System

Abstract

An object of a system according to an embodiment is to easily acquire genetic information of a dog and to enable an owner to provide appropriate care.SOLUTION: A system according to an embodiment includes a genetic test kit, an analysis unit, and a providing unit. The genetic test kit collects a cell sample of the dog. The analysis unit analyzes the cell sample collected by the genetic test kit. The providing part provides the result analyzed by the analyzing part to the owner.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With conventional technology, it was difficult to easily obtain a dog's genetic information and use it for health management and disease prevention.

[0005] The system according to the embodiment aims to easily obtain genetic information about dogs and enable owners to provide appropriate care. [Means for solving the problem]

[0006] The system according to the embodiment includes a genetic testing kit, an analysis unit, and a providing unit. The genetic testing kit collects a cell sample from the dog. The analysis unit analyzes the cell sample collected by the genetic testing kit. The providing unit provides the results of the analysis by the analysis unit to the owner. [Effects of the Invention]

[0007] The system according to the embodiment makes it possible to easily obtain genetic information about a dog, enabling owners to provide appropriate care. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) The dog genetic testing system according to an embodiment of the present invention is a system in which a cell sample is collected from the dog, and a generative AI performs genetic analysis to provide genetic characteristics, health risks, breed information, etc. This allows owners to understand their dog's genetic information and provide appropriate care for health management and disease prevention.

[0029] A genetic testing system for dogs according to an embodiment includes a genetic testing kit, an analysis unit, and a providing unit. The genetic testing kit collects a cell sample from the dog. For example, the owner collects cells from the dog's mouth according to the kit's instructions and stores the collected cells in a container. The genetic testing kit may also include tools for collecting samples such as saliva, blood, and skin cells. The analysis unit analyzes the cell sample collected by the genetic testing kit. For example, the analysis unit may use AI to extract DNA from the cell sample and analyze its genetic sequence. The analysis unit may also use methods such as DNA sequencing and PCR analysis. The providing unit provides the results of the analysis performed by the analysis unit to the owner. For example, the providing unit may provide the results via email, app notification, paper report, or other format. The providing unit may also provide the owner with information such as genetic characteristics, health risks, and breed information. This allows the owner to understand their dog's genetic information and provide appropriate care for health management and disease prevention.

[0030] The genetic testing kit includes a multi-functional tool for collecting samples such as dog saliva, hair, and nails. The genetic testing kit includes, for example, a sponge for collecting dog saliva. The genetic testing kit may also include special tweezers for easily plucking hair. The genetic testing kit may also include a small cutter for cutting nails. This allows for the collection of a variety of samples, thereby improving the accuracy of genetic analysis.

[0031] The genetic testing kit includes an aromatherapy sheet to reduce stress for the dog during sample collection. For example, the genetic testing kit may include a lavender-scented aromatherapy sheet. The genetic testing kit may also include a chamomile-scented aromatherapy sheet. The genetic testing kit may also include an aromatherapy sheet designed to help the dog relax. This reduces stress for the dog and allows for smooth sample collection.

[0032] Genetic testing kits can be improved to be compatible with other pets. For example, the genetic testing kit may include a specialized tool for collecting cat hair. The genetic testing kit may also include a specialized tool for collecting bird feathers. The genetic testing kit may also include a specialized tool for collecting rabbit hair. This allows the kit to be compatible with a variety of pets, thereby expanding the range of use.

[0033] The genetic testing kit includes a dedicated package for automatically sending the collected sample to the laboratory. The genetic testing kit may provide, for example, dedicated packaging that safely protects the sample and allows for easy shipping. The genetic testing kit may also provide dedicated packaging to ensure the sample is sealed. The genetic testing kit may also provide dedicated packaging with a sample tracking function. This simplifies sample shipping and speeds up analysis.

[0034] The analysis unit is equipped with sensors that monitor the state of the sample in real time when the sample is delivered and maintain optimal storage conditions. For example, the analysis unit can attach a temperature sensor to the sample container to monitor the temperature in real time. The analysis unit can also attach a humidity sensor to the sample container to monitor the humidity in real time. The analysis unit can also attach a vibration sensor to the sample container to monitor vibration in real time. This allows the sample state to be monitored in real time and optimal storage conditions to be maintained, thereby improving the accuracy of the analysis.

