System

Abstract

An object of a system according to an embodiment is to efficiently record and read health management information of a pet.SOLUTION: A system includes a health management information recording part and an information reading part. The health management information recording part records health management information of the pet. The information reading unit reads the health management information recorded by the health management information recording unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional techniques have had the problem of making it difficult to efficiently record and read pet health management information.

[0005] The system according to the embodiment aims to efficiently record and read health management information of pets. [Means for solving the problem]

[0006] The system according to the embodiment includes a health management information recording unit and an information reading unit. The health management information recording unit records the health management information of the pet. The information reading unit reads the health management information recorded by the health management information recording unit. [Effects of the Invention]

[0007] The system according to the embodiment can efficiently record and read pet health management information. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[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 health management system according to an embodiment of the present invention is a system that records health management information for pets and allows owners to read the information. This allows the health management system to record health management information for pets and allows owners to read the information daily to manage their health.

[0029] A health management system according to an embodiment includes a health management information recording unit and an information reading unit. The health management information recording unit records the health management information of a pet. For example, the health management information recording unit measures the pet's body temperature and pulse rate in real time using a microchip equipped with a body temperature sensor and a pulse rate sensor, and records the data. The health management information recording unit can also record blood test results and exercise volume measured by a veterinarian periodically. For example, the health management information recording unit records blood test results as digital data and measures and records exercise volume using an acceleration sensor. The information reading unit reads the health management information recorded by the health management information recording unit. For example, the information reading unit can easily obtain data such as body temperature, pulse rate, and exercise volume by installing a dedicated app on a smartphone and holding it over the pet's microchip. The information reading unit can also read the health management information using a dedicated reader terminal. For example, the information reading unit can obtain data from the microchip using an RFID reader and display the data using the dedicated app. This allows the health management system to record pet health management information and allow owners to read that information. For example, owners can check their pet's health status through a smartphone app and take early action if there is an abnormality. In addition, by strengthening cooperation with veterinarians, it becomes possible to receive more specialized diagnosis and treatment.

[0030] The health management information recording unit can measure a pet's stress level and record the data. The health management information recording unit, for example, uses a sensor built into the microchip to measure the pet's electrodermal activity and evaluate the stress level. For example, it detects changes in the skin's electrical resistance and quantifies the degree of stress. The health management information recording unit can also analyze heart rate and behavioral patterns to evaluate the stress level. For example, it can evaluate the stress level based on fluctuations in heart rate and changes in behavior. By measuring a pet's stress level and recording the data, owners can understand their pet's stress state and take appropriate measures.

[0031] The health management information recording unit can automatically record the amount of food intake of a pet and evaluate its nutritional balance. For example, a sensor built into a microchip measures the amount of food intake of a pet and records the data. For example, the weight of the food is measured and the calorie intake is calculated. The health management information recording unit can also evaluate the type of food and the balance of nutrients. For example, the composition of the food is analyzed and the amount of vitamins and minerals consumed is evaluated. In this way, by automatically recording the amount of food intake of a pet and evaluating its nutritional balance, owners can properly manage their pet's diet.

[0032] The health management information recording unit can record a pet's sleep patterns and evaluate the quality of sleep. The health management information recording unit, for example, uses a sensor built into the microchip to detect the pet's movements and record the sleep patterns. For example, it records periods of little movement as sleep time. The health management information recording unit can also analyze heart rate and breathing patterns to evaluate sleep quality. For example, it analyzes heart rate fluctuations and breathing rhythms to evaluate the depth of sleep. By recording a pet's sleep patterns and evaluating sleep quality, owners can understand their pet's sleep state and take appropriate measures.

[0033] The health management information recording unit monitors the skin condition of a pet, which can be useful for early detection of allergic reactions or skin diseases. The health management information recording unit monitors the skin condition by, for example, measuring the humidity and temperature of the pet's skin using a sensor built into the microchip. For example, it detects abnormalities in humidity and temperature and records signs of an allergic reaction. The health management information recording unit can also capture the color and condition of the skin with a camera and detect signs of skin disease using image analysis technology. For example, it can analyze redness and swelling of the skin to help with early detection of skin diseases. This allows monitoring the skin condition of a pet and helps with early detection of allergic reactions and skin diseases, allowing owners to take appropriate measures.

[0034] The health management information recording unit records the social behavior of a pet and can be used to evaluate its sociability. The health management information recording unit, for example, uses a sensor built into the microchip to record the pet's contact time with other pets and people and evaluates its social behavior. For example, it records the length and frequency of contact time. The health management information recording unit can also analyze the pet's behavioral patterns and use this information to evaluate its sociability. For example, it analyzes the pet's movements and behavior and evaluates its cooperation and aggression with other pets. In this way, by recording the pet's social behavior and using this information to evaluate its sociability, owners can understand their pet's sociability and take appropriate measures.

[0035] The information reading unit has a function to read out the pet's health data aloud, making it possible to accommodate owners with visual impairments. The information reading unit, for example, has a function to read out the pet's health data aloud, making it possible to accommodate owners with visual impairments. For example, it may notify body temperature and pulse data aloud. The information reading unit can also use voice synthesis technology to read out the health data in a natural voice. For example, it may notify the health data aloud using text-to-speech software. This makes it possible to manage the health of pets by accommodating owners with visual impairments.

