System

Abstract

A system is provided.SOLUTION: A system includes a [camera device] means for capturing an image of a user, an [image processing device] means for analyzing the captured image data and recognizing clothes of the user, an [analysis device] means for proposing optimal clothes based on weather information and schedule information of the user, and a [display device] means for displaying an analysis result on a display.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In today's busy lifestyles, users need to obtain the information they need in a timely manner and efficiently manage their daily schedules. However, conventional smart mirrors simply display images and lack the functionality to personalize and optimize users' lives. For example, they cannot provide weather information, suggest outfits based on schedules, display the latest news or weather forecasts, or manage schedules through integration with smart devices. This poses a challenge, requiring users to spend a lot of time gathering and managing information. [Means for solving the problem]

[0005] The present invention provides a system including a camera device means for capturing a user's image, an image processing device means for analyzing the captured image data and recognizing the user's clothing, an analysis device means for suggesting optimal clothing based on weather information and the user's schedule information, a display device means for displaying the analysis results, a communication device means and an information selection device means for acquiring and selecting the latest weather information and news information, a linking device means for linking with a smart device to synchronize the schedule, and a notification device means for generating notifications. This system allows users to obtain necessary information in real time and efficiently manage their daily schedules. For example, by receiving optimal clothing suggestions when getting ready in the morning or receiving timely notifications of important appointments, the system can improve the user's quality of life.

[0006] A "camera device" is an imaging device for capturing an image of a user.

[0007] The "image processing device" is a processing device that analyzes captured image data and recognizes the user's clothing.

[0008] The "analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0009] The "display device" is a device for displaying the analysis results on a display.

[0010] A "communication device" is a device for obtaining the latest weather and news information.

[0011] The "information selection device" is a device for filtering acquired information and displaying it to the user.

[0012] A "linked device" is a device that links with a user's smart device and synchronizes schedule information and reminders.

[0013] A "notification device" is a device for generating and displaying notifications based on synchronized information. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[0036] System configuration

[0037] The system includes the following main components:

[0038] 1. Camera device: Captures an image of the user.

[0039] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0040] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0041] 4. Display device: The analysis results are displayed on the screen.

[0042] 5. Communication device: To get the latest weather and news information.

[0043] 6. Information selection device: Filters the acquired information and displays it to the user.

[0044] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0045] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0046] Program processing

[0047] The program of this system performs the process described in natural language as follows:

[0048] Example 1: Getting ready in the morning

[0049] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[0050] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0051] The terminal transmits the analyzed image data and the user's profile information to the server.

[0052] The server accesses the weather information API to obtain the current weather information, and also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0053] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[0054] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0055] Example 2: Displaying real-time information

[0056] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0057] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0058] The device then displays filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[0059] If the user wants more information, more detailed information and related links can be displayed.

[0060] Example 3: Schedule Sync and Notifications

[0061] The device connects to the user's smart device via Bluetooth or WiFi, allowing it to obtain schedule data and reminder information from the LINE app.

[0062] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0063] The device will display the identified information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[0064] Users can view notifications and respond using touch or voice commands.

[0065] With this configuration and processing, the system can streamline and enrich the user's life, for example, by shortening preparation time in the morning and helping the user start the day without missing important information.

[0066] The processing flow will be explained below.

[0067] Example 1: Getting ready in the morning

[0068] Step 1:

[0069] The user wakes up in the morning and stands in front of the mirror.

[0070] Step 2:

[0071] The camera device of the terminal captures an image of the user.

[0072] Step 3:

[0073] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0074] Step 4:

[0075] The terminal transmits the analyzed image data and the user's profile information to the server.

[0076] Step 5:

[0077] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0078] Step 6:

[0079] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[0080] Step 7:

[0081] The terminal displays the clothing suggestions sent from the server on the display, and the user checks the details of the suggested clothing and selects one.

[0082] Example 2: Displaying real-time information

[0083] Step 1:

[0084] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0085] Step 2:

[0086] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0087] Step 3:

[0088] The terminal displays the filtered information on the mirror's display.

[0089] Step 4:

[0090] If the user requests more detailed information, further information and related links are displayed on the screen.

[0091] Example 3: Schedule Sync and Notifications

[0092] Step 1:

[0093] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0094] Step 2:

[0095] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0096] Step 3:

[0097] The device will display the identified information as a pop-up notification on the mirror's display.

[0098] Step 4:

[0099] The device uses audio alerts and visual effects to grab the user's attention.

[0100] Step 5:

[0101] The user sees the notification and responds using touch and voice commands.

[0102] Example 1

[0103] 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."

[0104] The problem that this invention aims to solve is to improve the efficiency of clothing selection in users' daily lives and to integrate information management. Specifically, there is a demand for a system that suggests optimal clothing based on the weather and schedule, and a system that acquires and displays necessary information in real time and facilitates schedule management.

[0105] 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.

[0106] In this invention, the server includes an "information acquisition means," an "information analysis device," a "proposal generation device," and an "information presentation means." This allows the server to capture an image of the user, analyze the image data to recognize their outfit, and suggest the best outfit based on weather information and schedule information. It can also acquire and filter the latest weather and news information and display it to the user. Furthermore, it can synchronize schedule information and reminders with the user's electronic device and generate and display notifications.

[0107] An "imaging device" is a device for capturing an image of a user.

[0108] The "data processing device" is a device for analyzing the captured image data and recognizing the user's clothing.

[0109] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0110] The "display means" is a device for displaying the analysis results on a display.

[0111] "Communication means" refers to a device for transmitting user profile information and analysis results to the server.

[0112] The "information acquisition means" is a device for acquiring weather information and schedule information.

[0113] The "proposal generation device" is a device for generating optimal clothing proposals.

[0114] "Information communication means" refers to a device for obtaining the latest weather information and news information.

[0115] An "information selection device" is a device that filters acquired information and displays it to the user.

[0116] A "device synchronization device" is a device that works in conjunction with a user's electronic device to synchronize schedule information and reminders.

[0117] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[0118] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[0119] The system includes the following main components:

[0120] 1. Image capture device: Captures the user's image. The camera used should have high resolution and be suitable to ensure the required image quality.

[0121] 2. Data processing unit: Analyzes the captured image data and recognizes the user's clothing. Specifically, it uses image analysis libraries such as OpenCV and TensorFlow.

[0122] 3. Communication method: Image analysis results and user profile information are sent to the server via Wi-Fi or Bluetooth.

[0123] 4. Information acquisition means: Obtain weather information and schedule information from a weather information API (e.g., OpenWeatherMap API) or Google Calendar API.

[0124] 5. Information analysis device: Generates optimal outfit suggestions based on weather information and the user's schedule information. The predictive model uses Python's SciKit-Learn library.

[0125] 6. Proposal generator: A device for generating optimal clothing suggestions. For example, it makes specific suggestions such as, "It looks like it's going to rain, so we suggest a waterproof jacket and boots for you when you go out."

[0126] 7. Display: The analysis results and suggested outfits are displayed on the screen. The user can check the information displayed on the screen and make a selection.

[0127] 8. Information and communication methods: Regularly obtain the latest weather and news information. Use WiFi for communication.

[0128] 9. Information filter: Filters the acquired information and converts it into information that users are likely to be interested in. Python's NLTK library is used for natural language processing.

[0129] 10. Device Sync Device: Connects to the user's electronic devices and synchronizes schedule information and reminders. It obtains data from the LINE app and Google Calendar.

[0130] 11. Notification Generator: Generates notifications based on the synchronized information and displays them on the mirror's display. Notifies the user using audio alerts and visual effects.

[0131] Specific examples

[0132] Example 1: Getting ready in the morning

[0133] When a user wakes up in the morning and stands in front of the mirror, the imaging device of the terminal captures an image of the user.

[0134] The terminal's data processor analyzes the captured image and recognizes the user's current attire.

[0135] The terminal transmits the image analysis results and the user's profile information to the server.

[0136] The server accesses the weather information API to get the current weather information and checks the user's schedule.

[0137] The server suggests the best outfit based on weather and schedule information.

[0138] The terminal displays the clothing suggestions on the display, and the user checks the suggested clothing.

[0139] Example 2: Displaying real-time information

[0140] The terminal's information and communication means periodically obtains the latest weather and news information.

[0141] The server analyzes the acquired information and performs filtering.

[0142] The device displays the filtered information on the mirror's display, where the user can check the displayed information.

[0143] Example 3: Schedule Sync and Notifications

[0144] The device connects to the user's electronic device via Bluetooth or WiFi to obtain schedule and reminder information.

[0145] The server analyzes your schedule and identifies important events and reminders.

[0146] The terminal uses a notification generator to display the identified information as a pop-up notification on the mirror's display.

[0147] Users can respond to notifications using touch or voice commands.

[0148] Examples of prompt statements

[0149] Here are some examples of prompts to input to a generative AI model:

[0150] "Describe a system in which, when a user wakes up in the morning and stands in front of a smart mirror, the mirror recognizes the user's current outfit and suggests the most appropriate outfit based on the weather and schedule. For example, explain a specific scenario in which the mirror suggests a waterproof jacket when the user stands in front of the mirror on a rainy day."

[0151] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0152] Step 1:

[0153] The user wakes up in the morning and stands in front of the smart mirror.

[0154] Input: User appearance

[0155] How it works: The device's imaging device automatically detects the user's presence and captures an image.

[0156] Output: High resolution captured user image

[0157] Step 2:

[0158] A data processing unit of the terminal analyzes the captured images.

[0159] Input: Captured user image

[0160] How it works: It uses image analysis libraries such as OpenCV and TensorFlow to identify the user's face and clothing using facial recognition and object detection algorithms.

[0161] Output: User's clothing data (e.g., type and color of shirt and pants)

[0162] Step 3:

[0163] The terminal transmits the analyzed clothing data and the user's profile information to the server.

[0164] Input: Analyzed clothing data, user profile information

[0165] How it works: Sends data using WiFi or Bluetooth.

[0166] Output: Analytics data and profile information sent to the server

[0167] Step 4:

[0168] The server accesses the API to get weather information.

[0169] Input: User's location information

[0170] Operation: Accesses a weather information API (e.g. OpenWeatherMap API) to obtain current weather information.

[0171] Output: Current weather information

[0172] Step 5:

[0173] The server accesses the API to obtain the schedule information.

[0174] Input: User's schedule information

[0175] What it does: Checks the user's schedule for the day using the Google Calendar API, etc.

[0176] Output: User's schedule for the day

[0177] Step 6:

[0178] The server's information analysis device generates optimal clothing suggestions based on weather information and schedule information.

[0179] Input: Weather information, schedule information, user clothing data

[0180] How it works: Runs an algorithm to generate optimal outfits using SciKit-Learn predictive models.

[0181] Output: Best outfit suggestions (e.g. formal shirt and jacket)

[0182] Step 7:

[0183] The terminal uses the display means to display the clothing suggestions received from the server on the display.

[0184] Input: Clothing suggestion data sent from the server

[0185] Operation: Shows clothing suggestions on the display and provides information to the user.

[0186] Output: Clothing suggestions displayed on the mirror

[0187] Step 8:

[0188] The terminal's information and communication means periodically obtains the latest weather and news information.

[0189] Input: Internet connection

[0190] How it works: Uses WiFi to periodically retrieve updated information from the internet.

[0191] Output: Latest weather and news information

[0192] Step 9:

[0193] The server analyzes the information obtained and filters it based on the user's interests.

[0194] Input: Latest weather and news information

[0195] How it works: It uses Python's NLTK library to categorize information and select information that is relevant to the user.

[0196] Output: Filtered information

[0197] Step 10:

[0198] The terminal displays the filtered information on the display.

[0199] Input: Filtered information

[0200] Operation: Displays information on the display and presents it to the user.

[0201] Output: Filtering information displayed in the mirror

[0202] Step 11:

[0203] The terminal works in conjunction with the user's electronic device to synchronize schedule information and reminders.

[0204] Input: Schedule data from the user's electronic device

[0205] How it works: Retrieves data from the LINE app and Google Calendar via Bluetooth or WiFi.

[0206] Output: Synced schedule and reminder information

[0207] Step 12:

[0208] The server analyzes the synchronized schedule information and identifies important events and reminders.

[0209] Input: Synced schedule information

[0210] Action: Use predictive models or rules engines to identify key information.

[0211] Output: Important events and reminders

[0212] Step 13:

[0213] The device generates and displays a notification based on the identified information.

[0214] Input: Important event and reminder information

[0215] What it does: Uses a notification generator to display a pop-up notification on the display and notifies the user using audio alerts and visual effects.

[0216] Output: Notification information displayed on the mirror, audio alerts

[0217] (Application example 1)

[0218] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0219] Previous smart mirror systems provided clothing suggestions and weather information to optimize users' daily lives, but they lacked functionality to enhance the shopping experience in brick-and-mortar stores. Furthermore, they were unable to suggest coordination options with other items for clothes customers tried on in the store, limiting customers' fashion choices. Furthermore, they were unable to provide real-time style suggestions based on weather conditions or the latest fashion information.

[0220] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0221] In this invention, the server includes an imaging device for capturing an image of a user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule information, a display device for displaying the analysis results, a proposal generation device for generating proposals combining the clothing with other items and accessories in the store, a communication device for acquiring the latest weather information and news information, an information selection device for selecting the acquired information and displaying it to the user, a style proposal device for making style proposals based on current weather conditions and the latest fashion information, a collaboration device for linking with the user's information terminal and synchronizing schedule information, reminders, and shopping information, and a notification device for generating and displaying notifications based on the synchronized information, thereby improving the customer's shopping experience in a physical store, enabling suggestions for coordinating outfits with other items and accessories, and enabling real-time style proposals.

[0222] An "imaging device" is a device for capturing an image of a user.

[0223] An "image processing device" is a device that analyzes captured image data and recognizes the user's clothing.

[0224] The "analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0225] A "display device" is a device for displaying the analysis results.

[0226] A "proposal generator" is a device for generating proposals in combination with other items and accessories in a store.

[0227] A "communication device" is a device for obtaining the latest weather and news information.

[0228] An "information selection device" is a device that selects acquired information and displays it to the user.

[0229] A "style suggestion device" is a device that makes style suggestions based on current weather conditions and the latest fashion information.

[0230] A "linked device" is a device that links with a user's information terminal and synchronizes schedule information, reminders, and shopping information.

[0231] A "notification device" is a device for generating and displaying notifications based on synchronized information.

[0232] This invention relates to a smart mirror system for enriching users' daily lives, but can also be applied to improving the shopping experience in brick-and-mortar stores. The system is composed of an imaging device, an image processing device, an analysis device, a display device, a suggestion generation device, a communication device, an information selection device, a style suggestion device, a collaboration device, and a notification device.

[0233] Hardware and software used

[0234] Imaging device: A camera (e.g., Logitech C920) for capturing an image of the user.

[0235] Image processing device: A computer device that analyzes the captured image data and recognizes the user's clothing. Here, an image processing library such as OpenCV is used.

[0236] Analysis device: A server that suggests optimal clothing based on weather information and the user's schedule. To obtain weather information, it uses the OpenWeatherMap API, etc.

[0237] Display device: A display for showing the analysis results (e.g., part of a smart mirror).

[0238] Proposal Generator: A server for generating fashion suggestions in combination with other items and accessories in the store.

[0239] Communications device: A means of network connection to obtain the latest weather and news information.

[0240] Information filtering device: A device for filtering acquired information and displaying it to the user.

[0241] Style suggestion device: A device that makes style suggestions based on current weather conditions and the latest fashion information.

[0242] Linkage device: A device that links with a user's information terminal such as a smartphone to synchronize schedule information, reminders, and shopping information.

[0243] Notification device: A device for generating and displaying notifications based on synchronized information.

[0244] Specific examples of processing

[0245] 1. When a user stands in front of a store's smart mirror, the image capture device captures an image of the user.

[0246] 2. The image processing device analyzes the captured image data and recognizes the user's current clothing.

[0247] 3. The analysis device accesses the weather information API to obtain current weather information. It also references the store's calendar information and checks event information.

[0248] 4. The proposal generator generates optimal fashion proposals that combine with other items and accessories offered in the store.

[0249] 5. The display device displays the generated fashion suggestions on the display.

[0250] 6. The communication device periodically connects to the Internet to obtain the latest weather and news information.

[0251] 7. The information selection device analyzes the acquired information and selects the information based on the interests and importance set by the user.

[0252] 8. The style suggestion device provides real-time style suggestions based on current weather conditions and the latest fashion information.

[0253] 9. The linked device synchronizes with the user's smartphone to obtain schedule information, reminders, and shopping information.

[0254] 10. The notification device identifies important events and reminders and displays them as pop-up notifications on the display.

[0255] Prompt Sentence Examples

[0256] "Analyze the customer's current clothing style and suggest the best outfit based on the latest weather information."

[0257] This embodiment enhances the customer's shopping experience in a physical store, allows for suggestions on coordinating items with other items and accessories, and keeps customers up to date with the latest fashion trends through real-time style suggestions.

[0258] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0259] Step 1:

[0260] When a user stands in front of a store's smart mirror, the camera captures the user's image. The input is the user's appearance, and the output is the captured image data. Specifically, the camera automatically captures the image and sends the image data to the system.

[0261] Step 2:

[0262] The image processing device analyzes the captured image data and recognizes the user's current clothing. The input is the captured image data, and the output is the recognized clothing information. Specifically, it uses the OpenCV library to extract clothing features from the image and applies a recognition algorithm to determine the type of clothing.

[0263] Step 3:

[0264] The analysis device accesses the weather information API to obtain current weather information. It also references the in-store calendar information and checks event information. The input is a request to the weather information API and calendar information, and the output is current weather information and event information. Specifically, an API request is sent and the obtained data is returned to the analysis device.

[0265] Step 4:

[0266] The proposal generator generates optimal fashion proposals that combine the recognized clothing with other items and accessories offered in the store. The input is recognized clothing information, weather information, and event information, and the output is optimal fashion proposals. Specifically, the combination proposal algorithm generates proposals based on this information.

[0267] Step 5:

[0268] The display device displays the generated fashion suggestions on a display. The input is the fashion suggestions, and the output is visual information displayed on the display. As a specific operation, data is sent to the display device and visualized.

[0269] Step 6:

[0270] A communication device periodically connects to the Internet to obtain the latest weather and news information. The input is an Internet connection and an information request, and the output is the obtained information. Specifically, the device accesses a communication endpoint to obtain the required information.

[0271] Step 7:

[0272] The information filtering device analyzes the acquired information and selects it based on the interests and importance set by the user. The input is the acquired weather information and news information, and the output is the selected information. Specifically, a filtering algorithm analyzes this information and selects it based on the user's interests.

