the server via the messaging system. The input is the revised or approved schedule plan, and the output is the final schedule plan sent to the server. Specifically, data is sent from the terminal to the server via the messaging system.

[0549] Step 9:

[0550] The server registers the received final schedule proposal in the electronic calendar. The input is the final schedule proposal, and the output is the schedule information registered in the digital calendar. Specifically, the server registers the schedule information in the calendar using the Google Calendar API, etc.

[0551] 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.

[0552] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion engine. This allows users to easily digitize their handwritten schedules and register them in an electronic calendar, and also responds according to their emotions.

[0553] Program processing flow

[0554] Image data input and transmission

[0555] The user takes a photo of their handwritten schedule and sends the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0556] Image analysis and character recognition

[0557] When the server receives the image data, it uses a character recognition engine (OCR engine) to extract text information from the image, including the date, time, and content of the schedule.

[0558] emotion recognition

[0559] The server analyzes the user's state through voice and text input using an emotion engine, which determines the user's emotional state from the intonation of the voice and the context of the text.

[0560] Schedule generation and notification

[0561] The server analyzes the extracted text information and generates a schedule suggestion. This schedule suggestion is adjusted taking into account the user's emotional state. For example, if the user is irritated, the notification message will be adjusted to a simple and quick format. The generated schedule suggestion is notified to the user via a messaging app.

[0562] Check and revise the proposed schedule

[0563] The user can review the proposed schedule and approve or modify it through a specific interface.

[0564] Registering schedule information

[0565] The server registers the final schedule information that the user has approved or modified in the electronic calendar, thereby digitizing the handwritten schedule and accurately reflecting it in the electronic calendar.

[0566] Specific examples

[0567] Example 1: Considering emotions in registering school events

[0568] A mother handwrites a schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information. Before generating a schedule suggestion, "School Sports Day, March 15th, 10:00," the server uses an emotion engine to determine whether the mother is feeling stressed based on her tone of voice when talking about her child. If the server determines that the mother is feeling stressed, it notifies her in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server registers it in her electronic calendar.

[0569] Example 2: Considering emotions in company meeting registration

[0570] An office worker writes down the schedule for "Department meeting, April 20th, 2:00 PM" by hand and takes a photo of it with their smartphone camera. The image is sent to the server via a messaging app. The server analyzes the image, and an emotion engine recognizes signs of fatigue from the employee's text message. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on the confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar and notifies them that registration is complete.

[0571] In this way, the present invention realizes a system that not only allows for easy and efficient handwritten schedule management, but also provides a better user experience by taking into account the user's emotions.

[0572] The processing flow will be explained below.

[0573] Step 1:

[0574] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0575] Step 2:

[0576] The user takes a photo and sends it via a messaging app. The user opens the messaging app and posts the photo on the chat screen.

[0577] Step 3:

[0578] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0579] Step 4:

[0580] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0581] Step 5:

[0582] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0583] Step 6:

[0584] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0585] Step 7:

[0586] The server recognizes the user's emotions. The server uses an emotion engine to analyze the user's emotional state from voice and text input. For example, it determines stress or fatigue from voice intonation and text context.

[0587] Step 8:

[0588] The server notifies the user of the proposed schedule. The server adjusts the generated schedule based on the user's emotional state. For example, if the user is tired, the message will be delivered in a simple and friendly tone.

[0589] Step 9:

[0590] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0591] Step 10:

[0592] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0593] Step 11:

[0594] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0595] Step 12:

[0596] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0597] Step 13:

[0598] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0599] Through the above processing steps, the user can easily digitize their handwritten schedule and register it in an electronic calendar, while at the same time receiving friendly responses according to the user's emotional state.

[0600] Example 2

[0601] 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."

[0602] There is a demand for efficient and accurate entry of handwritten schedules into electronic calendars, but conventional systems require a lot of manual work, which is time-consuming for users. Furthermore, they are unable to respond to users' mental state and emotions, which can result in a poor user experience. It is desirable to provide a system that solves these issues and is easy to use for users, while also taking their emotions into consideration.

[0603] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0604] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data to extract schedule information, a notification means for proposing the schedule information to a user, an emotion recognition means for analyzing the user's emotional state, an adjustment means for adjusting the proposed schedule based on the emotional state obtained by the emotion recognition means, a confirmation means for the user to confirm and approve or modify the proposed schedule information, and a registration means for registering the approved or modified schedule information in an electronic calendar. This enables efficient digitization of handwritten schedules and flexible response that takes into account the user's emotional state.

[0605] A "handwritten schedule" is schedule information written by hand.

[0606] "Image data" refers to digital images of handwritten schedules taken with a smartphone or other device.

[0607] A "communication line" refers to the infrastructure for sending and receiving data, such as the Internet or mobile phone networks.

[0608] "Input means" refers to the means for sending image data containing handwritten schedules to the server. Specifically, this includes the camera on a smartphone or a messaging app.

[0609] "Character recognition" is the process of analyzing handwritten characters in image data and converting them into digital text.

[0610] "Character recognition means" refers to a means for performing character recognition on image data and extracting schedule information. Specifically, an OCR engine corresponds to this.

[0611] "Schedule information" refers to detailed information about dates and events extracted from handwritten schedules.

[0612] "Notification means" refers to the means by which the extracted schedule information is presented to the user. Specifically, this applies to notifications via messaging apps.

[0613] "Emotion recognition means" means a means for analyzing a user's voice or text message to determine the user's emotional state.

[0614] The "adjustment means" refers to a means for adjusting the schedule proposal based on the emotional state obtained by the emotion recognition means.

[0615] "Confirmation means" refers to the means by which a user can review and approve or modify the proposed schedule information, such as the interface of a messaging app.

[0616] The "registration means" refers to a means for registering approved or corrected schedule information in the electronic calendar.

[0617] An "electronic calendar" is a calendar application used to manage events and appointments in a digital format.

[0618] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion recognition means.

[0619] The user uses the camera of their smartphone to take a picture of their handwritten schedule. The user then sends the image data to a server via a messaging app (e.g., a "messaging application"). This image data is then transferred to the server via a communication line.

[0620] The image data received by the server is processed using an OCR (Optical Character Recognition) engine (commonly known as "character recognition software") to extract text information from the image. This text information includes the date, time, and content of the schedule. As a specific example, the Google Cloud Vision API is used as the character recognition software.

[0621] After extracting the text information, the server uses an emotion recognition engine (e.g., commonly known as "emotion analysis software") to analyze the user's emotional state. To recognize the user's emotion from voice or text input, the server analyzes the intonation of the voice and the context of the text. As a specific example, IBM Watson Tone Analyzer is used as emotion analysis software.

[0622] The server generates a schedule proposal based on the extracted text information. Taking into account the analysis results of the emotion recognition engine, it adjusts the notification message to a simple and quick format if the user is irritated. The generated schedule proposal is notified to the user via a messaging app.

[0623] The user can review the proposed schedule in the messaging app and approve or modify it. For example, they can approve it by replying, "This schedule is OK." If they need to modify it, they can say, "Please change the time to 11:00."

[0624] Finally, the server registers the final schedule information approved or modified by the user in an electronic calendar (e.g., a digital calendar application). As a specific example, the Google Calendar API is used as the digital calendar application. Once registration is complete, the server notifies the user of the completion of registration and ensures that the schedule is accurately reflected in the electronic calendar.

[0625] Specific examples

[0626] Example 1: Considering emotions in registering school events

[0627] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also uses emotion analysis software to analyze the mother's emotions from the tone of her voice when she talks about her child. If it is determined that the mother is feeling stressed, a notification message is sent in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server uses a digital calendar application to register it on her electronic calendar.

[0628] Example 2: Considering emotions in company meeting registration

[0629] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also analyzes the employee's text message using emotion analysis software to identify signs of fatigue. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on a confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar using a digital calendar application and notifies the employee that registration is complete.

[0630] Prompt Sentence Examples

[0631] "Please analyze the content of this image and extract the schedule information."

[0632] "Analyze user sentiment and tailor your notification messages accordingly."

[0633] "Please register the extracted schedule information in your digital calendar."

[0634] In this way, the system not only enables handwritten schedule management in a simple and efficient manner, but also provides a better user experience by taking into account the user's emotions.

[0635] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0636] Step 1:

[0637] The user takes a photo of their handwritten schedule.

[0638] Input: A piece of paper with a handwritten schedule.

[0639] How it works: The user opens the smartphone camera app and takes a photo of their handwritten schedule. The captured image data is saved in the smartphone's memory.

[0640] Output: Image data of handwritten schedule.

[0641] Step 2:

[0642] The user sends image data to the server.

[0643] Input: Image data of a handwritten schedule.

[0644] How it works: A user opens a messaging application and sends a message containing captured image data, which is then sent over the Internet to a server.

[0645] Output: Image data received by the server.

[0646] Step 3:

[0647] The server receives the image data.

[0648] Input: Image data of handwritten schedule sent via the internet.

[0649] Operation: The server receives the image data as an HTTP request and stores it in its internal memory.

[0650] Output: Image data stored on the server.

[0651] Step 4:

[0652] The server performs character recognition and extracts text information.

[0653] Input: Image data of handwritten schedule stored on the server.

[0654] How it works: The server inputs the image data into an OCR engine (e.g., commonly known as "character recognition software") and performs character recognition. It analyzes the handwritten characters and extracts text information. For example, it extracts information such as "March 15th, 10:00, school sports day."

[0655] Output: The extracted text information.

[0656] Step 5:

[0657] The server analyzes the user's emotional state.

[0658] Input: User voice or text input.

[0659] How it works: The server inputs voice data and text messages into an emotion engine (e.g., generically called "emotion analysis software") to determine the user's emotional state, e.g., detecting stress or fatigue from voice intonation and text context.

[0660] Output: Data about the user's emotional state.

[0661] Step 6:

[0662] The server generates a proposed schedule.

[0663] Input: Extracted text information and user emotional state data.

[0664] How it works: The server analyzes the extracted text information and generates schedule suggestions taking into account the user's emotional state. For example, if a user is feeling stressed, the system will adjust the notification format of a schedule such as "School sports day, March 15th, 10:00 AM" to a simpler one.

[0665] Output: The generated schedule proposal.

[0666] Step 7:

[0667] The server notifies the proposed schedule.

[0668] Input: The generated schedule proposal.

[0669] How it works: The server generates a schedule proposal and notifies the user via a messaging application. A notification is sent to the user's smartphone.

[0670] Output: The proposed schedule notified to the user.

[0671] Step 8:

[0672] The user reviews the proposed schedule and approves or modifies it.

[0673] Input: The proposed schedule that the user was notified of.

[0674] What happens: The user opens a messaging app and sees the proposed schedule. The user presses the approve button or sends a message requesting a change. They can say something like, "Please change the time to 11:00."

[0675] Output: Instructions for user approval or correction.

[0676] Step 9:

[0677] The server receives the user's approval or modification instructions and generates the final schedule information.

[0678] Input: User approval or correction instructions.

[0679] Operation: The server receives approval or modification instructions from the user and generates the final schedule information. For example, following the modification instructions, it may become "March 15th, 11:00, School Sports Day."

[0680] Output: Final schedule information.

[0681] Step 10:

[0682] The server registers the final schedule information in the electronic calendar.

[0683] Input: Final schedule information.

[0684] How it works: The server inputs the final schedule information into a digital calendar application (e.g., a "Calendar API") and sends a registration request. For example, a POST request is sent to the Google Calendar API with the information "March 15th, 11:00 AM School Sports Day."

[0685] Output: Schedule information registered in an electronic calendar.

[0686] Step 11:

[0687] The server notifies the user that registration is complete.

[0688] Input: Schedule information registered in an electronic calendar.

[0689] Behavior: The server notifies the user that the schedule has been successfully registered. For example, it notifies the user via a messaging application that "The schedule has been registered in the calendar."

[0690] Output: User notified that registration is complete.

[0691] As described above, this system efficiently digitizes handwritten schedules and can also flexibly respond by taking into account the user's emotional state.

[0692] (Application example 2)

[0693] 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."