[0036] The information reading unit can visualize the pet's health data in graphs or charts to make it easier to understand intuitively. The information reading unit, for example, visualizes the pet's health data in graphs or charts to make it easier to understand intuitively. For example, fluctuations in body temperature and pulse rate can be displayed in a line graph. The information reading unit can also display the health data in bar graphs or pie charts. For example, the amount of exercise and food intake can be displayed in a bar graph, and nutritional balance can be displayed in a pie chart. This makes the pet's health data easier to understand intuitively, making it easier for owners to understand the health condition of their pet.

[0037] The information reading unit can automatically back up pet health data to the cloud, preventing data loss. The information reading unit, for example, has a function to automatically back up pet health data to the cloud, preventing data loss. For example, it uploads data to the cloud at a set time every day. The information reading unit can also safely back up data to the cloud using data encryption technology. For example, it encrypts the data and stores it in a cloud storage service. This prevents the loss of pet health data, allowing owners to manage their data with peace of mind.

[0038] The information reading unit can link pet health data with other smart devices. For example, the information reading unit can link pet health data with a smartwatch, allowing owners to check the data at their fingertips. For example, the smartwatch app can display body temperature and pulse rate. The information reading unit can also link with a fitness tracker to record the pet's exercise volume. For example, the fitness tracker data can be synchronized with a smartphone app. By linking pet health data with other smart devices, owners can more conveniently manage their pet's health.

[0039] The information reading unit has a function that allows the entire family to share the pet's health data, allowing the entire family to manage the pet's health together. The information reading unit, for example, has a function that allows the entire family to share the pet's health data, allowing the entire family to manage the pet's health together. For example, it provides an app that the entire family can access. The information reading unit can also share data using a cloud service. For example, it can store data in cloud storage so that the entire family can access it. This allows the entire family to manage the pet's health together, allowing the pet's health to be managed more effectively.

[0040] The information reading unit can predict future health risks based on the pet's health data and suggest preventive measures. For example, the information reading unit uses a generative AI to analyze the pet's health data and predict future health risks. For example, it calculates the risk of developing a disease based on past data and suggests preventive measures. The information reading unit can also provide specific preventive measures based on the predicted health risks. For example, it can recommend regular checkups, dietary improvements, and exercise. This allows the system to predict future health risks and suggest preventive measures, helping to maintain the pet's health and aid in the early detection and prevention of diseases.

[0041] The information reading unit can compare the pet's health data with data from other pets and provide a benchmark. For example, the generating AI can compare the pet's health data with data from other pets and provide a benchmark. For example, the health condition can be evaluated by comparing with pets of the same age and weight. The information reading unit can also evaluate the pet's health condition based on the benchmark results. For example, the pet's health condition can be evaluated by comparing with the average value or calculating the standard deviation. In this way, by comparing with data from other pets and providing a benchmark, owners can objectively evaluate their pet's health condition.

[0042] The information reading unit can propose an optimal exercise plan based on the pet's health data. For example, the information reading unit uses a generation AI to analyze the pet's health data and propose an optimal exercise plan. For example, it calculates the amount of exercise based on the pet's weight and age and provides a specific exercise menu. The information reading unit can also customize the exercise plan based on the pet's health condition. For example, it suggests exercise intensity and frequency based on the pet's physical strength and health condition. In this way, by proposing an optimal exercise plan based on the pet's health data, it is possible to maintain the pet's health and prevent lack of exercise.

[0043] The information reading unit can propose an optimal meal plan based on the pet's health data. For example, the information reading unit uses a generating AI to analyze the pet's health data and propose an optimal meal plan. For example, it calculates the calorie intake based on the pet's weight and age and provides a specific meal menu. The information reading unit can also evaluate the pet's nutritional balance and customize the meal plan. For example, it evaluates the intake of vitamins and minerals and proposes meals containing the necessary nutrients. In this way, by proposing an optimal meal plan based on the pet's health data, it is possible to maintain the pet's health and achieve a balanced nutritional profile.

[0044] The information reading unit can provide seasonal health management advice based on the pet's health data. For example, the information reading unit uses a generation AI to analyze the pet's health data and provide seasonal health management advice. For example, it can suggest measures to prevent heatstroke in the summer and measures to protect against the cold in the winter. The information reading unit can also evaluate seasonal health risks and suggest specific measures. For example, it can suggest measures to prevent seasonal allergies and infectious diseases. In this way, by providing seasonal health management advice based on the pet's health data, it is possible to maintain the pet's health and reduce seasonal health risks.

[0045] The information reading unit can provide a system that allows veterinarians to monitor pet health data in real time and respond quickly in emergencies based on the pet's health data. The information reading unit, for example, provides a system that allows veterinarians to monitor pet health data in real time and respond quickly in emergencies. For example, an alert is sent to the veterinarian if an abnormality is detected. The information reading unit can also provide data to veterinarians in real time using data streaming technology. For example, sensor technology can be used to collect pet health data in real time and immediately notify the veterinarian. This allows veterinarians to monitor in real time and respond quickly in emergencies, thereby protecting the health of pets.

[0046] The information reading unit can provide a system that allows veterinarians to perform remote diagnoses based on pet health data. The information reading unit provides a system that allows veterinarians to perform remote diagnoses based on pet health data. For example, data can be shared and diagnoses can be performed through a dedicated app or web portal. The information reading unit can also allow veterinarians to perform remote diagnoses using video calls or remote monitoring technology. For example, pet health data can be shared in real time, allowing veterinarians to perform remote diagnoses. By providing a system that allows veterinarians to perform remote diagnoses, owners can receive prompt, professional diagnoses.