[0273] Step 8:

[0274] The style suggestion device makes real-time style suggestions based on current weather conditions and the latest fashion information. The input is weather conditions and fashion information, and the output is style suggestions. Specifically, the suggestion algorithm analyzes the data and suggests appropriate styles in real time.

[0275] Step 9:

[0276] The linked device synchronizes with the user's smartphone and obtains schedule information, reminders, and shopping information. The input is data from the user's smartphone, and the output is synchronized schedule information, reminders, and shopping information. Specifically, data synchronization is performed using Bluetooth or WiFi.

[0277] Step 10:

[0278] The notification device identifies important events and reminders and displays them as pop-up notifications on the display. The input is the synchronized schedule information and reminders, and the output is the displayed notification. Specifically, the notification algorithm analyzes the important information and sends the data to the display device to display the notification.

[0279] 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.

[0280] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[0281] System configuration

[0282] The system includes the following main components:

[0283] 1. Camera device: Captures an image of the user.

[0284] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0285] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0286] 4. Display device: The analysis results are displayed on the screen.

[0287] 5. Communication device: To get the latest weather and news information.

[0288] 6. Information selection device: Filters the acquired information and displays it to the user.

[0289] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0290] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0291] 9. Emotion engine: Analyzes the user's facial expressions and recognizes emotions.

[0292] Program processing

[0293] The program of this system performs the process described in natural language as follows:

[0294] Example 1: Getting ready in the morning

[0295] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[0296] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0297] At the same time, the emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g., tired, energetic).

[0298] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[0299] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0300] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[0301] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0302] Example 2: Displaying real-time information

[0303] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0304] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0305] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0306] The device will then display filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[0307] If the user wants more information, more detailed information and related links can be displayed.

[0308] Example 3: Schedule Sync and Notifications

[0309] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0310] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0311] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[0312] The device will display device-specific information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[0313] Users can view notifications and respond using touch or voice commands.

[0314] With this configuration and processing, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as suggesting clothing, displaying information, and managing schedules based on the user's emotions.

[0315] The processing flow will be explained below.

[0316] Example 1: Getting ready in the morning

[0317] Step 1:

[0318] The user wakes up in the morning and stands in front of the mirror.

[0319] Step 2:

[0320] The camera device of the terminal captures an image of the user.

[0321] Step 3:

[0322] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0323] Step 4:

[0324] The emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g. tired, energetic).

[0325] Step 5:

[0326] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[0327] Step 6:

[0328] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0329] Step 7:

[0330] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[0331] Step 8:

[0332] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0333] Example 2: Displaying real-time information

[0334] Step 1:

[0335] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0336] Step 2:

[0337] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0338] Step 3:

[0339] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0340] Step 4:

[0341] The device displays filtered information on the mirror display (e.g., using calmer colors if you are tired).

[0342] Step 5:

[0343] If the user requests more detailed information, further information and related links are displayed on the screen.

[0344] Example 3: Schedule Sync and Notifications

[0345] Step 1:

[0346] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0347] Step 2:

[0348] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0349] Step 3:

[0350] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[0351] Step 4:

[0352] The device will display the identified information as a pop-up notification on the mirror's display.

[0353] Step 5:

[0354] The device uses audio alerts and visual effects to grab the user's attention.

[0355] Step 6:

[0356] The user sees the notification and responds using touch and voice commands.

[0357] Example 2

[0358] 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."

[0359] Conventional smart mirror systems only suggest clothing and display weather information, but are unable to provide personalized services based on the user's emotions or daily schedule. Therefore, in order to further improve the efficiency and enrichment of users' daily lives, more comprehensive and personalized information provision is required.

[0360] 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.

[0361] In this invention, the server includes a camera device for capturing an image of the user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display device for displaying the analysis results on a display, and an emotion recognition device for analyzing the user's emotions and adjusting the content of information and notifications. This makes it possible to provide more personalized information based on the user's emotions and schedule.

[0362] A "camera device" is a photographic device for capturing an image of a user.

[0363] The "image processing device" is a computer device that analyzes the captured image data and recognizes the user's clothing.

[0364] The "analysis device" is a data analysis device that suggests optimal clothing based on weather information and the user's schedule information.

[0365] The "display device" is a display device for visually presenting the analysis results to the user.

[0366] An "emotion recognition device" is a device that analyzes a user's facial expression and recognizes the emotion.

[0367] A "communication device" is a communication device that connects to the Internet and obtains the latest weather and news information.

[0368] The "information selection device" is a device for filtering acquired information and selecting appropriate information to display to the user.

[0369] A "linked device" is a communication device that links with a user's smart device and synchronizes schedule information and reminders.

[0370] A "notification device" is a device that generates notifications based on synchronized information and notifies the user visually or audibly.

[0371] MODE FOR CARRYING OUT THE INVENTION

[0372] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures a user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[0373] System configuration

[0374] The system includes the following main components:

[0375] 1. Camera device: Captures an image of the user.

[0376] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0377] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0378] 4. Display device: The analysis results are displayed on the screen.

[0379] 5. Communication device: To get the latest weather and news information.

[0380] 6. Information selection device: Filters the acquired information and displays it to the user.

[0381] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0382] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0383] 9. Emotion recognition device: Analyzes the user's facial expressions and recognizes emotions.

[0384] Example of a system

[0385] Example 1: Getting ready in the morning

[0386] When a user wakes up in the morning and stands in front of the mirror, the device's camera captures an image of the user. The device's image processing device analyzes the captured image data using deep learning and recognizes the user's current outfit. The emotion recognition device analyzes the user's facial expressions and recognizes their emotions. This data is sent from the device to a server, and the server accesses a weather information API (e.g., OpenWeatherMap API) to obtain current weather information. The server also references the user's calendar information and checks the user's schedule for the day. Based on this information, the server suggests optimal outfits, which the device displays on its screen.

[0387] Example prompt sentence:

[0388] "Design a system that gathers the information necessary to suggest morning outfits and provides optimal suggestions to users."

[0389] Example 2: Displaying real-time information

[0390] The device's communications device periodically connects to the Internet and retrieves the latest weather and news information from an API. The server analyzes the retrieved information and filters it based on the interests and importance set by the user. The emotion recognition device then analyzes the user's current emotions and adjusts the content and presentation of the information displayed. The device then displays the filtered information on the mirror's display. For example, it may display a weather forecast such as "Today's weather is sunny," sports game results, or important news.

[0391] Example prompt sentence:

[0392] "Design a system that filters and displays information based on the user's real-time emotions."

[0393] Example 3: Schedule Sync and Notifications

[0394] The device connects to the user's smart device via Bluetooth or WiFi. This connection retrieves schedule data and reminder information from apps such as LINE. The server analyzes the user's schedule information and identifies important events and reminders. The emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications. For example, if the user is very tired, the notification may be delayed slightly. The device displays the identified information as a pop-up notification on the mirror's display, and uses audio alerts and visual effects to attract the user's attention.

[0395] Example prompt sentence:

[0396] "Design a system that captures the user's schedule and adjusts the content and timing of notifications based on their emotions."

[0397] With these configurations and operations, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as providing information and suggesting clothing based on the user's emotions and schedule.

[0398] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0399] Specific examples of getting ready in the morning

[0400] Step 1:

[0401] The user stands in front of a mirror

[0402] Input: None

[0403] Output: The device's camera is activated.

[0404] Specific operation: The system starts when the user stands in front of the mirror, and the camera device automatically starts up.

[0405] Step 2:

[0406] The device's camera captures an image of the user.

[0407] Input: User posture and movement

[0408] Output: Captured image data

[0409] Specific operation: A high-resolution camera captures the user's entire body, and the captured image is sent to an image processing device.

[0410] Step 3:

[0411] The device's image processing unit analyzes the captured image data and recognizes the clothing.

[0412] Input: Captured image data

[0413] Output: Recognized clothing information

[0414] Specific operation: The image processing device uses a deep learning model (e.g., TensorFlow) to analyze the user's clothing and output the results in data format.

[0415] Step 4:

[0416] The emotion recognition device analyzes the user's facial expressions and recognizes their emotions.

[0417] Input: User's captured facial image data

[0418] Output: Recognized emotion information

[0419] Specific operation: The emotion recognition device uses a facial expression analysis algorithm (e.g., OpenCV or Face++) to analyze the user's facial expression and identify the emotion.

[0420] Step 5:

[0421] The device sends the analyzed image data and emotional information to the server.

[0422] Input: Image data, clothing information, emotional information

[0423] Output: Send data to the server

[0424] Specific operation: The terminal collects all data and sends it to the server via the network.

[0425] Step 6:

[0426] The server accesses the weather information API and retrieves the current weather information.

[0427] Input: User's location

[0428] Output: Current weather information

[0429] Specific operation: The server accesses a weather information API (e.g., OpenWeatherMap) and obtains current weather information.

[0430] Step 7:

[0431] The server references the user's calendar information and checks the schedule for the day.

[0432] Input: User's calendar information

[0433] Output: Today's schedule information

[0434] Specific operation: The server uses the Google Calendar API to look up the user's schedule and check important events for the day.

[0435] Step 8:

[0436] The server suggests the best outfit based on weather, schedule, and emotional information.

[0437] Input: Weather information, schedule information, emotion information

[0438] Output: Clothing suggestion data

[0439] How it works: The server aggregates all the information and uses an algorithm to suggest the best outfit for the user (e.g., a formal shirt and jacket).

[0440] Step 9:

[0441] The device displays suggested outfits on the screen.

[0442] Input: Clothing suggestion data

[0443] Output: Clothing information displayed on the screen

[0444] Specific operation: The terminal displays the clothing suggestions received from the server on the display, allowing the user to confirm them.

[0445] Examples of real-time information display

[0446] Step 1:

[0447] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0448] Input: None

[0449] Output: Latest weather and news information

[0450] Specific operation: The communication device accesses the weather API and news API at regular intervals to obtain the latest information.

[0451] Step 2:

[0452] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0453] Input: Latest weather and news information

[0454] Output: Filtered information

[0455] What it does: The server uses information analysis algorithms to filter information based on the user's interests.

[0456] Step 3:

[0457] An emotion recognition device analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0458] Input: User's facial expression data

[0459] Output: Adjusted display information

[0460] Specific operation: The emotion recognition device understands the user's emotions and adjusts the information displayed and how it is expressed accordingly.

[0461] Step 4:

[0462] The device displays the filtered information on the mirror's display.

[0463] Input: Filtered information

[0464] Output: Information shown on the display

[0465] Specific operation: The device displays the filtered information on the mirror, allowing the user to visually confirm it.

[0466] Step 5:

[0467] If the user asks for more information, provide more information or related links

[0468] Input: User action (touch or voice command)

[0469] Output: Detailed information

[0470] What it does: When a user requests more information, the device provides additional information and related links.

[0471] Schedule Sync and Notification Examples

[0472] Step 1:

[0473] The terminal connects to the user's smart device via Bluetooth or WiFi.

[0474] Input: Schedule data from the user's smart device

[0475] Output: Synchronized schedule information

[0476] Specific operation: The terminal connects to the smart device via Bluetooth or WiFi and obtains schedule data.

[0477] Step 2:

[0478] The server analyzes the user's schedule information and identifies important events and reminders.

[0479] Input: Synced schedule information

[0480] Output: Information about identified important events

[0481] Specific operation: The server analyzes the schedule information and extracts particularly important events and reminders.

[0482] Step 3:

[0483] An emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications.

[0484] Input: User emotion data

[0485] Output: Adjusted notification information

[0486] Specific operation: The emotion recognition device understands the user's emotions and adjusts the content and timing of notifications based on the results.

[0487] Step 4:

[0488] The device will be identified and displayed as a pop-up notification on the mirror's display.

[0489] Input: Adjusted notification information

[0490] Output: Notifications shown on the display

[0491] What it does: It displays device-identified information as a pop-up notification on the mirror, and grabs the user's attention with audio alerts and visual effects.

[0492] Step 5:

[0493] The user sees the notification and responds using touch or voice commands.

[0494] Input: User action (touch or voice command)

[0495] Output: System behavior according to user instructions

[0496] Specific behavior: The user checks the notification, takes action by touch or voice if necessary, and the system takes action accordingly.

[0497] Through these processes, smart mirror systems can streamline users' daily lives and provide personalized experiences based on their emotions and schedules.

[0498] (Application example 2)

[0499] 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."

[0500] Existing try-on experiences in brick-and-mortar stores simply involve customers choosing and trying on their own outfits, lacking suggestions based on appropriate coordination and the latest trends. It is also difficult to provide personalized suggestions that address individual customers' emotions and needs. Therefore, there is a need to improve customer satisfaction and provide a more efficient and personalized try-on experience.

[0501] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0502] In this invention, the server includes an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data and recognizing the user's clothing, an information analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display medium for displaying the analysis results on a display, an information display device for displaying information on seasons, fashion trends, and recommended items, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone and synchronizing and displaying purchasing schedules and promotional information. This makes it possible to provide customers with personalized try-on suggestions and coordination information in real time.

[0503] An "image capture device" is a device for capturing an image of a user.

[0504] An "image recognition device" is a device that analyzes captured image data and recognizes the user's clothing.

[0505] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0506] The "display medium" is a means for displaying the analysis results on a display.

[0507] An "information display device" is a device for displaying information on seasons, fashion trends, and recommended items.

[0508] An "emotion recognition device" is a device that analyzes a user's facial expressions and provides information based on the user's emotions.

[0509] A "synchronization device" is a device that works in conjunction with a user's smartphone to synchronize and display purchase schedules and promotional information.

[0510] The "communication function" is a means for obtaining the latest weather and news information.

[0511] The "information selection mechanism" is a means for filtering acquired information and displaying it to the user.

[0512] A "device linking apparatus" is an apparatus that links with a user's smart device and synchronizes schedule information and reminders.

[0513] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[0514] The present invention is a system that optimizes a user's daily life and improves the fitting experience in a physical store. This system includes the following devices: an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data to recognize the user's outfit, an information analysis device for suggesting optimal outfits based on weather information and the user's schedule information, a display medium for displaying the analysis results on a screen, an information display device for displaying seasonal information, fashion trends, and recommended item information, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone to synchronize and display purchasing schedules and promotional information.

[0515] This system implements the following programs. First, when the user stands in front of the mirror, the device captures an image with its camera. A specific example of a camera is the Logitech C920. The captured image data is analyzed using image processing software such as OpenCV. The analyzed image data is then used by an information analysis device to recognize the user's clothing. This allows the system to suggest optimal clothing based on seasonal information, weather information, and the user's schedule. The suggestions are presented to the user on a display medium. A transparent display or the like can be used as the display medium.

[0516] Furthermore, the emotion recognition device uses a library called EmotionEngine to analyze emotions from the user's facial expressions. This information is used to suggest clothing and provide information. For example, if the user's facial expression looks happy, casual clothing will be suggested. On the other hand, if the user's facial expression looks calm, more formal clothing will be suggested.

[0517] Consider the following example: When a user is trying on a dress for a party, the system captures images and suggests the best jewelry and accessory outfits based on the weather and the user's schedule (date of the party). This information is displayed on the screen in real time.

[0518] The purchasing schedule and promotion information on the user's smartphone are also synchronized by the synchronization device and displayed in real time, allowing the user to make optimal purchasing decisions on the spot.

[0519] Finally, the following example prompt sentences are used:

[0520] "Based on the following weather information and emotion recognition results, please suggest a suitable outfit for the customer. Weather: Sunny, 19°C. Emotion: Happy expression. Image file: customer_image.jpg."

[0521] Using these devices and programs, the system is able to provide customers with personalized fitting suggestions and coordination information in real time.

[0522] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0523] Step 1:

[0524] The device captures an image with a camera when the user stands in front of the mirror. The input is the user's real-time video, and the output is the captured still image data. In operation, the camera (e.g., Logitech C920) captures the user's video and captures an image at that moment.

[0525] Step 2:

[0526] The device's image recognition device analyzes the captured image data to recognize the user's clothing. The input is the captured still image data, and the output is the recognition result of the user's clothing. Image processing software such as OpenCV is used to identify the clothing from the image.

[0527] Step 3:

[0528] The server's information analysis device uses the user's clothing recognition results, weather information, and schedule information to suggest optimal clothing. The inputs are clothing recognition results, weather information, and schedule information, and the output is optimal clothing suggestions. Specifically, it works in conjunction with weather APIs and calendar information to calculate optimal outfits.

[0529] Step 4:

[0530] The display media of the device displays the optimal outfit suggestions sent from the server to the user. The input is the optimal outfit suggestions, and the output is the outfit suggestions displayed on the display. The suggestions are projected onto a transparent display.

[0531] Step 5:

[0532] The device's emotion recognition device analyzes the user's facial expressions from images captured by the camera and recognizes emotions. The input is the captured still image data, and the output is the user's emotional information. Analysis is performed using an emotion recognition library such as EmotionEngine.

[0533] Step 6:

[0534] The server's information display device acquires information on seasons, fashion trends, and recommended items, and displays optimal information based on the user's emotions. The input is seasons, fashion trends, and user emotion information, and the output is a list of information to be displayed to the user. This is reflected on the display.

[0535] Step 7:

[0536] The synchronization device works in conjunction with the user's smartphone to synchronize purchase schedules and promotional information. The input is data from the user's smartphone, and the output is the synchronized purchase schedule and promotional information. The data is acquired using Bluetooth or WiFi and sent to the server.

[0537] Step 8:

[0538] The notification generating device generates notifications based on the synchronized information and displays them on a display medium. The input is the synchronized purchase schedule and promotion information, and the output is the generated notifications. Pop-up notifications are displayed on the display to prevent the user from missing important information.

[0539] In this way, the system provides users with personalized try-on suggestions and coordination information in real time.

[0540] 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.

[0541] 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.

[0542] 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.

[0543] [Second embodiment]

[0544] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0545] 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.

[0546] 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).

[0547] 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.

[0548] 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.

[0549] 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).

[0550] 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.

[0551] 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.

[0552] 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.

[0553] 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.

[0554] 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.

[0555] 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."

[0556] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[0557] System configuration

[0558] The system includes the following main components:

[0559] 1. Camera device: Captures an image of the user.

[0560] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0561] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0562] 4. Display device: The analysis results are displayed on the screen.

[0563] 5. Communication device: To get the latest weather and news information.

[0564] 6. Information selection device: Filters the acquired information and displays it to the user.

[0565] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0566] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0567] Program processing

[0568] The program of this system performs the process described in natural language as follows:

[0569] Example 1: Getting ready in the morning

[0570] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[0571] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0572] The terminal transmits the analyzed image data and the user's profile information to the server.

