system

Abstract

The system according to the embodiment aims to efficiently manage the daily care and behavioral observation of pets and to respond quickly in emergencies. [Solution] A system according to an embodiment includes a schedule management unit, a monitoring unit, an environment management unit, a safety management unit, and an emergency contact unit. The schedule management unit manages the daily care of a pet. The monitoring unit monitors the pet's behavior based on a schedule set by the schedule management unit. The environment management unit provides an environment for the pet based on data monitored by the monitoring unit. The safety management unit ensures the protection of the pet based on environmental data provided by the environment management unit. The emergency contact unit provides contact information based on an emergency detected by the safety management unit.

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 technologies have had the problem of making it difficult to efficiently manage daily pet care and behavioral observation, and to respond quickly in emergencies.

[0005] The system according to the embodiment aims to efficiently manage the daily care and behavioral observation of pets and to respond quickly in emergencies. [Means for solving the problem]

[0006] The system according to the embodiment includes a schedule management unit, a monitoring unit, an environment management unit, a safety management unit, and an emergency contact unit. The schedule management unit manages daily care of the pet. The monitoring unit monitors the pet's behavior based on the schedule set by the schedule management unit. The environment management unit provides an environment for the pet based on data monitored by the monitoring unit. The safety management unit ensures the protection of the pet based on the environmental data provided by the environment management unit. The emergency contact unit provides contact information based on an emergency detected by the safety management unit. [Effects of the Invention]

[0007] The system according to the embodiment efficiently manages daily care and behavioral observation of pets and can respond quickly in emergencies. [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 care system according to an embodiment of the present invention supports daily pet care and behavioral monitoring, and provides reports and advice to pet owners. This pet care system aims to ensure the health and safety of pets and increase pet owners' peace of mind. To support daily pet care, the pet care system provides a pet schedule management function. For example, it can set meal times, walk times, and toilet times, and send reminders to the owner. Second, it provides a pet behavior monitoring function. The system uses cameras and sensors to monitor pet behavior and notifies the owner if abnormal behavior is detected. Furthermore, it also provides functions for providing a comfortable environment for pets. For example, it monitors room temperature and humidity and provides advice on maintaining an appropriate environment. Safety functions are also important. The system notifies the owner if the pet approaches a dangerous location or goes outside. Finally, it also provides emergency contact information. If the pet requires emergency medical care, the system provides the owner with the nearest veterinary clinic and emergency contact information. This allows the pet care system to support daily pet care and behavioral observation, and provide reports and advice to owners, ensuring the health and safety of pets and increasing owners' peace of mind.

[0029] A pet care system according to an embodiment includes a schedule management unit, a monitoring unit, an environment management unit, a safety management unit, and an emergency contact unit. The schedule management unit manages daily care for a pet. For example, it sets meal times, walk times, and toilet times for the pet and sends reminders to the owner. The monitoring unit monitors the pet's behavior using cameras and sensors and detects abnormalities. For example, the monitoring unit analyzes the pet's behavioral patterns and detects abnormal behavior. The environment management unit monitors room temperature and humidity and provides advice on maintaining an appropriate environment. For example, the environment management unit advises the owner to use air conditioning if the room temperature is too high. The safety management unit notifies the owner if the pet approaches a dangerous location or goes outside. For example, the safety management unit issues an alert if the pet approaches a road. The emergency contact unit provides information about the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care. For example, the emergency contact unit provides information about the nearest veterinary clinic if the pet suddenly becomes ill. As a result, the pet care system of the embodiment supports the daily care and behavioral observation of pets, and provides reports and advice to owners, thereby ensuring the health and safety of pets and increasing the owner's sense of security.

[0030] The schedule management unit can set meal times, walking times, and toilet times for a pet and send reminders to the owner. For example, the schedule management unit sets meal times for a pet and sends reminders to the owner. For example, the schedule management unit sets meal times for a pet at the same time every day and notifies the owner. The schedule management unit can also set walking times for a pet and send reminders to the owner. For example, the schedule management unit sets walking times for a pet in the morning and evening and notifies the owner. The schedule management unit can also set toilet times for a pet and send reminders to the owner. For example, the schedule management unit sets toilet times for a pet after meals and notifies the owner. This makes it easier to manage a pet's schedule and enables the owner to care for their pet at the appropriate times.

[0031] The monitoring unit can monitor the pet's behavior using a camera or a sensor and detect abnormalities. The monitoring unit, for example, monitors the pet's behavior using a camera. For example, the monitoring unit monitors the pet's behavior 24 hours a day and detects abnormal behavior. The monitoring unit can also monitor the pet's behavior using a sensor. For example, the monitoring unit is installed with a sensor that detects the pet's movements and detects abnormal movements. Furthermore, the monitoring unit can monitor the pet's behavior by combining a camera and a sensor. For example, the monitoring unit monitors the pet's behavior with a camera and detects the pet's movements with a sensor. This makes it possible to detect abnormal behavior of the pet early and notify the owner, thereby ensuring the health and safety of the pet.

[0032] The environment management unit may monitor room temperature or humidity and provide advice for maintaining an appropriate environment. For example, the environment management unit may monitor room temperature and provide advice for maintaining an appropriate temperature. For example, the environment management unit may advise using air conditioning if the room temperature is too high. The environment management unit may also monitor humidity and provide advice for maintaining an appropriate humidity. For example, the environment management unit may advise using a humidifier if the humidity is too low. Furthermore, the environment management unit may monitor room temperature and humidity in combination and provide advice for maintaining an appropriate environment. For example, the environment management unit may provide advice for maintaining an optimal environment based on room temperature and humidity data. This makes it possible to maintain a comfortable environment for pets and support their health.

[0033] The safety management unit can notify the owner when the pet approaches a dangerous place or goes outside. For example, the safety management unit notifies the owner when the pet approaches a road. For example, the safety management unit detects that the pet has approached a road and issues a warning to the owner. The safety management unit can also notify the owner when the pet climbs to a high place. For example, the safety management unit detects that the pet has climbed to a high place and issues a warning to the owner. The safety management unit can also notify the owner when the pet approaches a dangerous object. For example, the safety management unit detects that the pet has approached an electrical appliance and issues a warning to the owner. This ensures the safety of the pet and provides the owner with a sense of security.

[0034] The emergency contact unit can provide the nearest veterinary clinic or emergency contact information if the pet requires emergency medical care. For example, the emergency contact unit provides the contact information of the nearest veterinary clinic if the pet suddenly falls ill. For example, the emergency contact unit monitors the pet's health condition and provides the contact information of the nearest veterinary clinic if an abnormality is detected. The emergency contact unit can also provide emergency contact information if the pet has an accident. For example, the emergency contact unit detects that the pet has had an accident and provides the emergency contact information to the owner. The emergency contact unit can also provide emergency contact information if the pet has escaped. For example, the emergency contact unit detects that the pet has escaped and provides the emergency contact information to the owner. This enables a quick response in an emergency and ensures the health and safety of the pet.

[0035] The schedule management unit can analyze past behavioral data of a pet and automatically generate an optimal schedule. The schedule management unit, for example, analyzes past mealtimes of a pet and automatically generates an optimal meal schedule. For example, the schedule management unit collects past mealtime data of a pet and sets optimal mealtimes. The schedule management unit can also analyze past walking times of a pet and automatically generate an optimal walking schedule. For example, the schedule management unit collects past walking time data of a pet and sets optimal walking times. The schedule management unit can also analyze past toilet time of a pet and automatically generate an optimal toilet schedule. For example, the schedule management unit collects past toilet time data of a pet and sets optimal toilet times. In this way, by generating an optimal schedule based on past behavioral data of a pet, the health and comfort of the pet can be improved.

