system

Abstract

The system according to the embodiment aims to enable dementia patients and elderly people to visually manage their daily schedules and important information, thereby reducing the burden on their families and caregivers. [Solution] The system according to the embodiment comprises an input unit, a display unit, a voice guidance unit, and a remote input unit. The input unit allows the user to input daily schedules and important information. The display unit visually displays the information input by the input unit. The voice guidance unit provides voice guidance for the information displayed on the display unit. The remote input unit allows the patient's family or caregivers to input and update information remotely.

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] Conventional technology has made it difficult for people with dementia and elderly people to manage their daily schedules and important information, placing a heavy burden on their families and caregivers.

[0005] The system according to the embodiment aims to enable dementia patients and elderly people to visually manage their daily schedules and important information, thereby reducing the burden on their families and caregivers. [Means for solving the problem]

[0006] The system according to the embodiment comprises an input unit, a display unit, a voice guidance unit, and a remote input unit. The input unit allows the user to input daily schedules and important information. The display unit visually displays the information input by the input unit. The voice guidance unit provides voice guidance for the information displayed on the display unit. The remote input unit allows the patient's family or caregiver to input and update information remotely. [Effects of the Invention]

[0007] The system according to the embodiment enables dementia patients and elderly people to visually manage their daily schedules and important information, thereby reducing the burden on their families and caregivers. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A system according to an embodiment of the present invention is a physical device for dementia patients and the elderly. This system visually displays daily schedules and important information. This system aims to support individuals who have difficulty managing information in daily life due to cognitive decline and promote their independence. It also emphasizes reducing the burden on patients' families and caregivers. For example, the system includes an input unit that allows users to input daily schedules and important information. It also includes a display unit that visually displays the input information. For example, when an appointment approaches, the device sounds an alarm and displays the schedule on the screen. Important information (e.g., medication times and doctor's appointments) is also displayed. Furthermore, the system includes a remote input unit that allows patients' families and caregivers to remotely input and update information. This allows families and caregivers to always receive the latest information necessary for patients, allowing them to support their daily lives with peace of mind. Taking into account the user's cognitive decline, the system is designed for easy and intuitive operation. For example, it uses large buttons and a simple interface to facilitate user interaction. Furthermore, it includes an audio guide unit that not only displays information visually but also provides audio guidance, providing information both visually and audibly to help users understand the system. In this way, the system is a multifunctional physical device that promotes the independence of dementia patients and elderly people and reduces the burden on their families and caregivers by allowing dementia patients and elderly people to visually check their daily schedules and important information and receive voice guidance, thereby promoting independence and reducing the burden on their families and caregivers.

[0029] The system according to the embodiment includes an input unit, a display unit, a voice guidance unit, and a remote input unit. The input unit allows a user to input daily schedules and important information. For example, the input unit can input information using a touch panel. The input unit can also input information using a keyboard or voice input. The display unit visually displays the information input by the input unit. For example, the display unit can display information using an LCD display. The display unit can also display information using an LED display or electronic paper. The voice guidance unit provides voice guidance for the information displayed on the display unit. For example, the voice guidance unit can provide voice guidance using a speaker. The voice guidance unit can also provide voice guidance using headphones or earphones. The remote input unit allows a patient's family or caregiver to remotely input and update information. For example, the remote input unit can receive information via the Internet. The remote input unit can also receive information via Bluetooth (registered trademark) or Wi-Fi. This allows the system according to the embodiment to promote independence for dementia patients and elderly people by visually checking daily schedules and important information and receiving voice guidance, thereby reducing the burden on family and caregivers.

[0030] The input unit can input information using a touch panel. Examples of touch panels include, but are not limited to, capacitive and resistive touch panels. The input unit can input information using, for example, a capacitive touch panel. The input unit can also input information using a resistive touch panel. For example, a capacitive touch panel can be operated using a finger or a dedicated stylus pen. A resistive touch panel can be operated using a finger, a pen, or even while wearing gloves. This allows a user to intuitively input information using the touch panel. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input information input via the touch panel to AI, which can analyze the information and perform appropriate processing.

[0031] The display unit can display information using a liquid crystal display. Examples of liquid crystal displays include, but are not limited to, TFT liquid crystal displays and IPS liquid crystal displays. The display unit can display information using, for example, a TFT liquid crystal display. The display unit can also display information using an IPS liquid crystal display. For example, TFT liquid crystal displays have a fast response speed and high resolution, making them suitable for displaying moving images and detailed information. IPS liquid crystal displays have a wide viewing angle and high color reproducibility, making them suitable for situations where multiple people are viewing the screen simultaneously or where color accuracy is required. This allows the use of an LCD display to display information visually clearly. Some or all of the above-described processing in the display unit can be performed, for example, using AI, or can be performed without AI. For example, the display unit can input information to be displayed on the LCD display into AI, which can analyze the information and display it appropriately.

[0032] The voice guidance unit can provide information by voice using a speaker. Examples of speakers include, but are not limited to, built-in speakers and external speakers. The voice guidance unit can provide information by voice using, for example, a built-in speaker. The voice guidance unit can also provide information by voice using an external speaker. For example, a built-in speaker is built into the device body and is easy to use because it does not require an external speaker to be connected. An external speaker is often used to provide voice guidance with higher sound quality. This allows information to be provided both visually and aurally by using a speaker. Some or all of the above-described processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input voice data to be played back by the speaker into AI, which can analyze the voice data and provide appropriate voice guidance.

[0033] The remote input unit can receive information via the Internet. Examples of Internet connections include, but are not limited to, Wi-Fi connections and VPNs. The remote input unit can receive information using, for example, a Wi-Fi connection. The remote input unit can also receive information using a VPN. For example, a Wi-Fi connection connects to the Internet wirelessly, allowing information to be received without using cables. A VPN is a technology for securely transmitting and receiving data over the Internet and is often used as a security measure. This allows family members and caregivers to remotely input and update information by receiving it via the Internet. Some or all of the above-described processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information received via the Internet into AI, which then analyzes the information and performs appropriate processing.