[0573] The server accesses the weather information API to obtain the current weather information, and also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0574] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[0575] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0576] Example 2: Displaying real-time information

[0577] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0578] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0579] The device then displays filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[0580] If the user wants more information, more detailed information and related links can be displayed.

[0581] Example 3: Schedule Sync and Notifications

[0582] The device connects to the user's smart device via Bluetooth or WiFi, allowing it to obtain schedule data and reminder information from the LINE app.

[0583] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0584] The device will display the identified information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[0585] Users can view notifications and respond using touch or voice commands.

[0586] With this configuration and processing, the system can streamline and enrich the user's life, for example, by shortening preparation time in the morning and helping the user start the day without missing important information.

[0587] The processing flow will be explained below.

[0588] Example 1: Getting ready in the morning

[0589] Step 1:

[0590] The user wakes up in the morning and stands in front of the mirror.

[0591] Step 2:

[0592] The camera device of the terminal captures an image of the user.

[0593] Step 3:

[0594] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0595] Step 4:

[0596] The terminal transmits the analyzed image data and the user's profile information to the server.

[0597] Step 5:

[0598] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0599] Step 6:

[0600] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[0601] Step 7:

[0602] The terminal displays the clothing suggestions sent from the server on the display, and the user checks the details of the suggested clothing and selects one.

[0603] Example 2: Displaying real-time information

[0604] Step 1:

[0605] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0606] Step 2:

[0607] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0608] Step 3:

[0609] The terminal displays the filtered information on the mirror's display.

[0610] Step 4:

[0611] If the user requests more detailed information, further information and related links are displayed on the screen.

[0612] Example 3: Schedule Sync and Notifications

[0613] Step 1:

[0614] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0615] Step 2:

[0616] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0617] Step 3:

[0618] The device will display the identified information as a pop-up notification on the mirror's display.

[0619] Step 4:

[0620] The device uses audio alerts and visual effects to grab the user's attention.

[0621] Step 5:

[0622] The user sees the notification and responds using touch and voice commands.

[0623] Example 1

[0624] 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."

[0625] The problem that this invention aims to solve is to improve the efficiency of clothing selection in users' daily lives and to integrate information management. Specifically, there is a demand for a system that suggests optimal clothing based on the weather and schedule, and a system that acquires and displays necessary information in real time and facilitates schedule management.

[0626] 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.

[0627] In this invention, the server includes an "information acquisition means," an "information analysis device," a "proposal generation device," and an "information presentation means." This allows the server to capture an image of the user, analyze the image data to recognize their outfit, and suggest the best outfit based on weather information and schedule information. It can also acquire and filter the latest weather and news information and display it to the user. Furthermore, it can synchronize schedule information and reminders with the user's electronic device and generate and display notifications.

[0628] An "imaging device" is a device for capturing an image of a user.

[0629] The "data processing device" is a device for analyzing the captured image data and recognizing the user's clothing.

[0630] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0631] The "display means" is a device for displaying the analysis results on a display.

[0632] "Communication means" refers to a device for transmitting user profile information and analysis results to the server.

[0633] The "information acquisition means" is a device for acquiring weather information and schedule information.

[0634] The "proposal generation device" is a device for generating optimal clothing proposals.

[0635] "Information communication means" refers to a device for obtaining the latest weather information and news information.

[0636] An "information selection device" is a device that filters acquired information and displays it to the user.

[0637] A "device synchronization device" is a device that works in conjunction with a user's electronic device to synchronize schedule information and reminders.

[0638] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[0639] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[0640] The system includes the following main components:

[0641] 1. Image capture device: Captures the user's image. The camera used should have high resolution and be suitable to ensure the required image quality.

[0642] 2. Data processing unit: Analyzes the captured image data and recognizes the user's clothing. Specifically, it uses image analysis libraries such as OpenCV and TensorFlow.

[0643] 3. Communication method: Image analysis results and user profile information are sent to the server via Wi-Fi or Bluetooth.

[0644] 4. Information acquisition means: Obtain weather information and schedule information from a weather information API (e.g., OpenWeatherMap API) or Google Calendar API.

[0645] 5. Information analysis device: Generates optimal outfit suggestions based on weather information and the user's schedule information. The predictive model uses Python's SciKit-Learn library.

[0646] 6. Proposal generator: A device for generating optimal clothing suggestions. For example, it makes specific suggestions such as, "It looks like it's going to rain, so we suggest a waterproof jacket and boots for you when you go out."

[0647] 7. Display: The analysis results and suggested outfits are displayed on the screen. The user can check the information displayed on the screen and make a selection.

[0648] 8. Information and communication methods: Regularly obtain the latest weather and news information. Use WiFi for communication.

[0649] 9. Information filter: Filters the acquired information and converts it into information that users are likely to be interested in. Python's NLTK library is used for natural language processing.

[0650] 10. Device Sync Device: Connects to the user's electronic devices and synchronizes schedule information and reminders. It obtains data from the LINE app and Google Calendar.

[0651] 11. Notification Generator: Generates notifications based on the synchronized information and displays them on the mirror's display. Notifies the user using audio alerts and visual effects.

[0652] Specific examples

[0653] Example 1: Getting ready in the morning

[0654] When a user wakes up in the morning and stands in front of the mirror, the imaging device of the terminal captures an image of the user.

[0655] The terminal's data processor analyzes the captured image and recognizes the user's current attire.

[0656] The terminal transmits the image analysis results and the user's profile information to the server.

[0657] The server accesses the weather information API to get the current weather information and checks the user's schedule.

[0658] The server suggests the best outfit based on weather and schedule information.

[0659] The terminal displays the clothing suggestions on the display, and the user checks the suggested clothing.

[0660] Example 2: Displaying real-time information

[0661] The terminal's information and communication means periodically obtains the latest weather and news information.

[0662] The server analyzes the acquired information and performs filtering.

[0663] The device displays the filtered information on the mirror's display, where the user can check the displayed information.

[0664] Example 3: Schedule Sync and Notifications

[0665] The device connects to the user's electronic device via Bluetooth or WiFi to obtain schedule and reminder information.

[0666] The server analyzes your schedule and identifies important events and reminders.

[0667] The terminal uses a notification generator to display the identified information as a pop-up notification on the mirror's display.

[0668] Users can respond to notifications using touch or voice commands.

[0669] Examples of prompt statements

[0670] Here are some examples of prompts to input to a generative AI model:

[0671] "Describe a system in which, when a user wakes up in the morning and stands in front of a smart mirror, the mirror recognizes the user's current outfit and suggests the most appropriate outfit based on the weather and schedule. For example, explain a specific scenario in which the mirror suggests a waterproof jacket when the user stands in front of the mirror on a rainy day."

[0672] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0673] Step 1:

[0674] The user wakes up in the morning and stands in front of the smart mirror.

[0675] Input: User appearance

[0676] How it works: The device's imaging device automatically detects the user's presence and captures an image.

[0677] Output: High resolution captured user image

[0678] Step 2:

[0679] A data processing unit of the terminal analyzes the captured images.

[0680] Input: Captured user image

[0681] How it works: It uses image analysis libraries such as OpenCV and TensorFlow to identify the user's face and clothing using facial recognition and object detection algorithms.

[0682] Output: User's clothing data (e.g., type and color of shirt and pants)

[0683] Step 3:

[0684] The terminal transmits the analyzed clothing data and the user's profile information to the server.

[0685] Input: Analyzed clothing data, user profile information

[0686] How it works: Sends data using WiFi or Bluetooth.

[0687] Output: Analytics data and profile information sent to the server

[0688] Step 4:

[0689] The server accesses the API to get weather information.

[0690] Input: User's location information

[0691] Operation: Accesses a weather information API (e.g. OpenWeatherMap API) to obtain current weather information.

[0692] Output: Current weather information

[0693] Step 5:

[0694] The server accesses the API to obtain the schedule information.

[0695] Input: User's schedule information

[0696] What it does: Checks the user's schedule for the day using the Google Calendar API, etc.

[0697] Output: User's schedule for the day

[0698] Step 6:

[0699] The server's information analysis device generates optimal clothing suggestions based on weather information and schedule information.

[0700] Input: Weather information, schedule information, user clothing data

[0701] How it works: Runs an algorithm to generate optimal outfits using SciKit-Learn predictive models.

[0702] Output: Best outfit suggestions (e.g. formal shirt and jacket)

[0703] Step 7:

[0704] The terminal uses the display means to display the clothing suggestions received from the server on the display.

[0705] Input: Clothing suggestion data sent from the server

[0706] Operation: Shows clothing suggestions on the display and provides information to the user.

[0707] Output: Clothing suggestions displayed on the mirror

[0708] Step 8:

[0709] The terminal's information and communication means periodically obtains the latest weather and news information.

[0710] Input: Internet connection

[0711] How it works: Uses WiFi to periodically retrieve updated information from the internet.

[0712] Output: Latest weather and news information

[0713] Step 9:

[0714] The server analyzes the information obtained and filters it based on the user's interests.

[0715] Input: Latest weather and news information

[0716] How it works: It uses Python's NLTK library to categorize information and select information that is relevant to the user.

[0717] Output: Filtered information

[0718] Step 10:

[0719] The terminal displays the filtered information on the display.

[0720] Input: Filtered information

[0721] Operation: Displays information on the display and presents it to the user.

[0722] Output: Filtering information displayed in the mirror

[0723] Step 11:

[0724] The terminal works in conjunction with the user's electronic device to synchronize schedule information and reminders.

[0725] Input: Schedule data from the user's electronic device

[0726] How it works: Retrieves data from the LINE app and Google Calendar via Bluetooth or WiFi.

[0727] Output: Synced schedule and reminder information

[0728] Step 12:

[0729] The server analyzes the synchronized schedule information and identifies important events and reminders.

[0730] Input: Synced schedule information

[0731] Action: Use predictive models or rules engines to identify key information.

[0732] Output: Important events and reminders

[0733] Step 13:

[0734] The device generates and displays a notification based on the identified information.

[0735] Input: Important event and reminder information

[0736] What it does: Uses a notification generator to display a pop-up notification on the display and notifies the user using audio alerts and visual effects.

[0737] Output: Notification information displayed on the mirror, audio alerts

[0738] (Application example 1)

[0739] 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."

[0740] Previous smart mirror systems provided clothing suggestions and weather information to optimize users' daily lives, but they lacked functionality to enhance the shopping experience in brick-and-mortar stores. Furthermore, they were unable to suggest coordination options with other items for clothes customers tried on in the store, limiting customers' fashion choices. Furthermore, they were unable to provide real-time style suggestions based on weather conditions or the latest fashion information.

[0741] 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.

[0742] In this invention, the server includes an imaging device for capturing an image of a user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule information, a display device for displaying the analysis results, a proposal generation device for generating proposals combining the clothing with other items and accessories in the store, a communication device for acquiring the latest weather information and news information, an information selection device for selecting the acquired information and displaying it to the user, a style proposal device for making style proposals based on current weather conditions and the latest fashion information, a collaboration device for linking with the user's information terminal and synchronizing schedule information, reminders, and shopping information, and a notification device for generating and displaying notifications based on the synchronized information, thereby improving the customer's shopping experience in a physical store, enabling suggestions for coordinating outfits with other items and accessories, and enabling real-time style proposals.

[0743] An "imaging device" is a device for capturing an image of a user.

[0744] An "image processing device" is a device that analyzes captured image data and recognizes the user's clothing.

[0745] The "analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[0746] A "display device" is a device for displaying the analysis results.

[0747] A "proposal generator" is a device for generating proposals in combination with other items and accessories in a store.

[0748] A "communication device" is a device for obtaining the latest weather and news information.

[0749] An "information selection device" is a device that selects acquired information and displays it to the user.

[0750] A "style suggestion device" is a device that makes style suggestions based on current weather conditions and the latest fashion information.

[0751] A "linked device" is a device that links with a user's information terminal and synchronizes schedule information, reminders, and shopping information.

[0752] A "notification device" is a device for generating and displaying notifications based on synchronized information.

[0753] This invention relates to a smart mirror system for enriching users' daily lives, but can also be applied to improving the shopping experience in brick-and-mortar stores. The system is composed of an imaging device, an image processing device, an analysis device, a display device, a suggestion generation device, a communication device, an information selection device, a style suggestion device, a collaboration device, and a notification device.

[0754] Hardware and software used

[0755] Imaging device: A camera (e.g., Logitech C920) for capturing an image of the user.

[0756] Image processing device: A computer device that analyzes the captured image data and recognizes the user's clothing. Here, an image processing library such as OpenCV is used.

[0757] Analysis device: A server that suggests optimal clothing based on weather information and the user's schedule. To obtain weather information, it uses the OpenWeatherMap API, etc.

[0758] Display device: A display for showing the analysis results (e.g., part of a smart mirror).

[0759] Proposal Generator: A server for generating fashion suggestions in combination with other items and accessories in the store.

[0760] Communications device: A means of network connection to obtain the latest weather and news information.

[0761] Information filtering device: A device for filtering acquired information and displaying it to the user.

[0762] Style suggestion device: A device that makes style suggestions based on current weather conditions and the latest fashion information.

[0763] Linkage device: A device that links with a user's information terminal such as a smartphone to synchronize schedule information, reminders, and shopping information.

[0764] Notification device: A device for generating and displaying notifications based on synchronized information.

[0765] Specific examples of processing

[0766] 1. When a user stands in front of a store's smart mirror, the image capture device captures an image of the user.

[0767] 2. The image processing device analyzes the captured image data and recognizes the user's current clothing.

[0768] 3. The analysis device accesses the weather information API to obtain current weather information. It also references the store's calendar information and checks event information.

[0769] 4. The proposal generator generates optimal fashion proposals that combine with other items and accessories offered in the store.

[0770] 5. The display device displays the generated fashion suggestions on the display.

[0771] 6. The communication device periodically connects to the Internet to obtain the latest weather and news information.

[0772] 7. The information selection device analyzes the acquired information and selects the information based on the interests and importance set by the user.

[0773] 8. The style suggestion device provides real-time style suggestions based on current weather conditions and the latest fashion information.

[0774] 9. The linked device synchronizes with the user's smartphone to obtain schedule information, reminders, and shopping information.

[0775] 10. The notification device identifies important events and reminders and displays them as pop-up notifications on the display.

[0776] Prompt Sentence Examples

[0777] "Analyze the customer's current clothing style and suggest the best outfit based on the latest weather information."

[0778] This embodiment enhances the customer's shopping experience in a physical store, allows for suggestions on coordinating items with other items and accessories, and keeps customers up to date with the latest fashion trends through real-time style suggestions.

[0779] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0780] Step 1:

[0781] When a user stands in front of a store's smart mirror, the camera captures the user's image. The input is the user's appearance, and the output is the captured image data. Specifically, the camera automatically captures the image and sends the image data to the system.

[0782] Step 2:

[0783] The image processing device analyzes the captured image data and recognizes the user's current clothing. The input is the captured image data, and the output is the recognized clothing information. Specifically, it uses the OpenCV library to extract clothing features from the image and applies a recognition algorithm to determine the type of clothing.

[0784] Step 3:

[0785] The analysis device accesses the weather information API to obtain current weather information. It also references the in-store calendar information and checks event information. The input is a request to the weather information API and calendar information, and the output is current weather information and event information. Specifically, an API request is sent and the obtained data is returned to the analysis device.

[0786] Step 4:

[0787] The proposal generator generates optimal fashion proposals that combine the recognized clothing with other items and accessories offered in the store. The input is recognized clothing information, weather information, and event information, and the output is optimal fashion proposals. Specifically, the combination proposal algorithm generates proposals based on this information.

[0788] Step 5:

[0789] The display device displays the generated fashion suggestions on a display. The input is the fashion suggestions, and the output is visual information displayed on the display. As a specific operation, data is sent to the display device and visualized.

[0790] Step 6:

[0791] A communication device periodically connects to the Internet to obtain the latest weather and news information. The input is an Internet connection and an information request, and the output is the obtained information. Specifically, the device accesses a communication endpoint to obtain the required information.

[0792] Step 7:

[0793] The information filtering device analyzes the acquired information and selects it based on the interests and importance set by the user. The input is the acquired weather information and news information, and the output is the selected information. Specifically, a filtering algorithm analyzes this information and selects it based on the user's interests.

[0794] Step 8:

[0795] The style suggestion device makes real-time style suggestions based on current weather conditions and the latest fashion information. The input is weather conditions and fashion information, and the output is style suggestions. Specifically, the suggestion algorithm analyzes the data and suggests appropriate styles in real time.

[0796] Step 9:

[0797] The linked device synchronizes with the user's smartphone and obtains schedule information, reminders, and shopping information. The input is data from the user's smartphone, and the output is synchronized schedule information, reminders, and shopping information. Specifically, data synchronization is performed using Bluetooth or WiFi.

[0798] Step 10:

[0799] The notification device identifies important events and reminders and displays them as pop-up notifications on the display. The input is the synchronized schedule information and reminders, and the output is the displayed notification. Specifically, the notification algorithm analyzes the important information and sends the data to the display device to display the notification.

[0800] 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.

[0801] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[0802] System configuration

[0803] The system includes the following main components:

[0804] 1. Camera device: Captures an image of the user.

[0805] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0806] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0807] 4. Display device: The analysis results are displayed on the screen.

[0808] 5. Communication device: To get the latest weather and news information.

[0809] 6. Information selection device: Filters the acquired information and displays it to the user.

[0810] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0811] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0812] 9. Emotion engine: Analyzes the user's facial expressions and recognizes emotions.

[0813] Program processing

[0814] The program of this system performs the process described in natural language as follows:

[0815] Example 1: Getting ready in the morning

[0816] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[0817] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0818] At the same time, the emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g., tired, energetic).

[0819] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[0820] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0821] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[0822] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0823] Example 2: Displaying real-time information

[0824] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0825] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0826] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0827] The device will then display filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[0828] If the user wants more information, more detailed information and related links can be displayed.

[0829] Example 3: Schedule Sync and Notifications

[0830] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0831] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0832] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[0833] The device will display device-specific information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[0834] Users can view notifications and respond using touch or voice commands.

[0835] With this configuration and processing, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as suggesting clothing, displaying information, and managing schedules based on the user's emotions.

[0836] The processing flow will be explained below.

[0837] Example 1: Getting ready in the morning

[0838] Step 1:

[0839] The user wakes up in the morning and stands in front of the mirror.

[0840] Step 2:

[0841] The camera device of the terminal captures an image of the user.

[0842] Step 3:

[0843] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[0844] Step 4:

[0845] The emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g. tired, energetic).