[0694] Conventional handwritten schedule management systems have been unable to consider user emotions during the digitization process of handwritten schedules, resulting in a poor user experience. Additionally, in store operations, managing employee shifts can easily become complicated, making efficient schedule management difficult. The present invention aims to solve these issues by simplifying the digitization process of handwritten schedules and providing a better user experience by considering user emotions.

[0695] 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.

[0696] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data and extracting schedule information, a notification means for proposing the schedule information to a user, a confirmation means for the user to confirm and approve or modify the proposed schedule information, a registration means for registering the approved or modified schedule information in an electronic calendar, an emotion recognition means for analyzing the user's emotions, an adjustment means for adjusting the proposed schedule in consideration of the emotion information obtained by the emotion recognition means, and a push notification means for notifying the user of the proposed schedule. This enables quick and efficient digitization of handwritten schedules and further realizes schedule management that takes user emotions into consideration.

[0697] A "handwritten schedule" is a schedule that is physically written using analog means such as paper or a whiteboard.

[0698] "Image data" refers to data that captures a handwritten schedule as a digital image using a device such as a camera or scanner.

[0699] A "communication line" is a path for sending and receiving data over the Internet, a local network, etc.

[0700] "Input means" refers to a device or application that allows a user to take a photo of a handwritten schedule and send the image data to a server via a communication line.

[0701] "Character recognition" is the process of extracting text information from image data, typically using OCR (Optical Character Recognition) technology.

[0702] "Character recognition means" refers to a device or software that analyzes handwritten text contained in image data and extracts schedule information as digital text.

[0703] "Schedule information" is specific data relating to the date, time, and content of a schedule.

[0704] The "notification means" refers to a device or application that notifies the user of the extracted schedule information.

[0705] "Verification means" means a device or interface that allows a user to review and approve or modify proposed schedule information.

[0706] "Registration means" refers to a device or software for registering schedule information approved or modified by a user in an electronic calendar.

[0707] "Emotion recognition means" refers to devices or software that analyze a user's emotional state from their voice or text.

[0708] The "adjustment means" refers to a device or software that adjusts the schedule proposal taking into account the emotional information obtained by the emotion recognition means.

[0709] "Push notification means" means a device or software for automatically sending generated schedule suggestions to a user's device.

[0710] An "electronic calendar" is a calendar application or system that is maintained in digital form.

[0711] The system for implementing this invention streamlines the process by which store clerks and managers can take a photo of their handwritten shift schedule with a smartphone or tablet, digitize it, and register it in an electronic calendar. Furthermore, the system provides a better user experience by recognizing the user's emotions and adjusting schedule suggestions accordingly.

[0712] System configuration

[0713] Hardware

[0714] Smartphone / tablet: Used by store associates and managers to take photos of handwritten shift schedules.

[0715] Server: Analyzes image data, recognizes characters and emotions, generates schedule suggestions, notifies users, and registers them in an electronic calendar.

[0716] software

[0717] OCR engine: Used to recognize characters from image data. A typical example is the Google Cloud Vision API.

[0718] Emotion recognition engine: Used to analyze emotions from voice and text. A typical example is IBM Watson Tone Analyzer.

[0719] Communication line: Network infrastructure for sending image data from the smartphone to the server and for sending notifications from the server to the smartphone.

[0720] Push notification system: Notify users of schedule suggestions using Firebase Cloud Messaging or similar.

[0721] Electronic calendar API: Register schedule information using Google Calendar API, etc.

[0722] Program processing

[0723] 1. Input of image data

[0724] The user (a store clerk or manager) takes a photo of a handwritten shift schedule using the camera on their smartphone or tablet, and the captured image data is sent to the server via a messaging app.

[0725] 2. Image analysis and character recognition

[0726] The server performs character recognition (OCR) on the image data it receives and extracts text information such as the shift date, time, and content. It uses the Google Cloud Vision API to analyze and recognize handwritten characters in the image.

[0727] 3. Emotion recognition

[0728] The server performs emotion recognition based on the voice or text data received from the user, using emotion recognition engines such as IBM Watson Tone Analyzer to detect, for example, fatigue or stress.

[0729] 4. Schedule proposal generation and notification

[0730] Generate schedule suggestions using the extracted text information, adjust the schedule taking into account the emotion recognition results in a way that is easy for the user to review, and send the schedule suggestions to the user via push notifications via Firebase Cloud Messaging.

[0731] 5. Check and correct the schedule

[0732] Users can review the proposed schedule on their smartphone application, make any necessary corrections, and finally approve it.

[0733] 6. Electronic calendar registration

[0734] The approved schedule information is registered in the electronic calendar via the Google Calendar API, and all employees are notified that registration has been completed.

[0735] Specific examples

[0736] Shift schedule management example

[0737] Employee A handwrites the next month's shift schedule, then takes a photo of it with their smartphone camera and uploads it. The server receives the image data and uses the Google Cloud Vision API to recognize it as "November 5th, 9:00-18:00 shift." Furthermore, an emotion recognition engine detects fatigue levels from the user's voice and text at the time of uploading. The system generates a proposed schedule in a simple, easy-to-view format and sends a push notification to the user via Firebase Cloud Messaging. Manager B then checks the schedule on their smartphone and finally registers the shift using the Google Calendar API.

[0738] Example prompts for generative AI models

[0739] Billing model: OpenAI GPT-4

[0740] prompt:

[0741] "The store staff took a photo of their handwritten shift schedule with their smartphone and uploaded it to the app. The OCR engine analyzed it to extract the shift details, and the sentiment analysis engine recognized the staff's fatigue. Please provide the schedule proposal in a simple, easy-to-read format. Once the store manager has reviewed and approved it, please add it to Google Calendar and notify all employees."

[0742] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0743] Step 1:

[0744] A user (a store clerk or manager) takes a photo of a handwritten shift schedule with a smartphone camera and saves it as image data. The user then sends the image data to a server via a messaging app. The input is the image data of the handwritten schedule, and the output is the transmission of the image data to the server.

[0745] Step 2:

[0746] The server passes the image data received via the communication line to a character recognition means (Google Cloud Vision API) for character recognition. The input is the received image data, and the output is the extracted schedule information (text data).

[0747] Step 3:

[0748] The server passes the user's voice data and text messages to an emotion recognition unit (IBM Watson Tone Analyzer) for emotion analysis. The input is the voice data or text message, and the output is the user's emotional state (fatigue, stress, etc.)

[0749] Step 4:

[0750] The server generates schedule proposals based on the schedule information extracted as a result of character recognition and the emotion analysis results. Taking the emotion analysis results into account, it makes adjustments according to the user's emotional state. The input is the schedule information and the emotional state, and the output is the adjusted schedule proposal.

[0751] Step 5:

[0752] The server sends the generated schedule proposal to the user's smartphone via a push notification mechanism (Firebase Cloud Messaging). The input is the adjusted schedule proposal, and the output is the push notification sent to the user.

[0753] Step 6:

[0754] The user checks the schedule proposal received on the smartphone application and makes any necessary corrections. The corrections are then sent to the server. The input is the proposed schedule information, and the output is the schedule information confirmed and corrected by the user.

[0755] Step 7:

[0756] The server registers the final schedule information approved or modified by the user in the electronic calendar via the electronic calendar API (Google Calendar API). The input is the final schedule information, and the output is the shift schedule registered in the electronic calendar.

[0757] Step 8:

[0758] The server sends a notification of the completion of registration to the user and all other parties. The input is the status information of the completion of registration, and the output is the notification of the completion of registration.

[0759] 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.

[0760] 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.

[0761] 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.

[0762] [Third embodiment]

[0763] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0764] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0765] 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).

[0766] 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.

[0767] 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.

[0768] 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).

[0769] 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. 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.

[0770] 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.

[0771] 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.

[0772] 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.

[0773] 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.

[0774] 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."

[0775] This invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules. Specifically, it is realized by having a user take a photo of the handwritten schedule using a device such as a smartphone and send the image to a server via a communication line. The key elements of this system are various means: input means, character recognition means, notification means, confirmation means, and registration means, which work together to enable simple and accurate schedule management.

[0776] Program processing flow

[0777] Image data input and transmission

[0778] Users take a photo of their handwritten schedule and send the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0779] Image analysis and character recognition

[0780] When the image data arrives at the server, the server uses its built-in character recognition engine (OCR engine) to extract the text information from the image, including the date, time, and content of the schedule.

[0781] Schedule generation and notification

[0782] The server analyzes the extracted text information and generates a schedule proposal, which is then sent to the user via a messaging app. The notification includes the schedule content, date and time, and is displayed in a format that the user can view.

[0783] Check and revise the proposed schedule

[0784] The user can review the proposed schedule and make any necessary changes through the messaging app's interface. Once the user approves the schedule, the details are confirmed as the final schedule information.

[0785] Registering schedule information

[0786] The server registers the final schedule information approved by the user in the electronic calendar, which digitizes the handwritten schedule and accurately reflects it in the electronic calendar.

[0787] Specific examples

[0788] Example 1: Registering a school event

[0789] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," and generates a proposed schedule. The mother checks the proposed schedule, verifies its accuracy, and approves it. The final information is registered on an electronic calendar from the server, allowing the mother to efficiently manage her schedule.

[0790] Example 2: Registering a company meeting

[0791] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image, extracts the text information "Department meeting, April 20th, 2:00 PM," and generates a proposed schedule. The office worker checks the proposed schedule and approves it if there are no errors. This schedule information is then registered in an electronic calendar, allowing the office worker to easily update the schedule from their handwritten notes to their digital calendar.

[0792] In this way, the present invention provides a system that allows for easy and efficient management of handwritten schedules, enabling many users to benefit from the digitization of their handwritten schedules.

[0793] The processing flow will be explained below.

[0794] Step 1:

[0795] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0796] Step 2:

[0797] The user sends the image they have taken via a messaging app. The user opens a messaging app (e.g., LINE) and posts the image they have taken on the chat screen.

[0798] Step 3:

[0799] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0800] Step 4:

[0801] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0802] Step 5:

[0803] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0804] Step 6:

[0805] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0806] Step 7:

[0807] The server notifies the user of the proposed schedule, and then sends the generated schedule to the user via a messaging app for approval or modification.

[0808] Step 8:

[0809] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0810] Step 9:

[0811] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0812] Step 10:

[0813] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0814] Step 11:

[0815] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0816] Step 12:

[0817] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0818] Through the above processing steps, the user can easily digitize his / her handwritten schedule and register it in an electronic calendar.

[0819] Example 1

[0820] 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."

[0821] Previously, registering handwritten schedules in an electronic calendar required manual input, which was time-consuming and labor-intensive. Manual input also introduced the risk of errors, making accurate schedule management difficult. To solve these problems, a system was needed that could efficiently and accurately register handwritten schedules in an electronic calendar.

[0822] 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.

[0823] In this invention, the server includes input means for transmitting image data containing a handwritten schedule via a communication line, character recognition means for performing character recognition on the image data and extracting schedule information, means for analyzing the schedule information and generating a proposed schedule, notification means for notifying a user of the generated proposed schedule, confirmation means for the user to confirm the proposed schedule and make corrections as necessary, and registration means for registering the approved or corrected schedule information in an electronic calendar. This makes it possible to efficiently and accurately register handwritten schedules in an electronic calendar.

[0824] "Image data" is a digital file containing pictorial information of a handwritten schedule.

[0825] A "communication line" is an infrastructure for transmitting and receiving data between remote terminals.

[0826] The "input means" is a device or application that allows a user to take a picture of a handwritten schedule and transmit the image data to a server via a communication line.

[0827] "Character recognition means" refers to software or an engine that has the function of extracting schedule information by using optical character recognition (OCR) technology on image data.

[0828] "Schedule information" is text information including dates and times and event details extracted from a handwritten schedule.

[0829] The "analysis means" is an algorithm or program for generating a schedule proposal based on the extracted schedule information.

[0830] The "notification means" is a device or application for notifying the user of the generated schedule proposal.

[0831] A "verification means" is an interface or application that allows a user to review the proposed schedule and make corrections as necessary.

[0832] The "registration means" is software or an engine that has the function of registering schedule information that has been confirmed and approved by the user in the electronic calendar.

[0833] An "electronic calendar" is an application or service for managing events and appointments in a digital format.