[0047] The information reading unit can automatically manage vaccination and regular checkup schedules based on the pet's health data. The information reading unit, for example, provides a system in which a veterinarian automatically manages vaccination and regular checkup schedules based on the pet's health data. For example, the information reading unit automatically notifies the pet of the next vaccination or checkup date. The information reading unit can also manage schedules using a calendar app or reminder function. For example, the information reading unit can register vaccination and regular checkup schedules in a calendar and notify the pet with a reminder. In this way, automatic management of vaccination and regular checkup schedules allows pet owners to efficiently manage their pet's health.

[0048] The information reading unit can create an individual health management plan based on the pet's health data. For example, a veterinarian can create an individual health management plan based on the pet's health data. For example, the information reading unit can provide a diet and exercise plan based on the pet's weight and age. The information reading unit can also customize the health management plan based on the pet's health condition. For example, the information reading unit can create an individual health management plan taking into account the pet's medical history and current health condition. By creating an individual health management plan, the pet's health can be maintained and appropriate care can be provided.

[0049] The information reading unit can hold webinars to provide health management advice to pet owners based on the pet's health data. The information reading unit, for example, holds webinars in which veterinarians provide health management advice to pet owners based on the pet's health data. For example, online seminars can be held periodically to explain key points of health management. The information reading unit can also record the content of the webinar so that it can be viewed later. For example, the recording of the webinar can be saved in the cloud so that pet owners can view it at any time. In this way, by holding webinars to provide health management advice to pet owners, pet owners can deepen their knowledge of pet health management.

[0050] The information reading unit can automatically remind pet owners of daily health management tasks based on their pet's health data. For example, the information reading unit uses a generation AI to automatically remind pet owners of daily health management tasks based on their pet's health data. For example, it can notify pet owners of daily meal and exercise times. The information reading unit can also use a reminder function to periodically notify pet owners of health management tasks. For example, it can notify pet owners of medication times and scheduled regular checkups. By automatically reminding pet owners of daily health management tasks, pet owners can efficiently manage their pet's health.

[0051] The information reading unit can evaluate the progress of health management based on the pet's health data and provide feedback on the degree of achievement. For example, the information reading unit uses a generating AI to evaluate the progress of health management based on the pet's health data and provide feedback on the degree of achievement. For example, it evaluates the degree of achievement of a target weight and provides feedback. The information reading unit can also evaluate the progress of health management using a scoring system or a feedback report. For example, it can periodically evaluate the progress of health management and notify the degree of achievement in a report. In this way, by evaluating the progress of health management and providing feedback on the degree of achievement, the owner can check the effectiveness of their pet's health management and make any necessary adjustments.

[0052] The information reading unit can provide a customized training program for health management based on the pet's health data. For example, the information reading unit provides a customized training program for health management based on the pet's health data using a generation AI. For example, it provides an exercise menu based on the pet's weight and age. The information reading unit can also customize the training program based on the pet's health condition. For example, it can suggest exercise intensity and frequency based on the pet's physical strength and health condition. In this way, by providing a customized training program for health management, it is possible to maintain the pet's health and prevent lack of exercise.

[0053] The information reading unit can provide a customized meal plan for health management based on the pet's health data. For example, the information reading unit uses a generating AI to provide a customized meal plan for health management based on the pet's health data. For example, the information reading unit can calculate the calorie intake based on the pet's weight and age and provide a specific meal menu. The information reading unit can also evaluate the pet's nutritional balance and customize the meal plan. For example, it can evaluate the intake of vitamins and minerals and suggest a diet containing the necessary nutrients. In this way, by providing a customized meal plan for health management, it is possible to maintain the pet's health and achieve a balanced nutritional profile.

[0054] The information reading unit can provide a customized relaxation plan for health management based on the pet's health data. For example, the information reading unit uses a generating AI to provide a customized relaxation plan for health management based on the pet's health data. For example, the information reading unit can suggest relaxation methods according to the pet's stress level. The information reading unit can also customize the relaxation plan based on the pet's health condition. For example, the information reading unit can analyze the pet's behavior and emotional state and suggest optimal relaxation methods. In this way, by providing a customized relaxation plan for health management, it is possible to reduce the pet's stress and maintain its health.

[0055] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0056] The health management information recording unit can record changes in a pet's weight and support weight management. For example, a pet bed with a built-in scale can be used to measure the pet's weight every time it gets on the bed and record the data. The health management information recording unit can also display weight changes in a graph, allowing owners to intuitively manage their pet's weight. Furthermore, if there is a sudden increase or decrease in weight, an alert can be sent to alert the owner. This can support weight management and help maintain the pet's health.

[0057] The health management information recording unit can record a pet's water intake and help prevent dehydration. For example, a sensor can be attached to an automatic pet water dispenser to measure water intake and record the data. The health management information recording unit can also display fluctuations in water intake in a graph, making it easier for owners to understand their pet's water intake. Furthermore, if the water intake falls below a certain level, an alert can be sent to warn the owner. This can help prevent dehydration and maintain the pet's health.

