System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting biometric data by a wearable device; means for determining an emotional change detected by the wearable device; means for recording and summarizing audio associated with the emotional change; means for automatically generating a diary based on the summarized audio data; and means for notifying a user of the diary.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Over time, users often forget the emotional moments and special events they experience in their daily lives. However, keeping a diary to record these special moments is time-consuming and laborious. Furthermore, handwritten diaries and traditional digital diaries make it difficult to accurately record emotional changes and the details of those moments. To address these issues, a system is needed that can automatically detect emotional moments and automatically generate a diary that includes audio and visual information from those moments. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including a means for collecting biometric data using a wearable device, a means for determining emotional changes detected by the wearable device, a means for recording and summarizing audio related to the emotional changes, a means for automatically creating a diary based on the summarized audio data, and a means for notifying the user of the diary. Furthermore, the system includes a means for capturing images and videos using smart glasses and embedding them in the diary, and a means for detecting emotional changes by analyzing pulse and brain waves, thereby accurately recording emotional changes and the moment of their occurrence, allowing the user to keep a diary without any effort.

[0006] A "wearable device" is a device that is worn by the user on the body and has functions such as collecting biometric data, detecting changes in emotions, and recording audio.

[0007] "Biometric data" refers to physiological data such as a user's pulse, brain waves, and body temperature, including information used to detect emotional changes.

[0008] "Change in emotion" indicates a change in the user's emotional state based on biometric data, and includes, for example, emotions such as excitement, surprise, and joy.

[0009] "Recording" is the process of storing audio data within the device, recording the audio before and after a change in emotion is detected.

[0010] "Summarization" is the process of extracting important information from recorded audio data and converting it into a concise text format.

[0011] "Automatic diary generation" refers to the system automatically creating a written diary using summarized audio data and other related information.

[0012] "Notification" is the process by which the system notifies the user that the diary creation is complete, and notification methods include smartphones and PCs.

[0013] "Smart glasses" are eyeglass-type devices worn by users that have the ability to capture and record images and videos.

[0014] "Pulse," also known as heart rate, represents the speed of a user's heartbeat and is one type of biometric data used to detect changes in emotions.

[0015] "Electroencephalograms" are data that record the electrical activity of the brain, and are a type of biometric data used to analyze a user's emotions and cognitive state. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention relates to a system that uses a wearable device to automatically detect changes in a user's emotions and record those moments in a diary.

[0038] composition

[0039] The system includes the following elements:

[0040] 1. Wearable devices: Collect biometric data such as pulse rate and brain waves.

[0041] 2. Server: Analyzes biometric data and detects changes in emotions.

[0042] 3. Recording device: Collects audio data and sends it to the server.

[0043] 4. Automatic summarization system: Extracts important information from audio data and converts it into text.

[0044] 5. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[0045] 6. User interface: displays the diary and notifies the user.

[0046] Operation explanation

[0047] Data collection and emotion detection

[0048] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0049] Audio recording and summarization

[0050] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0051] Automatic diary generation

[0052] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0053] Diary notifications and confirmation

[0054] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0055] Specific examples

[0056] As a practical example, consider the case where a user visits an art museum and experiences a sudden increase in pulse rate upon viewing a particular painting. At this time, the wearable device detects this sudden increase in pulse rate and sends the data to a server. At the same time, the wearable device records the user's emotional words and sends these to the server. The server analyzes these emotional changes and automatically generates a diary entry along with a summarized text. If the user is wearing smart glasses, photos and videos of the painting are also taken and attached to the diary entry. The server then notifies the user that the diary entry is complete, allowing the user to easily check the completed entry.

[0057] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[0061] Step 2:

[0062] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[0063] Step 3:

[0064] The device records audio data for a certain period of time immediately after detecting a change in emotion, and then transmits this audio data to a server.

[0065] Step 4:

[0066] The server analyzes the received biometric data and voice data, and determines that the user is emotional.

[0067] Step 5:

[0068] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0069] Step 6:

[0070] The server automatically generates a draft diary entry based on the summarized text and associated metadata, such as a sentence like "Today I saw a moving painting at the art museum."

[0071] Step 7:

[0072] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[0073] Step 8:

[0074] The server places the sent images and videos in the relevant parts of the diary, specifically attaching "photos of paintings that moved you" to the diary.

[0075] Step 9:

[0076] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[0077] Step 10:

[0078] Users can check their diary entries by receiving notifications and easily reread the diary entries created on their smartphones or PCs to relive special moments from that day.

[0079] Example 1

[0080] 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."

[0081] With conventional manual diary recording methods, users often forget to record special moments in their daily lives, which is time-consuming. It is also difficult to integrate various information, such as biometric data and voice data, to create a diary based on emotional changes. Therefore, there is a need for a system that can appropriately record changes in a user's emotions and easily review them later.

[0082] 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.

[0083] In this invention, the server includes means for collecting biometric data, means for analyzing the biometric data and detecting changes in emotions, means for recording voice data when a change in emotion is detected and transmitting the voice data to the server, means for summarizing the voice data and converting it into concise text on the server, means for automatically generating a diary based on the summarized text, and means for notifying the user of the generated diary. This allows the user to automatically and effortlessly create a diary based on changes in emotions, and easily record and look back on special moments.

[0084] "Biometric data" refers to physiological information such as the user's pulse rate and brain waves.

[0085] "Changes in emotion" refers to a phenomenon that indicates the moment when a user's emotions change significantly.

[0086] "Voice data" refers to voice information such as what the user says when a change in emotion is detected.

[0087] "Summarization" refers to extracting important information from audio data and converting it into concise text.

[0088] A "diary" refers to a record that includes text, images, and videos that record the user's emotional changes and related events.

[0089] "Notification" refers to a message sent from the server to the user's terminal informing them that a diary entry has been created.

[0090] "Server" refers to a central computer system that analyzes and processes data.

[0091] A "wearable device" is a device that can be worn by a user and collects biometric and audio data.

[0092] "Automatic generation" refers to creating a diary without human intervention based on a program algorithm.

[0093] "Smart glasses" refers to eyeglass-type imaging devices that users can wear to take images and videos.

[0094] The present invention relates to a system for monitoring changes in a user's emotions and automatically recording the same as a diary. Specific embodiments for carrying out the present invention will be described below.

[0095] composition

[0096] The system includes the following elements:

[0097] 1. Wearable devices

[0098] It collects biometric data such as the user's pulse and brain waves in real time.

[0099] Examples include smartwatches and EEG headsets.

[0100] 2. Server

[0101] Analyze biometric data to detect changes in emotions.

[0102] Summarize audio data and automatically generate a diary.

[0103] For example, a high-performance cloud server is used.

[0104] 3. Recording equipment

[0105] Voice data is collected at the moment a change in emotion is detected and sent to the server.

[0106] For example, voice recognition devices and smart speakers fall into this category.

[0107] 4. Automatic Summarization System

[0108] Extract important information from audio data and convert it into concise text.

[0109] For example, this includes software that uses natural language processing technology.

[0110] 5. Smart glasses (optional)

[0111] It takes pictures and videos within the user's field of vision and sends them to the server.

[0112] For example, augmented reality (AR) glasses with camera functionality are included.

[0113] 6. User Interface

[0114] Display the diary and notify the user.

[0115] For example, applications for smartphones and tablets are used.

[0116] Operation explanation

[0117] Data collection and emotion detection

[0118] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0119] Audio recording and summarization

[0120] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0121] Automatic diary generation

[0122] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0123] Diary notifications and confirmation

[0124] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0125] Specific examples

[0126] As a practical example, consider the case where a user visits an art museum and sees a particular painting, causing their pulse rate to spike. At this time, the wearable device detects this spike and sends the data to the server. At the same time, the user's words of appreciation, such as "This painting is truly amazing!", are recorded by the recording device and sent to the server.

[0127] The server analyzes the received pulse data and detects changes in emotions. It then runs the audio data through an automatic summarization system, generating text such as "I saw a moving painting at the art museum." The server combines this text with an image of the painting captured by the smart glasses to create a diary entry, and sends a notification to the user's device indicating that the diary entry has been created. The user can easily reminisce about special moments from that day by clicking the notification and viewing the created diary entry.

[0128] Prompt Sentence Examples

[0129] "Enter the following prompt into the generative AI model: 'Summarize the voice data when changes in emotion are detected and generate a diary. As a concrete example, we will provide voice data and pulse rate data from when the user saw a painting that moved them in an art museum.'"

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Step 1:

[0132] Data collection

[0133] Input: User's biometric data such as pulse rate and brain waves

[0134] Output: Sending biometric data to the server

[0135] Specific actions

[0136] Wearable devices measure the user's pulse and brain waves in real time and collect biometric data. The collected data is sent to a server via wireless communication. For example, a wearable device can monitor the user's pulse in real time while they are viewing a particular painting in an art museum, and send the data to a server.

[0137] Step 2:

[0138] Emotion detection

[0139] Input: Biometric data sent to the server

[0140] Output: Flag indicating change in emotion

[0141] Specific actions

[0142] The server analyzes the received biometric data and uses a specific algorithm to detect changes in emotions. For example, if the pulse rate rises above a certain threshold, it recognizes this as a change in emotion. A flag indicating a change in emotion is then raised, and the system proceeds to the next processing step.

[0143] Step 3:

[0144] Recording and transmitting audio data

[0145] Input: Flag indicating change in emotion

[0146] Output: Sending recorded audio data to the server

[0147] Specific actions

[0148] When a flag indicating a change in emotion is raised, the wearable device or recording device will record the most recent voice data. The recorded voice data will be sent to the server. For example, the user's voice saying, "This painting is really amazing!" will be recorded.

[0149] Step 4:

[0150] Summarizing audio data

[0151] Input: Audio data sent to the server

[0152] Output: Summarized text

[0153] Specific actions

[0154] The server then runs the received audio data through an automatic summarization system, extracting key information and converting it into concise text. Using a generative AI model, the server analyzes the audio data, such as "This painting is truly amazing!", and generates the summary text, "I saw a moving painting at the art museum."

[0155] Step 5:

[0156] Diary generation

[0157] Input: Summarized text, images and videos taken with smart glasses (optional)

[0158] Output: Generated diary

[0159] Specific actions

[0160] The server uses the summarized text to create a draft diary entry, and simultaneously completes the diary entry by placing any images or videos taken with the smart glasses in relevant places. For example, an image of a painting that moved the user can be attached to the diary entry.

[0161] Step 6:

[0162] Diary notifications

[0163] Input: Generated diary

[0164] Output: Notification to the user interface

[0165] Specific actions

[0166] When the diary is completed, the server notifies the user's device (smartphone or PC) that the diary has been created. The user receives this notification and knows that the diary is complete.

[0167] Step 7:

[0168] Checking the diary

[0169] Input: Notification from the user interface

[0170] Output: User confirms diary entry

[0171] Specific actions

[0172] Users can click on the notification on their device to view the diary entry, for example by opening a smartphone app and viewing the diary entry, allowing them to easily reminisce about special moments from that day.

[0173] (Application example 1)

[0174] 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."

[0175] While conventional diary generation systems using wearable devices can record changes in a user's emotions, they cannot record preferences in real time during purchasing activities in a physical store. This makes it difficult for users to look back on how they felt about which products, limiting the improvement of the purchasing experience.

[0176] 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.

[0177] In this invention, the server includes means for collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically creating a diary based on the summarized audio data, means for notifying the user of the diary, and means for displaying product information related to the emotional changes in a physical store and recording the user's preferences. This makes it possible to record and display changes in a user's emotions during purchasing activities in a physical store in real time, thereby improving the user's purchasing experience.

[0178] A "wearable device" is a device that is worn on the user's body and collects biometric data.

[0179] "Biometric data" refers to data that indicates the user's physical condition, such as pulse rate and brain waves.

[0180] "Changes in emotion" refers to fluctuations in the user's emotional state, and specifically refers to emotions such as excitement, interest, and surprise.

[0181] The "means for determining" is a device or system that has the function of analyzing the collected biometric data and identifying changes in the user's emotions.

[0182] A "recording means" is a device or system for collecting and storing a user's voice.

[0183] The "summarizing means" is a system that has the function of extracting important information from recorded audio data and converting it into compact text data.

[0184] The "means for automatically generating a diary" is a system that has the function of automatically creating diary-style records based on summarized voice data.

[0185] The "notification means" is a device or system that has the function of notifying the user of the created diary on their smartphone or PC.

[0186] "Related product information" refers to data about products in physical stores, including prices, specifications, and user reviews.

[0187] The "means for displaying in a physical store" refers to a device or system that has the function of displaying product information in a form that can be viewed by users in a physical store.

[0188] A "means for recording preferences" is a system that has the function of storing data on the feelings and interests that users have shown toward specific products.

[0189] MODE FOR CARRYING OUT THE INVENTION

[0190] The present invention relates to a system that uses a wearable device to detect changes in a user's emotions and record those moments along with related product information in order to improve the shopping experience in physical stores.

[0191] composition

[0192] 1. Wearable devices: Collect biometric data such as the user's pulse and brain waves in real time. Examples include smart bands and smart watches.

[0193] 2. Server: Receives biometric data sent from the wearable device and analyzes emotional changes. When an emotional change is detected, it displays relevant product information and records the user's preferences.

[0194] 3. Voice Recorder: Collects voice data and sends it to the server, which records the user's voice at the moment when a change in emotion is detected.

[0195] 4. Automatic summarization system: Extracts important information from received audio data and converts it into text using natural language processing techniques.

[0196] 5. Smart glasses: They capture images and videos of products in the user's field of view and transmit them to a server, thereby recording visual data related to changes in emotions.

[0197] 6. User Interface: Along with the automatically generated diary, the system notifies the user of product information related to changes in emotions. This can be done via a smartphone or PC.

[0198] Operation explanation

[0199] Data collection and emotion detection

[0200] The wearable device constantly monitors the user's biometric data and transmits the data to a server. For example, if a user's pulse rate spikes when they look at a particular product in a physical store, the server can detect this change and determine their emotional state.

[0201] Audio recording and summarization

[0202] When a change in emotion is detected, the voice recorder records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of excitement, such as "These new clothes are amazing!", can be summarized and converted into a concise text such as "I was impressed by my new clothes in the fitting room."

[0203] Automatic diary generation and notifications

[0204] The server automatically generates a diary entry based on the summarized text. If necessary, product images and videos captured by the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. Furthermore, the server provides relevant product information to the user and records their preferences for those products.

[0205] Specific examples

[0206] Imagine a user visiting a physical store and trying on new clothes, and their pulse rate suddenly rises. At this time, a wearable device detects this change and sends the data to a server. A voice recorder records the user's emotional words and sends them to the server. The server analyzes this data and automatically generates a diary entry based on the summarized text. If the user is wearing smart glasses, they also take photos and videos of the new clothes and attach them to the diary entry. The server then notifies the user of detailed product information along with the diary entry, improving the user's purchasing experience.

[0207] Prompt Sentence Examples

[0208] "Capture the moment when a user's heart rate rises when trying on new clothes in a fitting room. Automatically generate a concise diary entry based on the captured image, recorded audio, and emotional change data. Example: An entry including the excitement of a heart rate exceeding 100, an image of the moment, and the user's thoughts."

[0209] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0210] Step 1:

[0211] Biometric data is collected using wearable devices.

[0212] Input: Biometric data such as the user's pulse and brain waves.

[0213] Processing: The wearable device collects data in real time and sends it to the server.

[0214] Output: The collected biometric data is sent to the server.

[0215] Step 2:

[0216] The server determines the change in emotion.

[0217] Input: Biometric data sent from a wearable device.

[0218] Processing: The server analyzes the biometric data and identifies changes in the user's emotions. For example, if the pulse rate exceeds 100, it is determined to be "excited."

[0219] Output: Emotion change data is generated as a result of the judgment.

[0220] Step 3:

[0221] Record audio related to emotional changes.

[0222] Input: The timestamp when the emotion change was detected.

[0223] Processing: The server issues a recording instruction to the audio recording device and collects the most recent audio data.

[0224] Output: The recorded audio data is sent to the server.

[0225] Step 4:

[0226] Summarize the audio data.

[0227] Input: Recorded audio data.

[0228] Processing: The server's automatic summarization system analyzes the audio data, extracts important information, and converts it into concise text.

[0229] Output: Summarized text data is generated.

[0230] Step 5:

[0231] The server automatically generates the diary.

[0232] Input: Summarized text data, emotion change data.

[0233] Processing: The server creates a diary-style record from the summarized text data, with timestamps identifying changes in emotion.

[0234] Output: Generated diary data is produced.

[0235] Step 6:

[0236] Smart glasses are used to capture images and videos.

[0237] Input: The timestamp when the emotion change was detected.

[0238] Processing: The smart glasses capture images and videos of what is in the user's field of view and send them to a server.

[0239] Output: The captured image and video data are sent to the server.

[0240] Step 7:

[0241] Embed images and videos in your diary.

[0242] Input: Image and video data transmitted from smart glasses.

[0243] Processing: The server associates and embeds image and video data in the diary.

[0244] Output: Complete diary data with embedded images and videos is generated.

[0245] Step 8:

[0246] Providing relevant product information according to changes in emotions.

[0247] Input: Sentiment change data and a database of products in physical stores.

[0248] Processing: The server identifies relevant product information based on the change in emotion and displays it on the user interface.

[0249] Output: Product information is displayed on the user's device.

