System

Abstract

An object of a system according to an embodiment is to acquire internal information of a pet and utilize the internal information for daily health management.SOLUTION: A system includes a sensor part, a storage part, a communication part, and an advice part. The sensor unit acquires in-vivo information. The storage unit stores data acquired by the sensor unit. The communication unit transmits the data stored in the storage unit to the smartphone. The advice unit provides advice on health management based on the data transmitted by the communication 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 technology has not yet been able to easily obtain information about a pet's internal body and utilize it for daily health management, so there is room for improvement.

[0005] The system according to the embodiment aims to acquire information about the inside of a pet's body and use it for daily health management. [Means for solving the problem]

[0006] The system according to the embodiment includes a sensor unit, a storage unit, a communication unit, and an advice unit. The sensor unit acquires internal body information. The storage unit stores the data acquired by the sensor unit. The communication unit transmits the data stored in the storage unit to a smartphone. The advice unit provides health management advice based on the data transmitted by the communication unit. [Effects of the Invention]

[0007] The system according to the embodiment can acquire information about the inside of a pet's body and use it for daily health management. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

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

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

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

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

[0028] (Example 1) A pet health management system according to an embodiment of the present invention is a system that acquires, stores, transmits, and provides advice on a pet's internal body information. The pet health management system periodically records internal body information, such as body temperature, pulse rate, blood data, and activity level, using a microchip attached to the pet. The microchip has a built-in sensor that can acquire the pet's internal body information in real time. The recorded internal body information is then stored in the microchip. A pet owner can access the microchip and read the internal body information using a smartphone. A dedicated application is installed on the smartphone, and by launching the application and connecting to the microchip, the owner can easily check the internal body information. Furthermore, the application provides health management advice based on the internal body information. For example, the pet health management system measures the pet's body temperature and pulse rate and stores the data. The pet health management system then transmits the stored data to the smartphone. Finally, the pet health management system provides health management advice based on the transmitted data. This allows the pet health management system to grasp the pet's health condition in real time and take appropriate measures, making pet health management easier and more effective. Furthermore, since the pet's internal body information is recorded, communication with veterinarians can be facilitated. This makes pet health management easier and more effective, as the pet health management system can grasp the pet's health condition in real time and take appropriate measures. In addition, since the pet's internal information is recorded, cooperation with veterinarians can be smoother.

[0029] The pet health management system according to the embodiment includes a sensor unit, a storage unit, a communication unit, and an advice unit. The sensor unit acquires internal information about the pet. The internal information about the pet includes, but is not limited to, body temperature, pulse, blood data, and exercise amount. The sensor unit measures the pet's body temperature using, for example, a body temperature sensor. The sensor unit can also measure the pet's pulse using a pulse sensor. The sensor unit can also measure the pet's blood data using a blood data sensor. The sensor unit can also measure the pet's exercise amount using an exercise amount sensor. The storage unit stores the data acquired by the sensor unit. The storage unit stores the data in, for example, a database. The storage unit can also store the data in a file format. The storage unit can also encrypt and store the data. The communication unit transmits the data stored in the storage unit to a smartphone. The communication unit transmits the data using, for example, Bluetooth (registered trademark). The communication unit can also transmit the data using NFC. The communication unit can also transmit the data using Wi-Fi. The advice unit provides health management advice based on the data transmitted by the communication unit. The advice unit, for example, provides dietary advice based on internal body information. The advice unit can also provide exercise advice. Furthermore, the advice unit can provide stress management advice. This allows the pet health management system according to the embodiment to grasp the health condition of the pet in real time and take appropriate measures. For example, if the pet's body temperature is high, the advice unit can suggest a cooling method. Furthermore, if the pet is not exercising enough, the advice unit can provide advice to encourage exercise. Furthermore, if there is an abnormality in the pet's blood data, the advice unit can recommend that the pet be examined by a veterinarian.

[0030] The sensor unit includes a body temperature sensor, a pulse sensor, a blood data sensor, and a movement amount sensor. The body temperature sensor measures the pet's body temperature. For example, the body temperature sensor can measure body temperature non-contact using an infrared sensor. The body temperature sensor can also measure body temperature using a contact sensor. The pulse sensor measures the pet's pulse. For example, the pulse sensor can measure pulse using an optical sensor. The pulse sensor can also measure pulse using an electrical sensor. The blood data sensor measures the pet's blood data. For example, the blood data sensor can measure blood glucose levels using a blood glucose sensor. The blood data sensor can also measure oxygen saturation using an oxygen saturation sensor. The movement amount sensor measures the pet's movement amount. For example, the movement amount sensor can measure movement amount using an acceleration sensor. The movement amount sensor can also measure movement amount using a gyro sensor. In this way, by using multiple sensors, it is possible to obtain internal information about the pet from multiple angles.

[0031] The storage unit can encrypt and store data. The storage unit encrypts data using, for example, AES (Advanced Encryption Standard). The storage unit can also encrypt data using RSA (Rivest-Shamir-Adleman). The storage unit can also encrypt data using Blowfish. This improves the security of the pet's internal body information by encrypting the data. For example, the storage unit can encrypt and store data using AES. The storage unit can also encrypt and store data using RSA. The storage unit can also encrypt and store data using Blowfish.

[0032] The communication unit can use wireless communication technology such as Bluetooth or NFC. The communication unit transmits data using, for example, Bluetooth 4.0. The communication unit can also transmit data using Bluetooth 5.0. The communication unit can also transmit data using NFC (Near Field Communication). This simplifies data transmission by using wireless communication technology. For example, the communication unit can transmit data using Bluetooth 4.0 and display the data on a smartphone. The communication unit can also transmit data using Bluetooth 5.0 and display the data on a smartphone. The communication unit can also transmit data using NFC and display the data on a smartphone.

[0033] The advice unit can provide health management advice based on the internal body information. The advice unit, for example, provides dietary guidance based on the internal body information. For example, the advice unit suggests a food amount based on the pet's weight and age. The advice unit can also provide exercise guidance. For example, the advice unit suggests an exercise plan based on the pet's amount of exercise. The advice unit can also provide stress management advice. For example, the advice unit suggests relaxation methods based on the pet's stress level. In this way, providing advice based on internal body information makes pet health management more effective. For example, the advice unit suggests cooling methods if the pet's body temperature is high. The advice unit can also provide advice to encourage exercise if the pet's amount of exercise is low. The advice unit can also recommend a veterinarian visit if there is an abnormality in the pet's blood data.

[0034] The advice unit may include a customization function according to the type and age of the pet. The advice unit provides, for example, a customization function according to the type of pet. For example, the advice unit provides health care advice according to the type, such as a dog or a cat. The advice unit may also provide a customization function according to the age of the pet. For example, the advice unit provides health care advice according to the age, such as a puppy or an old dog. This allows more appropriate advice to be provided by the customization function according to the type and age of the pet. For example, the advice unit may suggest a diet for a puppy that includes nutrients necessary for growth. The advice unit may also suggest exercises for an old dog to maintain joint health. The advice unit may also suggest a diet for a kitten to boost immunity.

[0035] The storage unit may include an authentication function for preventing unauthorized access to data. The storage unit may prevent unauthorized access to data using, for example, password authentication. The storage unit may also prevent unauthorized access to data using biometric authentication. The storage unit may also prevent unauthorized access to data using two-factor authentication. This allows the authentication function to prevent unauthorized access to data. For example, the storage unit may require a password when accessing data using password authentication. The storage unit may also require fingerprint authentication when accessing data using biometric authentication. The storage unit may also require both a password and fingerprint authentication when accessing data using two-factor authentication.

[0036] The sensor unit can be further equipped with a sensor that measures the amount of food intake of a pet, which can be useful for health management. The sensor unit measures the amount of food intake, for example, using a sensor attached to the pet's bowl. For example, the sensor unit measures the amount of food intake using a weight sensor. The sensor unit can also automatically record the amount of food intake each time the pet eats. For example, the sensor unit integrates and analyzes data on the amount of food intake with other health data. This makes measuring the amount of food intake more effective for pet health management. For example, the sensor unit can measure the amount of food intake of a pet and suggest an appropriate amount of food. The sensor unit can also manage the pet's weight based on the data on the amount of food intake. Furthermore, the sensor unit can evaluate the nutritional balance of the pet based on the data on the amount of food intake.

