system

Abstract

Provide a system. A means for acquiring location information; a means of obtaining health information; A means for obtaining payment information; a means for obtaining search information; A means for obtaining weather information; a means for aggregating the information and transmitting it to a server; A means for automatically generating a life log based on the information received by the server; A means for the server to convert the life log into a diary format based on keywords from the user; A means for enabling a user to view, add to, and modify a life log or diary; A system including:

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, seniors and people with memory impairments need a way to easily review their own behavior and enrich their daily lives. Conventional methods require time and effort to record daily events, making it particularly difficult for seniors and people with memory impairments. Even for average users, there is a lack of easy ways to review their daily activities. To address these issues, a solution is needed that automatically collects users' lifestyle information and allows them to easily review it as a life log. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system that includes: means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, and means for acquiring weather information; means for aggregating this information and transmitting it to a server; means for the server to automatically generate a life log based on the information received; means for the server to convert the life log into a diary format based on keywords provided by the user; and means for allowing users to view, add to, and edit the life log and diary. The system periodically collects location information, health information, payment information, search information, and weather information and transmits them to the server in a lump sum. The server then analyzes the received data, generates a life log on a daily basis, and stores it in a database. This allows users to easily check and edit the contents of their life log.

[0006] "Location information" is latitude and longitude data for identifying the user's current location.

[0007] "Health information" is data that indicates the physical condition of the user, and specifically includes information such as the number of steps taken and heart rate.

[0008] "Payment Information" is data regarding payments made by a user for specific products or services.

[0009] "Search Information" is data about search queries conducted by users on the Internet and the results of those queries.

[0010] "Weather information" is data indicating the weather conditions at the user's current location, and specifically includes the temperature and weather conditions.

[0011] A "life log" is information that records a user's daily activities and environmental data in chronological order.

[0012] A "server" is a computer system that receives, stores, and analyzes collected data.

[0013] "Keywords" are important words or phrases that a user specifies when converting a life log into a diary format.

[0014] A "user" is an individual who uses this system to record, check, and edit their own behavior, health status, etc. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] The purpose of this invention is to provide a system that automatically records a user's daily activities and health status, and then visually checks, edits, and converts the records into a diary format. This system is mainly composed of a terminal, a server, and a user.

[0037] The system of the present invention is implemented in the following manner.

[0038] Data collection

[0039] Terminal: Data collection

[0040] The device collects the user's location, health, payment, search, and weather information. This collection can be done, for example, as follows:

[0041] Location information collection

[0042] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[0043] Collection of health information

[0044] The device uses a health care app to obtain the user's health status, such as the number of steps taken and heart rate.

[0045] Collection of payment information

[0046] The terminal obtains payment data indicating where and what the user purchased from the electronic money or credit card usage history.

[0047] Collecting search information

[0048] The device retrieves the user's web search history, which identifies keywords and websites the user has recently searched for.

[0049] Collecting weather information

[0050] Your device will retrieve weather information for your current location via the internet, including weather conditions (sunny, rainy, etc.) and temperature.

[0051] Data transmission

[0052] Terminal: Data transmission

[0053] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[0054] Lifelog generation

[0055] Server: Lifelog generation

[0056] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The server then compiles the received data into a single life log entry and stores it in a database.

[0057] Diary conversion

[0058] Server: Diary conversion

[0059] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[0060] View, add, and edit

[0061] Device: View, add, edit

[0062] Users can view the lifelogs and diaries they have created using their devices. If necessary, they can edit the content or add new information. For example, they can add, "I had a delicious coffee at the cafe."

[0063] Specific examples

[0064] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then generates the user's daily fishing log based on that information. When the user points out a specific keyword, the server generates a diary-style text corresponding to that keyword and sends it to the device. The user can then review it, add or edit it, and complete the final diary-style life log.

[0065] The system of the present invention allows users to easily review their own behavior, which is particularly useful for seniors and people with memory impairments. It will also be a useful tool for general users to improve their lives.

[0066] The processing flow will be explained below.

[0067] Step 1:

[0068] Terminal: Data collection

[0069] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[0070] Step 2:

[0071] Terminal: Data transmission

[0072] The collected data is compiled into a specific format and sent to the server in bulk. The transmission method is an HTTP POST request, and a mechanism is implemented to retry in the event of an error. The data sent includes location information, health information, payment information, search information, and weather information.

[0073] Step 3:

[0074] Server: Data reception

[0075] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information or health information, to be stored separately on the server.

[0076] Step 4:

[0077] Server: Lifelog generation

[0078] The server automatically generates a daily life log based on the data it receives. Specifically, it combines location information, health information, payment information, search information, and weather information to generate a single life log entry. This life log entry is then stored in a database.

[0079] Step 5:

[0080] Server: Diary conversion

[0081] The user sends a keyword to the server via their device. The server converts the life log into a diary-style sentence based on the received keyword. For example, if the keyword "location information" is sent, the sentence "Today I went to Shibuya Ward, Tokyo" will be generated.

[0082] Step 6:

[0083] Terminal: View Logs

[0084] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[0085] Step 7:

[0086] User:Edit Log

[0087] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0088] Step 8:

[0089] Server:Database Update

[0090] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[0091] Through the above processing steps, the system automatically collects and records information about the user's daily life, and makes it possible to display and edit it in diary format.

[0092] Example 1

[0093] 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."

[0094] In modern life, it is important to record detailed information about personal activities and health status and review it later. However, manually recording this information is extremely time-consuming and difficult to do continuously. In addition, visually organizing this information and converting it into an easy-to-understand format requires specialized knowledge, which is a burden for ordinary users. Given this background, there is a demand for a system that can automatically record and visually check a user's activities and health status.

[0095] 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.

[0096] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to an external storage device, means for automatically generating an activity record based on the information received by the external storage device, means for converting the activity record into a text format based on keywords from the user by the external storage device, and means for enabling the user to view, add to, and modify the activity record and text. This allows the user to automatically record their daily activities and health status and visually check and edit them.

[0097] "Location information" is coordinate data for indicating a specific point on the earth, and is expressed using latitude and longitude.

[0098] "Health information" is data that indicates an individual's physical condition, including the number of steps taken, heart rate, calories burned, and the like.

[0099] "Payment Information" refers to data related to transactions that occur when purchasing goods or services, and includes information about the place of purchase, the items purchased, the amount, and the means of payment.

[0100] "Search information" is data indicating the search history of a user on the Internet, including specific keywords and website visit history.

[0101] "Weather information" is data that indicates the weather conditions at a specific location, and includes temperature, precipitation, wind speed, humidity, and the like.

[0102] An "external storage device" is a system for storing and managing data, including databases such as servers and cloud storage.

[0103] "Behavior records" are data that record a user's daily activities and behavior along a timeline, and are an integration of location information, health information, payment information, search information, and weather information.

[0104] The "text format" is a format in which collected data is expressed as text in natural language, and is converted into a form that is easy for users to understand.

[0105] "User" refers to an individual who uses the system and operates the system for the purpose of recording and checking their own behavior and health status.

[0106] The present invention is a system that automatically records a user's daily activities and health status, and allows them to visually review, edit, and convert the records into a diary format. This system is mainly composed of a terminal, a server, and a user. Specific embodiments of the system are described in detail below.

[0107] Data collection

[0108] The device collects data

[0109] The device uses hardware and software such as GPS sensors and healthcare apps to collect various information about the user, including:

[0110] Location information

[0111] The device uses the built-in GPS sensor to obtain the user's latitude, longitude, and acquisition time in real time. For example, if the user is in Shibuya Ward, Tokyo, the GPS sensor will collect that information.

[0112] health information

[0113] The device uses a health care app (for example, Apple Health or GOOGLE FI (registered trademark)) to acquire the user's number of steps, heart rate, etc. For example, data on 10,000 steps walked in a day is collected.

[0114] Payment information

[0115] The device accesses the usage history of credit cards and electronic money apps and records information about where and what the user purchased. For example, if a user purchases coffee at a convenience store, the payment information is stored on the device.

[0116] Search Information

[0117] The device retrieves the user's browser history and records their web search history. For example, if a user searches for "Shinjuku Ramen," that keyword will be saved on the device.

[0118] Weather information

[0119] The device will retrieve weather information for the current location via the internet. For example, it will retrieve information that it is sunny and 25 degrees.

[0120] Data transmission

[0121] The device sends the data to the server

[0122] The collected data is sent to the server in bulk using an HTTP POST request. The data is formatted in JSON format and error handling is implemented during transmission. For example, location information, health information, payment information, etc. are bundled into a single data packet and sent to the server.

[0123] Lifelog generation

[0124] The server generates a lifelog

[0125] The server analyzes the data received from the device and uses software (for example, a data analysis tool or life log generation software) to automatically generate a life log on a daily basis. The received data is compiled into a single life log entry and saved in a database. For example, one day's data could be saved in the form of "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Bought coffee at a convenience store."

[0126] Diary conversion

[0127] The server converts the life log into a diary format.

[0128] When a user inputs a specific keyword (e.g., "location information" or "health information"), the server converts the life log into a diary-style sentence based on that keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." A generative AI model is used for this conversion.

[0129] View, add, and edit

[0130] View, add, and edit your life log or diary on your device

[0131] Users can easily view the lifelogs and diaries they have created using their devices. They can also edit the content or add new information as needed. For example, they can add "I had a delicious coffee at a cafe" to the record for that day.

[0132] Specific examples

[0133] When a user carries a device around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, and weather information. For example, if a user leaves home at 8:00 AM, arrives in Shibuya at 10:00 AM, walks 10,000 steps after lunch, and buys coffee at a convenience store in the evening, the device also updates the weather information from time to time. This collected data is periodically sent to a server, which organizes it by day and stores it in a database.

[0134] Example prompts for generative AI models

[0135] For example, by inputting the following prompt sentence into a generative AI model, a diary-style text will be generated:

[0136] "Generate a diary-style text based on location and health information for October 1, 2023."

[0137] This system allows users to easily review their own behavior, which is particularly useful for seniors and those with memory problems, and is also a useful tool for general users to improve their lives.

[0138] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0139] Step 1:

[0140] Location information collection

[0141] The device starts processing

[0142] Input: current user location

[0143] How it works: The device activates its built-in GPS sensor and periodically obtains the user's latitude, longitude, and acquisition time.

[0144] Output: User's location data (latitude, longitude, time)

[0145] Example: Obtain the location information (latitude 35.6645 degrees, longitude 139.7034 degrees, time 14:30) of a user whose device is in Shibuya Ward, Tokyo.

[0146] Step 2:

[0147] Collection of health information

[0148] The device starts processing

[0149] Input: User's health data (step count, heart rate, etc.)

[0150] How it works: Your device uses the Health app to periodically collect your health data.

[0151] Output: User's health information data (number of steps, heart rate, etc.)

[0152] Example: A device collects data showing that it walked 10,000 steps in a day.

[0153] Step 3:

[0154] Collection of payment information

[0155] The device starts processing

[0156] Input: User's payment history

[0157] How it works: The device accesses the credit card or electronic money app to obtain the purchase location, items, and amount.

[0158] Output: User payment information data (purchase location, purchased items, amount)

[0159] Example: The device obtains information that a user purchased coffee at a convenience store.

[0160] Step 4:

[0161] Collecting search information

[0162] The device starts processing

[0163] Input: User's web search history

[0164] How it works: Your device retrieves your browser history to identify search keywords.

[0165] Output: User search information data (search keywords)

[0166] Example: The device retrieves the search history for "Shinjuku Ramen."

[0167] Step 5:

[0168] Collecting weather information

[0169] The device starts processing

[0170] Input: Current location

[0171] How it works: The device retrieves weather information for the current location via the Internet.

[0172] Output: Weather information data (temperature, weather conditions, etc.)

[0173] Example: The device retrieves weather information for Shibuya-ku, Tokyo (sunny, temperature 25 degrees).

[0174] Step 6:

[0175] Data Formatting

[0176] The device starts processing

[0177] Input: Location information, health information, payment information, search information, weather information

[0178] Operation: Formats various data collected by the device into JSON format.

[0179] Output: JSON format data

[0180] For example, format the data as follows:

[0181] json

[0182] {

[0183] "location": {"lat": 35.6645, "long": 139.7034, "timestamp": "2023-10-01T14:30:00Z"},

[0184] "health": {"steps": 10000, "heart_rate": 80},

[0185] "payment": {"store": "convenience store", "item": "coffee", "price": 100},

[0186] "search": {"keyword": "Shinjuku Ramen"},

[0187] "weather": {"condition": "sunny", "temperature": 25}

[0188] }

[0189] Step 7:

[0190] Sending data

[0191] The device starts processing

[0192] Input: JSON format data

[0193] How it works: The device sends data to the server using an HTTP POST request, including error handling.

[0194] Output: Data sent to the server

[0195] Example: The terminal sends formatted data to the server and outputs a log message stating "Data transmission completed."

[0196] Step 8:

[0197] Generating a life log

[0198] The server starts processing

[0199] Input: Data received from the terminal

[0200] Operation: The server analyzes the received data, automatically generates a life log on a daily basis, and stores it in a database.

[0201] Output: Daily life log data

[0202] Example: The server generates an entry that reads, "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Purchased coffee at a convenience store." and saves it in the database.

[0203] Step 9:

[0204] Converting to diary format

[0205] The server starts processing

[0206] Input: User-specified keywords

[0207] How it works: The server converts the lifelog into text based on keywords. It then generates the text using a generative AI model.

[0208] Output: diary-style text

[0209] Example: When a user specifies the keyword "location information," the sentence "Today I went to Shibuya Ward, Tokyo" is generated.

[0210] Step 10:

[0211] View, add, and edit life logs and diaries

[0212] The user initiates the action

[0213] Input: diary-style writing or life log

[0214] How it works: The user uses the device to view the lifelog or diary created and edit or add new information as needed.

[0215] Output: Lifelogs and diaries that have been revised or added

[0216] Example: A user can add to their diary, "I had a nice coffee at the cafe."

[0217] (Application example 1)

[0218] 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."

[0219] Conventional lifelog systems simply record and display users' behavior and health information, and do not adequately apply the collected data to the user's real life. Furthermore, conventional systems do not take commercial use into consideration, and do not offer personalized product recommendations based on the user's lifelog. As a result, improvements in convenience and added value for users are limited.

[0220] 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.

[0221] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log and diary, and means for analyzing the life log and suggesting products in a virtual store. This enables commercial application of life log data and enables the provision of more personalized and useful services to users.

[0222] "Location information" is geographical data such as latitude and longitude that indicates the user's current location.

[0223] "Health information" is data related to the user's physical condition, and specifically includes the number of steps taken, heart rate, and the like.

[0224] "Payment information" refers to data related to products and services purchased by users, including usage history of electronic money, credit cards, etc.

[0225] "Search information" refers to data such as the user's search history and browsing history on the Internet.

[0226] "Weather information" is data indicating the weather conditions at the user's current location, including whether the weather is sunny or rainy and the temperature.

[0227] A "life log" is a collection of data that records a user's daily activities, health status, and so on.

[0228] A "virtual store" is a virtual commercial space that exists on the Internet where users can purchase goods and services online.

[0229] "Product suggestion" refers to the act of recommending individually suitable products and services based on the user's life log data.

[0230] The present invention is a system that automatically records a user's daily activities and health status, and then suggests products in a virtual store based on the records. This system is mainly composed of a terminal, a server, and a user.

[0231] Data collection

[0232] Terminal: Data collection

[0233] The device uses the GPS sensor, health app, payment app, web browser and internet to collect the following data:

[0234] Location information:

[0235] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[0236] Health information:

[0237] A healthcare app is used to obtain the user's health status, such as the number of steps taken and heart rate.

[0238] Payment Information:

[0239] Payment data showing where and what a user purchased is obtained from the usage history of electronic money and credit cards.

[0240] Search information:

[0241] Obtain the user's search history from their web browser to identify recently searched keywords and websites.

[0242] Weather information:

[0243] Weather information for the current location is obtained from the Internet and includes weather conditions (sunny, rainy, etc.) and temperature.

[0244] Data transmission

[0245] Terminal: Data transmission

[0246] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[0247] Lifelog generation

[0248] Server: Lifelog generation

[0249] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The received data is compiled into a single life log entry and stored in a database.

[0250] Diary conversion

[0251] Server: Diary conversion

[0252] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[0253] commercial use

[0254] Server: Product suggestions

[0255] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, if a user has a tendency to have a high heart rate, it will suggest products with a relaxing effect.

[0256] View, add, and edit

[0257] Device: View, add, edit

[0258] Users can view the lifelogs and diaries they have created using their devices. They can add or modify content as needed. For example, they can add a note like, "I had a delicious coffee at the cafe."

[0259] Specific examples

[0260] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then uses it to generate a diary log for the user. When the user specifies a specific keyword, the server generates a diary-style text corresponding to that keyword and further analyzes the life log data to suggest recommended products in a virtual store. For example, if a user's recent health data shows a high heart rate, the server can suggest products with a relaxing effect.

[0261] Example prompts to input to the generative AI model:

[0262] "Please recommend products based on the user's life log data. The user's heart rate has been high recently. Please suggest products that have a relaxing effect."

[0263] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0264] Step 1:

[0265] Data collection

[0266] The device collects the user's location, health, payment, search, and weather information. Specifically, it obtains latitude and longitude using a GPS sensor, measures steps and heart rate using a health app, obtains purchase history using a payment app, and obtains search history using a web browser. Weather information is obtained via the Internet. This data is packaged in an appropriate format. The input is data from various sensors and apps, and the output is an integrated field of the collected data.

[0267] Step 2:

[0268] Data transmission

[0269] The terminal sends the collected data to the server using an HTTP POST request. The properly formatted data arrives at the server after error processing. The input is the data packaged on the terminal side, and the output is the data received on the server side.

[0270] Step 3:

[0271] Lifelog generation

[0272] The server analyzes the data received from the device and automatically generates a daily lifelog. The received data is analyzed, compiled into specific lifelog entries, and stored in a database. The input is the various data sent to the server, and the output is the generated lifelog entries.

[0273] Step 4:

[0274] Diary conversion

[0275] When a user specifies a specific keyword, the server converts the life log into a diary-style sentence based on that keyword. For example, if a user specifies the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." The input is the keyword from the user, and the output is the generated diary-style sentence.

[0276] Step 5:

[0277] Product proposals

[0278] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, it suggests products with a relaxing effect to a user with a high heart rate. The input is the life log data, and the output is a list of products suggested in the virtual store.

[0279] Step 6:

[0280] View, add, and edit

[0281] Users can view the lifelogs and diaries they have created on their devices and add or modify content as needed. For example, it is possible to add a note such as "I had a delicious coffee at the cafe." The input is the lifelog or diary data that has been created, and the output is the data modified or added by the user.

[0282] 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.

[0283] This system aims to automatically record a user's daily activities and health status, recognize their emotional state, add it to a life log, visually check it, edit it, and convert it into a diary format. This system is mainly composed of a terminal, a server, an emotion engine, and a user.

[0284] The system of the present invention is implemented in the following manner.

[0285] Data collection

[0286] Terminal: Data collection

[0287] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[0288] emotion recognition

[0289] Device: Emotion data collection

[0290] The device collects the user's text input, voice input, and image data and sends them to the emotion engine.

[0291] Emotion Engine: Emotion Analysis

[0292] The emotion engine analyzes the collected data and identifies the user's emotions. For example, it uses text analysis to determine the user's emotional state from their written content, and voice analysis and facial recognition technology to recognize emotions from the user's voice and facial expressions.

[0293] Data transmission

[0294] Terminal: Data transmission

[0295] The collected data and emotion analysis results are compiled into a specific format and sent to the server in one batch. The transmission method is an HTTP POST request, with a mechanism to retry in case of an error. The data sent includes location information, health information, payment information, search information, weather information, and emotion data.