[0250] Step 9:

[0251] Record user preferences in a diary.

[0252] Input: User reaction data and emotion change data.

[0253] Processing: The server records changes in emotions and related product information in a diary based on the user's preference data.

[0254] Output: Diary data is generated with preferences recorded.

[0255] Step 10:

[0256] Notify the user of the diary.

[0257] Input: Generated diary data.

[0258] Processing: The completed diary data is notified to the user's smartphone or PC.

[0259] Output: A notification of the diary data is sent to the user's device.

[0260] 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.

[0261] The present invention relates to a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotion, and automatically records those moments as a diary.

[0262] composition

[0263] The system includes the following elements:

[0264] 1. Wearable devices: devices that collect biometric data such as pulse rate and brain waves in real time.

[0265] 2. Server: Analyzes biometric data and determines changes in emotions using an emotion engine.

[0266] 3. Emotion engine: A software module that identifies emotions based on the user's biometric data and recognizes their changes.

[0267] 4. Recording device: Collects audio data and sends it to the server.

[0268] 5. Automatic summarization system: Extracts important information from audio data and converts it into text.

[0269] 6. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[0270] 7. User interface: A function to display and notify the user of the automatically generated diary.

[0271] Operation explanation

[0272] Data collection and emotion recognition

[0273] The wearable device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can record the moment of a significant emotional reaction, such as a sudden spike in pulse rate upon encountering a particular painting in an art museum. The biometric data collected by the device is immediately sent to a server.

[0274] The server uses an emotion engine to analyze the received biometric data and determine changes in the user's emotions. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[0275] Audio recording and summarization

[0276] When a change in emotion is detected, the wearable device records the voice data at that moment. This recorded voice data is sent to a server. The server then uses an automatic summarization system to extract the key content. For example, a user's statement such as "This painting is truly amazing!" can be summarized and converted into a concise text such as "I was moved by the painting."

[0277] Automatic diary generation

[0278] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, a sentence such as "Today I was excited to see the moving paintings at the art museum."

[0279] Media Data Integration

[0280] If the smart glasses are worn, the wearable device captures images and videos of what is in the user's field of vision and sends them to a server, which then places these media data in relevant sections of the diary. For example, a photo or video of a painting that inspires the user can be added to the diary.

[0281] Diary notifications and confirmation

[0282] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to easily check the diary entry and reminisce about special moments from that day.

[0283] Specific examples

[0284] As a concrete example, consider a case where a user visits an art museum and their pulse rate spikes when they see a particular painting. At this time, the wearable device detects this pulse rate spike and sends the data to the server. The emotion engine analyzes the pulse rate spike and determines that the user is moved. At the same time, the wearable device records the user's words of emotion and sends this audio data to the server. The server analyzes the emotional changes, summarizes the audio data, and automatically generates a diary entry along with related media data. Finally, the server notifies the user that the diary entry is complete, allowing the user to easily view the completed entry.

[0285] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[0286] The processing flow will be explained below.

[0287] Step 1:

[0288] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[0289] Step 2:

[0290] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[0291] Step 3:

[0292] The server analyzes the received biometric data using an emotion engine to determine changes in emotion. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[0293] Step 4:

[0294] The device records voice data for a certain period of time immediately after detecting a change in emotion, and transmits this recorded voice data to a server.

[0295] Step 5:

[0296] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0297] Step 6:

[0298] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, it creates a sentence such as, "Today, I was excited to see a moving painting at the art museum."

[0299] Step 7:

[0300] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[0301] Step 8:

[0302] The server places the sent images and videos in the relevant parts of the diary. Specifically, photos and videos of paintings that impressed the user are attached to the diary.

[0303] Step 9:

[0304] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[0305] Step 10:

[0306] Users can check their diary entries by receiving notifications and easily reread the diary entries created using their smartphones or PCs to reminisce about special moments from that day.

[0307] Example 2

[0308] 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."

[0309] Existing systems make it difficult for users to easily record and review special moments from their daily lives. In particular, recording based on emotional changes must be done manually, which is time-consuming. It is also difficult to efficiently integrate audio and media data. This creates a need for a system that automatically records users' experiences in detail and provides easy access.

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

[0311] In this invention, the server includes means for analyzing biometric data collected by the wearable device to determine changes in emotions, means for recording audio data when an emotional change is detected, and means for converting the recorded audio data into text using an automatic summarization system, allowing users to automatically record special moments based on emotional changes in real time and easily look back on them.

[0312] A "wearable device" is a device worn by a user to collect biometric data such as pulse rate and brain waves in real time.

[0313] A "server" is a computer system that receives, analyzes, and performs various processes on biometric data sent from a wearable device.

[0314] "Biometric data" refers to information such as pulse rate and brain waves collected from the user's body, and is basic data for determining changes in emotions.

[0315] "Changes in emotion" refers to the transition of the user's emotion to a different state based on fluctuations in the collected biometric data.

[0316] "Audio data" is a digital recording of a user's speech.

[0317] An "automatic summarization system" is a software system that analyzes recorded audio data and extracts and summarizes the main content as text.

[0318] A "diary" is information in which a user's experiences and feelings based on emotional changes are recorded in text format.

[0319] "Smart glasses" are eyeglass-like devices that can be worn by a user and have the ability to capture images and videos within their field of vision.

[0320] "Media data" refers to image and video files captured by smart glasses and other devices.

[0321] "Notification" means that the server notifies the user's terminal that a diary has been created.

[0322] "User" refers to an individual who uses this system.

[0323] This invention is a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotions, and automatically records those moments in a diary. Specifically, it includes the following elements:

[0324] Hardware and Software Configuration

[0325] 1. Wearable devices

[0326] Examples: Apple Watch, Fitbit, etc.

[0327] Function: Collects biometric data such as pulse rate and brain waves in real time.

[0328] 2. Server

[0329] Function: Receives and analyzes biometric data sent from wearable devices, and uses an emotion engine to determine changes in emotions. Also analyzes recorded audio data, creates diary entries, and sends notifications.

[0330] Software examples: Affectiva's emotion engine, Google Cloud Speech-to-Text.

[0331] 3. Emotion Engine

[0332] Function: Identifies emotions based on the user's biometric data and recognizes changes in emotions.

[0333] 4. Recording Devices

[0334] Example: a smartphone.

[0335] Function: Records audio data when a change in emotion is detected and sends it to a server.

[0336] 5. Automatic Summarization System

[0337] Function: Extracts important information from recorded audio data and converts it into text.

[0338] Software example: Google Cloud Speech-to-Text.

[0339] 6. Smart glasses (optional)

[0340] Example: Google Glass.

[0341] Function: Captures images and videos within the user's field of view and sends them to a server.

[0342] 7. User Interface

[0343] Function: Display automatically generated diary entries to the user and notify them.

[0344] Specific examples

[0345] For example, if a user visits an art museum and sees a particular painting that causes a spike in their pulse rate, the system will act as follows:

[0346] 1. Data Collection:

[0347] A wearable device (e.g., Apple Watch) collects pulse data and transmits this data to a server.

[0348] 2. Data analysis and emotion determination:

[0349] The server uses Affectiva's emotion engine to analyze the pulse data and determine whether the user is emotional.

[0350] 3. Audio Recording:

[0351] The moment a change in emotion is detected, the smartphone records the user's statement, "This painting is truly amazing!", and sends it to the server.

[0352] 4. Audio Summary:

[0353] The server uses Google Cloud Speech-to-Text to convert the speech data into text, summarizing "This painting is truly amazing!" as "I was moved by the painting."

[0354] 5. Diary generation:

[0355] Based on the summarized text and the emotion assessment results, the server automatically generates a diary entry such as, "Today I was excited to see the moving paintings at the art museum."

[0356] 6. Media Data Integration:

[0357] A photo of the painting taken by smart glasses (e.g., Google Glass) is sent to the server and attached to the diary.

[0358] 7. Diary notification:

[0359] The server notifies the smartphone that the diary creation is complete, and the user receives the notification and checks the diary.

[0360] Prompt Sentence Examples

[0361] Below are some example prompts to input to a generative AI model (e.g., GPT-3):

[0362] "Automatically summarize the diary entry generated when a user was moved by a painting in an art museum and their pulse rate spiked, and output it in the following format.

[0363] Date: YYYY / MM / DD

[0364] Location: Museum

[0365] Emotion: Emotion

[0366] Article: I was excited to see some moving paintings at the art museum today. The piece by 'XX' was particularly impressive.

[0367] This prompt specifies the specific situation and output format, allowing the generative AI model to generate an appropriate diary entry.

[0368] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0369] Step 1:

[0370] Data collection

[0371] The user wears a wearable device that collects real-time biometric data (e.g., pulse rate, brainwaves, etc.) For example, when a user looks at a painting in an art museum, their pulse rate spikes.

[0372] Input: User's biometric data (pulse, brain waves, etc.)

[0373] Output: Biometric data stored in a wearable device

[0374] Step 2:

[0375] Data transmission

[0376] The terminal (wearable device) immediately transmits the collected biometric data to a server, using Bluetooth or Wi-Fi for data communication.

[0377] Input: Biometric data collected from wearable devices

[0378] Output: Biometric data sent to the server

[0379] Step 3:

[0380] Data analysis

[0381] The server analyzes the received biometric data, for example, analyzing the user's pulse data to detect deviations from normal values.

[0382] Input: Biometric data sent to the server

[0383] Output: Analysis results (e.g., sudden increase in pulse rate)

[0384] Step 4:

[0385] emotion judgment

[0386] The server uses the emotion engine to determine changes in emotions based on the analysis results. For example, if the pulse rate suddenly increases, the emotion engine will determine this as "excitement" or "emotion."

[0387] Input: Analysis results (e.g., sudden increase in pulse rate)

[0388] Output: Emotional judgment result (e.g. excitement, emotion)

[0389] Step 5:

[0390] Audio recording

[0391] When a change in emotion is detected, the device records the audio at that moment. For example, if the user says, "This painting is so beautiful!", the audio data will be recorded.

[0392] Input: Emotion determination result (e.g., excitement, emotion)

[0393] Output: Recorded audio data

[0394] Step 6:

[0395] Audio Summary

[0396] The recorded voice data is sent to a server, which then converts the voice data into text using an automatic summarization system. For example, the voice data "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0397] Input: Recorded audio data

[0398] Output: Summarized text data

[0399] Step 7:

[0400] diary generation

[0401] The server automatically generates a diary entry based on the summarized text data, the analysis of biometric data, and the emotion determination results. For example, a sentence such as "Today I was excited to see a moving painting at the art museum."

[0402] Input: Summarized text data, biometric data analysis results, emotion determination results

[0403] Output: Auto-generated diary entry

[0404] Step 8:

[0405] Media Data Integration

[0406] When the smart glasses are worn, they capture images and videos of the user's field of vision and send them to a server, which then places them in the appropriate section of the diary. For example, a photo of a painting that moved the user might be attached to the diary.

[0407] Input: Image and video data captured by smart glasses

[0408] Output: Diary entries with integrated image and video data

[0409] Step 9:

[0410] Diary notification and display

[0411] Once the diary entry is complete, the server sends a notification of the entry to the user's smartphone or PC. The user receives the notification and can check the entry.

[0412] Input: Auto-generated diary entry

[0413] Output: Notifications and diary entries on the user's device

[0414] (Application example 2)

[0415] 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."

[0416] The problems with systems that can accurately grasp changes in people's emotions and automatically recommend personalized content based on them are that they require cumbersome manual configuration and detailed log management. Furthermore, there are not enough methods to automatically record intimate moments and special feelings and look back on them as a diary. Furthermore, there are many technical challenges to implementing such emotion-based content recommendation systems.

[0417] The identification process by the identification 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 collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically generating a diary based on the summarized audio data, means for using the automatically generated diary to recommend personalized content, and means for notifying the user of the personalized content. This makes it possible to accurately capture changes in the user's emotions and automatically recommend individual content based on the results. Furthermore, by automatically recording emotional moments as a diary, it becomes possible to look back on special moments.

[0418] A "wearable device" is a device that collects biometric data such as pulse rate and brain waves in real time and transmits it to a server.

[0419] "Changes in emotion" refers to changes in the user's emotional state determined by analyzing biological data such as pulse rate and brain waves.

[0420] The "means for recording and summarizing audio" refers to a means in which the wearable device records audio data the moment a change in emotion is detected, and the server analyzes the audio data to extract important information and convert it into concise text.

[0421] The "means for automatically generating a diary" is a system that automatically generates text about a user's special moments based on summarized voice data and emotion assessment results.

[0422] The "means used for personalized content recommendation" is a system that selects and recommends individually appropriate content to users based on the contents of the generated diary and the user's emotional data.

[0423] The "notification means" is a means for notifying the user by sending information about the created diary entry or recommended content to the user's smartphone or tablet.

[0424] A specific embodiment for carrying out the present invention is described below. This embodiment includes the configuration and operation of a specific wearable device, server, and software.

[0425] Data collection and emotion recognition

[0426] Wearable devices collect the user's biometric data (e.g., pulse rate and brain waves) in real time. Specifically, they use pulse sensors and brain wave sensors to monitor changes in the user's emotions and send the data to a server.

[0427] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library), and then determines the user's emotional changes using an emotion engine (e.g., EmotionEngine library).

[0428] Audio recording and summarization

[0429] When a change in emotion is detected, the wearable device records and transmits the audio data to a server, where it is analyzed using the AutoSummary library to extract key information and convert it into concise text.

[0430] Automatic diary generation

[0431] The server automatically generates a draft diary entry based on the summarized text and the emotion determined by the emotion engine. This diary entry contains content such as "I was moved by the climax scene of the movie today." This process is carried out using a content management system.

[0432] Content recommendations

[0433] Based on the generated diary entries and the user's emotional data, personalized content is recommended. For example, new movies or songs are recommended based on past viewing history and emotional data. This system utilizes an AI model and a recommendation engine. The following is an example of a prompt:

[0434] "Recommend new movies that contain elements of movies that have moved the user in the past. Analyze collected biometric and audio data to identify moving moments, and use associated text data and emotion assessment results."

[0435] Notification and confirmation

[0436] Once the diary entry is complete, the server sends a notification to the user's smartphone or tablet. The user can then review the diary entry and reminisce about special moments from that day. The notification also includes personalized content recommendations.

[0437] Specific examples

[0438] For example, consider the case where a user encounters a moving scene while watching a movie and their pulse rate suddenly rises. At this time, the wearable device detects the sudden rise in pulse rate and sends the data to the server. The server uses an emotion engine to determine the change in emotion and records and summarizes the audio data. Next, a diary entry is generated based on this data, and recommendations for content related to the diary entry are sent to the user's smartphone.

[0439] This allows users to relive special moments and enjoy new emotionally-driven content.

[0440] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0441] Step 1: Collect data

[0442] The wearable device collects the user's biometric data (pulse rate and brain waves) in real time. The collected biometric data is stored in the wearable device's internal memory from the sensor and then periodically sent to a server. The input is the user's pulse rate and brain wave data, and the output is the biometric data sent to the server.

[0443] Step 2: Analyze the data

[0444] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library). This analysis extracts pulse rate fluctuations and brain wave patterns. The input is the biometric data sent from the wearable device, and the output is the analyzed data. Specifically, this includes pulse rate spikes and specific brain wave patterns.

[0445] Step 3: Determine the emotion

[0446] The server analyzes the analyzed biometric data using an emotion engine (e.g., EmotionEngine library) to determine changes in the user's emotions. The input is the analyzed biometric data, and the output is a judgment result indicating changes in emotions. A specific example of the operation is determining a sudden increase in pulse rate as "joy."

[0447] Step 4: Recording audio data

[0448] When a change in emotion is detected, the wearable device records the audio data at that moment, which is then sent to a server. The input is the specific emotion change and its timing, and the output is the recorded audio data.

[0449] Step 5: Summarizing the audio data

[0450] The server analyzes the recorded audio data using the AutoSummary library, extracts important information, and converts it into short text. The input is the recorded audio data, and the output is the summarized text. Specifically, it summarizes the user's words, "This movie is really great!", as "I was moved by the movie."

[0451] Step 6: Automatic generation of diary entries

[0452] The server automatically generates a diary entry based on the summarized text and the emotion determination results from the emotion engine. A text generation algorithm is used for the specific generation. The input is the summarized text and the emotion determination results, and the output is the automatically generated diary entry text. For example, a diary entry such as "Today I was moved by the climax scene of the movie" is generated.

[0453] Step 7: Content Recommendations

[0454] The server recommends personalized content based on the generated diary content and the user's emotional data. Utilizing an AI model and recommendation engine, it can recommend new movies, for example, based on past viewing history and emotional moments. The input is the generated diary and emotional data, and the output is the recommended content.

[0455] Step 8: Notification and confirmation

[0456] When the diary generation is complete, the server sends a notification to the user's smartphone or tablet. The user can then check the generated diary, reminisce about special moments from that day, and view recommended content. The input is the notification information that the diary has been generated, and the output is a notification displayed on the user's device.

[0457] Through these steps, it becomes possible to accurately capture changes in a user's emotions and automatically recommend individual content based on the results. It also makes it possible to automatically record emotional moments as a diary, allowing users to look back on special moments.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] [Second embodiment]

[0462] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0463] 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.

[0464] 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).

[0465] 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.

[0466] 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.

[0467] 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).

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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.

[0472] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0473] 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."