[0037] The sensor unit can add a sensor that detects the pet's sleep pattern and comprehensively evaluate the pet's health condition. The sensor unit detects the sleep pattern, for example, using a sensor attached to the pet's bed. For example, the sensor unit detects the pet's sleep pattern using a motion sensor. The sensor unit can also detect the pet's movements and evaluate the quality of sleep. For example, the sensor unit integrates and analyzes sleep pattern data with other health data. This allows the pet's health condition to be comprehensively evaluated by detecting the sleep pattern. For example, the sensor unit can detect the pet's sleep pattern and suggest an appropriate sleeping environment. The sensor unit can also evaluate the pet's stress level based on the sleep pattern data. Furthermore, the sensor unit can predict the pet's health risks based on the sleep pattern data.

[0038] The sensor unit can be equipped with an additional sensor that detects the pet's skin condition, which can be useful for early detection of skin diseases. The sensor unit detects the skin condition using, for example, a sensor attached to the pet's skin. For example, the sensor unit measures the skin temperature using a temperature sensor. The sensor unit can also measure the skin humidity using a humidity sensor. Furthermore, the sensor unit can integrate and analyze skin condition data with other health data. This enables early detection of skin diseases by detecting the skin condition. For example, the sensor unit can measure the skin temperature and humidity and detect abnormalities. Furthermore, the sensor unit can suggest appropriate skin care based on the skin condition data. Furthermore, the sensor unit can predict the risk of skin diseases based on the skin condition data.

[0039] The sensor unit can be equipped with a GPS sensor that acquires location information of the pet, which can be useful in preventing the pet from getting lost. The sensor unit acquires location information, for example, using a GPS sensor attached to the pet's collar. For example, the sensor unit tracks the pet's location in real time. The sensor unit can also make the location information available via a smartphone app. This helps prevent the pet from getting lost by acquiring location information. For example, the sensor unit can acquire the pet's location information and notify the owner. The sensor unit can also determine the search area in case the pet gets lost based on the pet's location information. Furthermore, the sensor unit can analyze the pet's behavioral patterns based on the location information.

[0040] The sensor unit can add a sensor that measures the pet's respiratory rate to monitor the health of the pet's respiratory system. The sensor unit measures the respiratory rate, for example, using a sensor attached to the pet's chest. For example, the sensor unit measures the respiratory rate using a respiratory sensor. The sensor unit can also measure the respiratory rate using an oxygen saturation sensor. Furthermore, the sensor unit can integrate and analyze respiratory rate data with other health data. In this way, the respiratory rate measurement can monitor the health of the pet's respiratory system. For example, the sensor unit can measure the pet's respiratory rate and detect abnormalities. The sensor unit can also suggest appropriate respiratory management based on the respiratory rate data. Furthermore, the sensor unit can predict health risks to the respiratory system based on the respiratory rate data.

[0041] The sensor unit can be equipped with an additional sensor that measures the pet's water intake, which can be useful in preventing dehydration. The sensor unit measures the water intake using, for example, a sensor attached to the pet's water bowl. For example, the sensor unit measures the water intake using a weight sensor. The sensor unit can also record the water intake each time the pet drinks water. Furthermore, the sensor unit can integrate and analyze the water intake data with other health data. In this way, measuring the water intake helps prevent dehydration. For example, the sensor unit can measure the pet's water intake and suggest appropriate hydration. The sensor unit can also assess the pet's risk of dehydration based on the water intake data. Furthermore, the sensor unit can comprehensively evaluate the pet's health condition based on the water intake data.

[0042] The storage unit can add a data backup function to prevent data loss. The storage unit, for example, periodically backs up data to the cloud. For example, the storage unit can set a schedule for automatically backing up data. The storage unit can also encrypt and store backup data. This makes it possible to prevent data loss using the data backup function. For example, the storage unit can periodically back up data to the cloud to prevent data loss. The storage unit can set a schedule for automatically backing up data to prevent data loss. Furthermore, the storage unit can encrypt and store backup data to prevent data loss.

[0043] The storage unit may add a data compression function, thereby enabling efficient use of storage capacity. The storage unit may, for example, compress and store data to save storage capacity. For example, the storage unit may use a compression algorithm to reduce the size of data. The storage unit may also decompress the compressed data to make it available when needed. This allows efficient use of storage capacity through the data compression function. For example, the storage unit may compress and store data to save storage capacity. For example, the storage unit may use a compression algorithm to reduce the size of data to save storage capacity. The storage unit may also decompress the compressed data to make it available when needed, thereby enabling efficient use of storage capacity.

[0044] The storage unit may add a data version management function to allow easy reference to past data. The storage unit, for example, manages data versions and allows easy reference to past data. For example, the storage unit may use a version control system to record a data change history. The storage unit may also allow easy search and reference to past data. This allows easy reference to past data through the data version management function. For example, the storage unit may manage data versions and allow easy reference to past data. The storage unit may also use a version control system to record a data change history and allow easy reference to past data. The storage unit may also allow easy search and reference to past data.

[0045] The storage unit can add an automatic data deletion function to delete old data after a certain period of time. The storage unit, for example, can set the function to automatically delete old data after a certain period of time. For example, the storage unit can set a data storage period and automatically delete data after the period has expired. The storage unit can also add a function to back up old data before deleting it. This allows the automatic data deletion function to efficiently manage storage capacity. For example, the storage unit can set the function to automatically delete old data after a certain period of time and efficiently manage storage capacity. The storage unit can also set a data storage period and automatically delete data after the period has expired, efficiently managing storage capacity. The storage unit can also add a function to back up old data before deleting it, efficiently managing storage capacity.

[0046] The storage unit can add a data sharing function, allowing data to be shared among multiple devices. The storage unit, for example, stores data in a cloud and allows access from multiple devices. For example, the storage unit can set data sharing and share data with a specific device. The storage unit can also record a data sharing history and enable confirmation of which device the data was shared with. This allows data to be shared among multiple devices using the data sharing function. For example, the storage unit can store data in a cloud and allow access from multiple devices. The storage unit can set data sharing and share data with a specific device, allowing data to be shared among multiple devices. The storage unit can also record a data sharing history and enable confirmation of which device the data was shared with, allowing data to be shared among multiple devices.

[0047] The storage unit can be configured to allow a selection of multiple encryption algorithms for data, thereby enabling the security level to be adjusted. The storage unit, for example, selects from multiple encryption algorithms and encrypts data. For example, the storage unit changes the encryption algorithm depending on the security level. The storage unit can also implement a key management system for decrypting encrypted data. This allows the security level to be adjusted by selecting an encryption algorithm. For example, the storage unit selects from multiple encryption algorithms and encrypts data. The storage unit can change the encryption algorithm depending on the security level and encrypt the data. Furthermore, the storage unit can implement a key management system for decrypting the encrypted data and encrypt the data.

[0048] The communication unit may have an additional function of adjusting the data transmission speed, enabling appropriate transmission according to the communication environment. For example, when the communication environment is good, the communication unit transmits data at a high speed. For example, when the communication environment is unstable, the communication unit transmits data at a lower transmission speed. The communication unit may also automatically adjust the transmission speed according to the communication environment. This improves the efficiency of data transmission by adjusting the transmission speed according to the communication environment. For example, when the communication environment is good, the communication unit transmits data at a high speed. For example, when the communication environment is unstable, the communication unit may transmit data at a lower transmission speed. Furthermore, the communication unit may automatically adjust the transmission speed according to the communication environment, enabling the efficiency of data transmission to be improved.

[0049] The communication unit can be added with a function to detect data transmission errors and perform retransmission. The communication unit, for example, detects data transmission errors and automatically performs retransmission. For example, the communication unit records an error log when a transmission error occurs. The communication unit can also set the number of retransmissions and attempt retransmission a certain number of times. This improves the reliability of data transmission by detecting transmission errors and performing retransmission. For example, the communication unit detects data transmission errors and automatically performs retransmission. The communication unit can also record an error log when a transmission error occurs and perform retransmission. Furthermore, the communication unit can set the number of retransmissions and attempt retransmission a certain number of times, thereby improving the reliability of data transmission.