[0296] Lifelog generation

[0297] Server: Data reception

[0298] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information, health information, and emotional data, to be stored separately on the server.

[0299] Server: Lifelog generation

[0300] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data to generate a single life log entry. This life log entry is then stored in a database.

[0301] Diary conversion

[0302] Server: Diary conversion

[0303] The user sends keywords to the server via their device. The server converts the life log into diary-style text based on the received keywords. For example, if the keywords "location information" and "emotional state" are sent, a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[0304] View, add, and edit

[0305] Terminal: View Logs

[0306] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[0307] User:Edit Log

[0308] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0309] Database Update

[0310] Server:Database Update

[0311] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[0312] Specific examples

[0313] When a user carries the device around in their daily life, it automatically collects location, health, payment, search, and weather information. The emotion engine also analyzes the text, voice, and image data the user inputs through the device to recognize the user's emotional state. The collected data and the results of the emotion analysis are periodically sent to a server, which then generates a daily life log based on that data. When the user specifies keywords, the server converts the life log into diary-style text and presents it to the user. The user can review the text and add or edit the content.

[0314] The system of the present invention allows users to easily record and review their own actions and emotions. This is particularly useful for seniors and people with memory impairments. It can also be a useful tool for general users to improve their lives.

[0315] The processing flow will be explained below.

[0316] Step 1:

[0317] Terminal: Data collection

[0318] The device collects the user's location, health, payment, search, and weather information. Specifically, the device uses a GPS sensor to determine latitude and longitude, and obtains step counts and heart rate data from a health app. It also collects payment information from electronic money and credit card usage history and obtains search queries from browser history. It also obtains weather information for the user's current location via the Internet.

[0319] Step 2:

[0320] Device: Emotion data collection

[0321] The device collects the user's text input (messages and diary entries), voice input (speech and voice memos), and image data (photos and facial expressions), and sends this data to the emotion engine.

[0322] Step 3:

[0323] Emotion Engine: Emotion Analysis

[0324] The emotion engine analyzes the received text, audio, and image data to identify the user's emotions. Text analysis extracts emotions from keywords and context, audio analysis analyzes the tone and tempo of sounds, and image analysis recognizes facial expressions in images to assess the user's emotional state.

[0325] Step 4:

[0326] Terminal: Data transmission

[0327] The collected data (location information, health information, payment information, search information, weather information) and the emotion analysis results are sent to the server in one batch. The sending method is an HTTP POST request, and includes a process to retry data transmission if it fails.

[0328] Step 5:

[0329] Server: Data reception

[0330] The server receives the data sent from the device, analyzes and organizes each data point, and categorizes the received data into location information, health information, payment information, search information, weather information, and emotion data.

[0331] Step 6:

[0332] Server: Lifelog generation

[0333] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates various data and creates life log entries for each date and time. The created entries are saved in a database.

[0334] Step 7:

[0335] Server: Diary conversion

[0336] The user sends keywords to the server via their device. For example, if they input "location information" and "emotional state," the server generates a diary entry such as "Today I went to Shibuya Ward, Tokyo. I felt good" based on the corresponding life log entry.

[0337] Step 8:

[0338] Terminal: View Logs

[0339] The server sends the diary-style text it has created to the terminal. The terminal displays the received diary-style text to the user. The display format is arranged to make it easy for the user to see and check.

[0340] Step 9:

[0341] User:Edit Log

[0342] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0343] Step 10:

[0344] Server:Database Update

[0345] The server receives the updates sent by the user and updates the corresponding entries in the database, so that the updated lifelog is stored for future reference and further editing.

[0346] Through the above processing steps, the system automatically collects and records information about the user's daily life, recognizes their emotional state, adds it to a life log, and makes it possible to display and edit it in diary format.

[0347] Example 2

[0348] 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."

[0349] In today's busy lifestyles, it is difficult for users to centrally and automatically record their daily activities, health status, and even emotional state, and easily review them. Seniors and people with memory impairments in particular need tools that allow them to accurately retain daily memories and manage their health.

[0350] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the terminal includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for collecting user emotion data and transmitting it to an emotion engine, and means for transmitting the collected information and emotion analysis results to a server. The emotion engine includes means for analyzing the emotion data and identifying the user's emotional state, and the server includes means for automatically generating a life log based on the received information, means for converting the life log into a diary format based on keywords from the user, and means for displaying the generated life log and diary to the user and enabling them to view, add to, and edit them. This allows the user's daily activities, health status, and emotional state to be centrally and automatically recorded and easily reviewed.

[0351] A "terminal" is an electronic device that can be carried by a user and that collects and transmits data using various sensors and applications.

[0352] "Location Information" means the geographic latitude and longitude data of a Device obtained using a GPS sensor.

[0353] "Health information" refers to physiological data such as the user's steps, heart rate, and activity level collected through the device's health care app and sensors.

[0354] "Payment information" refers to data about a user's purchasing activities collected through electronic money or credit card usage history.

[0355] "Search Information" means historical data about search queries made and web pages viewed by a user through a web browser.

[0356] "Weather information" refers to data provided via the Internet about the weather at a user's current location or in a specified area.

[0357] "Emotional Data" means data about a user's emotional state that is collected through the user's text input, voice input, or image data.

[0358] An "emotion engine" is a software component that analyzes a user's emotional data and recognizes and identifies their emotional state.

[0359] A "server" is a remotely located computer system that receives and stores data sent from devices and generates life logs.

[0360] A "life log" is data that records a user's actions and status in their daily life, and includes location information, health information, payment information, search information, weather information, and emotional data.

[0361] The "diary format" is a format in which life log data is expressed as text in natural sentences, and is easy for users to intuitively understand.

[0362] This invention is a system that automatically records a user's daily activities, health status, and emotional state, and manages and displays them as a life log. The main components of the system are the terminal, server, emotion engine, and user.

[0363] Hardware and Software Configuration

[0364] Terminal

[0365] A device is an electronic device carried by a user that collects data using various sensors and applications. Specific examples include smartphones and smartwatches.

[0366] The device includes the following sensors and applications:

[0367] GPS sensor: Used to obtain location information.

[0368] Health app: Collects health information such as steps taken and heart rate.

[0369] Payment app: Obtains payment information from electronic money and credit card usage history.

[0370] Web browser: Collects search history.

[0371] Weather Information API: Obtain weather information via the Internet.

[0372] Microphone and camera: Collects audio input and image data.

[0373] server

[0374] The server is a remotely located computer system that receives, stores, and analyzes various data sent from the terminals.

[0375] The server includes the following software components:

[0376] Database system: Efficiently stores received data.

[0377] Lifelog generation algorithm: Automatically generates a lifelog on a daily basis.

[0378] Natural language generation engine: Converts life logs into diary-style text.

[0379] Emotion Engine

[0380] The emotion engine is a software component that has the function of analyzing the user's emotion data and identifying the user's emotional state.

[0381] Natural language processing techniques are used to analyze text data, and speech analysis techniques are used to analyze audio data.

[0382] Image recognition technology is used to recognize facial expressions from image data.

[0383] Usage Scenarios and Examples

[0384] Data collection scenario:

[0385] When users carry a smartphone or smartwatch around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, weather information, as well as text, voice, and image data that users input into the device.

[0386] Examples:

[0387] While the user is walking, the smartwatch measures the number of steps and heart rate, and the GPS sensor records the user's location (latitude and longitude).

[0388] When shopping at a convenience store, electronic money is used and the payment information is recorded.

[0389] They then search the internet for healthy eating tips and their history is collected.

[0390] Emotion Recognition Scenario:

[0391] If a user types into a diary app, "Today I'm tired, but it was fun," the emotion engine analyzes the text and identifies emotional states such as "tired" or "fun." Emotion recognition is also performed using voice input and image data.

[0392] Data transmission scenarios:

[0393] The collected data and sentiment analysis results are sent from the device to the server in bulk using an HTTP POST request, with retries being performed in the event of an error.

[0394] Lifelog generation scenarios:

[0395] The server analyzes the received data and automatically generates a daily life log. For example, by integrating location, health, and emotional data, an entry such as "October 15, 2023, Location: Shibuya Ward, Steps: 5,000, Emotion: Positive, Weather: Sunny" is generated.

[0396] Diary conversion scenario:

[0397] When a user sends specific keywords to the server, the server generates diary-style sentences based on the life log. For example, the keywords "location information" and "emotional state" generate a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good."

[0398] View / Add / Edit Scenarios:

[0399] The server generates a diary-style text and displays it to the user, who can then add or modify it. For example, the user can add details such as "I had a delicious coffee at a cafe." After editing is complete, the updated data is sent to the server and the database is updated.

[0400] Prompt Sentence Examples

[0401] "What kind of data does the device collect?"

[0402] "How does the emotion engine recognize emotions?"

[0403] "How does diary-style writing translate?"

[0404] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0405] Step 1: Data collection

[0406] input:

[0407] Users' daily activities, including walking, shopping, searching the internet, checking the weather, typing text, speaking, taking pictures, etc.

[0408] Specific behavior:

[0409] The device collects location information using a GPS sensor. It also collects health information (step count, heart rate) through a healthcare app. It also collects payment information by reading electronic money and credit card usage history. It also obtains search information from browser history and weather information via the Internet. It also collects text, voice, and image data entered by the user.

[0410] output:

[0411] Collected location information, health information, payment information, search information, weather information, text, audio, and image data.

[0412] Step 2: Sentiment data analysis

[0413] input:

[0414] Text, audio, and image data collected from your device.

[0415] Specific behavior:

[0416] The device sends the collected text data to an emotion engine, which uses natural language processing technology to analyze the text data and identify the emotional state. Similarly, it uses voice analysis technology to analyze the voice data and determine emotions from the tone and pitch of the voice. It also uses facial recognition algorithms to analyze facial expressions from image data and identify emotions.

[0417] output:

[0418] Sentiment analysis results (e.g., positive, negative, neutral).

[0419] Step 3: Send data

[0420] input:

[0421] Collected location information, health information, payment information, search information, weather information, and sentiment analysis results.

[0422] Specific behavior:

[0423] The various data collected by the device and the results of sentiment analysis are compiled into a specific format (such as JSON) and sent to the server using an HTTP POST request. If an error occurs during transmission, the request is automatically retried.

[0424] output:

[0425] The aggregate data sent to the server.

[0426] Step 4: Data reception and analysis

[0427] input:

[0428] The aggregate data sent from the device to the server.

[0429] Specific behavior:

[0430] The server receives the HTTP POST request, parses the aggregated data into individual data points (location, health, payment, search, weather, emotion), and stores these data points in a database.

[0431] output:

[0432] Data stored as individual data points.

[0433] Step 5: Lifelog generation

[0434] input:

[0435] Individual data points stored on the server.

[0436] Specific behavior:

[0437] The server automatically generates a daily life log. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data from the day to create a life log entry. This entry is stored in a database.

[0438] output:

[0439] Lifelog entries generated daily.

[0440] Step 6: Diary conversion

[0441] input:

[0442] Keywords sent by the user via the device (e.g., "location information" or "emotional state").

[0443] Specific behavior:

[0444] Based on the keywords received by the server, relevant data is extracted from the life log and converted into diary-style text using natural language generation technology.

[0445] output:

[0446] Diary-style writing (e.g., "Today I went to Shibuya Ward, Tokyo. I felt good.").

[0447] Step 7: View, add, and edit

[0448] input:

[0449] Server-generated diary-style text.

[0450] Specific behavior:

[0451] The device receives diary-style text from the server and displays it to the user. The user can then check the displayed text and add or edit it. Once editing is complete, the user sends the updated data to the server via the device.

[0452] output:

[0453] The update data sent to the server.

[0454] Step 8: Database Update

[0455] input:

[0456] Update data sent by the user.

[0457] Specific behavior:

[0458] The server receives the updated data and updates the corresponding entry in the database, and the updated lifelog is stored for future reference and further editing.

[0459] output:

[0460] Updated lifelog entry.

[0461] (Application example 2)

[0462] 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."

[0463] The problem that this invention aims to solve is to effectively record a user's daily activities and health status, analyze their emotional state, integrate them into a life log, and then make it easy to visually check, edit, and convert it into a diary format.Furthermore, it aims to improve the customer experience by proposing optimal products and services to individual customers in physical stores based on the collected information.

[0464] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for analyzing emotional states, means for aggregating each piece of information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log or diary, and means for proposing optimal products and services to customers based on the collected data. This allows users to easily record and review their actions and emotions, and makes it possible to provide personalized services to each customer.

[0465] "Location information" is information that indicates the user's current geographical location.

[0466] "Health information" is information that indicates the physical condition of the user, and includes the number of steps taken, heart rate, and the like.

[0467] "Payment information" refers to information relating to payments made by a user, including credit card and electronic money usage history.

[0468] "Search information" refers to information about the search history that a user has performed on the Internet.

[0469] "Weather information" is information that indicates the weather conditions at the user's current location or at a specific location.

[0470] "Emotional state" is information indicating the psychological state of the user, and includes emotional states analyzed from text, voice, and image data.

[0471] A "life log" is data that compiles and records information such as a user's daily activities, health status, and emotional state.

[0472] "Diary format" refers to data written in sentence format based on collected life log information.

[0473] "Server" means a device on a network that receives, processes and stores data sent by users.

[0474] "Aggregation" means combining multiple pieces of information into one.

[0475] "Transmitting" refers to the act of sending data or information to a specific recipient.

[0476] "Viewing" refers to the act of checking recorded information or data.

[0477] "Appendix" refers to adding new content to existing information or data.

[0478] "Modification" refers to changing the content of existing information or data.

[0479] "Product" refers to a tangible item provided to a user.

[0480] "Service" refers to a specific action or benefit provided to a User.

[0481] "Customer experience" refers to the overall satisfaction and impression a user has when using a product or service.

[0482] An embodiment of the present invention will be described. This embodiment is a system that records a user's daily activities, health status, and emotional state, integrates them into a life log, and then converts the life log into a diary format. The system also aims to improve customer experience by proposing optimal products and services based on the collected information.

[0483] This system mainly consists of a smartphone, a server, an emotion analysis engine, and a user.

[0484] Hardware / Software used

[0485] Smartphone: A device carried by the user that is equipped with a GPS sensor, network connectivity, healthcare apps, payment apps, voice input functionality, a camera, etc.

[0486] Server: A networked device that receives, analyzes, stores, and generates lifelogs of data. It runs on software such as Apache (registered trademark) or Flask.

[0487] Emotion Engine: An engine for analyzing a user's text, voice, and image data to identify their emotional state, using technologies such as HuggingFace and IBM Watson (registered trademark).

[0488] Data flow and analysis procedure

[0489] The user's smartphone collects location, health, payment, search, and weather information. It also collects the user's text input, voice input, and image data, and sends them to a sentiment analysis engine. The sentiment analysis engine analyzes the data and identifies the user's emotional state. This information is compiled into a specific format and sent in bulk to a server.

[0490] The server automatically generates a life log based on the received information and stores it in a database on a daily basis. When a user submits a keyword, the server converts the life log into a diary-style text. The user can then view the diary-style text using their smartphone and add or edit the content.

[0491] Furthermore, the system uses the collected data to suggest optimal products and services to individual customers in physical stores, making it possible to easily record and review user behavior and emotions, and significantly improve the customer experience in physical stores.

[0492] Specific examples

[0493] In a physical store, a user uses their smartphone to record their location, health, payment, search, weather, and other information in real time. For example, when a user is searching for a product in a store, their location information is acquired and an emotion analysis engine detects an "excited" state based on an increase in heart rate. This information is sent to a server and analyzed together with past search history, allowing optimal product suggestions and coupons to be instantly displayed on the user's smartphone.

[0494] Prompt Sentence Examples

[0495] "Design a smartphone app for a marketing campaign that automatically collects and analyzes customers' location information, health information, and emotional state in a physical store, and uses this information to make personalized product recommendations to customers. Text, voice, and image data will be used to analyze emotional state. The collected data will be sent to a server for later analysis. Please describe your specific approach and the technologies you will use."

[0496] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0497] Step 1:

[0498] The device collects location information, health information, payment information, search information, and weather information. Data from the GPS sensor, healthcare app, payment app, web browser history, and weather information service is used as input. The collected information is temporarily stored on the device. Specifically, the device periodically calls the GPS sensor to obtain the current latitude and longitude. It also obtains the number of steps and heart rate from the healthcare app and recent payment information from the payment app. It analyzes the web browser history to collect recent search keywords and obtains weather information for the current location via the Internet.

[0499] Step 2:

[0500] The device collects data for analyzing the emotional state and sends it to the emotion engine. The inputs used are the user's text input, voice input, and image data. These data are preprocessed for emotion analysis and sent to the emotion engine. Specifically, the device captures the text message entered by the user, collects voice input using the voice recording function, and obtains image data using the camera function. These obtained data are sent to the emotion engine, and the emotional state is analyzed.

[0501] Step 3:

[0502] The emotion engine analyzes the received data and identifies the user's emotional state. It uses text, voice, and image data sent from the device as input, and generates an emotional state label (e.g., "joy," "sadness," "anger," etc.) as output. Specifically, it analyzes the text data using a natural language processing model, the voice data using an acoustic analysis model, and the image data using a facial recognition model. The candidate emotional states obtained by each analysis method are integrated to identify the final emotional state.

[0503] Step 4:

[0504] The device sends all the information collected and the results of analyzing the emotional state to the server in one batch. Location information, health information, payment information, search information, weather information, and emotional data are used as input. A batched data packet is generated as output and sent to the server via an HTTP POST request. Specifically, the device compiles each piece of information into a specific format and generates a data packet. The generated data packet is then sent to the server via an HTTP POST request. A mechanism is implemented to retry if the transmission fails.

[0505] Step 5:

[0506] The server receives the data sent from the device. It uses the data packets from the device as input and stores the received data as output. Specifically, the server analyzes the received data packets and identifies each piece of information as a separate data point. It stores the identified data points in the appropriate database.

[0507] Step 6:

[0508] The server automatically generates a daily lifelog based on the data it receives. Location, health, payment, search, weather, and emotion data stored in the server are used as input, and daily lifelog entries are generated as output. Specifically, the server integrates each data point to generate daily lifelog entries. The generated lifelog entries are stored in a database for future reference and further analysis.

[0509] Step 7:

[0510] The user sends keywords to the server, which converts the life log into diary-style text. The keywords from the user are used as input, and diary-style text is generated as output. Specifically, the server analyzes the life log based on the received keywords and generates text that combines each data point. For example, if keywords such as "location information" and "emotional state" are sent, a text such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[0511] Step 8:

[0512] The terminal displays the generated diary-style text to the user, who then checks, adds to, or corrects the content. The diary text sent from the server is used as input, and added or corrected text data is generated as output. Specifically, the terminal visually displays the diary text received from the server to the user. The user adds to or corrects the displayed text, and then sends the updated data back to the server.

[0513] Step 9:

[0514] The server receives the update data and updates the corresponding entry in the database. The update data sent by the user is used as input, and the lifelog entry in the database is updated as output. Specifically, the server analyzes the received update data and identifies the corresponding lifelog entry. The server then updates the corresponding entry with any additions or modifications, and saves the updated lifelog entry in the database.

[0515] 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.

[0516] 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.

[0517] 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.

[0518] [Second embodiment]

[0519] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0520] 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.

[0521] 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).

[0522] 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.

[0523] 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.

[0524] 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).

[0525] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] In the smart glasses 214, 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.

[0530] 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."

[0531] The purpose of this invention is to provide a system that automatically records a user's daily activities and health status, and then visually checks, edits, and converts the records into a diary format. This system is mainly composed of a terminal, a server, and a user.

[0532] The system of the present invention is implemented in the following manner.