[0058] The health management information recording unit can analyze a pet's exercise pattern and evaluate the risk of insufficient or excessive exercise. For example, an acceleration sensor built into a pet wearable device can be used to record the pet's exercise amount and exercise pattern. The health management information recording unit can also analyze the exercise data and evaluate the risk of insufficient or excessive exercise. Furthermore, if the amount of exercise is inappropriate, an alert can be sent to warn the owner. This allows the pet's exercise pattern to be analyzed and the pet to maintain an appropriate amount of exercise, which can be useful for maintaining health.

[0059] The health management information recording unit can monitor the pet's sleeping environment and provide a comfortable sleeping environment. For example, the sleeping environment can be monitored using a temperature sensor and humidity sensor built into the pet bed. The health management information recording unit can also analyze the sleeping environment data and provide advice on maintaining optimal temperature and humidity. Furthermore, if the sleeping environment is not appropriate, it can send an alert to alert the owner. In this way, monitoring the pet's sleeping environment and providing a comfortable sleeping environment can help maintain the pet's health.

[0060] The health management information recording unit can record a pet's allergic reactions and use the data to identify allergens. For example, it records allergic reactions caused by changes in a pet's diet or environment and analyzes the data. The health management information recording unit can also analyze allergic reaction patterns and identify specific allergens. Furthermore, if an allergic reaction occurs, it can send an alert to alert the owner. This allows the system to record a pet's allergic reactions and use the data to identify allergens, helping to maintain the pet's health.

[0061] The processing flow of the first embodiment will be briefly explained below.

[0062] Step 1: The health management information recording unit records the pet's health management information. For example, a microchip equipped with a body temperature sensor and pulse sensor can be used to measure the pet's body temperature and pulse in real time and record the data. It can also record blood data and exercise volume measured by a veterinarian on a regular basis. For example, blood test results can be recorded as digital data, and exercise volume can be measured and recorded using an acceleration sensor. Step 2: The information reading unit reads the health management information recorded by the health management information recording unit. For example, by installing a dedicated app on a smartphone and holding it over the pet's microchip, data such as body temperature, pulse rate, and amount of exercise can be easily obtained. Alternatively, a dedicated reader terminal can be used to obtain data from the microchip using an RFID reader and display it on the dedicated app.

[0063] (Example 2) A health management system according to an embodiment of the present invention is a system that records health management information for pets and allows owners to read the information. This allows the health management system to record health management information for pets and allows owners to read the information daily to manage their health.

[0064] A health management system according to an embodiment includes a health management information recording unit and an information reading unit. The health management information recording unit records the health management information of a pet. For example, the health management information recording unit measures the pet's body temperature and pulse rate in real time using a microchip equipped with a body temperature sensor and a pulse rate sensor, and records the data. The health management information recording unit can also record blood test results and exercise volume measured by a veterinarian periodically. For example, the health management information recording unit records blood test results as digital data and measures and records exercise volume using an acceleration sensor. The information reading unit reads the health management information recorded by the health management information recording unit. For example, the information reading unit can easily obtain data such as body temperature, pulse rate, and exercise volume by installing a dedicated app on a smartphone and holding it over the pet's microchip. The information reading unit can also read the health management information using a dedicated reader terminal. For example, the information reading unit can obtain data from the microchip using an RFID reader and display the data using the dedicated app. This allows the health management system to record pet health management information and allow owners to read that information. For example, owners can check their pet's health status through a smartphone app and take early action if there is an abnormality. In addition, by strengthening cooperation with veterinarians, it becomes possible to receive more specialized diagnosis and treatment.

[0065] The health management information recording unit can measure a pet's stress level and record the data. The health management information recording unit, for example, uses a sensor built into the microchip to measure the pet's electrodermal activity and evaluate the stress level. For example, it detects changes in the skin's electrical resistance and quantifies the degree of stress. The health management information recording unit can also analyze heart rate and behavioral patterns to evaluate the stress level. For example, it can evaluate the stress level based on fluctuations in heart rate and changes in behavior. By measuring a pet's stress level and recording the data, owners can understand their pet's stress state and take appropriate measures.

[0066] The health management information recording unit can automatically record the amount of food intake of a pet and evaluate its nutritional balance. For example, a sensor built into a microchip measures the amount of food intake of a pet and records the data. For example, the weight of the food is measured and the calorie intake is calculated. The health management information recording unit can also evaluate the type of food and the balance of nutrients. For example, the composition of the food is analyzed and the amount of vitamins and minerals consumed is evaluated. In this way, by automatically recording the amount of food intake of a pet and evaluating its nutritional balance, owners can properly manage their pet's diet.

[0067] The health management information recording unit can estimate the emotional state of a pet using an emotion estimation function and record the data. The health management information recording unit, for example, uses a sensor built into the microchip to analyze the pet's heart rate fluctuations and breathing patterns to estimate the emotional state. For example, the health management information recording unit can analyze heart rate fluctuations and breathing rhythms to detect changes in emotions. The health management information recording unit can also estimate the emotional state using behavioral analysis and facial expression analysis. For example, the pet's movements and facial expressions can be captured with a camera and analyzed using an emotion estimation algorithm. By estimating the pet's emotional state and recording the data, the owner can understand the pet's emotional state and take appropriate action.