[0474] The present invention relates to a system that uses a wearable device to automatically detect changes in a user's emotions and record those moments in a diary.

[0475] composition

[0476] The system includes the following elements:

[0477] 1. Wearable devices: Collect biometric data such as pulse rate and brain waves.

[0478] 2. Server: Analyzes biometric data and detects changes in emotions.

[0479] 3. Recording device: Collects audio data and sends it to the server.

[0480] 4. Automatic summarization system: Extracts important information from audio data and converts it into text.

[0481] 5. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[0482] 6. User interface: displays the diary and notifies the user.

[0483] Operation explanation

[0484] Data collection and emotion detection

[0485] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0486] Audio recording and summarization

[0487] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0488] Automatic diary generation

[0489] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0490] Diary notifications and confirmation

[0491] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0492] Specific examples

[0493] As a practical example, consider the case where a user visits an art museum and experiences a sudden increase in pulse rate upon viewing a particular painting. At this time, the wearable device detects this sudden increase in pulse rate and sends the data to a server. At the same time, the wearable device records the user's emotional words and sends these to the server. The server analyzes these emotional changes and automatically generates a diary entry along with a summarized text. If the user is wearing smart glasses, photos and videos of the painting are also taken and attached to the diary entry. The server then notifies the user that the diary entry is complete, allowing the user to easily check the completed entry.

[0494] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[0495] The processing flow will be explained below.

[0496] Step 1:

[0497] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[0498] Step 2:

[0499] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[0500] Step 3:

[0501] The device records audio data for a certain period of time immediately after detecting a change in emotion, and then transmits this audio data to a server.

[0502] Step 4:

[0503] The server analyzes the received biometric data and voice data, and determines that the user is emotional.

[0504] Step 5:

[0505] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0506] Step 6:

[0507] The server automatically generates a draft diary entry based on the summarized text and associated metadata, such as a sentence like "Today I saw a moving painting at the art museum."

[0508] Step 7:

[0509] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[0510] Step 8:

[0511] The server places the sent images and videos in the relevant parts of the diary, specifically attaching "photos of paintings that moved you" to the diary.

[0512] Step 9:

[0513] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[0514] Step 10:

[0515] Users can check their diary entries by receiving notifications and easily reread the diary entries created on their smartphones or PCs to relive special moments from that day.

[0516] Example 1

[0517] 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."

[0518] With conventional manual diary recording methods, users often forget to record special moments in their daily lives, which is time-consuming. It is also difficult to integrate various information, such as biometric data and voice data, to create a diary based on emotional changes. Therefore, there is a need for a system that can appropriately record changes in a user's emotions and easily review them later.

[0519] 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.

[0520] In this invention, the server includes means for collecting biometric data, means for analyzing the biometric data and detecting changes in emotions, means for recording voice data when a change in emotion is detected and transmitting the voice data to the server, means for summarizing the voice data and converting it into concise text on the server, means for automatically generating a diary based on the summarized text, and means for notifying the user of the generated diary. This allows the user to automatically and effortlessly create a diary based on changes in emotions, and easily record and look back on special moments.

[0521] "Biometric data" refers to physiological information such as the user's pulse rate and brain waves.

[0522] "Changes in emotion" refers to a phenomenon that indicates the moment when a user's emotions change significantly.

[0523] "Voice data" refers to voice information such as what the user says when a change in emotion is detected.

[0524] "Summarization" refers to extracting important information from audio data and converting it into concise text.

[0525] A "diary" refers to a record that includes text, images, and videos that record the user's emotional changes and related events.

[0526] "Notification" refers to a message sent from the server to the user's terminal informing them that a diary entry has been created.

[0527] "Server" refers to a central computer system that analyzes and processes data.

[0528] A "wearable device" is a device that can be worn by a user and collects biometric and audio data.

[0529] "Automatic generation" refers to creating a diary without human intervention based on a program algorithm.

[0530] "Smart glasses" refers to eyeglass-type imaging devices that users can wear to take images and videos.

[0531] The present invention relates to a system for monitoring changes in a user's emotions and automatically recording the same as a diary. Specific embodiments for carrying out the present invention will be described below.

[0532] composition

[0533] The system includes the following elements:

[0534] 1. Wearable devices

[0535] It collects biometric data such as the user's pulse and brain waves in real time.

[0536] Examples include smartwatches and EEG headsets.

[0537] 2. Server

[0538] Analyze biometric data to detect changes in emotions.

[0539] Summarize audio data and automatically generate a diary.

[0540] For example, a high-performance cloud server is used.

[0541] 3. Recording equipment

[0542] Voice data is collected at the moment a change in emotion is detected and sent to the server.

[0543] For example, voice recognition devices and smart speakers fall into this category.

[0544] 4. Automatic Summarization System

[0545] Extract important information from audio data and convert it into concise text.

[0546] For example, this includes software that uses natural language processing technology.

[0547] 5. Smart glasses (optional)

[0548] It takes pictures and videos within the user's field of vision and sends them to the server.

[0549] For example, augmented reality (AR) glasses with camera functionality are included.

[0550] 6. User Interface

[0551] Display the diary and notify the user.

[0552] For example, applications for smartphones and tablets are used.

[0553] Operation explanation

[0554] Data collection and emotion detection

[0555] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0556] Audio recording and summarization

[0557] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0558] Automatic diary generation

[0559] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0560] Diary notifications and confirmation

[0561] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0562] Specific examples

[0563] As a practical example, consider the case where a user visits an art museum and sees a particular painting, causing their pulse rate to spike. At this time, the wearable device detects this spike and sends the data to the server. At the same time, the user's words of appreciation, such as "This painting is truly amazing!", are recorded by the recording device and sent to the server.

[0564] The server analyzes the received pulse data and detects changes in emotions. It then runs the audio data through an automatic summarization system, generating text such as "I saw a moving painting at the art museum." The server combines this text with an image of the painting captured by the smart glasses to create a diary entry, and sends a notification to the user's device indicating that the diary entry has been created. The user can easily reminisce about special moments from that day by clicking the notification and viewing the created diary entry.

[0565] Prompt Sentence Examples

[0566] "Enter the following prompt into the generative AI model: 'Summarize the voice data when changes in emotion are detected and generate a diary. As a concrete example, we will provide voice data and pulse rate data from when the user saw a painting that moved them in an art museum.'"

[0567] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0568] Step 1:

[0569] Data collection

[0570] Input: User's biometric data such as pulse rate and brain waves

[0571] Output: Sending biometric data to the server

[0572] Specific actions

[0573] Wearable devices measure the user's pulse and brain waves in real time and collect biometric data. The collected data is sent to a server via wireless communication. For example, a wearable device can monitor the user's pulse in real time while they are viewing a particular painting in an art museum, and send the data to a server.

[0574] Step 2:

[0575] Emotion detection

[0576] Input: Biometric data sent to the server

[0577] Output: Flag indicating change in emotion

[0578] Specific actions

[0579] The server analyzes the received biometric data and uses a specific algorithm to detect changes in emotions. For example, if the pulse rate rises above a certain threshold, it recognizes this as a change in emotion. A flag indicating a change in emotion is then raised, and the system proceeds to the next processing step.

[0580] Step 3:

[0581] Recording and transmitting audio data

[0582] Input: Flag indicating change in emotion

[0583] Output: Sending recorded audio data to the server

[0584] Specific actions

[0585] When a flag indicating a change in emotion is raised, the wearable device or recording device will record the most recent voice data. The recorded voice data will be sent to the server. For example, the user's voice saying, "This painting is really amazing!" will be recorded.

[0586] Step 4:

[0587] Summarizing audio data

[0588] Input: Audio data sent to the server

[0589] Output: Summarized text

[0590] Specific actions

[0591] The server then runs the received audio data through an automatic summarization system, extracting key information and converting it into concise text. Using a generative AI model, the server analyzes the audio data, such as "This painting is truly amazing!", and generates the summary text, "I saw a moving painting at the art museum."

[0592] Step 5:

[0593] Diary generation

[0594] Input: Summarized text, images and videos taken with smart glasses (optional)

[0595] Output: Generated diary

[0596] Specific actions

[0597] The server uses the summarized text to create a draft diary entry, and simultaneously completes the diary entry by placing any images or videos taken with the smart glasses in relevant places. For example, an image of a painting that moved the user can be attached to the diary entry.

[0598] Step 6:

[0599] Diary notifications

[0600] Input: Generated diary

[0601] Output: Notification to the user interface

[0602] Specific actions

[0603] When the diary is completed, the server notifies the user's device (smartphone or PC) that the diary has been created. The user receives this notification and knows that the diary is complete.

[0604] Step 7:

[0605] Checking the diary

[0606] Input: Notification from the user interface

[0607] Output: User confirms diary entry

[0608] Specific actions

[0609] Users can click on the notification on their device to view the diary entry, for example by opening a smartphone app and viewing the diary entry, allowing them to easily reminisce about special moments from that day.

[0610] (Application example 1)

[0611] 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."

[0612] While conventional diary generation systems using wearable devices can record changes in a user's emotions, they cannot record preferences in real time during purchasing activities in a physical store. This makes it difficult for users to look back on how they felt about which products, limiting the improvement of the purchasing experience.

[0613] 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.

[0614] In this invention, the server includes means for collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically creating a diary based on the summarized audio data, means for notifying the user of the diary, and means for displaying product information related to the emotional changes in a physical store and recording the user's preferences. This makes it possible to record and display changes in a user's emotions during purchasing activities in a physical store in real time, thereby improving the user's purchasing experience.

[0615] A "wearable device" is a device that is worn on the user's body and collects biometric data.

[0616] "Biometric data" refers to data that indicates the user's physical condition, such as pulse rate and brain waves.

[0617] "Changes in emotion" refers to fluctuations in the user's emotional state, and specifically refers to emotions such as excitement, interest, and surprise.

[0618] The "means for determining" is a device or system that has the function of analyzing the collected biometric data and identifying changes in the user's emotions.

[0619] A "recording means" is a device or system for collecting and storing a user's voice.

[0620] The "summarizing means" is a system that has the function of extracting important information from recorded audio data and converting it into compact text data.

[0621] The "means for automatically generating a diary" is a system that has the function of automatically creating diary-style records based on summarized voice data.

[0622] The "notification means" is a device or system that has the function of notifying the user of the created diary on their smartphone or PC.

[0623] "Related product information" refers to data about products in physical stores, including prices, specifications, and user reviews.

[0624] The "means for displaying in a physical store" refers to a device or system that has the function of displaying product information in a form that can be viewed by users in a physical store.

[0625] A "means for recording preferences" is a system that has the function of storing data on the feelings and interests that users have shown toward specific products.

[0626] MODE FOR CARRYING OUT THE INVENTION

[0627] The present invention relates to a system that uses a wearable device to detect changes in a user's emotions and record those moments along with related product information in order to improve the shopping experience in physical stores.

[0628] composition

[0629] 1. Wearable devices: Collect biometric data such as the user's pulse and brain waves in real time. Examples include smart bands and smart watches.

[0630] 2. Server: Receives biometric data sent from the wearable device and analyzes emotional changes. When an emotional change is detected, it displays relevant product information and records the user's preferences.

[0631] 3. Voice Recorder: Collects voice data and sends it to the server, which records the user's voice at the moment when a change in emotion is detected.

[0632] 4. Automatic summarization system: Extracts important information from received audio data and converts it into text using natural language processing techniques.

[0633] 5. Smart glasses: They capture images and videos of products in the user's field of view and transmit them to a server, thereby recording visual data related to changes in emotions.

[0634] 6. User Interface: Along with the automatically generated diary, the system notifies the user of product information related to changes in emotions. This can be done via a smartphone or PC.

[0635] Operation explanation

[0636] Data collection and emotion detection

[0637] The wearable device constantly monitors the user's biometric data and transmits the data to a server. For example, if a user's pulse rate spikes when they look at a particular product in a physical store, the server can detect this change and determine their emotional state.

[0638] Audio recording and summarization

[0639] When a change in emotion is detected, the voice recorder records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of excitement, such as "These new clothes are amazing!", can be summarized and converted into a concise text such as "I was impressed by my new clothes in the fitting room."

[0640] Automatic diary generation and notifications

[0641] The server automatically generates a diary entry based on the summarized text. If necessary, product images and videos captured by the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. Furthermore, the server provides relevant product information to the user and records their preferences for those products.

[0642] Specific examples

[0643] Imagine a user visiting a physical store and trying on new clothes, and their pulse rate suddenly rises. At this time, a wearable device detects this change and sends the data to a server. A voice recorder records the user's emotional words and sends them to the server. The server analyzes this data and automatically generates a diary entry based on the summarized text. If the user is wearing smart glasses, they also take photos and videos of the new clothes and attach them to the diary entry. The server then notifies the user of detailed product information along with the diary entry, improving the user's purchasing experience.

[0644] Prompt Sentence Examples

[0645] "Capture the moment when a user's heart rate rises when trying on new clothes in a fitting room. Automatically generate a concise diary entry based on the captured image, recorded audio, and emotional change data. Example: An entry including the excitement of a heart rate exceeding 100, an image of the moment, and the user's thoughts."

[0646] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0647] Step 1:

[0648] Biometric data is collected using wearable devices.

[0649] Input: Biometric data such as the user's pulse and brain waves.

[0650] Processing: The wearable device collects data in real time and sends it to the server.

[0651] Output: The collected biometric data is sent to the server.

[0652] Step 2:

[0653] The server determines the change in emotion.

[0654] Input: Biometric data sent from a wearable device.

[0655] Processing: The server analyzes the biometric data and identifies changes in the user's emotions. For example, if the pulse rate exceeds 100, it is determined to be "excited."

[0656] Output: Emotion change data is generated as a result of the judgment.

[0657] Step 3:

[0658] Record audio related to emotional changes.

[0659] Input: The timestamp when the emotion change was detected.

[0660] Processing: The server issues a recording instruction to the audio recording device and collects the most recent audio data.

[0661] Output: The recorded audio data is sent to the server.

[0662] Step 4:

[0663] Summarize the audio data.

[0664] Input: Recorded audio data.

[0665] Processing: The server's automatic summarization system analyzes the audio data, extracts important information, and converts it into concise text.

[0666] Output: Summarized text data is generated.

[0667] Step 5:

[0668] The server automatically generates the diary.

[0669] Input: Summarized text data, emotion change data.

[0670] Processing: The server creates a diary-style record from the summarized text data, with timestamps identifying changes in emotion.

[0671] Output: Generated diary data is produced.

[0672] Step 6:

[0673] Smart glasses are used to capture images and videos.

[0674] Input: The timestamp when the emotion change was detected.

[0675] Processing: The smart glasses capture images and videos of what is in the user's field of view and send them to a server.

[0676] Output: The captured image and video data are sent to the server.

[0677] Step 7:

[0678] Embed images and videos in your diary.

[0679] Input: Image and video data transmitted from smart glasses.

[0680] Processing: The server associates and embeds image and video data in the diary.

[0681] Output: Complete diary data with embedded images and videos is generated.

[0682] Step 8:

[0683] Providing relevant product information according to changes in emotions.

[0684] Input: Sentiment change data and a database of products in physical stores.

[0685] Processing: The server identifies relevant product information based on the change in emotion and displays it on the user interface.

[0686] Output: Product information is displayed on the user's device.

[0687] Step 9:

[0688] Record user preferences in a diary.

[0689] Input: User reaction data and emotion change data.

[0690] Processing: The server records changes in emotions and related product information in a diary based on the user's preference data.

[0691] Output: Diary data is generated with preferences recorded.

[0692] Step 10:

[0693] Notify the user of the diary.

[0694] Input: Generated diary data.

[0695] Processing: The completed diary data is notified to the user's smartphone or PC.

[0696] Output: A notification of the diary data is sent to the user's device.

[0697] 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.

[0698] The present invention relates to a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotion, and automatically records those moments as a diary.

[0699] composition

[0700] The system includes the following elements:

[0701] 1. Wearable devices: devices that collect biometric data such as pulse rate and brain waves in real time.

[0702] 2. Server: Analyzes biometric data and determines changes in emotions using an emotion engine.

[0703] 3. Emotion engine: A software module that identifies emotions based on the user's biometric data and recognizes their changes.

[0704] 4. Recording device: Collects audio data and sends it to the server.

[0705] 5. Automatic summarization system: Extracts important information from audio data and converts it into text.

[0706] 6. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[0707] 7. User interface: A function to display and notify the user of the automatically generated diary.

[0708] Operation explanation

[0709] Data collection and emotion recognition

[0710] The wearable device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can record the moment of a significant emotional reaction, such as a sudden spike in pulse rate upon encountering a particular painting in an art museum. The biometric data collected by the device is immediately sent to a server.

[0711] The server uses an emotion engine to analyze the received biometric data and determine changes in the user's emotions. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[0712] Audio recording and summarization

[0713] When a change in emotion is detected, the wearable device records the voice data at that moment. This recorded voice data is sent to a server. The server then uses an automatic summarization system to extract the key content. For example, a user's statement such as "This painting is truly amazing!" can be summarized and converted into a concise text such as "I was moved by the painting."

[0714] Automatic diary generation

[0715] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, a sentence such as "Today I was excited to see the moving paintings at the art museum."

[0716] Media Data Integration

[0717] If the smart glasses are worn, the wearable device captures images and videos of what is in the user's field of vision and sends them to the server, which then places these media data in the relevant parts of the diary. For example, a photo or video of a painting that inspires the user can be pasted into the diary.