[0533] Data collection

[0534] Terminal: Data collection

[0535] The device collects the user's location, health, payment, search, and weather information. This collection can be done, for example, as follows:

[0536] Location information collection

[0537] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[0538] Collection of health information

[0539] The device uses a health care app to obtain the user's health status, such as the number of steps taken and heart rate.

[0540] Collection of payment information

[0541] The terminal obtains payment data indicating where and what the user purchased from the electronic money or credit card usage history.

[0542] Collecting search information

[0543] The device retrieves the user's web search history, which identifies keywords and websites the user has recently searched for.

[0544] Collecting weather information

[0545] Your device will retrieve weather information for your current location via the internet, including weather conditions (sunny, rainy, etc.) and temperature.

[0546] Data transmission

[0547] Terminal: Data transmission

[0548] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[0549] Lifelog generation

[0550] Server: Lifelog generation

[0551] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The server then compiles the received data into a single life log entry and stores it in a database.

[0552] Diary conversion

[0553] Server: Diary conversion

[0554] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[0555] View, add, and edit

[0556] Device: View, add, edit

[0557] Users can view the lifelogs and diaries they have created using their devices. If necessary, they can edit the content or add new information. For example, they can add, "I had a delicious coffee at the cafe."

[0558] Specific examples

[0559] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then generates the user's daily fishing log based on that information. When the user points out a specific keyword, the server generates a diary-style text corresponding to that keyword and sends it to the device. The user can then review it, add or edit it, and complete the final diary-style life log.

[0560] The system of the present invention allows users to easily review their own behavior, which is particularly useful for seniors and people with memory impairments. It will also be a useful tool for general users to improve their lives.

[0561] The processing flow will be explained below.

[0562] Step 1:

[0563] Terminal: Data collection

[0564] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[0565] Step 2:

[0566] Terminal: Data transmission

[0567] The collected data is compiled into a specific format and sent to the server in bulk. The transmission method is an HTTP POST request, and a mechanism is implemented to retry in the event of an error. The data sent includes location information, health information, payment information, search information, and weather information.

[0568] Step 3:

[0569] Server: Data reception

[0570] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information or health information, to be stored separately on the server.

[0571] Step 4:

[0572] Server: Lifelog generation

[0573] The server automatically generates a daily life log based on the data it receives. Specifically, it combines location information, health information, payment information, search information, and weather information to generate a single life log entry. This life log entry is then stored in a database.

[0574] Step 5:

[0575] Server: Diary conversion

[0576] The user sends a keyword to the server via their device. The server converts the life log into a diary-style sentence based on the received keyword. For example, if the keyword "location information" is sent, the sentence "Today I went to Shibuya Ward, Tokyo" will be generated.

[0577] Step 6:

[0578] Terminal: View Logs

[0579] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[0580] Step 7:

[0581] User:Edit Log

[0582] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0583] Step 8:

[0584] Server:Database Update

[0585] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[0586] Through the above processing steps, the system automatically collects and records information about the user's daily life, and makes it possible to display and edit it in diary format.

[0587] Example 1

[0588] 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."

[0589] In modern life, it is important to record detailed information about personal activities and health status and review it later. However, manually recording this information is extremely time-consuming and difficult to do continuously. In addition, visually organizing this information and converting it into an easy-to-understand format requires specialized knowledge, which is a burden for ordinary users. Given this background, there is a demand for a system that can automatically record and visually check a user's activities and health status.

[0590] 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.

[0591] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to an external storage device, means for automatically generating an activity record based on the information received by the external storage device, means for converting the activity record into a text format based on keywords from the user by the external storage device, and means for enabling the user to view, add to, and modify the activity record and text. This allows the user to automatically record their daily activities and health status and visually check and edit them.

[0592] "Location information" is coordinate data for indicating a specific point on the earth, and is expressed using latitude and longitude.

[0593] "Health information" is data that indicates an individual's physical condition, including the number of steps taken, heart rate, calories burned, and the like.

[0594] "Payment Information" refers to data related to transactions that occur when purchasing goods or services, and includes information about the place of purchase, the items purchased, the amount, and the means of payment.

[0595] "Search information" is data indicating the search history of a user on the Internet, including specific keywords and website visit history.

[0596] "Weather information" is data that indicates the weather conditions at a specific location, and includes temperature, precipitation, wind speed, humidity, and the like.

[0597] An "external storage device" is a system for storing and managing data, including databases such as servers and cloud storage.

[0598] "Behavior records" are data that record a user's daily activities and behavior along a timeline, and are an integration of location information, health information, payment information, search information, and weather information.

[0599] The "text format" is a format in which collected data is expressed as text in natural language, and is converted into a form that is easy for users to understand.

[0600] "User" refers to an individual who uses the system and operates the system for the purpose of recording and checking their own behavior and health status.

[0601] The present invention is a system that automatically records a user's daily activities and health status, and allows them to visually review, edit, and convert the records into a diary format. This system is mainly composed of a terminal, a server, and a user. Specific embodiments of the system are described in detail below.

[0602] Data collection

[0603] The device collects data

[0604] The device uses hardware and software such as GPS sensors and healthcare apps to collect various information about the user, including:

[0605] Location information

[0606] The device uses the built-in GPS sensor to obtain the user's latitude, longitude, and acquisition time in real time. For example, if the user is in Shibuya Ward, Tokyo, the GPS sensor will collect that information.

[0607] health information

[0608] The device uses a health care app (for example, Apple Health or GOOGLE FIT (registered trademark)) to acquire the user's number of steps, heart rate, etc. For example, data on 10,000 steps walked in a day is collected.

[0609] Payment information

[0610] The device accesses the usage history of credit cards and electronic money apps and records information about where and what the user purchased. For example, if a user purchases coffee at a convenience store, the payment information is stored on the device.

[0611] Search Information

[0612] The device retrieves the user's browser history and records their web search history. For example, if a user searches for "Shinjuku Ramen," that keyword will be saved on the device.

[0613] Weather information

[0614] The device will retrieve weather information for the current location via the internet. For example, it will retrieve information that it is sunny and 25 degrees.

[0615] Data transmission

[0616] The device sends the data to the server

[0617] The collected data is sent to the server in bulk using an HTTP POST request. The data is formatted in JSON format and error handling is implemented during transmission. For example, location information, health information, payment information, etc. are bundled into a single data packet and sent to the server.

[0618] Lifelog generation

[0619] The server generates a lifelog

[0620] The server analyzes the data received from the device and uses software (for example, a data analysis tool or life log generation software) to automatically generate a life log on a daily basis. The received data is compiled into a single life log entry and saved in a database. For example, one day's data could be saved in the form of "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Bought coffee at a convenience store."

[0621] Diary conversion

[0622] The server converts the life log into a diary format.

[0623] When a user inputs a specific keyword (e.g., "location information" or "health information"), the server converts the life log into a diary-style sentence based on that keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." A generative AI model is used for this conversion.

[0624] View, add, and edit

[0625] View, add, and edit your life log or diary on your device

[0626] Users can easily view the lifelogs and diaries they have created using their devices. They can also edit the content or add new information as needed. For example, they can add "I had a delicious coffee at a cafe" to the record for that day.

[0627] Specific examples

[0628] When a user carries a device around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, and weather information. For example, if a user leaves home at 8:00 AM, arrives in Shibuya at 10:00 AM, walks 10,000 steps after lunch, and buys coffee at a convenience store in the evening, the device also updates the weather information from time to time. This collected data is periodically sent to a server, which organizes it by day and stores it in a database.

[0629] Example prompts for generative AI models

[0630] For example, by inputting the following prompt sentence into a generative AI model, a diary-style text will be generated:

[0631] "Generate a diary-style text based on location and health information for October 1, 2023."

[0632] This system allows users to easily review their own behavior, which is particularly useful for seniors and those with memory problems, and is also a useful tool for general users to improve their lives.

[0633] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0634] Step 1:

[0635] Location information collection

[0636] The device starts processing

[0637] Input: current user location

[0638] How it works: The device activates its built-in GPS sensor and periodically obtains the user's latitude, longitude, and acquisition time.

[0639] Output: User's location data (latitude, longitude, time)

[0640] Example: Obtain the location information (latitude 35.6645 degrees, longitude 139.7034 degrees, time 14:30) of a user whose device is in Shibuya Ward, Tokyo.

[0641] Step 2:

[0642] Collection of health information

[0643] The device starts processing

[0644] Input: User's health data (step count, heart rate, etc.)

[0645] How it works: Your device uses the Health app to periodically collect your health data.

[0646] Output: User's health information data (number of steps, heart rate, etc.)

[0647] Example: A device collects data showing that it walked 10,000 steps in a day.

[0648] Step 3:

[0649] Collection of payment information

[0650] The device starts processing

[0651] Input: User's payment history

[0652] How it works: The device accesses the credit card or electronic money app to obtain the purchase location, items, and amount.

[0653] Output: User payment information data (purchase location, purchased items, amount)

[0654] Example: The device obtains information that a user purchased coffee at a convenience store.

[0655] Step 4:

[0656] Collecting search information

[0657] The device starts processing

[0658] Input: User's web search history

[0659] How it works: Your device retrieves your browser history to identify search keywords.

[0660] Output: User search information data (search keywords)

[0661] Example: The device retrieves the search history for "Shinjuku Ramen."

[0662] Step 5:

[0663] Collecting weather information

[0664] The device starts processing

[0665] Input: Current location

[0666] How it works: The device retrieves weather information for the current location via the Internet.

[0667] Output: Weather information data (temperature, weather conditions, etc.)

[0668] Example: The device retrieves weather information for Shibuya-ku, Tokyo (sunny, temperature 25 degrees).

[0669] Step 6:

[0670] Data Formatting

[0671] The device starts processing

[0672] Input: Location information, health information, payment information, search information, weather information

[0673] Operation: Formats various data collected by the device into JSON format.

[0674] Output: JSON format data

[0675] For example, format the data as follows:

[0676] json

[0677] {

[0678] "location": {"lat": 35.6645, "long": 139.7034, "timestamp": "2023-10-01T14:30:00Z"},

[0679] "health": {"steps": 10000, "heart_rate": 80},

[0680] "payment": {"store": "convenience store", "item": "coffee", "price": 100},

[0681] "search": {"keyword": "Shinjuku Ramen"},

[0682] "weather": {"condition": "sunny", "temperature": 25}

[0683] }

[0684] Step 7:

[0685] Sending data

[0686] The device starts processing

[0687] Input: JSON format data

[0688] How it works: The device sends data to the server using an HTTP POST request, including error handling.

[0689] Output: Data sent to the server

[0690] Example: The terminal sends formatted data to the server and outputs a log message stating "Data transmission completed."

[0691] Step 8:

[0692] Generating a life log

[0693] The server starts processing

[0694] Input: Data received from the terminal

[0695] Operation: The server analyzes the received data, automatically generates a life log on a daily basis, and stores it in a database.

[0696] Output: Daily life log data

[0697] Example: The server generates an entry that reads, "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Purchased coffee at a convenience store." and saves it in the database.

[0698] Step 9:

[0699] Converting to diary format

[0700] The server starts processing

[0701] Input: User-specified keywords

[0702] How it works: The server converts the lifelog into text based on keywords. It then generates the text using a generative AI model.

[0703] Output: diary-style text

[0704] Example: When a user specifies the keyword "location information," the sentence "Today I went to Shibuya Ward, Tokyo" is generated.

[0705] Step 10:

[0706] View, add, and edit life logs and diaries

[0707] The user initiates the action

[0708] Input: diary-style writing or life log

[0709] How it works: The user uses the device to view the lifelog or diary created and edit or add new information as needed.

[0710] Output: Lifelogs and diaries that have been revised or added

[0711] Example: A user can add to their diary, "I had a nice coffee at the cafe."

[0712] (Application example 1)

[0713] 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."

[0714] Conventional lifelog systems simply record and display users' behavior and health information, and do not adequately apply the collected data to the user's real life. Furthermore, conventional systems do not take commercial use into consideration, and do not offer personalized product recommendations based on the user's lifelog. As a result, improvements in convenience and added value for users are limited.

[0715] 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.

[0716] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log and diary, and means for analyzing the life log and suggesting products in a virtual store. This enables commercial application of life log data and enables the provision of more personalized and useful services to users.

[0717] "Location information" is geographical data such as latitude and longitude that indicates the user's current location.

[0718] "Health information" is data related to the user's physical condition, and specifically includes the number of steps taken, heart rate, and the like.

[0719] "Payment information" refers to data related to products and services purchased by users, including usage history of electronic money, credit cards, etc.

[0720] "Search information" refers to data such as the user's search history and browsing history on the Internet.

[0721] "Weather information" is data indicating the weather conditions at the user's current location, including whether the weather is sunny or rainy and the temperature.

[0722] A "life log" is a collection of data that records a user's daily activities, health status, and so on.

[0723] A "virtual store" is a virtual commercial space that exists on the Internet where users can purchase goods and services online.

[0724] "Product suggestion" refers to the act of recommending individually suitable products and services based on the user's life log data.

[0725] The present invention is a system that automatically records a user's daily activities and health status, and then suggests products in a virtual store based on the records. This system is mainly composed of a terminal, a server, and a user.

[0726] Data collection

[0727] Terminal: Data collection

[0728] The device uses the GPS sensor, health app, payment app, web browser and internet to collect the following data:

[0729] Location information:

[0730] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[0731] Health information:

[0732] A healthcare app is used to obtain the user's health status, such as the number of steps taken and heart rate.

[0733] Payment Information:

[0734] Payment data showing where and what a user purchased is obtained from the usage history of electronic money and credit cards.

[0735] Search information:

[0736] Obtain the user's search history from their web browser to identify recently searched keywords and websites.

[0737] Weather information:

[0738] Weather information for the current location is obtained from the Internet and includes weather conditions (sunny, rainy, etc.) and temperature.

[0739] Data transmission

[0740] Terminal: Data transmission

[0741] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[0742] Lifelog generation

[0743] Server: Lifelog generation

[0744] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The received data is compiled into a single life log entry and stored in a database.

[0745] Diary conversion

[0746] Server: Diary conversion

[0747] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[0748] commercial use

[0749] Server: Product suggestions

[0750] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, if a user has a tendency to have a high heart rate, it will suggest products with a relaxing effect.

[0751] View, add, and edit

[0752] Device: View, add, edit

[0753] Users can view the lifelogs and diaries they have created using their devices. They can add or modify content as needed. For example, they can add a note like, "I had a delicious coffee at the cafe."

[0754] Specific examples

[0755] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then uses it to generate a diary log for the user. When the user specifies a specific keyword, the server generates a diary-style text corresponding to that keyword and further analyzes the life log data to suggest recommended products in a virtual store. For example, if a user's recent health data shows a high heart rate, the server can suggest products with a relaxing effect.

[0756] Example prompts to input to the generative AI model:

[0757] "Please recommend products based on the user's life log data. The user's heart rate has been high recently. Please suggest products that have a relaxing effect."

[0758] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0759] Step 1:

[0760] Data collection

[0761] The device collects the user's location, health, payment, search, and weather information. Specifically, it obtains latitude and longitude using a GPS sensor, measures steps and heart rate using a health app, obtains purchase history using a payment app, and obtains search history using a web browser. Weather information is obtained via the Internet. This data is packaged in an appropriate format. The input is data from various sensors and apps, and the output is an integrated field of the collected data.

[0762] Step 2:

[0763] Data transmission

[0764] The terminal sends the collected data to the server using an HTTP POST request. The properly formatted data arrives at the server after error processing. The input is the data packaged on the terminal side, and the output is the data received on the server side.

[0765] Step 3:

[0766] Lifelog generation

[0767] The server analyzes the data received from the device and automatically generates a daily lifelog. The received data is analyzed, compiled into specific lifelog entries, and stored in a database. The input is the various data sent to the server, and the output is the generated lifelog entries.

[0768] Step 4:

[0769] Diary conversion

[0770] When a user specifies a specific keyword, the server converts the life log into a diary-style sentence based on that keyword. For example, if a user specifies the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." The input is the keyword from the user, and the output is the generated diary-style sentence.

[0771] Step 5:

[0772] Product proposals

[0773] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, it suggests products with a relaxing effect to a user with a high heart rate. The input is the life log data, and the output is a list of products suggested in the virtual store.

[0774] Step 6:

[0775] View, add, and edit

[0776] Users can view the lifelogs and diaries they have created on their devices and add or modify content as needed. For example, it is possible to add a note such as "I had a delicious coffee at the cafe." The input is the lifelog or diary data that has been created, and the output is the data modified or added by the user.

[0777] 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.

[0778] This system aims to automatically record a user's daily activities and health status, recognize their emotional state, add it to a life log, visually check it, edit it, and convert it into a diary format. This system is mainly composed of a terminal, a server, an emotion engine, and a user.

[0779] The system of the present invention is implemented in the following manner.

[0780] Data collection

[0781] Terminal: Data collection

[0782] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[0783] emotion recognition

[0784] Device: Emotion data collection

[0785] The device collects the user's text input, voice input, and image data and sends them to the emotion engine.

[0786] Emotion Engine: Emotion Analysis

[0787] The emotion engine analyzes the collected data and identifies the user's emotions. For example, it uses text analysis to determine the user's emotional state from their written content, and voice analysis and facial recognition technology to recognize emotions from the user's voice and facial expressions.

[0788] Data transmission

[0789] Terminal: Data transmission

[0790] The collected data and emotion analysis results are compiled into a specific format and sent to the server in one batch. The transmission method is an HTTP POST request, with a mechanism to retry in case of an error. The data sent includes location information, health information, payment information, search information, weather information, and emotion data.

[0791] Lifelog generation

[0792] Server: Data reception

[0793] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information, health information, and emotional data, to be stored separately on the server.

[0794] Server: Lifelog generation

[0795] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data to generate a single life log entry. This life log entry is then stored in a database.

[0796] Diary conversion

[0797] Server: Diary conversion

[0798] The user sends keywords to the server via their device. The server converts the life log into diary-style text based on the received keywords. For example, if the keywords "location information" and "emotional state" are sent, a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[0799] View, add, and edit

[0800] Terminal: View Logs

[0801] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[0802] User:Edit Log

[0803] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0804] Database Update

[0805] Server:Database Update

[0806] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[0807] Specific examples

[0808] When a user carries the device around in their daily life, it automatically collects location, health, payment, search, and weather information. The emotion engine also analyzes the text, voice, and image data the user inputs through the device to recognize the user's emotional state. The collected data and the results of the emotion analysis are periodically sent to a server, which then generates a daily life log based on that data. When the user specifies keywords, the server converts the life log into diary-style text and presents it to the user. The user can review the text and add or edit the content.

[0809] The system of the present invention allows users to easily record and review their own actions and emotions. This is particularly useful for seniors and people with memory impairments. It can also be a useful tool for general users to improve their lives.

[0810] The processing flow will be explained below.

[0811] Step 1:

[0812] Terminal: Data collection

[0813] The device collects the user's location, health, payment, search, and weather information. Specifically, the device uses a GPS sensor to determine latitude and longitude, and obtains step counts and heart rate data from a health app. It also collects payment information from electronic money and credit card usage history and obtains search queries from browser history. It also obtains weather information for the user's current location via the Internet.

[0814] Step 2:

[0815] Device: Emotion data collection

[0816] The device collects the user's text input (messages and diary entries), voice input (speech and voice memos), and image data (photos and facial expressions), and sends this data to the emotion engine.

[0817] Step 3:

[0818] Emotion Engine: Emotion Analysis

[0819] The emotion engine analyzes the received text, audio, and image data to identify the user's emotions. Text analysis extracts emotions from keywords and context, audio analysis analyzes the tone and tempo of sounds, and image analysis recognizes facial expressions in images to assess the user's emotional state.