[0036] The schedule management unit can dynamically adjust meal and exercise schedules based on the pet's health condition. The schedule management unit dynamically adjusts the amount and time of meals based on, for example, the pet's weight data. For example, if the pet is gaining weight, the schedule management unit reduces the amount of food and adjusts the meal times. The schedule management unit can also dynamically adjust the time and frequency of exercise based on the pet's activity data. For example, if the pet is not very active, the schedule management unit increases the time and frequency of exercise. Furthermore, the schedule management unit can dynamically adjust the schedule according to a specific health condition based on the pet's health check data. For example, if the pet is in a specific health condition, the schedule management unit sets a meal and exercise schedule according to that condition. In this way, the pet's health can be maintained by adjusting the schedule according to the pet's health condition.

[0037] When managing a pet's schedule, the schedule management unit can propose an optimal schedule taking into account the owner's daily rhythm. The schedule management unit, for example, considers the owner's work schedule to adjust the pet's meal and walk times. For example, the schedule management unit collects the owner's work schedule and optimally sets the pet's meal and walk times. The schedule management unit can also adjust the pet's toilet time taking into account the owner's sleep pattern. For example, the schedule management unit collects the owner's sleep pattern and optimally sets the pet's toilet time. The schedule management unit can also adjust the pet's activity time taking into account the owner's holiday schedule. For example, the schedule management unit collects the owner's holiday schedule and optimally sets the pet's activity time. In this way, pet care can be more efficiently carried out by proposing a schedule that matches the owner's daily rhythm.

[0038] The schedule management unit can provide a function for synchronizing a pet's schedule with the schedules of other pets when managing the pet's schedule. For example, if there are multiple pets, the schedule management unit synchronizes the meal times of all pets. For example, the schedule management unit sets the meal times of multiple pets to the same time and notifies the owner. Furthermore, if there are multiple pets, the schedule management unit can also synchronize the walking times of all pets. For example, the schedule management unit sets the walking times of multiple pets to the same time and notifies the owner. Furthermore, if there are multiple pets, the schedule management unit can also synchronize the toilet times of all pets. For example, the schedule management unit sets the toilet times of multiple pets to the same time and notifies the owner. In this way, synchronizing the schedules of multiple pets makes it easier for the owner to manage the pets.

[0039] The monitoring unit can analyze the behavioral data of the pet in real time and detect abnormal behavior at an early stage. The monitoring unit, for example, analyzes the movement patterns of the pet in real time and detects abnormal behavior at an early stage. For example, the monitoring unit collects the movement patterns of the pet and analyzes them in real time. The monitoring unit can also analyze the eating behavior of the pet in real time and detect abnormal eating patterns at an early stage. For example, the monitoring unit collects the eating behavior data of the pet and analyzes it in real time. The monitoring unit can also analyze the sleeping behavior of the pet in real time and detect abnormal sleeping patterns at an early stage. For example, the monitoring unit collects the sleeping behavior data of the pet and analyzes it in real time. This makes it possible to detect abnormal behavior of the pet at an early stage and respond quickly, thereby ensuring the health and safety of the pet.

[0040] The monitoring unit can learn the behavioral patterns of the pet and predict abnormal behavior. The monitoring unit predicts abnormal behavior, for example, based on past behavioral data of the pet. For example, the monitoring unit collects past behavioral data of the pet and predicts abnormal behavior. The monitoring unit can also predict abnormal behavior based on the pet's health condition. For example, the monitoring unit collects health condition data of the pet and predicts abnormal behavior. The monitoring unit can also predict abnormal behavior based on environmental data of the pet. For example, the monitoring unit collects environmental data of the pet and predicts abnormal behavior. In this way, by learning the behavioral patterns of the pet, abnormal behavior can be predicted and an early response can be made.

[0041] When monitoring a pet's behavior, the monitoring unit can detect abnormal behavior by taking into account interactions with other pets and environmental factors. The monitoring unit, for example, detects abnormal behavior by taking into account interactions with other pets. For example, the monitoring unit collects behavioral data of multiple pets and analyzes the interactions. The monitoring unit can also detect abnormal behavior by taking into account environmental factors (temperature, humidity, etc.). For example, the monitoring unit collects environmental data and detects abnormal behavior. Furthermore, the monitoring unit can also detect abnormal behavior by taking into account the pet's health condition. For example, the monitoring unit collects health condition data of the pet and detects abnormal behavior. This improves the accuracy of detecting abnormal behavior by taking into account other pets and environmental factors.

[0042] When monitoring the pet's behavior, the monitoring unit can cooperate with the owner's smartphone or wearable device to provide notifications. The monitoring unit, for example, sends a notification of abnormal behavior to the owner's smartphone. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's smartphone. The monitoring unit can also send a notification of abnormal behavior to the owner's wearable device. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's wearable device. Furthermore, the monitoring unit can cooperate with the owner's smart home system to provide notifications of abnormal behavior. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's smart home system. In this way, by cooperating with the owner's smartphone or wearable device, notifications of abnormal behavior can be made quickly.

[0043] The environmental management unit can analyze room temperature and humidity data in real time and automatically adjust the environment to an optimum level. The environmental management unit, for example, analyzes room temperature data in real time and automatically adjusts the temperature to an optimum level. For example, the environmental management unit collects room temperature data and analyzes it in real time. The environmental management unit can also analyze humidity data in real time and automatically adjust the humidity to an optimum level. For example, the environmental management unit collects humidity data and analyzes it in real time. The environmental management unit can also combine and analyze room temperature and humidity data and automatically adjust the environment to an optimum level. For example, the environmental management unit collects room temperature and humidity data and analyzes it in real time. This allows the room temperature and humidity to be analyzed in real time and the environment to be automatically adjusted to an optimum level, thereby maintaining the comfort of the pet.

[0044] The environment management unit can dynamically change the environment settings based on the health condition of the pet. The environment management unit dynamically changes the room temperature based on, for example, the body temperature data of the pet. For example, the environment management unit collects the body temperature data of the pet and adjusts the room temperature. The environment management unit can also dynamically change the humidity based on the breathing data of the pet. For example, the environment management unit collects the breathing data of the pet and adjusts the humidity. Furthermore, the environment management unit can dynamically change the environment settings based on the activity data of the pet. For example, the environment management unit collects the activity data of the pet and adjusts the environment settings. In this way, the health of the pet can be maintained by dynamically changing the environment settings according to the health condition of the pet.

[0045] The environment management unit can provide optimal environment settings according to the type and age of the pet during environment management. For example, the environment management unit provides an active environment setting for a young pet. For example, the environment management unit collects activity data of a young pet and provides the optimal environment setting. The environment management unit can also provide a quiet and comfortable environment setting for an elderly pet. For example, the environment management unit collects health condition data of an elderly pet and provides the optimal environment setting. Furthermore, the environment management unit can also provide an environment setting suitable for a specific type of pet. For example, the environment management unit collects characteristic data of a specific type of pet and provides the optimal environment setting. In this way, the comfort of the pet can be improved by providing an environment setting according to the type and age of the pet.

[0046] During environmental management, the environmental management unit can provide advice taking into consideration the owner's residential environment and seasonal factors. The environmental management unit, for example, takes into consideration the owner's residential environment (apartment, detached house, etc.) and provides optimal environmental advice. For example, the environmental management unit collects data on the owner's residential environment and provides optimal advice. The environmental management unit can also provide optimal environmental advice taking into consideration seasonal factors (summer, winter, etc.). For example, the environmental management unit collects seasonal factor data and provides optimal advice. Furthermore, the environmental management unit can also provide optimal environmental advice taking into consideration the location of the owner's residence (urban area, suburban area, etc.). For example, the environmental management unit collects location data of the owner's residence and provides optimal advice. In this way, more appropriate environmental advice can be provided by taking into consideration the owner's residential environment and seasonal factors.