[0718] Diary notifications and confirmation

[0719] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to easily check the diary entry and reminisce about special moments from that day.

[0720] Specific examples

[0721] As a concrete example, consider a case where a user visits an art museum and their pulse rate spikes when they see a particular painting. At this time, the wearable device detects this pulse rate spike and sends the data to the server. The emotion engine analyzes the pulse rate spike and determines that the user is moved. At the same time, the wearable device records the user's words of emotion and sends this audio data to the server. The server analyzes the emotional changes, summarizes the audio data, and automatically generates a diary entry along with related media data. Finally, the server notifies the user that the diary entry is complete, allowing the user to easily view the completed entry.

[0722] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[0723] The processing flow will be explained below.

[0724] Step 1:

[0725] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[0726] Step 2:

[0727] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[0728] Step 3:

[0729] The server analyzes the received biometric data using an emotion engine to determine changes in emotion. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[0730] Step 4:

[0731] The device records voice data for a certain period of time immediately after detecting a change in emotion, and transmits this recorded voice data to a server.

[0732] Step 5:

[0733] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0734] Step 6:

[0735] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, it creates a sentence such as, "Today, I was excited to see a moving painting at the art museum."

[0736] Step 7:

[0737] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[0738] Step 8:

[0739] The server places the sent images and videos in the relevant parts of the diary. Specifically, photos and videos of paintings that impressed the user are attached to the diary.

[0740] Step 9:

[0741] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[0742] Step 10:

[0743] Users can check their diary entries by receiving notifications and easily reread the diary entries created using their smartphones or PCs to reminisce about special moments from that day.

[0744] Example 2

[0745] 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."

[0746] Existing systems make it difficult for users to easily record and review special moments from their daily lives. In particular, recording based on emotional changes must be done manually, which is time-consuming. It is also difficult to efficiently integrate audio and media data. This creates a need for a system that automatically records users' experiences in detail and provides easy access.

[0747] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0748] In this invention, the server includes means for analyzing biometric data collected by the wearable device to determine changes in emotions, means for recording audio data when an emotional change is detected, and means for converting the recorded audio data into text using an automatic summarization system, allowing users to automatically record special moments based on emotional changes in real time and easily look back on them.

[0749] A "wearable device" is a device worn by a user to collect biometric data such as pulse rate and brain waves in real time.

[0750] A "server" is a computer system that receives, analyzes, and performs various processes on biometric data sent from a wearable device.

[0751] "Biometric data" refers to information such as pulse rate and brain waves collected from the user's body, and is basic data for determining changes in emotions.

[0752] "Changes in emotion" refers to the transition of the user's emotion to a different state based on fluctuations in the collected biometric data.

[0753] "Audio data" is a digital recording of a user's speech.

[0754] An "automatic summarization system" is a software system that analyzes recorded audio data and extracts and summarizes the main content as text.

[0755] A "diary" is information in which a user's experiences and feelings based on emotional changes are recorded in text format.

[0756] "Smart glasses" are eyeglass-like devices that can be worn by a user and have the ability to capture images and videos within their field of vision.

[0757] "Media data" refers to image and video files captured by smart glasses and other devices.

[0758] "Notification" means that the server notifies the user's terminal that a diary has been created.

[0759] "User" refers to an individual who uses this system.

[0760] This invention is a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotions, and automatically records those moments in a diary. Specifically, it includes the following elements:

[0761] Hardware and Software Configuration

[0762] 1. Wearable devices

[0763] Examples: Apple Watch, Fitbit, etc.

[0764] Function: Collects biometric data such as pulse rate and brain waves in real time.

[0765] 2. Server

[0766] Function: Receives and analyzes biometric data sent from wearable devices, and uses an emotion engine to determine changes in emotions. Also analyzes recorded audio data, creates diary entries, and sends notifications.

[0767] Software examples: Affectiva's emotion engine, Google Cloud Speech-to-Text.

[0768] 3. Emotion Engine

[0769] Function: Identifies emotions based on the user's biometric data and recognizes changes in emotions.

[0770] 4. Recording Devices

[0771] Example: a smartphone.

[0772] Function: Records audio data when a change in emotion is detected and sends it to a server.

[0773] 5. Automatic Summarization System

[0774] Function: Extracts important information from recorded audio data and converts it into text.

[0775] Software example: Google Cloud Speech-to-Text.

[0776] 6. Smart glasses (optional)

[0777] Example: Google Glass.

[0778] Function: Captures images and videos within the user's field of view and sends them to a server.

[0779] 7. User Interface

[0780] Function: Display automatically generated diary entries to the user and notify them.

[0781] Specific examples

[0782] For example, if a user visits an art museum and sees a particular painting that causes a spike in their pulse rate, the system will act as follows:

[0783] 1. Data Collection:

[0784] A wearable device (e.g., Apple Watch) collects pulse data and transmits this data to a server.

[0785] 2. Data analysis and emotion determination:

[0786] The server uses Affectiva's emotion engine to analyze the pulse data and determine whether the user is emotional.

[0787] 3. Audio Recording:

[0788] The moment a change in emotion is detected, the smartphone records the user's statement, "This painting is truly amazing!", and sends it to the server.

[0789] 4. Audio Summary:

[0790] The server uses Google Cloud Speech-to-Text to convert the speech data into text, summarizing "This painting is truly amazing!" as "I was moved by the painting."

[0791] 5. Diary generation:

[0792] Based on the summarized text and the emotion assessment results, the server automatically generates a diary entry such as, "Today I was excited to see the moving paintings at the art museum."

[0793] 6. Media Data Integration:

[0794] A photo of the painting taken by smart glasses (e.g., Google Glass) is sent to the server and attached to the diary.

[0795] 7. Diary notification:

[0796] The server notifies the smartphone that the diary creation is complete, and the user receives the notification and checks the diary.

[0797] Prompt Sentence Examples

[0798] Below are some example prompts to input to a generative AI model (e.g., GPT-3):

[0799] "Automatically summarize the diary entry generated when a user was moved by a painting in an art museum and their pulse rate spiked, and output it in the following format.

[0800] Date: YYYY / MM / DD

[0801] Location: Museum

[0802] Emotion: Emotion

[0803] Article: I was excited to see some moving paintings at the art museum today. The piece by 'XX' was particularly impressive.

[0804] This prompt specifies the specific situation and output format, allowing the generative AI model to generate an appropriate diary entry.

[0805] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0806] Step 1:

[0807] Data collection

[0808] The user wears a wearable device that collects real-time biometric data (e.g., pulse rate, brainwaves, etc.) For example, when a user looks at a painting in an art museum, their pulse rate spikes.

[0809] Input: User's biometric data (pulse, brain waves, etc.)

[0810] Output: Biometric data stored in a wearable device

[0811] Step 2:

[0812] Data transmission

[0813] The terminal (wearable device) immediately transmits the collected biometric data to a server, using Bluetooth or Wi-Fi for data communication.

[0814] Input: Biometric data collected from wearable devices

[0815] Output: Biometric data sent to the server

[0816] Step 3:

[0817] Data analysis

[0818] The server analyzes the received biometric data, for example, analyzing the user's pulse data to detect deviations from normal values.

[0819] Input: Biometric data sent to the server

[0820] Output: Analysis results (e.g., sudden increase in pulse rate)

[0821] Step 4:

[0822] emotion judgment

[0823] The server uses the emotion engine to determine changes in emotions based on the analysis results. For example, if the pulse rate suddenly increases, the emotion engine will determine this as "excitement" or "emotion."

[0824] Input: Analysis results (e.g., sudden increase in pulse rate)

[0825] Output: Emotional judgment result (e.g. excitement, emotion)

[0826] Step 5:

[0827] Audio recording

[0828] When a change in emotion is detected, the device records the audio at that moment. For example, if the user says, "This painting is so beautiful!", the audio data will be recorded.

[0829] Input: Emotion determination result (e.g., excitement, emotion)

[0830] Output: Recorded audio data

[0831] Step 6:

[0832] Audio Summary

[0833] The recorded voice data is sent to a server, which then converts the voice data into text using an automatic summarization system. For example, the voice data "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0834] Input: Recorded audio data

[0835] Output: Summarized text data

[0836] Step 7:

[0837] diary generation

[0838] The server automatically generates a diary entry based on the summarized text data, the analysis of biometric data, and the emotion determination results. For example, a sentence such as "Today I was excited to see a moving painting at the art museum."

[0839] Input: Summarized text data, biometric data analysis results, emotion determination results

[0840] Output: Auto-generated diary entry

[0841] Step 8:

[0842] Media Data Integration

[0843] When the smart glasses are worn, they capture images and videos of the user's field of vision and send them to a server, which then places them in the appropriate section of the diary. For example, a photo of a painting that moved the user might be attached to the diary.

[0844] Input: Image and video data captured by smart glasses

[0845] Output: Diary entries with integrated image and video data

[0846] Step 9:

[0847] Diary notification and display

[0848] Once the diary entry is complete, the server sends a notification of the entry to the user's smartphone or PC. The user receives the notification and can check the entry.

[0849] Input: Auto-generated diary entry

[0850] Output: Notifications and diary entries on the user's device

[0851] (Application example 2)

[0852] 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."

[0853] The problems with systems that can accurately grasp changes in people's emotions and automatically recommend personalized content based on them are that they require cumbersome manual configuration and detailed log management. Furthermore, there are not enough methods to automatically record intimate moments and special feelings and look back on them as a diary. Furthermore, there are many technical challenges to implementing such emotion-based content recommendation systems.

[0854] The identification process by the identification 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 collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically generating a diary based on the summarized audio data, means for using the automatically generated diary to recommend personalized content, and means for notifying the user of the personalized content. This makes it possible to accurately capture changes in the user's emotions and automatically recommend individual content based on the results. Furthermore, by automatically recording emotional moments as a diary, it becomes possible to look back on special moments.

[0855] A "wearable device" is a device that collects biometric data such as pulse rate and brain waves in real time and transmits it to a server.

[0856] "Changes in emotion" refers to changes in the user's emotional state determined by analyzing biological data such as pulse rate and brain waves.

[0857] The "means for recording and summarizing audio" refers to a means in which the wearable device records audio data the moment a change in emotion is detected, and the server analyzes the audio data to extract important information and convert it into concise text.

[0858] The "means for automatically generating a diary" is a system that automatically generates text about a user's special moments based on summarized voice data and emotion assessment results.

[0859] The "means used for personalized content recommendation" is a system that selects and recommends individually appropriate content to users based on the contents of the generated diary and the user's emotional data.

[0860] The "notification means" is a means for notifying the user by sending information about the created diary entry or recommended content to the user's smartphone or tablet.

[0861] A specific embodiment for carrying out the present invention is described below. This embodiment includes the configuration and operation of a specific wearable device, server, and software.

[0862] Data collection and emotion recognition

[0863] Wearable devices collect the user's biometric data (e.g., pulse rate and brain waves) in real time. Specifically, they use pulse sensors and brain wave sensors to monitor changes in the user's emotions and send the data to a server.

[0864] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library), and then determines the user's emotional changes using an emotion engine (e.g., EmotionEngine library).

[0865] Audio recording and summarization

[0866] When a change in emotion is detected, the wearable device records and transmits the audio data to a server, where it is analyzed using the AutoSummary library to extract key information and convert it into concise text.

[0867] Automatic diary generation

[0868] The server automatically generates a draft diary entry based on the summarized text and the emotion determined by the emotion engine. This diary entry contains content such as "I was moved by the climax scene of the movie today." This process is carried out using a content management system.

[0869] Content recommendations

[0870] Based on the generated diary entries and the user's emotional data, personalized content is recommended. For example, new movies or songs are recommended based on past viewing history and emotional data. This system utilizes an AI model and a recommendation engine. The following is an example of a prompt:

[0871] "Recommend new movies that contain elements of movies that have moved the user in the past. Analyze collected biometric and audio data to identify moving moments, and use associated text data and emotion assessment results."

[0872] Notification and confirmation

[0873] Once the diary entry is complete, the server sends a notification to the user's smartphone or tablet. The user can then review the diary entry and reminisce about special moments from that day. The notification also includes personalized content recommendations.

[0874] Specific examples

[0875] For example, consider the case where a user encounters a moving scene while watching a movie and their pulse rate suddenly rises. At this time, the wearable device detects the sudden rise in pulse rate and sends the data to the server. The server uses an emotion engine to determine the change in emotion and records and summarizes the audio data. Next, a diary entry is generated based on this data, and recommendations for content related to the diary entry are sent to the user's smartphone.

[0876] This allows users to relive special moments and enjoy new emotionally-driven content.

[0877] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0878] Step 1: Collect data

[0879] The wearable device collects the user's biometric data (pulse rate and brain waves) in real time. The collected biometric data is stored in the wearable device's internal memory from the sensor and then periodically sent to a server. The input is the user's pulse rate and brain wave data, and the output is the biometric data sent to the server.

[0880] Step 2: Analyze the data

[0881] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library). This analysis extracts pulse rate fluctuations and brain wave patterns. The input is the biometric data sent from the wearable device, and the output is the analyzed data. Specifically, this includes pulse rate spikes and specific brain wave patterns.

[0882] Step 3: Determine the emotion

[0883] The server analyzes the analyzed biometric data using an emotion engine (e.g., EmotionEngine library) to determine changes in the user's emotions. The input is the analyzed biometric data, and the output is a judgment result indicating changes in emotions. A specific example of the operation is determining a sudden increase in pulse rate as "joy."

[0884] Step 4: Recording audio data

[0885] When a change in emotion is detected, the wearable device records the audio data at that moment, which is then sent to a server. The input is the specific emotion change and its timing, and the output is the recorded audio data.

[0886] Step 5: Summarizing the audio data

[0887] The server analyzes the recorded audio data using the AutoSummary library, extracts important information, and converts it into short text. The input is the recorded audio data, and the output is the summarized text. Specifically, it summarizes the user's words, "This movie is really great!", as "I was moved by the movie."

[0888] Step 6: Automatic generation of diary entries

[0889] The server automatically generates a diary entry based on the summarized text and the emotion determination results from the emotion engine. A text generation algorithm is used for the specific generation. The input is the summarized text and the emotion determination results, and the output is the automatically generated diary entry text. For example, a diary entry such as "Today I was moved by the climax scene of the movie" is generated.

[0890] Step 7: Content Recommendations

[0891] The server recommends personalized content based on the generated diary content and the user's emotional data. Utilizing an AI model and recommendation engine, it can recommend new movies, for example, based on past viewing history and emotional moments. The input is the generated diary and emotional data, and the output is the recommended content.

[0892] Step 8: Notification and confirmation

[0893] When the diary generation is complete, the server sends a notification to the user's smartphone or tablet. The user can then check the generated diary, reminisce about special moments from that day, and view recommended content. The input is the notification information that the diary has been generated, and the output is a notification displayed on the user's device.

[0894] Through these steps, it becomes possible to accurately capture changes in a user's emotions and automatically recommend individual content based on the results. It also makes it possible to automatically record emotional moments as a diary, allowing users to look back on special moments.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] [Third embodiment]

[0899] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0900] 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.

[0901] 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).

[0902] 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.

[0903] 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.

[0904] 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).

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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.

[0909] 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.

[0910] 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."

[0911] The present invention relates to a system that uses a wearable device to automatically detect changes in a user's emotions and record those moments in a diary.

[0912] composition

[0913] The system includes the following elements:

[0914] 1. Wearable devices: Collect biometric data such as pulse rate and brain waves.

[0915] 2. Server: Analyzes biometric data and detects changes in emotions.

[0916] 3. Recording device: Collects audio data and sends it to the server.

[0917] 4. Automatic summarization system: Extracts important information from audio data and converts it into text.

[0918] 5. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[0919] 6. User interface: displays the diary and notifies the user.

[0920] Operation explanation

[0921] Data collection and emotion detection

[0922] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0923] Audio recording and summarization

[0924] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0925] Automatic diary generation

[0926] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0927] Diary notifications and confirmation

[0928] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0929] Specific examples

[0930] As a practical example, consider the case where a user visits an art museum and experiences a sudden increase in pulse rate upon viewing a particular painting. At this time, the wearable device detects this sudden increase in pulse rate and sends the data to a server. At the same time, the wearable device records the user's emotional words and sends these to the server. The server analyzes these emotional changes and automatically generates a diary entry along with a summarized text. If the user is wearing smart glasses, photos and videos of the painting are also taken and attached to the diary entry. The server then notifies the user that the diary entry is complete, allowing the user to easily check the completed entry.

[0931] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[0932] The processing flow will be explained below.

[0933] Step 1:

[0934] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[0935] Step 2:

[0936] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[0937] Step 3:

[0938] The device records audio data for a certain period of time immediately after detecting a change in emotion, and then transmits this audio data to a server.

[0939] Step 4:

[0940] The server analyzes the received biometric data and voice data, and determines that the user is emotional.

[0941] Step 5:

[0942] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[0943] Step 6:

[0944] The server automatically generates a draft diary entry based on the summarized text and associated metadata, such as a sentence like "Today I saw a moving painting at the art museum."

[0945] Step 7:

[0946] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[0947] Step 8:

[0948] The server places the sent images and videos in the relevant parts of the diary, specifically attaching "photos of paintings that moved you" to the diary.

[0949] Step 9:

[0950] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[0951] Step 10:

[0952] Users can check their diary entries by receiving notifications and easily reread the diary entries created on their smartphones or PCs to relive special moments from that day.