[0820] Step 4:

[0821] Terminal: Data transmission

[0822] The collected data (location information, health information, payment information, search information, weather information) and the emotion analysis results are sent to the server in one batch. The sending method is an HTTP POST request, and includes a process to retry data transmission if it fails.

[0823] Step 5:

[0824] Server: Data reception

[0825] The server receives the data sent from the device, analyzes and organizes each data point, and categorizes the received data into location information, health information, payment information, search information, weather information, and emotion data.

[0826] Step 6:

[0827] Server: Lifelog generation

[0828] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates various data and creates life log entries for each date and time. The created entries are saved in a database.

[0829] Step 7:

[0830] Server: Diary conversion

[0831] The user sends keywords to the server via their device. For example, if they input "location information" and "emotional state," the server generates a diary entry such as "Today I went to Shibuya Ward, Tokyo. I felt good" based on the corresponding life log entry.

[0832] Step 8:

[0833] Terminal: View Logs

[0834] The server sends the diary-style text it has created to the terminal. The terminal displays the received diary-style text to the user. The display format is arranged to make it easy for the user to see and check.

[0835] Step 9:

[0836] User:Edit Log

[0837] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[0838] Step 10:

[0839] Server:Database Update

[0840] The server receives the updates sent by the user and updates the corresponding entries in the database, so that the updated lifelog is stored for future reference and further editing.

[0841] Through the above processing steps, the system automatically collects and records information about the user's daily life, recognizes their emotional state, adds it to a life log, and makes it possible to display and edit it in diary format.

[0842] Example 2

[0843] 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."

[0844] In today's busy lifestyles, it is difficult for users to centrally and automatically record their daily activities, health status, and even emotional state, and easily review them. Seniors and people with memory impairments in particular need tools that allow them to accurately retain daily memories and manage their health.

[0845] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the terminal includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for collecting user emotion data and transmitting it to an emotion engine, and means for transmitting the collected information and emotion analysis results to a server. The emotion engine includes means for analyzing the emotion data and identifying the user's emotional state, and the server includes means for automatically generating a life log based on the received information, means for converting the life log into a diary format based on keywords from the user, and means for displaying the generated life log and diary to the user and enabling them to view, add to, and edit them. This allows the user's daily activities, health status, and emotional state to be centrally and automatically recorded and easily reviewed.

[0846] A "terminal" is an electronic device that can be carried by a user and that collects and transmits data using various sensors and applications.

[0847] "Location Information" means the geographic latitude and longitude data of a Device obtained using a GPS sensor.

[0848] "Health information" refers to physiological data such as the user's steps, heart rate, and activity level collected through the device's health care app and sensors.

[0849] "Payment information" refers to data about a user's purchasing activities collected through electronic money or credit card usage history.

[0850] "Search Information" means historical data about search queries made and web pages viewed by a user through a web browser.

[0851] "Weather information" refers to data provided via the Internet about the weather at a user's current location or in a specified area.

[0852] "Emotional Data" means data about a user's emotional state that is collected through the user's text input, voice input, or image data.

[0853] An "emotion engine" is a software component that analyzes a user's emotional data and recognizes and identifies their emotional state.

[0854] A "server" is a remotely located computer system that receives and stores data sent from devices and generates life logs.

[0855] A "life log" is data that records a user's actions and status in their daily life, and includes location information, health information, payment information, search information, weather information, and emotional data.

[0856] The "diary format" is a format in which life log data is expressed as text in natural sentences, and is easy for users to intuitively understand.

[0857] This invention is a system that automatically records a user's daily activities, health status, and emotional state, and manages and displays them as a life log. The main components of the system are the terminal, server, emotion engine, and user.

[0858] Hardware and Software Configuration

[0859] Terminal

[0860] A device is an electronic device carried by a user that collects data using various sensors and applications. Specific examples include smartphones and smartwatches.

[0861] The device includes the following sensors and applications:

[0862] GPS sensor: Used to obtain location information.

[0863] Health app: Collects health information such as steps taken and heart rate.

[0864] Payment app: Obtains payment information from electronic money and credit card usage history.

[0865] Web browser: Collects search history.

[0866] Weather Information API: Obtain weather information via the Internet.

[0867] Microphone and camera: Collects audio input and image data.

[0868] server

[0869] The server is a remotely located computer system that receives, stores, and analyzes various data sent from the terminals.

[0870] The server includes the following software components:

[0871] Database system: Efficiently stores received data.

[0872] Lifelog generation algorithm: Automatically generates a lifelog on a daily basis.

[0873] Natural language generation engine: Converts life logs into diary-style text.

[0874] Emotion Engine

[0875] The emotion engine is a software component that has the function of analyzing the user's emotion data and identifying the user's emotional state.

[0876] Natural language processing techniques are used to analyze text data, and speech analysis techniques are used to analyze audio data.

[0877] Image recognition technology is used to recognize facial expressions from image data.

[0878] Usage Scenarios and Examples

[0879] Data collection scenario:

[0880] When users carry a smartphone or smartwatch around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, weather information, as well as text, voice, and image data that users input into the device.

[0881] Examples:

[0882] While the user is walking, the smartwatch measures the number of steps and heart rate, and the GPS sensor records the user's location (latitude and longitude).

[0883] When shopping at a convenience store, electronic money is used and the payment information is recorded.

[0884] They then search the internet for healthy eating tips and their history is collected.

[0885] Emotion Recognition Scenario:

[0886] If a user types into a diary app, "Today I'm tired, but it was fun," the emotion engine analyzes the text and identifies emotional states such as "tired" or "fun." Emotion recognition is also performed using voice input and image data.

[0887] Data transmission scenarios:

[0888] The collected data and sentiment analysis results are sent from the device to the server in bulk using an HTTP POST request, with retries being performed in the event of an error.

[0889] Lifelog generation scenarios:

[0890] The server analyzes the received data and automatically generates a daily life log. For example, by integrating location, health, and emotional data, an entry such as "October 15, 2023, Location: Shibuya Ward, Steps: 5,000, Emotion: Positive, Weather: Sunny" is generated.

[0891] Diary conversion scenario:

[0892] When a user sends specific keywords to the server, the server generates diary-style sentences based on the life log. For example, the keywords "location information" and "emotional state" generate a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good."

[0893] View / Add / Edit Scenarios:

[0894] The server generates a diary-style text and displays it to the user, who can then add or modify it. For example, the user can add details such as "I had a delicious coffee at a cafe." After editing is complete, the updated data is sent to the server and the database is updated.

[0895] Prompt Sentence Examples

[0896] "What kind of data does the device collect?"

[0897] "How does the emotion engine recognize emotions?"

[0898] "How does diary-style writing translate?"

[0899] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0900] Step 1: Data collection

[0901] input:

[0902] Users' daily activities, including walking, shopping, searching the internet, checking the weather, typing text, speaking, taking pictures, etc.

[0903] Specific behavior:

[0904] The device collects location information using a GPS sensor. It also collects health information (step count, heart rate) through a healthcare app. It also collects payment information by reading electronic money and credit card usage history. It also obtains search information from browser history and weather information via the Internet. It also collects text, voice, and image data entered by the user.

[0905] output:

[0906] Collected location information, health information, payment information, search information, weather information, text, audio, and image data.

[0907] Step 2: Sentiment data analysis

[0908] input:

[0909] Text, audio, and image data collected from your device.

[0910] Specific behavior:

[0911] The device sends the collected text data to an emotion engine, which uses natural language processing technology to analyze the text data and identify the emotional state. Similarly, it uses voice analysis technology to analyze the voice data and determine emotions from the tone and pitch of the voice. It also uses facial recognition algorithms to analyze facial expressions from image data and identify emotions.

[0912] output:

[0913] Sentiment analysis results (e.g., positive, negative, neutral).

[0914] Step 3: Send data

[0915] input:

[0916] Collected location information, health information, payment information, search information, weather information, and sentiment analysis results.

[0917] Specific behavior:

[0918] The various data collected by the device and the results of sentiment analysis are compiled into a specific format (such as JSON) and sent to the server using an HTTP POST request. If an error occurs during transmission, the request is automatically retried.

[0919] output:

[0920] The aggregate data sent to the server.

[0921] Step 4: Data reception and analysis

[0922] input:

[0923] The aggregate data sent from the device to the server.

[0924] Specific behavior:

[0925] The server receives the HTTP POST request, parses the aggregated data into individual data points (location, health, payment, search, weather, emotion), and stores these data points in a database.

[0926] output:

[0927] Data stored as individual data points.

[0928] Step 5: Lifelog generation

[0929] input:

[0930] Individual data points stored on the server.

[0931] Specific behavior:

[0932] The server automatically generates a daily life log. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data from the day to create a life log entry. This entry is stored in a database.

[0933] output:

[0934] Lifelog entries generated daily.

[0935] Step 6: Diary conversion

[0936] input:

[0937] Keywords sent by the user via the device (e.g., "location information" or "emotional state").

[0938] Specific behavior:

[0939] Based on the keywords received by the server, relevant data is extracted from the life log and converted into diary-style text using natural language generation technology.

[0940] output:

[0941] Diary-style writing (e.g., "Today I went to Shibuya Ward, Tokyo. I felt good.").

[0942] Step 7: View, add, and edit

[0943] input:

[0944] Server-generated diary-style text.

[0945] Specific behavior:

[0946] The device receives diary-style text from the server and displays it to the user. The user can then check the displayed text and add or edit it. Once editing is complete, the user sends the updated data to the server via the device.

[0947] output:

[0948] The update data sent to the server.

[0949] Step 8: Database Update

[0950] input:

[0951] Update data sent by the user.

[0952] Specific behavior:

[0953] The server receives the updated data and updates the corresponding entry in the database, and the updated lifelog is stored for future reference and further editing.

[0954] output:

[0955] Updated lifelog entry.

[0956] (Application example 2)

[0957] 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."

[0958] The problem that this invention aims to solve is to effectively record a user's daily activities and health status, analyze their emotional state, integrate them into a life log, and then make it easy to visually check, edit, and convert it into a diary format.Furthermore, it aims to improve the customer experience by proposing optimal products and services to individual customers in physical stores based on the collected information.

[0959] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for analyzing emotional states, means for aggregating each piece of information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log or diary, and means for proposing optimal products and services to customers based on the collected data. This allows users to easily record and review their actions and emotions, and makes it possible to provide personalized services to each customer.

[0960] "Location information" is information that indicates the user's current geographical location.

[0961] "Health information" is information that indicates the physical condition of the user, and includes the number of steps taken, heart rate, and the like.

[0962] "Payment information" refers to information relating to payments made by a user, including credit card and electronic money usage history.

[0963] "Search information" refers to information about the search history that a user has performed on the Internet.

[0964] "Weather information" is information that indicates the weather conditions at the user's current location or at a specific location.

[0965] "Emotional state" is information indicating the psychological state of the user, and includes emotional states analyzed from text, voice, and image data.

[0966] A "life log" is data that compiles and records information such as a user's daily activities, health status, and emotional state.

[0967] "Diary format" refers to data written in sentence format based on collected life log information.

[0968] "Server" means a device on a network that receives, processes and stores data sent by users.

[0969] "Aggregation" means combining multiple pieces of information into one.

[0970] "Transmitting" refers to the act of sending data or information to a specific recipient.

[0971] "Viewing" refers to the act of checking recorded information or data.

[0972] "Appendix" refers to adding new content to existing information or data.

[0973] "Modification" refers to changing the content of existing information or data.

[0974] "Product" refers to a tangible item provided to a user.

[0975] "Service" refers to a specific action or benefit provided to a User.

[0976] "Customer experience" refers to the overall satisfaction and impression a user has when using a product or service.

[0977] An embodiment of the present invention will be described. This embodiment is a system that records a user's daily activities, health status, and emotional state, integrates them into a life log, and then converts the life log into a diary format. The system also aims to improve customer experience by proposing optimal products and services based on the collected information.

[0978] This system mainly consists of a smartphone, a server, an emotion analysis engine, and a user.

[0979] Hardware / Software used

[0980] Smartphone: A device carried by the user that is equipped with a GPS sensor, network connectivity, healthcare apps, payment apps, voice input functionality, a camera, etc.

[0981] Server: A networked device that receives, analyzes, stores, and generates lifelogs of data. It runs on software such as Apache or Flask.

[0982] Emotion engine: An engine that analyzes a user's text, voice, and image data to identify their emotional state, using technologies such as HuggingFace and IBM Watson.

[0983] Data flow and analysis procedure

[0984] The user's smartphone collects location, health, payment, search, and weather information. It also collects the user's text input, voice input, and image data, and sends them to a sentiment analysis engine. The sentiment analysis engine analyzes the data and identifies the user's emotional state. This information is compiled into a specific format and sent in bulk to a server.

[0985] The server automatically generates a life log based on the received information and stores it in a database on a daily basis. When a user submits a keyword, the server converts the life log into a diary-style text. The user can then view the diary-style text using their smartphone and add or edit the content.

[0986] Furthermore, the system uses the collected data to suggest optimal products and services to individual customers in physical stores, making it possible to easily record and review user behavior and emotions, and significantly improve the customer experience in physical stores.

[0987] Specific examples

[0988] In a physical store, a user uses their smartphone to record their location, health, payment, search, weather, and other information in real time. For example, when a user is searching for a product in a store, their location information is acquired and an emotion analysis engine detects an "excited" state based on an increase in heart rate. This information is sent to a server and analyzed together with past search history, allowing optimal product suggestions and coupons to be instantly displayed on the user's smartphone.

[0989] Prompt Sentence Examples

[0990] "Design a smartphone app for a marketing campaign that automatically collects and analyzes customers' location information, health information, and emotional state in a physical store, and uses this information to make personalized product recommendations to customers. Text, voice, and image data will be used to analyze emotional state. The collected data will be sent to a server for later analysis. Please describe your specific approach and the technologies you will use."

[0991] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0992] Step 1:

[0993] The device collects location information, health information, payment information, search information, and weather information. Data from the GPS sensor, healthcare app, payment app, web browser history, and weather information service is used as input. The collected information is temporarily stored on the device. Specifically, the device periodically calls the GPS sensor to obtain the current latitude and longitude. It also obtains the number of steps and heart rate from the healthcare app and recent payment information from the payment app. It analyzes the web browser history to collect recent search keywords and obtains weather information for the current location via the Internet.

[0994] Step 2:

[0995] The device collects data for analyzing the emotional state and sends it to the emotion engine. The inputs used are the user's text input, voice input, and image data. These data are preprocessed for emotion analysis and sent to the emotion engine. Specifically, the device captures the text message entered by the user, collects voice input using the voice recording function, and obtains image data using the camera function. These obtained data are sent to the emotion engine, and the emotional state is analyzed.

[0996] Step 3:

[0997] The emotion engine analyzes the received data and identifies the user's emotional state. It uses text, voice, and image data sent from the device as input, and generates an emotional state label (e.g., "joy," "sadness," "anger," etc.) as output. Specifically, it analyzes the text data using a natural language processing model, the voice data using an acoustic analysis model, and the image data using a facial recognition model. The candidate emotional states obtained by each analysis method are integrated to identify the final emotional state.

[0998] Step 4:

[0999] The device sends all the information collected and the results of analyzing the emotional state to the server in one batch. Location information, health information, payment information, search information, weather information, and emotional data are used as input. A batched data packet is generated as output and sent to the server via an HTTP POST request. Specifically, the device compiles each piece of information into a specific format and generates a data packet. The generated data packet is then sent to the server via an HTTP POST request. A mechanism is implemented to retry if the transmission fails.

[1000] Step 5:

[1001] The server receives the data sent from the device. It uses the data packets from the device as input and stores the received data as output. Specifically, the server analyzes the received data packets and identifies each piece of information as a separate data point. It stores the identified data points in the appropriate database.

[1002] Step 6:

[1003] The server automatically generates a daily lifelog based on the data it receives. Location, health, payment, search, weather, and emotion data stored in the server are used as input, and daily lifelog entries are generated as output. Specifically, the server integrates each data point to generate daily lifelog entries. The generated lifelog entries are stored in a database for future reference and further analysis.

[1004] Step 7:

[1005] The user sends keywords to the server, which converts the life log into diary-style text. The keywords from the user are used as input, and diary-style text is generated as output. Specifically, the server analyzes the life log based on the received keywords and generates text that combines each data point. For example, if keywords such as "location information" and "emotional state" are sent, a text such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[1006] Step 8:

[1007] The terminal displays the generated diary-style text to the user, who then checks, adds to, or corrects the content. The diary text sent from the server is used as input, and added or corrected text data is generated as output. Specifically, the terminal visually displays the diary text received from the server to the user. The user adds to or corrects the displayed text, and then sends the updated data back to the server.

[1008] Step 9:

[1009] The server receives the update data and updates the corresponding entry in the database. The update data sent by the user is used as input, and the lifelog entry in the database is updated as output. Specifically, the server analyzes the received update data and identifies the corresponding lifelog entry. The server then updates the corresponding entry with any additions or modifications, and saves the updated lifelog entry in the database.

[1010] 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.

[1011] 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.

[1012] 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.

[1013] [Third embodiment]

[1014] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1015] 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.

[1016] 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).

[1017] 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.

[1018] 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.

[1019] 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).

[1020] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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.

[1025] 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."

[1026] The purpose of this invention is to provide a system that automatically records a user's daily activities and health status, and then visually checks, edits, and converts the records into a diary format. This system is mainly composed of a terminal, a server, and a user.

[1027] The system of the present invention is implemented in the following manner.

[1028] Data collection

[1029] Terminal: Data collection

[1030] The device collects the user's location, health, payment, search, and weather information. This collection can be done, for example, as follows:

[1031] Location information collection

[1032] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[1033] Collection of health information

[1034] The device uses a health care app to obtain the user's health status, such as the number of steps taken and heart rate.

[1035] Collection of payment information

[1036] The terminal obtains payment data indicating where and what the user purchased from the electronic money or credit card usage history.

[1037] Collecting search information

[1038] The device retrieves the user's web search history, which identifies keywords and websites the user has recently searched for.

[1039] Collecting weather information

[1040] Your device will retrieve weather information for your current location via the internet, including weather conditions (sunny, rainy, etc.) and temperature.

[1041] Data transmission

[1042] Terminal: Data transmission

[1043] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[1044] Lifelog generation

[1045] Server: Lifelog generation

[1046] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The server then compiles the received data into a single life log entry and stores it in a database.

[1047] Diary conversion

[1048] Server: Diary conversion

[1049] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[1050] View, add, and edit

[1051] Device: View, add, edit

[1052] Users can view the lifelogs and diaries they have created using their devices. If necessary, they can edit the content or add new information. For example, they can add, "I had a delicious coffee at the cafe."

[1053] Specific examples

[1054] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then generates the user's daily fishing log based on that information. When the user points out a specific keyword, the server generates a diary-style text corresponding to that keyword and sends it to the device. The user can then review it, add or edit it, and complete the final diary-style life log.

[1055] The system of the present invention allows users to easily review their own behavior, which is particularly useful for seniors and people with memory impairments. It will also be a useful tool for general users to improve their lives.

[1056] The processing flow will be explained below.

[1057] Step 1:

[1058] Terminal: Data collection

[1059] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[1060] Step 2:

[1061] Terminal: Data transmission

[1062] The collected data is compiled into a specific format and sent to the server in bulk. The transmission method is an HTTP POST request, and a mechanism is implemented to retry in the event of an error. The data sent includes location information, health information, payment information, search information, and weather information.

[1063] Step 3:

[1064] Server: Data reception

[1065] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information or health information, to be stored separately on the server.

[1066] Step 4:

[1067] Server: Lifelog generation

[1068] The server automatically generates a daily life log based on the data it receives. Specifically, it combines location information, health information, payment information, search information, and weather information to generate a single life log entry. This life log entry is then stored in a database.