[0050] The communication unit can store a data transmission history and enable the transmission status to be checked. The communication unit, for example, can store a data transmission history and enable the transmission status to be checked. For example, the communication unit can analyze the transmission history and identify the cause of a transmission error. The communication unit can also adjust the transmission frequency and transmission speed based on the transmission history. This makes it easier to check the transmission status by storing the transmission history. For example, the communication unit can store a data transmission history and enable the transmission status to be checked. The communication unit can analyze the transmission history and identify the cause of a transmission error so that the transmission status can be checked. Furthermore, the communication unit can adjust the transmission frequency and transmission speed based on the transmission history so that the transmission status can be checked.

[0051] The communication unit can be provided with a Wi-Fi communication function, enabling data transmission over a wide area. The communication unit, for example, uses the Wi-Fi communication function to transmit data over a wide area. For example, the communication unit automatically switches to Wi-Fi communication in an environment where Wi-Fi communication is available. The communication unit can also check the connection status of Wi-Fi communication and perform optimal transmission. This enables data transmission over a wide area using the Wi-Fi communication function. For example, the communication unit uses the Wi-Fi communication function to transmit data over a wide area. For example, the communication unit automatically switches to Wi-Fi communication in an environment where Wi-Fi communication is available and transmits data over a wide area. Furthermore, the communication unit can check the connection status of Wi-Fi communication and perform optimal transmission, enabling data transmission over a wide area.

[0052] The communication unit has an added function of being able to set multiple data destinations, and can transmit data to multiple devices simultaneously. The communication unit, for example, sets multiple data destinations and transmits data simultaneously. For example, the communication unit sets a transmission frequency and a transmission speed for each destination. The communication unit can also check whether the destination device is in a state where it can receive data. This makes it easier to share data by transmitting data to multiple devices simultaneously. For example, the communication unit sets multiple data destinations and transmits data simultaneously. The communication unit can set a transmission frequency and a transmission speed for each destination and transmit data to multiple devices simultaneously. Furthermore, the communication unit can check whether the destination device is in a state where it can receive data and transmit data to multiple devices simultaneously, making it easier to share data.

[0053] The communication unit adds a function that can set data transmission priorities, and can transmit important data with priority. The communication unit, for example, makes a setting to transmit important data with priority. For example, the communication unit sets the transmission priority according to the importance of the data. The communication unit can also automatically adjust the data transmission order based on the transmission priority. This allows important data to be transmitted with priority, thereby improving data transmission efficiency. For example, the communication unit makes a setting to transmit important data with priority, thereby improving data transmission efficiency. The communication unit can set the transmission priority according to the importance of the data, thereby transmitting important data with priority. Furthermore, the communication unit can automatically adjust the data transmission order based on the transmission priority, thereby transmitting important data with priority, thereby improving data transmission efficiency.

[0054] The advice unit can add a function to improve the accuracy of advice by referring to the pet's past health data. The advice unit, for example, evaluates the pet's current health condition based on the pet's past health data. For example, the advice unit refers to the past data to provide appropriate health management advice. The advice unit can also analyze trends in the health data and predict future health risks. This improves the accuracy of advice by referring to the past health data. For example, the advice unit evaluates the pet's current health condition based on the pet's past health data. The advice unit can also provide appropriate health management advice by referring to the past data. Furthermore, the advice unit can improve the accuracy of advice by analyzing trends in the health data and predicting future health risks.

[0055] The advice unit can be added with a function of providing advice customized based on the pet's living environment. The advice unit provides advice based on, for example, the pet's living environment (indoors, outdoors, etc.). For example, the advice unit provides advice on the amount of exercise and diet according to the living environment. The advice unit can also provide health management advice that corresponds to changes in the living environment. By providing advice based on the living environment, more appropriate health management is possible. For example, the advice unit provides advice based on the pet's living environment (indoors, outdoors, etc.). The advice unit can also provide advice on the amount of exercise and diet according to the living environment. Furthermore, by providing health management advice that corresponds to changes in the living environment, more appropriate health management is possible.

[0056] The advice unit can add a function to improve the advice content by reflecting feedback from the pet owner. The advice unit, for example, collects feedback from the owner and improves the advice content. For example, the advice unit improves the accuracy of the advice based on the feedback. The advice unit can also provide customized advice that reflects the owner's opinions. In this way, the advice content becomes more appropriate by reflecting the owner's feedback. For example, the advice unit collects feedback from the owner and improves the advice content. The advice unit can improve the accuracy of the advice based on the feedback. In addition, the advice unit can provide customized advice that reflects the owner's opinions, making the advice content more appropriate.

[0057] The advice unit can be added with a function of providing advice regarding dietary management of a pet. The advice unit provides appropriate dietary management advice based on, for example, the amount of food intake of the pet. For example, the advice unit provides advice taking into consideration the nutritional balance of meals. The advice unit can also provide advice regarding the timing and frequency of meals. In this way, by providing advice regarding dietary management, pet health management becomes more effective. For example, the advice unit provides appropriate dietary management advice based on the amount of food intake of the pet. The advice unit can also provide advice taking into consideration the nutritional balance of meals. Furthermore, by providing advice regarding the timing and frequency of meals, pet health management becomes more effective.

[0058] The advice unit can be added with a function of providing advice regarding pet exercise management. The advice unit provides appropriate exercise management advice based on, for example, the amount of exercise the pet gets. For example, the advice unit provides advice regarding the type and frequency of exercise. The advice unit can also provide advice for maximizing the effects of exercise. By providing advice regarding exercise management, pet health management becomes more effective. For example, the advice unit provides appropriate exercise management advice based on the amount of exercise the pet gets. The advice unit can also provide advice regarding the type and frequency of exercise. Furthermore, by providing advice for maximizing the effects of exercise, pet health management becomes more effective.

[0059] The advice unit can be added with a function of providing advice regarding stress management for pets. The advice unit provides appropriate stress management advice based on, for example, the stress level of the pet. For example, the advice unit provides advice on improving the environment to reduce stress. The advice unit can also provide advice regarding how to deal with stress when the pet feels stressed. By providing advice regarding stress management, pet health management becomes more effective. For example, the advice unit provides appropriate stress management advice based on the stress level of the pet. The advice unit can also provide advice on improving the environment to reduce stress. Furthermore, the advice unit can provide advice regarding how to deal with stress when the pet feels stressed, thereby making pet health management more effective.

[0060] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0061] The sensor unit can acquire not only internal pet information but also environmental information. For example, the sensor unit can measure the temperature around the pet using a temperature sensor, the humidity sensor can measure the ambient humidity, and the light sensor can measure the ambient brightness. This allows for more comprehensive health management by combining internal pet information with environmental information. For example, if a pet's body temperature is high, high ambient temperature may be the cause, and cooling methods can be suggested. Also, if a pet is not exercising much, low ambient brightness may be the cause, and advice can be given to encourage exercise in well-lit areas. Furthermore, if a pet's stress level is high, high ambient humidity may be the cause, and methods to adjust humidity can be suggested.

[0062] The sensor unit can not only acquire internal information about the pet, but also have the ability to learn the pet's behavioral patterns. For example, the sensor unit can analyze the pet's walking pattern and detect abnormal walking. The sensor unit can also analyze the pet's eating pattern and detect changes in food intake. Furthermore, the sensor unit can analyze the pet's sleeping pattern and evaluate the quality of sleep. By learning the pet's behavioral patterns, abnormalities can be detected early and appropriate measures can be taken. For example, if the pet's walking pattern is abnormal, joint problems can be suspected and a veterinary consultation can be recommended. Furthermore, if the eating pattern is variable, digestive problems can be suspected and a review of the pet's diet can be suggested. Furthermore, if the sleep pattern is abnormal, stress or health issues can be suspected and relaxation methods can be suggested.

[0063] The storage unit may have a function for selecting a plurality of data storage formats. For example, the storage unit may store data in text format. The storage unit may also store data in graph format. The storage unit may also store data in audio format. This makes it more convenient to use data by selecting the data storage format. For example, the storage unit may allow easy search of data stored in text format. The storage unit may also allow visual confirmation of data stored in graph format. The storage unit may also allow audible confirmation of data stored in audio format.

[0064] The communication unit may have a function that allows customization of the data transmission destination. For example, the communication unit may not only send data to the owner's smartphone, but also to a veterinarian's system. The communication unit may also store data in the cloud so that it can be accessed from multiple devices. Furthermore, the communication unit may send data to a pet health management service so that expert advice can be received. This allows customization of the data transmission destination to enable more effective health management. For example, the communication unit may send data to the owner's smartphone to support daily health management. It may also send data to a veterinarian's system so that expert diagnosis can be received. Furthermore, storing data in the cloud so that it can be accessed from multiple devices makes data use more convenient.