[0047] The safety management unit can track the location information of the pet in real time and immediately notify the owner if the pet approaches a dangerous place. For example, the safety management unit notifies the owner in real time if the pet approaches a road. For example, the safety management unit collects the location information of the pet and analyzes it in real time. The safety management unit can also notify the owner in real time if the pet climbs to a high place. For example, the safety management unit collects the location information of the pet and analyzes it in real time. The safety management unit can also notify the owner in real time if the pet approaches a dangerous object. For example, the safety management unit collects the location information of the pet and analyzes it in real time. In this way, by tracking the location information of the pet in real time, it is possible to immediately notify the owner if the pet approaches a dangerous place.

[0048] The safety management unit can learn the behavioral patterns of the pet and predict dangerous behavior. The safety management unit predicts dangerous behavior, for example, based on past behavioral data of the pet. For example, the safety management unit collects past behavioral data of the pet and predicts dangerous behavior. The safety management unit can also predict dangerous behavior based on the health condition of the pet. For example, the safety management unit collects health condition data of the pet and predicts dangerous behavior. Furthermore, the safety management unit can predict dangerous behavior based on environmental data of the pet. For example, the safety management unit collects environmental data of the pet and predicts dangerous behavior. In this way, by learning the behavioral patterns of the pet, dangerous behavior can be predicted and an early response can be taken.

[0049] The safety management unit can provide optimal safety measures according to the type and personality of the pet during safety management. For example, the safety management unit provides safety measures suitable for an active environment to an active pet. For example, the safety management unit collects behavioral data of active pets and provides optimal safety measures. The safety management unit can also provide safety measures suitable for a quiet environment to a docile pet. For example, the safety management unit collects behavioral data of docile pets and provides optimal safety measures. Furthermore, the safety management unit can also provide safety measures suitable for a specific type of pet. For example, the safety management unit collects characteristic data of a specific type of pet and provides optimal safety measures. In this way, the safety of the pet can be ensured by providing safety measures according to the type and personality of the pet.

[0050] During safety management, the safety management unit can cooperate with the owner's smart home system to strengthen safety measures. For example, the safety management unit cooperates with the owner's smart home system to notify the owner if the pet approaches a dangerous location. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. The safety management unit can also cooperate with the owner's smart home system to notify the owner if the pet goes out. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. Furthermore, the safety management unit can cooperate with the owner's smart home system to provide additional measures to ensure the safety of the pet. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. In this way, safety measures are strengthened by cooperation with the owner's smart home system.

[0051] The emergency contact unit can monitor the health condition of the pet in real time and detect emergencies early. The emergency contact unit, for example, monitors the pet's body temperature data in real time and makes an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's body temperature data and analyzes it in real time. The emergency contact unit can also monitor the pet's breathing data in real time and make an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's breathing data and analyzes it in real time. The emergency contact unit can also monitor the pet's activity data in real time and make an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's activity data and analyzes it in real time. In this way, by monitoring the pet's health condition in real time, emergencies can be detected early and responded to quickly.

[0052] The emergency contact unit can refer to the pet's past medical history and automatically select the most appropriate emergency contact. The emergency contact unit, for example, automatically selects the most appropriate veterinary clinic based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects the most appropriate veterinary clinic. The emergency contact unit can also automatically select the most appropriate emergency contact based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects the most appropriate emergency contact. The emergency contact unit can also automatically select a contact for providing the most appropriate medical care based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects a contact for providing the most appropriate medical care. In this way, selecting the most appropriate emergency contact based on the pet's past medical history enables a quick and appropriate response.

[0053] The emergency contact unit can provide the most appropriate contact information in consideration of the owner's current location information when making an emergency contact. The emergency contact unit, for example, provides the nearest veterinary clinic based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the nearest veterinary clinic. The emergency contact unit can also provide the most appropriate emergency contact information based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the most appropriate emergency contact information. The emergency contact unit can also provide contact information for providing the most appropriate medical care based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the contact information for providing the most appropriate medical care. This enables a quick and appropriate response by providing the most appropriate contact information based on the owner's current location information.

[0054] The emergency contact unit can cooperate with the owner's smartphone or wearable device to make a notification in the event of an emergency. The emergency contact unit, for example, sends an emergency contact notification to the owner's smartphone. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's smartphone. The emergency contact unit can also send an emergency contact notification to the owner's wearable device. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's wearable device. Furthermore, the emergency contact unit can cooperate with the owner's smart home system to make an emergency contact notification. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's smart home system. In this way, by cooperating with the owner's smartphone or wearable device, emergency contact notifications can be made quickly.

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

[0056] The pet care system may further include a health management unit that monitors the health of the pet. The health management unit monitors the pet's vital signs, such as body temperature, heart rate, and respiratory rate, in real time and can notify the owner if an abnormality is detected. For example, the health management unit may alert the owner if the pet's body temperature is abnormally high. The health management unit may also alert the owner if the pet's heart rate is abnormally low. The health management unit may also alert the owner if the pet's respiratory rate is abnormally high. This allows the pet's health to be maintained by constantly monitoring the pet's health and detecting abnormalities early.

[0057] The schedule management unit can propose a schedule based on the pet's behavior data according to the pet's preferences and habits. For example, the schedule management unit can detect that the pet is active during a specific time period and set a walking schedule for that time period. The schedule management unit can also detect that the pet prefers a specific food and incorporate that food into the meal schedule. Furthermore, the schedule management unit can detect that the pet prefers to toilet in a specific place and set a toilet time for that place. In this way, the pet's comfort can be improved by proposing a schedule based on the pet's preferences and habits.

[0058] The environmental management unit can dynamically adjust the optimal environmental settings based on the pet's activity data. For example, the environmental management unit adjusts the room temperature to lower when the pet's activity level is high. The environmental management unit can also adjust the room temperature to raise when the pet's activity level is low. Furthermore, the environmental management unit can also adjust the humidity to lower when the pet's activity level is high. In this way, the environmental settings can be dynamically adjusted according to the pet's activity level to maintain the pet's comfort.

[0059] The safety management unit can automatically issue an alert if a pet enters a specific area based on the pet's location information. For example, the safety management unit can notify the owner if the pet enters the kitchen. The safety management unit can also notify the owner if the pet goes out into the yard. Furthermore, the safety management unit can notify the owner if the pet enters a specific room. This allows for immediate action to be taken if the pet enters a dangerous area.

[0060] The emergency contact unit can monitor the health condition of a pet in real time and automatically contact the nearest veterinary hospital if an abnormality is detected. For example, the emergency contact unit will contact the nearest veterinary hospital if the pet's body temperature is abnormally high. The emergency contact unit can also contact the nearest veterinary hospital if the pet's heart rate is abnormally low. Furthermore, the emergency contact unit can also contact the nearest veterinary hospital if the pet's respiratory rate is abnormally high. This allows for a quick response when an abnormality occurs in the pet's health condition.