[0068] The health management information recording unit can record a pet's sleep patterns and evaluate the quality of sleep. The health management information recording unit, for example, uses a sensor built into the microchip to detect the pet's movements and record the sleep patterns. For example, it records periods of little movement as sleep time. The health management information recording unit can also analyze heart rate and breathing patterns to evaluate sleep quality. For example, it analyzes heart rate fluctuations and breathing rhythms to evaluate the depth of sleep. By recording a pet's sleep patterns and evaluating sleep quality, owners can understand their pet's sleep state and take appropriate measures.

[0069] The health management information recording unit monitors the skin condition of a pet, which can be useful for early detection of allergic reactions or skin diseases. The health management information recording unit monitors the skin condition by, for example, measuring the humidity and temperature of the pet's skin using a sensor built into the microchip. For example, it detects abnormalities in humidity and temperature and records signs of an allergic reaction. The health management information recording unit can also capture the color and condition of the skin with a camera and detect signs of skin disease using image analysis technology. For example, it can analyze redness and swelling of the skin to help with early detection of skin diseases. This allows monitoring the skin condition of a pet and helps with early detection of allergic reactions and skin diseases, allowing owners to take appropriate measures.

[0070] The health management information recording unit records the social behavior of a pet and can be used to evaluate its sociability. The health management information recording unit, for example, uses a sensor built into the microchip to record the pet's contact time with other pets and people and evaluates its social behavior. For example, it records the length and frequency of contact time. The health management information recording unit can also analyze the pet's behavioral patterns and use this information to evaluate its sociability. For example, it analyzes the pet's movements and behavior and evaluates its cooperation and aggression with other pets. In this way, by recording the pet's social behavior and using this information to evaluate its sociability, owners can understand their pet's sociability and take appropriate measures.

[0071] The information reading unit has a function to read out the pet's health data aloud, making it possible to accommodate owners with visual impairments. The information reading unit, for example, has a function to read out the pet's health data aloud, making it possible to accommodate owners with visual impairments. For example, it may notify body temperature and pulse data aloud. The information reading unit can also use voice synthesis technology to read out the health data in a natural voice. For example, it may notify the health data aloud using text-to-speech software. This makes it possible to manage the health of pets by accommodating owners with visual impairments.

[0072] The information reading unit can visualize the pet's health data in graphs or charts to make it easier to understand intuitively. The information reading unit, for example, visualizes the pet's health data in graphs or charts to make it easier to understand intuitively. For example, fluctuations in body temperature and pulse rate can be displayed in a line graph. The information reading unit can also display the health data in bar graphs or pie charts. For example, the amount of exercise and food intake can be displayed in a bar graph, and nutritional balance can be displayed in a pie chart. This makes the pet's health data easier to understand intuitively, making it easier for owners to understand the health condition of their pet.

[0073] The information reading unit can provide health care advice according to the owner's emotional state. The information reading unit, for example, uses an emotion estimation function to analyze the owner's emotional state and provides health care advice based on the results. For example, if the owner is feeling stressed, the information reading unit can suggest relaxation methods. The information reading unit can also provide advice on pet health care according to the owner's emotional state. For example, if the owner is tired, the information reading unit can suggest reducing the amount of exercise the pet gets. In this way, by providing health care advice according to the owner's emotional state, pet health care can be more effectively managed.

[0074] The information reading unit can automatically back up pet health data to the cloud, preventing data loss. The information reading unit, for example, has a function to automatically back up pet health data to the cloud, preventing data loss. For example, it uploads data to the cloud at a set time every day. The information reading unit can also safely back up data to the cloud using data encryption technology. For example, it encrypts the data and stores it in a cloud storage service. This prevents the loss of pet health data, allowing owners to manage their data with peace of mind.

[0075] The information reading unit can link pet health data with other smart devices. For example, the information reading unit can link pet health data with a smartwatch, allowing owners to check the data at their fingertips. For example, the smartwatch app can display body temperature and pulse rate. The information reading unit can also link with a fitness tracker to record the pet's exercise volume. For example, the fitness tracker data can be synchronized with a smartphone app. By linking pet health data with other smart devices, owners can more conveniently manage their pet's health.

[0076] The information reading unit has a function that allows the entire family to share the pet's health data, allowing the entire family to manage the pet's health together. The information reading unit, for example, has a function that allows the entire family to share the pet's health data, allowing the entire family to manage the pet's health together. For example, it provides an app that the entire family can access. The information reading unit can also share data using a cloud service. For example, it can store data in cloud storage so that the entire family can access it. This allows the entire family to manage the pet's health together, allowing the pet's health to be managed more effectively.

[0077] The information reading unit can predict future health risks based on the pet's health data and suggest preventive measures. For example, the information reading unit uses a generative AI to analyze the pet's health data and predict future health risks. For example, it calculates the risk of developing a disease based on past data and suggests preventive measures. The information reading unit can also provide specific preventive measures based on the predicted health risks. For example, it can recommend regular checkups, dietary improvements, and exercise. This allows the system to predict future health risks and suggest preventive measures, helping to maintain the pet's health and aid in the early detection and prevention of diseases.

[0078] The information reading unit can compare the pet's health data with data from other pets and provide a benchmark. For example, the generating AI can compare the pet's health data with data from other pets and provide a benchmark. For example, the health condition can be evaluated by comparing with pets of the same age and weight. The information reading unit can also evaluate the pet's health condition based on the benchmark results. For example, the pet's health condition can be evaluated by comparing with the average value or calculating the standard deviation. In this way, by comparing with data from other pets and providing a benchmark, owners can objectively evaluate their pet's health condition.