[0953] Example 1

[0954] 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."

[0955] With conventional manual diary recording methods, users often forget to record special moments in their daily lives, which is time-consuming. It is also difficult to integrate various information, such as biometric data and voice data, to create a diary based on emotional changes. Therefore, there is a need for a system that can appropriately record changes in a user's emotions and easily review them later.

[0956] 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.

[0957] In this invention, the server includes means for collecting biometric data, means for analyzing the biometric data and detecting changes in emotions, means for recording voice data when a change in emotion is detected and transmitting the voice data to the server, means for summarizing the voice data and converting it into concise text on the server, means for automatically generating a diary based on the summarized text, and means for notifying the user of the generated diary. This allows the user to automatically and effortlessly create a diary based on changes in emotions, and easily record and look back on special moments.

[0958] "Biometric data" refers to physiological information such as the user's pulse rate and brain waves.

[0959] "Changes in emotion" refers to a phenomenon that indicates the moment when a user's emotions change significantly.

[0960] "Voice data" refers to voice information such as what the user says when a change in emotion is detected.

[0961] "Summarization" refers to extracting important information from audio data and converting it into concise text.

[0962] A "diary" refers to a record that includes text, images, and videos that record the user's emotional changes and related events.

[0963] "Notification" refers to a message sent from the server to the user's terminal informing them that a diary entry has been created.

[0964] "Server" refers to a central computer system that analyzes and processes data.

[0965] A "wearable device" is a device that can be worn by a user and collects biometric and audio data.

[0966] "Automatic generation" refers to creating a diary without human intervention based on a program algorithm.

[0967] "Smart glasses" refers to eyeglass-type imaging devices that users can wear to take images and videos.

[0968] The present invention relates to a system for monitoring changes in a user's emotions and automatically recording the same as a diary. Specific embodiments for carrying out the present invention will be described below.

[0969] composition

[0970] The system includes the following elements:

[0971] 1. Wearable devices

[0972] It collects biometric data such as the user's pulse and brain waves in real time.

[0973] Examples include smartwatches and EEG headsets.

[0974] 2. Server

[0975] Analyze biometric data to detect changes in emotions.

[0976] Summarize audio data and automatically generate a diary.

[0977] For example, a high-performance cloud server is used.

[0978] 3. Recording equipment

[0979] Voice data is collected at the moment a change in emotion is detected and sent to the server.

[0980] For example, voice recognition devices and smart speakers fall into this category.

[0981] 4. Automatic Summarization System

[0982] Extract important information from audio data and convert it into concise text.

[0983] For example, this includes software that uses natural language processing technology.

[0984] 5. Smart glasses (optional)

[0985] It takes pictures and videos within the user's field of vision and sends them to the server.

[0986] For example, augmented reality (AR) glasses with camera functionality are included.

[0987] 6. User Interface

[0988] Display the diary and notify the user.

[0989] For example, applications for smartphones and tablets are used.

[0990] Operation explanation

[0991] Data collection and emotion detection

[0992] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[0993] Audio recording and summarization

[0994] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[0995] Automatic diary generation

[0996] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[0997] Diary notifications and confirmation

[0998] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[0999] Specific examples

[1000] As a practical example, consider the case where a user visits an art museum and sees a particular painting, causing their pulse rate to spike. At this time, the wearable device detects this spike and sends the data to the server. At the same time, the user's words of appreciation, such as "This painting is truly amazing!", are recorded by the recording device and sent to the server.

[1001] The server analyzes the received pulse data and detects changes in emotions. It then runs the audio data through an automatic summarization system, generating text such as "I saw a moving painting at the art museum." The server combines this text with an image of the painting captured by the smart glasses to create a diary entry, and sends a notification to the user's device indicating that the diary entry has been created. The user can easily reminisce about special moments from that day by clicking the notification and viewing the created diary entry.

[1002] Prompt Sentence Examples

[1003] "Enter the following prompt into the generative AI model: 'Summarize the voice data when changes in emotion are detected and generate a diary. As a concrete example, we will provide voice data and pulse rate data from when the user saw a painting that moved them in an art museum.'"

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

[1005] Step 1:

[1006] Data collection

[1007] Input: User's biometric data such as pulse rate and brain waves

[1008] Output: Sending biometric data to the server

[1009] Specific actions

[1010] Wearable devices measure the user's pulse and brain waves in real time and collect biometric data. The collected data is sent to a server via wireless communication. For example, a wearable device can monitor the user's pulse in real time while they are viewing a particular painting in an art museum, and send the data to a server.

[1011] Step 2:

[1012] Emotion detection

[1013] Input: Biometric data sent to the server

[1014] Output: Flag indicating change in emotion

[1015] Specific actions

[1016] The server analyzes the received biometric data and uses a specific algorithm to detect changes in emotions. For example, if the pulse rate rises above a certain threshold, it recognizes this as a change in emotion. A flag indicating a change in emotion is then raised, and the system proceeds to the next processing step.

[1017] Step 3:

[1018] Recording and transmitting audio data

[1019] Input: Flag indicating change in emotion

[1020] Output: Sending recorded audio data to the server

[1021] Specific actions

[1022] When a flag indicating a change in emotion is raised, the wearable device or recording device will record the most recent voice data. The recorded voice data will be sent to the server. For example, the user's voice saying, "This painting is really amazing!" will be recorded.

[1023] Step 4:

[1024] Summarizing audio data

[1025] Input: Audio data sent to the server

[1026] Output: Summarized text

[1027] Specific actions

[1028] The server then runs the received audio data through an automatic summarization system, extracting key information and converting it into concise text. Using a generative AI model, the server analyzes the audio data, such as "This painting is truly amazing!", and generates the summary text, "I saw a moving painting at the art museum."

[1029] Step 5:

[1030] Diary generation

[1031] Input: Summarized text, images and videos taken with smart glasses (optional)

[1032] Output: Generated diary

[1033] Specific actions

[1034] The server uses the summarized text to create a draft diary entry, and simultaneously completes the diary entry by placing any images or videos taken with the smart glasses in relevant places. For example, an image of a painting that moved the user can be attached to the diary entry.

[1035] Step 6:

[1036] Diary notifications

[1037] Input: Generated diary

[1038] Output: Notification to the user interface

[1039] Specific actions

[1040] When the diary is completed, the server notifies the user's device (smartphone or PC) that the diary has been created. The user receives this notification and knows that the diary is complete.

[1041] Step 7:

[1042] Checking the diary

[1043] Input: Notification from the user interface

[1044] Output: User confirms diary entry

[1045] Specific actions

[1046] Users can click on the notification on their device to view the diary entry, for example by opening a smartphone app and viewing the diary entry, allowing them to easily reminisce about special moments from that day.

[1047] (Application example 1)

[1048] 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."

[1049] While conventional diary generation systems using wearable devices can record changes in a user's emotions, they cannot record preferences in real time during purchasing activities in a physical store. This makes it difficult for users to look back on how they felt about which products, limiting the improvement of the purchasing experience.

[1050] 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.

[1051] In this invention, the server includes means for collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically creating a diary based on the summarized audio data, means for notifying the user of the diary, and means for displaying product information related to the emotional changes in a physical store and recording the user's preferences. This makes it possible to record and display changes in a user's emotions during purchasing activities in a physical store in real time, thereby improving the user's purchasing experience.

[1052] A "wearable device" is a device that is worn on the user's body and collects biometric data.

[1053] "Biometric data" refers to data that indicates the user's physical condition, such as pulse rate and brain waves.

[1054] "Changes in emotion" refers to fluctuations in the user's emotional state, and specifically refers to emotions such as excitement, interest, and surprise.

[1055] The "means for determining" is a device or system that has the function of analyzing the collected biometric data and identifying changes in the user's emotions.

[1056] A "recording means" is a device or system for collecting and storing a user's voice.

[1057] The "summarizing means" is a system that has the function of extracting important information from recorded audio data and converting it into compact text data.

[1058] The "means for automatically generating a diary" is a system that has the function of automatically creating diary-style records based on summarized voice data.

[1059] The "notification means" is a device or system that has the function of notifying the user of the created diary on their smartphone or PC.

[1060] "Related product information" refers to data about products in physical stores, including prices, specifications, and user reviews.

[1061] The "means for displaying in a physical store" refers to a device or system that has the function of displaying product information in a form that can be viewed by users in a physical store.

[1062] A "means for recording preferences" is a system that has the function of storing data on the feelings and interests that users have shown toward specific products.

[1063] MODE FOR CARRYING OUT THE INVENTION

[1064] The present invention relates to a system that uses a wearable device to detect changes in a user's emotions and record those moments along with related product information in order to improve the shopping experience in physical stores.

[1065] composition

[1066] 1. Wearable devices: Collect biometric data such as the user's pulse and brain waves in real time. Examples include smart bands and smart watches.

[1067] 2. Server: Receives biometric data sent from the wearable device and analyzes emotional changes. When an emotional change is detected, it displays relevant product information and records the user's preferences.

[1068] 3. Voice Recorder: Collects voice data and sends it to the server, which records the user's voice at the moment when a change in emotion is detected.

[1069] 4. Automatic summarization system: Extracts important information from received audio data and converts it into text using natural language processing techniques.

[1070] 5. Smart glasses: They capture images and videos of products in the user's field of view and transmit them to a server, thereby recording visual data related to changes in emotions.

[1071] 6. User Interface: Along with the automatically generated diary, the system notifies the user of product information related to changes in emotions. This can be done via a smartphone or PC.

[1072] Operation explanation

[1073] Data collection and emotion detection

[1074] The wearable device constantly monitors the user's biometric data and transmits the data to a server. For example, if a user's pulse rate spikes when they look at a particular product in a physical store, the server can detect this change and determine their emotional state.

[1075] Audio recording and summarization

[1076] When a change in emotion is detected, the voice recorder records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of excitement, such as "These new clothes are amazing!", can be summarized and converted into a concise text such as "I was impressed by my new clothes in the fitting room."

[1077] Automatic diary generation and notifications

[1078] The server automatically generates a diary entry based on the summarized text. If necessary, product images and videos captured by the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. Furthermore, the server provides relevant product information to the user and records their preferences for those products.

[1079] Specific examples

[1080] Imagine a user visiting a physical store and trying on new clothes, and their pulse rate suddenly rises. At this time, a wearable device detects this change and sends the data to a server. A voice recorder records the user's emotional words and sends them to the server. The server analyzes this data and automatically generates a diary entry based on the summarized text. If the user is wearing smart glasses, they also take photos and videos of the new clothes and attach them to the diary entry. The server then notifies the user of detailed product information along with the diary entry, improving the user's purchasing experience.

[1081] Prompt Sentence Examples

[1082] "Capture the moment when a user's heart rate rises when trying on new clothes in a fitting room. Automatically generate a concise diary entry based on the captured image, recorded audio, and emotional change data. Example: An entry including the excitement of a heart rate exceeding 100, an image of the moment, and the user's thoughts."

[1083] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1084] Step 1:

[1085] Biometric data is collected using wearable devices.

[1086] Input: Biometric data such as the user's pulse and brain waves.

[1087] Processing: The wearable device collects data in real time and sends it to the server.

[1088] Output: The collected biometric data is sent to the server.

[1089] Step 2:

[1090] The server determines the change in emotion.

[1091] Input: Biometric data sent from a wearable device.

[1092] Processing: The server analyzes the biometric data and identifies changes in the user's emotions. For example, if the pulse rate exceeds 100, it is determined to be "excited."

[1093] Output: Emotion change data is generated as a result of the judgment.

[1094] Step 3:

[1095] Record audio related to emotional changes.

[1096] Input: The timestamp when the emotion change was detected.

[1097] Processing: The server issues a recording instruction to the audio recording device and collects the most recent audio data.

[1098] Output: The recorded audio data is sent to the server.

[1099] Step 4:

[1100] Summarize the audio data.

[1101] Input: Recorded audio data.

[1102] Processing: The server's automatic summarization system analyzes the audio data, extracts important information, and converts it into concise text.

[1103] Output: Summarized text data is generated.

[1104] Step 5:

[1105] The server automatically generates the diary.

[1106] Input: Summarized text data, emotion change data.

[1107] Processing: The server creates a diary-style record from the summarized text data, with timestamps identifying changes in emotion.

[1108] Output: Generated diary data is produced.

[1109] Step 6:

[1110] Smart glasses are used to capture images and videos.

[1111] Input: The timestamp when the emotion change was detected.

[1112] Processing: The smart glasses capture images and videos of what is in the user's field of view and send them to a server.

[1113] Output: The captured image and video data are sent to the server.

[1114] Step 7:

[1115] Embed images and videos in your diary.

[1116] Input: Image and video data transmitted from smart glasses.

[1117] Processing: The server associates and embeds image and video data in the diary.

[1118] Output: Complete diary data with embedded images and videos is generated.

[1119] Step 8:

[1120] Providing relevant product information according to changes in emotions.

[1121] Input: Sentiment change data and a database of products in physical stores.

[1122] Processing: The server identifies relevant product information based on the change in emotion and displays it on the user interface.

[1123] Output: Product information is displayed on the user's device.

[1124] Step 9:

[1125] Record user preferences in a diary.

[1126] Input: User reaction data and emotion change data.

[1127] Processing: The server records changes in emotions and related product information in a diary based on the user's preference data.

[1128] Output: Diary data is generated with preferences recorded.

[1129] Step 10:

[1130] Notify the user of the diary.

[1131] Input: Generated diary data.

[1132] Processing: The completed diary data is notified to the user's smartphone or PC.

[1133] Output: A notification of the diary data is sent to the user's device.

[1134] 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.

[1135] The present invention relates to a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotion, and automatically records those moments as a diary.

[1136] composition

[1137] The system includes the following elements:

[1138] 1. Wearable devices: devices that collect biometric data such as pulse rate and brain waves in real time.

[1139] 2. Server: Analyzes biometric data and determines changes in emotions using an emotion engine.

[1140] 3. Emotion engine: A software module that identifies emotions based on the user's biometric data and recognizes their changes.

[1141] 4. Recording device: Collects audio data and sends it to the server.

[1142] 5. Automatic summarization system: Extracts important information from audio data and converts it into text.

[1143] 6. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[1144] 7. User interface: A function to display and notify the user of the automatically generated diary.

[1145] Operation explanation

[1146] Data collection and emotion recognition

[1147] The wearable device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can record the moment of a significant emotional reaction, such as a sudden spike in pulse rate upon encountering a particular painting in an art museum. The biometric data collected by the device is immediately sent to a server.

[1148] The server uses an emotion engine to analyze the received biometric data and determine changes in the user's emotions. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[1149] Audio recording and summarization

[1150] When a change in emotion is detected, the wearable device records the voice data at that moment. This recorded voice data is sent to a server. The server then uses an automatic summarization system to extract the key content. For example, a user's statement such as "This painting is truly amazing!" can be summarized and converted into a concise text such as "I was moved by the painting."

[1151] Automatic diary generation

[1152] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, a sentence such as "Today I was excited to see the moving paintings at the art museum."

[1153] Media Data Integration

[1154] If the smart glasses are worn, the wearable device captures images and videos of what is in the user's field of vision and sends them to a server, which then places these media data in relevant sections of the diary. For example, a photo or video of a painting that inspires the user can be added to the diary.

[1155] Diary notifications and confirmation

[1156] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to easily check the diary entry and reminisce about special moments from that day.

[1157] Specific examples

[1158] As a concrete example, consider a case where a user visits an art museum and their pulse rate spikes when they see a particular painting. At this time, the wearable device detects this pulse rate spike and sends the data to the server. The emotion engine analyzes the pulse rate spike and determines that the user is moved. At the same time, the wearable device records the user's words of emotion and sends this audio data to the server. The server analyzes the emotional changes, summarizes the audio data, and automatically generates a diary entry along with related media data. Finally, the server notifies the user that the diary entry is complete, allowing the user to easily view the completed entry.

[1159] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[1160] The processing flow will be explained below.

[1161] Step 1:

[1162] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[1163] Step 2:

[1164] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[1165] Step 3:

[1166] The server analyzes the received biometric data using an emotion engine to determine changes in emotion. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[1167] Step 4:

[1168] The device records voice data for a certain period of time immediately after detecting a change in emotion, and transmits this recorded voice data to a server.

[1169] Step 5:

[1170] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[1171] Step 6:

[1172] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, it creates a sentence such as, "Today, I was excited to see a moving painting at the art museum."

[1173] Step 7:

[1174] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[1175] Step 8:

[1176] The server places the sent images and videos in the relevant parts of the diary. Specifically, photos and videos of paintings that impressed the user are attached to the diary.

[1177] Step 9:

[1178] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[1179] Step 10:

[1180] Users can check their diary entries by receiving notifications and easily reread the diary entries created using their smartphones or PCs to reminisce about special moments from that day.

[1181] Example 2

[1182] 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."

[1183] Existing systems make it difficult for users to easily record and review special moments from their daily lives. In particular, recording based on emotional changes must be done manually, which is time-consuming. It is also difficult to efficiently integrate audio and media data. This creates a need for a system that automatically records users' experiences in detail and provides easy access.

[1184] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1185] In this invention, the server includes means for analyzing biometric data collected by the wearable device to determine changes in emotions, means for recording audio data when an emotional change is detected, and means for converting the recorded audio data into text using an automatic summarization system, allowing users to automatically record special moments based on emotional changes in real time and easily look back on them.