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

[0062] Step 1: The schedule management section manages the pet's daily care, specifically setting meal times, walk times, and toilet times, and sending reminders to the owner. Step 2: The monitoring unit uses cameras and sensors to monitor the pet's behavior and detect abnormalities. Specifically, it analyzes the pet's behavioral patterns and detects abnormal behavior. Step 3: The Environmental Management Department monitors the room temperature and humidity and provides advice on maintaining an appropriate environment, such as using air conditioning if the room temperature is too high. Step 4: The Safety Management Department will notify owners if their pets approach dangerous areas or go outside. Specifically, it will issue a warning if their pets approach roads. Step 5: The emergency contact department will provide you with the nearest veterinary clinic and emergency contact information in case your pet needs emergency medical care. Specifically, they will provide you with the contact information for the nearest veterinary clinic in case your pet suddenly becomes ill.

[0063] (Example 2) A pet care system according to an embodiment of the present invention supports daily pet care and behavioral monitoring, and provides reports and advice to pet owners. This pet care system aims to ensure the health and safety of pets and increase pet owners' peace of mind. To support daily pet care, the pet care system provides a pet schedule management function. For example, it can set meal times, walk times, and toilet times, and send reminders to the owner. Second, it provides a pet behavior monitoring function. The system uses cameras and sensors to monitor pet behavior and notifies the owner if abnormal behavior is detected. Furthermore, it also provides functions for providing a comfortable environment for pets. For example, it monitors room temperature and humidity and provides advice on maintaining an appropriate environment. Safety functions are also important. The system notifies the owner if the pet approaches a dangerous location or goes outside. Finally, it also provides emergency contact information. If the pet requires emergency medical care, the system provides the owner with the nearest veterinary clinic and emergency contact information. This allows the pet care system to support daily pet care and behavioral observation, and provide reports and advice to owners, ensuring the health and safety of pets and increasing owners' peace of mind.

[0064] A pet care system according to an embodiment includes a schedule management unit, a monitoring unit, an environment management unit, a safety management unit, and an emergency contact unit. The schedule management unit manages daily care for a pet. For example, it sets meal times, walk times, and toilet times for the pet and sends reminders to the owner. The monitoring unit monitors the pet's behavior using cameras and sensors and detects abnormalities. For example, the monitoring unit analyzes the pet's behavioral patterns and detects abnormal behavior. The environment management unit monitors room temperature and humidity and provides advice on maintaining an appropriate environment. For example, the environment management unit advises the owner to use air conditioning if the room temperature is too high. The safety management unit notifies the owner if the pet approaches a dangerous location or goes outside. For example, the safety management unit issues an alert if the pet approaches a road. The emergency contact unit provides information about the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care. For example, the emergency contact unit provides information about the nearest veterinary clinic if the pet suddenly becomes ill. As a result, the pet care system of the embodiment supports the daily care and behavioral observation of pets, and provides reports and advice to owners, thereby ensuring the health and safety of pets and increasing the owner's sense of security.

[0065] The schedule management unit can set meal times, walking times, and toilet times for a pet and send reminders to the owner. For example, the schedule management unit sets meal times for a pet and sends reminders to the owner. For example, the schedule management unit sets meal times for a pet at the same time every day and notifies the owner. The schedule management unit can also set walking times for a pet and send reminders to the owner. For example, the schedule management unit sets walking times for a pet in the morning and evening and notifies the owner. The schedule management unit can also set toilet times for a pet and send reminders to the owner. For example, the schedule management unit sets toilet times for a pet after meals and notifies the owner. This makes it easier to manage a pet's schedule and enables the owner to care for their pet at the appropriate times.

[0066] The monitoring unit can monitor the pet's behavior using a camera or a sensor and detect abnormalities. The monitoring unit, for example, monitors the pet's behavior using a camera. For example, the monitoring unit monitors the pet's behavior 24 hours a day and detects abnormal behavior. The monitoring unit can also monitor the pet's behavior using a sensor. For example, the monitoring unit is installed with a sensor that detects the pet's movements and detects abnormal movements. Furthermore, the monitoring unit can monitor the pet's behavior by combining a camera and a sensor. For example, the monitoring unit monitors the pet's behavior with a camera and detects the pet's movements with a sensor. This makes it possible to detect abnormal behavior of the pet early and notify the owner, thereby ensuring the health and safety of the pet.

[0067] The environment management unit may monitor room temperature or humidity and provide advice for maintaining an appropriate environment. For example, the environment management unit may monitor room temperature and provide advice for maintaining an appropriate temperature. For example, the environment management unit may advise using air conditioning if the room temperature is too high. The environment management unit may also monitor humidity and provide advice for maintaining an appropriate humidity. For example, the environment management unit may advise using a humidifier if the humidity is too low. Furthermore, the environment management unit may monitor room temperature and humidity in combination and provide advice for maintaining an appropriate environment. For example, the environment management unit may provide advice for maintaining an optimal environment based on room temperature and humidity data. This makes it possible to maintain a comfortable environment for pets and support their health.

[0068] The safety management unit can notify the owner when the pet approaches a dangerous place or goes outside. For example, the safety management unit notifies the owner when the pet approaches a road. For example, the safety management unit detects that the pet has approached a road and issues a warning to the owner. The safety management unit can also notify the owner when the pet climbs to a high place. For example, the safety management unit detects that the pet has climbed to a high place and issues a warning to the owner. The safety management unit can also notify the owner when the pet approaches a dangerous object. For example, the safety management unit detects that the pet has approached an electrical appliance and issues a warning to the owner. This ensures the safety of the pet and provides the owner with a sense of security.

[0069] The emergency contact unit can provide the nearest veterinary clinic or emergency contact information if the pet requires emergency medical care. For example, the emergency contact unit provides the contact information of the nearest veterinary clinic if the pet suddenly falls ill. For example, the emergency contact unit monitors the pet's health condition and provides the contact information of the nearest veterinary clinic if an abnormality is detected. The emergency contact unit can also provide emergency contact information if the pet has an accident. For example, the emergency contact unit detects that the pet has had an accident and provides the emergency contact information to the owner. The emergency contact unit can also provide emergency contact information if the pet has escaped. For example, the emergency contact unit detects that the pet has escaped and provides the emergency contact information to the owner. This enables a quick response in an emergency and ensures the health and safety of the pet.

[0070] The schedule management unit can estimate the owner's emotions and adjust the timing of sending reminders based on the estimated owner's emotions. For example, if the owner is feeling stressed, the schedule management unit delays the timing of sending reminders and sends them during a time when the owner is relaxed. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is feeling stressed, it adjusts the timing of sending reminders. Furthermore, if the owner is busy, the schedule management unit can make reminders short and concise and send only important information. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is busy, it can adjust the content of the reminder. Furthermore, if the owner is relaxed, the schedule management unit can make the reminder more detailed and provide additional information regarding pet care. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is relaxed, it can adjust the content of the reminder. This allows the timing of reminder sending to be adjusted according to the owner's emotions, reducing stress for the owner.

[0071] The schedule management unit can analyze past behavioral data of a pet and automatically generate an optimal schedule. The schedule management unit, for example, analyzes past mealtimes of a pet and automatically generates an optimal meal schedule. For example, the schedule management unit collects past mealtime data of a pet and sets optimal mealtimes. The schedule management unit can also analyze past walking times of a pet and automatically generate an optimal walking schedule. For example, the schedule management unit collects past walking time data of a pet and sets optimal walking times. The schedule management unit can also analyze past toilet time of a pet and automatically generate an optimal toilet schedule. For example, the schedule management unit collects past toilet time data of a pet and sets optimal toilet times. In this way, by generating an optimal schedule based on past behavioral data of a pet, the health and comfort of the pet can be improved.