[0834] The present invention is a system that automatically registers handwritten schedules in an electronic calendar. This system is implemented primarily using the user's smartphone, a server, a messaging app, and an electronic calendar application.

[0835] Image data input and transmission

[0836] First, the user takes a photo of their handwritten schedule using their smartphone's camera. For example, they can use the iOS Camera app or the standard Android camera app. Then, they open a messaging app (e.g., LINE or WhatsApp) and send the image data they took as a message. This image data is then transferred to the server via a communication line.

[0837] Image analysis and character recognition

[0838] The server temporarily stores the received image data. Then, it calls an OCR engine (such as the Google OCR API or the tesseract library) to extract text information from the image. The extracted text information includes the date, time, and content of the schedule.

[0839] Schedule generation and notification

[0840] The server analyzes the text information obtained from the OCR engine and generates a proposed schedule. This proposed schedule is then notified to the user via a messaging app. For example, using the LINE API or WhatsApp API, a message such as "Proposed schedule generated: March 15th, 10:00 School Sports Day" is sent to the user.

[0841] Check and revise the proposed schedule

[0842] The user checks the proposed schedule in the messaging app. If necessary, the user can send a message to the server requesting corrections. For example, the user could request a correction such as, "The date and time is incorrect. Please change it to March 16th." The server receives the corrections and updates the proposed schedule.

[0843] Registering schedule information

[0844] The server registers the final approved schedule information with an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). It calls the API to input the necessary information (date, time, content, etc.) and sends a request to create an event in the calendar. The user can open the electronic calendar app and check that the new schedule has been added correctly.

[0845] As a concrete example, a mother writes down the schedule for her child's school event, "School Sports Day, March 15th, 10:00," by hand and takes a photo of it with her smartphone camera. Next, she sends the image to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," generates a schedule proposal, and notifies the mother. The mother then checks and approves the proposed schedule. The final information is then registered in Google Calendar from the server, allowing the mother to efficiently manage her schedule.

[0846] An example of a prompt in a generative AI model is "Please analyze the following handwritten schedule image, extract text information, and generate a schedule proposal: <image data>." This prompt can unify the behavior of the entire system.

[0847] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0848] Step 1:

[0849] The user takes a photo of the handwritten schedule using the smartphone camera. Specifically, they use the iOS Camera app or the standard Android camera app. The input for this step is a physical image of the handwritten schedule, and the output is image data stored in the smartphone.

[0850] Step 2:

[0851] The user sends the captured image data to the server via a messaging app (e.g., LINE, WhatsApp). Specifically, the user opens the messaging app, selects the server's chatbot account as the destination, and sends the image. The input for this step is the image data stored in the smartphone, and the output is the image data sent to the server via the communication line.

[0852] Step 3:

[0853] The server temporarily stores the received image data. Specifically, it executes a script that stores the image data in a specific directory on the server. The input of this step is the image data sent to the server, and the output is an image file stored on the server.

[0854] Step 4:

[0855] The server uses an OCR engine (e.g., Google OCR API or tesseract library) to extract text information from image data. Specifically, it sends image data to the OCR engine and receives text data in JSON format as a response. The input for this step is the image file stored on the server, and the output is the extracted text information.

[0856] Step 5:

[0857] The server analyzes the acquired text information and generates a proposed schedule. Specifically, it executes an algorithm to analyze the text information, extracts dates and times and event details, and formats them. The input of this step is the extracted text information, and the output is a formatted proposed schedule.

[0858] Step 6:

[0859] The server notifies the user of the generated schedule proposal via a messaging app. Specifically, it uses a messaging API to send the schedule proposal to the user. For example, it uses the LINE API or WhatsApp API to send a message such as "Schedule proposal generated: March 15th, 10:00 School Sports Day." The input of this step is the formatted schedule proposal, and the output is the notification message sent to the user.

[0860] Step 7:

[0861] The user checks the proposed schedule notified via the messaging app and makes corrections as necessary. Specifically, the user replies to the message with instructions to correct the schedule, such as "The date and time is incorrect. Please change it to March 16th." The input to this step is the notification message sent to the user, and the output is the message from the user with instructions to correct the schedule.

[0862] Step 8:

[0863] The server updates the proposed schedule based on the modifications received from the user. Specifically, it analyzes the modifications from the user and executes an algorithm to generate an updated proposed schedule. The input of this step is the modification message from the user, and the output is the updated proposed schedule.

[0864] Step 9:

[0865] The user sends a reply message for final confirmation and approval. Specifically, they send a message saying, "I'm happy with this schedule." The input of this step is the updated schedule proposal, and the output is the user's approval message.

[0866] Step 10:

[0867] The server registers the approved final schedule information in an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). Specifically, it calls the API, inputs the required information (date, time, content, etc.), and sends a request to create an event in the calendar. The input to this step is the user's approval message, and the output is the event registered in the electronic calendar.

[0868] This allows handwritten schedules to be efficiently and accurately registered in an electronic calendar.

[0869] (Application example 1)

[0870] 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."

[0871] With conventional factory management systems, managing schedules for maintenance work and sudden machine breakdowns was cumbersome, requiring the time-consuming manual entry of handwritten notes into a digital calendar, which led to scheduling errors, delays in the transmission of information, and reduced work efficiency.

[0872] 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.

[0873] In this invention, the server includes an input means for transmitting image data containing handwritten work schedules via a communication line, a character recognition means for performing character recognition on the image data and extracting work information, and a notification means for suggesting the work information to the worker. This makes it possible for maintenance staff to take a photo of the work schedules handwritten by the staff and automatically register them in the electronic calendar.

[0874] "Image data containing handwritten work schedules" refers to digital images taken with a smart device of handwritten schedules for maintenance work within a factory and for responding to machine breakdowns.

[0875] A "communication line" is a network infrastructure for sending and receiving data, including the Internet and dedicated lines.

[0876] The "input means" is a method for capturing a handwritten work plan as a digital image and transmitting the image data to a server. Specifically, this applies to smart glasses or a smartphone.

[0877] "Character recognition means" is a technology for analyzing handwritten character information from image data and extracting it as text data. Specifically, an OCR engine falls into this category.

[0878] "Work information" is text data about the content and date of maintenance work or machine failure response extracted from handwritten image data.

[0879] The "notification means" refers to a method for notifying maintenance staff of the extracted and analyzed work information. Specifically, this applies to a messaging system.

[0880] The "confirmation means" is a method by which the worker can confirm the notified work information and make corrections or approvals as necessary. This corresponds to an interface within the messaging system.

[0881] The "registration method" is a method for recording approved work information in a digital calendar. The electronic calendar API corresponds to this.

[0882] "Messaging systems" are communication tools for sending and receiving text messages, including Slack and Microsoft Teams.

[0883] A "digital calendar" is an electronic schedule management system, including Google Calendar and Microsoft Outlook Calendar.

[0884] This invention is a system that efficiently registers work schedules in a digital calendar using image data containing handwritten work schedules. Specifically, maintenance staff use input devices such as smart glasses to take a photo of the handwritten work schedule and then send the image data to a server via a messaging system. The following elements are particularly important in this system:

[0885] Image data input and transmission

[0886] Maintenance staff use smart glasses to capture handwritten work schedules, and the image data is sent to a server over a communication line via a messaging system (e.g., Slack or Microsoft Teams).

[0887] Image analysis and character recognition

[0888] The server analyzes the received image data. Specifically, it uses an OCR engine such as Google Cloud Vision API to extract handwritten text from the image. This character recognition method generates text data containing the details of the maintenance work or machine failure response, as well as the date and time.

[0889] Schedule generation and notification

[0890] The server generates a proposed work schedule based on the extracted text data, which is then sent to the maintenance staff's smart glasses or smartphones via a messaging system for notification.

[0891] Check and revise the proposed schedule

[0892] Maintenance staff review the proposed schedule and make any necessary adjustments. This review and adjustments are carried out through an interface within the messaging system. Once the staff approves the schedule, it is finalized as the work information.

[0893] Registering schedule information

[0894] The server registers the approved work information in an electronic calendar (for example, Google Calendar or Microsoft Outlook Calendar), so that the work schedules recorded by the maintenance staff by hand are accurately reflected in the digital calendar.

[0895] Specific examples

[0896] Example 1: A maintenance staff member writes a handwritten note saying, "Maintenance for Machine A on October 20th at 3:00 PM." This note is photographed using smart glasses, and the image data is sent to a server via Slack. Using Google Cloud Vision API, text information is extracted from the image, and text information saying, "Maintenance for Machine A on October 20th at 3:00 PM" is generated. This proposed schedule is notified to the staff member's smartphone, who then reviews and approves it. The final information is registered on an electronic calendar, allowing for efficient management of the maintenance schedule.

[0897] Prompt Sentence Examples

[0898] I took a photo of the handwritten notes below. Read the schedule and generate a plan to add to your digital calendar.

[0899] Handwritten note: October 20th, 15:00 Machine A maintenance

[0900] In this way, the present invention provides a system that enables handwritten work schedules to be easily and efficiently digitized and managed using a digital calendar.

[0901] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0902] Step 1:

[0903] A maintenance staff member takes a photo of a handwritten work schedule using smart glasses (terminal). Image data containing the handwritten work schedule is generated as input and temporarily saved in the terminal. Specifically, the camera function of the smart glasses captures the image data.

[0904] Step 2:

[0905] The device (smart glasses) sends the captured image data to a server via a messaging system (e.g., Slack). The input is the image data, and the output is the image data sent through the messaging system. In concrete terms, the application attaches the image data to a message and sends it to the server.

[0906] Step 3:

[0907] The server retrieves image data received via the messaging system. It uses the received image data as input and has image data ready for processing as output. Specifically, the server parses the message and extracts the image data.

[0908] Step 4:

[0909] The server uses an OCR engine such as Google Cloud Vision API to perform character recognition on the received image data. The input is image data, and the output is extracted text information. Specifically, the OCR engine analyzes the image data and extracts handwritten characters in text format.

[0910] Step 5:

[0911] The server analyzes the extracted text information and generates a proposed work schedule. The input is the text information extracted by the OCR engine, and the output is the generated schedule. Specifically, the analysis algorithm classifies the text information into date, time, and work content, and formats it into a schedule format.

[0912] Step 6:

[0913] The server notifies the maintenance staff of the generated schedule proposal via a messaging system. The input is the generated schedule proposal, and the output is the schedule proposal notified to the maintenance staff. In concrete terms, the server sends the schedule proposal to the messaging system and displays it on the staff's device (e.g., smartphone).

[0914] Step 7:

[0915] Maintenance staff check the notified schedule proposal on a terminal (smartphone) and make any necessary corrections. The input is the notified schedule proposal, and the output is the corrected or approved schedule proposal. Specifically, the staff view the schedule proposal through the interface and, if any corrections are required, change the text information as appropriate.

[0916] Step 8:

[0917] The revised or approved schedule plan is sent back to the server via the messaging system. The input is the revised or approved schedule plan, and the output is the final schedule plan sent to the server. Specifically, data is sent from the terminal to the server via the messaging system.

[0918] Step 9:

[0919] The server registers the received final schedule proposal in the electronic calendar. The input is the final schedule proposal, and the output is the schedule information registered in the digital calendar. Specifically, the server registers the schedule information in the calendar using the Google Calendar API, etc.

[0920] 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.

[0921] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion engine. This allows users to easily digitize their handwritten schedules and register them in an electronic calendar, and also responds according to their emotions.

[0922] Program processing flow

[0923] Image data input and transmission

[0924] The user takes a photo of their handwritten schedule and sends the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[0925] Image analysis and character recognition

[0926] When the server receives the image data, it uses a character recognition engine (OCR engine) to extract text information from the image, including the date, time, and content of the schedule.

[0927] emotion recognition

[0928] The server analyzes the user's state through voice and text input using an emotion engine, which determines the user's emotional state from the intonation of the voice and the context of the text.

[0929] Schedule generation and notification

[0930] The server analyzes the extracted text information and generates a schedule suggestion. This schedule suggestion is adjusted taking into account the user's emotional state. For example, if the user is irritated, the notification message will be adjusted to a simple and quick format. The generated schedule suggestion is notified to the user via a messaging app.