[0846] Step 5:

[0847] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[0848] Step 6:

[0849] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[0850] Step 7:

[0851] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[0852] Step 8:

[0853] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[0854] Example 2: Displaying real-time information

[0855] Step 1:

[0856] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0857] Step 2:

[0858] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0859] Step 3:

[0860] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0861] Step 4:

[0862] The device displays filtered information on the mirror display (e.g., using calmer colors if you are tired).

[0863] Step 5:

[0864] If the user requests more detailed information, further information and related links are displayed on the screen.

[0865] Example 3: Schedule Sync and Notifications

[0866] Step 1:

[0867] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[0868] Step 2:

[0869] The server analyzes the user's schedule information and identifies important appointments and reminders.

[0870] Step 3:

[0871] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[0872] Step 4:

[0873] The device will display the identified information as a pop-up notification on the mirror's display.

[0874] Step 5:

[0875] The device uses audio alerts and visual effects to grab the user's attention.

[0876] Step 6:

[0877] The user sees the notification and responds using touch and voice commands.

[0878] Example 2

[0879] 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."

[0880] Conventional smart mirror systems only suggest clothing and display weather information, but are unable to provide personalized services based on the user's emotions or daily schedule. Therefore, in order to further improve the efficiency and enrichment of users' daily lives, more comprehensive and personalized information provision is required.

[0881] 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.

[0882] In this invention, the server includes a camera device for capturing an image of the user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display device for displaying the analysis results on a display, and an emotion recognition device for analyzing the user's emotions and adjusting the content of information and notifications. This makes it possible to provide more personalized information based on the user's emotions and schedule.

[0883] A "camera device" is a photographic device for capturing an image of a user.

[0884] The "image processing device" is a computer device that analyzes the captured image data and recognizes the user's clothing.

[0885] The "analysis device" is a data analysis device that suggests optimal clothing based on weather information and the user's schedule information.

[0886] The "display device" is a display device for visually presenting the analysis results to the user.

[0887] An "emotion recognition device" is a device that analyzes a user's facial expression and recognizes the emotion.

[0888] A "communication device" is a communication device that connects to the Internet and obtains the latest weather and news information.

[0889] The "information selection device" is a device for filtering acquired information and selecting appropriate information to display to the user.

[0890] A "linked device" is a communication device that links with a user's smart device and synchronizes schedule information and reminders.

[0891] A "notification device" is a device that generates notifications based on synchronized information and notifies the user visually or audibly.

[0892] MODE FOR CARRYING OUT THE INVENTION

[0893] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures a user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[0894] System configuration

[0895] The system includes the following main components:

[0896] 1. Camera device: Captures an image of the user.

[0897] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[0898] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[0899] 4. Display device: The analysis results are displayed on the screen.

[0900] 5. Communication device: To get the latest weather and news information.

[0901] 6. Information selection device: Filters the acquired information and displays it to the user.

[0902] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[0903] 8. Notification device: Generates and displays notifications based on the synchronized information.

[0904] 9. Emotion recognition device: Analyzes the user's facial expressions and recognizes emotions.

[0905] Example of a system

[0906] Example 1: Getting ready in the morning

[0907] When a user wakes up in the morning and stands in front of the mirror, the device's camera captures an image of the user. The device's image processing device analyzes the captured image data using deep learning and recognizes the user's current outfit. The emotion recognition device analyzes the user's facial expressions and recognizes their emotions. This data is sent from the device to a server, and the server accesses a weather information API (e.g., OpenWeatherMap API) to obtain current weather information. The server also references the user's calendar information and checks the user's schedule for the day. Based on this information, the server suggests optimal outfits, which the device displays on its screen.

[0908] Example prompt sentence:

[0909] "Design a system that gathers the information necessary to suggest morning outfits and provides optimal suggestions to users."

[0910] Example 2: Displaying real-time information

[0911] The device's communications device periodically connects to the Internet and retrieves the latest weather and news information from an API. The server analyzes the retrieved information and filters it based on the interests and importance set by the user. The emotion recognition device then analyzes the user's current emotions and adjusts the content and presentation of the information displayed. The device then displays the filtered information on the mirror's display. For example, it may display a weather forecast such as "Today's weather is sunny," sports game results, or important news.

[0912] Example prompt sentence:

[0913] "Design a system that filters and displays information based on the user's real-time emotions."

[0914] Example 3: Schedule Sync and Notifications

[0915] The device connects to the user's smart device via Bluetooth or WiFi. This connection retrieves schedule data and reminder information from apps such as LINE. The server analyzes the user's schedule information and identifies important events and reminders. The emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications. For example, if the user is very tired, the notification may be delayed slightly. The device displays the identified information as a pop-up notification on the mirror's display, and uses audio alerts and visual effects to attract the user's attention.

[0916] Example prompt sentence:

[0917] "Design a system that captures the user's schedule and adjusts the content and timing of notifications based on their emotions."

[0918] With these configurations and operations, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as providing information and suggesting clothing based on the user's emotions and schedule.

[0919] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0920] Specific examples of getting ready in the morning

[0921] Step 1:

[0922] The user stands in front of a mirror

[0923] Input: None

[0924] Output: The device's camera is activated.

[0925] Specific operation: The system starts when the user stands in front of the mirror, and the camera device automatically starts up.

[0926] Step 2:

[0927] The device's camera captures an image of the user.

[0928] Input: User posture and movement

[0929] Output: Captured image data

[0930] Specific operation: A high-resolution camera captures the user's entire body, and the captured image is sent to an image processing device.

[0931] Step 3:

[0932] The device's image processing unit analyzes the captured image data and recognizes the clothing.

[0933] Input: Captured image data

[0934] Output: Recognized clothing information

[0935] Specific operation: The image processing device uses a deep learning model (e.g., TensorFlow) to analyze the user's clothing and output the results in data format.

[0936] Step 4:

[0937] The emotion recognition device analyzes the user's facial expressions and recognizes their emotions.

[0938] Input: User's captured facial image data

[0939] Output: Recognized emotion information

[0940] Specific operation: The emotion recognition device uses a facial expression analysis algorithm (e.g., OpenCV or Face++) to analyze the user's facial expression and identify the emotion.

[0941] Step 5:

[0942] The device sends the analyzed image data and emotional information to the server.

[0943] Input: Image data, clothing information, emotional information

[0944] Output: Send data to the server

[0945] Specific operation: The terminal collects all data and sends it to the server via the network.

[0946] Step 6:

[0947] The server accesses the weather information API and retrieves the current weather information.

[0948] Input: User's location

[0949] Output: Current weather information

[0950] Specific operation: The server accesses a weather information API (e.g., OpenWeatherMap) and obtains current weather information.

[0951] Step 7:

[0952] The server references the user's calendar information and checks the schedule for the day.

[0953] Input: User's calendar information

[0954] Output: Today's schedule information

[0955] Specific operation: The server uses the Google Calendar API to look up the user's schedule and check important events for the day.

[0956] Step 8:

[0957] The server suggests the best outfit based on weather, schedule, and emotional information.

[0958] Input: Weather information, schedule information, emotion information

[0959] Output: Clothing suggestion data

[0960] How it works: The server aggregates all the information and uses an algorithm to suggest the best outfit for the user (e.g., a formal shirt and jacket).

[0961] Step 9:

[0962] The device displays suggested outfits on the screen.

[0963] Input: Clothing suggestion data

[0964] Output: Clothing information displayed on the screen

[0965] Specific operation: The terminal displays the clothing suggestions received from the server on the display, allowing the user to confirm them.

[0966] Examples of real-time information display

[0967] Step 1:

[0968] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[0969] Input: None

[0970] Output: Latest weather and news information

[0971] Specific operation: The communication device accesses the weather API and news API at regular intervals to obtain the latest information.

[0972] Step 2:

[0973] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[0974] Input: Latest weather and news information

[0975] Output: Filtered information

[0976] What it does: The server uses information analysis algorithms to filter information based on the user's interests.

[0977] Step 3:

[0978] An emotion recognition device analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[0979] Input: User's facial expression data

[0980] Output: Adjusted display information

[0981] Specific operation: The emotion recognition device understands the user's emotions and adjusts the information displayed and how it is expressed accordingly.

[0982] Step 4:

[0983] The device displays the filtered information on the mirror's display.

[0984] Input: Filtered information

[0985] Output: Information shown on the display

[0986] Specific operation: The device displays the filtered information on the mirror, allowing the user to visually confirm it.

[0987] Step 5:

[0988] If the user asks for more information, provide more information or related links

[0989] Input: User action (touch or voice command)

[0990] Output: Detailed information

[0991] What it does: When a user requests more information, the device provides additional information and related links.

[0992] Schedule Sync and Notification Examples

[0993] Step 1:

[0994] The terminal connects to the user's smart device via Bluetooth or WiFi.

[0995] Input: Schedule data from the user's smart device

[0996] Output: Synchronized schedule information

[0997] Specific operation: The terminal connects to the smart device via Bluetooth or WiFi and obtains schedule data.

[0998] Step 2:

[0999] The server analyzes the user's schedule information and identifies important events and reminders.

[1000] Input: Synced schedule information

[1001] Output: Information about identified important events

[1002] Specific operation: The server analyzes the schedule information and extracts particularly important events and reminders.

[1003] Step 3:

[1004] An emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications.

[1005] Input: User emotion data

[1006] Output: Adjusted notification information

[1007] Specific operation: The emotion recognition device understands the user's emotions and adjusts the content and timing of notifications based on the results.

[1008] Step 4:

[1009] The device will be identified and displayed as a pop-up notification on the mirror's display.

[1010] Input: Adjusted notification information

[1011] Output: Notifications shown on the display

[1012] What it does: It displays device-identified information as a pop-up notification on the mirror, and grabs the user's attention with audio alerts and visual effects.

[1013] Step 5:

[1014] The user sees the notification and responds using touch or voice commands.

[1015] Input: User action (touch or voice command)

[1016] Output: System behavior according to user instructions

[1017] Specific behavior: The user checks the notification, takes action by touch or voice if necessary, and the system takes action accordingly.

[1018] Through these processes, smart mirror systems can streamline users' daily lives and provide personalized experiences based on their emotions and schedules.

[1019] (Application example 2)

[1020] 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."

[1021] Existing try-on experiences in brick-and-mortar stores simply involve customers choosing and trying on their own outfits, lacking suggestions based on appropriate coordination and the latest trends. It is also difficult to provide personalized suggestions that address individual customers' emotions and needs. Therefore, there is a need to improve customer satisfaction and provide a more efficient and personalized try-on experience.

[1022] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1023] In this invention, the server includes an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data and recognizing the user's clothing, an information analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display medium for displaying the analysis results on a display, an information display device for displaying information on seasons, fashion trends, and recommended items, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone and synchronizing and displaying purchasing schedules and promotional information. This makes it possible to provide customers with personalized try-on suggestions and coordination information in real time.

[1024] An "image capture device" is a device for capturing an image of a user.

[1025] An "image recognition device" is a device that analyzes captured image data and recognizes the user's clothing.

[1026] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1027] The "display medium" is a means for displaying the analysis results on a display.

[1028] An "information display device" is a device for displaying information on seasons, fashion trends, and recommended items.

[1029] An "emotion recognition device" is a device that analyzes a user's facial expressions and provides information based on the user's emotions.

[1030] A "synchronization device" is a device that works in conjunction with a user's smartphone to synchronize and display purchase schedules and promotional information.

[1031] The "communication function" is a means for obtaining the latest weather and news information.

[1032] The "information selection mechanism" is a means for filtering acquired information and displaying it to the user.

[1033] A "device linking apparatus" is an apparatus that links with a user's smart device and synchronizes schedule information and reminders.

[1034] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[1035] The present invention is a system that optimizes a user's daily life and improves the fitting experience in a physical store. This system includes the following devices: an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data to recognize the user's outfit, an information analysis device for suggesting optimal outfits based on weather information and the user's schedule information, a display medium for displaying the analysis results on a screen, an information display device for displaying seasonal information, fashion trends, and recommended item information, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone to synchronize and display purchasing schedules and promotional information.

[1036] This system implements the following programs. First, when the user stands in front of the mirror, the device captures an image with its camera. A specific example of a camera is the Logitech C920. The captured image data is analyzed using image processing software such as OpenCV. The analyzed image data is then used by an information analysis device to recognize the user's clothing. This allows the system to suggest optimal clothing based on seasonal information, weather information, and the user's schedule. The suggestions are presented to the user on a display medium. A transparent display or the like can be used as the display medium.

[1037] Furthermore, the emotion recognition device uses a library called EmotionEngine to analyze emotions from the user's facial expressions. This information is used to suggest clothing and provide information. For example, if the user's facial expression looks happy, casual clothing will be suggested. On the other hand, if the user's facial expression looks calm, more formal clothing will be suggested.

[1038] Consider the following example: When a user is trying on a dress for a party, the system captures images and suggests the best jewelry and accessory outfits based on the weather and the user's schedule (date of the party). This information is displayed on the screen in real time.

[1039] The purchasing schedule and promotion information on the user's smartphone are also synchronized by the synchronization device and displayed in real time, allowing the user to make optimal purchasing decisions on the spot.

[1040] Finally, the following example prompt sentences are used:

[1041] "Based on the following weather information and emotion recognition results, please suggest a suitable outfit for the customer. Weather: Sunny, 19°C. Emotion: Happy expression. Image file: customer_image.jpg."

[1042] Using these devices and programs, the system is able to provide customers with personalized fitting suggestions and coordination information in real time.

[1043] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1044] Step 1:

[1045] The device captures an image with a camera when the user stands in front of the mirror. The input is the user's real-time video, and the output is the captured still image data. In operation, the camera (e.g., Logitech C920) captures the user's video and captures an image at that moment.

[1046] Step 2:

[1047] The device's image recognition device analyzes the captured image data to recognize the user's clothing. The input is the captured still image data, and the output is the recognition result of the user's clothing. Image processing software such as OpenCV is used to identify the clothing from the image.

[1048] Step 3:

[1049] The server's information analysis device uses the user's clothing recognition results, weather information, and schedule information to suggest optimal clothing. The inputs are clothing recognition results, weather information, and schedule information, and the output is optimal clothing suggestions. Specifically, it works in conjunction with weather APIs and calendar information to calculate optimal outfits.

[1050] Step 4:

[1051] The display media of the device displays the optimal outfit suggestions sent from the server to the user. The input is the optimal outfit suggestions, and the output is the outfit suggestions displayed on the display. The suggestions are projected onto a transparent display.

[1052] Step 5:

[1053] The device's emotion recognition device analyzes the user's facial expressions from images captured by the camera and recognizes emotions. The input is the captured still image data, and the output is the user's emotional information. Analysis is performed using an emotion recognition library such as EmotionEngine.

[1054] Step 6:

[1055] The server's information display device acquires information on seasons, fashion trends, and recommended items, and displays optimal information based on the user's emotions. The input is seasons, fashion trends, and user emotion information, and the output is a list of information to be displayed to the user. This is reflected on the display.

[1056] Step 7:

[1057] The synchronization device works in conjunction with the user's smartphone to synchronize purchase schedules and promotional information. The input is data from the user's smartphone, and the output is the synchronized purchase schedule and promotional information. The data is acquired using Bluetooth or WiFi and sent to the server.

[1058] Step 8:

[1059] The notification generating device generates notifications based on the synchronized information and displays them on a display medium. The input is the synchronized purchase schedule and promotion information, and the output is the generated notifications. Pop-up notifications are displayed on the display to prevent the user from missing important information.

[1060] In this way, the system provides users with personalized try-on suggestions and coordination information in real time.

[1061] 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.

[1062] 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.

[1063] 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.

[1064] [Third embodiment]

[1065] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1066] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1067] 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).

[1068] 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.

[1069] 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.

[1070] 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).

[1071] 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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.

[1076] 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."

[1077] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[1078] System configuration

[1079] The system includes the following main components:

[1080] 1. Camera device: Captures an image of the user.

[1081] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1082] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1083] 4. Display device: The analysis results are displayed on the screen.

[1084] 5. Communication device: To get the latest weather and news information.

[1085] 6. Information selection device: Filters the acquired information and displays it to the user.

[1086] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1087] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1088] Program processing

[1089] The program of this system performs the process described in natural language as follows:

[1090] Example 1: Getting ready in the morning

[1091] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[1092] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1093] The terminal transmits the analyzed image data and the user's profile information to the server.

[1094] The server accesses the weather information API to obtain the current weather information, and also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1095] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[1096] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1097] Example 2: Displaying real-time information

[1098] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1099] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1100] The device then displays filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[1101] If the user wants more information, more detailed information and related links can be displayed.

[1102] Example 3: Schedule Sync and Notifications

[1103] The device connects to the user's smart device via Bluetooth or WiFi, allowing it to obtain schedule data and reminder information from the LINE app.

[1104] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1105] The device will display the identified information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[1106] Users can view notifications and respond using touch or voice commands.

[1107] With this configuration and processing, the system can streamline and enrich the user's life, for example, by shortening preparation time in the morning and helping the user start the day without missing important information.

[1108] The processing flow will be explained below.

[1109] Example 1: Getting ready in the morning

[1110] Step 1:

[1111] The user wakes up in the morning and stands in front of the mirror.

[1112] Step 2:

[1113] The camera device of the terminal captures an image of the user.

[1114] Step 3:

[1115] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1116] Step 4:

[1117] The terminal transmits the analyzed image data and the user's profile information to the server.

[1118] Step 5:

[1119] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1120] Step 6:

[1121] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[1122] Step 7:

[1123] The terminal displays the clothing suggestions sent from the server on the display, and the user checks the details of the suggested clothing and selects one.

[1124] Example 2: Displaying real-time information

[1125] Step 1:

[1126] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1127] Step 2:

[1128] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1129] Step 3:

[1130] The terminal displays the filtered information on the mirror's display.

[1131] Step 4:

[1132] If the user requests more detailed information, further information and related links are displayed on the screen.

[1133] Example 3: Schedule Sync and Notifications

[1134] Step 1:

[1135] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1136] Step 2:

[1137] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1138] Step 3:

[1139] The device will display the identified information as a pop-up notification on the mirror's display.

[1140] Step 4:

[1141] The device uses audio alerts and visual effects to grab the user's attention.

[1142] Step 5:

[1143] The user sees the notification and responds using touch and voice commands.

[1144] Example 1

[1145] 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."

[1146] The problem that this invention aims to solve is to improve the efficiency of clothing selection in users' daily lives and to integrate information management. Specifically, there is a demand for a system that suggests optimal clothing based on the weather and schedule, and a system that acquires and displays necessary information in real time and facilitates schedule management.

[1147] 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.