[1186] A "wearable device" is a device worn by a user to collect biometric data such as pulse rate and brain waves in real time.

[1187] A "server" is a computer system that receives, analyzes, and performs various processes on biometric data sent from a wearable device.

[1188] "Biometric data" refers to information such as pulse rate and brain waves collected from the user's body, and is basic data for determining changes in emotions.

[1189] "Changes in emotion" refers to the transition of the user's emotion to a different state based on fluctuations in the collected biometric data.

[1190] "Audio data" is a digital recording of a user's speech.

[1191] An "automatic summarization system" is a software system that analyzes recorded audio data and extracts and summarizes the main content as text.

[1192] A "diary" is information in which a user's experiences and feelings based on emotional changes are recorded in text format.

[1193] "Smart glasses" are eyeglass-like devices that can be worn by a user and have the ability to capture images and videos within their field of vision.

[1194] "Media data" refers to image and video files captured by smart glasses and other devices.

[1195] "Notification" means that the server notifies the user's terminal that a diary has been created.

[1196] "User" refers to an individual who uses this system.

[1197] This invention is a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotions, and automatically records those moments in a diary. Specifically, it includes the following elements:

[1198] Hardware and Software Configuration

[1199] 1. Wearable devices

[1200] Examples: Apple Watch, Fitbit, etc.

[1201] Function: Collects biometric data such as pulse rate and brain waves in real time.

[1202] 2. Server

[1203] Function: Receives and analyzes biometric data sent from wearable devices, and uses an emotion engine to determine changes in emotions. Also analyzes recorded audio data, creates diary entries, and sends notifications.

[1204] Software examples: Affectiva's emotion engine, Google Cloud Speech-to-Text.

[1205] 3. Emotion Engine

[1206] Function: Identifies emotions based on the user's biometric data and recognizes changes in emotions.

[1207] 4. Recording Devices

[1208] Example: a smartphone.

[1209] Function: Records audio data when a change in emotion is detected and sends it to a server.

[1210] 5. Automatic Summarization System

[1211] Function: Extracts important information from recorded audio data and converts it into text.

[1212] Software example: Google Cloud Speech-to-Text.

[1213] 6. Smart glasses (optional)

[1214] Example: Google Glass.

[1215] Function: Captures images and videos within the user's field of view and sends them to a server.

[1216] 7. User Interface

[1217] Function: Display automatically generated diary entries to the user and notify them.

[1218] Specific examples

[1219] For example, if a user visits an art museum and sees a particular painting that causes a spike in their pulse rate, the system will act as follows:

[1220] 1. Data Collection:

[1221] A wearable device (e.g., Apple Watch) collects pulse data and transmits this data to a server.

[1222] 2. Data analysis and emotion determination:

[1223] The server uses Affectiva's emotion engine to analyze the pulse data and determine whether the user is emotional.

[1224] 3. Audio Recording:

[1225] The moment a change in emotion is detected, the smartphone records the user's statement, "This painting is truly amazing!", and sends it to the server.

[1226] 4. Audio Summary:

[1227] The server uses Google Cloud Speech-to-Text to convert the speech data into text, summarizing "This painting is truly amazing!" as "I was moved by the painting."

[1228] 5. Diary generation:

[1229] Based on the summarized text and the emotion assessment results, the server automatically generates a diary entry such as, "Today I was excited to see the moving paintings at the art museum."

[1230] 6. Media Data Integration:

[1231] A photo of the painting taken by smart glasses (e.g., Google Glass) is sent to the server and attached to the diary.

[1232] 7. Diary notification:

[1233] The server notifies the smartphone that the diary creation is complete, and the user receives the notification and checks the diary.

[1234] Prompt Sentence Examples

[1235] Below are some example prompts to input to a generative AI model (e.g., GPT-3):

[1236] "Automatically summarize the diary entry generated when a user was moved by a painting in an art museum and their pulse rate spiked, and output it in the following format.

[1237] Date: YYYY / MM / DD

[1238] Location: Museum

[1239] Emotion: Emotion

[1240] Article: I was excited to see some moving paintings at the art museum today. The piece by 'XX' was particularly impressive.

[1241] This prompt specifies the specific situation and output format, allowing the generative AI model to generate an appropriate diary entry.

[1242] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1243] Step 1:

[1244] Data collection

[1245] The user wears a wearable device that collects real-time biometric data (e.g., pulse rate, brainwaves, etc.) For example, when a user looks at a painting in an art museum, their pulse rate spikes.

[1246] Input: User's biometric data (pulse, brain waves, etc.)

[1247] Output: Biometric data stored in a wearable device

[1248] Step 2:

[1249] Data transmission

[1250] The terminal (wearable device) immediately transmits the collected biometric data to a server, using Bluetooth or Wi-Fi for data communication.

[1251] Input: Biometric data collected from wearable devices

[1252] Output: Biometric data sent to the server

[1253] Step 3:

[1254] Data analysis

[1255] The server analyzes the received biometric data, for example, analyzing the user's pulse data to detect deviations from normal values.

[1256] Input: Biometric data sent to the server

[1257] Output: Analysis results (e.g., sudden increase in pulse rate)

[1258] Step 4:

[1259] emotion judgment

[1260] The server uses the emotion engine to determine changes in emotions based on the analysis results. For example, if the pulse rate suddenly increases, the emotion engine will determine this as "excitement" or "emotion."

[1261] Input: Analysis results (e.g., sudden increase in pulse rate)

[1262] Output: Emotional judgment result (e.g. excitement, emotion)

[1263] Step 5:

[1264] Audio recording

[1265] When a change in emotion is detected, the device records the audio at that moment. For example, if the user says, "This painting is so beautiful!", the audio data will be recorded.

[1266] Input: Emotion determination result (e.g., excitement, emotion)

[1267] Output: Recorded audio data

[1268] Step 6:

[1269] Audio Summary

[1270] The recorded voice data is sent to a server, which then converts the voice data into text using an automatic summarization system. For example, the voice data "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[1271] Input: Recorded audio data

[1272] Output: Summarized text data

[1273] Step 7:

[1274] diary generation

[1275] The server automatically generates a diary entry based on the summarized text data, the analysis of biometric data, and the emotion determination results. For example, a sentence such as "Today I was excited to see a moving painting at the art museum."

[1276] Input: Summarized text data, biometric data analysis results, emotion determination results

[1277] Output: Auto-generated diary entry

[1278] Step 8:

[1279] Media Data Integration

[1280] When the smart glasses are worn, they capture images and videos of the user's field of vision and send them to a server, which then places them in the appropriate section of the diary. For example, a photo of a painting that moved the user might be attached to the diary.

[1281] Input: Image and video data captured by smart glasses

[1282] Output: Diary entries with integrated image and video data

[1283] Step 9:

[1284] Diary notification and display

[1285] Once the diary entry is complete, the server sends a notification of the entry to the user's smartphone or PC. The user receives the notification and can check the entry.

[1286] Input: Auto-generated diary entry

[1287] Output: Notifications and diary entries on the user's device

[1288] (Application example 2)

[1289] 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."

[1290] The problems with systems that can accurately grasp changes in people's emotions and automatically recommend personalized content based on them are that they require cumbersome manual configuration and detailed log management. Furthermore, there are not enough methods to automatically record intimate moments and special feelings and look back on them as a diary. Furthermore, there are many technical challenges to implementing such emotion-based content recommendation systems.

[1291] The identification process by the identification 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 collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically generating a diary based on the summarized audio data, means for using the automatically generated diary to recommend personalized content, and means for notifying the user of the personalized content. This makes it possible to accurately capture changes in the user's emotions and automatically recommend individual content based on the results. Furthermore, by automatically recording emotional moments as a diary, it becomes possible to look back on special moments.

[1292] A "wearable device" is a device that collects biometric data such as pulse rate and brain waves in real time and transmits it to a server.

[1293] "Changes in emotion" refers to changes in the user's emotional state determined by analyzing biological data such as pulse rate and brain waves.

[1294] The "means for recording and summarizing audio" refers to a means in which the wearable device records audio data the moment a change in emotion is detected, and the server analyzes the audio data to extract important information and convert it into concise text.

[1295] The "means for automatically generating a diary" is a system that automatically generates text about a user's special moments based on summarized voice data and emotion assessment results.

[1296] The "means used for personalized content recommendation" is a system that selects and recommends individually appropriate content to users based on the contents of the generated diary and the user's emotional data.

[1297] The "notification means" is a means for notifying the user by sending information about the created diary entry or recommended content to the user's smartphone or tablet.

[1298] A specific embodiment for carrying out the present invention is described below. This embodiment includes the configuration and operation of a specific wearable device, server, and software.

[1299] Data collection and emotion recognition

[1300] Wearable devices collect the user's biometric data (e.g., pulse rate and brain waves) in real time. Specifically, they use pulse sensors and brain wave sensors to monitor changes in the user's emotions and send the data to a server.

[1301] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library), and then determines the user's emotional changes using an emotion engine (e.g., EmotionEngine library).

[1302] Audio recording and summarization

[1303] When a change in emotion is detected, the wearable device records and transmits the audio data to a server, where it is analyzed using the AutoSummary library to extract key information and convert it into concise text.

[1304] Automatic diary generation

[1305] The server automatically generates a draft diary entry based on the summarized text and the emotion determined by the emotion engine. This diary entry contains content such as "I was moved by the climax scene of the movie today." This process is carried out using a content management system.

[1306] Content recommendations

[1307] Based on the generated diary entries and the user's emotional data, personalized content is recommended. For example, new movies or songs are recommended based on past viewing history and emotional data. This system utilizes an AI model and a recommendation engine. The following is an example of a prompt:

[1308] "Recommend new movies that contain elements of movies that have moved the user in the past. Analyze collected biometric and audio data to identify moving moments, and use associated text data and emotion assessment results."

[1309] Notification and confirmation

[1310] Once the diary entry is complete, the server sends a notification to the user's smartphone or tablet. The user can then review the diary entry and reminisce about special moments from that day. The notification also includes personalized content recommendations.

[1311] Specific examples

[1312] For example, consider the case where a user encounters a moving scene while watching a movie and their pulse rate suddenly rises. At this time, the wearable device detects the sudden rise in pulse rate and sends the data to the server. The server uses an emotion engine to determine the change in emotion and records and summarizes the audio data. Next, a diary entry is generated based on this data, and recommendations for content related to the diary entry are sent to the user's smartphone.

[1313] This allows users to relive special moments and enjoy new emotionally-driven content.

[1314] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1315] Step 1: Collect data

[1316] The wearable device collects the user's biometric data (pulse rate and brain waves) in real time. The collected biometric data is stored in the wearable device's internal memory from the sensor and then periodically sent to a server. The input is the user's pulse rate and brain wave data, and the output is the biometric data sent to the server.

[1317] Step 2: Analyze the data

[1318] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library). This analysis extracts pulse rate fluctuations and brain wave patterns. The input is the biometric data sent from the wearable device, and the output is the analyzed data. Specifically, this includes pulse rate spikes and specific brain wave patterns.

[1319] Step 3: Determine the emotion

[1320] The server analyzes the analyzed biometric data using an emotion engine (e.g., EmotionEngine library) to determine changes in the user's emotions. The input is the analyzed biometric data, and the output is a judgment result indicating changes in emotions. A specific example of the operation is determining a sudden increase in pulse rate as "joy."

[1321] Step 4: Recording audio data

[1322] When a change in emotion is detected, the wearable device records the audio data at that moment, which is then sent to a server. The input is the specific emotion change and its timing, and the output is the recorded audio data.

[1323] Step 5: Summarizing the audio data

[1324] The server analyzes the recorded audio data using the AutoSummary library, extracts important information, and converts it into short text. The input is the recorded audio data, and the output is the summarized text. Specifically, it summarizes the user's words, "This movie is really great!", as "I was moved by the movie."

[1325] Step 6: Automatic generation of diary entries

[1326] The server automatically generates a diary entry based on the summarized text and the emotion determination results from the emotion engine. A text generation algorithm is used for the specific generation. The input is the summarized text and the emotion determination results, and the output is the automatically generated diary entry text. For example, a diary entry such as "Today I was moved by the climax scene of the movie" is generated.

[1327] Step 7: Content Recommendations

[1328] The server recommends personalized content based on the generated diary content and the user's emotional data. Utilizing an AI model and recommendation engine, it can recommend new movies, for example, based on past viewing history and emotional moments. The input is the generated diary and emotional data, and the output is the recommended content.

[1329] Step 8: Notification and confirmation

[1330] When the diary generation is complete, the server sends a notification to the user's smartphone or tablet. The user can then check the generated diary, reminisce about special moments from that day, and view recommended content. The input is the notification information that the diary has been generated, and the output is a notification displayed on the user's device.

[1331] Through these steps, it becomes possible to accurately capture changes in a user's emotions and automatically recommend individual content based on the results. It also makes it possible to automatically record emotional moments as a diary, allowing users to look back on special moments.

[1332] 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.

[1333] 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.

[1334] 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.

[1335] [Fourth embodiment]

[1336] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1337] 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.

[1338] 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).

[1339] 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.

[1340] 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.

[1341] 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).

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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."

[1349] The present invention relates to a system that uses a wearable device to automatically detect changes in a user's emotions and record those moments in a diary.

[1350] composition

[1351] The system includes the following elements:

[1352] 1. Wearable devices: Collect biometric data such as pulse rate and brain waves.

[1353] 2. Server: Analyzes biometric data and detects changes in emotions.

[1354] 3. Recording device: Collects audio data and sends it to the server.

[1355] 4. Automatic summarization system: Extracts important information from audio data and converts it into text.

[1356] 5. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[1357] 6. User interface: displays the diary and notifies the user.

[1358] Operation explanation

[1359] Data collection and emotion detection

[1360] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[1361] Audio recording and summarization

[1362] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[1363] Automatic diary generation

[1364] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[1365] Diary notifications and confirmation

[1366] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[1367] Specific examples

[1368] As a practical example, consider the case where a user visits an art museum and experiences a sudden increase in pulse rate upon viewing a particular painting. At this time, the wearable device detects this sudden increase in pulse rate and sends the data to a server. At the same time, the wearable device records the user's emotional words and sends these to the server. The server analyzes these emotional changes and automatically generates a diary entry along with a summarized text. If the user is wearing smart glasses, photos and videos of the painting are also taken and attached to the diary entry. The server then notifies the user that the diary entry is complete, allowing the user to easily check the completed entry.

[1369] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[1370] The processing flow will be explained below.

[1371] Step 1:

[1372] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[1373] Step 2:

[1374] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[1375] Step 3:

[1376] The device records audio data for a certain period of time immediately after detecting a change in emotion, and then transmits this audio data to a server.

[1377] Step 4:

[1378] The server analyzes the received biometric data and voice data, and determines that the user is emotional.

[1379] Step 5:

[1380] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[1381] Step 6:

[1382] The server automatically generates a draft diary entry based on the summarized text and associated metadata, such as a sentence like "Today I saw a moving painting at the art museum."

[1383] Step 7:

[1384] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[1385] Step 8:

[1386] The server places the sent images and videos in the relevant parts of the diary, specifically attaching "photos of paintings that moved you" to the diary.

[1387] Step 9:

[1388] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[1389] Step 10:

[1390] Users can check their diary entries by receiving notifications and easily reread the diary entries created on their smartphones or PCs to relive special moments from that day.

[1391] Example 1

[1392] 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."

[1393] With conventional manual diary recording methods, users often forget to record special moments in their daily lives, which is time-consuming. It is also difficult to integrate various information, such as biometric data and voice data, to create a diary based on emotional changes. Therefore, there is a need for a system that can appropriately record changes in a user's emotions and easily review them later.

[1394] 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.

[1395] In this invention, the server includes means for collecting biometric data, means for analyzing the biometric data and detecting changes in emotions, means for recording voice data when a change in emotion is detected and transmitting the voice data to the server, means for summarizing the voice data and converting it into concise text on the server, means for automatically generating a diary based on the summarized text, and means for notifying the user of the generated diary. This allows the user to automatically and effortlessly create a diary based on changes in emotions, and easily record and look back on special moments.

[1396] "Biometric data" refers to physiological information such as the user's pulse rate and brain waves.

[1397] "Changes in emotion" refers to a phenomenon that indicates the moment when a user's emotions change significantly.

[1398] "Voice data" refers to voice information such as what the user says when a change in emotion is detected.

[1399] "Summarization" refers to extracting important information from audio data and converting it into concise text.

[1400] A "diary" refers to a record that includes text, images, and videos that record the user's emotional changes and related events.

[1401] "Notification" refers to a message sent from the server to the user's terminal informing them that a diary entry has been created.

[1402] "Server" refers to a central computer system that analyzes and processes data.

[1403] A "wearable device" is a device that can be worn by a user and collects biometric and audio data.

[1404] "Automatic generation" refers to creating a diary without human intervention based on a program algorithm.

[1405] "Smart glasses" refers to eyeglass-type imaging devices that users can wear to take images and videos.

[1406] The present invention relates to a system for monitoring changes in a user's emotions and automatically recording the same as a diary. Specific embodiments for carrying out the present invention will be described below.

[1407] composition

[1408] The system includes the following elements:

[1409] 1. Wearable devices

[1410] It collects biometric data such as the user's pulse and brain waves in real time.

[1411] Examples include smartwatches and EEG headsets.