[0931] Check and revise the proposed schedule

[0932] The user can review the proposed schedule and approve or modify it through a specific interface.

[0933] Registering schedule information

[0934] The server registers the final schedule information that the user has approved or modified in the electronic calendar, thereby digitizing the handwritten schedule and accurately reflecting it in the electronic calendar.

[0935] Specific examples

[0936] Example 1: Considering emotions in registering school events

[0937] A mother handwrites a schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information. Before generating a schedule suggestion, "School Sports Day, March 15th, 10:00," the server uses an emotion engine to determine whether the mother is feeling stressed based on her tone of voice when talking about her child. If the server determines that the mother is feeling stressed, it notifies her in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server registers it in her electronic calendar.

[0938] Example 2: Considering emotions in company meeting registration

[0939] An office worker writes down the schedule for "Department meeting, April 20th, 2:00 PM" by hand and takes a photo of it with their smartphone camera. The image is sent to the server via a messaging app. The server analyzes the image, and an emotion engine recognizes signs of fatigue from the employee's text message. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on the confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar and notifies them that registration is complete.

[0940] In this way, the present invention realizes a system that not only allows for easy and efficient handwritten schedule management, but also provides a better user experience by taking into account the user's emotions.

[0941] The processing flow will be explained below.

[0942] Step 1:

[0943] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[0944] Step 2:

[0945] The user takes a photo and sends it via a messaging app. The user opens the messaging app and posts the photo on the chat screen.

[0946] Step 3:

[0947] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[0948] Step 4:

[0949] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[0950] Step 5:

[0951] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[0952] Step 6:

[0953] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[0954] Step 7:

[0955] The server recognizes the user's emotions. The server uses an emotion engine to analyze the user's emotional state from voice and text input. For example, it determines stress or fatigue from voice intonation and text context.

[0956] Step 8:

[0957] The server notifies the user of the proposed schedule. The server adjusts the generated schedule based on the user's emotional state. For example, if the user is tired, the message will be delivered in a simple and friendly tone.

[0958] Step 9:

[0959] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[0960] Step 10:

[0961] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[0962] Step 11:

[0963] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[0964] Step 12:

[0965] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[0966] Step 13:

[0967] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[0968] Through the above processing steps, the user can easily digitize their handwritten schedule and register it in an electronic calendar, while at the same time receiving friendly responses according to the user's emotional state.

[0969] Example 2

[0970] 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."

[0971] There is a demand for efficient and accurate entry of handwritten schedules into electronic calendars, but conventional systems require a lot of manual work, which is time-consuming for users. Furthermore, they are unable to respond to users' mental state and emotions, which can result in a poor user experience. It is desirable to provide a system that solves these issues and is easy to use for users, while also taking their emotions into consideration.

[0972] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0973] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data to extract schedule information, a notification means for proposing the schedule information to a user, an emotion recognition means for analyzing the user's emotional state, an adjustment means for adjusting the proposed schedule based on the emotional state obtained by the emotion recognition means, a confirmation means for the user to confirm and approve or modify the proposed schedule information, and a registration means for registering the approved or modified schedule information in an electronic calendar. This enables efficient digitization of handwritten schedules and flexible response that takes into account the user's emotional state.

[0974] A "handwritten schedule" is schedule information written by hand.

[0975] "Image data" refers to digital images of handwritten schedules taken with a smartphone or other device.

[0976] A "communication line" refers to the infrastructure for sending and receiving data, such as the Internet or mobile phone networks.

[0977] "Input means" refers to the means for sending image data containing handwritten schedules to the server. Specifically, this includes the camera on a smartphone or a messaging app.

[0978] "Character recognition" is the process of analyzing handwritten characters in image data and converting them into digital text.

[0979] "Character recognition means" refers to a means for performing character recognition on image data and extracting schedule information. Specifically, an OCR engine corresponds to this.

[0980] "Schedule information" refers to detailed information about dates and events extracted from handwritten schedules.

[0981] "Notification means" refers to the means by which the extracted schedule information is presented to the user. Specifically, this applies to notifications via messaging apps.

[0982] "Emotion recognition means" means a means for analyzing a user's voice or text message to determine the user's emotional state.

[0983] The "adjustment means" refers to a means for adjusting the schedule proposal based on the emotional state obtained by the emotion recognition means.

[0984] "Confirmation means" refers to the means by which a user can review and approve or modify the proposed schedule information, such as the interface of a messaging app.

[0985] The "registration means" refers to a means for registering approved or corrected schedule information in the electronic calendar.

[0986] An "electronic calendar" is a calendar application used to manage events and appointments in a digital format.

[0987] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion recognition means.

[0988] The user uses the camera of their smartphone to take a picture of their handwritten schedule. The user then sends the image data to a server via a messaging app (e.g., a "messaging application"). This image data is then transferred to the server via a communication line.

[0989] The image data received by the server is processed using an OCR (Optical Character Recognition) engine (commonly known as "character recognition software") to extract text information from the image. This text information includes the date, time, and content of the schedule. As a specific example, the Google Cloud Vision API is used as the character recognition software.

[0990] After extracting the text information, the server uses an emotion recognition engine (e.g., commonly known as "emotion analysis software") to analyze the user's emotional state. To recognize the user's emotion from voice or text input, the server analyzes the intonation of the voice and the context of the text. As a specific example, IBM Watson Tone Analyzer is used as emotion analysis software.

[0991] The server generates a schedule proposal based on the extracted text information. Taking into account the analysis results of the emotion recognition engine, it adjusts the notification message to a simple and quick format if the user is irritated. The generated schedule proposal is notified to the user via a messaging app.

[0992] The user can review the proposed schedule in the messaging app and approve or modify it. For example, they can approve it by replying, "This schedule is OK." If they need to modify it, they can say, "Please change the time to 11:00."

[0993] Finally, the server registers the final schedule information approved or modified by the user in an electronic calendar (e.g., a digital calendar application). As a specific example, the Google Calendar API is used as the digital calendar application. Once registration is complete, the server notifies the user of the completion of registration and ensures that the schedule is accurately reflected in the electronic calendar.

[0994] Specific examples

[0995] Example 1: Considering emotions in registering school events

[0996] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also uses emotion analysis software to analyze the mother's emotions from the tone of her voice when she talks about her child. If it is determined that the mother is feeling stressed, a notification message is sent in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server uses a digital calendar application to register it on her electronic calendar.

[0997] Example 2: Considering emotions in company meeting registration

[0998] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also analyzes the employee's text message using emotion analysis software to identify signs of fatigue. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on a confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar using a digital calendar application and notifies the employee that registration is complete.

[0999] Prompt Sentence Examples

[1000] "Please analyze the content of this image and extract the schedule information."

[1001] "Analyze user sentiment and tailor your notification messages accordingly."

[1002] "Please register the extracted schedule information in your digital calendar."

[1003] In this way, the system not only enables handwritten schedule management in a simple and efficient manner, but also provides a better user experience by taking into account the user's emotions.

[1004] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1005] Step 1:

[1006] The user takes a photo of their handwritten schedule.

[1007] Input: A piece of paper with a handwritten schedule.

[1008] How it works: The user opens the smartphone camera app and takes a photo of their handwritten schedule. The captured image data is saved in the smartphone's memory.

[1009] Output: Image data of handwritten schedule.

[1010] Step 2:

[1011] The user sends image data to the server.

[1012] Input: Image data of a handwritten schedule.

[1013] How it works: A user opens a messaging application and sends a message containing captured image data, which is then sent over the Internet to a server.

[1014] Output: Image data received by the server.

[1015] Step 3:

[1016] The server receives the image data.

[1017] Input: Image data of handwritten schedule sent via the internet.

[1018] Operation: The server receives the image data as an HTTP request and stores it in its internal memory.

[1019] Output: Image data stored on the server.

[1020] Step 4:

[1021] The server performs character recognition and extracts text information.

[1022] Input: Image data of handwritten schedule stored on the server.

[1023] How it works: The server inputs the image data into an OCR engine (e.g., commonly known as "character recognition software") and performs character recognition. It analyzes the handwritten characters and extracts text information. For example, it extracts information such as "March 15th, 10:00, school sports day."

[1024] Output: The extracted text information.

[1025] Step 5:

[1026] The server analyzes the user's emotional state.

[1027] Input: User voice or text input.

[1028] How it works: The server inputs voice data and text messages into an emotion engine (e.g., generically called "emotion analysis software") to determine the user's emotional state, e.g., detecting stress or fatigue from voice intonation and text context.

[1029] Output: Data about the user's emotional state.

[1030] Step 6:

[1031] The server generates a proposed schedule.

[1032] Input: Extracted text information and user emotional state data.

[1033] How it works: The server analyzes the extracted text information and generates schedule suggestions taking into account the user's emotional state. For example, if a user is feeling stressed, the system will adjust the notification format of a schedule such as "School sports day, March 15th, 10:00 AM" to a simpler one.

[1034] Output: The generated schedule proposal.

[1035] Step 7:

[1036] The server notifies the proposed schedule.

[1037] Input: The generated schedule proposal.

[1038] How it works: The server generates a schedule proposal and notifies the user via a messaging application. A notification is sent to the user's smartphone.

[1039] Output: The proposed schedule notified to the user.

[1040] Step 8:

[1041] The user reviews the proposed schedule and approves or modifies it.

[1042] Input: The proposed schedule that the user was notified of.

[1043] What happens: The user opens a messaging app and sees the proposed schedule. The user presses the approve button or sends a message requesting a change. They can say something like, "Please change the time to 11:00."

[1044] Output: Instructions for user approval or correction.

[1045] Step 9:

[1046] The server receives the user's approval or modification instructions and generates the final schedule information.

[1047] Input: User approval or correction instructions.

[1048] Operation: The server receives approval or modification instructions from the user and generates the final schedule information. For example, following the modification instructions, it may become "March 15th, 11:00, School Sports Day."

[1049] Output: Final schedule information.

[1050] Step 10:

[1051] The server registers the final schedule information in the electronic calendar.

[1052] Input: Final schedule information.

[1053] How it works: The server inputs the final schedule information into a digital calendar application (e.g., a "Calendar API") and sends a registration request. For example, a POST request is sent to the Google Calendar API with the information "March 15th, 11:00 AM School Sports Day."

[1054] Output: Schedule information registered in an electronic calendar.

[1055] Step 11:

[1056] The server notifies the user that registration is complete.

[1057] Input: Schedule information registered in an electronic calendar.

[1058] Behavior: The server notifies the user that the schedule has been successfully registered. For example, it notifies the user via a messaging application that "The schedule has been registered in the calendar."

[1059] Output: User notified that registration is complete.

[1060] As described above, this system efficiently digitizes handwritten schedules and can also flexibly respond by taking into account the user's emotional state.

[1061] (Application example 2)

[1062] 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."

[1063] Conventional handwritten schedule management systems have been unable to consider user emotions during the digitization process of handwritten schedules, resulting in a poor user experience. Additionally, in store operations, managing employee shifts can easily become complicated, making efficient schedule management difficult. The present invention aims to solve these issues by simplifying the digitization process of handwritten schedules and providing a better user experience by considering user emotions.

[1064] 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.

[1065] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data and extracting schedule information, a notification means for proposing the schedule information to a user, a confirmation means for the user to confirm and approve or modify the proposed schedule information, a registration means for registering the approved or modified schedule information in an electronic calendar, an emotion recognition means for analyzing the user's emotions, an adjustment means for adjusting the proposed schedule in consideration of the emotion information obtained by the emotion recognition means, and a push notification means for notifying the user of the proposed schedule. This enables quick and efficient digitization of handwritten schedules and further realizes schedule management that takes user emotions into consideration.

[1066] A "handwritten schedule" is a schedule that is physically written using analog means such as paper or a whiteboard.

[1067] "Image data" refers to data that captures a handwritten schedule as a digital image using a device such as a camera or scanner.

[1068] A "communication line" is a path for sending and receiving data over the Internet, a local network, etc.

[1069] "Input means" refers to a device or application that allows a user to take a photo of a handwritten schedule and send the image data to a server via a communication line.