[0072] The schedule management unit can dynamically adjust meal and exercise schedules based on the pet's health condition. The schedule management unit dynamically adjusts the amount and time of meals based on, for example, the pet's weight data. For example, if the pet is gaining weight, the schedule management unit reduces the amount of food and adjusts the meal times. The schedule management unit can also dynamically adjust the time and frequency of exercise based on the pet's activity data. For example, if the pet is not very active, the schedule management unit increases the time and frequency of exercise. Furthermore, the schedule management unit can dynamically adjust the schedule according to a specific health condition based on the pet's health check data. For example, if the pet is in a specific health condition, the schedule management unit sets a meal and exercise schedule according to that condition. In this way, the pet's health can be maintained by adjusting the schedule according to the pet's health condition.

[0073] The schedule management unit can estimate the owner's emotions and customize the content of the reminder based on the estimated owner's emotions. For example, if the owner is feeling stressed, the schedule management unit can simplify the content of the reminder and provide only important information. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is feeling stressed, it can adjust the content of the reminder. Furthermore, if the owner is relaxed, the schedule management unit can make the content of the reminder more detailed and provide additional information regarding pet care. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is relaxed, it can adjust the content of the reminder. Furthermore, if the owner is busy, the schedule management unit can shorten the content of the reminder to enable a quick response. For example, if the schedule management unit estimates the owner's emotions and detects that the owner is busy, it can adjust the content of the reminder. In this way, by customizing the content of the reminder according to the owner's emotions, the owner's stress can be reduced.

[0074] When managing a pet's schedule, the schedule management unit can propose an optimal schedule taking into account the owner's daily rhythm. The schedule management unit, for example, considers the owner's work schedule to adjust the pet's meal and walk times. For example, the schedule management unit collects the owner's work schedule and optimally sets the pet's meal and walk times. The schedule management unit can also adjust the pet's toilet time taking into account the owner's sleep pattern. For example, the schedule management unit collects the owner's sleep pattern and optimally sets the pet's toilet time. The schedule management unit can also adjust the pet's activity time taking into account the owner's holiday schedule. For example, the schedule management unit collects the owner's holiday schedule and optimally sets the pet's activity time. In this way, pet care can be more efficiently carried out by proposing a schedule that matches the owner's daily rhythm.

[0075] The schedule management unit can provide a function for synchronizing a pet's schedule with the schedules of other pets when managing the pet's schedule. For example, if there are multiple pets, the schedule management unit synchronizes the meal times of all pets. For example, the schedule management unit sets the meal times of multiple pets to the same time and notifies the owner. Furthermore, if there are multiple pets, the schedule management unit can also synchronize the walking times of all pets. For example, the schedule management unit sets the walking times of multiple pets to the same time and notifies the owner. Furthermore, if there are multiple pets, the schedule management unit can also synchronize the toilet times of all pets. For example, the schedule management unit sets the toilet times of multiple pets to the same time and notifies the owner. In this way, synchronizing the schedules of multiple pets makes it easier for the owner to manage the pets.

[0076] The monitoring unit can estimate the owner's emotions and adjust the notification method for abnormal behavior based on the estimated owner's emotions. For example, if the owner is feeling stressed, the monitoring unit can simplify the notification of abnormal behavior and provide only important information. For example, the monitoring unit can estimate the owner's emotions and adjust the notification method when it detects that the owner is feeling stressed. The monitoring unit can also make the notification of abnormal behavior more detailed and provide additional information about the pet's behavior when the owner is relaxed. For example, the monitoring unit can estimate the owner's emotions and adjust the notification method when it detects that the owner is relaxed. Furthermore, the monitoring unit can shorten the notification of abnormal behavior when the owner is busy, allowing for a quick response. For example, the monitoring unit can estimate the owner's emotions and adjust the notification method when it detects that the owner is busy. In this way, adjusting the notification method for abnormal behavior according to the owner's emotions can reduce the owner's stress.

[0077] The monitoring unit can analyze the behavioral data of the pet in real time and detect abnormal behavior at an early stage. The monitoring unit, for example, analyzes the movement patterns of the pet in real time and detects abnormal behavior at an early stage. For example, the monitoring unit collects the movement patterns of the pet and analyzes them in real time. The monitoring unit can also analyze the eating behavior of the pet in real time and detect abnormal eating patterns at an early stage. For example, the monitoring unit collects the eating behavior data of the pet and analyzes it in real time. The monitoring unit can also analyze the sleeping behavior of the pet in real time and detect abnormal sleeping patterns at an early stage. For example, the monitoring unit collects the sleeping behavior data of the pet and analyzes it in real time. This makes it possible to detect abnormal behavior of the pet at an early stage and respond quickly, thereby ensuring the health and safety of the pet.

[0078] The monitoring unit can learn the behavioral patterns of the pet and predict abnormal behavior. The monitoring unit predicts abnormal behavior, for example, based on past behavioral data of the pet. For example, the monitoring unit collects past behavioral data of the pet and predicts abnormal behavior. The monitoring unit can also predict abnormal behavior based on the pet's health condition. For example, the monitoring unit collects health condition data of the pet and predicts abnormal behavior. The monitoring unit can also predict abnormal behavior based on environmental data of the pet. For example, the monitoring unit collects environmental data of the pet and predicts abnormal behavior. In this way, by learning the behavioral patterns of the pet, abnormal behavior can be predicted and an early response can be made.

[0079] The monitoring unit can estimate the owner's emotions and adjust the notification frequency for abnormal behavior based on the estimated owner's emotions. For example, if the owner is feeling stressed, the monitoring unit reduces the notification frequency for abnormal behavior and provides only important information. For example, if the monitoring unit estimates the owner's emotions and detects that the owner is feeling stressed, it adjusts the notification frequency. Furthermore, if the owner is relaxed, the monitoring unit can increase the notification frequency for abnormal behavior and provide more detailed information. For example, if the monitoring unit estimates the owner's emotions and detects that the owner is relaxed, it adjusts the notification frequency. Furthermore, if the owner is busy, the monitoring unit can reduce the notification frequency for abnormal behavior to enable a quick response. For example, if the monitoring unit estimates the owner's emotions and detects that the owner is busy, it adjusts the notification frequency. In this way, by adjusting the notification frequency for abnormal behavior according to the owner's emotions, the owner's stress can be reduced.

[0080] When monitoring a pet's behavior, the monitoring unit can detect abnormal behavior by taking into account interactions with other pets and environmental factors. The monitoring unit, for example, detects abnormal behavior by taking into account interactions with other pets. For example, the monitoring unit collects behavioral data of multiple pets and analyzes the interactions. The monitoring unit can also detect abnormal behavior by taking into account environmental factors (temperature, humidity, etc.). For example, the monitoring unit collects environmental data and detects abnormal behavior. Furthermore, the monitoring unit can also detect abnormal behavior by taking into account the pet's health condition. For example, the monitoring unit collects health condition data of the pet and detects abnormal behavior. This improves the accuracy of detecting abnormal behavior by taking into account other pets and environmental factors.

[0081] When monitoring the pet's behavior, the monitoring unit can cooperate with the owner's smartphone or wearable device to provide notifications. The monitoring unit, for example, sends a notification of abnormal behavior to the owner's smartphone. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's smartphone. The monitoring unit can also send a notification of abnormal behavior to the owner's wearable device. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's wearable device. Furthermore, the monitoring unit can cooperate with the owner's smart home system to provide notifications of abnormal behavior. For example, the monitoring unit detects abnormal behavior of the pet and sends a notification to the owner's smart home system. In this way, by cooperating with the owner's smartphone or wearable device, notifications of abnormal behavior can be made quickly.