[0065] The advice unit can provide preventive medical advice based on the pet's health data. For example, the advice unit can analyze the pet's body temperature and pulse data to support early detection of illness. The advice unit can also support the prevention of lifestyle-related diseases based on the pet's exercise and food intake data. Furthermore, the advice unit can support mental health care based on the pet's stress level data. This makes it easier to maintain the pet's health by providing preventive medical advice. For example, the advice unit can suggest regular health checks based on the body temperature and pulse data. The advice unit can also suggest balanced lifestyle habits based on the exercise and food intake data. Furthermore, the pet's mental health can be cared for by suggesting relaxation methods based on the stress level data.

[0066] The processing flow of the first embodiment will be briefly explained below.

[0067] Step 1: The sensor unit acquires internal information about the pet. The internal information about the pet includes, for example, body temperature, pulse rate, blood data, and amount of exercise. The sensor unit measures this data using a body temperature sensor, pulse rate sensor, blood data sensor, and amount of exercise sensor. Step 2: The storage unit stores the data acquired by the sensor unit. The storage unit stores the data in a database or file format, and can also encrypt and store the data as needed. Step 3: The communication unit transmits the data stored in the storage unit to the smartphone using a communication method such as Bluetooth, NFC, or Wi-Fi. Step 4: The advice unit provides health management advice based on the data sent by the communication unit. The advice unit provides dietary guidance, exercise guidance, and stress management advice based on internal body information. For example, if the pet's body temperature is high, it will suggest cooling methods, if the pet is not getting enough exercise, it will provide advice to encourage exercise, and if there are any abnormalities in the blood data, it will recommend a visit to a veterinarian.

[0068] (Example 2) A pet health management system according to an embodiment of the present invention is a system that acquires, stores, transmits, and provides advice on a pet's internal body information. The pet health management system periodically records internal body information, such as body temperature, pulse rate, blood data, and activity level, using a microchip attached to the pet. The microchip has a built-in sensor that can acquire the pet's internal body information in real time. The recorded internal body information is then stored in the microchip. A pet owner can access the microchip and read the internal body information using a smartphone. A dedicated application is installed on the smartphone, and by launching the application and connecting to the microchip, the owner can easily check the internal body information. Furthermore, the application provides health management advice based on the internal body information. For example, the pet health management system measures the pet's body temperature and pulse rate and stores the data. The pet health management system then transmits the stored data to the smartphone. Finally, the pet health management system provides health management advice based on the transmitted data. This allows the pet health management system to grasp the pet's health condition in real time and take appropriate measures, making pet health management easier and more effective. Furthermore, since the pet's internal body information is recorded, communication with veterinarians can be facilitated. This makes pet health management easier and more effective, as the pet health management system can grasp the pet's health condition in real time and take appropriate measures. In addition, since the pet's internal information is recorded, cooperation with veterinarians can be smoother.

[0069] The pet health management system according to the embodiment includes a sensor unit, a storage unit, a communication unit, and an advice unit. The sensor unit acquires internal information about the pet. The internal information about the pet includes, but is not limited to, body temperature, pulse, blood data, and exercise amount. The sensor unit measures the pet's body temperature using, for example, a body temperature sensor. The sensor unit can also measure the pet's pulse using a pulse sensor. The sensor unit can also measure the pet's blood data using a blood data sensor. The sensor unit can also measure the pet's exercise amount using an exercise amount sensor. The storage unit stores the data acquired by the sensor unit. The storage unit stores the data in, for example, a database. The storage unit can also store the data in a file format. The storage unit can also encrypt and store the data. The communication unit transmits the data stored in the storage unit to a smartphone. The communication unit transmits the data using, for example, Bluetooth. The communication unit can also transmit the data using NFC. The communication unit can also transmit the data using Wi-Fi. The advice unit provides health management advice based on the data transmitted by the communication unit. The advice unit, for example, provides dietary advice based on internal body information. The advice unit can also provide exercise advice. Furthermore, the advice unit can provide stress management advice. This allows the pet health management system according to the embodiment to grasp the health condition of the pet in real time and take appropriate measures. For example, if the pet's body temperature is high, the advice unit can suggest a cooling method. Furthermore, if the pet is not exercising enough, the advice unit can provide advice to encourage exercise. Furthermore, if there is an abnormality in the pet's blood data, the advice unit can recommend that the pet be examined by a veterinarian.

[0070] The sensor unit includes a body temperature sensor, a pulse sensor, a blood data sensor, and a movement amount sensor. The body temperature sensor measures the pet's body temperature. For example, the body temperature sensor can measure body temperature non-contact using an infrared sensor. The body temperature sensor can also measure body temperature using a contact sensor. The pulse sensor measures the pet's pulse. For example, the pulse sensor can measure pulse using an optical sensor. The pulse sensor can also measure pulse using an electrical sensor. The blood data sensor measures the pet's blood data. For example, the blood data sensor can measure blood glucose levels using a blood glucose sensor. The blood data sensor can also measure oxygen saturation using an oxygen saturation sensor. The movement amount sensor measures the pet's movement amount. For example, the movement amount sensor can measure movement amount using an acceleration sensor. The movement amount sensor can also measure movement amount using a gyro sensor. In this way, by using multiple sensors, it is possible to obtain internal information about the pet from multiple angles.

[0071] The storage unit can encrypt and store data. The storage unit encrypts data using, for example, AES (Advanced Encryption Standard). The storage unit can also encrypt data using RSA (Rivest-Shamir-Adleman). The storage unit can also encrypt data using Blowfish. This improves the security of the pet's internal body information by encrypting the data. For example, the storage unit can encrypt and store data using AES. The storage unit can also encrypt and store data using RSA. The storage unit can also encrypt and store data using Blowfish.

[0072] The communication unit can use wireless communication technology such as Bluetooth or NFC. The communication unit transmits data using, for example, Bluetooth 4.0. The communication unit can also transmit data using Bluetooth 5.0. The communication unit can also transmit data using NFC (Near Field Communication). This simplifies data transmission by using wireless communication technology. For example, the communication unit can transmit data using Bluetooth 4.0 and display the data on a smartphone. The communication unit can also transmit data using Bluetooth 5.0 and display the data on a smartphone. The communication unit can also transmit data using NFC and display the data on a smartphone.

[0073] The advice unit can provide health management advice based on the internal body information. The advice unit, for example, provides dietary guidance based on the internal body information. For example, the advice unit suggests a food amount based on the pet's weight and age. The advice unit can also provide exercise guidance. For example, the advice unit suggests an exercise plan based on the pet's amount of exercise. The advice unit can also provide stress management advice. For example, the advice unit suggests relaxation methods based on the pet's stress level. In this way, providing advice based on internal body information makes pet health management more effective. For example, the advice unit suggests cooling methods if the pet's body temperature is high. The advice unit can also provide advice to encourage exercise if the pet's amount of exercise is low. The advice unit can also recommend a veterinarian visit if there is an abnormality in the pet's blood data.

[0074] The advice unit may include a customization function according to the type and age of the pet. The advice unit provides, for example, a customization function according to the type of pet. For example, the advice unit provides health care advice according to the type, such as a dog or a cat. The advice unit may also provide a customization function according to the age of the pet. For example, the advice unit provides health care advice according to the age, such as a puppy or an old dog. This allows more appropriate advice to be provided by the customization function according to the type and age of the pet. For example, the advice unit may suggest a diet for a puppy that includes nutrients necessary for growth. The advice unit may also suggest exercises for an old dog to maintain joint health. The advice unit may also suggest a diet for a kitten to boost immunity.

[0075] The storage unit may include an authentication function for preventing unauthorized access to data. The storage unit may prevent unauthorized access to data using, for example, password authentication. The storage unit may also prevent unauthorized access to data using biometric authentication. The storage unit may also prevent unauthorized access to data using two-factor authentication. This allows the authentication function to prevent unauthorized access to data. For example, the storage unit may require a password when accessing data using password authentication. The storage unit may also require fingerprint authentication when accessing data using biometric authentication. The storage unit may also require both a password and fingerprint authentication when accessing data using two-factor authentication.