[1070] "Character recognition" is the process of extracting text information from image data, typically using OCR (Optical Character Recognition) technology.

[1071] "Character recognition means" refers to a device or software that analyzes handwritten text contained in image data and extracts schedule information as digital text.

[1072] "Schedule information" is specific data relating to the date, time, and content of a schedule.

[1073] The "notification means" refers to a device or application that notifies the user of the extracted schedule information.

[1074] "Verification means" means a device or interface that allows a user to review and approve or modify proposed schedule information.

[1075] "Registration means" refers to a device or software for registering schedule information approved or modified by a user in an electronic calendar.

[1076] "Emotion recognition means" refers to devices or software that analyze a user's emotional state from their voice or text.

[1077] The "adjustment means" refers to a device or software that adjusts the schedule proposal taking into account the emotional information obtained by the emotion recognition means.

[1078] "Push notification means" means a device or software for automatically sending generated schedule suggestions to a user's device.

[1079] An "electronic calendar" is a calendar application or system that is maintained in digital form.

[1080] The system for implementing this invention streamlines the process by which store clerks and managers can take a photo of their handwritten shift schedule with a smartphone or tablet, digitize it, and register it in an electronic calendar. Furthermore, the system provides a better user experience by recognizing the user's emotions and adjusting schedule suggestions accordingly.

[1081] System configuration

[1082] Hardware

[1083] Smartphone / tablet: Used by store associates and managers to take photos of handwritten shift schedules.

[1084] Server: Analyzes image data, recognizes characters and emotions, generates schedule suggestions, notifies users, and registers them in an electronic calendar.

[1085] software

[1086] OCR engine: Used to recognize characters from image data. A typical example is the Google Cloud Vision API.

[1087] Emotion recognition engine: Used to analyze emotions from voice and text. A typical example is IBM Watson Tone Analyzer.

[1088] Communication line: Network infrastructure for sending image data from the smartphone to the server and for sending notifications from the server to the smartphone.

[1089] Push notification system: Notify users of schedule suggestions using Firebase Cloud Messaging or similar.

[1090] Electronic calendar API: Register schedule information using Google Calendar API, etc.

[1091] Program processing

[1092] 1. Input of image data

[1093] The user (a store clerk or manager) takes a photo of a handwritten shift schedule using the camera on their smartphone or tablet, and the captured image data is sent to the server via a messaging app.

[1094] 2. Image analysis and character recognition

[1095] The server performs character recognition (OCR) on the image data it receives and extracts text information such as the shift date, time, and content. It uses the Google Cloud Vision API to analyze and recognize handwritten characters in the image.

[1096] 3. Emotion recognition

[1097] The server performs emotion recognition based on the voice or text data received from the user, using emotion recognition engines such as IBM Watson Tone Analyzer to detect, for example, fatigue or stress.

[1098] 4. Schedule proposal generation and notification

[1099] Generate schedule suggestions using the extracted text information, adjust the schedule taking into account the emotion recognition results in a way that is easy for the user to review, and send the schedule suggestions to the user via push notifications via Firebase Cloud Messaging.

[1100] 5. Check and correct the schedule

[1101] Users can review the proposed schedule on their smartphone application, make any necessary corrections, and finally approve it.

[1102] 6. Electronic calendar registration

[1103] The approved schedule information is registered in the electronic calendar via the Google Calendar API, and all employees are notified that registration has been completed.

[1104] Specific examples

[1105] Shift schedule management example

[1106] Employee A handwrites the next month's shift schedule, then takes a photo of it with their smartphone camera and uploads it. The server receives the image data and uses the Google Cloud Vision API to recognize it as "November 5th, 9:00-18:00 shift." Furthermore, an emotion recognition engine detects fatigue levels from the user's voice and text at the time of uploading. The system generates a proposed schedule in a simple, easy-to-view format and sends a push notification to the user via Firebase Cloud Messaging. Manager B then checks the schedule on their smartphone and finally registers the shift using the Google Calendar API.

[1107] Example prompts for generative AI models

[1108] Billing model: OpenAI GPT-4

[1109] prompt:

[1110] "The store staff took a photo of their handwritten shift schedule with their smartphone and uploaded it to the app. The OCR engine analyzed it to extract the shift details, and the sentiment analysis engine recognized the staff's fatigue. Please provide the schedule proposal in a simple, easy-to-read format. Once the store manager has reviewed and approved it, please add it to Google Calendar and notify all employees."

[1111] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1112] Step 1:

[1113] A user (a store clerk or manager) takes a photo of a handwritten shift schedule with a smartphone camera and saves it as image data. The user then sends the image data to a server via a messaging app. The input is the image data of the handwritten schedule, and the output is the transmission of the image data to the server.

[1114] Step 2:

[1115] The server passes the image data received via the communication line to a character recognition means (Google Cloud Vision API) for character recognition. The input is the received image data, and the output is the extracted schedule information (text data).

[1116] Step 3:

[1117] The server passes the user's voice data and text messages to an emotion recognition unit (IBM Watson Tone Analyzer) for emotion analysis. The input is the voice data or text message, and the output is the user's emotional state (fatigue, stress, etc.)

[1118] Step 4:

[1119] The server generates schedule proposals based on the schedule information extracted as a result of character recognition and the emotion analysis results. Taking the emotion analysis results into account, it makes adjustments according to the user's emotional state. The input is the schedule information and the emotional state, and the output is the adjusted schedule proposal.

[1120] Step 5:

[1121] The server sends the generated schedule proposal to the user's smartphone via a push notification mechanism (Firebase Cloud Messaging). The input is the adjusted schedule proposal, and the output is the push notification sent to the user.

[1122] Step 6:

[1123] The user checks the schedule proposal received on the smartphone application and makes any necessary corrections. The corrections are then sent to the server. The input is the proposed schedule information, and the output is the schedule information confirmed and corrected by the user.

[1124] Step 7:

[1125] The server registers the final schedule information approved or modified by the user in the electronic calendar via the electronic calendar API (Google Calendar API). The input is the final schedule information, and the output is the shift schedule registered in the electronic calendar.

[1126] Step 8:

[1127] The server sends a notification of the completion of registration to the user and all other parties. The input is the status information of the completion of registration, and the output is the notification of the completion of registration.

[1128] 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.

[1129] 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.

[1130] 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.

[1131] [Fourth embodiment]

[1132] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1133] 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.

[1134] 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).

[1135] 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.

[1136] 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.

[1137] 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).

[1138] 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. 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.

[1139] 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.

[1140] 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.

[1141] 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.

[1142] 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.

[1143] 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.

[1144] 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."

[1145] This invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules. Specifically, it is realized by having a user take a photo of the handwritten schedule using a device such as a smartphone and send the image to a server via a communication line. The key elements of this system are various means: input means, character recognition means, notification means, confirmation means, and registration means, which work together to enable simple and accurate schedule management.

[1146] Program processing flow

[1147] Image data input and transmission

[1148] Users take a photo of their handwritten schedule and send the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[1149] Image analysis and character recognition

[1150] When the image data arrives at the server, the server uses its built-in character recognition engine (OCR engine) to extract the text information from the image, including the date, time, and content of the schedule.

[1151] Schedule generation and notification

[1152] The server analyzes the extracted text information and generates a schedule proposal, which is then sent to the user via a messaging app. The notification includes the schedule content, date and time, and is displayed in a format that the user can view.

[1153] Check and revise the proposed schedule

[1154] The user can review the proposed schedule and make any necessary changes through the messaging app's interface. Once the user approves the schedule, the details are confirmed as the final schedule information.

[1155] Registering schedule information

[1156] The server registers the final schedule information approved by the user in the electronic calendar, which digitizes the handwritten schedule and accurately reflects it in the electronic calendar.

[1157] Specific examples

[1158] Example 1: Registering a school event

[1159] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," and generates a proposed schedule. The mother checks the proposed schedule, verifies its accuracy, and approves it. The final information is registered on an electronic calendar from the server, allowing the mother to efficiently manage her schedule.

[1160] Example 2: Registering a company meeting

[1161] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image, extracts the text information "Department meeting, April 20th, 2:00 PM," and generates a proposed schedule. The office worker checks the proposed schedule and approves it if there are no errors. This schedule information is then registered in an electronic calendar, allowing the office worker to easily update the schedule from their handwritten notes to their digital calendar.

[1162] In this way, the present invention provides a system that allows for easy and efficient management of handwritten schedules, enabling many users to benefit from the digitization of their handwritten schedules.

[1163] The processing flow will be explained below.

[1164] Step 1:

[1165] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[1166] Step 2:

[1167] The user sends the image they have taken via a messaging app. The user opens a messaging app (e.g., LINE) and posts the image they have taken on the chat screen.

[1168] Step 3:

[1169] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[1170] Step 4:

[1171] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[1172] Step 5:

[1173] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[1174] Step 6:

[1175] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[1176] Step 7:

[1177] The server notifies the user of the proposed schedule, and then sends the generated schedule to the user via a messaging app for approval or modification.

[1178] Step 8:

[1179] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[1180] Step 9:

[1181] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[1182] Step 10:

[1183] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[1184] Step 11:

[1185] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[1186] Step 12:

[1187] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[1188] Through the above processing steps, the user can easily digitize his / her handwritten schedule and register it in an electronic calendar.

[1189] Example 1

[1190] 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."

[1191] Previously, registering handwritten schedules in an electronic calendar required manual input, which was time-consuming and labor-intensive. Manual input also introduced the risk of errors, making accurate schedule management difficult. To solve these problems, a system was needed that could efficiently and accurately register handwritten schedules in an electronic calendar.

[1192] 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.

[1193] In this invention, the server includes input means for transmitting image data containing a handwritten schedule via a communication line, character recognition means for performing character recognition on the image data and extracting schedule information, means for analyzing the schedule information and generating a proposed schedule, notification means for notifying a user of the generated proposed schedule, confirmation means for the user to confirm the proposed schedule and make corrections as necessary, and registration means for registering the approved or corrected schedule information in an electronic calendar. This makes it possible to efficiently and accurately register handwritten schedules in an electronic calendar.

[1194] "Image data" is a digital file containing pictorial information of a handwritten schedule.

[1195] A "communication line" is an infrastructure for transmitting and receiving data between remote terminals.

[1196] The "input means" is a device or application that allows a user to take a picture of a handwritten schedule and transmit the image data to a server via a communication line.

[1197] "Character recognition means" refers to software or an engine that has the function of extracting schedule information by using optical character recognition (OCR) technology on image data.

[1198] "Schedule information" is text information including dates and times and event details extracted from a handwritten schedule.

[1199] The "analysis means" is an algorithm or program for generating a schedule proposal based on the extracted schedule information.

[1200] The "notification means" is a device or application for notifying the user of the generated schedule proposal.

[1201] A "verification means" is an interface or application that allows a user to review the proposed schedule and make corrections as necessary.

[1202] The "registration means" is software or an engine that has the function of registering schedule information that has been confirmed and approved by the user in the electronic calendar.

[1203] An "electronic calendar" is an application or service for managing events and appointments in a digital format.

[1204] The present invention is a system that automatically registers handwritten schedules in an electronic calendar. This system is implemented primarily using the user's smartphone, a server, a messaging app, and an electronic calendar application.

[1205] Image data input and transmission

[1206] First, the user takes a photo of their handwritten schedule using their smartphone's camera. For example, they can use the iOS Camera app or the standard Android camera app. Then, they open a messaging app (e.g., LINE or WhatsApp) and send the image data they took as a message. This image data is then transferred to the server via a communication line.

[1207] Image analysis and character recognition

[1208] The server temporarily stores the received image data. Then, it calls an OCR engine (such as the Google OCR API or the tesseract library) to extract text information from the image. The extracted text information includes the date, time, and content of the schedule.

[1209] Schedule generation and notification

[1210] The server analyzes the text information obtained from the OCR engine and generates a proposed schedule. This proposed schedule is then notified to the user via a messaging app. For example, using the LINE API or WhatsApp API, a message such as "Proposed schedule generated: March 15th, 10:00 School Sports Day" is sent to the user.