[1069] Step 5:

[1070] Server: Diary conversion

[1071] The user sends a keyword to the server via their device. The server converts the life log into a diary-style sentence based on the received keyword. For example, if the keyword "location information" is sent, the sentence "Today I went to Shibuya Ward, Tokyo" will be generated.

[1072] Step 6:

[1073] Terminal: View Logs

[1074] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[1075] Step 7:

[1076] User:Edit Log

[1077] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1078] Step 8:

[1079] Server:Database Update

[1080] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[1081] Through the above processing steps, the system automatically collects and records information about the user's daily life, and makes it possible to display and edit it in diary format.

[1082] Example 1

[1083] 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."

[1084] In modern life, it is important to record detailed information about personal activities and health status and review it later. However, manually recording this information is extremely time-consuming and difficult to do continuously. In addition, visually organizing this information and converting it into an easy-to-understand format requires specialized knowledge, which is a burden for ordinary users. Given this background, there is a demand for a system that can automatically record and visually check a user's activities and health status.

[1085] 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.

[1086] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to an external storage device, means for automatically generating an activity record based on the information received by the external storage device, means for converting the activity record into a text format based on keywords from the user by the external storage device, and means for enabling the user to view, add to, and modify the activity record and text. This allows the user to automatically record their daily activities and health status and visually check and edit them.

[1087] "Location information" is coordinate data for indicating a specific point on the earth, and is expressed using latitude and longitude.

[1088] "Health information" is data that indicates an individual's physical condition, including the number of steps taken, heart rate, calories burned, and the like.

[1089] "Payment Information" refers to data related to transactions that occur when purchasing goods or services, and includes information about the place of purchase, the items purchased, the amount, and the means of payment.

[1090] "Search information" is data indicating the search history of a user on the Internet, including specific keywords and website visit history.

[1091] "Weather information" is data that indicates the weather conditions at a specific location, and includes temperature, precipitation, wind speed, humidity, and the like.

[1092] An "external storage device" is a system for storing and managing data, including databases such as servers and cloud storage.

[1093] "Behavior records" are data that record a user's daily activities and behavior along a timeline, and are an integration of location information, health information, payment information, search information, and weather information.

[1094] The "text format" is a format in which collected data is expressed as text in natural language, and is converted into a form that is easy for users to understand.

[1095] "User" refers to an individual who uses the system and operates the system for the purpose of recording and checking their own behavior and health status.

[1096] The present invention is a system that automatically records a user's daily activities and health status, and allows them to visually review, edit, and convert the records into a diary format. This system is mainly composed of a terminal, a server, and a user. Specific embodiments of the system are described in detail below.

[1097] Data collection

[1098] The device collects data

[1099] The device uses hardware and software such as GPS sensors and healthcare apps to collect various information about the user, including:

[1100] Location information

[1101] The device uses the built-in GPS sensor to obtain the user's latitude, longitude, and acquisition time in real time. For example, if the user is in Shibuya Ward, Tokyo, the GPS sensor will collect that information.

[1102] health information

[1103] The device uses a health care app (for example, Apple Health or Google (registered trademark) Fit) to acquire the user's number of steps, heart rate, etc. For example, data on 10,000 steps walked in a day is collected.

[1104] Payment information

[1105] The device accesses the usage history of credit cards and electronic money apps and records information about where and what the user purchased. For example, if a user purchases coffee at a convenience store, the payment information is stored on the device.

[1106] Search Information

[1107] The device retrieves the user's browser history and records their web search history. For example, if a user searches for "Shinjuku Ramen," that keyword will be saved on the device.

[1108] Weather information

[1109] The device will retrieve weather information for the current location via the internet. For example, it will retrieve information that it is sunny and 25 degrees.

[1110] Data transmission

[1111] The device sends the data to the server

[1112] The collected data is sent to the server in bulk using an HTTP POST request. The data is formatted in JSON format and error handling is implemented during transmission. For example, location information, health information, payment information, etc. are bundled into a single data packet and sent to the server.

[1113] Lifelog generation

[1114] The server generates a lifelog

[1115] The server analyzes the data received from the device and uses software (for example, a data analysis tool or life log generation software) to automatically generate a life log on a daily basis. The received data is compiled into a single life log entry and saved in a database. For example, one day's data could be saved in the form of "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Bought coffee at a convenience store."

[1116] Diary conversion

[1117] The server converts the life log into a diary format.

[1118] When a user inputs a specific keyword (e.g., "location information" or "health information"), the server converts the life log into a diary-style sentence based on that keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." A generative AI model is used for this conversion.

[1119] View, add, and edit

[1120] View, add, and edit your life log or diary on your device

[1121] Users can easily view the lifelogs and diaries they have created using their devices. They can also edit the content or add new information as needed. For example, they can add "I had a delicious coffee at a cafe" to the record for that day.

[1122] Specific examples

[1123] When a user carries a device around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, and weather information. For example, if a user leaves home at 8:00 AM, arrives in Shibuya at 10:00 AM, walks 10,000 steps after lunch, and buys coffee at a convenience store in the evening, the device also updates the weather information from time to time. This collected data is periodically sent to a server, which organizes it by day and stores it in a database.

[1124] Example prompts for generative AI models

[1125] For example, by inputting the following prompt sentence into a generative AI model, a diary-style text will be generated:

[1126] "Generate a diary-style text based on location and health information for October 1, 2023."

[1127] This system allows users to easily review their own behavior, which is particularly useful for seniors and those with memory problems, and is also a useful tool for general users to improve their lives.

[1128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1129] Step 1:

[1130] Location information collection

[1131] The device starts processing

[1132] Input: current user location

[1133] How it works: The device activates its built-in GPS sensor and periodically obtains the user's latitude, longitude, and acquisition time.

[1134] Output: User's location data (latitude, longitude, time)

[1135] Example: Obtain the location information (latitude 35.6645 degrees, longitude 139.7034 degrees, time 14:30) of a user whose device is in Shibuya Ward, Tokyo.

[1136] Step 2:

[1137] Collection of health information

[1138] The device starts processing

[1139] Input: User's health data (step count, heart rate, etc.)

[1140] How it works: Your device uses the Health app to periodically collect your health data.

[1141] Output: User's health information data (number of steps, heart rate, etc.)

[1142] Example: A device collects data showing that it walked 10,000 steps in a day.

[1143] Step 3:

[1144] Collection of payment information

[1145] The device starts processing

[1146] Input: User's payment history

[1147] How it works: The device accesses the credit card or electronic money app to obtain the purchase location, items, and amount.

[1148] Output: User payment information data (purchase location, purchased items, amount)

[1149] Example: The device obtains information that a user purchased coffee at a convenience store.

[1150] Step 4:

[1151] Collecting search information

[1152] The device starts processing

[1153] Input: User's web search history

[1154] How it works: Your device retrieves your browser history to identify search keywords.

[1155] Output: User search information data (search keywords)

[1156] Example: The device retrieves the search history for "Shinjuku Ramen."

[1157] Step 5:

[1158] Collecting weather information

[1159] The device starts processing

[1160] Input: Current location

[1161] How it works: The device retrieves weather information for the current location via the Internet.

[1162] Output: Weather information data (temperature, weather conditions, etc.)

[1163] Example: The device retrieves weather information for Shibuya-ku, Tokyo (sunny, temperature 25 degrees).

[1164] Step 6:

[1165] Data Formatting

[1166] The device starts processing

[1167] Input: Location information, health information, payment information, search information, weather information

[1168] Operation: Formats various data collected by the device into JSON format.

[1169] Output: JSON format data

[1170] For example, format the data as follows:

[1171] json

[1172] {

[1173] "location": {"lat": 35.6645, "long": 139.7034, "timestamp": "2023-10-01T14:30:00Z"},

[1174] "health": {"steps": 10000, "heart_rate": 80},

[1175] "payment": {"store": "convenience store", "item": "coffee", "price": 100},

[1176] "search": {"keyword": "Shinjuku Ramen"},

[1177] "weather": {"condition": "sunny", "temperature": 25}

[1178] }

[1179] Step 7:

[1180] Sending data

[1181] The device starts processing

[1182] Input: JSON format data

[1183] How it works: The device sends data to the server using an HTTP POST request, including error handling.

[1184] Output: Data sent to the server

[1185] Example: The terminal sends formatted data to the server and outputs a log message stating "Data transmission completed."

[1186] Step 8:

[1187] Generating a life log

[1188] The server starts processing

[1189] Input: Data received from the terminal

[1190] Operation: The server analyzes the received data, automatically generates a life log on a daily basis, and stores it in a database.

[1191] Output: Daily life log data

[1192] Example: The server generates an entry that reads, "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Purchased coffee at a convenience store." and saves it in the database.

[1193] Step 9:

[1194] Converting to diary format

[1195] The server starts processing

[1196] Input: User-specified keywords

[1197] How it works: The server converts the lifelog into text based on keywords. It then generates the text using a generative AI model.

[1198] Output: diary-style text

[1199] Example: When a user specifies the keyword "location information," the sentence "Today I went to Shibuya Ward, Tokyo" is generated.

[1200] Step 10:

[1201] View, add, and edit life logs and diaries

[1202] The user initiates the action

[1203] Input: diary-style writing or life log

[1204] How it works: The user uses the device to view the lifelog or diary created and edit or add new information as needed.

[1205] Output: Lifelogs and diaries that have been revised or added

[1206] Example: A user can add to their diary, "I had a nice coffee at the cafe."

[1207] (Application example 1)

[1208] 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."

[1209] Conventional lifelog systems simply record and display users' behavior and health information, and do not adequately apply the collected data to the user's real life. Furthermore, conventional systems do not take commercial use into consideration, and do not offer personalized product recommendations based on the user's lifelog. As a result, improvements in convenience and added value for users are limited.

[1210] 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.

[1211] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log and diary, and means for analyzing the life log and suggesting products in a virtual store. This enables commercial application of life log data and enables the provision of more personalized and useful services to users.

[1212] "Location information" is geographical data such as latitude and longitude that indicates the user's current location.

[1213] "Health information" is data related to the user's physical condition, and specifically includes the number of steps taken, heart rate, and the like.

[1214] "Payment information" refers to data related to products and services purchased by users, including usage history of electronic money, credit cards, etc.

[1215] "Search information" refers to data such as the user's search history and browsing history on the Internet.

[1216] "Weather information" is data indicating the weather conditions at the user's current location, including whether the weather is sunny or rainy and the temperature.

[1217] A "life log" is a collection of data that records a user's daily activities, health status, and so on.

[1218] A "virtual store" is a virtual commercial space that exists on the Internet where users can purchase goods and services online.

[1219] "Product suggestion" refers to the act of recommending individually suitable products and services based on the user's life log data.

[1220] The present invention is a system that automatically records a user's daily activities and health status, and then suggests products in a virtual store based on the records. This system is mainly composed of a terminal, a server, and a user.

[1221] Data collection

[1222] Terminal: Data collection

[1223] The device uses the GPS sensor, health app, payment app, web browser and internet to collect the following data:

[1224] Location information:

[1225] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[1226] Health information:

[1227] A healthcare app is used to obtain the user's health status, such as the number of steps taken and heart rate.

[1228] Payment Information:

[1229] Payment data showing where and what a user purchased is obtained from the usage history of electronic money and credit cards.

[1230] Search information:

[1231] Obtain the user's search history from their web browser to identify recently searched keywords and websites.

[1232] Weather information:

[1233] Weather information for the current location is obtained from the Internet and includes weather conditions (sunny, rainy, etc.) and temperature.

[1234] Data transmission

[1235] Terminal: Data transmission

[1236] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[1237] Lifelog generation

[1238] Server: Lifelog generation

[1239] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The received data is compiled into a single life log entry and stored in a database.

[1240] Diary conversion

[1241] Server: Diary conversion

[1242] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[1243] commercial use

[1244] Server: Product suggestions

[1245] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, if a user has a tendency to have a high heart rate, it will suggest products with a relaxing effect.

[1246] View, add, and edit

[1247] Device: View, add, edit

[1248] Users can view the lifelogs and diaries they have created using their devices. They can add or modify content as needed. For example, they can add a note like, "I had a delicious coffee at the cafe."

[1249] Specific examples

[1250] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then uses it to generate a diary log for the user. When the user specifies a specific keyword, the server generates a diary-style text corresponding to that keyword and further analyzes the life log data to suggest recommended products in a virtual store. For example, if a user's recent health data shows a high heart rate, the server can suggest products with a relaxing effect.

[1251] Example prompts to input to the generative AI model:

[1252] "Please recommend products based on the user's life log data. The user's heart rate has been high recently. Please suggest products that have a relaxing effect."

[1253] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1254] Step 1:

[1255] Data collection

[1256] The device collects the user's location, health, payment, search, and weather information. Specifically, it obtains latitude and longitude using a GPS sensor, measures steps and heart rate using a health app, obtains purchase history using a payment app, and obtains search history using a web browser. Weather information is obtained via the Internet. This data is packaged in an appropriate format. The input is data from various sensors and apps, and the output is an integrated field of the collected data.

[1257] Step 2:

[1258] Data transmission

[1259] The terminal sends the collected data to the server using an HTTP POST request. The properly formatted data arrives at the server after error processing. The input is the data packaged on the terminal side, and the output is the data received on the server side.

[1260] Step 3:

[1261] Lifelog generation

[1262] The server analyzes the data received from the device and automatically generates a daily lifelog. The received data is analyzed, compiled into specific lifelog entries, and stored in a database. The input is the various data sent to the server, and the output is the generated lifelog entries.

[1263] Step 4:

[1264] Diary conversion

[1265] When a user specifies a specific keyword, the server converts the life log into a diary-style sentence based on that keyword. For example, if a user specifies the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." The input is the keyword from the user, and the output is the generated diary-style sentence.

[1266] Step 5:

[1267] Product proposals

[1268] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, it suggests products with a relaxing effect to a user with a high heart rate. The input is the life log data, and the output is a list of products suggested in the virtual store.

[1269] Step 6:

[1270] View, add, and edit

[1271] Users can view the lifelogs and diaries they have created on their devices and add or modify content as needed. For example, it is possible to add a note such as "I had a delicious coffee at the cafe." The input is the lifelog or diary data that has been created, and the output is the data modified or added by the user.

[1272] 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.

[1273] This system aims to automatically record a user's daily activities and health status, recognize their emotional state, add it to a life log, visually check it, edit it, and convert it into a diary format. This system is mainly composed of a terminal, a server, an emotion engine, and a user.

[1274] The system of the present invention is implemented in the following manner.

[1275] Data collection

[1276] Terminal: Data collection

[1277] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[1278] emotion recognition

[1279] Device: Emotion data collection

[1280] The device collects the user's text input, voice input, and image data and sends them to the emotion engine.

[1281] Emotion Engine: Emotion Analysis

[1282] The emotion engine analyzes the collected data and identifies the user's emotions. For example, it uses text analysis to determine the user's emotional state from their written content, and voice analysis and facial recognition technology to recognize emotions from the user's voice and facial expressions.

[1283] Data transmission

[1284] Terminal: Data transmission

[1285] The collected data and emotion analysis results are compiled into a specific format and sent to the server in one batch. The transmission method is an HTTP POST request, with a mechanism to retry in case of an error. The data sent includes location information, health information, payment information, search information, weather information, and emotion data.

[1286] Lifelog generation

[1287] Server: Data reception

[1288] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information, health information, and emotional data, to be stored separately on the server.

[1289] Server: Lifelog generation

[1290] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data to generate a single life log entry. This life log entry is then stored in a database.

[1291] Diary conversion

[1292] Server: Diary conversion

[1293] The user sends keywords to the server via their device. The server converts the life log into diary-style text based on the received keywords. For example, if the keywords "location information" and "emotional state" are sent, a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[1294] View, add, and edit

[1295] Terminal: View Logs

[1296] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[1297] User:Edit Log

[1298] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1299] Database Update

[1300] Server:Database Update

[1301] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[1302] Specific examples

[1303] When a user carries the device around in their daily life, it automatically collects location, health, payment, search, and weather information. The emotion engine also analyzes the text, voice, and image data the user inputs through the device to recognize the user's emotional state. The collected data and the results of the emotion analysis are periodically sent to a server, which then generates a daily life log based on that data. When the user specifies keywords, the server converts the life log into diary-style text and presents it to the user. The user can review the text and add or edit the content.

[1304] The system of the present invention allows users to easily record and review their own actions and emotions. This is particularly useful for seniors and people with memory impairments. It can also be a useful tool for general users to improve their lives.

[1305] The processing flow will be explained below.

[1306] Step 1:

[1307] Terminal: Data collection

[1308] The device collects the user's location, health, payment, search, and weather information. Specifically, the device uses a GPS sensor to determine latitude and longitude, and obtains step counts and heart rate data from a health app. It also collects payment information from electronic money and credit card usage history and obtains search queries from browser history. It also obtains weather information for the user's current location via the Internet.

[1309] Step 2:

[1310] Device: Emotion data collection

[1311] The device collects the user's text input (messages and diary entries), voice input (speech and voice memos), and image data (photos and facial expressions), and sends this data to the emotion engine.

[1312] Step 3:

[1313] Emotion Engine: Emotion Analysis

[1314] The emotion engine analyzes the received text, audio, and image data to identify the user's emotions. Text analysis extracts emotions from keywords and context, audio analysis analyzes the tone and tempo of sounds, and image analysis recognizes facial expressions in images to assess the user's emotional state.

[1315] Step 4:

[1316] Terminal: Data transmission

[1317] The collected data (location information, health information, payment information, search information, weather information) and the emotion analysis results are sent to the server in one batch. The sending method is an HTTP POST request, and includes a process to retry data transmission if it fails.

[1318] Step 5:

[1319] Server: Data reception

[1320] The server receives the data sent from the device, analyzes and organizes each data point, and categorizes the received data into location information, health information, payment information, search information, weather information, and emotion data.

[1321] Step 6:

[1322] Server: Lifelog generation

[1323] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates various data and creates life log entries for each date and time. The created entries are saved in a database.

[1324] Step 7:

[1325] Server: Diary conversion

[1326] The user sends keywords to the server via their device. For example, if they input "location information" and "emotional state," the server generates a diary entry such as "Today I went to Shibuya Ward, Tokyo. I felt good" based on the corresponding life log entry.

[1327] Step 8:

[1328] Terminal: View Logs

[1329] The server sends the diary-style text it has created to the terminal. The terminal displays the received diary-style text to the user. The display format is arranged to make it easy for the user to see and check.

[1330] Step 9:

[1331] User:Edit Log

[1332] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1333] Step 10:

[1334] Server:Database Update

[1335] The server receives the updates sent by the user and updates the corresponding entries in the database, so that the updated lifelog is stored for future reference and further editing.

[1336] Through the above processing steps, the system automatically collects and records information about the user's daily life, recognizes their emotional state, adds it to a life log, and makes it possible to display and edit it in diary format.

[1337] Example 2

[1338] 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."

[1339] In today's busy lifestyles, it is difficult for users to centrally and automatically record their daily activities, health status, and even emotional state, and easily review them. Seniors and people with memory impairments in particular need tools that allow them to accurately retain daily memories and manage their health.

[1340] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the terminal includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for collecting user emotion data and transmitting it to an emotion engine, and means for transmitting the collected information and emotion analysis results to a server. The emotion engine includes means for analyzing the emotion data and identifying the user's emotional state, and the server includes means for automatically generating a life log based on the received information, means for converting the life log into a diary format based on keywords from the user, and means for displaying the generated life log and diary to the user and enabling them to view, add to, and edit them. This allows the user's daily activities, health status, and emotional state to be centrally and automatically recorded and easily reviewed.

[1341] A "terminal" is an electronic device that can be carried by a user and that collects and transmits data using various sensors and applications.