[0076] The sensor unit can estimate the pet's emotions and adjust the frequency of measuring the body temperature and pulse rate based on the emotions. The sensor unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the sensor unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The sensor unit can also estimate the emotion by analyzing the pet's voice. For example, the sensor unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The sensor unit can also estimate the emotion by analyzing the pet's biometric data. For example, the sensor unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This allows for more accurate data to be obtained by adjusting the measurement frequency according to the pet's emotions. For example, if the pet is excited, the sensor unit can increase the frequency of measuring the body temperature and pulse rate. If the pet is relaxed, the sensor unit can decrease the frequency of measuring the body temperature and pulse rate. If the pet is stressed, the sensor unit can set the frequency of measuring the body temperature and pulse rate to a medium level.

[0077] The sensor unit can be further equipped with a sensor that measures the amount of food intake of a pet, which can be useful for health management. The sensor unit measures the amount of food intake, for example, using a sensor attached to the pet's bowl. For example, the sensor unit measures the amount of food intake using a weight sensor. The sensor unit can also automatically record the amount of food intake each time the pet eats. For example, the sensor unit integrates and analyzes data on the amount of food intake with other health data. This makes measuring the amount of food intake more effective for pet health management. For example, the sensor unit can measure the amount of food intake of a pet and suggest an appropriate amount of food. The sensor unit can also manage the pet's weight based on the data on the amount of food intake. Furthermore, the sensor unit can evaluate the nutritional balance of the pet based on the data on the amount of food intake.

[0078] The sensor unit can add a sensor that detects the pet's sleep pattern and comprehensively evaluate the pet's health condition. The sensor unit detects the sleep pattern, for example, using a sensor attached to the pet's bed. For example, the sensor unit detects the pet's sleep pattern using a motion sensor. The sensor unit can also detect the pet's movements and evaluate the quality of sleep. For example, the sensor unit integrates and analyzes sleep pattern data with other health data. This allows the pet's health condition to be comprehensively evaluated by detecting the sleep pattern. For example, the sensor unit can detect the pet's sleep pattern and suggest an appropriate sleeping environment. The sensor unit can also evaluate the pet's stress level based on the sleep pattern data. Furthermore, the sensor unit can predict the pet's health risks based on the sleep pattern data.

[0079] The sensor unit can be equipped with an additional sensor that detects the pet's skin condition, which can be useful for early detection of skin diseases. The sensor unit detects the skin condition using, for example, a sensor attached to the pet's skin. For example, the sensor unit measures the skin temperature using a temperature sensor. The sensor unit can also measure the skin humidity using a humidity sensor. Furthermore, the sensor unit can integrate and analyze skin condition data with other health data. This enables early detection of skin diseases by detecting the skin condition. For example, the sensor unit can measure the skin temperature and humidity and detect abnormalities. Furthermore, the sensor unit can suggest appropriate skin care based on the skin condition data. Furthermore, the sensor unit can predict the risk of skin diseases based on the skin condition data.

[0080] The sensor unit can estimate the emotion of the pet and adjust the method for measuring the amount of exercise based on the emotion. The sensor unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the sensor unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The sensor unit can also estimate the emotion by analyzing the pet's voice. For example, the sensor unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The sensor unit can also estimate the emotion by analyzing the pet's biometric data. For example, the sensor unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This allows for more accurate data to be obtained by adjusting the method for measuring the amount of exercise depending on the pet's emotion. For example, if the pet is excited, the sensor unit can increase the frequency of measuring the amount of exercise. If the pet is relaxed, the sensor unit can decrease the frequency of measuring the amount of exercise. If the pet is stressed, the sensor unit can set the frequency of measuring the amount of exercise to a medium level.

[0081] The sensor unit can be equipped with a GPS sensor that acquires location information of the pet, which can be useful in preventing the pet from getting lost. The sensor unit acquires location information, for example, using a GPS sensor attached to the pet's collar. For example, the sensor unit tracks the pet's location in real time. The sensor unit can also make the location information available via a smartphone app. This helps prevent the pet from getting lost by acquiring location information. For example, the sensor unit can acquire the pet's location information and notify the owner. The sensor unit can also determine the search area in case the pet gets lost based on the pet's location information. Furthermore, the sensor unit can analyze the pet's behavioral patterns based on the location information.

[0082] The sensor unit can add a sensor that measures the pet's respiratory rate to monitor the health of the pet's respiratory system. The sensor unit measures the respiratory rate, for example, using a sensor attached to the pet's chest. For example, the sensor unit measures the respiratory rate using a respiratory sensor. The sensor unit can also measure the respiratory rate using an oxygen saturation sensor. Furthermore, the sensor unit can integrate and analyze respiratory rate data with other health data. In this way, the respiratory rate measurement can monitor the health of the pet's respiratory system. For example, the sensor unit can measure the pet's respiratory rate and detect abnormalities. The sensor unit can also suggest appropriate respiratory management based on the respiratory rate data. Furthermore, the sensor unit can predict health risks to the respiratory system based on the respiratory rate data.

[0083] The sensor unit can be equipped with an additional sensor that measures the pet's water intake, which can be useful in preventing dehydration. The sensor unit measures the water intake using, for example, a sensor attached to the pet's water bowl. For example, the sensor unit measures the water intake using a weight sensor. The sensor unit can also record the water intake each time the pet drinks water. Furthermore, the sensor unit can integrate and analyze the water intake data with other health data. In this way, measuring the water intake helps prevent dehydration. For example, the sensor unit can measure the pet's water intake and suggest appropriate hydration. The sensor unit can also assess the pet's risk of dehydration based on the water intake data. Furthermore, the sensor unit can comprehensively evaluate the pet's health condition based on the water intake data.

[0084] The storage unit can estimate the pet's emotions and adjust the data storage frequency based on the emotions. The storage unit, for example, recognizes the pet's facial expressions to estimate the emotions. For example, the storage unit uses a camera to capture the pet's facial expressions and estimate the emotions using an emotion estimation algorithm. The storage unit can also analyze the pet's voice to estimate the emotions. For example, the storage unit uses a microphone to record the pet's voice and estimate the emotions using an audio analysis algorithm. The storage unit can also analyze the pet's biometric data to estimate the emotions. For example, the storage unit measures the heart rate and electrodermal activity and estimates the emotions using an emotion estimation algorithm. This enables more appropriate data management by adjusting the data storage frequency according to the pet's emotions. For example, if the pet is excited, the storage unit can increase the data storage frequency. If the pet is relaxed, the storage unit can decrease the data storage frequency. If the pet is stressed, the storage unit can set the data storage frequency to a medium level.

[0085] The storage unit can add a data backup function to prevent data loss. The storage unit, for example, periodically backs up data to the cloud. For example, the storage unit can set a schedule for automatically backing up data. The storage unit can also encrypt and store backup data. This makes it possible to prevent data loss using the data backup function. For example, the storage unit can periodically back up data to the cloud to prevent data loss. The storage unit can set a schedule for automatically backing up data to prevent data loss. Furthermore, the storage unit can encrypt and store backup data to prevent data loss.

[0086] The storage unit may add a data compression function, thereby enabling efficient use of storage capacity. The storage unit may, for example, compress and store data to save storage capacity. For example, the storage unit may use a compression algorithm to reduce the size of data. The storage unit may also decompress the compressed data to make it available when needed. This allows efficient use of storage capacity through the data compression function. For example, the storage unit may compress and store data to save storage capacity. For example, the storage unit may use a compression algorithm to reduce the size of data to save storage capacity. The storage unit may also decompress the compressed data to make it available when needed, thereby enabling efficient use of storage capacity.

[0087] The storage unit may add a data version management function to allow easy reference to past data. The storage unit, for example, manages data versions and allows easy reference to past data. For example, the storage unit may use a version control system to record a data change history. The storage unit may also allow easy search and reference to past data. This allows easy reference to past data through the data version management function. For example, the storage unit may manage data versions and allow easy reference to past data. The storage unit may also use a version control system to record a data change history and allow easy reference to past data. The storage unit may also allow easy search and reference to past data.

[0088] The storage unit can estimate the pet's emotion and adjust the data storage format based on the emotion. The storage unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the storage unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The storage unit can also analyze the pet's voice to estimate the emotion. For example, the storage unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The storage unit can also analyze the pet's biometric data to estimate the emotion. For example, the storage unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This allows for more appropriate data management by adjusting the data storage format according to the pet's emotion. For example, if the pet is excited, the storage unit can store detailed data. If the pet is relaxed, the storage unit can store simplified data. If the pet is stressed, the storage unit can store medium-detailed data.