[0034] The display unit can sound an alarm when the scheduled time approaches and display the details of the schedule on the screen. Examples of alarm settings include, but are not limited to, volume, type of sound, and duration. For example, the display unit can adjust the volume of the alarm. The display unit can also change the type of sound. For example, the volume can be adjusted according to the user's preferences. The type of sound can be selected from multiple options, allowing the user to set their preferred sound. The duration of the alarm can be set, allowing the alarm to sound for as long as the user needs. This allows the alarm to sound when the scheduled time approaches and display the details of the schedule on the screen, helping the user to remember the schedule. Some or all of the above-described processing in the display unit can be performed using, for example, AI, or without AI. For example, the display unit can notify AI that the scheduled time is approaching, and the AI ​​can sound the alarm and display the details of the schedule on the screen.

[0035] The display unit can display important information. Important information includes, for example, medication times and doctor appointments, but is not limited to these examples. The display unit can, for example, display medication times. The display unit can also display doctor appointments. For example, medication times can be displayed at a time set by the user, allowing the user to remember to take their medication. For doctor appointments, the date, time, and location of the appointment can be displayed, allowing the user to confirm the appointment without forgetting. In this way, by displaying important information, the user can reliably check the information they need. Some or all of the above-mentioned processing on the display unit may be performed, for example, using AI, or may be performed without using AI. For example, the display unit can input important information into AI, which analyzes the information and displays it appropriately.

[0036] The input unit can analyze the user's past input history and suggest the optimal input method. For example, the input unit can automatically display information that the user has frequently input in the past as candidates. The input unit can also prioritize and suggest input methods (touch, voice, etc.) that the user has used in the past. Furthermore, the input unit can predict and suggest information to be input during a specific time period based on the user's past input history. In this way, by analyzing the user's past input history, the optimal input method can be suggested, making input work more efficient. Some or all of the above-mentioned processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input past input history data to a generation AI, which can analyze the data and suggest the optimal input method.

[0037] The input unit can filter the input content based on the user's current health condition and activity level when inputting. For example, if the user is tired, the input unit can prompt the user to enter only important information. The input unit can also provide an option to enter detailed information if the user is active. Furthermore, the input unit can simplify the input content according to the user's health condition. This allows appropriate information to be input by filtering the input content according to the user's health condition and activity level. The health condition and activity level are evaluated using, for example, data such as heart rate and pedometer data. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without AI. For example, the input unit can input the user's health data into a generation AI, which can analyze the data and filter appropriate input content.

[0038] The input unit can prioritize input of highly relevant information based on the user's geographical location information during input. For example, when the user is in a specific location, the input unit prioritizes input of information related to that location. Furthermore, when the user is traveling, the input unit can also prompt the user to input information related to their destination. Furthermore, when the user is at home, the input unit can prioritize input of information related to their home. In this way, highly relevant information can be prioritized by taking the user's geographical location information into consideration. The geographical location information is acquired using, for example, GPS data or a location information service. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input the user's geographical location data to a generation AI, which can analyze the data and prioritize input of highly relevant information.

[0039] The input unit can analyze the user's social media activity at the time of input and input relevant information. The input unit can, for example, input relevant plans based on information shared by the user on social media. The input unit can also input plans based on events the user is following on social media. The input unit can also extract and input important information from the user's social media activity. This allows for efficient input of relevant information by analyzing the user's social media activity. The analysis of social media activity is performed based on, for example, the content of posts and the number of likes. Some or all of the above-mentioned processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input the user's social media data to a generation AI, which then analyzes the data and inputs relevant information.

[0040] The display unit can adjust the level of detail of the display based on the importance of the information when displaying the information. For example, the display unit can display important information in detail so that the user can quickly understand it. The display unit can also simplify and display information of low importance to reduce the burden on the user. Furthermore, the display unit can highlight and display urgent information to attract the user's attention. In this way, by adjusting the level of detail of the display based on the importance of the information, the user can quickly understand the important information. The adjustment of the level of detail of the display is performed, for example, based on the importance of the information and user settings. Some or all of the above-mentioned processing in the display unit may be performed, for example, using AI, or may be performed without using AI. For example, the display unit can input information importance data to a generation AI, which analyzes the data and determines the level of detail of the display.

[0041] The display unit can apply different display algorithms depending on the category of information when displaying the information. For example, the display unit can display information about schedules in a calendar format to make it visually easy to understand. The display unit can also display information about medication times in a list format to make it easy for the user to check. Furthermore, the display unit can display information about doctor's appointments in a notification format to help the user remember. In this way, by applying different display algorithms depending on the category of information, the user can visually check the information in an easy-to-understand manner. The application of the display algorithm is based on, for example, the display method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input information category data to a generation AI, which analyzes the data and applies an appropriate display algorithm.

[0042] The display unit can determine the display priority based on the time when the information was submitted when displaying the information. For example, the display unit can prioritize displaying upcoming schedules so that the user can check them immediately. The display unit can also simplify and display past information to reduce the burden on the user. Furthermore, the display unit can display future schedules in a reminder format so that the user does not forget. In this way, by determining the display priority based on the time when the information was submitted, the user can prioritize checking the most recent information. The display priority is determined based on, for example, the time when the information was submitted and the importance of the information. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input information submission time data to a generation AI, which can analyze the data and determine the display priority.

[0043] The display unit can adjust the display order based on the relevance of the information when displaying the information. For example, the display unit can prioritize displaying highly relevant information so that the user can quickly check it. The display unit can also simplify and display less relevant information to reduce the burden on the user. Furthermore, the display unit can group and display related information so that the user can understand it at a glance. This allows the user to efficiently check related information by adjusting the display order based on the relevance of the information. The display order is adjusted based on, for example, the relevance or importance of the information. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input relevance data of the information to a generation AI, which can analyze the data and determine the display order.

[0044] The voice guidance unit can adjust the level of detail of the voice guidance based on the importance of the information when providing voice guidance. For example, the voice guidance unit can provide detailed voice guidance for important information so that the user can understand it immediately. The voice guidance unit can also provide simplified voice guidance for less important information to reduce the burden on the user. Furthermore, the voice guidance unit can provide voice guidance that emphasizes urgent information to attract the user's attention. In this way, by adjusting the level of detail of the voice guidance based on the importance of the information, the user can quickly understand important information. The adjustment of the level of detail of the voice guidance is performed based on, for example, the importance of the information and user settings. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information importance data to a generation AI, which can analyze the data and determine the level of detail of the voice guidance.