[1211] Check and revise the proposed schedule

[1212] The user checks the proposed schedule in the messaging app. If necessary, the user can send a message to the server requesting corrections. For example, the user could request a correction such as, "The date and time is incorrect. Please change it to March 16th." The server receives the corrections and updates the proposed schedule.

[1213] Registering schedule information

[1214] The server registers the final approved schedule information with an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). It calls the API to input the necessary information (date, time, content, etc.) and sends a request to create an event in the calendar. The user can open the electronic calendar app and check that the new schedule has been added correctly.

[1215] As a concrete example, a mother writes down the schedule for her child's school event, "School Sports Day, March 15th, 10:00," by hand and takes a photo of it with her smartphone camera. Next, she sends the image to a server via a messaging app. The server analyzes the image data, extracts the text information "School Sports Day, March 15th, 10:00," generates a schedule proposal, and notifies the mother. The mother then checks and approves the proposed schedule. The final information is then registered in Google Calendar from the server, allowing the mother to efficiently manage her schedule.

[1216] An example of a prompt in a generative AI model is "Please analyze the following handwritten schedule image, extract text information, and generate a schedule proposal: <image data>." This prompt can unify the behavior of the entire system.

[1217] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1218] Step 1:

[1219] The user takes a photo of the handwritten schedule using the smartphone camera. Specifically, they use the iOS Camera app or the standard Android camera app. The input for this step is a physical image of the handwritten schedule, and the output is image data stored in the smartphone.

[1220] Step 2:

[1221] The user sends the captured image data to the server via a messaging app (e.g., LINE, WhatsApp). Specifically, the user opens the messaging app, selects the server's chatbot account as the destination, and sends the image. The input for this step is the image data stored in the smartphone, and the output is the image data sent to the server via the communication line.

[1222] Step 3:

[1223] The server temporarily stores the received image data. Specifically, it executes a script that stores the image data in a specific directory on the server. The input of this step is the image data sent to the server, and the output is an image file stored on the server.

[1224] Step 4:

[1225] The server uses an OCR engine (e.g., Google OCR API or tesseract library) to extract text information from image data. Specifically, it sends image data to the OCR engine and receives text data in JSON format as a response. The input for this step is the image file stored on the server, and the output is the extracted text information.

[1226] Step 5:

[1227] The server analyzes the acquired text information and generates a proposed schedule. Specifically, it executes an algorithm to analyze the text information, extracts dates and times and event details, and formats them. The input of this step is the extracted text information, and the output is a formatted proposed schedule.

[1228] Step 6:

[1229] The server notifies the user of the generated schedule proposal via a messaging app. Specifically, it uses a messaging API to send the schedule proposal to the user. For example, it uses the LINE API or WhatsApp API to send a message such as "Schedule proposal generated: March 15th, 10:00 School Sports Day." The input of this step is the formatted schedule proposal, and the output is the notification message sent to the user.

[1230] Step 7:

[1231] The user checks the proposed schedule notified via the messaging app and makes corrections as necessary. Specifically, the user replies to the message with instructions to correct the schedule, such as "The date and time is incorrect. Please change it to March 16th." The input to this step is the notification message sent to the user, and the output is the message from the user with instructions to correct the schedule.

[1232] Step 8:

[1233] The server updates the proposed schedule based on the modifications received from the user. Specifically, it analyzes the modifications from the user and executes an algorithm to generate an updated proposed schedule. The input of this step is the modification message from the user, and the output is the updated proposed schedule.

[1234] Step 9:

[1235] The user sends a reply message for final confirmation and approval. Specifically, they send a message saying, "I'm happy with this schedule." The input of this step is the updated schedule proposal, and the output is the user's approval message.

[1236] Step 10:

[1237] The server registers the approved final schedule information in an electronic calendar API (e.g., Google Calendar API, Apple Calendar API). Specifically, it calls the API, inputs the required information (date, time, content, etc.), and sends a request to create an event in the calendar. The input to this step is the user's approval message, and the output is the event registered in the electronic calendar.

[1238] This allows handwritten schedules to be efficiently and accurately registered in an electronic calendar.

[1239] (Application example 1)

[1240] 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."

[1241] With conventional factory management systems, managing schedules for maintenance work and sudden machine breakdowns was cumbersome, requiring the time-consuming manual entry of handwritten notes into a digital calendar, which led to scheduling errors, delays in the transmission of information, and reduced work efficiency.

[1242] 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.

[1243] In this invention, the server includes an input means for transmitting image data containing handwritten work schedules via a communication line, a character recognition means for performing character recognition on the image data and extracting work information, and a notification means for suggesting the work information to the worker. This makes it possible for maintenance staff to take a photo of the work schedules handwritten by the staff and automatically register them in the electronic calendar.

[1244] "Image data containing handwritten work schedules" refers to digital images taken with a smart device of handwritten schedules for maintenance work within a factory and for responding to machine breakdowns.

[1245] A "communication line" is a network infrastructure for sending and receiving data, including the Internet and dedicated lines.

[1246] The "input means" is a method for capturing a handwritten work plan as a digital image and transmitting the image data to a server. Specifically, this applies to smart glasses or a smartphone.

[1247] "Character recognition means" is a technology for analyzing handwritten character information from image data and extracting it as text data. Specifically, an OCR engine falls into this category.

[1248] "Work information" is text data about the content and date of maintenance work or machine failure response extracted from handwritten image data.

[1249] The "notification means" refers to a method for notifying maintenance staff of the extracted and analyzed work information. Specifically, this applies to a messaging system.

[1250] The "confirmation means" is a method by which the worker can confirm the notified work information and make corrections or approvals as necessary. This corresponds to an interface within the messaging system.

[1251] The "registration method" is a method for recording approved work information in a digital calendar. The electronic calendar API corresponds to this.

[1252] "Messaging systems" are communication tools for sending and receiving text messages, including Slack and Microsoft Teams.

[1253] A "digital calendar" is an electronic schedule management system, including Google Calendar and Microsoft Outlook Calendar.

[1254] This invention is a system that efficiently registers work schedules in a digital calendar using image data containing handwritten work schedules. Specifically, maintenance staff use input devices such as smart glasses to take a photo of the handwritten work schedule and then send the image data to a server via a messaging system. The following elements are particularly important in this system:

[1255] Image data input and transmission

[1256] Maintenance staff use smart glasses to capture handwritten work schedules, and the image data is sent to a server over a communication line via a messaging system (e.g., Slack or Microsoft Teams).

[1257] Image analysis and character recognition

[1258] The server analyzes the received image data. Specifically, it uses an OCR engine such as Google Cloud Vision API to extract handwritten text from the image. This character recognition method generates text data containing the details of the maintenance work or machine failure response, as well as the date and time.

[1259] Schedule generation and notification

[1260] The server generates a proposed work schedule based on the extracted text data, which is then sent to the maintenance staff's smart glasses or smartphones via a messaging system for notification.

[1261] Check and revise the proposed schedule

[1262] Maintenance staff review the proposed schedule and make any necessary adjustments. This review and adjustments are carried out through an interface within the messaging system. Once the staff approves the schedule, it is finalized as the work information.

[1263] Registering schedule information

[1264] The server registers the approved work information in an electronic calendar (for example, Google Calendar or Microsoft Outlook Calendar), so that the work schedules recorded by the maintenance staff by hand are accurately reflected in the digital calendar.

[1265] Specific examples

[1266] Example 1: A maintenance staff member writes a handwritten note saying, "Maintenance for Machine A on October 20th at 3:00 PM." This note is photographed using smart glasses, and the image data is sent to a server via Slack. Using Google Cloud Vision API, text information is extracted from the image, and text information saying, "Maintenance for Machine A on October 20th at 3:00 PM" is generated. This proposed schedule is notified to the staff member's smartphone, who then reviews and approves it. The final information is registered on an electronic calendar, allowing for efficient management of the maintenance schedule.

[1267] Prompt Sentence Examples

[1268] I took a photo of the handwritten notes below. Read the schedule and generate a plan to add to your digital calendar.

[1269] Handwritten note: October 20th, 15:00 Machine A maintenance

[1270] In this way, the present invention provides a system that enables handwritten work schedules to be easily and efficiently digitized and managed using a digital calendar.

[1271] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1272] Step 1:

[1273] A maintenance staff member takes a photo of a handwritten work schedule using smart glasses (terminal). Image data containing the handwritten work schedule is generated as input and temporarily saved in the terminal. Specifically, the camera function of the smart glasses captures the image data.

[1274] Step 2:

[1275] The device (smart glasses) sends the captured image data to a server via a messaging system (e.g., Slack). The input is the image data, and the output is the image data sent through the messaging system. In concrete terms, the application attaches the image data to a message and sends it to the server.

[1276] Step 3:

[1277] The server retrieves image data received via the messaging system. It uses the received image data as input and has image data ready for processing as output. Specifically, the server parses the message and extracts the image data.

[1278] Step 4:

[1279] The server uses an OCR engine such as Google Cloud Vision API to perform character recognition on the received image data. The input is image data, and the output is extracted text information. Specifically, the OCR engine analyzes the image data and extracts handwritten characters in text format.

[1280] Step 5:

[1281] The server analyzes the extracted text information and generates a proposed work schedule. The input is the text information extracted by the OCR engine, and the output is the generated schedule. Specifically, the analysis algorithm classifies the text information into date, time, and work content, and formats it into a schedule format.

[1282] Step 6:

[1283] The server notifies the maintenance staff of the generated schedule proposal via a messaging system. The input is the generated schedule proposal, and the output is the schedule proposal notified to the maintenance staff. In concrete terms, the server sends the schedule proposal to the messaging system and displays it on the staff's device (e.g., smartphone).

[1284] Step 7:

[1285] Maintenance staff check the notified schedule proposal on a terminal (smartphone) and make any necessary corrections. The input is the notified schedule proposal, and the output is the corrected or approved schedule proposal. Specifically, the staff view the schedule proposal through the interface and, if any corrections are required, change the text information as appropriate.

[1286] Step 8:

[1287] The revised or approved schedule plan is sent back to the server via the messaging system. The input is the revised or approved schedule plan, and the output is the final schedule plan sent to the server. Specifically, data is sent from the terminal to the server via the messaging system.

[1288] Step 9:

[1289] The server registers the received final schedule proposal in the electronic calendar. The input is the final schedule proposal, and the output is the schedule information registered in the digital calendar. Specifically, the server registers the schedule information in the calendar using the Google Calendar API, etc.

[1290] 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.

[1291] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion engine. This allows users to easily digitize their handwritten schedules and register them in an electronic calendar, and also responds according to their emotions.

[1292] Program processing flow

[1293] Image data input and transmission

[1294] The user takes a photo of their handwritten schedule and sends the image data to the server via a messaging app on their smartphone, which then transfers the image data to the server via a communication line.

[1295] Image analysis and character recognition

[1296] When the server receives the image data, it uses a character recognition engine (OCR engine) to extract text information from the image, including the date, time, and content of the schedule.

[1297] emotion recognition

[1298] The server analyzes the user's state through voice and text input using an emotion engine, which determines the user's emotional state from the intonation of the voice and the context of the text.

[1299] Schedule generation and notification

[1300] The server analyzes the extracted text information and generates a schedule suggestion. This schedule suggestion is adjusted taking into account the user's emotional state. For example, if the user is irritated, the notification message will be adjusted to a simple and quick format. The generated schedule suggestion is notified to the user via a messaging app.

[1301] Check and revise the proposed schedule

[1302] The user can review the proposed schedule and approve or modify it through a specific interface.

[1303] Registering schedule information

[1304] The server registers the final schedule information that the user has approved or modified in the electronic calendar, thereby digitizing the handwritten schedule and accurately reflecting it in the electronic calendar.

[1305] Specific examples

[1306] Example 1: Considering emotions in registering school events

[1307] A mother handwrites a schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information. Before generating a schedule suggestion, "School Sports Day, March 15th, 10:00," the server uses an emotion engine to determine whether the mother is feeling stressed based on her tone of voice when talking about her child. If the server determines that the mother is feeling stressed, it notifies her in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server registers it in her electronic calendar.