[0079] The information reading unit can analyze the emotional state of a pet and provide advice for stress reduction. For example, the information reading unit uses a generation AI to analyze the emotional state of a pet and provide advice for stress reduction. For example, if a pet is feeling stressed, it can suggest relaxation methods. The information reading unit can also use an emotion estimation function to analyze the emotional state of a pet and provide specific advice for stress reduction. For example, it can suggest relaxation methods, environmental improvements, play recommendations, etc. In this way, by analyzing the emotional state of a pet and providing advice for stress reduction, it is possible to reduce stress in the pet and maintain its health.

[0080] The information reading unit can propose an optimal exercise plan based on the pet's health data. For example, the information reading unit uses a generation AI to analyze the pet's health data and propose an optimal exercise plan. For example, it calculates the amount of exercise based on the pet's weight and age and provides a specific exercise menu. The information reading unit can also customize the exercise plan based on the pet's health condition. For example, it suggests exercise intensity and frequency based on the pet's physical strength and health condition. In this way, by proposing an optimal exercise plan based on the pet's health data, it is possible to maintain the pet's health and prevent lack of exercise.

[0081] The information reading unit can propose an optimal meal plan based on the pet's health data. For example, the information reading unit uses a generating AI to analyze the pet's health data and propose an optimal meal plan. For example, it calculates the calorie intake based on the pet's weight and age and provides a specific meal menu. The information reading unit can also evaluate the pet's nutritional balance and customize the meal plan. For example, it evaluates the intake of vitamins and minerals and proposes meals containing the necessary nutrients. In this way, by proposing an optimal meal plan based on the pet's health data, it is possible to maintain the pet's health and achieve a balanced nutritional profile.

[0082] The information reading unit can provide seasonal health management advice based on the pet's health data. For example, the information reading unit uses a generation AI to analyze the pet's health data and provide seasonal health management advice. For example, it can suggest measures to prevent heatstroke in the summer and measures to protect against the cold in the winter. The information reading unit can also evaluate seasonal health risks and suggest specific measures. For example, it can suggest measures to prevent seasonal allergies and infectious diseases. In this way, by providing seasonal health management advice based on the pet's health data, it is possible to maintain the pet's health and reduce seasonal health risks.

[0083] The information reading unit can provide a system that allows veterinarians to monitor pet health data in real time and respond quickly in emergencies based on the pet's health data. The information reading unit, for example, provides a system that allows veterinarians to monitor pet health data in real time and respond quickly in emergencies. For example, an alert is sent to the veterinarian if an abnormality is detected. The information reading unit can also provide data to veterinarians in real time using data streaming technology. For example, sensor technology can be used to collect pet health data in real time and immediately notify the veterinarian. This allows veterinarians to monitor in real time and respond quickly in emergencies, thereby protecting the health of pets.

[0084] The information reading unit can provide a system that allows veterinarians to perform remote diagnoses based on pet health data. The information reading unit provides a system that allows veterinarians to perform remote diagnoses based on pet health data. For example, data can be shared and diagnoses can be performed through a dedicated app or web portal. The information reading unit can also allow veterinarians to perform remote diagnoses using video calls or remote monitoring technology. For example, pet health data can be shared in real time, allowing veterinarians to perform remote diagnoses. By providing a system that allows veterinarians to perform remote diagnoses, owners can receive prompt, professional diagnoses.

[0085] The information reading unit can share the pet's emotional state with a veterinarian to use as a reference for diagnosis or treatment. The information reading unit can, for example, use an emotion estimation function to share the pet's emotional state with a veterinarian to use as a reference for diagnosis or treatment. For example, if the pet is feeling stressed, the information reading unit can notify the veterinarian of this. The information reading unit can also share the pet's emotional state with the veterinarian in real time. For example, the information reading unit can analyze the pet's behavior and facial expressions and notify the veterinarian of the emotional state. In this way, the pet's emotional state can be shared with the veterinarian to use as a reference for diagnosis and treatment, allowing for more appropriate treatment.

[0086] The information reading unit can automatically manage vaccination and regular checkup schedules based on the pet's health data. The information reading unit, for example, provides a system in which a veterinarian automatically manages vaccination and regular checkup schedules based on the pet's health data. For example, the information reading unit automatically notifies the pet of the next vaccination or checkup date. The information reading unit can also manage schedules using a calendar app or reminder function. For example, the information reading unit can register vaccination and regular checkup schedules in a calendar and notify the pet with a reminder. In this way, automatic management of vaccination and regular checkup schedules allows pet owners to efficiently manage their pet's health.

[0087] The information reading unit can create an individual health management plan based on the pet's health data. For example, a veterinarian can create an individual health management plan based on the pet's health data. For example, the information reading unit can provide a diet and exercise plan based on the pet's weight and age. The information reading unit can also customize the health management plan based on the pet's health condition. For example, the information reading unit can create an individual health management plan taking into account the pet's medical history and current health condition. By creating an individual health management plan, the pet's health can be maintained and appropriate care can be provided.

[0088] The information reading unit can hold webinars to provide health management advice to pet owners based on the pet's health data. The information reading unit, for example, holds webinars in which veterinarians provide health management advice to pet owners based on the pet's health data. For example, online seminars can be held periodically to explain key points of health management. The information reading unit can also record the content of the webinar so that it can be viewed later. For example, the recording of the webinar can be saved in the cloud so that pet owners can view it at any time. In this way, by holding webinars to provide health management advice to pet owners, pet owners can deepen their knowledge of pet health management.