[0082] The environment management unit can estimate the owner's emotions and adjust the content of the environmental advice based on the estimated owner's emotions. For example, if the owner is feeling stressed, the environment management unit provides concise environmental advice. For example, if the environment management unit estimates the owner's emotions and detects that the owner is feeling stressed, the environment management unit adjusts the content of the advice. The environment management unit can also provide detailed environmental advice if the owner is relaxed. For example, if the environment management unit estimates the owner's emotions and detects that the owner is relaxed, the environment management unit adjusts the content of the advice. Furthermore, if the owner is busy, the environment management unit can provide environmental advice that can be implemented quickly. For example, if the environment management unit estimates the owner's emotions and detects that the owner is busy, the environment management unit adjusts the content of the advice. In this way, by adjusting the content of the environmental advice according to the owner's emotions, the owner's stress can be reduced.

[0083] The environmental management unit can analyze room temperature and humidity data in real time and automatically adjust the environment to an optimum level. The environmental management unit, for example, analyzes room temperature data in real time and automatically adjusts the temperature to an optimum level. For example, the environmental management unit collects room temperature data and analyzes it in real time. The environmental management unit can also analyze humidity data in real time and automatically adjust the humidity to an optimum level. For example, the environmental management unit collects humidity data and analyzes it in real time. The environmental management unit can also combine and analyze room temperature and humidity data and automatically adjust the environment to an optimum level. For example, the environmental management unit collects room temperature and humidity data and analyzes it in real time. This allows the room temperature and humidity to be analyzed in real time and the environment to be automatically adjusted to an optimum level, thereby maintaining the comfort of the pet.

[0084] The environment management unit can dynamically change the environment settings based on the health condition of the pet. The environment management unit dynamically changes the room temperature based on, for example, the body temperature data of the pet. For example, the environment management unit collects the body temperature data of the pet and adjusts the room temperature. The environment management unit can also dynamically change the humidity based on the breathing data of the pet. For example, the environment management unit collects the breathing data of the pet and adjusts the humidity. Furthermore, the environment management unit can dynamically change the environment settings based on the activity data of the pet. For example, the environment management unit collects the activity data of the pet and adjusts the environment settings. In this way, the health of the pet can be maintained by dynamically changing the environment settings according to the health condition of the pet.

[0085] The environment management unit can estimate the owner's emotions and adjust the frequency of environmental advice based on the estimated owner's emotions. For example, if the owner is feeling stressed, the environment management unit reduces the frequency of environmental advice and provides only important information. For example, if the environment management unit estimates the owner's emotions and detects that the owner is feeling stressed, it adjusts the frequency of the advice. Furthermore, if the owner is relaxed, the environment management unit can increase the frequency of environmental advice and provide more detailed information. For example, if the environment management unit estimates the owner's emotions and detects that the owner is relaxed, it adjusts the frequency of the advice. Furthermore, if the owner is busy, the environment management unit can reduce the frequency of environmental advice to enable a quick response. For example, if the environment management unit estimates the owner's emotions and detects that the owner is busy, it adjusts the frequency of the advice. In this way, the owner's stress can be reduced by adjusting the frequency of environmental advice according to the owner's emotions.

[0086] The environment management unit can provide optimal environment settings according to the type and age of the pet during environment management. For example, the environment management unit provides an active environment setting for a young pet. For example, the environment management unit collects activity data of a young pet and provides the optimal environment setting. The environment management unit can also provide a quiet and comfortable environment setting for an elderly pet. For example, the environment management unit collects health condition data of an elderly pet and provides the optimal environment setting. Furthermore, the environment management unit can also provide an environment setting suitable for a specific type of pet. For example, the environment management unit collects characteristic data of a specific type of pet and provides the optimal environment setting. In this way, the comfort of the pet can be improved by providing an environment setting according to the type and age of the pet.

[0087] During environmental management, the environmental management unit can provide advice taking into consideration the owner's residential environment and seasonal factors. The environmental management unit, for example, takes into consideration the owner's residential environment (apartment, detached house, etc.) and provides optimal environmental advice. For example, the environmental management unit collects data on the owner's residential environment and provides optimal advice. The environmental management unit can also provide optimal environmental advice taking into consideration seasonal factors (summer, winter, etc.). For example, the environmental management unit collects seasonal factor data and provides optimal advice. Furthermore, the environmental management unit can also provide optimal environmental advice taking into consideration the location of the owner's residence (urban area, suburban area, etc.). For example, the environmental management unit collects location data of the owner's residence and provides optimal advice. In this way, more appropriate environmental advice can be provided by taking into consideration the owner's residential environment and seasonal factors.

[0088] The safety management unit can estimate the owner's emotions and adjust the method of safety notifications based on the estimated owner's emotions. For example, if the owner is feeling stressed, the safety management unit can simplify the safety notification and provide only important information. For example, if the safety management unit estimates the owner's emotions and detects that the owner is feeling stressed, it can adjust the notification method. Furthermore, if the owner is relaxed, the safety management unit can provide more detailed safety notifications and provide additional information regarding the pet's safety. For example, if the safety management unit estimates the owner's emotions and detects that the owner is relaxed, it can adjust the notification method. Furthermore, if the owner is busy, the safety management unit can shorten the safety notification to enable a quick response. For example, if the safety management unit estimates the owner's emotions and detects that the owner is busy, it can adjust the notification method. In this way, adjusting the method of safety notifications according to the owner's emotions can reduce the owner's stress.

[0089] The safety management unit can track the location information of the pet in real time and immediately notify the owner if the pet approaches a dangerous place. For example, the safety management unit notifies the owner in real time if the pet approaches a road. For example, the safety management unit collects the location information of the pet and analyzes it in real time. The safety management unit can also notify the owner in real time if the pet climbs to a high place. For example, the safety management unit collects the location information of the pet and analyzes it in real time. The safety management unit can also notify the owner in real time if the pet approaches a dangerous object. For example, the safety management unit collects the location information of the pet and analyzes it in real time. In this way, by tracking the location information of the pet in real time, it is possible to immediately notify the owner if the pet approaches a dangerous place.

[0090] The safety management unit can learn the behavioral patterns of the pet and predict dangerous behavior. The safety management unit predicts dangerous behavior, for example, based on past behavioral data of the pet. For example, the safety management unit collects past behavioral data of the pet and predicts dangerous behavior. The safety management unit can also predict dangerous behavior based on the health condition of the pet. For example, the safety management unit collects health condition data of the pet and predicts dangerous behavior. Furthermore, the safety management unit can predict dangerous behavior based on environmental data of the pet. For example, the safety management unit collects environmental data of the pet and predicts dangerous behavior. In this way, by learning the behavioral patterns of the pet, dangerous behavior can be predicted and an early response can be taken.

[0091] The safety management unit can estimate the owner's emotions and adjust the frequency of safety notifications based on the estimated owner's emotions. For example, if the owner is feeling stressed, the safety management unit reduces the frequency of safety notifications and provides only important information. For example, if the safety management unit estimates the owner's emotions and detects that the owner is feeling stressed, it adjusts the notification frequency. Furthermore, if the owner is relaxed, the safety management unit can increase the frequency of safety notifications and provide more detailed information. For example, if the safety management unit estimates the owner's emotions and detects that the owner is relaxed, it adjusts the notification frequency. Furthermore, if the owner is busy, the safety management unit can reduce the frequency of safety notifications to enable a quick response. For example, if the safety management unit estimates the owner's emotions and detects that the owner is busy, it adjusts the notification frequency. In this way, adjusting the frequency of safety notifications according to the owner's emotions can reduce the owner's stress.