[1308] Example 2: Considering emotions in company meeting registration

[1309] An office worker writes down the schedule for "Department meeting, April 20th, 2:00 PM" by hand and takes a photo of it with their smartphone camera. The image is sent to the server via a messaging app. The server analyzes the image, and an emotion engine recognizes signs of fatigue from the employee's text message. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on the confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar and notifies them that registration is complete.

[1310] In this way, the present invention realizes a system that not only allows for easy and efficient handwritten schedule management, but also provides a better user experience by taking into account the user's emotions.

[1311] The processing flow will be explained below.

[1312] Step 1:

[1313] The user takes a photo of their handwritten schedule. The user uses the camera app on their smartphone to take a photo of their handwritten notes or timetable and save it as image data.

[1314] Step 2:

[1315] The user takes a photo and sends it via a messaging app. The user opens the messaging app and posts the photo on the chat screen.

[1316] Step 3:

[1317] The device sends image data to the server. The device (smartphone) sends image data to the server via a communication line.

[1318] Step 4:

[1319] The server receives the image data. The server receives the image data sent from the terminal and passes it to the internal process.

[1320] Step 5:

[1321] The server analyzes the image data. The server uses a character recognition method (OCR engine) to analyze the text in the image.

[1322] Step 6:

[1323] The server converts the analysis results into schedule information, and generates schedule information consisting of dates, times, and event details based on the extracted text.

[1324] Step 7:

[1325] The server recognizes the user's emotions. The server uses an emotion engine to analyze the user's emotional state from voice and text input. For example, it determines stress or fatigue from voice intonation and text context.

[1326] Step 8:

[1327] The server notifies the user of the proposed schedule. The server adjusts the generated schedule based on the user's emotional state. For example, if the user is tired, the message will be delivered in a simple and friendly tone.

[1328] Step 9:

[1329] The user checks the proposed schedule and approves or modifies it. The user receives a notification via a messaging app, checks the proposed schedule, and if it is correct, presses the approve button. If necessary, they press the modify button and enter the modifications.

[1330] Step 10:

[1331] The server receives the user's response. The server receives the user's approval or correction via the messaging app.

[1332] Step 11:

[1333] The server determines the final schedule information. The server determines the final schedule information based on the user's response.

[1334] Step 12:

[1335] The server registers the final schedule information in the electronic calendar. The server registers the confirmed schedule information through the electronic calendar's API.

[1336] Step 13:

[1337] The server notifies the user that the registration is complete. The server notifies the user via the messaging app that the schedule has been registered in the electronic calendar.

[1338] Through the above processing steps, the user can easily digitize their handwritten schedule and register it in an electronic calendar, while at the same time receiving friendly responses according to the user's emotional state.

[1339] Example 2

[1340] 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."

[1341] There is a demand for efficient and accurate entry of handwritten schedules into electronic calendars, but conventional systems require a lot of manual work, which is time-consuming for users. Furthermore, they are unable to respond to users' mental state and emotions, which can result in a poor user experience. It is desirable to provide a system that solves these issues and is easy to use for users, while also taking their emotions into consideration.

[1342] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1343] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data to extract schedule information, a notification means for proposing the schedule information to a user, an emotion recognition means for analyzing the user's emotional state, an adjustment means for adjusting the proposed schedule based on the emotional state obtained by the emotion recognition means, a confirmation means for the user to confirm and approve or modify the proposed schedule information, and a registration means for registering the approved or modified schedule information in an electronic calendar. This enables efficient digitization of handwritten schedules and flexible response that takes into account the user's emotional state.

[1344] A "handwritten schedule" is schedule information written by hand.

[1345] "Image data" refers to digital images of handwritten schedules taken with a smartphone or other device.

[1346] A "communication line" refers to the infrastructure for sending and receiving data, such as the Internet or mobile phone networks.

[1347] "Input means" refers to the means for sending image data containing handwritten schedules to the server. Specifically, this includes the camera on a smartphone or a messaging app.

[1348] "Character recognition" is the process of analyzing handwritten characters in image data and converting them into digital text.

[1349] "Character recognition means" refers to a means for performing character recognition on image data and extracting schedule information. Specifically, an OCR engine corresponds to this.

[1350] "Schedule information" refers to detailed information about dates and events extracted from handwritten schedules.

[1351] "Notification means" refers to the means by which the extracted schedule information is presented to the user. Specifically, this applies to notifications via messaging apps.

[1352] "Emotion recognition means" means a means for analyzing a user's voice or text message to determine the user's emotional state.

[1353] The "adjustment means" refers to a means for adjusting the schedule proposal based on the emotional state obtained by the emotion recognition means.

[1354] "Confirmation means" refers to the means by which a user can review and approve or modify the proposed schedule information, such as the interface of a messaging app.

[1355] The "registration means" refers to a means for registering approved or corrected schedule information in the electronic calendar.

[1356] An "electronic calendar" is a calendar application used to manage events and appointments in a digital format.

[1357] The present invention is a system that efficiently registers a schedule in an electronic calendar using image data containing handwritten schedules, and further includes a configuration that improves the user experience by recognizing and considering the user's emotions. Specifically, this system is composed of an input means, a character recognition means, a notification means, a confirmation means, a registration means, and an emotion recognition means.

[1358] The user uses the camera of their smartphone to take a picture of their handwritten schedule. The user then sends the image data to a server via a messaging app (e.g., a "messaging application"). This image data is then transferred to the server via a communication line.

[1359] The image data received by the server is processed using an OCR (Optical Character Recognition) engine (commonly known as "character recognition software") to extract text information from the image. This text information includes the date, time, and content of the schedule. As a specific example, the Google Cloud Vision API is used as the character recognition software.

[1360] After extracting the text information, the server uses an emotion recognition engine (e.g., commonly known as "emotion analysis software") to analyze the user's emotional state. To recognize the user's emotion from voice or text input, the server analyzes the intonation of the voice and the context of the text. As a specific example, IBM Watson Tone Analyzer is used as emotion analysis software.

[1361] The server generates a schedule proposal based on the extracted text information. Taking into account the analysis results of the emotion recognition engine, it adjusts the notification message to a simple and quick format if the user is irritated. The generated schedule proposal is notified to the user via a messaging app.

[1362] The user can review the proposed schedule in the messaging app and approve or modify it. For example, they can approve it by replying, "This schedule is OK." If they need to modify it, they can say, "Please change the time to 11:00."

[1363] Finally, the server registers the final schedule information approved or modified by the user in an electronic calendar (e.g., a digital calendar application). As a specific example, the Google Calendar API is used as the digital calendar application. Once registration is complete, the server notifies the user of the completion of registration and ensures that the schedule is accurately reflected in the electronic calendar.

[1364] Specific examples

[1365] Example 1: Considering emotions in registering school events

[1366] A mother handwrites the schedule for her child's school event, "School Sports Day, March 15th, 10:00," and takes a photo of it with her smartphone camera. The image is then sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also uses emotion analysis software to analyze the mother's emotions from the tone of her voice when she talks about her child. If it is determined that the mother is feeling stressed, a notification message is sent in a concise, user-friendly format. When the mother reviews the proposed schedule and presses the approval button, the server uses a digital calendar application to register it on her electronic calendar.

[1367] Example 2: Considering emotions in company meeting registration

[1368] An office worker handwrites a schedule for "Department meeting, April 20th, 2:00 PM" and takes a photo of it with their smartphone camera. The image is sent to a server via a messaging app. The server analyzes the image data and extracts text information using character recognition software. It also analyzes the employee's text message using emotion analysis software to identify signs of fatigue. The generated schedule proposal, "Department meeting, April 20th, 2:00 PM," is adjusted so that it can be approved with minimal interaction on a confirmation screen. When the employee presses the approval button, the server registers it on the electronic calendar using a digital calendar application and notifies the employee that registration is complete.

[1369] Prompt Sentence Examples

[1370] "Please analyze the content of this image and extract the schedule information."

[1371] "Analyze user sentiment and tailor your notification messages accordingly."

[1372] "Please register the extracted schedule information in your digital calendar."

[1373] In this way, the system not only enables handwritten schedule management in a simple and efficient manner, but also provides a better user experience by taking into account the user's emotions.

[1374] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1375] Step 1:

[1376] The user takes a photo of their handwritten schedule.

[1377] Input: A piece of paper with a handwritten schedule.

[1378] How it works: The user opens the smartphone camera app and takes a photo of their handwritten schedule. The captured image data is saved in the smartphone's memory.

[1379] Output: Image data of handwritten schedule.

[1380] Step 2:

[1381] The user sends image data to the server.

[1382] Input: Image data of a handwritten schedule.

[1383] How it works: A user opens a messaging application and sends a message containing captured image data, which is then sent over the Internet to a server.

[1384] Output: Image data received by the server.

[1385] Step 3:

[1386] The server receives the image data.

[1387] Input: Image data of handwritten schedule sent via the internet.

[1388] Operation: The server receives the image data as an HTTP request and stores it in its internal memory.

[1389] Output: Image data stored on the server.

[1390] Step 4:

[1391] The server performs character recognition and extracts text information.

[1392] Input: Image data of handwritten schedule stored on the server.

[1393] How it works: The server inputs the image data into an OCR engine (e.g., commonly known as "character recognition software") and performs character recognition. It analyzes the handwritten characters and extracts text information. For example, it extracts information such as "March 15th, 10:00, school sports day."

[1394] Output: The extracted text information.

[1395] Step 5:

[1396] The server analyzes the user's emotional state.

[1397] Input: User voice or text input.

[1398] How it works: The server inputs voice data and text messages into an emotion engine (e.g., generically called "emotion analysis software") to determine the user's emotional state, e.g., detecting stress or fatigue from voice intonation and text context.

[1399] Output: Data about the user's emotional state.

[1400] Step 6:

[1401] The server generates a proposed schedule.

[1402] Input: Extracted text information and user emotional state data.

[1403] How it works: The server analyzes the extracted text information and generates schedule suggestions taking into account the user's emotional state. For example, if a user is feeling stressed, the system will adjust the notification format of a schedule such as "School sports day, March 15th, 10:00 AM" to a simpler one.

[1404] Output: The generated schedule proposal.

[1405] Step 7:

[1406] The server notifies the proposed schedule.

[1407] Input: The generated schedule proposal.

[1408] How it works: The server generates a schedule proposal and notifies the user via a messaging application. A notification is sent to the user's smartphone.

[1409] Output: The proposed schedule notified to the user.

[1410] Step 8:

[1411] The user reviews the proposed schedule and approves or modifies it.

[1412] Input: The proposed schedule that the user was notified of.

[1413] What happens: The user opens a messaging app and sees the proposed schedule. The user presses the approve button or sends a message requesting a change. They can say something like, "Please change the time to 11:00."

[1414] Output: Instructions for user approval or correction.

[1415] Step 9:

[1416] The server receives the user's approval or modification instructions and generates the final schedule information.

[1417] Input: User approval or correction instructions.

[1418] Operation: The server receives approval or modification instructions from the user and generates the final schedule information. For example, following the modification instructions, it may become "March 15th, 11:00, School Sports Day."

[1419] Output: Final schedule information.

[1420] Step 10:

[1421] The server registers the final schedule information in the electronic calendar.

[1422] Input: Final schedule information.

[1423] How it works: The server inputs the final schedule information into a digital calendar application (e.g., a "Calendar API") and sends a registration request. For example, a POST request is sent to the Google Calendar API with the information "March 15th, 11:00 AM School Sports Day."

[1424] Output: Schedule information registered in an electronic calendar.

[1425] Step 11:

[1426] The server notifies the user that registration is complete.

[1427] Input: Schedule information registered in an electronic calendar.

[1428] Behavior: The server notifies the user that the schedule has been successfully registered. For example, it notifies the user via a messaging application that "The schedule has been registered in the calendar."

[1429] Output: User notified that registration is complete.

[1430] As described above, this system efficiently digitizes handwritten schedules and can also flexibly respond by taking into account the user's emotional state.

[1431] (Application example 2)

[1432] 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."

[1433] Conventional handwritten schedule management systems have been unable to consider user emotions during the digitization process of handwritten schedules, resulting in a poor user experience. Additionally, in store operations, managing employee shifts can easily become complicated, making efficient schedule management difficult. The present invention aims to solve these issues by simplifying the digitization process of handwritten schedules and providing a better user experience by considering user emotions.