[0045] The voice guidance unit can apply different voice guidance algorithms depending on the category of information when providing voice guidance. For example, the voice guidance unit may provide voice guidance in a calendar format for information regarding schedules, making the information visually easy to understand. The voice guidance unit may also provide voice guidance in a list format for information regarding medication times, making it easy for the user to check. The voice guidance unit may also provide voice guidance in a notification format for information regarding doctor's appointments, making it easy for the user to remember. In this way, by applying different voice guidance algorithms depending on the category of information, the user can visually check the information. The application of the voice guidance algorithm is based on, for example, the guidance method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information category data into a generation AI, which analyzes the data and applies an appropriate voice guidance algorithm.

[0046] The voice guidance unit can determine the priority of voice guidance based on the time when information was submitted when providing voice guidance. For example, the voice guidance unit can prioritize upcoming schedules so that the user can check them immediately. The voice guidance unit can also simplify past information when providing voice guidance, thereby reducing the burden on the user. Furthermore, the voice guidance unit can also provide voice guidance in the form of reminders for future schedules so that the user does not forget. In this way, by determining the priority of voice guidance based on the time when information was submitted, the user can prioritize checking the most recent information. The priority of voice guidance is determined based on, for example, the time when information was submitted and its importance. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without AI. For example, the voice guidance unit can input information submission time data into a generation AI, which can analyze the data and determine the priority of voice guidance.

[0047] The voice guidance unit can adjust the order of voice guidance based on the relevance of information when providing voice guidance. For example, the voice guidance unit can prioritize highly relevant information to allow the user to quickly confirm it. The voice guidance unit can also simplify less relevant information when providing voice guidance, reducing the burden on the user. Furthermore, the voice guidance unit can group related information and provide voice guidance so that the user can understand it at a glance. This allows the user to efficiently confirm related information by adjusting the order of voice guidance based on the relevance of the information. The adjustment of the order of voice guidance is performed based on, for example, the relevance or importance of the information. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information relevance data into a generation AI, which can analyze the data and determine the order of voice guidance.

[0048] The remote input unit can adjust the level of detail of the input based on the importance of the information during remote input. For example, the remote input unit can input important information in detail so that the user can understand it immediately. The remote input unit can also simplify information of low importance and input it to reduce the burden on the user. Furthermore, the remote input unit can emphasize urgent information and input it to attract the user's attention. In this way, by adjusting the level of detail of the input based on the importance of the information, the user can quickly understand the important information. The adjustment of the level of detail of the input is performed, for example, based on the importance of the information, user settings, etc. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without using AI. For example, the remote input unit can input information importance data to a generation AI, which can analyze the data and determine the level of detail of the input.

[0049] The remote input unit can apply different input algorithms depending on the category of information when remotely inputting. For example, the remote input unit can input information about schedules in a calendar format to make it visually easy to understand. The remote input unit can also input information about medication times in a list format to make it easy for the user to check. Furthermore, the remote input unit can input information about doctor's appointments in a notification format to help the user remember. In this way, by applying different input algorithms depending on the category of information, the user can visually check the information in an easy-to-understand manner. The application of the input algorithm is based on, for example, the input method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without using AI. For example, the remote input unit can input information category data to a generation AI, which analyzes the data and applies an appropriate input algorithm.

[0050] The remote input unit can determine the priority of input based on the time of information submission during remote input. For example, the remote input unit can prioritize input of upcoming schedules so that the user can check them immediately. The remote input unit can also simplify past information before input, reducing the burden on the user. Furthermore, the remote input unit can input future schedules in reminder format so that the user does not forget. In this way, by determining the priority of input based on the time of information submission, the user can prioritize checking the most recent information. The input priority is determined based on, for example, the time of information submission and the importance of the information. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information submission time data to a generation AI, which can analyze the data and determine the priority of input.

[0051] The remote input unit can adjust the order of input based on the relevance of information during remote input. For example, the remote input unit can prioritize input of highly relevant information so that the user can quickly confirm it. The remote input unit can also simplify and input less relevant information, reducing the burden on the user. Furthermore, the remote input unit can group and input related information so that the user can understand it at a glance. This allows the user to efficiently confirm related information by adjusting the order of input based on the relevance of the information. The adjustment of the order of input is performed based on, for example, the relevance or importance of the information. Some or all of the above-described processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information relevance data to a generation AI, which can analyze the data and determine the order of input.

[0052] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0053] The system can monitor the user's health condition and adjust the display content based on the health condition. For example, if the user's heart rate is high, the display can display information in subdued colors and a simple design to reduce visual stress. If the user's health condition is good, the display can display information in bright colors and detailed information, allowing the user to enjoy the information. Furthermore, if the user is tired, the display can display information in highly visible colors and large fonts to allow the user to easily view the information. In this way, adjusting the display content according to the user's health condition can reduce stress and help the user understand the information.

[0054] The system can analyze a user's past behavioral history and adjust the display order of information based on the behavioral history. For example, it can prioritize displaying information that the user frequently checked in the past, allowing the user to quickly obtain the information they need. It can also simplify and display information that the user did not check frequently in the past, reducing the burden on the user. Furthermore, it can group and display highly relevant information based on the user's behavioral history, allowing the user to understand it at a glance. In this way, adjusting the display order of information based on the user's past behavioral history allows the user to efficiently check relevant information.

[0055] The system can acquire the user's geographical location information and adjust the display content based on the location information. For example, when the user is in a specific location, information related to that location can be displayed preferentially, allowing the user to quickly obtain the information they need. When the user is traveling, information related to the user's destination can be displayed preferentially, allowing the user to easily plan their next move. When the user is at home, information related to the user's home can be displayed preferentially, allowing the user to smoothly carry out their daily life. In this way, adjusting the display content based on the user's geographical location information allows the user to efficiently obtain the information they need.

[0056] The system can analyze a user's social media activity and adjust the display content based on the activity. For example, the system can display related appointments and events based on information shared by the user on social media, allowing the user to quickly obtain the information they need. The system can also display appointments based on events the user follows on social media, allowing the user to remember to attend. Furthermore, the system can extract and display important information from the user's social media activity, allowing the user to efficiently check the information they need. In this way, by adjusting the display content based on the user's social media activity, the user can efficiently obtain relevant information.

[0057] The processing flow of the first embodiment will be briefly explained below.