[0089] The storage unit can add an automatic data deletion function to delete old data after a certain period of time. The storage unit, for example, can set the function to automatically delete old data after a certain period of time. For example, the storage unit can set a data storage period and automatically delete data after the period has expired. The storage unit can also add a function to back up old data before deleting it. This allows the automatic data deletion function to efficiently manage storage capacity. For example, the storage unit can set the function to automatically delete old data after a certain period of time and efficiently manage storage capacity. The storage unit can also set a data storage period and automatically delete data after the period has expired, efficiently managing storage capacity. The storage unit can also add a function to back up old data before deleting it, efficiently managing storage capacity.

[0090] The storage unit can add a data sharing function, allowing data to be shared among multiple devices. The storage unit, for example, stores data in a cloud and allows access from multiple devices. For example, the storage unit can set data sharing and share data with a specific device. The storage unit can also record a data sharing history and enable confirmation of which device the data was shared with. This allows data to be shared among multiple devices using the data sharing function. For example, the storage unit can store data in a cloud and allow access from multiple devices. The storage unit can set data sharing and share data with a specific device, allowing data to be shared among multiple devices. The storage unit can also record a data sharing history and enable confirmation of which device the data was shared with, allowing data to be shared among multiple devices.

[0091] The storage unit can be configured to allow a selection of multiple encryption algorithms for data, thereby enabling the security level to be adjusted. The storage unit, for example, selects from multiple encryption algorithms and encrypts data. For example, the storage unit changes the encryption algorithm depending on the security level. The storage unit can also implement a key management system for decrypting encrypted data. This allows the security level to be adjusted by selecting an encryption algorithm. For example, the storage unit selects from multiple encryption algorithms and encrypts data. The storage unit can change the encryption algorithm depending on the security level and encrypt the data. Furthermore, the storage unit can implement a key management system for decrypting the encrypted data and encrypt the data.

[0092] The communication unit can estimate the pet's emotion and adjust the communication frequency based on the emotion. The communication unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the communication unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The communication unit can also analyze the pet's voice to estimate the emotion. For example, the communication unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The communication unit can also analyze the pet's biometric data to estimate the emotion. For example, the communication unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This enables more appropriate data transmission by adjusting the communication frequency according to the pet's emotion. For example, if the pet is excited, the communication unit can increase the communication frequency. If the pet is relaxed, the communication unit can decrease the communication frequency. If the pet is stressed, the communication unit can set the communication frequency to a medium level.

[0093] The communication unit may have an additional function of adjusting the data transmission speed, enabling appropriate transmission according to the communication environment. For example, when the communication environment is good, the communication unit transmits data at a high speed. For example, when the communication environment is unstable, the communication unit transmits data at a lower transmission speed. The communication unit may also automatically adjust the transmission speed according to the communication environment. This improves the efficiency of data transmission by adjusting the transmission speed according to the communication environment. For example, when the communication environment is good, the communication unit transmits data at a high speed. For example, when the communication environment is unstable, the communication unit may transmit data at a lower transmission speed. Furthermore, the communication unit may automatically adjust the transmission speed according to the communication environment, enabling the efficiency of data transmission to be improved.

[0094] The communication unit can be added with a function to detect data transmission errors and perform retransmission. The communication unit, for example, detects data transmission errors and automatically performs retransmission. For example, the communication unit records an error log when a transmission error occurs. The communication unit can also set the number of retransmissions and attempt retransmission a certain number of times. This improves the reliability of data transmission by detecting transmission errors and performing retransmission. For example, the communication unit detects data transmission errors and automatically performs retransmission. The communication unit can also record an error log when a transmission error occurs and perform retransmission. Furthermore, the communication unit can set the number of retransmissions and attempt retransmission a certain number of times, thereby improving the reliability of data transmission.

[0095] The communication unit can store a data transmission history and enable the transmission status to be checked. The communication unit, for example, can store a data transmission history and enable the transmission status to be checked. For example, the communication unit can analyze the transmission history and identify the cause of a transmission error. The communication unit can also adjust the transmission frequency and transmission speed based on the transmission history. This makes it easier to check the transmission status by storing the transmission history. For example, the communication unit can store a data transmission history and enable the transmission status to be checked. The communication unit can analyze the transmission history and identify the cause of a transmission error so that the transmission status can be checked. Furthermore, the communication unit can adjust the transmission frequency and transmission speed based on the transmission history so that the transmission status can be checked.

[0096] The communication unit can estimate the pet's emotion and select a communication protocol based on the emotion. The communication unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the communication unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The communication unit can also analyze the pet's voice to estimate the emotion. For example, the communication unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The communication unit can also analyze the pet's biometric data to estimate the emotion. For example, the communication unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This enables more appropriate data transmission by selecting a communication protocol according to the pet's emotion. For example, if the pet is excited, the communication unit can select a high-speed communication protocol. If the pet is relaxed, the communication unit can select a low-speed communication protocol. If the pet is stressed, the communication unit can select a medium-speed communication protocol.

[0097] The communication unit can be provided with a Wi-Fi communication function, enabling data transmission over a wide area. The communication unit, for example, uses the Wi-Fi communication function to transmit data over a wide area. For example, the communication unit automatically switches to Wi-Fi communication in an environment where Wi-Fi communication is available. The communication unit can also check the connection status of Wi-Fi communication and perform optimal transmission. This enables data transmission over a wide area using the Wi-Fi communication function. For example, the communication unit uses the Wi-Fi communication function to transmit data over a wide area. For example, the communication unit automatically switches to Wi-Fi communication in an environment where Wi-Fi communication is available and transmits data over a wide area. Furthermore, the communication unit can check the connection status of Wi-Fi communication and perform optimal transmission, enabling data transmission over a wide area.

[0098] The communication unit has an added function of being able to set multiple data destinations, and can transmit data to multiple devices simultaneously. The communication unit, for example, sets multiple data destinations and transmits data simultaneously. For example, the communication unit sets a transmission frequency and a transmission speed for each destination. The communication unit can also check whether the destination device is in a state where it can receive data. This makes it easier to share data by transmitting data to multiple devices simultaneously. For example, the communication unit sets multiple data destinations and transmits data simultaneously. The communication unit can set a transmission frequency and a transmission speed for each destination and transmit data to multiple devices simultaneously. Furthermore, the communication unit can check whether the destination device is in a state where it can receive data and transmit data to multiple devices simultaneously, making it easier to share data.

[0099] The communication unit adds a function that can set data transmission priorities, and can transmit important data with priority. The communication unit, for example, makes a setting to transmit important data with priority. For example, the communication unit sets the transmission priority according to the importance of the data. The communication unit can also automatically adjust the data transmission order based on the transmission priority. This allows important data to be transmitted with priority, thereby improving data transmission efficiency. For example, the communication unit makes a setting to transmit important data with priority, thereby improving data transmission efficiency. The communication unit can set the transmission priority according to the importance of the data, thereby transmitting important data with priority. Furthermore, the communication unit can automatically adjust the data transmission order based on the transmission priority, thereby transmitting important data with priority, thereby improving data transmission efficiency.

[0100] The advice unit can estimate the pet's emotions and adjust the health management advice content based on the emotions. The advice unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the advice unit uses a camera to capture the pet's facial expression and estimate the emotion using an emotion estimation algorithm. The advice unit can also analyze the pet's voice to estimate the emotion. For example, the advice unit uses a microphone to record the pet's voice and estimate the emotion using an audio analysis algorithm. The advice unit can also analyze the pet's biometric data to estimate the emotion. For example, the advice unit measures the heart rate and electrodermal activity and estimates the emotion using an emotion estimation algorithm. This enables more appropriate health management by adjusting the advice content according to the pet's emotions. For example, if the pet is excited, the advice unit can provide advice to relax. If the pet is relaxed, the advice unit can provide advice to maintain health. If the pet is stressed, the advice unit can provide advice to reduce stress.