[0089] The information reading unit can automatically remind pet owners of daily health management tasks based on their pet's health data. For example, the information reading unit uses a generation AI to automatically remind pet owners of daily health management tasks based on their pet's health data. For example, it can notify pet owners of daily meal and exercise times. The information reading unit can also use a reminder function to periodically notify pet owners of health management tasks. For example, it can notify pet owners of medication times and scheduled regular checkups. By automatically reminding pet owners of daily health management tasks, pet owners can efficiently manage their pet's health.

[0090] The information reading unit can evaluate the progress of health management based on the pet's health data and provide feedback on the degree of achievement. For example, the information reading unit uses a generating AI to evaluate the progress of health management based on the pet's health data and provide feedback on the degree of achievement. For example, it evaluates the degree of achievement of a target weight and provides feedback. The information reading unit can also evaluate the progress of health management using a scoring system or a feedback report. For example, it can periodically evaluate the progress of health management and notify the degree of achievement in a report. In this way, by evaluating the progress of health management and providing feedback on the degree of achievement, the owner can check the effectiveness of their pet's health management and make any necessary adjustments.

[0091] The information reading unit can adjust the priority of health management tasks according to the emotional state of the owner. The information reading unit, for example, uses an emotion estimation function to analyze the emotional state of the owner and adjusts the priority of health management tasks based on the results. For example, if the owner is feeling stressed, the information reading unit can prioritize suggestions for relaxation methods. The information reading unit can also adjust the urgency and importance of health management tasks according to the emotional state of the owner. For example, if the owner is tired, the information reading unit can suggest reducing the amount of exercise the pet gets. In this way, by adjusting the priority of health management tasks according to the emotional state of the owner, the owner can comfortably manage the health of their pet.

[0092] The information reading unit can provide a customized training program for health management based on the pet's health data. For example, the information reading unit provides a customized training program for health management based on the pet's health data using a generation AI. For example, it provides an exercise menu based on the pet's weight and age. The information reading unit can also customize the training program based on the pet's health condition. For example, it can suggest exercise intensity and frequency based on the pet's physical strength and health condition. In this way, by providing a customized training program for health management, it is possible to maintain the pet's health and prevent lack of exercise.

[0093] The information reading unit can provide a customized meal plan for health management based on the pet's health data. For example, the information reading unit uses a generating AI to provide a customized meal plan for health management based on the pet's health data. For example, the information reading unit can calculate the calorie intake based on the pet's weight and age and provide a specific meal menu. The information reading unit can also evaluate the pet's nutritional balance and customize the meal plan. For example, it can evaluate the intake of vitamins and minerals and suggest a diet containing the necessary nutrients. In this way, by providing a customized meal plan for health management, it is possible to maintain the pet's health and achieve a balanced nutritional profile.

[0094] The information reading unit can provide a customized relaxation plan for health management based on the pet's health data. For example, the information reading unit uses a generating AI to provide a customized relaxation plan for health management based on the pet's health data. For example, the information reading unit can suggest relaxation methods according to the pet's stress level. The information reading unit can also customize the relaxation plan based on the pet's health condition. For example, the information reading unit can analyze the pet's behavior and emotional state and suggest optimal relaxation methods. In this way, by providing a customized relaxation plan for health management, it is possible to reduce the pet's stress and maintain its health.

[0095] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0096] The health management information recording unit can record changes in a pet's weight and support weight management. For example, a pet bed with a built-in scale can be used to measure the pet's weight every time it gets on the bed and record the data. The health management information recording unit can also display weight changes in a graph, allowing owners to intuitively manage their pet's weight. Furthermore, if there is a sudden increase or decrease in weight, an alert can be sent to alert the owner. This can support weight management and help maintain the pet's health.

[0097] The health management information recording unit can record a pet's water intake and help prevent dehydration. For example, a sensor can be attached to an automatic pet water dispenser to measure water intake and record the data. The health management information recording unit can also display fluctuations in water intake in a graph, making it easier for owners to understand their pet's water intake. Furthermore, if the water intake falls below a certain level, an alert can be sent to warn the owner. This can help prevent dehydration and maintain the pet's health.

[0098] The health management information recording unit can analyze a pet's exercise pattern and evaluate the risk of insufficient or excessive exercise. For example, an acceleration sensor built into a pet wearable device can be used to record the pet's exercise amount and exercise pattern. The health management information recording unit can also analyze the exercise data and evaluate the risk of insufficient or excessive exercise. Furthermore, if the amount of exercise is inappropriate, an alert can be sent to warn the owner. This allows the pet's exercise pattern to be analyzed and the pet to maintain an appropriate amount of exercise, which can be useful for maintaining health.

[0099] The health management information recording unit can estimate the emotional state of a pet and suggest appropriate care based on the estimated emotion. For example, the pet's behavior and facial expressions can be captured with a camera and analyzed using an emotion estimation algorithm. The health management information recording unit can also suggest relaxation methods and play activities based on the estimated emotion. Furthermore, if the pet is feeling stressed, it can send an alert to the owner and encourage appropriate care. This allows the system to understand the pet's emotional state and provide appropriate care, thereby reducing stress and helping to maintain the pet's health.