[0092] The safety management unit can provide optimal safety measures according to the type and personality of the pet during safety management. For example, the safety management unit provides safety measures suitable for an active environment to an active pet. For example, the safety management unit collects behavioral data of active pets and provides optimal safety measures. The safety management unit can also provide safety measures suitable for a quiet environment to a docile pet. For example, the safety management unit collects behavioral data of docile pets and provides optimal safety measures. Furthermore, the safety management unit can also provide safety measures suitable for a specific type of pet. For example, the safety management unit collects characteristic data of a specific type of pet and provides optimal safety measures. In this way, the safety of the pet can be ensured by providing safety measures according to the type and personality of the pet.

[0093] During safety management, the safety management unit can cooperate with the owner's smart home system to strengthen safety measures. For example, the safety management unit cooperates with the owner's smart home system to notify the owner if the pet approaches a dangerous location. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. The safety management unit can also cooperate with the owner's smart home system to notify the owner if the pet goes out. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. Furthermore, the safety management unit can cooperate with the owner's smart home system to provide additional measures to ensure the safety of the pet. For example, the safety management unit collects location information of the pet and sends a notification to the smart home system. In this way, safety measures are strengthened by cooperation with the owner's smart home system.

[0094] The emergency contact unit can estimate the owner's emotions and adjust the emergency contact method based on the estimated owner's emotions. For example, if the owner is feeling stressed, the emergency contact unit can simplify the emergency contact method and provide only important information. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is feeling stressed, it can adjust the contact method. Furthermore, if the owner is relaxed, the emergency contact unit can make the emergency contact method more detailed and provide additional information regarding the pet's emergency. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is relaxed, it can adjust the contact method. Furthermore, if the owner is busy, the emergency contact unit can shorten the emergency contact method to enable a quicker response. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is busy, it can adjust the contact method. In this way, adjusting the emergency contact method according to the owner's emotions can reduce the owner's stress.

[0095] The emergency contact unit can monitor the health condition of the pet in real time and detect emergencies early. The emergency contact unit, for example, monitors the pet's body temperature data in real time and makes an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's body temperature data and analyzes it in real time. The emergency contact unit can also monitor the pet's breathing data in real time and make an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's breathing data and analyzes it in real time. The emergency contact unit can also monitor the pet's activity data in real time and make an emergency contact if an abnormality is detected. For example, the emergency contact unit collects the pet's activity data and analyzes it in real time. In this way, by monitoring the pet's health condition in real time, emergencies can be detected early and responded to quickly.

[0096] The emergency contact unit can refer to the pet's past medical history and automatically select the most appropriate emergency contact. The emergency contact unit, for example, automatically selects the most appropriate veterinary clinic based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects the most appropriate veterinary clinic. The emergency contact unit can also automatically select the most appropriate emergency contact based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects the most appropriate emergency contact. The emergency contact unit can also automatically select a contact for providing the most appropriate medical care based on the pet's past medical history. For example, the emergency contact unit collects the pet's past medical history data and selects a contact for providing the most appropriate medical care. In this way, selecting the most appropriate emergency contact based on the pet's past medical history enables a quick and appropriate response.

[0097] The emergency contact unit can estimate the owner's emotions and determine the priority of emergency contacts based on the estimated owner's emotions. For example, if the owner is feeling stressed, the emergency contact unit sets the priority of emergency contacts high and responds quickly. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is feeling stressed, it adjusts the priority of the contact. Furthermore, if the owner is relaxed, the emergency contact unit can set the priority of emergency contacts low and provide more detailed information. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is relaxed, it adjusts the priority of the contact. Furthermore, if the owner is busy, the emergency contact unit can set the priority of emergency contacts high and respond quickly. For example, if the emergency contact unit estimates the owner's emotions and detects that the owner is busy, it adjusts the priority of the contact. In this way, by determining the priority of emergency contacts according to the owner's emotions, a quick and appropriate response is possible.

[0098] The emergency contact unit can provide the most appropriate contact information in consideration of the owner's current location information when making an emergency contact. The emergency contact unit, for example, provides the nearest veterinary clinic based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the nearest veterinary clinic. The emergency contact unit can also provide the most appropriate emergency contact information based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the most appropriate emergency contact information. The emergency contact unit can also provide contact information for providing the most appropriate medical care based on the owner's current location information. For example, the emergency contact unit collects the owner's current location information and selects the contact information for providing the most appropriate medical care. This enables a quick and appropriate response by providing the most appropriate contact information based on the owner's current location information.

[0099] The emergency contact unit can cooperate with the owner's smartphone or wearable device to make a notification in the event of an emergency. The emergency contact unit, for example, sends an emergency contact notification to the owner's smartphone. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's smartphone. The emergency contact unit can also send an emergency contact notification to the owner's wearable device. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's wearable device. Furthermore, the emergency contact unit can cooperate with the owner's smart home system to make an emergency contact notification. For example, the emergency contact unit detects a pet emergency and sends a notification to the owner's smart home system. In this way, by cooperating with the owner's smartphone or wearable device, emergency contact notifications can be made quickly. === Hard Collateral 1-1 === Each of the multiple elements, including the schedule management unit, monitoring unit, environment management unit, safety management unit, and emergency contact unit, is realized by, for example, at least one of the smart device 14 and the data processing device 12. For example, the schedule management unit is realized by the control unit 46A of the smart device 14 and sets meal times and walking times for the pet and sends reminders. The monitoring unit monitors the pet's behavior using the camera 42 and sensors of the smart device 14 and detects abnormalities. The environment management unit is realized by the specific processing unit 290 of the data processing device 12 and monitors room temperature and humidity and provides advice on maintaining an appropriate environment. The safety management unit is realized by the control unit 46A of the smart device 14 and notifies the owner if the pet approaches a dangerous location. The emergency contact unit is realized by the specific processing unit 290 of the data processing device 12 and provides the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care. === Hard Collateral 1-2 === Each of the multiple elements, including the schedule management unit, monitoring unit, environment management unit, safety management unit, and emergency contact 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 schedule management unit is realized by the control unit 46A of the smart glasses 214 and sets meal times and walking times for the pet and sends reminders. The monitoring unit monitors the pet's behavior and detects abnormalities using the camera 42 and sensors of the smart glasses 214. The environment management unit is realized by the specific processing unit 290 of the data processing device 12 and monitors room temperature and humidity and provides advice on maintaining an appropriate environment. The safety management unit is realized by the control unit 46A of the smart glasses 214 and notifies the owner if the pet approaches a dangerous location. The emergency contact unit is realized by the specific processing unit 290 of the data processing device 12 and provides the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care. === Hard Collateral 1-3 === Each of the multiple elements, including the schedule management unit, monitoring unit, environment management unit, safety management unit, and emergency contact unit, is implemented, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the schedule management unit is implemented by the control unit 46A of the headset terminal 314 and sets meal times and walking times for the pet and sends reminders. The monitoring unit monitors the pet's behavior and detects abnormalities using the camera 42 and sensors of the headset terminal 314. The environment management unit is implemented by the specific processing unit 290 of the data processing device 12 and monitors room temperature and humidity and provides advice on maintaining an appropriate environment. The safety management unit is implemented by the control unit 46A of the headset terminal 314 and notifies the owner if the pet approaches a dangerous location. The emergency contact unit is implemented by the specific processing unit 290 of the data processing device 12 and provides the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care. === Hard Collateral 1-4 === Each of the multiple elements, including the schedule management unit, monitoring unit, environment management unit, safety management unit, and emergency contact unit, is realized by, for example, at least one of the robot 414 and the data processing device 12. For example, the schedule management unit is realized by the control unit 46A of the robot 414 and sets meal times and walking times for the pet and sends reminders. The monitoring unit monitors the pet's behavior using the camera 42 and sensors of the robot 414 and detects abnormalities. The environment management unit is realized by the specific processing unit 290 of the data processing device 12 and monitors room temperature and humidity and provides advice on maintaining an appropriate environment. The safety management unit is realized by the control unit 46A of the robot 414 and notifies the owner if the pet approaches a dangerous location. The emergency contact unit is realized by the specific processing unit 290 of the data processing device 12 and provides the nearest veterinary clinic and emergency contact information if the pet requires emergency medical care.