[0101] The advice unit can add a function to improve the accuracy of advice by referring to the pet's past health data. The advice unit, for example, evaluates the pet's current health condition based on the pet's past health data. For example, the advice unit refers to the past data to provide appropriate health management advice. The advice unit can also analyze trends in the health data and predict future health risks. This improves the accuracy of advice by referring to the past health data. For example, the advice unit evaluates the pet's current health condition based on the pet's past health data. The advice unit can also provide appropriate health management advice by referring to the past data. Furthermore, the advice unit can improve the accuracy of advice by analyzing trends in the health data and predicting future health risks.

[0102] The advice unit can be added with a function of providing advice customized based on the pet's living environment. The advice unit provides advice based on, for example, the pet's living environment (indoors, outdoors, etc.). For example, the advice unit provides advice on the amount of exercise and diet according to the living environment. The advice unit can also provide health management advice that corresponds to changes in the living environment. By providing advice based on the living environment, more appropriate health management is possible. For example, the advice unit provides advice based on the pet's living environment (indoors, outdoors, etc.). The advice unit can also provide advice on the amount of exercise and diet according to the living environment. Furthermore, by providing health management advice that corresponds to changes in the living environment, more appropriate health management is possible.

[0103] The advice unit can add a function to improve the advice content by reflecting feedback from the pet owner. The advice unit, for example, collects feedback from the owner and improves the advice content. For example, the advice unit improves the accuracy of the advice based on the feedback. The advice unit can also provide customized advice that reflects the owner's opinions. In this way, the advice content becomes more appropriate by reflecting the owner's feedback. For example, the advice unit collects feedback from the owner and improves the advice content. The advice unit can improve the accuracy of the advice based on the feedback. In addition, the advice unit can provide customized advice that reflects the owner's opinions, making the advice content more appropriate.

[0104] The advice unit can estimate the pet's emotions and determine the priority of advice based on the emotions. The advice unit, for example, recognizes the pet's facial expression to estimate the emotion. For example, the advice unit can capture the pet's facial expression using a camera and estimate the emotion using an emotion estimation algorithm. The advice unit can also analyze the pet's voice to estimate the emotion. For example, the advice unit can record the pet's voice using a microphone and estimate the emotion using an audio analysis algorithm. The advice unit can also analyze the pet's biometric data to estimate the emotion. For example, the advice unit can measure the heart rate and electrodermal activity and estimate the emotion using an emotion estimation algorithm. This enables more appropriate health management by determining the priority of advice according to the pet's emotions. For example, if the pet is excited, the advice unit can prioritize advice to relax. If the pet is relaxed, the advice unit can prioritize advice to maintain health. If the pet is stressed, the advice unit can prioritize advice to reduce stress.

[0105] The advice unit can be added with a function of providing advice regarding dietary management of a pet. The advice unit provides appropriate dietary management advice based on, for example, the amount of food intake of the pet. For example, the advice unit provides advice taking into consideration the nutritional balance of meals. The advice unit can also provide advice regarding the timing and frequency of meals. In this way, by providing advice regarding dietary management, pet health management becomes more effective. For example, the advice unit provides appropriate dietary management advice based on the amount of food intake of the pet. The advice unit can also provide advice taking into consideration the nutritional balance of meals. Furthermore, by providing advice regarding the timing and frequency of meals, pet health management becomes more effective.

[0106] The advice unit can be added with a function of providing advice regarding pet exercise management. The advice unit provides appropriate exercise management advice based on, for example, the amount of exercise the pet gets. For example, the advice unit provides advice regarding the type and frequency of exercise. The advice unit can also provide advice for maximizing the effects of exercise. By providing advice regarding exercise management, pet health management becomes more effective. For example, the advice unit provides appropriate exercise management advice based on the amount of exercise the pet gets. The advice unit can also provide advice regarding the type and frequency of exercise. Furthermore, by providing advice for maximizing the effects of exercise, pet health management becomes more effective.

[0107] The advice unit can be added with a function of providing advice regarding stress management for pets. The advice unit provides appropriate stress management advice based on, for example, the stress level of the pet. For example, the advice unit provides advice on improving the environment to reduce stress. The advice unit can also provide advice regarding how to deal with stress when the pet feels stressed. By providing advice regarding stress management, pet health management becomes more effective. For example, the advice unit provides appropriate stress management advice based on the stress level of the pet. The advice unit can also provide advice on improving the environment to reduce stress. Furthermore, the advice unit can provide advice regarding how to deal with stress when the pet feels stressed, thereby making pet health management more effective. === Hard Collateral 1-1 === Each of the multiple elements including the sensor unit, storage unit, communication unit, and advice unit described above is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the sensor unit acquires internal body information of the pet using the camera 42 and microphone 38B of the smart device 14, and processes the information by the control unit 46A. The storage unit stores the data in, for example, the database 24 of the data processing device 12. The communication unit transmits the data using, for example, the communication I / F 44 of the smart device 14. The advice unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and provides health management advice based on the internal body information of the pet. === Hard Collateral 1-2 === Each of the multiple elements including the sensor unit, storage unit, communication unit, and advice unit described above is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the sensor unit acquires the pet's internal body information using the camera 42 and microphone 238 of the smart glasses 214, and processes the information using the control unit 46A. The storage unit stores the data in, for example, the database 24 of the data processing device 12. The communication unit transmits the data using, for example, the communication I / F 44 of the smart glasses 214. The advice unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and provides health management advice based on the pet's internal body information. === Hard Collateral 1-3 === Each of the multiple elements including the sensor unit, storage unit, communication unit, and advice unit described above is realized, for example, by at least one of the headset type terminal 314 and the data processing device 12. For example, the sensor unit acquires internal body information of the pet using the camera 42 and microphone 238 of the headset type terminal 314, and processes the information by the control unit 46A. The storage unit stores the data in the database 24 of the data processing device 12, for example. The communication unit transmits the data using the communication I / F 44 of the headset type terminal 314, for example. The advice unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and provides health management advice based on the internal body information of the pet. === Hard Collateral 1-4 === Each of the multiple elements including the sensor unit, storage unit, communication unit, and advice unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the sensor unit acquires internal body information of the pet using the camera 42 and microphone 238 of the robot 414, and processes the information by the control unit 46A. The storage unit stores the data in, for example, the database 24 of the data processing device 12. The communication unit transmits the data using, for example, the communication I / F 44 of the robot 414. The advice unit is realized, for example, by the specific processing unit 290 of the data processing device 12, and provides health management advice based on the internal body information of the pet.

[0108] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0109] The sensor unit can acquire not only internal pet information but also environmental information. For example, the sensor unit can measure the temperature around the pet using a temperature sensor, the humidity sensor can measure the ambient humidity, and the light sensor can measure the ambient brightness. This allows for more comprehensive health management by combining internal pet information with environmental information. For example, if a pet's body temperature is high, high ambient temperature may be the cause, and cooling methods can be suggested. Also, if a pet is not exercising much, low ambient brightness may be the cause, and advice can be given to encourage exercise in well-lit areas. Furthermore, if a pet's stress level is high, high ambient humidity may be the cause, and methods to adjust humidity can be suggested.

[0110] The sensor unit can not only acquire internal information about the pet, but also have the ability to learn the pet's behavioral patterns. For example, the sensor unit can analyze the pet's walking pattern and detect abnormal walking. The sensor unit can also analyze the pet's eating pattern and detect changes in food intake. Furthermore, the sensor unit can analyze the pet's sleeping pattern and evaluate the quality of sleep. By learning the pet's behavioral patterns, abnormalities can be detected early and appropriate measures can be taken. For example, if the pet's walking pattern is abnormal, joint problems can be suspected and a veterinary consultation can be recommended. Furthermore, if the eating pattern is variable, digestive problems can be suspected and a review of the pet's diet can be suggested. Furthermore, if the sleep pattern is abnormal, stress or health issues can be suspected and relaxation methods can be suggested.

[0111] The storage unit may have a function for selecting a plurality of data storage formats. For example, the storage unit may store data in text format. The storage unit may also store data in graph format. The storage unit may also store data in audio format. This makes it more convenient to use data by selecting the data storage format. For example, the storage unit may allow easy search of data stored in text format. The storage unit may also allow visual confirmation of data stored in graph format. The storage unit may also allow audible confirmation of data stored in audio format.