[1412] 2. Server

[1413] Analyze biometric data to detect changes in emotions.

[1414] Summarize audio data and automatically generate a diary.

[1415] For example, a high-performance cloud server is used.

[1416] 3. Recording equipment

[1417] Voice data is collected at the moment a change in emotion is detected and sent to the server.

[1418] For example, voice recognition devices and smart speakers fall into this category.

[1419] 4. Automatic Summarization System

[1420] Extract important information from audio data and convert it into concise text.

[1421] For example, this includes software that uses natural language processing technology.

[1422] 5. Smart glasses (optional)

[1423] It takes pictures and videos within the user's field of vision and sends them to the server.

[1424] For example, augmented reality (AR) glasses with camera functionality are included.

[1425] 6. User Interface

[1426] Display the diary and notify the user.

[1427] For example, applications for smartphones and tablets are used.

[1428] Operation explanation

[1429] Data collection and emotion detection

[1430] The wearable device constantly monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect moments of significant emotional change, such as excitement at seeing a particular painting in an art museum. When the wearable device detects a change in emotion, it sends that data to a server.

[1431] Audio recording and summarization

[1432] When a change in emotion is detected, the wearable device records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of emotion, such as "This painting is truly amazing!", can be summarized and converted into a concise text such as "I saw a moving painting at the art museum."

[1433] Automatic diary generation

[1434] The server creates a draft diary entry based on the summarized text. If necessary, images and videos taken with the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. For example, in the example above, an image of a painting that moved the user is attached to the diary entry.

[1435] Diary notifications and confirmation

[1436] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to view the diary entry and easily reminisce about special moments from that day.

[1437] Specific examples

[1438] As a practical example, consider the case where a user visits an art museum and sees a particular painting, causing their pulse rate to spike. At this time, the wearable device detects this spike and sends the data to the server. At the same time, the user's words of appreciation, such as "This painting is truly amazing!", are recorded by the recording device and sent to the server.

[1439] The server analyzes the received pulse data and detects changes in emotions. It then runs the audio data through an automatic summarization system, generating text such as "I saw a moving painting at the art museum." The server combines this text with an image of the painting captured by the smart glasses to create a diary entry, and sends a notification to the user's device indicating that the diary entry has been created. The user can easily reminisce about special moments from that day by clicking the notification and viewing the created diary entry.

[1440] Prompt Sentence Examples

[1441] "Enter the following prompt into the generative AI model: 'Summarize the voice data when changes in emotion are detected and generate a diary. As a concrete example, we will provide voice data and pulse rate data from when the user saw a painting that moved them in an art museum.'"

[1442] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1443] Step 1:

[1444] Data collection

[1445] Input: User's biometric data such as pulse rate and brain waves

[1446] Output: Sending biometric data to the server

[1447] Specific actions

[1448] Wearable devices measure the user's pulse and brain waves in real time and collect biometric data. The collected data is sent to a server via wireless communication. For example, a wearable device can monitor the user's pulse in real time while they are viewing a particular painting in an art museum, and send the data to a server.

[1449] Step 2:

[1450] Emotion detection

[1451] Input: Biometric data sent to the server

[1452] Output: Flag indicating change in emotion

[1453] Specific actions

[1454] The server analyzes the received biometric data and uses a specific algorithm to detect changes in emotions. For example, if the pulse rate rises above a certain threshold, it recognizes this as a change in emotion. A flag indicating a change in emotion is then raised, and the system proceeds to the next processing step.

[1455] Step 3:

[1456] Recording and transmitting audio data

[1457] Input: Flag indicating change in emotion

[1458] Output: Sending recorded audio data to the server

[1459] Specific actions

[1460] When a flag indicating a change in emotion is raised, the wearable device or recording device will record the most recent voice data. The recorded voice data will be sent to the server. For example, the user's voice saying, "This painting is really amazing!" will be recorded.

[1461] Step 4:

[1462] Summarizing audio data

[1463] Input: Audio data sent to the server

[1464] Output: Summarized text

[1465] Specific actions

[1466] The server then runs the received audio data through an automatic summarization system, extracting key information and converting it into concise text. Using a generative AI model, the server analyzes the audio data, such as "This painting is truly amazing!", and generates the summary text, "I saw a moving painting at the art museum."

[1467] Step 5:

[1468] Diary generation

[1469] Input: Summarized text, images and videos taken with smart glasses (optional)

[1470] Output: Generated diary

[1471] Specific actions

[1472] The server uses the summarized text to create a draft diary entry, and simultaneously completes the diary entry by placing any images or videos taken with the smart glasses in relevant places. For example, an image of a painting that moved the user can be attached to the diary entry.

[1473] Step 6:

[1474] Diary notifications

[1475] Input: Generated diary

[1476] Output: Notification to the user interface

[1477] Specific actions

[1478] When the diary is completed, the server notifies the user's device (smartphone or PC) that the diary has been created. The user receives this notification and knows that the diary is complete.

[1479] Step 7:

[1480] Checking the diary

[1481] Input: Notification from the user interface

[1482] Output: User confirms diary entry

[1483] Specific actions

[1484] Users can click on the notification on their device to view the diary entry, for example by opening a smartphone app and viewing the diary entry, allowing them to easily reminisce about special moments from that day.

[1485] (Application example 1)

[1486] 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."

[1487] While conventional diary generation systems using wearable devices can record changes in a user's emotions, they cannot record preferences in real time during purchasing activities in a physical store. This makes it difficult for users to look back on how they felt about which products, limiting the improvement of the purchasing experience.

[1488] 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.

[1489] In this invention, the server includes means for collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically creating a diary based on the summarized audio data, means for notifying the user of the diary, and means for displaying product information related to the emotional changes in a physical store and recording the user's preferences. This makes it possible to record and display changes in a user's emotions during purchasing activities in a physical store in real time, thereby improving the user's purchasing experience.

[1490] A "wearable device" is a device that is worn on the user's body and collects biometric data.

[1491] "Biometric data" refers to data that indicates the user's physical condition, such as pulse rate and brain waves.

[1492] "Changes in emotion" refers to fluctuations in the user's emotional state, and specifically refers to emotions such as excitement, interest, and surprise.

[1493] The "means for determining" is a device or system that has the function of analyzing the collected biometric data and identifying changes in the user's emotions.

[1494] A "recording means" is a device or system for collecting and storing a user's voice.

[1495] The "summarizing means" is a system that has the function of extracting important information from recorded audio data and converting it into compact text data.

[1496] The "means for automatically generating a diary" is a system that has the function of automatically creating diary-style records based on summarized voice data.

[1497] The "notification means" is a device or system that has the function of notifying the user of the created diary on their smartphone or PC.

[1498] "Related product information" refers to data about products in physical stores, including prices, specifications, and user reviews.

[1499] The "means for displaying in a physical store" refers to a device or system that has the function of displaying product information in a form that can be viewed by users in a physical store.

[1500] A "means for recording preferences" is a system that has the function of storing data on the feelings and interests that users have shown toward specific products.

[1501] MODE FOR CARRYING OUT THE INVENTION

[1502] The present invention relates to a system that uses a wearable device to detect changes in a user's emotions and record those moments along with related product information in order to improve the shopping experience in physical stores.

[1503] composition

[1504] 1. Wearable devices: Collect biometric data such as the user's pulse and brain waves in real time. Examples include smart bands and smart watches.

[1505] 2. Server: Receives biometric data sent from the wearable device and analyzes emotional changes. When an emotional change is detected, it displays relevant product information and records the user's preferences.

[1506] 3. Voice Recorder: Collects voice data and sends it to the server, which records the user's voice at the moment when a change in emotion is detected.

[1507] 4. Automatic summarization system: Extracts important information from received audio data and converts it into text using natural language processing techniques.

[1508] 5. Smart glasses: They capture images and videos of products in the user's field of view and transmit them to a server, thereby recording visual data related to changes in emotions.

[1509] 6. User Interface: Along with the automatically generated diary, the system notifies the user of product information related to changes in emotions. This can be done via a smartphone or PC.

[1510] Operation explanation

[1511] Data collection and emotion detection

[1512] The wearable device constantly monitors the user's biometric data and transmits the data to a server. For example, if a user's pulse rate spikes when they look at a particular product in a physical store, the server can detect this change and determine their emotional state.

[1513] Audio recording and summarization

[1514] When a change in emotion is detected, the voice recorder records the most recent voice data and sends it to the server. The server then uses an automatic summarization system to extract key content. For example, a user's expression of excitement, such as "These new clothes are amazing!", can be summarized and converted into a concise text such as "I was impressed by my new clothes in the fitting room."

[1515] Automatic diary generation and notifications

[1516] The server automatically generates a diary entry based on the summarized text. If necessary, product images and videos captured by the smart glasses are also sent to the server, and they are placed at relevant points in the diary entry. Furthermore, the server provides relevant product information to the user and records their preferences for those products.

[1517] Specific examples

[1518] Imagine a user visiting a physical store and trying on new clothes, and their pulse rate suddenly rises. At this time, a wearable device detects this change and sends the data to a server. A voice recorder records the user's emotional words and sends them to the server. The server analyzes this data and automatically generates a diary entry based on the summarized text. If the user is wearing smart glasses, they also take photos and videos of the new clothes and attach them to the diary entry. The server then notifies the user of detailed product information along with the diary entry, improving the user's purchasing experience.

[1519] Prompt Sentence Examples

[1520] "Capture the moment when a user's heart rate rises when trying on new clothes in a fitting room. Automatically generate a concise diary entry based on the captured image, recorded audio, and emotional change data. Example: An entry including the excitement of a heart rate exceeding 100, an image of the moment, and the user's thoughts."

[1521] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1522] Step 1:

[1523] Biometric data is collected using wearable devices.

[1524] Input: Biometric data such as the user's pulse and brain waves.

[1525] Processing: The wearable device collects data in real time and sends it to the server.

[1526] Output: The collected biometric data is sent to the server.

[1527] Step 2:

[1528] The server determines the change in emotion.

[1529] Input: Biometric data sent from a wearable device.

[1530] Processing: The server analyzes the biometric data and identifies changes in the user's emotions. For example, if the pulse rate exceeds 100, it is determined to be "excited."

[1531] Output: Emotion change data is generated as a result of the judgment.

[1532] Step 3:

[1533] Record audio related to emotional changes.

[1534] Input: The timestamp when the emotion change was detected.

[1535] Processing: The server issues a recording instruction to the audio recording device and collects the most recent audio data.

[1536] Output: The recorded audio data is sent to the server.

[1537] Step 4:

[1538] Summarize the audio data.

[1539] Input: Recorded audio data.

[1540] Processing: The server's automatic summarization system analyzes the audio data, extracts important information, and converts it into concise text.

[1541] Output: Summarized text data is generated.

[1542] Step 5:

[1543] The server automatically generates the diary.

[1544] Input: Summarized text data, emotion change data.

[1545] Processing: The server creates a diary-style record from the summarized text data, with timestamps identifying changes in emotion.

[1546] Output: Generated diary data is produced.

[1547] Step 6:

[1548] Smart glasses are used to capture images and videos.

[1549] Input: The timestamp when the emotion change was detected.

[1550] Processing: The smart glasses capture images and videos of what is in the user's field of view and send them to a server.

[1551] Output: The captured image and video data are sent to the server.

[1552] Step 7:

[1553] Embed images and videos in your diary.

[1554] Input: Image and video data transmitted from smart glasses.

[1555] Processing: The server associates and embeds image and video data in the diary.

[1556] Output: Complete diary data with embedded images and videos is generated.

[1557] Step 8:

[1558] Providing relevant product information according to changes in emotions.

[1559] Input: Sentiment change data and a database of products in physical stores.

[1560] Processing: The server identifies relevant product information based on the change in emotion and displays it on the user interface.

[1561] Output: Product information is displayed on the user's device.

[1562] Step 9:

[1563] Record user preferences in a diary.

[1564] Input: User reaction data and emotion change data.

[1565] Processing: The server records changes in emotions and related product information in a diary based on the user's preference data.

[1566] Output: Diary data is generated with preferences recorded.

[1567] Step 10:

[1568] Notify the user of the diary.

[1569] Input: Generated diary data.

[1570] Processing: The completed diary data is notified to the user's smartphone or PC.

[1571] Output: A notification of the diary data is sent to the user's device.

[1572] 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.

[1573] The present invention relates to a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotion, and automatically records those moments as a diary.

[1574] composition

[1575] The system includes the following elements:

[1576] 1. Wearable devices: devices that collect biometric data such as pulse rate and brain waves in real time.

[1577] 2. Server: Analyzes biometric data and determines changes in emotions using an emotion engine.

[1578] 3. Emotion engine: A software module that identifies emotions based on the user's biometric data and recognizes their changes.

[1579] 4. Recording device: Collects audio data and sends it to the server.

[1580] 5. Automatic summarization system: Extracts important information from audio data and converts it into text.

[1581] 6. Smart glasses (optional): Capture images and videos within the user's field of view and send them to a server.

[1582] 7. User interface: A function to display and notify the user of the automatically generated diary.

[1583] Operation explanation

[1584] Data collection and emotion recognition

[1585] The wearable device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can record the moment of a significant emotional reaction, such as a sudden spike in pulse rate upon encountering a particular painting in an art museum. The biometric data collected by the device is immediately sent to a server.

[1586] The server uses an emotion engine to analyze the received biometric data and determine changes in the user's emotions. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[1587] Audio recording and summarization

[1588] When a change in emotion is detected, the wearable device records the voice data at that moment. This recorded voice data is sent to a server. The server then uses an automatic summarization system to extract the key content. For example, a user's statement such as "This painting is truly amazing!" can be summarized and converted into a concise text such as "I was moved by the painting."

[1589] Automatic diary generation

[1590] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, a sentence such as "Today I was excited to see the moving paintings at the art museum."

[1591] Media Data Integration

[1592] If the smart glasses are worn, the wearable device captures images and videos of what is in the user's field of vision and sends them to the server, which then places these media data in the relevant parts of the diary. For example, a photo or video of a painting that inspires the user can be pasted into the diary.

[1593] Diary notifications and confirmation

[1594] Once the diary entry is complete, the server sends a notification to the user's smartphone or PC, allowing the user to easily check the diary entry and reminisce about special moments from that day.

[1595] Specific examples

[1596] As a concrete example, consider a case where a user visits an art museum and their pulse rate spikes when they see a particular painting. At this time, the wearable device detects this pulse rate spike and sends the data to the server. The emotion engine analyzes the pulse rate spike and determines that the user is moved. At the same time, the wearable device records the user's words of emotion and sends this audio data to the server. The server analyzes the emotional changes, summarizes the audio data, and automatically generates a diary entry along with related media data. Finally, the server notifies the user that the diary entry is complete, allowing the user to easily view the completed entry.

[1597] In this way, the system of the present invention is a very convenient tool that allows users to effortlessly record special moments in their daily lives and look back on them later.

[1598] The processing flow will be explained below.

[1599] Step 1:

[1600] The device monitors the user's biometric data, such as pulse rate and brain waves, in real time. For example, it can detect a sudden increase in pulse rate when encountering a particular painting in an art museum.

[1601] Step 2:

[1602] When the device detects a change in emotion based on biometric data, it sends the data to a server, indicating that the pulse rate has increased by more than 30% above the normal average.

[1603] Step 3:

[1604] The server analyzes the received biometric data using an emotion engine to determine changes in emotion. For example, the emotion engine may determine that the user is excited based on a sudden increase in pulse rate.

[1605] Step 4:

[1606] The device records voice data for a certain period of time immediately after detecting a change in emotion, and transmits this recorded voice data to a server.

[1607] Step 5:

[1608] The server then runs the recorded audio through an automatic summarization system to extract important content. For example, audio data such as "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[1609] Step 6:

[1610] The server automatically generates a draft diary entry based on the summarized text, related metadata, and the emotion engine's emotion assessment results. For example, it creates a sentence such as, "Today, I was excited to see a moving painting at the art museum."

[1611] Step 7:

[1612] If the device includes smart glasses, the device will capture images and videos of the user's field of view the moment a change in emotion is detected, and this data will also be sent to the server.

[1613] Step 8:

[1614] The server places the sent images and videos in the relevant parts of the diary. Specifically, photos and videos of paintings that impressed the user are attached to the diary.

[1615] Step 9:

[1616] Once the diary creation is complete, the server notifies the user by sending a message to their smartphone or PC.

[1617] Step 10:

[1618] Users can check their diary entries by receiving notifications and easily reread the diary entries created using their smartphones or PCs to reminisce about special moments from that day.

[1619] Example 2

[1620] 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."

[1621] Existing systems make it difficult for users to easily record and review special moments from their daily lives. In particular, recording based on emotional changes must be done manually, which is time-consuming. It is also difficult to efficiently integrate audio and media data. This creates a need for a system that automatically records users' experiences in detail and provides easy access.

[1622] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1623] In this invention, the server includes means for analyzing biometric data collected by the wearable device to determine changes in emotions, means for recording audio data when an emotional change is detected, and means for converting the recorded audio data into text using an automatic summarization system, allowing users to automatically record special moments based on emotional changes in real time and easily look back on them.

[1624] A "wearable device" is a device worn by a user to collect biometric data such as pulse rate and brain waves in real time.

[1625] A "server" is a computer system that receives, analyzes, and performs various processes on biometric data sent from a wearable device.

[1626] "Biometric data" refers to information such as pulse rate and brain waves collected from the user's body, and is basic data for determining changes in emotions.