[0058] Step 1: The user inputs daily schedules and important information into the input unit. For example, the input unit can input information using a touch panel, a keyboard, or voice input. Step 2: The display unit visually displays the information input by the input unit. For example, the display unit can display information using a liquid crystal display, an LED display, or electronic paper. Step 3: The audio guidance unit provides audio guidance of the information displayed on the display unit. For example, the audio guidance unit can provide audio guidance of the information using a speaker, headphones, or earphones. Step 4: The remote input unit allows the patient's family or caregivers to enter and update information remotely. For example, the remote input unit can receive information via the internet, Bluetooth, or Wi-Fi.

[0059] (Example 2) A system according to an embodiment of the present invention is a physical device for dementia patients and the elderly. This system visually displays daily schedules and important information. This system aims to support individuals who have difficulty managing information in daily life due to cognitive decline and promote their independence. It also emphasizes reducing the burden on patients' families and caregivers. For example, the system includes an input unit that allows users to input daily schedules and important information. It also includes a display unit that visually displays the input information. For example, when an appointment approaches, the device sounds an alarm and displays the schedule on the screen. Important information (e.g., medication times and doctor's appointments) is also displayed. Furthermore, the system includes a remote input unit that allows patients' families and caregivers to remotely input and update information. This allows families and caregivers to always receive the latest information necessary for patients, allowing them to support their daily lives with peace of mind. Taking into account the user's cognitive decline, the system is designed for easy and intuitive operation. For example, it uses large buttons and a simple interface to facilitate user interaction. Furthermore, it includes an audio guide unit that not only displays information visually but also provides audio guidance, providing information both visually and audibly to help users understand the system. In this way, the system is a multifunctional physical device that promotes the independence of dementia patients and elderly people and reduces the burden on their families and caregivers by allowing dementia patients and elderly people to visually check their daily schedules and important information and receive voice guidance, thereby promoting independence and reducing the burden on their families and caregivers.

[0060] The system according to the embodiment includes an input unit, a display unit, a voice guidance unit, and a remote input unit. The input unit allows a user to input daily schedules and important information. For example, the input unit can input information using a touch panel. The input unit can also input information using a keyboard or voice input. The display unit visually displays the information input by the input unit. For example, the display unit can display information using an LCD display. The display unit can also display information using an LED display or electronic paper. The voice guidance unit provides voice guidance for the information displayed on the display unit. For example, the voice guidance unit can provide voice guidance using a speaker. The voice guidance unit can also provide voice guidance using headphones or earphones. The remote input unit allows a patient's family or caregiver to remotely input and update information. For example, the remote input unit can receive information via the Internet. The remote input unit can also receive information via Bluetooth or Wi-Fi. This allows the system according to the embodiment to promote independence for dementia patients and elderly people by visually checking daily schedules and important information and receiving voice guidance, thereby reducing the burden on family and caregivers.

[0061] The input unit can input information using a touch panel. Examples of touch panels include, but are not limited to, capacitive and resistive touch panels. The input unit can input information using, for example, a capacitive touch panel. The input unit can also input information using a resistive touch panel. For example, a capacitive touch panel can be operated using a finger or a dedicated stylus pen. A resistive touch panel can be operated using a finger, a pen, or even while wearing gloves. This allows a user to intuitively input information using the touch panel. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input information input via the touch panel to AI, which can analyze the information and perform appropriate processing.

[0062] The display unit can display information using a liquid crystal display. Examples of liquid crystal displays include, but are not limited to, TFT liquid crystal displays and IPS liquid crystal displays. The display unit can display information using, for example, a TFT liquid crystal display. The display unit can also display information using an IPS liquid crystal display. For example, TFT liquid crystal displays have a fast response speed and high resolution, making them suitable for displaying moving images and detailed information. IPS liquid crystal displays have a wide viewing angle and high color reproducibility, making them suitable for situations where multiple people are viewing the screen simultaneously or where color accuracy is required. This allows the use of an LCD display to display information visually clearly. Some or all of the above-described processing in the display unit can be performed, for example, using AI, or can be performed without AI. For example, the display unit can input information to be displayed on the LCD display into AI, which can analyze the information and display it appropriately.

[0063] The voice guidance unit can provide information by voice using a speaker. Examples of speakers include, but are not limited to, built-in speakers and external speakers. The voice guidance unit can provide information by voice using, for example, a built-in speaker. The voice guidance unit can also provide information by voice using an external speaker. For example, a built-in speaker is built into the device body and is easy to use because it does not require an external speaker to be connected. An external speaker is often used to provide voice guidance with higher sound quality. This allows information to be provided both visually and aurally by using a speaker. Some or all of the above-described processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input voice data to be played back by the speaker into AI, which can analyze the voice data and provide appropriate voice guidance.

[0064] The remote input unit can receive information via the Internet. Examples of Internet connections include, but are not limited to, Wi-Fi connections and VPNs. The remote input unit can receive information using, for example, a Wi-Fi connection. The remote input unit can also receive information using a VPN. For example, a Wi-Fi connection connects to the Internet wirelessly, allowing information to be received without using cables. A VPN is a technology for securely transmitting and receiving data over the Internet and is often used as a security measure. This allows family members and caregivers to remotely input and update information by receiving it via the Internet. Some or all of the above-described processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information received via the Internet into AI, which then analyzes the information and performs appropriate processing.

[0065] The display unit can sound an alarm when the scheduled time approaches and display the details of the schedule on the screen. Examples of alarm settings include, but are not limited to, volume, type of sound, and duration. For example, the display unit can adjust the volume of the alarm. The display unit can also change the type of sound. For example, the volume can be adjusted according to the user's preferences. The type of sound can be selected from multiple options, allowing the user to set their preferred sound. The duration of the alarm can be set, allowing the alarm to sound for as long as the user needs. This allows the alarm to sound when the scheduled time approaches and display the details of the schedule on the screen, helping the user to remember the schedule. Some or all of the above-described processing in the display unit can be performed using, for example, AI, or without AI. For example, the display unit can notify AI that the scheduled time is approaching, and the AI ​​can sound the alarm and display the details of the schedule on the screen.

[0066] The display unit can display important information. Important information includes, for example, medication times and doctor appointments, but is not limited to these examples. The display unit can, for example, display medication times. The display unit can also display doctor appointments. For example, medication times can be displayed at a time set by the user, allowing the user to remember to take their medication. For doctor appointments, the date, time, and location of the appointment can be displayed, allowing the user to confirm the appointment without forgetting. In this way, by displaying important information, the user can reliably check the information they need. Some or all of the above-mentioned processing on the display unit may be performed, for example, using AI, or may be performed without using AI. For example, the display unit can input important information into AI, which analyzes the information and displays it appropriately.