[1148] In this invention, the server includes an "information acquisition means," an "information analysis device," a "proposal generation device," and an "information presentation means." This allows the server to capture an image of the user, analyze the image data to recognize their outfit, and suggest the best outfit based on weather information and schedule information. It can also acquire and filter the latest weather and news information and display it to the user. Furthermore, it can synchronize schedule information and reminders with the user's electronic device and generate and display notifications.

[1149] An "imaging device" is a device for capturing an image of a user.

[1150] The "data processing device" is a device for analyzing the captured image data and recognizing the user's clothing.

[1151] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1152] The "display means" is a device for displaying the analysis results on a display.

[1153] "Communication means" refers to a device for transmitting user profile information and analysis results to the server.

[1154] The "information acquisition means" is a device for acquiring weather information and schedule information.

[1155] The "proposal generation device" is a device for generating optimal clothing proposals.

[1156] "Information communication means" refers to a device for obtaining the latest weather information and news information.

[1157] An "information selection device" is a device that filters acquired information and displays it to the user.

[1158] A "device synchronization device" is a device that works in conjunction with a user's electronic device to synchronize schedule information and reminders.

[1159] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[1160] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[1161] The system includes the following main components:

[1162] 1. Image capture device: Captures the user's image. The camera used should have high resolution and be suitable to ensure the required image quality.

[1163] 2. Data processing unit: Analyzes the captured image data and recognizes the user's clothing. Specifically, it uses image analysis libraries such as OpenCV and TensorFlow.

[1164] 3. Communication method: Image analysis results and user profile information are sent to the server via Wi-Fi or Bluetooth.

[1165] 4. Information acquisition means: Obtain weather information and schedule information from a weather information API (e.g., OpenWeatherMap API) or Google Calendar API.

[1166] 5. Information analysis device: Generates optimal outfit suggestions based on weather information and the user's schedule information. The predictive model uses Python's SciKit-Learn library.

[1167] 6. Proposal generator: A device for generating optimal clothing suggestions. For example, it makes specific suggestions such as, "It looks like it's going to rain, so we suggest a waterproof jacket and boots for you when you go out."

[1168] 7. Display: The analysis results and suggested outfits are displayed on the screen. The user can check the information displayed on the screen and make a selection.

[1169] 8. Information and communication methods: Regularly obtain the latest weather and news information. Use WiFi for communication.

[1170] 9. Information filter: Filters the acquired information and converts it into information that users are likely to be interested in. Python's NLTK library is used for natural language processing.

[1171] 10. Device Sync Device: Connects to the user's electronic devices and synchronizes schedule information and reminders. It obtains data from the LINE app and Google Calendar.

[1172] 11. Notification Generator: Generates notifications based on the synchronized information and displays them on the mirror's display. Notifies the user using audio alerts and visual effects.

[1173] Specific examples

[1174] Example 1: Getting ready in the morning

[1175] When a user wakes up in the morning and stands in front of the mirror, the imaging device of the terminal captures an image of the user.

[1176] The terminal's data processor analyzes the captured image and recognizes the user's current attire.

[1177] The terminal transmits the image analysis results and the user's profile information to the server.

[1178] The server accesses the weather information API to get the current weather information and checks the user's schedule.

[1179] The server suggests the best outfit based on weather and schedule information.

[1180] The terminal displays the clothing suggestions on the display, and the user checks the suggested clothing.

[1181] Example 2: Displaying real-time information

[1182] The terminal's information and communication means periodically obtains the latest weather and news information.

[1183] The server analyzes the acquired information and performs filtering.

[1184] The device displays the filtered information on the mirror's display, where the user can check the displayed information.

[1185] Example 3: Schedule Sync and Notifications

[1186] The device connects to the user's electronic device via Bluetooth or WiFi to obtain schedule and reminder information.

[1187] The server analyzes your schedule and identifies important events and reminders.

[1188] The terminal uses a notification generator to display the identified information as a pop-up notification on the mirror's display.

[1189] Users can respond to notifications using touch or voice commands.

[1190] Examples of prompt statements

[1191] Here are some examples of prompts to input to a generative AI model:

[1192] "Describe a system in which, when a user wakes up in the morning and stands in front of a smart mirror, the mirror recognizes the user's current outfit and suggests the most appropriate outfit based on the weather and schedule. For example, explain a specific scenario in which the mirror suggests a waterproof jacket when the user stands in front of the mirror on a rainy day."

[1193] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1194] Step 1:

[1195] The user wakes up in the morning and stands in front of the smart mirror.

[1196] Input: User appearance

[1197] How it works: The device's imaging device automatically detects the user's presence and captures an image.

[1198] Output: High resolution captured user image

[1199] Step 2:

[1200] A data processing unit of the terminal analyzes the captured images.

[1201] Input: Captured user image

[1202] How it works: It uses image analysis libraries such as OpenCV and TensorFlow to identify the user's face and clothing using facial recognition and object detection algorithms.

[1203] Output: User's clothing data (e.g., type and color of shirt and pants)

[1204] Step 3:

[1205] The terminal transmits the analyzed clothing data and the user's profile information to the server.

[1206] Input: Analyzed clothing data, user profile information

[1207] How it works: Sends data using WiFi or Bluetooth.

[1208] Output: Analytics data and profile information sent to the server

[1209] Step 4:

[1210] The server accesses the API to get weather information.

[1211] Input: User's location information

[1212] Operation: Accesses a weather information API (e.g. OpenWeatherMap API) to obtain current weather information.

[1213] Output: Current weather information

[1214] Step 5:

[1215] The server accesses the API to obtain the schedule information.

[1216] Input: User's schedule information

[1217] What it does: Checks the user's schedule for the day using the Google Calendar API, etc.

[1218] Output: User's schedule for the day

[1219] Step 6:

[1220] The server's information analysis device generates optimal clothing suggestions based on weather information and schedule information.

[1221] Input: Weather information, schedule information, user clothing data

[1222] How it works: Runs an algorithm to generate optimal outfits using SciKit-Learn predictive models.

[1223] Output: Best outfit suggestions (e.g. formal shirt and jacket)

[1224] Step 7:

[1225] The terminal uses the display means to display the clothing suggestions received from the server on the display.

[1226] Input: Clothing suggestion data sent from the server

[1227] Operation: Shows clothing suggestions on the display and provides information to the user.

[1228] Output: Clothing suggestions displayed on the mirror

[1229] Step 8:

[1230] The terminal's information and communication means periodically obtains the latest weather and news information.

[1231] Input: Internet connection

[1232] How it works: Uses WiFi to periodically retrieve updated information from the internet.

[1233] Output: Latest weather and news information

[1234] Step 9:

[1235] The server analyzes the information obtained and filters it based on the user's interests.

[1236] Input: Latest weather and news information

[1237] How it works: It uses Python's NLTK library to categorize information and select information that is relevant to the user.

[1238] Output: Filtered information

[1239] Step 10:

[1240] The terminal displays the filtered information on the display.

[1241] Input: Filtered information

[1242] Operation: Displays information on the display and presents it to the user.

[1243] Output: Filtering information displayed in the mirror

[1244] Step 11:

[1245] The terminal works in conjunction with the user's electronic device to synchronize schedule information and reminders.

[1246] Input: Schedule data from the user's electronic device

[1247] How it works: Retrieves data from the LINE app and Google Calendar via Bluetooth or WiFi.

[1248] Output: Synced schedule and reminder information

[1249] Step 12:

[1250] The server analyzes the synchronized schedule information and identifies important events and reminders.

[1251] Input: Synced schedule information

[1252] Action: Use predictive models or rules engines to identify key information.

[1253] Output: Important events and reminders

[1254] Step 13:

[1255] The device generates and displays a notification based on the identified information.

[1256] Input: Important event and reminder information

[1257] What it does: Uses a notification generator to display a pop-up notification on the display and notifies the user using audio alerts and visual effects.

[1258] Output: Notification information displayed on the mirror, audio alerts

[1259] (Application example 1)

[1260] 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."

[1261] Previous smart mirror systems provided clothing suggestions and weather information to optimize users' daily lives, but they lacked functionality to enhance the shopping experience in brick-and-mortar stores. Furthermore, they were unable to suggest coordination options with other items for clothes customers tried on in the store, limiting customers' fashion choices. Furthermore, they were unable to provide real-time style suggestions based on weather conditions or the latest fashion information.

[1262] 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.

[1263] In this invention, the server includes an imaging device for capturing an image of a user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule information, a display device for displaying the analysis results, a proposal generation device for generating proposals combining the clothing with other items and accessories in the store, a communication device for acquiring the latest weather information and news information, an information selection device for selecting the acquired information and displaying it to the user, a style proposal device for making style proposals based on current weather conditions and the latest fashion information, a collaboration device for linking with the user's information terminal and synchronizing schedule information, reminders, and shopping information, and a notification device for generating and displaying notifications based on the synchronized information, thereby improving the customer's shopping experience in a physical store, enabling suggestions for coordinating outfits with other items and accessories, and enabling real-time style proposals.

[1264] An "imaging device" is a device for capturing an image of a user.

[1265] An "image processing device" is a device that analyzes captured image data and recognizes the user's clothing.

[1266] The "analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1267] A "display device" is a device for displaying the analysis results.

[1268] A "proposal generator" is a device for generating proposals in combination with other items and accessories in a store.

[1269] A "communication device" is a device for obtaining the latest weather and news information.

[1270] An "information selection device" is a device that selects acquired information and displays it to the user.

[1271] A "style suggestion device" is a device that makes style suggestions based on current weather conditions and the latest fashion information.

[1272] A "linked device" is a device that links with a user's information terminal and synchronizes schedule information, reminders, and shopping information.

[1273] A "notification device" is a device for generating and displaying notifications based on synchronized information.

[1274] This invention relates to a smart mirror system for enriching users' daily lives, but can also be applied to improving the shopping experience in brick-and-mortar stores. The system is composed of an imaging device, an image processing device, an analysis device, a display device, a suggestion generation device, a communication device, an information selection device, a style suggestion device, a collaboration device, and a notification device.

[1275] Hardware and software used

[1276] Imaging device: A camera (e.g., Logitech C920) for capturing an image of the user.

[1277] Image processing device: A computer device that analyzes the captured image data and recognizes the user's clothing. Here, an image processing library such as OpenCV is used.

[1278] Analysis device: A server that suggests optimal clothing based on weather information and the user's schedule. To obtain weather information, it uses the OpenWeatherMap API, etc.

[1279] Display device: A display for showing the analysis results (e.g., part of a smart mirror).

[1280] Proposal Generator: A server for generating fashion suggestions in combination with other items and accessories in the store.

[1281] Communications device: A means of network connection to obtain the latest weather and news information.

[1282] Information filtering device: A device for filtering acquired information and displaying it to the user.

[1283] Style suggestion device: A device that makes style suggestions based on current weather conditions and the latest fashion information.

[1284] Linkage device: A device that links with a user's information terminal such as a smartphone to synchronize schedule information, reminders, and shopping information.

[1285] Notification device: A device for generating and displaying notifications based on synchronized information.

[1286] Specific examples of processing

[1287] 1. When a user stands in front of a store's smart mirror, the image capture device captures an image of the user.

[1288] 2. The image processing device analyzes the captured image data and recognizes the user's current clothing.

[1289] 3. The analysis device accesses the weather information API to obtain current weather information. It also references the store's calendar information and checks event information.

[1290] 4. The proposal generator generates optimal fashion proposals that combine with other items and accessories offered in the store.

[1291] 5. The display device displays the generated fashion suggestions on the display.

[1292] 6. The communication device periodically connects to the Internet to obtain the latest weather and news information.

[1293] 7. The information selection device analyzes the acquired information and selects the information based on the interests and importance set by the user.

[1294] 8. The style suggestion device provides real-time style suggestions based on current weather conditions and the latest fashion information.

[1295] 9. The linked device synchronizes with the user's smartphone to obtain schedule information, reminders, and shopping information.

[1296] 10. The notification device identifies important events and reminders and displays them as pop-up notifications on the display.

[1297] Prompt Sentence Examples

[1298] "Analyze the customer's current clothing style and suggest the best outfit based on the latest weather information."

[1299] This embodiment enhances the customer's shopping experience in a physical store, allows for suggestions on coordinating items with other items and accessories, and keeps customers up to date with the latest fashion trends through real-time style suggestions.

[1300] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1301] Step 1:

[1302] When a user stands in front of a store's smart mirror, the camera captures the user's image. The input is the user's appearance, and the output is the captured image data. Specifically, the camera automatically captures the image and sends the image data to the system.

[1303] Step 2:

[1304] The image processing device analyzes the captured image data and recognizes the user's current clothing. The input is the captured image data, and the output is the recognized clothing information. Specifically, it uses the OpenCV library to extract clothing features from the image and applies a recognition algorithm to determine the type of clothing.

[1305] Step 3:

[1306] The analysis device accesses the weather information API to obtain current weather information. It also references the in-store calendar information and checks event information. The input is a request to the weather information API and calendar information, and the output is current weather information and event information. Specifically, an API request is sent and the obtained data is returned to the analysis device.

[1307] Step 4:

[1308] The proposal generator generates optimal fashion proposals that combine the recognized clothing with other items and accessories offered in the store. The input is recognized clothing information, weather information, and event information, and the output is optimal fashion proposals. Specifically, the combination proposal algorithm generates proposals based on this information.

[1309] Step 5:

[1310] The display device displays the generated fashion suggestions on a display. The input is the fashion suggestions, and the output is visual information displayed on the display. As a specific operation, data is sent to the display device and visualized.

[1311] Step 6:

[1312] A communication device periodically connects to the Internet to obtain the latest weather and news information. The input is an Internet connection and an information request, and the output is the obtained information. Specifically, the device accesses a communication endpoint to obtain the required information.

[1313] Step 7:

[1314] The information filtering device analyzes the acquired information and selects it based on the interests and importance set by the user. The input is the acquired weather information and news information, and the output is the selected information. Specifically, a filtering algorithm analyzes this information and selects it based on the user's interests.

[1315] Step 8:

[1316] The style suggestion device makes real-time style suggestions based on current weather conditions and the latest fashion information. The input is weather conditions and fashion information, and the output is style suggestions. Specifically, the suggestion algorithm analyzes the data and suggests appropriate styles in real time.

[1317] Step 9:

[1318] The linked device synchronizes with the user's smartphone and obtains schedule information, reminders, and shopping information. The input is data from the user's smartphone, and the output is synchronized schedule information, reminders, and shopping information. Specifically, data synchronization is performed using Bluetooth or WiFi.

[1319] Step 10:

[1320] The notification device identifies important events and reminders and displays them as pop-up notifications on the display. The input is the synchronized schedule information and reminders, and the output is the displayed notification. Specifically, the notification algorithm analyzes the important information and sends the data to the display device to display the notification.

[1321] 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.

[1322] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[1323] System configuration

[1324] The system includes the following main components:

[1325] 1. Camera device: Captures an image of the user.

[1326] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1327] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1328] 4. Display device: The analysis results are displayed on the screen.

[1329] 5. Communication device: To get the latest weather and news information.

[1330] 6. Information selection device: Filters the acquired information and displays it to the user.

[1331] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1332] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1333] 9. Emotion engine: Analyzes the user's facial expressions and recognizes emotions.

[1334] Program processing

[1335] The program of this system performs the process described in natural language as follows:

[1336] Example 1: Getting ready in the morning

[1337] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[1338] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1339] At the same time, the emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g., tired, energetic).

[1340] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[1341] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1342] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[1343] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1344] Example 2: Displaying real-time information

[1345] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1346] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1347] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[1348] The device will then display filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[1349] If the user wants more information, more detailed information and related links can be displayed.

[1350] Example 3: Schedule Sync and Notifications

[1351] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1352] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1353] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[1354] The device will display device-specific information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[1355] Users can view notifications and respond using touch or voice commands.

[1356] With this configuration and processing, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as suggesting clothing, displaying information, and managing schedules based on the user's emotions.

[1357] The processing flow will be explained below.

[1358] Example 1: Getting ready in the morning

[1359] Step 1:

[1360] The user wakes up in the morning and stands in front of the mirror.

[1361] Step 2:

[1362] The camera device of the terminal captures an image of the user.

[1363] Step 3:

[1364] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1365] Step 4:

[1366] The emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g. tired, energetic).

[1367] Step 5:

[1368] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[1369] Step 6:

[1370] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1371] Step 7:

[1372] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[1373] Step 8:

[1374] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1375] Example 2: Displaying real-time information

[1376] Step 1:

[1377] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1378] Step 2:

[1379] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1380] Step 3:

[1381] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[1382] Step 4:

[1383] The device displays filtered information on the mirror display (e.g., using calmer colors if you are tired).

[1384] Step 5:

[1385] If the user requests more detailed information, further information and related links are displayed on the screen.

[1386] Example 3: Schedule Sync and Notifications

[1387] Step 1:

[1388] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1389] Step 2:

[1390] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1391] Step 3:

[1392] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[1393] Step 4:

[1394] The device will display the identified information as a pop-up notification on the mirror's display.

[1395] Step 5:

[1396] The device uses audio alerts and visual effects to grab the user's attention.

[1397] Step 6:

[1398] The user sees the notification and responds using touch and voice commands.

[1399] Example 2

[1400] 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."

[1401] Conventional smart mirror systems only suggest clothing and display weather information, but are unable to provide personalized services based on the user's emotions or daily schedule. Therefore, in order to further improve the efficiency and enrichment of users' daily lives, more comprehensive and personalized information provision is required.

[1402] 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.

[1403] In this invention, the server includes a camera device for capturing an image of the user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display device for displaying the analysis results on a display, and an emotion recognition device for analyzing the user's emotions and adjusting the content of information and notifications. This makes it possible to provide more personalized information based on the user's emotions and schedule.

[1404] A "camera device" is a photographic device for capturing an image of a user.

[1405] The "image processing device" is a computer device that analyzes the captured image data and recognizes the user's clothing.

[1406] The "analysis device" is a data analysis device that suggests optimal clothing based on weather information and the user's schedule information.

[1407] The "display device" is a display device for visually presenting the analysis results to the user.

[1408] An "emotion recognition device" is a device that analyzes a user's facial expression and recognizes the emotion.

[1409] A "communication device" is a communication device that connects to the Internet and obtains the latest weather and news information.

[1410] The "information selection device" is a device for filtering acquired information and selecting appropriate information to display to the user.

[1411] A "linked device" is a communication device that links with a user's smart device and synchronizes schedule information and reminders.

[1412] A "notification device" is a device that generates notifications based on synchronized information and notifies the user visually or audibly.