[0112] The communication unit may have a function that allows customization of the data transmission destination. For example, the communication unit may not only send data to the owner's smartphone, but also to a veterinarian's system. The communication unit may also store data in the cloud so that it can be accessed from multiple devices. Furthermore, the communication unit may send data to a pet health management service so that expert advice can be received. This allows customization of the data transmission destination to enable more effective health management. For example, the communication unit may send data to the owner's smartphone to support daily health management. It may also send data to a veterinarian's system so that expert diagnosis can be received. Furthermore, storing data in the cloud so that it can be accessed from multiple devices makes data use more convenient.

[0113] The advice unit can provide preventive medical advice based on the pet's health data. For example, the advice unit can analyze the pet's body temperature and pulse data to support early detection of illness. The advice unit can also support the prevention of lifestyle-related diseases based on the pet's exercise and food intake data. Furthermore, the advice unit can support mental health care based on the pet's stress level data. This makes it easier to maintain the pet's health by providing preventive medical advice. For example, the advice unit can suggest regular health checks based on the body temperature and pulse data. The advice unit can also suggest balanced lifestyle habits based on the exercise and food intake data. Furthermore, the pet's mental health can be cared for by suggesting relaxation methods based on the stress level data.

[0114] The sensor unit can estimate the pet's emotions and provide health management advice based on those emotions. For example, the sensor unit can recognize the pet's facial expressions to estimate its emotions and suggest relaxation methods if the pet is feeling stressed. The sensor unit can also analyze the pet's voice to estimate its emotions and suggest methods to calm the pet if it is excited. The sensor unit can also analyze the pet's biometric data to estimate its emotions and provide health maintenance advice if the pet is relaxed. This enables more effective health management by providing advice based on the pet's emotions. For example, the sensor unit can recognize the pet's facial expressions to estimate its emotions and suggest relaxation methods if the pet is feeling stressed. The sensor unit can also analyze the pet's voice to estimate its emotions and suggest methods to calm the pet if it is excited. The sensor unit can also analyze the pet's biometric data to estimate its emotions and provide health maintenance advice if the pet is relaxed.

[0115] The storage unit can estimate the pet's emotions and adjust the data storage frequency based on the emotions. For example, the storage unit can recognize the pet's facial expressions to estimate the emotions, and increase the data storage frequency if the pet is excited. The storage unit can also analyze the pet's voice to estimate the emotions, and decrease the data storage frequency if the pet is relaxed. Furthermore, the storage unit can analyze the pet's biometric data to estimate the emotions, and set the data storage frequency to a medium level if the pet is stressed. This enables more appropriate data management by adjusting the data storage frequency according to the pet's emotions. For example, the storage unit can recognize the pet's facial expressions to estimate the emotions, and increase the data storage frequency if the pet is excited. Furthermore, the storage unit can analyze the pet's voice to estimate the emotions, and decrease the data storage frequency if the pet is relaxed. Furthermore, the storage unit can analyze the pet's biometric data to estimate the emotions, and set the data storage frequency to a medium level if the pet is stressed.

[0116] The communication unit can estimate the pet's emotions and adjust the communication frequency based on the emotions. For example, the communication unit can recognize the pet's facial expressions to estimate the emotions, and increase the communication frequency if the pet is excited. The communication unit can also analyze the pet's voice to estimate the emotions, and decrease the communication frequency if the pet is relaxed. Furthermore, the communication unit can analyze the pet's biometric data to estimate the emotions, and set the communication frequency to a medium level if the pet is stressed. This allows for more appropriate data transmission by adjusting the communication frequency according to the pet's emotions. For example, the communication unit can recognize the pet's facial expressions to estimate the emotions, and increase the communication frequency if the pet is excited. Furthermore, the communication unit can analyze the pet's voice to estimate the emotions, and decrease the communication frequency if the pet is relaxed. Furthermore, the communication unit can analyze the pet's biometric data to estimate the emotions, and set the communication frequency to a medium level if the pet is stressed.

[0117] The advice unit can estimate the pet's emotions and adjust the health management advice content based on the emotions. For example, the advice unit can recognize the pet's facial expressions to estimate the emotions and suggest relaxation methods if the pet is feeling stressed. The advice unit can also analyze the pet's voice to estimate the emotions and suggest methods to calm the pet if the pet is excited. The advice unit can also analyze the pet's biometric data to estimate the emotions and provide advice for maintaining health if the pet is relaxed. This enables more effective health management by providing advice based on the pet's emotions. For example, the advice unit can recognize the pet's facial expressions to estimate the emotions and suggest relaxation methods if the pet is feeling stressed. The advice unit can also analyze the pet's voice to estimate the emotions and suggest methods to calm the pet if the pet is excited. The advice unit can also analyze the pet's biometric data to estimate the emotions and provide advice for maintaining health if the pet is relaxed.

[0118] The advice unit can estimate the pet's emotions and determine the priority of advice based on the emotions. For example, the advice unit can recognize the pet's facial expression to estimate the emotions, and prioritize advice to relax if the pet is excited. The advice unit can also analyze the pet's voice to estimate the emotions, and prioritize advice to maintain health if the pet is relaxed. Furthermore, the advice unit can analyze the pet's biometric data to estimate the emotions, and prioritize advice to reduce stress if the pet is stressed. This enables more appropriate health management by determining the priority of advice based on the pet's emotions. For example, the advice unit can recognize the pet's facial expression to estimate the emotions, and prioritize advice to relax if the pet is excited. Furthermore, the advice unit can analyze the pet's voice to estimate the emotions, and prioritize advice to maintain health if the pet is relaxed. Furthermore, the advice unit can analyze the pet's biometric data to estimate the emotions, and prioritize advice to reduce stress if the pet is stressed.

[0119] The processing flow of the second embodiment will be briefly explained below.

[0120] Step 1: The sensor unit acquires internal information about the pet. The internal information about the pet includes, for example, body temperature, pulse rate, blood data, and amount of exercise. The sensor unit measures this data using a body temperature sensor, pulse rate sensor, blood data sensor, and amount of exercise sensor. Step 2: The storage unit stores the data acquired by the sensor unit. The storage unit stores the data in a database or file format, and can also encrypt and store the data as needed. Step 3: The communication unit transmits the data stored in the storage unit to the smartphone using a communication method such as Bluetooth, NFC, or Wi-Fi. Step 4: The advice unit provides health management advice based on the data sent by the communication unit. The advice unit provides dietary guidance, exercise guidance, and stress management advice based on internal body information. For example, if the pet's body temperature is high, it will suggest cooling methods, if the pet is not getting enough exercise, it will provide advice to encourage exercise, and if there are any abnormalities in the blood data, it will recommend a visit to a veterinarian.

[0121] 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.

[0122] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of 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.

[0123] 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.

[0124] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0125] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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).

[0131] 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.

[0132] 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.

[0133] 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.

[0134] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0135] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0136] 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.

[0137] 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.

[0138] 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 AI 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.

[0139] 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.

[0140] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0141] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0142] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[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 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.

[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 (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).

[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] 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.

[0149] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0150] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0151] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

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

[0153] The specific processing unit 290 transmits the result of the specific processing to the 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.

[0154] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt 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 AI 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.

[0155] 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.

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

[0157] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0158] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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).

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0168] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0169] 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.

[0170] 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.

[0171] 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 AI 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.

[0172] 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.

[0173] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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).

[0178] 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 "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0179] 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."

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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.

[0185] 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.

[0186] 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.

[0187] 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.

[0188] 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.

[0189] 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.

[0190] 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.

[0191] 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.

[0192] [Explanation of symbols]

[0193] 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 sensor unit for acquiring in-vivo information; a storage unit that stores data acquired by the sensor unit; a communication unit that transmits the data stored in the storage unit to a smartphone; an advice unit that provides health care advice based on the data transmitted by the communication unit; Equipped with A system characterized by:

2. The sensor unit Includes body temperature sensor, pulse sensor, blood data sensor, and movement sensor 2. The system of claim 1.

3. The storage unit Encrypt and store data 2. The system of claim 1.

4. The communication unit Use Bluetooth or NFC wireless communication technology 2. The system of claim 1.

5. The advice unit Providing health management advice based on body information 2. The system of claim 1.

6. The advice unit Includes customization features based on pet type and age 2. The system of claim 1.

7. The storage unit Includes authentication features to prevent unauthorized access to data 2. The system of claim 1.

8. The sensor unit Estimate your pet's emotions and adjust the frequency of temperature and pulse measurements based on those emotions 2. The system of claim 1.

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