[0067] The system includes an input unit that estimates a user's emotions and adjusts the color and design of an input interface based on the estimated user emotions. For example, when the user is stressed, the input unit provides a calming interface to reduce visual stress. Furthermore, when the user is relaxed, the input unit can provide a brightly colored interface to make inputting more enjoyable. Furthermore, when the user is tired, the input unit can provide a simple, highly visible interface to make inputting more enjoyable. By adjusting the color and design of the input interface according to the user's emotions, the user's stress can be reduced and inputting more enjoyable. The emotion estimation is realized using an emotion estimation function, for example, an emotion engine or a generative AI. The generative AI may be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or without AI. For example, the input unit inputs the user's emotion data into the generative AI, which then analyzes the emotion and determines an appropriate interface color and design.

[0068] The input unit can analyze the user's past input history and suggest the optimal input method. For example, the input unit can automatically display information that the user has frequently input in the past as candidates. The input unit can also prioritize and suggest input methods (touch, voice, etc.) that the user has used in the past. Furthermore, the input unit can predict and suggest information to be input during a specific time period based on the user's past input history. In this way, by analyzing the user's past input history, the optimal input method can be suggested, making input work more efficient. Some or all of the above-mentioned processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input past input history data to a generation AI, which can analyze the data and suggest the optimal input method.

[0069] The input unit can filter the input content based on the user's current health condition and activity level when inputting. For example, if the user is tired, the input unit can prompt the user to enter only important information. The input unit can also provide an option to enter detailed information if the user is active. Furthermore, the input unit can simplify the input content according to the user's health condition. This allows appropriate information to be input by filtering the input content according to the user's health condition and activity level. The health condition and activity level are evaluated using, for example, data such as heart rate and pedometer data. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without AI. For example, the input unit can input the user's health data into a generation AI, which can analyze the data and filter appropriate input content.

[0070] The input unit can estimate the user's emotions and prioritize inputs based on the estimated user emotions. For example, if the user is feeling stressed, the input unit can prompt the user to input important information first. The input unit can also provide an option to input detailed information if the user is relaxed. Furthermore, if the user is in a hurry, the input unit can provide a simplified interface to enable quick input. This allows important information to be input first by prioritizing inputs based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the input unit can be performed using, for example, AI, or without AI. For example, the input unit can input the user's emotion data into a generation AI, which can analyze the data and prioritize the inputs.

[0071] The input unit can prioritize input of highly relevant information based on the user's geographical location information during input. For example, when the user is in a specific location, the input unit prioritizes input of information related to that location. Furthermore, when the user is traveling, the input unit can also prompt the user to input information related to their destination. Furthermore, when the user is at home, the input unit can prioritize input of information related to their home. In this way, highly relevant information can be prioritized by taking the user's geographical location information into consideration. The geographical location information is acquired using, for example, GPS data or a location information service. Some or all of the above-described processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input the user's geographical location data to a generation AI, which can analyze the data and prioritize input of highly relevant information.

[0072] The input unit can analyze the user's social media activity at the time of input and input relevant information. The input unit can, for example, input relevant plans based on information shared by the user on social media. The input unit can also input plans based on events the user is following on social media. The input unit can also extract and input important information from the user's social media activity. This allows for efficient input of relevant information by analyzing the user's social media activity. The analysis of social media activity is performed based on, for example, the content of posts and the number of likes. Some or all of the above-mentioned processing in the input unit may be performed using, for example, AI, or may be performed without using AI. For example, the input unit can input the user's social media data to a generation AI, which then analyzes the data and inputs relevant information.

[0073] The display unit can estimate the user's emotions and adjust the color and font of the displayed content based on the estimated user's emotions. For example, if the user is stressed, the display unit can display information in subdued colors and large fonts. Furthermore, if the user is relaxed, the display unit can display information in bright colors and standard fonts. Furthermore, if the user is tired, the display unit can display information in highly visible colors and large fonts. This reduces visual stress and aids in understanding the information by adjusting the color and font of the displayed content according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generation AI. The generation AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the display unit can be performed using, for example, AI, or without AI. For example, the display unit can input the user's emotion data into a generation AI, which can analyze the data and determine the color and font of the displayed content.

[0074] The display unit can adjust the level of detail of the display based on the importance of the information when displaying the information. For example, the display unit can display important information in detail so that the user can quickly understand it. The display unit can also simplify and display information of low importance to reduce the burden on the user. Furthermore, the display unit can highlight and display urgent information to attract the user's attention. In this way, by adjusting the level of detail of the display based on the importance of the information, the user can quickly understand the important information. The adjustment of the level of detail of the display is performed, for example, based on the importance of the information and user settings. Some or all of the above-mentioned processing in the display unit may be performed, for example, using AI, or may be performed without using AI. For example, the display unit can input information importance data to a generation AI, which analyzes the data and determines the level of detail of the display.

[0075] The display unit can apply different display algorithms depending on the category of information when displaying the information. For example, the display unit can display information about schedules in a calendar format to make it visually easy to understand. The display unit can also display information about medication times in a list format to make it easy for the user to check. Furthermore, the display unit can display information about doctor's appointments in a notification format to help the user remember. In this way, by applying different display algorithms depending on the category of information, the user can visually check the information in an easy-to-understand manner. The application of the display algorithm is based on, for example, the display method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input information category data to a generation AI, which analyzes the data and applies an appropriate display algorithm.

[0076] The display unit can estimate the user's emotions and adjust the length of the display based on the estimated user emotions. For example, when the user is stressed, the display unit can display a short, to-the-point message. When the user is relaxed, the display unit can also display a longer message containing detailed information. Furthermore, when the user is in a hurry, the display unit can display a concise message for quick understanding. This allows the user to quickly understand information by adjusting the length of the display according to the user's emotions. The emotion estimation is realized using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the display unit can be performed using, for example, an AI, or without an AI. For example, the display unit can input the user's emotion data into the generation AI, which can analyze the data and determine the length of the display.