[1342] "Location Information" means the geographic latitude and longitude data of a Device obtained using a GPS sensor.

[1343] "Health information" refers to physiological data such as the user's steps, heart rate, and activity level collected through the device's health care app and sensors.

[1344] "Payment information" refers to data about a user's purchasing activities collected through electronic money or credit card usage history.

[1345] "Search Information" means historical data about search queries made and web pages viewed by a user through a web browser.

[1346] "Weather information" refers to data provided via the Internet about the weather at a user's current location or in a specified area.

[1347] "Emotional Data" means data about a user's emotional state that is collected through the user's text input, voice input, or image data.

[1348] An "emotion engine" is a software component that analyzes a user's emotional data and recognizes and identifies their emotional state.

[1349] A "server" is a remotely located computer system that receives and stores data sent from devices and generates life logs.

[1350] A "life log" is data that records a user's actions and status in their daily life, and includes location information, health information, payment information, search information, weather information, and emotional data.

[1351] The "diary format" is a format in which life log data is expressed as text in natural sentences, and is easy for users to intuitively understand.

[1352] This invention is a system that automatically records a user's daily activities, health status, and emotional state, and manages and displays them as a life log. The main components of the system are the terminal, server, emotion engine, and user.

[1353] Hardware and Software Configuration

[1354] Terminal

[1355] A device is an electronic device carried by a user that collects data using various sensors and applications. Specific examples include smartphones and smartwatches.

[1356] The device includes the following sensors and applications:

[1357] GPS sensor: Used to obtain location information.

[1358] Health app: Collects health information such as steps taken and heart rate.

[1359] Payment app: Obtains payment information from electronic money and credit card usage history.

[1360] Web browser: Collects search history.

[1361] Weather Information API: Obtain weather information via the Internet.

[1362] Microphone and camera: Collects audio input and image data.

[1363] server

[1364] The server is a remotely located computer system that receives, stores, and analyzes various data sent from the terminals.

[1365] The server includes the following software components:

[1366] Database system: Efficiently stores received data.

[1367] Lifelog generation algorithm: Automatically generates a lifelog on a daily basis.

[1368] Natural language generation engine: Converts life logs into diary-style text.

[1369] Emotion Engine

[1370] The emotion engine is a software component that has the function of analyzing the user's emotion data and identifying the user's emotional state.

[1371] Natural language processing techniques are used to analyze text data, and speech analysis techniques are used to analyze audio data.

[1372] Image recognition technology is used to recognize facial expressions from image data.

[1373] Usage Scenarios and Examples

[1374] Data collection scenario:

[1375] When users carry a smartphone or smartwatch around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, weather information, as well as text, voice, and image data that users input into the device.

[1376] Examples:

[1377] While the user is walking, the smartwatch measures the number of steps and heart rate, and the GPS sensor records the user's location (latitude and longitude).

[1378] When shopping at a convenience store, electronic money is used and the payment information is recorded.

[1379] They then search the internet for healthy eating tips and their history is collected.

[1380] Emotion Recognition Scenario:

[1381] If a user types into a diary app, "Today I'm tired, but it was fun," the emotion engine analyzes the text and identifies emotional states such as "tired" or "fun." Emotion recognition is also performed using voice input and image data.

[1382] Data transmission scenarios:

[1383] The collected data and sentiment analysis results are sent from the device to the server in bulk using an HTTP POST request, with retries being performed in the event of an error.

[1384] Lifelog generation scenarios:

[1385] The server analyzes the received data and automatically generates a daily life log. For example, by integrating location, health, and emotional data, an entry such as "October 15, 2023, Location: Shibuya Ward, Steps: 5,000, Emotion: Positive, Weather: Sunny" is generated.

[1386] Diary conversion scenario:

[1387] When a user sends specific keywords to the server, the server generates diary-style sentences based on the life log. For example, the keywords "location information" and "emotional state" generate a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good."

[1388] View / Add / Edit Scenarios:

[1389] The server generates a diary-style text and displays it to the user, who can then add or modify it. For example, the user can add details such as "I had a delicious coffee at a cafe." After editing is complete, the updated data is sent to the server and the database is updated.

[1390] Prompt Sentence Examples

[1391] "What kind of data does the device collect?"

[1392] "How does the emotion engine recognize emotions?"

[1393] "How does diary-style writing translate?"

[1394] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1395] Step 1: Data collection

[1396] input:

[1397] Users' daily activities, including walking, shopping, searching the internet, checking the weather, typing text, speaking, taking pictures, etc.

[1398] Specific behavior:

[1399] The device collects location information using a GPS sensor. It also collects health information (step count, heart rate) through a healthcare app. It also collects payment information by reading electronic money and credit card usage history. It also obtains search information from browser history and weather information via the Internet. It also collects text, voice, and image data entered by the user.

[1400] output:

[1401] Collected location information, health information, payment information, search information, weather information, text, audio, and image data.

[1402] Step 2: Sentiment data analysis

[1403] input:

[1404] Text, audio, and image data collected from your device.

[1405] Specific behavior:

[1406] The device sends the collected text data to an emotion engine, which uses natural language processing technology to analyze the text data and identify the emotional state. Similarly, it uses voice analysis technology to analyze the voice data and determine emotions from the tone and pitch of the voice. It also uses facial recognition algorithms to analyze facial expressions from image data and identify emotions.

[1407] output:

[1408] Sentiment analysis results (e.g., positive, negative, neutral).

[1409] Step 3: Send data

[1410] input:

[1411] Collected location information, health information, payment information, search information, weather information, and sentiment analysis results.

[1412] Specific behavior:

[1413] The various data collected by the device and the results of sentiment analysis are compiled into a specific format (such as JSON) and sent to the server using an HTTP POST request. If an error occurs during transmission, the request is automatically retried.

[1414] output:

[1415] The aggregate data sent to the server.

[1416] Step 4: Data reception and analysis

[1417] input:

[1418] The aggregate data sent from the device to the server.

[1419] Specific behavior:

[1420] The server receives the HTTP POST request, parses the aggregated data into individual data points (location, health, payment, search, weather, emotion), and stores these data points in a database.

[1421] output:

[1422] Data stored as individual data points.

[1423] Step 5: Lifelog generation

[1424] input:

[1425] Individual data points stored on the server.

[1426] Specific behavior:

[1427] The server automatically generates a daily life log. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data from the day to create a life log entry. This entry is stored in a database.

[1428] output:

[1429] Lifelog entries generated daily.

[1430] Step 6: Diary conversion

[1431] input:

[1432] Keywords sent by the user via the device (e.g., "location information" or "emotional state").

[1433] Specific behavior:

[1434] Based on the keywords received by the server, relevant data is extracted from the life log and converted into diary-style text using natural language generation technology.

[1435] output:

[1436] Diary-style writing (e.g., "Today I went to Shibuya Ward, Tokyo. I felt good.").

[1437] Step 7: View, add, and edit

[1438] input:

[1439] A diary-style text generated by the server.

[1440] Specific behavior:

[1441] The device receives diary-style text from the server and displays it to the user. The user can then check the displayed text and add or edit it. Once editing is complete, the user sends the updated data to the server via the device.

[1442] output:

[1443] The update data sent to the server.

[1444] Step 8: Database Update

[1445] input:

[1446] Update data sent by the user.

[1447] Specific behavior:

[1448] The server receives the updated data and updates the corresponding entry in the database, and the updated lifelog is stored for future reference and further editing.

[1449] output:

[1450] Updated lifelog entry.

[1451] (Application example 2)

[1452] 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."

[1453] The problem that this invention aims to solve is to effectively record a user's daily activities and health status, analyze their emotional state, integrate them into a life log, and then make it easy to visually check, edit, and convert it into a diary format.Furthermore, it aims to improve the customer experience by proposing optimal products and services to individual customers in physical stores based on the collected information.

[1454] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for analyzing emotional states, means for aggregating each piece of information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log or diary, and means for proposing optimal products and services to customers based on the collected data. This allows users to easily record and review their actions and emotions, and makes it possible to provide personalized services to each customer.

[1455] "Location information" is information that indicates the user's current geographical location.

[1456] "Health information" is information that indicates the physical condition of the user, and includes the number of steps taken, heart rate, and the like.

[1457] "Payment information" refers to information relating to payments made by a user, including credit card and electronic money usage history.

[1458] "Search information" refers to information about the search history that a user has performed on the Internet.

[1459] "Weather information" is information that indicates the weather conditions at the user's current location or at a specific location.

[1460] "Emotional state" is information indicating the psychological state of the user, and includes emotional states analyzed from text, voice, and image data.

[1461] A "life log" is data that compiles and records information such as a user's daily activities, health status, and emotional state.

[1462] "Diary format" refers to data written in sentence format based on collected life log information.

[1463] "Server" means a device on a network that receives, processes and stores data sent by users.

[1464] "Aggregation" means combining multiple pieces of information into one.

[1465] "Transmitting" refers to the act of sending data or information to a specific recipient.

[1466] "Viewing" refers to the act of checking recorded information or data.

[1467] "Appendix" refers to adding new content to existing information or data.

[1468] "Modification" refers to changing the content of existing information or data.

[1469] "Product" refers to a tangible item provided to a user.

[1470] "Service" refers to a specific action or benefit provided to a User.

[1471] "Customer experience" refers to the overall satisfaction and impression a user has when using a product or service.

[1472] An embodiment of the present invention will be described. This embodiment is a system that records a user's daily activities, health status, and emotional state, integrates them into a life log, and then converts the life log into a diary format. The system also aims to improve customer experience by proposing optimal products and services based on the collected information.

[1473] This system mainly consists of a smartphone, a server, an emotion analysis engine, and a user.

[1474] Hardware / Software used

[1475] Smartphone: A device carried by the user that is equipped with a GPS sensor, network connectivity, healthcare apps, payment apps, voice input functionality, a camera, etc.

[1476] Server: A networked device that receives, analyzes, stores, and generates lifelogs of data. It runs on software such as Apache or Flask.

[1477] Emotion engine: An engine that analyzes a user's text, voice, and image data to identify their emotional state, using technologies such as HuggingFace and IBM Watson.

[1478] Data flow and analysis procedure

[1479] The user's smartphone collects location, health, payment, search, and weather information. It also collects the user's text input, voice input, and image data, and sends them to a sentiment analysis engine. The sentiment analysis engine analyzes the data and identifies the user's emotional state. This information is compiled into a specific format and sent in bulk to a server.

[1480] The server automatically generates a life log based on the received information and stores it in a database on a daily basis. When a user submits a keyword, the server converts the life log into a diary-style text. The user can then view the diary-style text using their smartphone and add or edit the content.

[1481] Furthermore, the system uses the collected data to suggest optimal products and services to individual customers in physical stores, making it possible to easily record and review user behavior and emotions, and significantly improve the customer experience in physical stores.

[1482] Specific examples

[1483] In a physical store, a user uses their smartphone to record their location, health, payment, search, weather, and other information in real time. For example, when a user is searching for a product in a store, their location information is acquired and an emotion analysis engine detects an "excited" state based on an increase in heart rate. This information is sent to a server and analyzed together with past search history, allowing optimal product suggestions and coupons to be instantly displayed on the user's smartphone.

[1484] Prompt Sentence Examples

[1485] "Design a smartphone app for a marketing campaign that automatically collects and analyzes customers' location information, health information, and emotional state in a physical store, and uses this information to make personalized product recommendations to customers. Text, voice, and image data will be used to analyze emotional state. The collected data will be sent to a server for later analysis. Please describe your specific approach and the technologies you will use."

[1486] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1487] Step 1:

[1488] The device collects location information, health information, payment information, search information, and weather information. Data from the GPS sensor, healthcare app, payment app, web browser history, and weather information service is used as input. The collected information is temporarily stored on the device. Specifically, the device periodically calls the GPS sensor to obtain the current latitude and longitude. It also obtains the number of steps and heart rate from the healthcare app and recent payment information from the payment app. It analyzes the web browser history to collect recent search keywords and obtains weather information for the current location via the Internet.

[1489] Step 2:

[1490] The device collects data for analyzing the emotional state and sends it to the emotion engine. The inputs used are the user's text input, voice input, and image data. These data are preprocessed for emotion analysis and sent to the emotion engine. Specifically, the device captures the text message entered by the user, collects voice input using the voice recording function, and obtains image data using the camera function. These obtained data are sent to the emotion engine, and the emotional state is analyzed.

[1491] Step 3:

[1492] The emotion engine analyzes the received data and identifies the user's emotional state. It uses text, voice, and image data sent from the device as input, and generates an emotional state label (e.g., "joy," "sadness," "anger," etc.) as output. Specifically, it analyzes the text data using a natural language processing model, the voice data using an acoustic analysis model, and the image data using a facial recognition model. The candidate emotional states obtained by each analysis method are integrated to identify the final emotional state.

[1493] Step 4:

[1494] The device sends all the information collected and the results of analyzing the emotional state to the server in one batch. Location information, health information, payment information, search information, weather information, and emotional data are used as input. A batched data packet is generated as output and sent to the server via an HTTP POST request. Specifically, the device compiles each piece of information into a specific format and generates a data packet. The generated data packet is then sent to the server via an HTTP POST request. A mechanism is implemented to retry if the transmission fails.

[1495] Step 5:

[1496] The server receives the data sent from the device. It uses the data packets from the device as input and stores the received data as output. Specifically, the server analyzes the received data packets and identifies each piece of information as a separate data point. It stores the identified data points in the appropriate database.

[1497] Step 6:

[1498] The server automatically generates a daily lifelog based on the data it receives. Location, health, payment, search, weather, and emotion data stored in the server are used as input, and daily lifelog entries are generated as output. Specifically, the server integrates each data point to generate daily lifelog entries. The generated lifelog entries are stored in a database for future reference and further analysis.

[1499] Step 7:

[1500] The user sends keywords to the server, which converts the life log into diary-style text. The keywords from the user are used as input, and diary-style text is generated as output. Specifically, the server analyzes the life log based on the received keywords and generates text that combines each data point. For example, if keywords such as "location information" and "emotional state" are sent, a text such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[1501] Step 8:

[1502] The terminal displays the generated diary-style text to the user, who then checks, adds to, or corrects the content. The diary text sent from the server is used as input, and added or corrected text data is generated as output. Specifically, the terminal visually displays the diary text received from the server to the user. The user adds to or corrects the displayed text, and then sends the updated data back to the server.

[1503] Step 9:

[1504] The server receives the update data and updates the corresponding entry in the database. The update data sent by the user is used as input, and the lifelog entry in the database is updated as output. Specifically, the server analyzes the received update data and identifies the corresponding lifelog entry. The server then updates the corresponding entry with any additions or modifications, and saves the updated lifelog entry in the database.

[1505] 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.

[1506] 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.

[1507] 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.

[1508] [Fourth embodiment]

[1509] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1510] 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.

[1511] 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).

[1512] 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.

[1513] 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.

[1514] 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).

[1515] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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."

[1522] The purpose of this invention is to provide a system that automatically records a user's daily activities and health status, and then visually checks, edits, and converts the records into a diary format. This system is mainly composed of a terminal, a server, and a user.

[1523] The system of the present invention is implemented in the following manner.

[1524] Data collection

[1525] Terminal: Data collection

[1526] The device collects the user's location, health, payment, search, and weather information. This collection can be done, for example, as follows:

[1527] Location information collection

[1528] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[1529] Collection of health information

[1530] The device uses a health care app to obtain the user's health status, such as the number of steps taken and heart rate.

[1531] Collection of payment information

[1532] The terminal obtains payment data indicating where and what the user purchased from the electronic money or credit card usage history.

[1533] Collecting search information

[1534] The device retrieves the user's web search history, which identifies keywords and websites the user has recently searched for.

[1535] Collecting weather information

[1536] Your device will retrieve weather information for your current location via the internet, including weather conditions (sunny, rainy, etc.) and temperature.

[1537] Data transmission

[1538] Terminal: Data transmission

[1539] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[1540] Lifelog generation

[1541] Server: Lifelog generation

[1542] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The server then compiles the received data into a single life log entry and stores it in a database.

[1543] Diary conversion

[1544] Server: Diary conversion

[1545] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[1546] View, add, and edit

[1547] Device: View, add, edit

[1548] Users can view the lifelogs and diaries they have created using their devices. If necessary, they can edit the content or add new information. For example, they can add, "I had a delicious coffee at the cafe."

[1549] Specific examples

[1550] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then generates the user's daily fishing log based on that information. When the user points out a specific keyword, the server generates a diary-style text corresponding to that keyword and sends it to the device. The user can then review it, add or edit it, and complete the final diary-style life log.

[1551] The system of the present invention allows users to easily review their own behavior, which is particularly useful for seniors and people with memory impairments. It will also be a useful tool for general users to improve their lives.

[1552] The processing flow will be explained below.

[1553] Step 1:

[1554] Terminal: Data collection

[1555] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[1556] Step 2:

[1557] Terminal: Data transmission

[1558] The collected data is compiled into a specific format and sent to the server in bulk. The transmission method is an HTTP POST request, and a mechanism is implemented to retry in the event of an error. The data sent includes location information, health information, payment information, search information, and weather information.

[1559] Step 3:

[1560] Server: Data reception

[1561] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information or health information, to be stored separately on the server.

[1562] Step 4:

[1563] Server: Lifelog generation

[1564] The server automatically generates a daily life log based on the data it receives. Specifically, it combines location information, health information, payment information, search information, and weather information to generate a single life log entry. This life log entry is then stored in a database.

[1565] Step 5:

[1566] Server: Diary conversion

[1567] The user sends a keyword to the server via their device. The server converts the life log into a diary-style sentence based on the received keyword. For example, if the keyword "location information" is sent, the sentence "Today I went to Shibuya Ward, Tokyo" will be generated.

[1568] Step 6:

[1569] Terminal: View Logs

[1570] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[1571] Step 7:

[1572] User:Edit Log

[1573] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1574] Step 8:

[1575] Server:Database Update

[1576] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[1577] Through the above processing steps, the system automatically collects and records information about the user's daily life, and makes it possible to display and edit it in diary format.

[1578] Example 1

[1579] 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."

[1580] In modern life, it is important to record detailed information about personal activities and health status and review it later. However, manually recording this information is extremely time-consuming and difficult to do continuously. In addition, visually organizing this information and converting it into an easy-to-understand format requires specialized knowledge, which is a burden for ordinary users. Given this background, there is a demand for a system that can automatically record and visually check a user's activities and health status.

[1581] 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.

[1582] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to an external storage device, means for automatically generating an activity record based on the information received by the external storage device, means for converting the activity record into a text format based on keywords from the user by the external storage device, and means for enabling the user to view, add to, and modify the activity record and text. This allows the user to automatically record their daily activities and health status and visually check and edit them.

[1583] "Location information" is coordinate data for indicating a specific point on the earth, and is expressed using latitude and longitude.

[1584] "Health information" is data that indicates an individual's physical condition, including the number of steps taken, heart rate, calories burned, and the like.

[1585] "Payment Information" refers to data related to transactions that occur when purchasing goods or services, and includes information about the place of purchase, the items purchased, the amount, and the means of payment.

[1586] "Search information" is data indicating the search history of a user on the Internet, including specific keywords and website visit history.

[1587] "Weather information" is data that indicates the weather conditions at a specific location, and includes temperature, precipitation, wind speed, humidity, and the like.

[1588] An "external storage device" is a system for storing and managing data, including databases such as servers and cloud storage.

[1589] "Behavior records" are data that record a user's daily activities and behavior along a timeline, and are an integration of location information, health information, payment information, search information, and weather information.

[1590] The "text format" is a format in which collected data is expressed as text in natural language, and is converted into a form that is easy for users to understand.

[1591] "User" refers to an individual who uses the system and operates the system for the purpose of recording and checking their own behavior and health status.