[0100] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0101] The pet care system may further include a health management unit that monitors the health of the pet. The health management unit monitors the pet's vital signs, such as body temperature, heart rate, and respiratory rate, in real time and can notify the owner if an abnormality is detected. For example, the health management unit may alert the owner if the pet's body temperature is abnormally high. The health management unit may also alert the owner if the pet's heart rate is abnormally low. The health management unit may also alert the owner if the pet's respiratory rate is abnormally high. This allows the pet's health to be maintained by constantly monitoring the pet's health and detecting abnormalities early.

[0102] The schedule management unit can propose a schedule based on the pet's behavior data according to the pet's preferences and habits. For example, the schedule management unit can detect that the pet is active during a specific time period and set a walking schedule for that time period. The schedule management unit can also detect that the pet prefers a specific food and incorporate that food into the meal schedule. Furthermore, the schedule management unit can detect that the pet prefers to toilet in a specific place and set a toilet time for that place. In this way, the pet's comfort can be improved by proposing a schedule based on the pet's preferences and habits.

[0103] The monitoring unit can estimate the stress level of a pet based on the pet's behavior data and notify the owner. For example, the monitoring unit can detect that the pet barks frequently and infer that the stress level is high. The monitoring unit can also detect that the pet moves around excessively and infer that the stress level is high. Furthermore, the monitoring unit can detect that the pet refuses to eat and infer that the stress level is high. In this way, the pet's stress level can be detected early and the owner can be notified, allowing measures to be taken to reduce the pet's stress.

[0104] The environmental management unit can dynamically adjust the optimal environmental settings based on the pet's activity data. For example, the environmental management unit adjusts the room temperature to lower when the pet's activity level is high. The environmental management unit can also adjust the room temperature to raise when the pet's activity level is low. Furthermore, the environmental management unit can also adjust the humidity to lower when the pet's activity level is high. In this way, the environmental settings can be dynamically adjusted according to the pet's activity level to maintain the pet's comfort.

[0105] The safety management unit can automatically issue an alert if a pet enters a specific area based on the pet's location information. For example, the safety management unit can notify the owner if the pet enters the kitchen. The safety management unit can also notify the owner if the pet goes out into the yard. Furthermore, the safety management unit can notify the owner if the pet enters a specific room. This allows for immediate action to be taken if the pet enters a dangerous area.

[0106] The emergency contact unit can monitor the health condition of a pet in real time and automatically contact the nearest veterinary hospital if an abnormality is detected. For example, the emergency contact unit will contact the nearest veterinary hospital if the pet's body temperature is abnormally high. The emergency contact unit can also contact the nearest veterinary hospital if the pet's heart rate is abnormally low. Furthermore, the emergency contact unit can also contact the nearest veterinary hospital if the pet's respiratory rate is abnormally high. This allows for a quick response when an abnormality occurs in the pet's health condition.

[0107] The schedule management unit can estimate the owner's emotions and adjust the pet's schedule based on the estimated owner's emotions. For example, if the owner is stressed, the pet's walking time can be shortened. Also, if the owner is relaxed, the pet's walking time can be extended. Furthermore, if the owner is busy, the pet's meal time can be adjusted. In this way, adjusting the pet's schedule according to the owner's emotions can reduce the owner's stress.

[0108] The monitoring unit can estimate the pet's emotions based on the pet's behavior data and notify the owner. For example, the monitoring unit can detect when the pet is excited and notify the owner. The monitoring unit can also detect when the pet is feeling anxious and notify the owner. Furthermore, the monitoring unit can detect when the pet is relaxed and notify the owner. In this way, the pet's emotions can be detected early and notified to the owner, allowing a response according to the pet's emotions to be taken.

[0109] The environment control unit can estimate the pet's emotions and adjust the environment settings based on the estimated pet's emotions. For example, if the pet is stressed, the room temperature can be adjusted to lower. If the pet is relaxed, the room temperature can be adjusted to higher. Furthermore, if the pet is excited, the humidity can be adjusted to lower. In this way, the environment settings can be adjusted according to the pet's emotions to maintain the pet's comfort.

[0110] The safety management unit can estimate the pet's emotions and adjust safety measures based on the estimated pet's emotions. For example, if the pet feels anxious, the owner can be notified. If the pet is excited, the owner can also be notified. Furthermore, if the pet is relaxed, the notification can be withheld. In this way, the safety measures can be adjusted according to the pet's emotions to ensure the pet's safety.

[0111] The processing flow of the second embodiment will be briefly explained below.

[0112] Step 1: The schedule management section manages the pet's daily care, specifically setting meal times, walk times, and toilet times, and sending reminders to the owner. Step 2: The monitoring unit uses cameras and sensors to monitor the pet's behavior and detect abnormalities. Specifically, it analyzes the pet's behavioral patterns and detects abnormal behavior. Step 3: The Environmental Management Department monitors the room temperature and humidity and provides advice on maintaining an appropriate environment, such as using air conditioning if the room temperature is too high. Step 4: The Safety Management Department will notify owners if their pets approach dangerous areas or go outside. Specifically, it will issue a warning if their pets approach roads. Step 5: The emergency contact department will provide you with the nearest veterinary clinic and emergency contact information in case your pet needs emergency medical care. Specifically, they will provide you with the contact information for the nearest veterinary clinic in case your pet suddenly becomes ill.

[0113] 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.

[0114] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of the generative AI include a neural network (NN) and a neural network (NN). The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image (e.g., still image data or video data). The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, image data, etc. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0115] 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.

[0116] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0117] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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).

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0131] 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.

[0132] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0133] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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).

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0147] 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.

[0148] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0149] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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).

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0164] 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.

[0165] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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).

[0170] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0171] 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."

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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, in order to avoid confusion and to 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.

[0183] 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.

[0184] [Explanation of symbols]

[0185] 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 schedule management department that manages the daily care of pets, a monitoring unit that monitors the behavior of a pet based on the schedule set by the schedule management unit; an environment management unit that provides an environment for the pet based on the data monitored by the monitoring unit; a safety management unit that ensures the protection of pets based on the environmental data provided by the environmental management unit; an emergency contact unit that provides contact information based on an emergency situation detected by the safety management unit; A system characterized by:

2. The schedule management unit Set meal times, walk times, and toilet times for your pet and send reminders to owners 2. The system of claim 1.

3. The monitoring unit Use cameras or sensors to monitor pet behavior and detect abnormalities 2. The system of claim 1.

4. The environmental management unit Monitor room temperature or humidity and provide advice on maintaining the right environment 2. The system of claim 1.

5. The safety management department Notify owners if their pet approaches or leaves a dangerous area 2. The system of claim 1.

6. The emergency contact department: Provide the nearest veterinary clinic or emergency contact information if your pet needs emergency medical care 2. The system of claim 1.

7. The schedule management unit Estimate the owner's emotions and adjust the timing of sending reminders based on the estimated emotions of the owner.

2. The system of claim 1.

8. The schedule management unit Analyze your pet's past behavior data and automatically generate the optimal schedule 2. The system of claim 1.

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