[0077] The display unit can determine the display priority based on the time when the information was submitted when displaying the information. For example, the display unit can prioritize displaying upcoming schedules so that the user can check them immediately. The display unit can also simplify and display past information to reduce the burden on the user. Furthermore, the display unit can display future schedules in a reminder format so that the user does not forget. In this way, by determining the display priority based on the time when the information was submitted, the user can prioritize checking the most recent information. The display priority is determined based on, for example, the time when the information was submitted and the importance of the information. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input information submission time data to a generation AI, which can analyze the data and determine the display priority.

[0078] The display unit can adjust the display order based on the relevance of the information when displaying the information. For example, the display unit can prioritize displaying highly relevant information so that the user can quickly check it. The display unit can also simplify and display less relevant information to reduce the burden on the user. Furthermore, the display unit can group and display related information so that the user can understand it at a glance. This allows the user to efficiently check related information by adjusting the display order based on the relevance of the information. The display order is adjusted based on, for example, the relevance or importance of the information. Some or all of the above-mentioned processing in the display unit may be performed using, for example, AI, or may be performed without using AI. For example, the display unit can input relevance data of the information to a generation AI, which can analyze the data and determine the display order.

[0079] The voice guidance unit can estimate the user's emotions and adjust the tone and speed of the voice guidance based on the estimated user's emotions. For example, if the user is nervous, the voice guidance unit can provide guidance in a calm tone and at a slower pace. If the user is relaxed, the voice guidance unit can also provide guidance in a brighter tone and at a standard speed. If the user is in a hurry, the voice guidance unit can also provide quick and concise voice guidance. This allows the user to easily understand information by adjusting the tone and speed of the voice guidance according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples. Some or all of the above-described processing in the voice guidance unit may be performed using, for example, AI, or without AI. For example, the voice guidance unit can input the user's emotion data into the generation AI, which can then analyze the data and determine the tone and speed of the voice guidance.

[0080] The voice guidance unit can adjust the level of detail of the voice guidance based on the importance of the information when providing voice guidance. For example, the voice guidance unit can provide detailed voice guidance for important information so that the user can understand it immediately. The voice guidance unit can also provide simplified voice guidance for less important information to reduce the burden on the user. Furthermore, the voice guidance unit can provide voice guidance that emphasizes urgent information to attract the user's attention. In this way, by adjusting the level of detail of the voice guidance based on the importance of the information, the user can quickly understand important information. The adjustment of the level of detail of the voice guidance is performed based on, for example, the importance of the information and user settings. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information importance data to a generation AI, which can analyze the data and determine the level of detail of the voice guidance.

[0081] The voice guidance unit can apply different voice guidance algorithms depending on the category of information when providing voice guidance. For example, the voice guidance unit may provide voice guidance in a calendar format for information regarding schedules, making the information visually easy to understand. The voice guidance unit may also provide voice guidance in a list format for information regarding medication times, making it easy for the user to check. The voice guidance unit may also provide voice guidance in a notification format for information regarding doctor's appointments, making it easy for the user to remember. In this way, by applying different voice guidance algorithms depending on the category of information, the user can visually check the information. The application of the voice guidance algorithm is based on, for example, the guidance method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information category data into a generation AI, which analyzes the data and applies an appropriate voice guidance algorithm.

[0082] The voice guidance unit can estimate the user's emotions and adjust the length of the voice guidance based on the estimated user's emotions. For example, if the user is feeling stressed, the voice guidance unit can provide short, to-the-point voice guidance. Furthermore, if the user is relaxed, the voice guidance unit can provide longer voice guidance including detailed information. Furthermore, if the user is in a hurry, the voice guidance unit can provide concise voice guidance for quick understanding. This allows the user to quickly understand information by adjusting the length of the voice guidance according to the user's emotions. The emotion estimation is realized using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the voice guidance unit can be performed using, for example, AI, or without AI. For example, the voice guidance unit can input the user's emotion data into the generation AI, which can analyze the data and determine the length of the voice guidance.

[0083] The voice guidance unit can determine the priority of voice guidance based on the time when information was submitted when providing voice guidance. For example, the voice guidance unit can prioritize upcoming schedules so that the user can check them immediately. The voice guidance unit can also simplify past information when providing voice guidance, thereby reducing the burden on the user. Furthermore, the voice guidance unit can also provide voice guidance in the form of reminders for future schedules so that the user does not forget. In this way, by determining the priority of voice guidance based on the time when information was submitted, the user can prioritize checking the most recent information. The priority of voice guidance is determined based on, for example, the time when information was submitted and its importance. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without AI. For example, the voice guidance unit can input information submission time data into a generation AI, which can analyze the data and determine the priority of voice guidance.

[0084] The voice guidance unit can adjust the order of voice guidance based on the relevance of information when providing voice guidance. For example, the voice guidance unit can prioritize highly relevant information to allow the user to quickly confirm it. The voice guidance unit can also simplify less relevant information when providing voice guidance, reducing the burden on the user. Furthermore, the voice guidance unit can group related information and provide voice guidance so that the user can understand it at a glance. This allows the user to efficiently confirm related information by adjusting the order of voice guidance based on the relevance of the information. The adjustment of the order of voice guidance is performed based on, for example, the relevance or importance of the information. Some or all of the above-mentioned processing in the voice guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the voice guidance unit can input information relevance data into a generation AI, which can analyze the data and determine the order of voice guidance.

[0085] The remote input unit can estimate the user's emotions and adjust the color and design of the remote input interface based on the estimated user emotions. For example, when the user is stressed, the remote input unit can provide an interface with calm colors to reduce visual stress. Furthermore, when the user is relaxed, the remote input unit can provide an interface with bright colors to make input work more enjoyable. Furthermore, when the user is tired, the remote input unit can provide a simple, highly visible interface to make input work easier. By adjusting the color and design of the remote input interface according to the user's emotions, the user's stress can be reduced and input work can be more enjoyable. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be, for example, a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples. Some or all of the above-described processing in the remote input unit may be performed using, for example, AI, or without AI. For example, the remote input unit can input the user's emotion data into the generation AI, which can analyze the data and determine the color and design of the remote input interface.

[0086] The remote input unit can adjust the level of detail of the input based on the importance of the information during remote input. For example, the remote input unit can input important information in detail so that the user can understand it immediately. The remote input unit can also simplify information of low importance and input it to reduce the burden on the user. Furthermore, the remote input unit can emphasize urgent information and input it to attract the user's attention. In this way, by adjusting the level of detail of the input based on the importance of the information, the user can quickly understand the important information. The adjustment of the level of detail of the input is performed, for example, based on the importance of the information, user settings, etc. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without using AI. For example, the remote input unit can input information importance data to a generation AI, which can analyze the data and determine the level of detail of the input.