[1413] MODE FOR CARRYING OUT THE INVENTION

[1414] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures a user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[1415] System configuration

[1416] The system includes the following main components:

[1417] 1. Camera device: Captures an image of the user.

[1418] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1419] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1420] 4. Display device: The analysis results are displayed on the screen.

[1421] 5. Communication device: To get the latest weather and news information.

[1422] 6. Information selection device: Filters the acquired information and displays it to the user.

[1423] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1424] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1425] 9. Emotion recognition device: Analyzes the user's facial expressions and recognizes emotions.

[1426] Example of a system

[1427] Example 1: Getting ready in the morning

[1428] When a user wakes up in the morning and stands in front of the mirror, the device's camera captures an image of the user. The device's image processing device analyzes the captured image data using deep learning and recognizes the user's current outfit. The emotion recognition device analyzes the user's facial expressions and recognizes their emotions. This data is sent from the device to a server, and the server accesses a weather information API (e.g., OpenWeatherMap API) to obtain current weather information. The server also references the user's calendar information and checks the user's schedule for the day. Based on this information, the server suggests optimal outfits, which the device displays on its screen.

[1429] Example prompt sentence:

[1430] "Design a system that gathers the information necessary to suggest morning outfits and provides optimal suggestions to users."

[1431] Example 2: Displaying real-time information

[1432] The device's communications device periodically connects to the Internet and retrieves the latest weather and news information from an API. The server analyzes the retrieved information and filters it based on the interests and importance set by the user. The emotion recognition device then analyzes the user's current emotions and adjusts the content and presentation of the information displayed. The device then displays the filtered information on the mirror's display. For example, it may display a weather forecast such as "Today's weather is sunny," sports game results, or important news.

[1433] Example prompt sentence:

[1434] "Design a system that filters and displays information based on the user's real-time emotions."

[1435] Example 3: Schedule Sync and Notifications

[1436] The device connects to the user's smart device via Bluetooth or WiFi. This connection retrieves schedule data and reminder information from apps such as LINE. The server analyzes the user's schedule information and identifies important events and reminders. The emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications. For example, if the user is very tired, the notification may be delayed slightly. The device displays the identified information as a pop-up notification on the mirror's display, and uses audio alerts and visual effects to attract the user's attention.

[1437] Example prompt sentence:

[1438] "Design a system that captures the user's schedule and adjusts the content and timing of notifications based on their emotions."

[1439] With these configurations and operations, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as providing information and suggesting clothing based on the user's emotions and schedule.

[1440] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1441] Specific examples of getting ready in the morning

[1442] Step 1:

[1443] The user stands in front of a mirror

[1444] Input: None

[1445] Output: The device's camera is activated.

[1446] Specific operation: The system starts when the user stands in front of the mirror, and the camera device automatically starts up.

[1447] Step 2:

[1448] The device's camera captures an image of the user.

[1449] Input: User posture and movement

[1450] Output: Captured image data

[1451] Specific operation: A high-resolution camera captures the user's entire body, and the captured image is sent to an image processing device.

[1452] Step 3:

[1453] The device's image processing unit analyzes the captured image data and recognizes the clothing.

[1454] Input: Captured image data

[1455] Output: Recognized clothing information

[1456] Specific operation: The image processing device uses a deep learning model (e.g., TensorFlow) to analyze the user's clothing and output the results in data format.

[1457] Step 4:

[1458] The emotion recognition device analyzes the user's facial expressions and recognizes their emotions.

[1459] Input: User's captured facial image data

[1460] Output: Recognized emotion information

[1461] Specific operation: The emotion recognition device uses a facial expression analysis algorithm (e.g., OpenCV or Face++) to analyze the user's facial expression and identify the emotion.

[1462] Step 5:

[1463] The device sends the analyzed image data and emotional information to the server.

[1464] Input: Image data, clothing information, emotional information

[1465] Output: Send data to the server

[1466] Specific operation: The terminal collects all data and sends it to the server via the network.

[1467] Step 6:

[1468] The server accesses the weather information API and retrieves the current weather information.

[1469] Input: User's location

[1470] Output: Current weather information

[1471] Specific operation: The server accesses a weather information API (e.g., OpenWeatherMap) and obtains current weather information.

[1472] Step 7:

[1473] The server references the user's calendar information and checks the schedule for the day.

[1474] Input: User's calendar information

[1475] Output: Today's schedule information

[1476] Specific operation: The server uses the Google Calendar API to look up the user's schedule and check important events for the day.

[1477] Step 8:

[1478] The server suggests the best outfit based on weather, schedule, and emotional information.

[1479] Input: Weather information, schedule information, emotion information

[1480] Output: Clothing suggestion data

[1481] How it works: The server aggregates all the information and uses an algorithm to suggest the best outfit for the user (e.g., a formal shirt and jacket).

[1482] Step 9:

[1483] The device displays suggested outfits on the screen.

[1484] Input: Clothing suggestion data

[1485] Output: Clothing information displayed on the screen

[1486] Specific operation: The terminal displays the clothing suggestions received from the server on the display, allowing the user to confirm them.

[1487] Examples of real-time information display

[1488] Step 1:

[1489] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1490] Input: None

[1491] Output: Latest weather and news information

[1492] Specific operation: The communication device accesses the weather API and news API at regular intervals to obtain the latest information.

[1493] Step 2:

[1494] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1495] Input: Latest weather and news information

[1496] Output: Filtered information

[1497] What it does: The server uses information analysis algorithms to filter information based on the user's interests.

[1498] Step 3:

[1499] An emotion recognition device analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[1500] Input: User's facial expression data

[1501] Output: Adjusted display information

[1502] Specific operation: The emotion recognition device understands the user's emotions and adjusts the information displayed and how it is expressed accordingly.

[1503] Step 4:

[1504] The device displays the filtered information on the mirror's display.

[1505] Input: Filtered information

[1506] Output: Information shown on the display

[1507] Specific operation: The device displays the filtered information on the mirror, allowing the user to visually confirm it.

[1508] Step 5:

[1509] If the user asks for more information, provide more information or related links

[1510] Input: User action (touch or voice command)

[1511] Output: Detailed information

[1512] What it does: When a user requests more information, the device provides additional information and related links.

[1513] Schedule Sync and Notification Examples

[1514] Step 1:

[1515] The terminal connects to the user's smart device via Bluetooth or WiFi.

[1516] Input: Schedule data from the user's smart device

[1517] Output: Synchronized schedule information

[1518] Specific operation: The terminal connects to the smart device via Bluetooth or WiFi and obtains schedule data.

[1519] Step 2:

[1520] The server analyzes the user's schedule information and identifies important events and reminders.

[1521] Input: Synced schedule information

[1522] Output: Information about identified important events

[1523] Specific operation: The server analyzes the schedule information and extracts particularly important events and reminders.

[1524] Step 3:

[1525] An emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications.

[1526] Input: User emotion data

[1527] Output: Adjusted notification information

[1528] Specific operation: The emotion recognition device understands the user's emotions and adjusts the content and timing of notifications based on the results.

[1529] Step 4:

[1530] The device will be identified and displayed as a pop-up notification on the mirror's display.

[1531] Input: Adjusted notification information

[1532] Output: Notifications shown on the display

[1533] What it does: It displays device-identified information as a pop-up notification on the mirror, and grabs the user's attention with audio alerts and visual effects.

[1534] Step 5:

[1535] The user sees the notification and responds using touch or voice commands.

[1536] Input: User action (touch or voice command)

[1537] Output: System behavior according to user instructions

[1538] Specific behavior: The user checks the notification, takes action by touch or voice if necessary, and the system takes action accordingly.

[1539] Through these processes, smart mirror systems can streamline users' daily lives and provide personalized experiences based on their emotions and schedules.

[1540] (Application example 2)

[1541] 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."

[1542] Existing try-on experiences in brick-and-mortar stores simply involve customers choosing and trying on their own outfits, lacking suggestions based on appropriate coordination and the latest trends. It is also difficult to provide personalized suggestions that address individual customers' emotions and needs. Therefore, there is a need to improve customer satisfaction and provide a more efficient and personalized try-on experience.

[1543] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1544] In this invention, the server includes an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data and recognizing the user's clothing, an information analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display medium for displaying the analysis results on a display, an information display device for displaying information on seasons, fashion trends, and recommended items, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone and synchronizing and displaying purchasing schedules and promotional information. This makes it possible to provide customers with personalized try-on suggestions and coordination information in real time.

[1545] An "image capture device" is a device for capturing an image of a user.

[1546] An "image recognition device" is a device that analyzes captured image data and recognizes the user's clothing.

[1547] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1548] The "display medium" is a means for displaying the analysis results on a display.

[1549] An "information display device" is a device for displaying information on seasons, fashion trends, and recommended items.

[1550] An "emotion recognition device" is a device that analyzes a user's facial expressions and provides information based on the user's emotions.

[1551] A "synchronization device" is a device that works in conjunction with a user's smartphone to synchronize and display purchase schedules and promotional information.

[1552] The "communication function" is a means for obtaining the latest weather and news information.

[1553] The "information selection mechanism" is a means for filtering acquired information and displaying it to the user.

[1554] A "device linking apparatus" is an apparatus that links with a user's smart device and synchronizes schedule information and reminders.

[1555] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[1556] The present invention is a system that optimizes a user's daily life and improves the fitting experience in a physical store. This system includes the following devices: an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data to recognize the user's outfit, an information analysis device for suggesting optimal outfits based on weather information and the user's schedule information, a display medium for displaying the analysis results on a screen, an information display device for displaying seasonal information, fashion trends, and recommended item information, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone to synchronize and display purchasing schedules and promotional information.

[1557] This system implements the following programs. First, when the user stands in front of the mirror, the device captures an image with its camera. A specific example of a camera is the Logitech C920. The captured image data is analyzed using image processing software such as OpenCV. The analyzed image data is then used by an information analysis device to recognize the user's clothing. This allows the system to suggest optimal clothing based on seasonal information, weather information, and the user's schedule. The suggestions are presented to the user on a display medium. A transparent display or the like can be used as the display medium.

[1558] Furthermore, the emotion recognition device uses a library called EmotionEngine to analyze emotions from the user's facial expressions. This information is used to suggest clothing and provide information. For example, if the user's facial expression looks happy, casual clothing will be suggested. On the other hand, if the user's facial expression looks calm, more formal clothing will be suggested.

[1559] Consider the following example: When a user is trying on a dress for a party, the system captures images and suggests the best jewelry and accessory outfits based on the weather and the user's schedule (date of the party). This information is displayed on the screen in real time.

[1560] The purchasing schedule and promotion information on the user's smartphone are also synchronized by the synchronization device and displayed in real time, allowing the user to make optimal purchasing decisions on the spot.

[1561] Finally, the following example prompt sentences are used:

[1562] "Based on the following weather information and emotion recognition results, please suggest a suitable outfit for the customer. Weather: Sunny, 19°C. Emotion: Happy expression. Image file: customer_image.jpg."

[1563] Using these devices and programs, the system is able to provide customers with personalized fitting suggestions and coordination information in real time.

[1564] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1565] Step 1:

[1566] The device captures an image with a camera when the user stands in front of the mirror. The input is the user's real-time video, and the output is the captured still image data. In operation, the camera (e.g., Logitech C920) captures the user's video and captures an image at that moment.

[1567] Step 2:

[1568] The device's image recognition device analyzes the captured image data to recognize the user's clothing. The input is the captured still image data, and the output is the recognition result of the user's clothing. Image processing software such as OpenCV is used to identify the clothing from the image.

[1569] Step 3:

[1570] The server's information analysis device uses the user's clothing recognition results, weather information, and schedule information to suggest optimal clothing. The inputs are clothing recognition results, weather information, and schedule information, and the output is optimal clothing suggestions. Specifically, it works in conjunction with weather APIs and calendar information to calculate optimal outfits.

[1571] Step 4:

[1572] The display media of the device displays the optimal outfit suggestions sent from the server to the user. The input is the optimal outfit suggestions, and the output is the outfit suggestions displayed on the display. The suggestions are projected onto a transparent display.

[1573] Step 5:

[1574] The device's emotion recognition device analyzes the user's facial expressions from images captured by the camera and recognizes emotions. The input is the captured still image data, and the output is the user's emotional information. Analysis is performed using an emotion recognition library such as EmotionEngine.

[1575] Step 6:

[1576] The server's information display device acquires information on seasons, fashion trends, and recommended items, and displays optimal information based on the user's emotions. The input is seasons, fashion trends, and user emotion information, and the output is a list of information to be displayed to the user. This is reflected on the display.

[1577] Step 7:

[1578] The synchronization device works in conjunction with the user's smartphone to synchronize purchase schedules and promotional information. The input is data from the user's smartphone, and the output is the synchronized purchase schedule and promotional information. The data is acquired using Bluetooth or WiFi and sent to the server.

[1579] Step 8:

[1580] The notification generating device generates notifications based on the synchronized information and displays them on a display medium. The input is the synchronized purchase schedule and promotion information, and the output is the generated notifications. Pop-up notifications are displayed on the display to prevent the user from missing important information.

[1581] In this way, the system provides users with personalized try-on suggestions and coordination information in real time.

[1582] 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.

[1583] 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.

[1584] 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.

[1585] [Fourth embodiment]

[1586] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1587] 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.

[1588] 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).

[1589] 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.

[1590] 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.

[1591] 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).

[1592] 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.

[1593] 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.

[1594] 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.

[1595] 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.

[1596] 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.

[1597] 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.

[1598] 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."

[1599] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[1600] System configuration

[1601] The system includes the following main components:

[1602] 1. Camera device: Captures an image of the user.

[1603] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1604] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1605] 4. Display device: The analysis results are displayed on the screen.

[1606] 5. Communication device: To get the latest weather and news information.

[1607] 6. Information selection device: Filters the acquired information and displays it to the user.

[1608] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1609] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1610] Program processing

[1611] The program of this system performs the process described in natural language as follows:

[1612] Example 1: Getting ready in the morning

[1613] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[1614] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1615] The terminal transmits the analyzed image data and the user's profile information to the server.

[1616] The server accesses the weather information API to obtain the current weather information, and also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1617] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[1618] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1619] Example 2: Displaying real-time information

[1620] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1621] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1622] The device then displays filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[1623] If the user wants more information, more detailed information and related links can be displayed.

[1624] Example 3: Schedule Sync and Notifications

[1625] The device connects to the user's smart device via Bluetooth or WiFi, allowing it to obtain schedule data and reminder information from the LINE app.

[1626] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1627] The device will display the identified information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[1628] Users can view notifications and respond using touch or voice commands.

[1629] With this configuration and processing, the system can streamline and enrich the user's life, for example, by shortening preparation time in the morning and helping the user start the day without missing important information.

[1630] The processing flow will be explained below.

[1631] Example 1: Getting ready in the morning

[1632] Step 1:

[1633] The user wakes up in the morning and stands in front of the mirror.

[1634] Step 2:

[1635] The camera device of the terminal captures an image of the user.

[1636] Step 3:

[1637] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1638] Step 4:

[1639] The terminal transmits the analyzed image data and the user's profile information to the server.

[1640] Step 5:

[1641] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1642] Step 6:

[1643] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather and schedule information.

[1644] Step 7:

[1645] The terminal displays the clothing suggestions sent from the server on the display, and the user checks the details of the suggested clothing and selects one.

[1646] Example 2: Displaying real-time information

[1647] Step 1:

[1648] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1649] Step 2:

[1650] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1651] Step 3:

[1652] The terminal displays the filtered information on the mirror's display.

[1653] Step 4:

[1654] If the user requests more detailed information, further information and related links are displayed on the screen.

[1655] Example 3: Schedule Sync and Notifications

[1656] Step 1:

[1657] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1658] Step 2:

[1659] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1660] Step 3:

[1661] The device will display the identified information as a pop-up notification on the mirror's display.

[1662] Step 4:

[1663] The device uses audio alerts and visual effects to grab the user's attention.

[1664] Step 5:

[1665] The user sees the notification and responds using touch and voice commands.

[1666] Example 1

[1667] 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."

[1668] The problem that this invention aims to solve is to improve the efficiency of clothing selection in users' daily lives and to integrate information management. Specifically, there is a demand for a system that suggests optimal clothing based on the weather and schedule, and a system that acquires and displays necessary information in real time and facilitates schedule management.

[1669] 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.

[1670] In this invention, the server includes an "information acquisition means," an "information analysis device," a "proposal generation device," and an "information presentation means." This allows the server to capture an image of the user, analyze the image data to recognize their outfit, and suggest the best outfit based on weather information and schedule information. It can also acquire and filter the latest weather and news information and display it to the user. Furthermore, it can synchronize schedule information and reminders with the user's electronic device and generate and display notifications.

[1671] An "imaging device" is a device for capturing an image of a user.

[1672] The "data processing device" is a device for analyzing the captured image data and recognizing the user's clothing.

[1673] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1674] The "display means" is a device for displaying the analysis results on a display.

[1675] "Communication means" refers to a device for transmitting user profile information and analysis results to the server.

[1676] The "information acquisition means" is a device for acquiring weather information and schedule information.

[1677] The "proposal generation device" is a device for generating optimal clothing proposals.

[1678] "Information communication means" refers to a device for obtaining the latest weather information and news information.

[1679] An "information selection device" is a device that filters acquired information and displays it to the user.

[1680] A "device synchronization device" is a device that works in conjunction with a user's electronic device to synchronize schedule information and reminders.

[1681] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[1682] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in cooperation with the user's smart device.

[1683] The system includes the following main components:

[1684] 1. Image capture device: Captures the user's image. The camera used should have high resolution and be suitable to ensure the required image quality.

[1685] 2. Data processing unit: Analyzes the captured image data and recognizes the user's clothing. Specifically, it uses image analysis libraries such as OpenCV and TensorFlow.

[1686] 3. Communication method: Image analysis results and user profile information are sent to the server via Wi-Fi or Bluetooth.

[1687] 4. Information acquisition means: Obtain weather information and schedule information from a weather information API (e.g., OpenWeatherMap API) or Google Calendar API.

[1688] 5. Information analysis device: Generates optimal outfit suggestions based on weather information and the user's schedule information. The predictive model uses Python's SciKit-Learn library.

[1689] 6. Proposal generator: A device for generating optimal clothing suggestions. For example, it makes specific suggestions such as, "It looks like it's going to rain, so we suggest a waterproof jacket and boots for you when you go out."

[1690] 7. Display: The analysis results and suggested outfits are displayed on the screen. The user can check the information displayed on the screen and make a selection.

[1691] 8. Information and communication methods: Regularly obtain the latest weather and news information. Use WiFi for communication.

[1692] 9. Information filter: Filters the acquired information and converts it into information that users are likely to be interested in. Python's NLTK library is used for natural language processing.