[1434] 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.

[1435] In this invention, the server includes an input means for transmitting image data containing a handwritten schedule via a communication line, a character recognition means for performing character recognition on the image data and extracting schedule information, a notification means for proposing the schedule information to a user, a confirmation means for the user to confirm and approve or modify the proposed schedule information, a registration means for registering the approved or modified schedule information in an electronic calendar, an emotion recognition means for analyzing the user's emotions, an adjustment means for adjusting the proposed schedule in consideration of the emotion information obtained by the emotion recognition means, and a push notification means for notifying the user of the proposed schedule. This enables quick and efficient digitization of handwritten schedules and further realizes schedule management that takes user emotions into consideration.

[1436] A "handwritten schedule" is a schedule that is physically written using analog means such as paper or a whiteboard.

[1437] "Image data" refers to data that captures a handwritten schedule as a digital image using a device such as a camera or scanner.

[1438] A "communication line" is a path for sending and receiving data over the Internet, a local network, etc.

[1439] "Input means" refers to a device or application that allows a user to take a photo of a handwritten schedule and send the image data to a server via a communication line.

[1440] "Character recognition" is the process of extracting text information from image data, typically using OCR (Optical Character Recognition) technology.

[1441] "Character recognition means" refers to a device or software that analyzes handwritten text contained in image data and extracts schedule information as digital text.

[1442] "Schedule information" is specific data relating to the date, time, and content of a schedule.

[1443] The "notification means" refers to a device or application that notifies the user of the extracted schedule information.

[1444] "Verification means" means a device or interface that allows a user to review and approve or modify proposed schedule information.

[1445] "Registration means" refers to a device or software for registering schedule information approved or modified by a user in an electronic calendar.

[1446] "Emotion recognition means" refers to devices or software that analyze a user's emotional state from their voice or text.

[1447] The "adjustment means" refers to a device or software that adjusts the schedule proposal taking into account the emotional information obtained by the emotion recognition means.

[1448] "Push notification means" means a device or software for automatically sending generated schedule suggestions to a user's device.

[1449] An "electronic calendar" is a calendar application or system that is maintained in digital form.

[1450] The system for implementing this invention streamlines the process by which store clerks and managers can take a photo of their handwritten shift schedule with a smartphone or tablet, digitize it, and register it in an electronic calendar. Furthermore, the system provides a better user experience by recognizing the user's emotions and adjusting schedule suggestions accordingly.

[1451] System configuration

[1452] Hardware

[1453] Smartphone / tablet: Used by store associates and managers to take photos of handwritten shift schedules.

[1454] Server: Analyzes image data, recognizes characters and emotions, generates schedule suggestions, notifies users, and registers them in an electronic calendar.

[1455] software

[1456] OCR engine: Used to recognize characters from image data. A typical example is the Google Cloud Vision API.

[1457] Emotion recognition engine: Used to analyze emotions from voice and text. A typical example is IBM Watson Tone Analyzer.

[1458] Communication line: Network infrastructure for sending image data from the smartphone to the server and for sending notifications from the server to the smartphone.

[1459] Push notification system: Notify users of schedule suggestions using Firebase Cloud Messaging or similar.

[1460] Electronic calendar API: Register schedule information using Google Calendar API, etc.

[1461] Program processing

[1462] 1. Input of image data

[1463] The user (a store clerk or manager) takes a photo of a handwritten shift schedule using the camera on their smartphone or tablet, and the captured image data is sent to the server via a messaging app.

[1464] 2. Image analysis and character recognition

[1465] The server performs character recognition (OCR) on the image data it receives and extracts text information such as the shift date, time, and content. It uses the Google Cloud Vision API to analyze and recognize handwritten characters in the image.

[1466] 3. Emotion recognition

[1467] The server performs emotion recognition based on the voice or text data received from the user, using emotion recognition engines such as IBM Watson Tone Analyzer to detect, for example, fatigue or stress.

[1468] 4. Schedule proposal generation and notification

[1469] Generate schedule suggestions using the extracted text information, adjust the schedule taking into account the emotion recognition results in a way that is easy for the user to review, and send the schedule suggestions to the user via push notifications via Firebase Cloud Messaging.

[1470] 5. Check and correct the schedule

[1471] Users can review the proposed schedule on their smartphone application, make any necessary corrections, and finally approve it.

[1472] 6. Electronic calendar registration

[1473] The approved schedule information is registered in the electronic calendar via the Google Calendar API, and all employees are notified that registration has been completed.

[1474] Specific examples

[1475] Shift schedule management example

[1476] Employee A handwrites the next month's shift schedule, then takes a photo of it with their smartphone camera and uploads it. The server receives the image data and uses the Google Cloud Vision API to recognize it as "November 5th, 9:00-18:00 shift." Furthermore, an emotion recognition engine detects fatigue levels from the user's voice and text at the time of uploading. The system generates a proposed schedule in a simple, easy-to-view format and sends a push notification to the user via Firebase Cloud Messaging. Manager B then checks the schedule on their smartphone and finally registers the shift using the Google Calendar API.

[1477] Example prompts for generative AI models

[1478] Billing model: OpenAI GPT-4

[1479] prompt:

[1480] "The store staff took a photo of their handwritten shift schedule with their smartphone and uploaded it to the app. The OCR engine analyzed it to extract the shift details, and the sentiment analysis engine recognized the staff's fatigue. Please provide the schedule proposal in a simple, easy-to-read format. Once the store manager has reviewed and approved it, please add it to Google Calendar and notify all employees."

[1481] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1482] Step 1:

[1483] A user (a store clerk or manager) takes a photo of a handwritten shift schedule with a smartphone camera and saves it as image data. The user then sends the image data to a server via a messaging app. The input is the image data of the handwritten schedule, and the output is the transmission of the image data to the server.

[1484] Step 2:

[1485] The server passes the image data received via the communication line to a character recognition means (Google Cloud Vision API) for character recognition. The input is the received image data, and the output is the extracted schedule information (text data).

[1486] Step 3:

[1487] The server passes the user's voice data and text messages to an emotion recognition unit (IBM Watson Tone Analyzer) for emotion analysis. The input is the voice data or text message, and the output is the user's emotional state (fatigue, stress, etc.)

[1488] Step 4:

[1489] The server generates schedule proposals based on the schedule information extracted as a result of character recognition and the emotion analysis results. Taking the emotion analysis results into account, it makes adjustments according to the user's emotional state. The input is the schedule information and the emotional state, and the output is the adjusted schedule proposal.

[1490] Step 5:

[1491] The server sends the generated schedule proposal to the user's smartphone via a push notification mechanism (Firebase Cloud Messaging). The input is the adjusted schedule proposal, and the output is the push notification sent to the user.

[1492] Step 6:

[1493] The user checks the schedule proposal received on the smartphone application and makes any necessary corrections. The corrections are then sent to the server. The input is the proposed schedule information, and the output is the schedule information confirmed and corrected by the user.

[1494] Step 7:

[1495] The server registers the final schedule information approved or modified by the user in the electronic calendar via the electronic calendar API (Google Calendar API). The input is the final schedule information, and the output is the shift schedule registered in the electronic calendar.

[1496] Step 8:

[1497] The server sends a notification of the completion of registration to the user and all other parties. The input is the status information of the completion of registration, and the output is the notification of the completion of registration.

[1498] 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.

[1499] 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.

[1500] 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 robot 414.

[1501] 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.

[1502] FIG. 9 illustrates 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 behaviors 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.

[1503] 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.

[1504] 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).

[1505] 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.

[1506] 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."

[1507] 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.

[1508] 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).

[1509] 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.

[1510] 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.

[1511] 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.

[1512] 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.

[1513] 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.

[1514] 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.

[1515] 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.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] The following is further disclosed regarding the above embodiment.

[1520] (Claim 1)

[1521] an input means for transmitting image data containing a handwritten schedule via a communication line;

[1522] character recognition means for performing character recognition on the image data and extracting schedule information;

[1523] notification means for suggesting the schedule information to a user;

[1524] a review means for the user to review and approve or modify the proposed schedule information;

[1525] a registration means for registering the approved or corrected schedule information in an electronic calendar;

[1526] Including system.

[1527] (Claim 2)

[1528] 10. The system of claim 1, wherein the input means transmits image data via a messaging app.

[1529] (Claim 3)

[1530] 2. The system of claim 1, wherein the notification means proposes schedule information to the user via a messaging app.

[1531] "Example 1"

[1532] (Claim 1)

[1533] an input means for transmitting image data containing a handwritten schedule via a communication line;

[1534] character recognition means for performing character recognition on the image data and extracting schedule information;

[1535] means for analyzing the schedule information and generating a schedule proposal;

[1536] a notification means for notifying a user of the generated schedule plan;

[1537] a review means for allowing the user to review the proposed schedule and make revisions as necessary;

[1538] a registration means for registering the approved or corrected schedule information in an electronic calendar;

[1539] Including system.

[1540] (Claim 2)

[1541] 10. The system of claim 1, wherein the input means transmits image data via a messaging app.

[1542] (Claim 3)

[1543] 2. The system of claim 1, wherein the notification means notifies the user of the proposed schedule via a messaging app.

[1544] "Application Example 1"

[1545] (Claim 1)

[1546] an input means for transmitting image data containing handwritten work schedules via a communication line;

[1547] character recognition means for performing character recognition on the image data and extracting work information;

[1548] a notification means for suggesting the work information to a worker;

[1549] a confirmation means for the worker to confirm and approve or modify the proposed work information;

[1550] a registration means for registering the approved or corrected work information in a digital calendar;

[1551] Including system.

[1552] (Claim 2)

[1553] 10. The system of claim 1, wherein the input means transmits the image data via a messaging system.

[1554] (Claim 3)

[1555] 2. The system according to claim 1, wherein the notification means proposes the work information to the worker via a messaging system.

[1556] "Example 2: Combining Emotion Engines"

[1557] (Claim 1)

[1558] an input means for transmitting image data containing a handwritten schedule via a communication line;

[1559] character recognition means for performing character recognition on the image data and extracting schedule information;

[1560] notification means for suggesting the schedule information to a user;

[1561] emotion recognition means for analyzing the emotional state of a user;

[1562] adjusting means for adjusting the schedule proposal based on the emotional state obtained by the emotion recognition means;

[1563] a review means for the user to review and approve or modify the proposed schedule information;

[1564] a registration means for registering the approved or corrected schedule information in an electronic calendar;

[1565] Including system.

[1566] (Claim 2)

[1567] 10. The system of claim 1, wherein the input means transmits image data via a messaging app.

[1568] (Claim 3)

[1569] 2. The system of claim 1, wherein the notification means proposes schedule information to the user via a messaging app.

[1570] "Application example 2 when combining emotion engines"

[1571] (Claim 1)

[1572] an input means for transmitting image data containing a handwritten schedule via a communication line;

[1573] character recognition means for performing character recognition on the image data and extracting schedule information;

[1574] notification means for suggesting the schedule information to a user;

[1575] a review means for the user to review and approve or modify the proposed schedule information;

[1576] a registration means for registering the approved or modified schedule information in an electronic calendar;

[1577] an emotion recognition means for analyzing the emotion of a user;

[1578] an adjustment means for adjusting the schedule proposal in consideration of the emotion information obtained by the emotion recognition means;

[1579] Push notification method to notify users of schedule suggestions

[1580] A system including:

[1581] (Claim 2)

[1582] 10. The system of claim 1, wherein the input means transmits image data via a messaging app.

[1583] (Claim 3)

[1584] 10. The system of claim 1, wherein the notification means proposes schedule information to the user via a push notification system. [Explanation of symbols]

[1585] 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. an input means for transmitting image data containing a handwritten schedule via a communication line; character recognition means for performing character recognition on the image data and extracting schedule information; notification means for suggesting the schedule information to a user; a review means for the user to review and approve or modify the proposed schedule information; a registration means for registering the approved or corrected schedule information in an electronic calendar; Including system.

2. The system of claim 1 , wherein the input means transmits image data via a messaging app.

3. The system of claim 1 , wherein the notification means proposes schedule information to the user via a messaging app.

Images