[0087] The remote input unit can apply different input algorithms depending on the category of information when remotely inputting. For example, the remote input unit can input information about schedules in a calendar format to make it visually easy to understand. The remote input unit can also input information about medication times in a list format to make it easy for the user to check. Furthermore, the remote input unit can input information about doctor's appointments in a notification format to help the user remember. In this way, by applying different input algorithms depending on the category of information, the user can visually check the information in an easy-to-understand manner. The application of the input algorithm is based on, for example, the input method for each category and the algorithm selection criteria. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without using AI. For example, the remote input unit can input information category data to a generation AI, which analyzes the data and applies an appropriate input algorithm.

[0088] The remote input unit can estimate the user's emotions and prioritize remote inputs based on the estimated user emotions. For example, if the user is feeling stressed, the remote input unit can prompt the user to prioritize input of important information. The remote input unit can also provide an option to input detailed information if the user is relaxed. Furthermore, if the user is in a hurry, the remote input unit can provide a simplified interface for quick input. This allows important information to be prioritized by prioritizing remote inputs according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or a generation AI. The generation AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processing in the remote input unit can be performed using, for example, AI, or without AI. For example, the remote input unit can input the user's emotion data into the generation AI, which can then analyze the data and prioritize the remote inputs.

[0089] The remote input unit can determine the priority of input based on the time of information submission during remote input. For example, the remote input unit can prioritize input of upcoming schedules so that the user can check them immediately. The remote input unit can also simplify past information before input, reducing the burden on the user. Furthermore, the remote input unit can input future schedules in reminder format so that the user does not forget. In this way, by determining the priority of input based on the time of information submission, the user can prioritize checking the most recent information. The input priority is determined based on, for example, the time of information submission and the importance of the information. Some or all of the above-mentioned processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information submission time data to a generation AI, which can analyze the data and determine the priority of input.

[0090] The remote input unit can adjust the order of input based on the relevance of information during remote input. For example, the remote input unit can prioritize input of highly relevant information so that the user can quickly confirm it. The remote input unit can also simplify and input less relevant information, reducing the burden on the user. Furthermore, the remote input unit can group and input related information so that the user can understand it at a glance. This allows the user to efficiently confirm related information by adjusting the order of input based on the relevance of the information. The adjustment of the order of input is performed based on, for example, the relevance or importance of the information. Some or all of the above-described processing in the remote input unit may be performed using, for example, AI, or may be performed without AI. For example, the remote input unit can input information relevance data to a generation AI, which can analyze the data and determine the order of input. === Hard Collateral 1-1 === Each of the multiple elements including the input unit, display unit, voice guidance unit, and remote input unit described above is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the input unit can input information using a touch panel 38A or a microphone 38B of the smart device 14. The display unit visually displays information using a display 40A of the smart device 14. The voice guidance unit provides voice guidance using a speaker 40B of the smart device 14. The remote input unit can receive information via the Internet through the communication I / F 26 of the data processing device 12. Furthermore, the input unit with an emotion estimation function is realized by the specific processing unit 290 of the data processing device 12, and adjusts the color and design of the interface according to the user's emotion. === Hard Collateral 1-2 === Each of the multiple elements, including the above-mentioned input unit, display unit, audio guidance unit, and remote input unit, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the input unit can input information using the microphone 238 of the smart glasses 214. The display unit visually displays information using the display of the smart glasses 214. The audio guidance unit provides audio guidance of information using the speaker 240 of the smart glasses 214. The remote input unit can receive information via the Internet via the communication I / F 26 of the data processing device 12. Furthermore, the input unit with an emotion estimation function is realized by the specific processing unit 290 of the data processing device 12, and adjusts the color and design of the interface according to the user's emotion. === Hard Collateral 1-3 === Each of the multiple elements including the above-mentioned input unit, display unit, voice guidance unit, and remote input unit is realized, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the input unit can input information using the microphone 238 of the headset terminal 314. The display unit visually displays information using the display 343 of the headset terminal 314. The voice guidance unit provides voice guidance of information using the speaker 240 of the headset terminal 314. The remote input unit can receive information via the Internet through the communication I / F 26 of the data processing device 12. Furthermore, the input unit with an emotion estimation function is realized by the specific processing unit 290 of the data processing device 12, and adjusts the color and design of the interface according to the user's emotion. === Hard Collateral 1-4 === Each of the multiple elements including the above-mentioned input unit, display unit, voice guidance unit, and remote input unit is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the input unit can input information using the microphone 238 of the robot 414. The display unit visually displays information using the display of the robot 414. The voice guidance unit provides voice guidance of information using the speaker 240 of the robot 414. The remote input unit can receive information via the Internet through the communication I / F 26 of the data processing device 12. Furthermore, the input unit with an emotion estimation function is realized by the specific processing unit 290 of the data processing device 12, and adjusts the color and design of the interface according to the user's emotion.

[0091] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0092] The system can estimate the user's emotions and adjust the content of the voice guidance based on the estimated emotions. For example, if the user is feeling stressed, the voice guidance unit can prioritize important information while playing relaxing music in the background. If the user is relaxed, the voice guidance unit can provide guidance including detailed information so that the user can enjoy and understand the information. If the user is in a hurry, the voice guidance unit can provide quick and concise guidance so that the user can quickly obtain the information they need. In this way, adjusting the content of the voice guidance according to the user's emotions can reduce the user's stress and help them understand the information.

[0093] The system can monitor the user's health condition and adjust the display content based on the health condition. For example, if the user's heart rate is high, the display can display information in subdued colors and a simple design to reduce visual stress. If the user's health condition is good, the display can display information in bright colors and detailed information, allowing the user to enjoy the information. Furthermore, if the user is tired, the display can display information in highly visible colors and large fonts to allow the user to easily view the information. In this way, adjusting the display content according to the user's health condition can reduce stress and help the user understand the information.

[0094] The system can analyze a user's past behavioral history and adjust the display order of information based on the behavioral history. For example, it can prioritize displaying information that the user frequently checked in the past, allowing the user to quickly obtain the information they need. It can also simplify and display information that the user did not check frequently in the past, reducing the burden on the user. Furthermore, it can group and display highly relevant information based on the user's behavioral history, allowing the user to understand it at a glance. In this way, adjusting the display order of information based on the user's past behavioral history allows the user to efficiently check relevant information.