[1592] The present invention is a system that automatically records a user's daily activities and health status, and allows them to visually review, edit, and convert the records into a diary format. This system is mainly composed of a terminal, a server, and a user. Specific embodiments of the system are described in detail below.

[1593] Data collection

[1594] The device collects data

[1595] The device uses hardware and software such as GPS sensors and healthcare apps to collect various information about the user, including:

[1596] Location information

[1597] The device uses the built-in GPS sensor to obtain the user's latitude, longitude, and acquisition time in real time. For example, if the user is in Shibuya Ward, Tokyo, the GPS sensor will collect that information.

[1598] health information

[1599] The device uses a health app (such as Apple Health or Google Fit) to obtain the user's steps, heart rate, etc. For example, data is collected on 10,000 steps walked in a day.

[1600] Payment information

[1601] The device accesses the usage history of credit cards and electronic money apps and records information about where and what the user purchased. For example, if a user purchases coffee at a convenience store, the payment information is stored on the device.

[1602] Search Information

[1603] The device retrieves the user's browser history and records their web search history. For example, if a user searches for "Shinjuku Ramen," that keyword will be saved on the device.

[1604] Weather information

[1605] The device will retrieve weather information for the current location via the internet. For example, it will retrieve information that it is sunny and 25 degrees.

[1606] Data transmission

[1607] The device sends the data to the server

[1608] The collected data is sent to the server in bulk using an HTTP POST request. The data is formatted in JSON format and error handling is implemented during transmission. For example, location information, health information, payment information, etc. are bundled into a single data packet and sent to the server.

[1609] Lifelog generation

[1610] The server generates a lifelog

[1611] The server analyzes the data received from the device and uses software (for example, a data analysis tool or life log generation software) to automatically generate a life log on a daily basis. The received data is compiled into a single life log entry and saved in a database. For example, one day's data could be saved in the form of "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Bought coffee at a convenience store."

[1612] Diary conversion

[1613] The server converts the life log into a diary format.

[1614] When a user inputs a specific keyword (e.g., "location information" or "health information"), the server converts the life log into a diary-style sentence based on that keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." A generative AI model is used for this conversion.

[1615] View, add, and edit

[1616] View, add, and edit your life log or diary on your device

[1617] Users can easily view the lifelogs and diaries they have created using their devices. They can also edit the content or add new information as needed. For example, they can add "I had a delicious coffee at a cafe" to the record for that day.

[1618] Specific examples

[1619] When a user carries a device around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, and weather information. For example, if a user leaves home at 8:00 AM, arrives in Shibuya at 10:00 AM, walks 10,000 steps after lunch, and buys coffee at a convenience store in the evening, the device also updates the weather information from time to time. This collected data is periodically sent to a server, which organizes it by day and stores it in a database.

[1620] Example prompts for generative AI models

[1621] For example, by inputting the following prompt sentence into a generative AI model, a diary-style text will be generated:

[1622] "Generate a diary-style text based on location and health information for October 1, 2023."

[1623] This system allows users to easily review their own behavior, which is particularly useful for seniors and those with memory problems, and is also a useful tool for general users to improve their lives.

[1624] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1625] Step 1:

[1626] Location information collection

[1627] The device starts processing

[1628] Input: current user location

[1629] How it works: The device activates its built-in GPS sensor and periodically obtains the user's latitude, longitude, and acquisition time.

[1630] Output: User's location data (latitude, longitude, time)

[1631] Example: Obtain the location information (latitude 35.6645 degrees, longitude 139.7034 degrees, time 14:30) of a user whose device is in Shibuya Ward, Tokyo.

[1632] Step 2:

[1633] Collection of health information

[1634] The device starts processing

[1635] Input: User's health data (step count, heart rate, etc.)

[1636] How it works: Your device uses the Health app to periodically collect your health data.

[1637] Output: User's health information data (number of steps, heart rate, etc.)

[1638] Example: A device collects data showing that it walked 10,000 steps in a day.

[1639] Step 3:

[1640] Collection of payment information

[1641] The device starts processing

[1642] Input: User's payment history

[1643] How it works: The device accesses the credit card or electronic money app to obtain the purchase location, items, and amount.

[1644] Output: User payment information data (purchase location, purchased items, amount)

[1645] Example: The device obtains information that a user purchased coffee at a convenience store.

[1646] Step 4:

[1647] Collecting search information

[1648] The device starts processing

[1649] Input: User's web search history

[1650] How it works: Your device retrieves your browser history to identify search keywords.

[1651] Output: User search information data (search keywords)

[1652] Example: The device retrieves the search history for "Shinjuku Ramen."

[1653] Step 5:

[1654] Collecting weather information

[1655] The device starts processing

[1656] Input: Current location

[1657] How it works: The device retrieves weather information for the current location via the Internet.

[1658] Output: Weather information data (temperature, weather conditions, etc.)

[1659] Example: The device retrieves weather information for Shibuya-ku, Tokyo (sunny, temperature 25 degrees).

[1660] Step 6:

[1661] Data Formatting

[1662] The device starts processing

[1663] Input: Location information, health information, payment information, search information, weather information

[1664] Operation: Formats various data collected by the device into JSON format.

[1665] Output: JSON format data

[1666] For example, format the data as follows:

[1667] json

[1668] {

[1669] "location": {"lat": 35.6645, "long": 139.7034, "timestamp": "2023-10-01T14:30:00Z"},

[1670] "health": {"steps": 10000, "heart_rate": 80},

[1671] "payment": {"store": "convenience store", "item": "coffee", "price": 100},

[1672] "search": {"keyword": "Shinjuku Ramen"},

[1673] "weather": {"condition": "sunny", "temperature": 25}

[1674] }

[1675] Step 7:

[1676] Sending data

[1677] The device starts processing

[1678] Input: JSON format data

[1679] How it works: The device sends data to the server using an HTTP POST request, including error handling.

[1680] Output: Data sent to the server

[1681] Example: The terminal sends formatted data to the server and outputs a log message stating "Data transmission completed."

[1682] Step 8:

[1683] Generating a life log

[1684] The server starts processing

[1685] Input: Data received from the terminal

[1686] Operation: The server analyzes the received data, automatically generates a life log on a daily basis, and stores it in a database.

[1687] Output: Daily life log data

[1688] Example: The server generates an entry that reads, "October 1, 2023, walked 10,000 steps in Shibuya Ward, Tokyo. Purchased coffee at a convenience store." and saves it in the database.

[1689] Step 9:

[1690] Converting to diary format

[1691] The server starts processing

[1692] Input: User-specified keywords

[1693] How it works: The server converts the lifelog into text based on keywords. It then generates the text using a generative AI model.

[1694] Output: diary-style text

[1695] Example: When a user specifies the keyword "location information," the sentence "Today I went to Shibuya Ward, Tokyo" is generated.

[1696] Step 10:

[1697] View, add, and edit life logs and diaries

[1698] The user initiates the action

[1699] Input: diary-style writing or life log

[1700] How it works: The user uses the device to view the lifelog or diary created and edit or add new information as needed.

[1701] Output: Lifelogs and diaries that have been revised or added

[1702] Example: A user can add to their diary, "I had a nice coffee at the cafe."

[1703] (Application example 1)

[1704] 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."

[1705] Conventional lifelog systems simply record and display users' behavior and health information, and do not adequately apply the collected data to the user's real life. Furthermore, conventional systems do not take commercial use into consideration, and do not offer personalized product recommendations based on the user's lifelog. As a result, improvements in convenience and added value for users are limited.

[1706] 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.

[1707] In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for aggregating the information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log and diary, and means for analyzing the life log and suggesting products in a virtual store. This enables commercial application of life log data and enables the provision of more personalized and useful services to users.

[1708] "Location information" is geographical data such as latitude and longitude that indicates the user's current location.

[1709] "Health information" is data related to the user's physical condition, and specifically includes the number of steps taken, heart rate, and the like.

[1710] "Payment information" refers to data related to products and services purchased by users, including usage history of electronic money, credit cards, etc.

[1711] "Search information" refers to data such as the user's search history and browsing history on the Internet.

[1712] "Weather information" is data indicating the weather conditions at the user's current location, including whether the weather is sunny or rainy and the temperature.

[1713] A "life log" is a collection of data that records a user's daily activities, health status, and so on.

[1714] A "virtual store" is a virtual commercial space that exists on the Internet where users can purchase goods and services online.

[1715] "Product suggestion" refers to the act of recommending individually suitable products and services based on the user's life log data.

[1716] The present invention is a system that automatically records a user's daily activities and health status, and then suggests products in a virtual store based on the records. This system is mainly composed of a terminal, a server, and a user.

[1717] Data collection

[1718] Terminal: Data collection

[1719] The device uses the GPS sensor, health app, payment app, web browser and internet to collect the following data:

[1720] Location information:

[1721] The device uses the GPS sensor to obtain the user's real-time location, including latitude, longitude, and time of acquisition.

[1722] Health information:

[1723] A healthcare app is used to obtain the user's health status, such as the number of steps taken and heart rate.

[1724] Payment Information:

[1725] Payment data showing where and what a user purchased is obtained from the usage history of electronic money and credit cards.

[1726] Search information:

[1727] Obtain the user's search history from their web browser to identify recently searched keywords and websites.

[1728] Weather information:

[1729] Weather information for the current location is obtained from the Internet and includes weather conditions (sunny, rainy, etc.) and temperature.

[1730] Data transmission

[1731] Terminal: Data transmission

[1732] The collected data is then sent to the server in bulk, for example using an HTTP POST request, with the data properly formatted and error handling implemented during transmission.

[1733] Lifelog generation

[1734] Server: Lifelog generation

[1735] The server analyzes the data received from the device and automatically generates a life log on a daily basis. The received data is compiled into a single life log entry and stored in a database.

[1736] Diary conversion

[1737] Server: Diary conversion

[1738] When a user inputs a keyword (such as "location information" or "health information"), the server converts the life log into a diary-style sentence based on the keyword. For example, if a user inputs the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo."

[1739] commercial use

[1740] Server: Product suggestions

[1741] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, if a user has a tendency to have a high heart rate, it will suggest products with a relaxing effect.

[1742] View, add, and edit

[1743] Device: View, add, edit

[1744] Users can view the lifelogs and diaries they have created using their devices. They can add or modify content as needed. For example, they can add a note like, "I had a delicious coffee at the cafe."

[1745] Specific examples

[1746] When a user carries a device around in their daily life, the device automatically collects location information, health information, payment information, search information, and weather information. The collected data is periodically sent to a server, which then uses it to generate a diary log for the user. When the user specifies a specific keyword, the server generates a diary-style text corresponding to that keyword and further analyzes the life log data to suggest recommended products in a virtual store. For example, if a user's recent health data shows a high heart rate, the server can suggest products with a relaxing effect.

[1747] Example prompts to input to the generative AI model:

[1748] "Please recommend products based on the user's life log data. The user's heart rate has been high recently. Please suggest products that have a relaxing effect."

[1749] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1750] Step 1:

[1751] Data collection

[1752] The device collects the user's location, health, payment, search, and weather information. Specifically, it obtains latitude and longitude using a GPS sensor, measures steps and heart rate using a health app, obtains purchase history using a payment app, and obtains search history using a web browser. Weather information is obtained via the Internet. This data is packaged in an appropriate format. The input is data from various sensors and apps, and the output is an integrated field of the collected data.

[1753] Step 2:

[1754] Data transmission

[1755] The terminal sends the collected data to the server using an HTTP POST request. The properly formatted data arrives at the server after error processing. The input is the data packaged on the terminal side, and the output is the data received on the server side.

[1756] Step 3:

[1757] Lifelog generation

[1758] The server analyzes the data received from the device and automatically generates a daily lifelog. The received data is analyzed, compiled into specific lifelog entries, and stored in a database. The input is the various data sent to the server, and the output is the generated lifelog entries.

[1759] Step 4:

[1760] Diary conversion

[1761] When a user specifies a specific keyword, the server converts the life log into a diary-style sentence based on that keyword. For example, if a user specifies the keyword "location information," the server generates the sentence "Today I went to Shibuya Ward, Tokyo." The input is the keyword from the user, and the output is the generated diary-style sentence.

[1762] Step 5:

[1763] Product proposals

[1764] The server analyzes the life log data and suggests products in the virtual store based on the user's past behavior and health status. For example, it suggests products with a relaxing effect to a user with a high heart rate. The input is the life log data, and the output is a list of products suggested in the virtual store.

[1765] Step 6:

[1766] View, add, and edit

[1767] Users can view the lifelogs and diaries they have created on their devices and add or modify content as needed. For example, it is possible to add a note such as "I had a delicious coffee at the cafe." The input is the lifelog or diary data that has been created, and the output is the data modified or added by the user.

[1768] 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.

[1769] This system aims to automatically record a user's daily activities and health status, recognize their emotional state, add it to a life log, visually check it, edit it, and convert it into a diary format. This system is mainly composed of a terminal, a server, an emotion engine, and a user.

[1770] The system of the present invention is implemented in the following manner.

[1771] Data collection

[1772] Terminal: Data collection

[1773] The device collects the user's location, health, payment, search, and weather information. Specifically, the device obtains latitude and longitude using the GPS sensor, and collects steps and heart rate from the health app. It also obtains payment information from electronic money and credit card usage history and search information from web search history. Weather information for the current location is obtained via the Internet.

[1774] emotion recognition

[1775] Device: Emotion data collection

[1776] The device collects the user's text input, voice input, and image data and sends them to the emotion engine.

[1777] Emotion Engine: Emotion Analysis

[1778] The emotion engine analyzes the collected data and identifies the user's emotions. For example, it uses text analysis to determine the user's emotional state from their written content, and voice analysis and facial recognition technology to recognize emotions from the user's voice and facial expressions.

[1779] Data transmission

[1780] Terminal: Data transmission

[1781] The collected data and emotion analysis results are compiled into a specific format and sent to the server in one batch. The transmission method is an HTTP POST request, with a mechanism to retry in case of an error. The data sent includes location information, health information, payment information, search information, weather information, and emotion data.

[1782] Lifelog generation

[1783] Server: Data reception

[1784] The server receives the data sent from the device, analyzes it, and identifies it as individual data points. This allows each piece of information, such as location information, health information, and emotional data, to be stored separately on the server.

[1785] Server: Lifelog generation

[1786] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data to generate a single life log entry. This life log entry is then stored in a database.

[1787] Diary conversion

[1788] Server: Diary conversion

[1789] The user sends keywords to the server via their device. The server converts the life log into diary-style text based on the received keywords. For example, if the keywords "location information" and "emotional state" are sent, a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[1790] View, add, and edit

[1791] Terminal: View Logs

[1792] The server sends the generated diary-style text to the terminal. The terminal displays the received text to the user. The displayed diary-style text is formatted so that it is easy for the user to check.

[1793] User:Edit Log

[1794] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1795] Database Update

[1796] Server:Database Update

[1797] The server receives the updates sent by the user and updates the corresponding entries in the database. The updated lifelog is stored for future reference and further editing.

[1798] Specific examples

[1799] When a user carries the device around in their daily life, it automatically collects location, health, payment, search, and weather information. The emotion engine also analyzes the text, voice, and image data the user inputs through the device to recognize the user's emotional state. The collected data and the results of the emotion analysis are periodically sent to a server, which then generates a daily life log based on that data. When the user specifies keywords, the server converts the life log into diary-style text and presents it to the user. The user can review the text and add or edit the content.

[1800] The system of the present invention allows users to easily record and review their own actions and emotions. This is particularly useful for seniors and people with memory impairments. It can also be a useful tool for general users to improve their lives.

[1801] The processing flow will be explained below.

[1802] Step 1:

[1803] Terminal: Data collection

[1804] The device collects the user's location, health, payment, search, and weather information. Specifically, the device uses a GPS sensor to determine latitude and longitude, and obtains step counts and heart rate data from a health app. It also collects payment information from electronic money and credit card usage history and obtains search queries from browser history. It also obtains weather information for the user's current location via the Internet.

[1805] Step 2:

[1806] Device: Emotion data collection

[1807] The device collects the user's text input (messages and diary entries), voice input (speech and voice memos), and image data (photos and facial expressions), and sends this data to the emotion engine.

[1808] Step 3:

[1809] Emotion Engine: Emotion Analysis

[1810] The emotion engine analyzes the received text, audio, and image data to identify the user's emotions. Text analysis extracts emotions from keywords and context, audio analysis analyzes the tone and tempo of sounds, and image analysis recognizes facial expressions in images to assess the user's emotional state.

[1811] Step 4:

[1812] Terminal: Data transmission

[1813] The collected data (location information, health information, payment information, search information, weather information) and the emotion analysis results are sent to the server in one batch. The sending method is an HTTP POST request, and includes a process to retry data transmission if it fails.

[1814] Step 5:

[1815] Server: Data reception

[1816] The server receives the data sent from the device, analyzes and organizes each data point, and categorizes the received data into location information, health information, payment information, search information, weather information, and emotion data.

[1817] Step 6:

[1818] Server: Lifelog generation

[1819] The server automatically generates a daily life log based on the data it receives. Specifically, it integrates various data and creates life log entries for each date and time. The created entries are saved in a database.

[1820] Step 7:

[1821] Server: Diary conversion

[1822] The user sends keywords to the server via their device. For example, if they input "location information" and "emotional state," the server generates a diary entry such as "Today I went to Shibuya Ward, Tokyo. I felt good" based on the corresponding life log entry.

[1823] Step 8:

[1824] Terminal: View Logs

[1825] The server sends the diary-style text it has created to the terminal. The terminal displays the received diary-style text to the user. The display format is arranged to make it easy for the user to see and check.

[1826] Step 9:

[1827] User:Edit Log

[1828] The user can add or modify the diary-style text displayed. For example, they can add details such as "I had a delicious coffee at a cafe." Once they have completed editing, they send the updated data to the server via their device.

[1829] Step 10:

[1830] Server:Database Update

[1831] The server receives the updates sent by the user and updates the corresponding entries in the database, so that the updated lifelog is stored for future reference and further editing.

[1832] Through the above processing steps, the system automatically collects and records information about the user's daily life, recognizes their emotional state, adds it to a life log, and makes it possible to display and edit it in diary format.

[1833] Example 2

[1834] 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."

[1835] In today's busy lifestyles, it is difficult for users to centrally and automatically record their daily activities, health status, and even emotional state, and easily review them. Seniors and people with memory impairments in particular need tools that allow them to accurately retain daily memories and manage their health.

[1836] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the terminal includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for acquiring search information, means for acquiring weather information, means for collecting user emotion data and transmitting it to an emotion engine, and means for transmitting the collected information and emotion analysis results to a server. The emotion engine includes means for analyzing the emotion data and identifying the user's emotional state, and the server includes means for automatically generating a life log based on the received information, means for converting the life log into a diary format based on keywords from the user, and means for displaying the generated life log and diary to the user and enabling them to view, add to, and edit them. This allows the user's daily activities, health status, and emotional state to be centrally and automatically recorded and easily reviewed.

[1837] A "terminal" is an electronic device that can be carried by a user and that collects and transmits data using various sensors and applications.

[1838] "Location Information" means the geographic latitude and longitude data of a Device obtained using a GPS sensor.

[1839] "Health information" refers to physiological data such as the user's steps, heart rate, and activity level collected through the device's health care app and sensors.

[1840] "Payment information" refers to data about a user's purchasing activities collected through electronic money or credit card usage history.

[1841] "Search Information" means historical data about search queries made and web pages viewed by a user through a web browser.

[1842] "Weather information" refers to data provided via the Internet about the weather at a user's current location or in a specified area.

[1843] "Emotional Data" means data about a user's emotional state that is collected through the user's text input, voice input, or image data.

[1844] An "emotion engine" is a software component that analyzes a user's emotional data and recognizes and identifies their emotional state.