[1627] "Changes in emotion" refers to the transition of the user's emotion to a different state based on fluctuations in the collected biometric data.

[1628] "Audio data" is a digital recording of a user's speech.

[1629] An "automatic summarization system" is a software system that analyzes recorded audio data and extracts and summarizes the main content as text.

[1630] A "diary" is information in which a user's experiences and feelings based on emotional changes are recorded in text format.

[1631] "Smart glasses" are eyeglass-like devices that can be worn by a user and have the ability to capture images and videos within their field of vision.

[1632] "Media data" refers to image and video files captured by smart glasses and other devices.

[1633] "Notification" means that the server notifies the user's terminal that a diary has been created.

[1634] "User" refers to an individual who uses this system.

[1635] This invention is a system that uses a wearable device to collect biometric data from a user, combines it with an emotion engine to determine changes in emotions, and automatically records those moments in a diary. Specifically, it includes the following elements:

[1636] Hardware and Software Configuration

[1637] 1. Wearable devices

[1638] Examples: Apple Watch, Fitbit, etc.

[1639] Function: Collects biometric data such as pulse rate and brain waves in real time.

[1640] 2. Server

[1641] Function: Receives and analyzes biometric data sent from wearable devices, and uses an emotion engine to determine changes in emotions. Also analyzes recorded audio data, creates diary entries, and sends notifications.

[1642] Software examples: Affectiva's emotion engine, Google Cloud Speech-to-Text.

[1643] 3. Emotion Engine

[1644] Function: Identifies emotions based on the user's biometric data and recognizes changes in emotions.

[1645] 4. Recording Devices

[1646] Example: a smartphone.

[1647] Function: Records audio data when a change in emotion is detected and sends it to a server.

[1648] 5. Automatic Summarization System

[1649] Function: Extracts important information from recorded audio data and converts it into text.

[1650] Software example: Google Cloud Speech-to-Text.

[1651] 6. Smart glasses (optional)

[1652] Example: Google Glass.

[1653] Function: Captures images and videos within the user's field of view and sends them to a server.

[1654] 7. User Interface

[1655] Function: Display automatically generated diary entries to the user and notify them.

[1656] Specific examples

[1657] For example, if a user visits an art museum and sees a particular painting that causes a spike in their pulse rate, the system will act as follows:

[1658] 1. Data Collection:

[1659] A wearable device (e.g., Apple Watch) collects pulse data and transmits this data to a server.

[1660] 2. Data analysis and emotion determination:

[1661] The server uses Affectiva's emotion engine to analyze the pulse data and determine whether the user is emotional.

[1662] 3. Audio Recording:

[1663] The moment a change in emotion is detected, the smartphone records the user's statement, "This painting is truly amazing!", and sends it to the server.

[1664] 4. Audio Summary:

[1665] The server uses Google Cloud Speech-to-Text to convert the speech data into text, summarizing "This painting is truly amazing!" as "I was moved by the painting."

[1666] 5. Diary generation:

[1667] Based on the summarized text and the emotion assessment results, the server automatically generates a diary entry such as, "Today I was excited to see the moving paintings at the art museum."

[1668] 6. Media Data Integration:

[1669] A photo of the painting taken by smart glasses (e.g., Google Glass) is sent to the server and attached to the diary.

[1670] 7. Diary notification:

[1671] The server notifies the smartphone that the diary creation is complete, and the user receives the notification and checks the diary.

[1672] Prompt Sentence Examples

[1673] Below are some example prompts to input to a generative AI model (e.g., GPT-3):

[1674] "Automatically summarize the diary entry generated when a user was moved by a painting in an art museum and their pulse rate spiked, and output it in the following format.

[1675] Date: YYYY / MM / DD

[1676] Location: Museum

[1677] Emotion: Emotion

[1678] Article: I was excited to see some moving paintings at the art museum today. The piece by 'XX' was particularly impressive.

[1679] This prompt specifies the specific situation and output format, allowing the generative AI model to generate an appropriate diary entry.

[1680] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1681] Step 1:

[1682] Data collection

[1683] The user wears a wearable device that collects real-time biometric data (e.g., pulse rate, brainwaves, etc.) For example, when a user looks at a painting in an art museum, their pulse rate spikes.

[1684] Input: User's biometric data (pulse, brain waves, etc.)

[1685] Output: Biometric data stored in a wearable device

[1686] Step 2:

[1687] Data transmission

[1688] The terminal (wearable device) immediately transmits the collected biometric data to a server, using Bluetooth or Wi-Fi for data communication.

[1689] Input: Biometric data collected from wearable devices

[1690] Output: Biometric data sent to the server

[1691] Step 3:

[1692] Data analysis

[1693] The server analyzes the received biometric data, for example, analyzing the user's pulse data to detect deviations from normal values.

[1694] Input: Biometric data sent to the server

[1695] Output: Analysis results (e.g., sudden increase in pulse rate)

[1696] Step 4:

[1697] emotion judgment

[1698] The server uses the emotion engine to determine changes in emotions based on the analysis results. For example, if the pulse rate suddenly increases, the emotion engine will determine this as "excitement" or "emotion."

[1699] Input: Analysis results (e.g., sudden increase in pulse rate)

[1700] Output: Emotional judgment result (e.g. excitement, emotion)

[1701] Step 5:

[1702] Audio recording

[1703] When a change in emotion is detected, the device records the audio at that moment. For example, if the user says, "This painting is so beautiful!", the audio data will be recorded.

[1704] Input: Emotion determination result (e.g., excitement, emotion)

[1705] Output: Recorded audio data

[1706] Step 6:

[1707] Audio Summary

[1708] The recorded voice data is sent to a server, which then converts the voice data into text using an automatic summarization system. For example, the voice data "This painting is truly amazing!" can be summarized as "I was moved by the painting."

[1709] Input: Recorded audio data

[1710] Output: Summarized text data

[1711] Step 7:

[1712] diary generation

[1713] The server automatically generates a diary entry based on the summarized text data, the analysis of biometric data, and the emotion determination results. For example, a sentence such as "Today I was excited to see a moving painting at the art museum."

[1714] Input: Summarized text data, biometric data analysis results, emotion determination results

[1715] Output: Auto-generated diary entry

[1716] Step 8:

[1717] Media Data Integration

[1718] When the smart glasses are worn, they capture images and videos of the user's field of vision and send them to a server, which then places them in the appropriate section of the diary. For example, a photo of a painting that moved the user might be attached to the diary.

[1719] Input: Image and video data captured by smart glasses

[1720] Output: Diary entries with integrated image and video data

[1721] Step 9:

[1722] Diary notification and display

[1723] Once the diary entry is complete, the server sends a notification of the entry to the user's smartphone or PC. The user receives the notification and can check the entry.

[1724] Input: Auto-generated diary entry

[1725] Output: Notifications and diary entries on the user's device

[1726] (Application example 2)

[1727] 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."

[1728] The problems with systems that can accurately grasp changes in people's emotions and automatically recommend personalized content based on them are that they require cumbersome manual configuration and detailed log management. Furthermore, there are not enough methods to automatically record intimate moments and special feelings and look back on them as a diary. Furthermore, there are many technical challenges to implementing such emotion-based content recommendation systems.

[1729] The identification process by the identification 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 collecting biometric data using a wearable device, means for determining emotional changes detected by the wearable device, means for recording and summarizing audio related to the emotional changes, means for automatically generating a diary based on the summarized audio data, means for using the automatically generated diary to recommend personalized content, and means for notifying the user of the personalized content. This makes it possible to accurately capture changes in the user's emotions and automatically recommend individual content based on the results. Furthermore, by automatically recording emotional moments as a diary, it becomes possible to look back on special moments.

[1730] A "wearable device" is a device that collects biometric data such as pulse rate and brain waves in real time and transmits it to a server.

[1731] "Changes in emotion" refers to changes in the user's emotional state determined by analyzing biological data such as pulse rate and brain waves.

[1732] The "means for recording and summarizing audio" refers to a means in which the wearable device records audio data the moment a change in emotion is detected, and the server analyzes the audio data to extract important information and convert it into concise text.

[1733] The "means for automatically generating a diary" is a system that automatically generates text about a user's special moments based on summarized voice data and emotion assessment results.

[1734] The "means used for personalized content recommendation" is a system that selects and recommends individually appropriate content to users based on the contents of the generated diary and the user's emotional data.

[1735] The "notification means" is a means for notifying the user by sending information about the created diary entry or recommended content to the user's smartphone or tablet.

[1736] A specific embodiment for carrying out the present invention is described below. This embodiment includes the configuration and operation of a specific wearable device, server, and software.

[1737] Data collection and emotion recognition

[1738] Wearable devices collect the user's biometric data (e.g., pulse rate and brain waves) in real time. Specifically, they use pulse sensors and brain wave sensors to monitor changes in the user's emotions and send the data to a server.

[1739] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library), and then determines the user's emotional changes using an emotion engine (e.g., EmotionEngine library).

[1740] Audio recording and summarization

[1741] When a change in emotion is detected, the wearable device records and transmits the audio data to a server, where it is analyzed using the AutoSummary library to extract key information and convert it into concise text.

[1742] Automatic diary generation

[1743] The server automatically generates a draft diary entry based on the summarized text and the emotion determined by the emotion engine. This diary entry contains content such as "I was moved by the climax scene of the movie today." This process is carried out using a content management system.

[1744] Content recommendations

[1745] Based on the generated diary entries and the user's emotional data, personalized content is recommended. For example, new movies or songs are recommended based on past viewing history and emotional data. This system utilizes an AI model and a recommendation engine. The following is an example of a prompt:

[1746] "Recommend new movies that contain elements of movies that have moved the user in the past. Analyze collected biometric and audio data to identify moving moments, and use associated text data and emotion assessment results."

[1747] Notification and confirmation

[1748] Once the diary entry is complete, the server sends a notification to the user's smartphone or tablet. The user can then review the diary entry and reminisce about special moments from that day. The notification also includes personalized content recommendations.

[1749] Specific examples

[1750] For example, consider the case where a user encounters a moving scene while watching a movie and their pulse rate suddenly rises. At this time, the wearable device detects the sudden rise in pulse rate and sends the data to the server. The server uses an emotion engine to determine the change in emotion and records and summarizes the audio data. Next, a diary entry is generated based on this data, and recommendations for content related to the diary entry are sent to the user's smartphone.

[1751] This allows users to relive special moments and enjoy new emotionally-driven content.

[1752] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1753] Step 1: Collect data

[1754] The wearable device collects the user's biometric data (pulse rate and brain waves) in real time. The collected biometric data is stored in the wearable device's internal memory from the sensor and then periodically sent to a server. The input is the user's pulse rate and brain wave data, and the output is the biometric data sent to the server.

[1755] Step 2: Analyze the data

[1756] The server analyzes the received biometric data using a specific software module (e.g., BioSignalProcessing library). This analysis extracts pulse rate fluctuations and brain wave patterns. The input is the biometric data sent from the wearable device, and the output is the analyzed data. Specifically, this includes pulse rate spikes and specific brain wave patterns.

[1757] Step 3: Determine the emotion

[1758] The server analyzes the analyzed biometric data using an emotion engine (e.g., EmotionEngine library) to determine changes in the user's emotions. The input is the analyzed biometric data, and the output is a judgment result indicating changes in emotions. A specific example of the operation is determining a sudden increase in pulse rate as "joy."

[1759] Step 4: Recording audio data

[1760] When a change in emotion is detected, the wearable device records the audio data at that moment, which is then sent to a server. The input is the specific emotion change and its timing, and the output is the recorded audio data.

[1761] Step 5: Summarizing the audio data

[1762] The server analyzes the recorded audio data using the AutoSummary library, extracts important information, and converts it into short text. The input is the recorded audio data, and the output is the summarized text. Specifically, it summarizes the user's words, "This movie is really great!", as "I was moved by the movie."

[1763] Step 6: Automatic generation of diary entries

[1764] The server automatically generates a diary entry based on the summarized text and the emotion determination results from the emotion engine. A text generation algorithm is used for the specific generation. The input is the summarized text and the emotion determination results, and the output is the automatically generated diary entry text. For example, a diary entry such as "Today I was moved by the climax scene of the movie" is generated.

[1765] Step 7: Content Recommendations

[1766] The server recommends personalized content based on the generated diary content and the user's emotional data. Utilizing an AI model and recommendation engine, it can recommend new movies, for example, based on past viewing history and emotional moments. The input is the generated diary and emotional data, and the output is the recommended content.

[1767] Step 8: Notification and confirmation

[1768] When the diary generation is complete, the server sends a notification to the user's smartphone or tablet. The user can then check the generated diary, reminisce about special moments from that day, and view recommended content. The input is the notification information that the diary has been generated, and the output is a notification displayed on the user's device.

[1769] Through these steps, it becomes possible to accurately capture changes in a user's emotions and automatically recommend individual content based on the results. It also makes it possible to automatically record emotional moments as a diary, allowing users to look back on special moments.

[1770] 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.

[1771] 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.

[1772] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1773] 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.

[1774] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1775] 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.

[1776] 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).

[1777] 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.

[1778] 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."

[1779] 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.

[1780] 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).

[1781] 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.

[1782] 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.

[1783] 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.

[1784] 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.

[1785] 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.

[1786] 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.

[1787] 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.

[1788] 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.

[1789] 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.

[1790] 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.

[1791] The following is further disclosed regarding the above embodiment.

[1792] (Claim 1)

[1793] means for collecting biometric data by a wearable device;

[1794] means for determining a change in emotion detected by the wearable device;

[1795] means for recording and summarizing audio related to said emotional changes;

[1796] means for automatically generating a diary based on the summarized voice data;

[1797] means for notifying a user of the diary;

[1798] A system including:

[1799] (Claim 2)

[1800] 10. The system of claim 1, further comprising means for capturing images and videos using smart glasses and embedding them in the diary.

[1801] (Claim 3)

[1802] 10. The system of claim 1, further comprising means for detecting emotional changes by analyzing pulse and brain waves.

[1803] "Example 1"

[1804] (Claim 1)

[1805] a means for collecting biometric data;

[1806] means for analyzing the biometric data and detecting changes in emotions;

[1807] means for recording voice data when a change in emotion is detected and transmitting the voice data to a server;

[1808] a means for summarizing the audio data and converting it into concise text at the server;

[1809] means for automatically generating a diary based on the summarized text;

[1810] means for notifying a user of the created diary;

[1811] A system including:

[1812] (Claim 2)

[1813] 10. The system of claim 1, further comprising means for capturing and embedding images and videos into said diary.

[1814] (Claim 3)

[1815] 10. The system of claim 1, further comprising means for detecting changes in emotions by analyzing biometric data.

[1816] "Application Example 1"

[1817] (Claim 1)

[1818] means for collecting biometric data by a wearable device;

[1819] means for determining a change in emotion detected by the wearable device;

[1820] means for recording and summarizing audio related to said emotional changes;

[1821] means for automatically generating a diary based on the summarized voice data;

[1822] means for notifying a user of the diary;

[1823] a means for displaying related product information in a physical store in response to the change in emotion and recording the user's preferences;

[1824] A system including:

[1825] (Claim 2)

[1826] 10. The system of claim 1, further comprising means for capturing images and videos using smart glasses and embedding them in the diary.

[1827] (Claim 3)

[1828] 10. The system of claim 1, further comprising means for detecting emotional changes by analyzing pulse and brain waves.

[1829] "Example 2: Combining Emotion Engines"

[1830] (Claim 1)

[1831] means for collecting biometric data by a wearable device;

[1832] means for transmitting the biometric data collected by the wearable device to a server;

[1833] means for the server to analyze biometric data and determine changes in emotions;

[1834] means for recording audio data when a change in emotion is detected;

[1835] means for converting the audio data into text by an automatic summarization system;

[1836] means for automatically generating a diary based on the summarized text data;

[1837] means for notifying a user of the diary;

[1838] A system including:

[1839] (Claim 2)

[1840] 10. The system of claim 1, further comprising means for capturing images and videos using smart glasses and embedding them in the diary.

[1841] (Claim 3)

[1842] 10. The system of claim 1, further comprising means for detecting emotional changes by analyzing pulse and brain waves.

[1843] "Application example 2 when combining emotion engines"

[1844] (Claim 1)

[1845] means for collecting biometric data by a wearable device;

[1846] means for determining a change in emotion detected by the wearable device;

[1847] means for recording and summarizing audio related to said emotional changes;

[1848] means for automatically generating a diary based on the summarized voice data;

[1849] A method for using automatically generated diaries for personalized content recommendations;

[1850] means for notifying a user of the personalized content;

[1851] A system including:

[1852] (Claim 2)

[1853] 10. The system of claim 1, further comprising means for capturing images and videos using smart glasses and embedding them in the diary.

[1854] (Claim 3)

[1855] 10. The system of claim 1, further comprising means for detecting emotional changes by analyzing pulse and brain waves. [Explanation of symbols]

[1856] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for collecting biometric data by a wearable device; means for determining a change in emotion detected by the wearable device; means for recording and summarizing audio related to said emotional changes; means for automatically generating a diary based on the summarized voice data; means for notifying a user of the diary; A system including:

2. The system of claim 1 , further comprising means for capturing images and videos using smart glasses and embedding them in the diary.

3. 2. The system of claim 1, further comprising means for detecting changes in emotions by analyzing pulse and brain waves.

Images