[0100] The health management information recording unit can monitor the pet's sleeping environment and provide a comfortable sleeping environment. For example, the sleeping environment can be monitored using a temperature sensor and humidity sensor built into the pet bed. The health management information recording unit can also analyze the sleeping environment data and provide advice on maintaining optimal temperature and humidity. Furthermore, if the sleeping environment is not appropriate, it can send an alert to alert the owner. In this way, monitoring the pet's sleeping environment and providing a comfortable sleeping environment can help maintain the pet's health.

[0101] The health management information recording unit can estimate the emotional state of a pet and adjust the contents of its diet based on the estimated emotion. For example, the pet's behavior and facial expressions can be captured with a camera and analyzed using an emotion estimation algorithm. The health management information recording unit can also suggest a diet menu to reduce stress based on the estimated emotion. Furthermore, if the pet is feeling stressed, it can recommend a diet containing specific nutrients. This allows the system to understand the pet's emotional state and provide an appropriate diet, thereby reducing stress and helping to maintain the pet's health.

[0102] The health management information recording unit can estimate the emotional state of a pet and adjust the exercise plan based on the estimated emotion. For example, the pet's behavior and facial expressions can be captured with a camera and analyzed using an emotion estimation algorithm. The health management information recording unit can also suggest an exercise menu to reduce stress based on the estimated emotion. Furthermore, if the pet is feeling stressed, it can recommend an exercise that has a relaxing effect. In this way, by understanding the emotional state of a pet and providing appropriate exercise, it is possible to reduce stress and help maintain the pet's health.

[0103] The health management information recording unit can estimate the emotional state of a pet and support social behavior based on the estimated emotions. For example, the pet's behavior and facial expressions can be captured with a camera and analyzed using an emotion estimation algorithm. The health management information recording unit can also provide advice to promote contact with other pets and people based on the estimated emotions. Furthermore, if the pet is feeling stressed, it can suggest that the pet refrain from social behavior. In this way, by understanding the pet's emotional state and supporting appropriate social behavior, it is possible to reduce the pet's stress and help maintain its health.

[0104] The health management information recording unit can estimate a pet's emotional state and strengthen collaboration with veterinarians based on the estimated emotions. For example, the unit can capture a pet's behavior and facial expressions with a camera and analyze them using an emotion estimation algorithm. The health management information recording unit can also share the pet's emotional state with veterinarians based on the estimated emotions to serve as a reference for diagnosis and treatment. Furthermore, if the pet is experiencing stress, the unit can send an alert to the veterinarian to prompt a prompt response. This allows the system to understand the pet's emotional state and strengthen collaboration with veterinarians, helping to maintain the pet's health.

[0105] The health management information recording unit can record a pet's allergic reactions and use the data to identify allergens. For example, it records allergic reactions caused by changes in a pet's diet or environment and analyzes the data. The health management information recording unit can also analyze allergic reaction patterns and identify specific allergens. Furthermore, if an allergic reaction occurs, it can send an alert to alert the owner. This allows the system to record a pet's allergic reactions and use the data to identify allergens, helping to maintain the pet's health.

[0106] The processing flow of the second embodiment will be briefly explained below.

[0107] Step 1: The health management information recording unit records the pet's health management information. For example, a microchip equipped with a body temperature sensor and pulse sensor can be used to measure the pet's body temperature and pulse in real time and record the data. It can also record blood data and exercise volume measured by a veterinarian on a regular basis. For example, blood test results can be recorded as digital data, and exercise volume can be measured and recorded using an acceleration sensor. Step 2: The information reading unit reads the health management information recorded by the health management information recording unit. For example, by installing a dedicated app on a smartphone and holding it over the pet's microchip, data such as body temperature, pulse rate, and amount of exercise can be easily obtained. Alternatively, a dedicated reader terminal can be used to obtain data from the microchip using an RFID reader and display it on the dedicated app.

[0108] 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.

[0109] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 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 can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0110] 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.

[0111] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0112] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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).

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0121] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0122] 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.

[0123] 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.

[0124] 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 containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 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 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 can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0125] 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.

[0126] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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).

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0136] 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 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0137] 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.

[0138] 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.

[0139] 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 containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 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 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 can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0140] 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.

[0141] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0142] 7, the 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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).

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0152] In the robot 414, the processor 46 performs the identification process. 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. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0153] 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.

[0154] 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.

[0155] 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 containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 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 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 can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0156] 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.

[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. [Explanation of symbols]

[0175] 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. a health management information recording unit for recording health management information of the pet; an information reading unit that reads the health management information recorded by the health management information recording unit; A system characterized by:

2. The health management information recording unit Estimating the emotional state of the pet and recording that data.

2. The system of claim 1.

3. The health management information recording unit Recording the pet's sleep patterns and assessing the quality of sleep 2. The system of claim 1.

4. The information reading unit It has a function to read out the pet's health data aloud, and is also suitable for visually impaired owners.

2. The system of claim 1.

5. The information reading unit Providing health care advice according to the owner's emotional state 2. The system of claim 1.

6. The information reading unit Based on the pet's health data, future health risks are predicted and preventative measures are proposed.

2. The system of claim 1.

7. The information reading unit Based on the pet's health data, veterinarians will monitor the pet in real time and provide a system that allows for rapid response in emergencies.

2. The system of claim 1.

8. The information reading unit Adjusting the priority of health care tasks according to the owner's emotional state 2. The system of claim 1.

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