[1693] 10. Device Sync Device: Connects to the user's electronic devices and synchronizes schedule information and reminders. It obtains data from the LINE app and Google Calendar.

[1694] 11. Notification Generator: Generates notifications based on the synchronized information and displays them on the mirror's display. Notifies the user using audio alerts and visual effects.

[1695] Specific examples

[1696] Example 1: Getting ready in the morning

[1697] When a user wakes up in the morning and stands in front of the mirror, the imaging device of the terminal captures an image of the user.

[1698] The terminal's data processor analyzes the captured image and recognizes the user's current attire.

[1699] The terminal transmits the image analysis results and the user's profile information to the server.

[1700] The server accesses the weather information API to get the current weather information and checks the user's schedule.

[1701] The server suggests the best outfit based on weather and schedule information.

[1702] The terminal displays the clothing suggestions on the display, and the user checks the suggested clothing.

[1703] Example 2: Displaying real-time information

[1704] The terminal's information and communication means periodically obtains the latest weather and news information.

[1705] The server analyzes the acquired information and performs filtering.

[1706] The device displays the filtered information on the mirror's display, where the user can check the displayed information.

[1707] Example 3: Schedule Sync and Notifications

[1708] The device connects to the user's electronic device via Bluetooth or WiFi to obtain schedule and reminder information.

[1709] The server analyzes your schedule and identifies important events and reminders.

[1710] The terminal uses a notification generator to display the identified information as a pop-up notification on the mirror's display.

[1711] Users can respond to notifications using touch or voice commands.

[1712] Examples of prompt statements

[1713] Here are some examples of prompts to input to a generative AI model:

[1714] "Describe a system in which, when a user wakes up in the morning and stands in front of a smart mirror, the mirror recognizes the user's current outfit and suggests the most appropriate outfit based on the weather and schedule. For example, explain a specific scenario in which the mirror suggests a waterproof jacket when the user stands in front of the mirror on a rainy day."

[1715] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1716] Step 1:

[1717] The user wakes up in the morning and stands in front of the smart mirror.

[1718] Input: User appearance

[1719] How it works: The device's imaging device automatically detects the user's presence and captures an image.

[1720] Output: High resolution captured user image

[1721] Step 2:

[1722] A data processing unit of the terminal analyzes the captured images.

[1723] Input: Captured user image

[1724] How it works: It uses image analysis libraries such as OpenCV and TensorFlow to identify the user's face and clothing using facial recognition and object detection algorithms.

[1725] Output: User's clothing data (e.g., type and color of shirt and pants)

[1726] Step 3:

[1727] The terminal transmits the analyzed clothing data and the user's profile information to the server.

[1728] Input: Analyzed clothing data, user profile information

[1729] How it works: Sends data using WiFi or Bluetooth.

[1730] Output: Analytics data and profile information sent to the server

[1731] Step 4:

[1732] The server accesses the API to get weather information.

[1733] Input: User's location information

[1734] Operation: Accesses a weather information API (e.g. OpenWeatherMap API) to obtain current weather information.

[1735] Output: Current weather information

[1736] Step 5:

[1737] The server accesses the API to obtain the schedule information.

[1738] Input: User's schedule information

[1739] What it does: Checks the user's schedule for the day using the Google Calendar API, etc.

[1740] Output: User's schedule for the day

[1741] Step 6:

[1742] The server's information analysis device generates optimal clothing suggestions based on weather information and schedule information.

[1743] Input: Weather information, schedule information, user clothing data

[1744] How it works: Runs an algorithm to generate optimal outfits using SciKit-Learn predictive models.

[1745] Output: Best outfit suggestions (e.g. formal shirt and jacket)

[1746] Step 7:

[1747] The terminal uses the display means to display the clothing suggestions received from the server on the display.

[1748] Input: Clothing suggestion data sent from the server

[1749] Operation: Shows clothing suggestions on the display and provides information to the user.

[1750] Output: Clothing suggestions displayed on the mirror

[1751] Step 8:

[1752] The terminal's information and communication means periodically obtains the latest weather and news information.

[1753] Input: Internet connection

[1754] How it works: Uses WiFi to periodically retrieve updated information from the internet.

[1755] Output: Latest weather and news information

[1756] Step 9:

[1757] The server analyzes the information obtained and filters it based on the user's interests.

[1758] Input: Latest weather and news information

[1759] How it works: It uses Python's NLTK library to categorize information and select information that is relevant to the user.

[1760] Output: Filtered information

[1761] Step 10:

[1762] The terminal displays the filtered information on the display.

[1763] Input: Filtered information

[1764] Operation: Displays information on the display and presents it to the user.

[1765] Output: Filtering information displayed in the mirror

[1766] Step 11:

[1767] The terminal works in conjunction with the user's electronic device to synchronize schedule information and reminders.

[1768] Input: Schedule data from the user's electronic device

[1769] How it works: Retrieves data from the LINE app and Google Calendar via Bluetooth or WiFi.

[1770] Output: Synced schedule and reminder information

[1771] Step 12:

[1772] The server analyzes the synchronized schedule information and identifies important events and reminders.

[1773] Input: Synced schedule information

[1774] Action: Use predictive models or rules engines to identify key information.

[1775] Output: Important events and reminders

[1776] Step 13:

[1777] The device generates and displays a notification based on the identified information.

[1778] Input: Important event and reminder information

[1779] What it does: Uses a notification generator to display a pop-up notification on the display and notifies the user using audio alerts and visual effects.

[1780] Output: Notification information displayed on the mirror, audio alerts

[1781] (Application example 1)

[1782] 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."

[1783] Previous smart mirror systems provided clothing suggestions and weather information to optimize users' daily lives, but they lacked functionality to enhance the shopping experience in brick-and-mortar stores. Furthermore, they were unable to suggest coordination options with other items for clothes customers tried on in the store, limiting customers' fashion choices. Furthermore, they were unable to provide real-time style suggestions based on weather conditions or the latest fashion information.

[1784] 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.

[1785] In this invention, the server includes an imaging device for capturing an image of a user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule information, a display device for displaying the analysis results, a proposal generation device for generating proposals combining the clothing with other items and accessories in the store, a communication device for acquiring the latest weather information and news information, an information selection device for selecting the acquired information and displaying it to the user, a style proposal device for making style proposals based on current weather conditions and the latest fashion information, a collaboration device for linking with the user's information terminal and synchronizing schedule information, reminders, and shopping information, and a notification device for generating and displaying notifications based on the synchronized information, thereby improving the customer's shopping experience in a physical store, enabling suggestions for coordinating outfits with other items and accessories, and enabling real-time style proposals.

[1786] An "imaging device" is a device for capturing an image of a user.

[1787] An "image processing device" is a device that analyzes captured image data and recognizes the user's clothing.

[1788] The "analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[1789] A "display device" is a device for displaying the analysis results.

[1790] A "proposal generator" is a device for generating proposals in combination with other items and accessories in a store.

[1791] A "communication device" is a device for obtaining the latest weather and news information.

[1792] An "information selection device" is a device that selects acquired information and displays it to the user.

[1793] A "style suggestion device" is a device that makes style suggestions based on current weather conditions and the latest fashion information.

[1794] A "linked device" is a device that links with a user's information terminal and synchronizes schedule information, reminders, and shopping information.

[1795] A "notification device" is a device for generating and displaying notifications based on synchronized information.

[1796] This invention relates to a smart mirror system for enriching users' daily lives, but can also be applied to improving the shopping experience in brick-and-mortar stores. The system is composed of an imaging device, an image processing device, an analysis device, a display device, a suggestion generation device, a communication device, an information selection device, a style suggestion device, a collaboration device, and a notification device.

[1797] Hardware and software used

[1798] Imaging device: A camera (e.g., Logitech C920) for capturing an image of the user.

[1799] Image processing device: A computer device that analyzes the captured image data and recognizes the user's clothing. Here, an image processing library such as OpenCV is used.

[1800] Analysis device: A server that suggests optimal clothing based on weather information and the user's schedule. To obtain weather information, it uses the OpenWeatherMap API, etc.

[1801] Display device: A display for showing the analysis results (e.g., part of a smart mirror).

[1802] Proposal Generator: A server for generating fashion suggestions in combination with other items and accessories in the store.

[1803] Communications device: A means of network connection to obtain the latest weather and news information.

[1804] Information filtering device: A device for filtering acquired information and displaying it to the user.

[1805] Style suggestion device: A device that makes style suggestions based on current weather conditions and the latest fashion information.

[1806] Linkage device: A device that links with a user's information terminal such as a smartphone to synchronize schedule information, reminders, and shopping information.

[1807] Notification device: A device for generating and displaying notifications based on synchronized information.

[1808] Specific examples of processing

[1809] 1. When a user stands in front of a store's smart mirror, the image capture device captures an image of the user.

[1810] 2. The image processing device analyzes the captured image data and recognizes the user's current clothing.

[1811] 3. The analysis device accesses the weather information API to obtain current weather information. It also references the store's calendar information and checks event information.

[1812] 4. The proposal generator generates optimal fashion proposals that combine with other items and accessories offered in the store.

[1813] 5. The display device displays the generated fashion suggestions on the display.

[1814] 6. The communication device periodically connects to the Internet to obtain the latest weather and news information.

[1815] 7. The information selection device analyzes the acquired information and selects the information based on the interests and importance set by the user.

[1816] 8. The style suggestion device provides real-time style suggestions based on current weather conditions and the latest fashion information.

[1817] 9. The linked device synchronizes with the user's smartphone to obtain schedule information, reminders, and shopping information.

[1818] 10. The notification device identifies important events and reminders and displays them as pop-up notifications on the display.

[1819] Prompt Sentence Examples

[1820] "Analyze the customer's current clothing style and suggest the best outfit based on the latest weather information."

[1821] This embodiment enhances the customer's shopping experience in a physical store, allows for suggestions on coordinating items with other items and accessories, and keeps customers up to date with the latest fashion trends through real-time style suggestions.

[1822] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1823] Step 1:

[1824] When a user stands in front of a store's smart mirror, the camera captures the user's image. The input is the user's appearance, and the output is the captured image data. Specifically, the camera automatically captures the image and sends the image data to the system.

[1825] Step 2:

[1826] The image processing device analyzes the captured image data and recognizes the user's current clothing. The input is the captured image data, and the output is the recognized clothing information. Specifically, it uses the OpenCV library to extract clothing features from the image and applies a recognition algorithm to determine the type of clothing.

[1827] Step 3:

[1828] The analysis device accesses the weather information API to obtain current weather information. It also references the in-store calendar information and checks event information. The input is a request to the weather information API and calendar information, and the output is current weather information and event information. Specifically, an API request is sent and the obtained data is returned to the analysis device.

[1829] Step 4:

[1830] The proposal generator generates optimal fashion proposals that combine the recognized clothing with other items and accessories offered in the store. The input is recognized clothing information, weather information, and event information, and the output is optimal fashion proposals. Specifically, the combination proposal algorithm generates proposals based on this information.

[1831] Step 5:

[1832] The display device displays the generated fashion suggestions on a display. The input is the fashion suggestions, and the output is visual information displayed on the display. As a specific operation, data is sent to the display device and visualized.

[1833] Step 6:

[1834] A communication device periodically connects to the Internet to obtain the latest weather and news information. The input is an Internet connection and an information request, and the output is the obtained information. Specifically, the device accesses a communication endpoint to obtain the required information.

[1835] Step 7:

[1836] The information filtering device analyzes the acquired information and selects it based on the interests and importance set by the user. The input is the acquired weather information and news information, and the output is the selected information. Specifically, a filtering algorithm analyzes this information and selects it based on the user's interests.

[1837] Step 8:

[1838] The style suggestion device makes real-time style suggestions based on current weather conditions and the latest fashion information. The input is weather conditions and fashion information, and the output is style suggestions. Specifically, the suggestion algorithm analyzes the data and suggests appropriate styles in real time.

[1839] Step 9:

[1840] The linked device synchronizes with the user's smartphone and obtains schedule information, reminders, and shopping information. The input is data from the user's smartphone, and the output is synchronized schedule information, reminders, and shopping information. Specifically, data synchronization is performed using Bluetooth or WiFi.

[1841] Step 10:

[1842] The notification device identifies important events and reminders and displays them as pop-up notifications on the display. The input is the synchronized schedule information and reminders, and the output is the displayed notification. Specifically, the notification algorithm analyzes the important information and sends the data to the display device to display the notification.

[1843] 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.

[1844] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures the user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[1845] System configuration

[1846] The system includes the following main components:

[1847] 1. Camera device: Captures an image of the user.

[1848] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1849] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1850] 4. Display device: The analysis results are displayed on the screen.

[1851] 5. Communication device: To get the latest weather and news information.

[1852] 6. Information selection device: Filters the acquired information and displays it to the user.

[1853] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1854] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1855] 9. Emotion engine: Analyzes the user's facial expressions and recognizes emotions.

[1856] Program processing

[1857] The program of this system performs the process described in natural language as follows:

[1858] Example 1: Getting ready in the morning

[1859] When a user wakes up in the morning and stands in front of a mirror, the camera device of the terminal captures an image of the user.

[1860] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1861] At the same time, the emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g., tired, energetic).

[1862] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[1863] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1864] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[1865] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1866] Example 2: Displaying real-time information

[1867] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1868] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1869] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[1870] The device will then display filtered information on the mirror's display, such as weather forecasts, sports scores, and important news.

[1871] If the user wants more information, more detailed information and related links can be displayed.

[1872] Example 3: Schedule Sync and Notifications

[1873] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1874] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1875] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[1876] The device will display device-specific information as a pop-up notification on the mirror's display, using audio alerts and visual effects to grab the user's attention.

[1877] Users can view notifications and respond using touch or voice commands.

[1878] With this configuration and processing, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as suggesting clothing, displaying information, and managing schedules based on the user's emotions.

[1879] The processing flow will be explained below.

[1880] Example 1: Getting ready in the morning

[1881] Step 1:

[1882] The user wakes up in the morning and stands in front of the mirror.

[1883] Step 2:

[1884] The camera device of the terminal captures an image of the user.

[1885] Step 3:

[1886] The image processing unit of the terminal analyzes the captured image data and recognizes the user's current clothing.

[1887] Step 4:

[1888] The emotion engine analyzes the user's facial expressions and recognizes their emotions (e.g. tired, energetic).

[1889] Step 5:

[1890] The terminal transmits the analyzed image data, emotion information, and user profile information to the server.

[1891] Step 6:

[1892] The server accesses the weather information API to obtain the current weather information. It also references the user's calendar information to check the schedule for the day (e.g., business meetings).

[1893] Step 7:

[1894] The server suggests the best outfit (e.g., a formal shirt and jacket) based on weather information, schedule information, and emotional information.

[1895] Step 8:

[1896] The terminal displays the clothing suggestions sent from the server on its display, and the user can check the details of the suggested clothing and select an outfit.

[1897] Example 2: Displaying real-time information

[1898] Step 1:

[1899] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[1900] Step 2:

[1901] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[1902] Step 3:

[1903] The emotion engine analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[1904] Step 4:

[1905] The device displays filtered information on the mirror display (e.g., using calmer colors if you are tired).

[1906] Step 5:

[1907] If the user requests more detailed information, further information and related links are displayed on the screen.

[1908] Example 3: Schedule Sync and Notifications

[1909] Step 1:

[1910] The device connects to the user's smart device via Bluetooth or WiFi, and receives schedule data and reminder information from the LINE app.

[1911] Step 2:

[1912] The server analyzes the user's schedule information and identifies important appointments and reminders.

[1913] Step 3:

[1914] The emotion engine analyzes the user's emotions and adjusts the content and timing of notifications (e.g., if the user is tired, delay the reminder a little).

[1915] Step 4:

[1916] The device will display the identified information as a pop-up notification on the mirror's display.

[1917] Step 5:

[1918] The device uses audio alerts and visual effects to grab the user's attention.

[1919] Step 6:

[1920] The user sees the notification and responds using touch and voice commands.

[1921] Example 2

[1922] 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."

[1923] Conventional smart mirror systems only suggest clothing and display weather information, but are unable to provide personalized services based on the user's emotions or daily schedule. Therefore, in order to further improve the efficiency and enrichment of users' daily lives, more comprehensive and personalized information provision is required.

[1924] 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.

[1925] In this invention, the server includes a camera device for capturing an image of the user, an image processing device for analyzing the captured image data and recognizing the user's clothing, an analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display device for displaying the analysis results on a display, and an emotion recognition device for analyzing the user's emotions and adjusting the content of information and notifications. This makes it possible to provide more personalized information based on the user's emotions and schedule.

[1926] A "camera device" is a photographic device for capturing an image of a user.

[1927] The "image processing device" is a computer device that analyzes the captured image data and recognizes the user's clothing.

[1928] The "analysis device" is a data analysis device that suggests optimal clothing based on weather information and the user's schedule information.

[1929] The "display device" is a display device for visually presenting the analysis results to the user.

[1930] An "emotion recognition device" is a device that analyzes a user's facial expression and recognizes the emotion.

[1931] A "communication device" is a communication device that connects to the Internet and obtains the latest weather and news information.

[1932] The "information selection device" is a device for filtering acquired information and selecting appropriate information to display to the user.

[1933] A "linked device" is a communication device that links with a user's smart device and synchronizes schedule information and reminders.

[1934] A "notification device" is a device that generates notifications based on synchronized information and notifies the user visually or audibly.

[1935] MODE FOR CARRYING OUT THE INVENTION

[1936] The present invention relates to a smart mirror system that optimizes and enriches the user's daily life. This system captures a user's image, analyzes the image data, recognizes their clothing, and suggests the most appropriate outfit based on weather and schedule information. It can also obtain the latest weather and news information and manage schedules in conjunction with the user's smart device. Furthermore, it can be combined with an emotion engine that recognizes the user's emotions to further personalize the displayed information and notifications.

[1937] System configuration

[1938] The system includes the following main components:

[1939] 1. Camera device: Captures an image of the user.

[1940] 2. Image processing device: Analyzes the captured image data and recognizes the user's clothing.

[1941] 3. Analysis device: Suggests optimal clothing based on weather information and the user's schedule information.

[1942] 4. Display device: The analysis results are displayed on the screen.

[1943] 5. Communication device: To get the latest weather and news information.

[1944] 6. Information selection device: Filters the acquired information and displays it to the user.

[1945] 7. Collaboration device: Collaborates with the user's smart device to synchronize schedule information and reminders.

[1946] 8. Notification device: Generates and displays notifications based on the synchronized information.

[1947] 9. Emotion recognition device: Analyzes the user's facial expressions and recognizes emotions.