[0095] The system can acquire the user's geographical location information and adjust the display content based on the location information. For example, when the user is in a specific location, information related to that location can be displayed preferentially, allowing the user to quickly obtain the information they need. When the user is traveling, information related to the user's destination can be displayed preferentially, allowing the user to easily plan their next move. When the user is at home, information related to the user's home can be displayed preferentially, allowing the user to smoothly carry out their daily life. In this way, adjusting the display content based on the user's geographical location information allows the user to efficiently obtain the information they need.

[0096] The system can analyze a user's social media activity and adjust the display content based on the activity. For example, the system can display related appointments and events based on information shared by the user on social media, allowing the user to quickly obtain the information they need. The system can also display appointments based on events the user follows on social media, allowing the user to remember to attend. Furthermore, the system can extract and display important information from the user's social media activity, allowing the user to efficiently check the information they need. In this way, by adjusting the display content based on the user's social media activity, the user can efficiently obtain relevant information.

[0097] The system can estimate the user's emotions and adjust the audio feedback of the input interface based on the estimated emotions. For example, if the user is feeling stressed, the input unit can provide audio feedback in a calm tone to reduce the user's stress. Alternatively, if the user is relaxed, the input unit can provide audio feedback in a bright tone to make the input task more enjoyable. Furthermore, if the user is tired, the input unit can provide simple, highly visible audio feedback to make the input task easier. In this way, adjusting the audio feedback according to the user's emotions can reduce the user's stress and make the input task more enjoyable.

[0098] The system can estimate the user's emotions and adjust the animation effects of the displayed content based on the estimated emotions. For example, if the user is feeling stressed, the display unit can use a calming animation effect to reduce visual stress. If the user is relaxed, the display unit can use a fun animation effect to make the information display enjoyable. If the user is in a hurry, the display unit can use a quick animation effect to quickly display information. In this way, adjusting the animation effects according to the user's emotions can reduce the user's stress and help them understand the information.

[0099] The system can estimate the user's emotions and adjust the voice guidance of the remote input interface based on the estimated emotions. For example, if the user is feeling stressed, the remote input unit can provide voice guidance in a calming tone to reduce the user's stress. Alternatively, if the user is relaxed, the remote input unit can provide voice guidance in a bright tone to make the input task more enjoyable. Furthermore, if the user is tired, the remote input unit can provide simple, highly visible voice guidance to make the input task easier. In this way, adjusting the voice guidance according to the user's emotions can reduce the user's stress and make the input task more enjoyable.

[0100] The system can estimate the user's emotions and adjust the layout of the displayed content based on the estimated emotions. For example, if the user is feeling stressed, the display unit can use a simple, highly visible layout to reduce visual stress. If the user is feeling relaxed, the display unit can use a layout including detailed information to display information in an enjoyable manner. Furthermore, if the user is in a hurry, the display unit can use a simple layout to allow the user to quickly obtain information. In this way, adjusting the layout according to the user's emotions can reduce the user's stress and help them understand the information.

[0101] The system can estimate the user's emotions and adjust the guide message of the input interface based on the estimated emotions. For example, if the user is feeling stressed, the input unit can display an encouraging message to reduce the user's stress. If the user is relaxed, the input unit can display a cheerful message to make the input task more enjoyable. Furthermore, if the user is tired, the input unit can display a simple, highly visible message to make the input task easier. In this way, adjusting the guide message according to the user's emotions can reduce the user's stress and make the input task more enjoyable.

[0102] The processing flow of the second embodiment will be briefly explained below.

[0103] Step 1: The user inputs daily schedules and important information into the input unit. For example, the input unit can input information using a touch panel, a keyboard, or voice input. Step 2: The display unit visually displays the information input by the input unit. For example, the display unit can display information using a liquid crystal display, an LED display, or electronic paper. Step 3: The audio guidance unit provides audio guidance of the information displayed on the display unit. For example, the audio guidance unit can provide audio guidance of the information using a speaker, headphones, or earphones. Step 4: The remote input unit allows the patient's family or caregivers to enter and update information remotely. For example, the remote input unit can receive information via the internet, Bluetooth, or Wi-Fi.

[0104] 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.

[0105] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of the generative AI include a neural network (NN) and a neural network (NN). The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image (e.g., still image data or video data). 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 one or more data formats of voice data, text data, image data, etc. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0106] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0107] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0108] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0109] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0110] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0111] 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.

[0112] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0113] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0118] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0119] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0120] 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.

[0121] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0122] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0123] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0124] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0125] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0126] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0127] 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.

[0128] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0129] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0134] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0135] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0136] 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.

[0137] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0138] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0139] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0140] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0141] 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.

[0142] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0143] 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.

[0144] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0145] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0146] 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.

[0147] The control object 443 includes a display device, LEDs in the eyes, and motors that drive 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.

[0148] 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.

[0149] 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.

[0150] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0151] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0152] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0153] 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.

[0154] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0155] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0156] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0157] 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.

[0158] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0159] 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.

[0160] 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).

[0161] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0162] 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."

[0163] 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.

[0164] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0169] The hardware resource that executes the specific process 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 process may be a single processor.

[0170] 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.

[0171] 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.

[0172] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0173] 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.

[0174] 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.

[0175] [Explanation of symbols]

[0176] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. an input section for a user to input daily schedules and important information; a display unit that visually displays the information input by the input unit; a voice guidance unit that provides voice guidance of the information displayed on the display unit; Equipped with a remote input unit that allows the patient's family and caregivers to input and update information remotely A system characterized by:

2. The input unit Entering information using the touch panel 2. The system of claim 1.

3. The display unit Displaying information using the LCD display 2. The system of claim 1.

4. The voice guidance unit Use the speaker to provide spoken information 2. The system of claim 1.

5. The remote input unit receive information via the Internet 2. The system of claim 1.

6. The display unit When the scheduled time approaches, an alarm will sound and the schedule will be displayed on the screen.

2. The system of claim 1.

7. The display unit Displaying important information 2. The system of claim 1.

8. The input unit Estimate the user's emotions and adjust the color and design of the input interface based on the estimated user emotions.

2. The system of claim 1.

Images