[1845] A "server" is a remotely located computer system that receives and stores data sent from devices and generates life logs.

[1846] A "life log" is data that records a user's actions and status in their daily life, and includes location information, health information, payment information, search information, weather information, and emotional data.

[1847] The "diary format" is a format in which life log data is expressed as text in natural sentences, and is easy for users to intuitively understand.

[1848] This invention is a system that automatically records a user's daily activities, health status, and emotional state, and manages and displays them as a life log. The main components of the system are the terminal, server, emotion engine, and user.

[1849] Hardware and Software Configuration

[1850] Terminal

[1851] A device is an electronic device carried by a user that collects data using various sensors and applications. Specific examples include smartphones and smartwatches.

[1852] The device includes the following sensors and applications:

[1853] GPS sensor: Used to obtain location information.

[1854] Health app: Collects health information such as steps taken and heart rate.

[1855] Payment app: Obtains payment information from electronic money and credit card usage history.

[1856] Web browser: Collects search history.

[1857] Weather Information API: Obtain weather information via the Internet.

[1858] Microphone and camera: Collects audio input and image data.

[1859] server

[1860] The server is a remotely located computer system that receives, stores, and analyzes various data sent from the terminals.

[1861] The server includes the following software components:

[1862] Database system: Efficiently stores received data.

[1863] Lifelog generation algorithm: Automatically generates a lifelog on a daily basis.

[1864] Natural language generation engine: Converts life logs into diary-style text.

[1865] Emotion Engine

[1866] The emotion engine is a software component that has the function of analyzing the user's emotion data and identifying the user's emotional state.

[1867] Natural language processing techniques are used to analyze text data, and speech analysis techniques are used to analyze audio data.

[1868] Image recognition technology is used to recognize facial expressions from image data.

[1869] Usage Scenarios and Examples

[1870] Data collection scenario:

[1871] When users carry a smartphone or smartwatch around with them in their daily lives, the device automatically collects location information, health information, payment information, search information, weather information, as well as text, voice, and image data that users input into the device.

[1872] Examples:

[1873] While the user is walking, the smartwatch measures the number of steps and heart rate, and the GPS sensor records the user's location (latitude and longitude).

[1874] When shopping at a convenience store, electronic money is used and the payment information is recorded.

[1875] They then search the internet for healthy eating tips and their history is collected.

[1876] Emotion Recognition Scenario:

[1877] If a user types into a diary app, "Today I'm tired, but it was fun," the emotion engine analyzes the text and identifies emotional states such as "tired" or "fun." Emotion recognition is also performed using voice input and image data.

[1878] Data transmission scenarios:

[1879] The collected data and sentiment analysis results are sent from the device to the server in bulk using an HTTP POST request, with retries being performed in the event of an error.

[1880] Lifelog generation scenarios:

[1881] The server analyzes the received data and automatically generates a daily life log. For example, by integrating location, health, and emotional data, an entry such as "October 15, 2023, Location: Shibuya Ward, Steps: 5,000, Emotion: Positive, Weather: Sunny" is generated.

[1882] Diary conversion scenario:

[1883] When a user sends specific keywords to the server, the server generates diary-style sentences based on the life log. For example, the keywords "location information" and "emotional state" generate a sentence such as "Today I went to Shibuya Ward, Tokyo. I felt good."

[1884] View / Add / Edit Scenarios:

[1885] The server generates a diary-style text and displays it to the user, who can then add or modify it. For example, the user can add details such as "I had a delicious coffee at a cafe." After editing is complete, the updated data is sent to the server and the database is updated.

[1886] Prompt Sentence Examples

[1887] "What kind of data does the device collect?"

[1888] "How does the emotion engine recognize emotions?"

[1889] "How does diary-style writing translate?"

[1890] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1891] Step 1: Data collection

[1892] input:

[1893] Users' daily activities, including walking, shopping, searching the internet, checking the weather, typing text, speaking, taking pictures, etc.

[1894] Specific behavior:

[1895] The device collects location information using a GPS sensor. It also collects health information (step count, heart rate) through a healthcare app. It also collects payment information by reading electronic money and credit card usage history. It also obtains search information from browser history and weather information via the Internet. It also collects text, voice, and image data entered by the user.

[1896] output:

[1897] Collected location information, health information, payment information, search information, weather information, text, audio, and image data.

[1898] Step 2: Sentiment data analysis

[1899] input:

[1900] Text, audio, and image data collected from your device.

[1901] Specific behavior:

[1902] The device sends the collected text data to an emotion engine, which uses natural language processing technology to analyze the text data and identify the emotional state. Similarly, it uses voice analysis technology to analyze the voice data and determine emotions from the tone and pitch of the voice. It also uses facial recognition algorithms to analyze facial expressions from image data and identify emotions.

[1903] output:

[1904] Sentiment analysis results (e.g., positive, negative, neutral).

[1905] Step 3: Send data

[1906] input:

[1907] Collected location information, health information, payment information, search information, weather information, and sentiment analysis results.

[1908] Specific behavior:

[1909] The various data collected by the device and the results of sentiment analysis are compiled into a specific format (such as JSON) and sent to the server using an HTTP POST request. If an error occurs during transmission, the request is automatically retried.

[1910] output:

[1911] The aggregate data sent to the server.

[1912] Step 4: Data reception and analysis

[1913] input:

[1914] The aggregate data sent from the device to the server.

[1915] Specific behavior:

[1916] The server receives the HTTP POST request, parses the aggregated data into individual data points (location, health, payment, search, weather, emotion), and stores these data points in a database.

[1917] output:

[1918] Data stored as individual data points.

[1919] Step 5: Lifelog generation

[1920] input:

[1921] Individual data points stored on the server.

[1922] Specific behavior:

[1923] The server automatically generates a daily life log. Specifically, it integrates location information, health information, payment information, search information, weather information, and emotion data from the day to create a life log entry. This entry is stored in a database.

[1924] output:

[1925] Lifelog entries generated daily.

[1926] Step 6: Diary conversion

[1927] input:

[1928] Keywords sent by the user via the device (e.g., "location information" or "emotional state").

[1929] Specific behavior:

[1930] Based on the keywords received by the server, relevant data is extracted from the life log and converted into diary-style text using natural language generation technology.

[1931] output:

[1932] Diary-style writing (e.g., "Today I went to Shibuya Ward, Tokyo. I felt good.").

[1933] Step 7: View, add, and edit

[1934] input:

[1935] Server-generated diary-style text.

[1936] Specific behavior:

[1937] The device receives diary-style text from the server and displays it to the user. The user can then check the displayed text and add or edit it. Once editing is complete, the user sends the updated data to the server via the device.

[1938] output:

[1939] The update data sent to the server.

[1940] Step 8: Database Update

[1941] input:

[1942] Update data sent by the user.

[1943] Specific behavior:

[1944] The server receives the updated data and updates the corresponding entry in the database, and the updated lifelog is stored for future reference and further editing.

[1945] output:

[1946] Updated lifelog entry.

[1947] (Application example 2)

[1948] 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."

[1949] The problem that this invention aims to solve is to effectively record a user's daily activities and health status, analyze their emotional state, integrate them into a life log, and then make it easy to visually check, edit, and convert it into a diary format.Furthermore, it aims to improve the customer experience by proposing optimal products and services to individual customers in physical stores based on the collected information.

[1950] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring location information, means for acquiring health information, means for acquiring payment information, means for analyzing emotional states, means for aggregating each piece of information and transmitting it to the server, means for the server to automatically generate a life log based on the information received, means for the server to convert the life log into a diary format based on keywords from the user, means for allowing the user to view, add to, and modify the life log or diary, and means for proposing optimal products and services to customers based on the collected data. This allows users to easily record and review their actions and emotions, and makes it possible to provide personalized services to each customer.

[1951] "Location information" is information that indicates the user's current geographical location.

[1952] "Health information" is information that indicates the physical condition of the user, and includes the number of steps taken, heart rate, and the like.

[1953] "Payment information" refers to information relating to payments made by a user, including credit card and electronic money usage history.

[1954] "Search information" refers to information about the search history that a user has performed on the Internet.

[1955] "Weather information" is information that indicates the weather conditions at the user's current location or at a specific location.

[1956] "Emotional state" is information indicating the psychological state of the user, and includes emotional states analyzed from text, voice, and image data.

[1957] A "life log" is data that compiles and records information such as a user's daily activities, health status, and emotional state.

[1958] "Diary format" refers to data written in sentence format based on collected life log information.

[1959] "Server" means a device on a network that receives, processes and stores data sent by users.

[1960] "Aggregation" means combining multiple pieces of information into one.

[1961] "Transmitting" refers to the act of sending data or information to a specific recipient.

[1962] "Viewing" refers to the act of checking recorded information or data.

[1963] "Appendix" refers to adding new content to existing information or data.

[1964] "Modification" refers to changing the content of existing information or data.

[1965] "Product" refers to a tangible item provided to a user.

[1966] "Service" refers to a specific action or benefit provided to a User.

[1967] "Customer experience" refers to the overall satisfaction and impression a user has when using a product or service.

[1968] An embodiment of the present invention will be described. This embodiment is a system that records a user's daily activities, health status, and emotional state, integrates them into a life log, and then converts the life log into a diary format. The system also aims to improve customer experience by proposing optimal products and services based on the collected information.

[1969] This system mainly consists of a smartphone, a server, an emotion analysis engine, and a user.

[1970] Hardware / Software used

[1971] Smartphone: A device carried by the user that is equipped with a GPS sensor, network connectivity, healthcare apps, payment apps, voice input functionality, a camera, etc.

[1972] Server: A networked device that receives, analyzes, stores, and generates lifelogs of data. It runs on software such as Apache or Flask.

[1973] Emotion engine: An engine that analyzes a user's text, voice, and image data to identify their emotional state, using technologies such as HuggingFace and IBM Watson.

[1974] Data flow and analysis procedure

[1975] The user's smartphone collects location, health, payment, search, and weather information. It also collects the user's text input, voice input, and image data, and sends them to a sentiment analysis engine. The sentiment analysis engine analyzes the data and identifies the user's emotional state. This information is compiled into a specific format and sent in bulk to a server.

[1976] The server automatically generates a life log based on the received information and stores it in a database on a daily basis. When a user submits a keyword, the server converts the life log into a diary-style text. The user can then view the diary-style text using their smartphone and add or edit the content.

[1977] Furthermore, the system uses the collected data to suggest optimal products and services to individual customers in physical stores, making it possible to easily record and review user behavior and emotions, and significantly improve the customer experience in physical stores.

[1978] Specific examples

[1979] In a physical store, a user uses their smartphone to record their location, health, payment, search, weather, and other information in real time. For example, when a user is searching for a product in a store, their location information is acquired and an emotion analysis engine detects an "excited" state based on an increase in heart rate. This information is sent to a server and analyzed together with past search history, allowing optimal product suggestions and coupons to be instantly displayed on the user's smartphone.

[1980] Prompt Sentence Examples

[1981] "Design a smartphone app for a marketing campaign that automatically collects and analyzes customers' location information, health information, and emotional state in a physical store, and uses this information to make personalized product recommendations to customers. Text, voice, and image data will be used to analyze emotional state. The collected data will be sent to a server for later analysis. Please describe your specific approach and the technologies you will use."

[1982] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1983] Step 1:

[1984] The device collects location information, health information, payment information, search information, and weather information. Data from the GPS sensor, healthcare app, payment app, web browser history, and weather information service is used as input. The collected information is temporarily stored on the device. Specifically, the device periodically calls the GPS sensor to obtain the current latitude and longitude. It also obtains the number of steps and heart rate from the healthcare app and recent payment information from the payment app. It analyzes the web browser history to collect recent search keywords and obtains weather information for the current location via the Internet.

[1985] Step 2:

[1986] The device collects data for analyzing the emotional state and sends it to the emotion engine. The inputs used are the user's text input, voice input, and image data. These data are preprocessed for emotion analysis and sent to the emotion engine. Specifically, the device captures the text message entered by the user, collects voice input using the voice recording function, and obtains image data using the camera function. These obtained data are sent to the emotion engine, and the emotional state is analyzed.

[1987] Step 3:

[1988] The emotion engine analyzes the received data and identifies the user's emotional state. It uses text, voice, and image data sent from the device as input, and generates an emotional state label (e.g., "joy," "sadness," "anger," etc.) as output. Specifically, it analyzes the text data using a natural language processing model, the voice data using an acoustic analysis model, and the image data using a facial recognition model. The candidate emotional states obtained by each analysis method are integrated to identify the final emotional state.

[1989] Step 4:

[1990] The device sends all the information collected and the results of analyzing the emotional state to the server in one batch. Location information, health information, payment information, search information, weather information, and emotional data are used as input. A batched data packet is generated as output and sent to the server via an HTTP POST request. Specifically, the device compiles each piece of information into a specific format and generates a data packet. The generated data packet is then sent to the server via an HTTP POST request. A mechanism is implemented to retry if the transmission fails.

[1991] Step 5:

[1992] The server receives the data sent from the device. It uses the data packets from the device as input and stores the received data as output. Specifically, the server analyzes the received data packets and identifies each piece of information as a separate data point. It stores the identified data points in the appropriate database.

[1993] Step 6:

[1994] The server automatically generates a daily lifelog based on the data it receives. Location, health, payment, search, weather, and emotion data stored in the server are used as input, and daily lifelog entries are generated as output. Specifically, the server integrates each data point to generate daily lifelog entries. The generated lifelog entries are stored in a database for future reference and further analysis.

[1995] Step 7:

[1996] The user sends keywords to the server, which converts the life log into diary-style text. The keywords from the user are used as input, and diary-style text is generated as output. Specifically, the server analyzes the life log based on the received keywords and generates text that combines each data point. For example, if keywords such as "location information" and "emotional state" are sent, a text such as "Today I went to Shibuya Ward, Tokyo. I felt good" will be generated.

[1997] Step 8:

[1998] The terminal displays the generated diary-style text to the user, who then checks, adds to, or corrects the content. The diary text sent from the server is used as input, and added or corrected text data is generated as output. Specifically, the terminal visually displays the diary text received from the server to the user. The user adds to or corrects the displayed text, and then sends the updated data back to the server.

[1999] Step 9:

[2000] The server receives the update data and updates the corresponding entry in the database. The update data sent by the user is used as input, and the lifelog entry in the database is updated as output. Specifically, the server analyzes the received update data and identifies the corresponding lifelog entry. The server then updates the corresponding entry with any additions or modifications, and saves the updated lifelog entry in the database.

[2001] 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.

[2002] 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.

[2003] 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.

[2004] 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.

[2005] 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.

[2006] 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.

[2007] 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).

[2008] 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.

[2009] 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."

[2010] 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.

[2011] 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).

[2012] 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.

[2013] 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.

[2014] 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.

[2015] 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.

[2016] 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.

[2017] 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.

[2018] 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.

[2019] 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.

[2020] 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.

[2021] 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.

[2022] The following is further disclosed regarding the above embodiment.

[2023] (Claim 1)

[2024] A means for acquiring location information;

[2025] a means of obtaining health information;

[2026] A means for obtaining payment information;

[2027] a means for obtaining search information;

[2028] A means for obtaining weather information;

[2029] a means for aggregating the information and transmitting it to a server;

[2030] A means for automatically generating a life log based on the information received by the server;

[2031] A means for the server to convert the life log into a diary format based on keywords from the user;

[2032] A means for enabling a user to view, add to, and modify a life log or diary;

[2033] A system including:

[2034] (Claim 2)

[2035] 2. The system according to claim 1, wherein location information, health information, payment information, search information, and weather information are periodically collected and transmitted to the server in bulk.

[2036] (Claim 3)

[2037] 2. The system according to claim 1, wherein the server analyzes the received data, generates a life log on a daily basis, and stores the life log in a database.

[2038] "Example 1"

[2039] (Claim 1)

[2040] A means for acquiring location information;

[2041] a means of obtaining health information;

[2042] A means for obtaining payment information;

[2043] a means for obtaining search information;

[2044] A means for obtaining weather information;

[2045] means for aggregating the information and transmitting it to an external storage device;

[2046] means for automatically generating a behavior record based on the information received by the external storage device;

[2047] A means for converting the behavior record into a text format based on a keyword from the user in the external storage device;

[2048] A means for enabling users to view, add, and modify activity records and text;

[2049] A system including:

[2050] (Claim 2)

[2051] 2. The system according to claim 1, wherein location information, health information, payment information, search information, and weather information are periodically collected and transmitted in bulk to an external storage device.

[2052] (Claim 3)

[2053] 2. The system according to claim 1, wherein the external storage device analyzes the received data, generates a daily activity record, and stores the record in a database.

[2054] "Application Example 1"

[2055] (Claim 1)

[2056] A means for acquiring location information;

[2057] a means of obtaining health information;

[2058] A means for obtaining payment information;

[2059] a means for obtaining search information;

[2060] A means for obtaining weather information;

[2061] a means for aggregating the information and transmitting it to a server;

[2062] A means for automatically generating a life log based on the information received by the server;

[2063] A means for the server to convert the life log into a diary format based on keywords from the user;

[2064] A means for enabling a user to view, add to, and modify a life log or diary;

[2065] A means of analyzing life logs and proposing products in a virtual store,

[2066] A system including:

[2067] (Claim 2)

[2068] 2. The system according to claim 1, wherein location information, health information, payment information, search information, and weather information are periodically collected and transmitted to the server in bulk.

[2069] (Claim 3)

[2070] 2. The system according to claim 1, wherein the server analyzes the received data, generates a life log on a daily basis, stores it in a database, and makes product suggestions to individual users in a virtual store.

[2071] "Example 2: Combining Emotion Engines"

[2072] (Claim 1)

[2073] A means for the terminal to acquire location information;

[2074] A means for the device to acquire health information;

[2075] A means for the terminal to obtain payment information;

[2076] A means for the terminal to obtain search information;

[2077] A means for the terminal to obtain weather information;

[2078] A means for the terminal to collect and transmit user emotion data to the emotion engine;

[2079] a means for the emotion engine to analyze the emotion data and identify an emotional state;

[2080] A means for transmitting the collected information and emotion analysis results to a server by the terminal;

[2081] A means for automatically generating a life log based on the information received by the server;

[2082] A means for the server to convert the life log into a diary format based on keywords from the user;

[2083] A means for the device to display a life log or diary to the user and enable the user to view, add, or modify the life log or diary;

[2084] A system including:

[2085] (Claim 2)

[2086] 2. The system according to claim 1, wherein the terminal periodically collects location information, health information, payment information, search information, weather information, and emotion data and transmits them all at once to the server.

[2087] (Claim 3)

[2088] 2. The system according to claim 1, wherein the server analyzes the received data, generates a life log on a daily basis, and stores the life log in a database.

[2089] "Application example 2 when combining emotion engines"

[2090] (Claim 1)

[2091] A means for acquiring location information;

[2092] a means of obtaining health information;

[2093] A means for obtaining payment information;

[2094] a means for obtaining search information;

[2095] A means for obtaining weather information;

[2096] a means for analyzing an emotional state;

[2097] a means for aggregating the information and transmitting it to a server; ...

Claims

1. A means for acquiring location information; a means of obtaining health information; A means for obtaining payment information; a means for obtaining search information; A means for obtaining weather information; a means for aggregating the information and transmitting it to a server; A means for automatically generating a life log based on the information received by the server; A means for the server to convert the life log into a diary format based on keywords from the user; A means for enabling a user to view, add to, and modify a life log or diary; A system including:

2. 2. The system according to claim 1, wherein the system periodically collects location information, health information, payment information, search information, and weather information and transmits them to the server in a batch.

3. 2. The system according to claim 1, wherein the server analyzes the received data, generates a life log on a daily basis, and stores the life log in a database.

Images