[1948] Example of a system

[1949] Example 1: Getting ready in the morning

[1950] When a user wakes up in the morning and stands in front of the mirror, the device's camera captures an image of the user. The device's image processing device analyzes the captured image data using deep learning and recognizes the user's current outfit. The emotion recognition device analyzes the user's facial expressions and recognizes their emotions. This data is sent from the device to a server, and the server accesses a weather information API (e.g., OpenWeatherMap API) to obtain current weather information. The server also references the user's calendar information and checks the user's schedule for the day. Based on this information, the server suggests optimal outfits, which the device displays on its screen.

[1951] Example prompt sentence:

[1952] "Design a system that gathers the information necessary to suggest morning outfits and provides optimal suggestions to users."

[1953] Example 2: Displaying real-time information

[1954] The device's communications device periodically connects to the Internet and retrieves the latest weather and news information from an API. The server analyzes the retrieved information and filters it based on the interests and importance set by the user. The emotion recognition device then analyzes the user's current emotions and adjusts the content and presentation of the information displayed. The device then displays the filtered information on the mirror's display. For example, it may display a weather forecast such as "Today's weather is sunny," sports game results, or important news.

[1955] Example prompt sentence:

[1956] "Design a system that filters and displays information based on the user's real-time emotions."

[1957] Example 3: Schedule Sync and Notifications

[1958] The device connects to the user's smart device via Bluetooth or WiFi. This connection retrieves schedule data and reminder information from apps such as LINE. The server analyzes the user's schedule information and identifies important events and reminders. The emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications. For example, if the user is very tired, the notification may be delayed slightly. The device displays the identified information as a pop-up notification on the mirror's display, and uses audio alerts and visual effects to attract the user's attention.

[1959] Example prompt sentence:

[1960] "Design a system that captures the user's schedule and adjusts the content and timing of notifications based on their emotions."

[1961] With these configurations and operations, the system can streamline users' lives and provide personalized experiences tailored to their individual emotions, such as providing information and suggesting clothing based on the user's emotions and schedule.

[1962] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1963] Specific examples of getting ready in the morning

[1964] Step 1:

[1965] The user stands in front of a mirror

[1966] Input: None

[1967] Output: The device's camera is activated.

[1968] Specific operation: The system starts when the user stands in front of the mirror, and the camera device automatically starts up.

[1969] Step 2:

[1970] The device's camera captures an image of the user.

[1971] Input: User posture and movement

[1972] Output: Captured image data

[1973] Specific operation: A high-resolution camera captures the user's entire body, and the captured image is sent to an image processing device.

[1974] Step 3:

[1975] The device's image processing unit analyzes the captured image data and recognizes the clothing.

[1976] Input: Captured image data

[1977] Output: Recognized clothing information

[1978] Specific operation: The image processing device uses a deep learning model (e.g., TensorFlow) to analyze the user's clothing and output the results in data format.

[1979] Step 4:

[1980] The emotion recognition device analyzes the user's facial expressions and recognizes their emotions.

[1981] Input: User's captured facial image data

[1982] Output: Recognized emotion information

[1983] Specific operation: The emotion recognition device uses a facial expression analysis algorithm (e.g., OpenCV or Face++) to analyze the user's facial expression and identify the emotion.

[1984] Step 5:

[1985] The device sends the analyzed image data and emotional information to the server.

[1986] Input: Image data, clothing information, emotional information

[1987] Output: Send data to the server

[1988] Specific operation: The terminal collects all data and sends it to the server via the network.

[1989] Step 6:

[1990] The server accesses the weather information API and retrieves the current weather information.

[1991] Input: User's location

[1992] Output: Current weather information

[1993] Specific operation: The server accesses a weather information API (e.g., OpenWeatherMap) and obtains current weather information.

[1994] Step 7:

[1995] The server references the user's calendar information and checks the schedule for the day.

[1996] Input: User's calendar information

[1997] Output: Today's schedule information

[1998] Specific operation: The server uses the Google Calendar API to look up the user's schedule and check important events for the day.

[1999] Step 8:

[2000] The server suggests the best outfit based on weather, schedule, and emotional information.

[2001] Input: Weather information, schedule information, emotion information

[2002] Output: Clothing suggestion data

[2003] How it works: The server aggregates all the information and uses an algorithm to suggest the best outfit for the user (e.g., a formal shirt and jacket).

[2004] Step 9:

[2005] The device displays suggested outfits on the screen.

[2006] Input: Clothing suggestion data

[2007] Output: Clothing information displayed on the screen

[2008] Specific operation: The terminal displays the clothing suggestions received from the server on the display, allowing the user to confirm them.

[2009] Examples of real-time information display

[2010] Step 1:

[2011] The device's communication device periodically connects to the Internet to obtain the latest weather and news information.

[2012] Input: None

[2013] Output: Latest weather and news information

[2014] Specific operation: The communication device accesses the weather API and news API at regular intervals to obtain the latest information.

[2015] Step 2:

[2016] The server analyzes the information obtained and filters it based on the interests and importance set by the user.

[2017] Input: Latest weather and news information

[2018] Output: Filtered information

[2019] What it does: The server uses information analysis algorithms to filter information based on the user's interests.

[2020] Step 3:

[2021] An emotion recognition device analyzes the user's current emotions and adjusts the content and presentation of the information displayed.

[2022] Input: User's facial expression data

[2023] Output: Adjusted display information

[2024] Specific operation: The emotion recognition device understands the user's emotions and adjusts the information displayed and how it is expressed accordingly.

[2025] Step 4:

[2026] The device displays the filtered information on the mirror's display.

[2027] Input: Filtered information

[2028] Output: Information shown on the display

[2029] Specific operation: The device displays the filtered information on the mirror, allowing the user to visually confirm it.

[2030] Step 5:

[2031] If the user asks for more information, provide more information or related links

[2032] Input: User action (touch or voice command)

[2033] Output: Detailed information

[2034] What it does: When a user requests more information, the device provides additional information and related links.

[2035] Schedule Sync and Notification Examples

[2036] Step 1:

[2037] The terminal connects to the user's smart device via Bluetooth or WiFi.

[2038] Input: Schedule data from the user's smart device

[2039] Output: Synchronized schedule information

[2040] Specific operation: The terminal connects to the smart device via Bluetooth or WiFi and obtains schedule data.

[2041] Step 2:

[2042] The server analyzes the user's schedule information and identifies important events and reminders.

[2043] Input: Synced schedule information

[2044] Output: Information about identified important events

[2045] Specific operation: The server analyzes the schedule information and extracts particularly important events and reminders.

[2046] Step 3:

[2047] An emotion recognition device analyzes the user's emotions and adjusts the content and timing of notifications.

[2048] Input: User emotion data

[2049] Output: Adjusted notification information

[2050] Specific operation: The emotion recognition device understands the user's emotions and adjusts the content and timing of notifications based on the results.

[2051] Step 4:

[2052] The device will be identified and displayed as a pop-up notification on the mirror's display.

[2053] Input: Adjusted notification information

[2054] Output: Notifications shown on the display

[2055] What it does: It displays device-identified information as a pop-up notification on the mirror, and grabs the user's attention with audio alerts and visual effects.

[2056] Step 5:

[2057] The user sees the notification and responds using touch or voice commands.

[2058] Input: User action (touch or voice command)

[2059] Output: System behavior according to user instructions

[2060] Specific behavior: The user checks the notification, takes action by touch or voice if necessary, and the system takes action accordingly.

[2061] Through these processes, smart mirror systems can streamline users' daily lives and provide personalized experiences based on their emotions and schedules.

[2062] (Application example 2)

[2063] 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."

[2064] Existing try-on experiences in brick-and-mortar stores simply involve customers choosing and trying on their own outfits, lacking suggestions based on appropriate coordination and the latest trends. It is also difficult to provide personalized suggestions that address individual customers' emotions and needs. Therefore, there is a need to improve customer satisfaction and provide a more efficient and personalized try-on experience.

[2065] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2066] In this invention, the server includes an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data and recognizing the user's clothing, an information analysis device for suggesting optimal clothing based on weather information and the user's schedule, a display medium for displaying the analysis results on a display, an information display device for displaying information on seasons, fashion trends, and recommended items, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone and synchronizing and displaying purchasing schedules and promotional information. This makes it possible to provide customers with personalized try-on suggestions and coordination information in real time.

[2067] An "image capture device" is a device for capturing an image of a user.

[2068] An "image recognition device" is a device that analyzes captured image data and recognizes the user's clothing.

[2069] The "information analysis device" is a device that suggests optimal clothing based on weather information and the user's schedule information.

[2070] The "display medium" is a means for displaying the analysis results on a display.

[2071] An "information display device" is a device for displaying information on seasons, fashion trends, and recommended items.

[2072] An "emotion recognition device" is a device that analyzes a user's facial expressions and provides information based on the user's emotions.

[2073] A "synchronization device" is a device that works in conjunction with a user's smartphone to synchronize and display purchase schedules and promotional information.

[2074] The "communication function" is a means for obtaining the latest weather and news information.

[2075] The "information selection mechanism" is a means for filtering acquired information and displaying it to the user.

[2076] A "device linking apparatus" is an apparatus that links with a user's smart device and synchronizes schedule information and reminders.

[2077] A "notification generating device" is a device for generating and displaying notifications based on synchronized information.

[2078] The present invention is a system that optimizes a user's daily life and improves the fitting experience in a physical store. This system includes the following devices: an image capture device for capturing an image of the user, an image recognition device for analyzing the captured image data to recognize the user's outfit, an information analysis device for suggesting optimal outfits based on weather information and the user's schedule information, a display medium for displaying the analysis results on a screen, an information display device for displaying seasonal information, fashion trends, and recommended item information, an emotion recognition device for analyzing the user's facial expressions and providing information based on their emotions, and a synchronization device for linking with the user's smartphone to synchronize and display purchasing schedules and promotional information.

[2079] This system implements the following programs. First, when the user stands in front of the mirror, the device captures an image with its camera. A specific example of a camera is the Logitech C920. The captured image data is analyzed using image processing software such as OpenCV. The analyzed image data is then used by an information analysis device to recognize the user's clothing. This allows the system to suggest optimal clothing based on seasonal information, weather information, and the user's schedule. The suggestions are presented to the user on a display medium. A transparent display or the like can be used as the display medium.

[2080] Furthermore, the emotion recognition device uses a library called EmotionEngine to analyze emotions from the user's facial expressions. This information is used to suggest clothing and provide information. For example, if the user's facial expression looks happy, casual clothing will be suggested. On the other hand, if the user's facial expression looks calm, more formal clothing will be suggested.

[2081] Consider the following example: When a user is trying on a dress for a party, the system captures images and suggests the best jewelry and accessory outfits based on the weather and the user's schedule (date of the party). This information is displayed on the screen in real time.

[2082] The purchasing schedule and promotion information on the user's smartphone are also synchronized by the synchronization device and displayed in real time, allowing the user to make optimal purchasing decisions on the spot.

[2083] Finally, the following example prompt sentences are used:

[2084] "Based on the following weather information and emotion recognition results, please suggest a suitable outfit for the customer. Weather: Sunny, 19°C. Emotion: Happy expression. Image file: customer_image.jpg."

[2085] Using these devices and programs, the system is able to provide customers with personalized fitting suggestions and coordination information in real time.

[2086] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2087] Step 1:

[2088] The device captures an image with a camera when the user stands in front of the mirror. The input is the user's real-time video, and the output is the captured still image data. In operation, the camera (e.g., Logitech C920) captures the user's video and captures an image at that moment.

[2089] Step 2:

[2090] The device's image recognition device analyzes the captured image data to recognize the user's clothing. The input is the captured still image data, and the output is the recognition result of the user's clothing. Image processing software such as OpenCV is used to identify the clothing from the image.

[2091] Step 3:

[2092] The server's information analysis device uses the user's clothing recognition results, weather information, and schedule information to suggest optimal clothing. The inputs are clothing recognition results, weather information, and schedule information, and the output is optimal clothing suggestions. Specifically, it works in conjunction with weather APIs and calendar information to calculate optimal outfits.

[2093] Step 4:

[2094] The display media of the device displays the optimal outfit suggestions sent from the server to the user. The input is the optimal outfit suggestions, and the output is the outfit suggestions displayed on the display. The suggestions are projected onto a transparent display.

[2095] Step 5:

[2096] The device's emotion recognition device analyzes the user's facial expressions from images captured by the camera and recognizes emotions. The input is the captured still image data, and the output is the user's emotional information. Analysis is performed using an emotion recognition library such as EmotionEngine.

[2097] Step 6:

[2098] The server's information display device acquires information on seasons, fashion trends, and recommended items, and displays optimal information based on the user's emotions. The input is seasons, fashion trends, and user emotion information, and the output is a list of information to be displayed to the user. This is reflected on the display.

[2099] Step 7:

[2100] The synchronization device works in conjunction with the user's smartphone to synchronize purchase schedules and promotional information. The input is data from the user's smartphone, and the output is the synchronized purchase schedule and promotional information. The data is acquired using Bluetooth or WiFi and sent to the server.

[2101] Step 8:

[2102] The notification generating device generates notifications based on the synchronized information and displays them on a display medium. The input is the synchronized purchase schedule and promotion information, and the output is the generated notifications. Pop-up notifications are displayed on the display to prevent the user from missing important information.

[2103] In this way, the system provides users with personalized try-on suggestions and coordination information in real time.

[2104] 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.

[2105] 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.

[2106] 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.

[2107] 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.

[2108] 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.

[2109] 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.

[2110] 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).

[2111] 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.

[2112] 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."

[2113] 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.

[2114] 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).

[2115] 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.

[2116] 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.

[2117] 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.

[2118] 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.

[2119] 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.

[2120] 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.

[2121] 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.

[2122] 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.

[2123] 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.

[2124] 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.

[2125] The following is further disclosed regarding the above embodiment.

[2126] (Claim 1)

[2127] camera device means for capturing an image of the user;

[2128] an image processing device for analyzing the captured image data and recognizing the user's clothing;

[2129] An analysis device means for suggesting optimal clothing based on weather information and user schedule information;

[2130] A system including a display device means for displaying the analysis results on a display.

[2131] (Claim 2)

[2132] The system according to claim 1, comprising a "communication device" means for acquiring the latest weather and news information, and an "information selection device" means for filtering the acquired information and displaying it to the user.

[2133] (Claim 3)

[2134] The system of claim 1, comprising a "collaboration device" means for collaborating with a user's smart device and synchronizing schedule information and reminders, and a "notification device" means for generating and displaying notifications based on the synchronized information.

[2135] "Example 1"

[2136] (Claim 1)

[2137] an imaging device means for capturing an image of a user;

[2138] a data processing device means for analyzing the captured image data and recognizing the user's clothing;

[2139] An information analysis device means for suggesting optimal clothing based on weather information and user schedule information;

[2140] a display means for displaying the analysis results on a display;

[2141] a communication means for transmitting the user's profile information and analysis results to the server;

[2142] [information acquisition means] means for acquiring weather information and schedule information;

[2143] A system including a "suggestion generator" means for generating optimal outfit suggestions.

[2144] (Claim 2)

[2145] [Information and communication means] for obtaining the latest weather and news information;

[2146] The system of claim 1, further comprising an "information filtering device" means for filtering the acquired information and displaying it to the user.

[2147] (Claim 3)

[2148] a device synchronization means for synchronizing schedule information and reminders with a user's electronic device;

[2149] 10. The system of claim 1, further comprising a "notification generator" means for generating and displaying notifications based on the synchronized information.

[2150] "Application Example 1"

[2151] (Claim 1)

[2152] an imaging device means for capturing an image of a user;

[2153] an "image processing device" means for analyzing the captured image data and recognizing the user's clothing;

[2154] [Analysis device] means for suggesting optimal clothing based on weather information and user schedule information;

[2155] A system including a "display" means for displaying the analysis results,

[2156] A system including a "suggestion generator" means for generating suggestions in combination with other items and accessories in the store.

[2157] (Claim 2)

[2158] The system of claim 1, comprising: a communication device for acquiring the latest weather and news information; an information selection device for selecting the acquired information and displaying it to the user; and a style suggestion device for making style suggestions based on current weather conditions and the latest fashion information.

[2159] (Claim 3)

[2160] The system of claim 1, comprising a "linking device" means for linking with the user's information terminal and synchronizing schedule information, reminders, and shopping information, and a "notification device" means for generating and displaying notifications based on the synchronized information.

[2161] "Example 2: Combining Emotion Engines"

[2162] (Claim 1)

[2163] camera device means for capturing an image of the user;

[2164] an image processing device for analyzing the captured image data and recognizing the user's clothing;

[2165] An analysis device means for suggesting optimal clothing based on weather information and user schedule information;

[2166] a display device for displaying the analysis results on a display;

[2167] A system including an "emotion recognition device" means for analyzing a user's emotions and adjusting the content of information and notifications.

[2168] (Claim 2)

[2169] The system according to claim 1, comprising a "communication device" means for acquiring the latest weather and news information, and an "information selection device" means for filtering the acquired information and displaying it to the user.

[2170] (Claim 3)

[2171] The system of claim 1, comprising a "collaboration device" means for collaborating with a user's smart device and synchronizing schedule information and reminders, and a "notification device" means for generating and displaying notifications based on the synchronized information.

[2172] "Application example 2 when combining emotion engines"

[2173] (Claim 1)

[2174] an image capture device means for capturing an image of a user;

[2175] an image recognition device for analyzing the captured image data and recognizing the user's clothing;

[2176] An information analysis device means for suggesting optimal clothing based on weather information and user schedule information;

[2177] a display medium for displaying the analysis results on a display;

[2178] an "information display device" means for displaying information on season information, fashion trends, and recommended items;

[2179] An emotion recognition device for analyzing a user's facial expression and providing information based on the user's emotion;

[2180] The system includes a synchronization device that works in conjunction with the user's smartphone to synchronize and display purchase schedules and promotional information.

[2181] (Claim 2)

[2182] The system according to claim 1, comprising a "communication function" mea...

Claims

1. camera means for capturing an image of the user; an "image processing device" means for analyzing the captured image data and recognizing the user's clothing; An "analysis device" means for suggesting optimal clothing based on weather information and user schedule information; A system including a display device means for displaying the analysis results on a display.

2. 2. The system according to claim 1, further comprising: a communication device for acquiring the latest weather and news information; and an information selection device for filtering the acquired information and displaying it to the user.

3. The system of claim 1, further comprising a "collaboration device" means for collaborating with a user's smart device and synchronizing schedule information and reminders, and a "notification device" means for generating and displaying notifications based on the synchronized information.

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