[0035] The analysis unit uses AI to automatically evaluate the quality of samples and has the ability to filter out inappropriate samples before analysis. For example, the analysis unit uses AI to automatically measure DNA concentration and purity and eliminate samples that do not meet the standards. The analysis unit can also automatically measure the sample volume and eliminate samples that do not meet the standards. The analysis unit can also automatically evaluate the condition of the sample and filter out inappropriate samples. This automatically evaluates sample quality and eliminates inappropriate samples, improving the accuracy of the analysis.

[0036] The analysis unit has the function of simultaneously collecting other health data when sending the sample and performing a comprehensive health analysis. For example, the analysis unit sends weight data entered by the owner along with the sample. The analysis unit can also send dietary data entered by the owner along with the sample. The analysis unit can also send exercise data entered by the owner along with the sample. This allows for comprehensive health analysis, enabling more accurate health management.

[0037] The analysis unit has a function in which AI predicts the analysis results after the sample is sent and provides an overview to the owner in advance. For example, the analysis unit generates a predicted result using AI based on past data and notifies the owner. The analysis unit can also generate an overview of the analysis results and provide it to the owner in advance. The analysis unit can also evaluate the accuracy of the prediction of the analysis results and notify the owner. In this way, by predicting the analysis results in advance and providing an overview to the owner, the anxiety of the owner can be reduced.

[0038] The providing unit has a function to provide the genetic characteristics analyzed by the AI ​​in an interactive visual format that makes it easy for the owner to understand. For example, the providing unit visually displays the genetic information in graphs or charts. The providing unit can also display the genetic information in animation. The providing unit can also display the genetic information in an interactive format so that the owner can check detailed information. This makes it easier for the owner to understand the genetic characteristics.

[0039] The providing unit has a function of predicting a dog's behavior and proposing a training method based on genetic characteristics. The providing unit, for example, analyzes the influence of a specific gene on behavior and proposes an appropriate training method. The providing unit can also predict a dog's behavior based on genetic characteristics. The providing unit can also propose an appropriate training method based on the predicted dog's behavior. This allows owners to predict their dog's behavior and select an appropriate training method.

[0040] The providing unit has a function of improving the analysis algorithm so that the genetic characteristics can be applied to other pets. The providing unit builds a genetic database for cats and birds, for example, and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing the genetic information of other pets. The providing unit can also improve the algorithm for analyzing the genetic characteristics of other pets. This allows the system to be used for a wider range of pets, thereby expanding the range of use.

[0041] The provider has a function of proposing an appropriate diet and exercise plan for the dog based on the genetic characteristics. The provider analyzes, for example, the effect of a specific gene on nutritional intake and provides an appropriate diet plan. The provider can also propose an appropriate exercise plan for the dog based on the genetic characteristics. The provider can also propose a diet and exercise plan for effectively managing the dog's health. This allows owners to more effectively manage the dog's health.

[0042] The providing unit has a function to provide the health risks analyzed by the AI ​​in an interactive visual format to make it easier for the owner to understand. For example, the providing unit visually displays the health risks in graphs and charts. The providing unit can also display the health risks in animation. The providing unit can also display the health risks in an interactive format to allow the owner to check detailed information. This makes it easier for the owner to understand the health risks.

[0043] The providing unit has a function of proposing preventive measures and treatments based on health risks. For example, if a specific gene mutation is present, the providing unit proposes preventive measures to reduce the risk. The providing unit can also propose appropriate treatments based on the health risks. The providing unit can also propose preventive measures and treatments to reduce the health risks. This allows owners to select appropriate preventive measures and treatments based on the health risks of their dogs.

[0044] The providing unit has a function of improving the analysis algorithm so that the health risks can be applied to other pets. The providing unit, for example, builds a genetic database of cats and birds and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing the genetic information of other pets. The providing unit can also improve the algorithm for analyzing the health risks of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0045] The providing unit has a function of proposing a schedule for regular health checks based on health risks. For example, if a specific gene mutation is present, the providing unit proposes regular health checks to reduce the risk. The providing unit can also propose regular blood tests and weight measurements based on the health risks. The providing unit can also propose a schedule for regular health checks to reduce the health risks. This allows owners to perform appropriate health checks based on the health risks of their dogs.

[0046] The providing unit has a function to provide the breed information analyzed by the AI ​​in an interactive visual format that makes it easy for the owner to understand. For example, the providing unit visually displays the breed information in graphs or charts. The providing unit can also display the breed information in animation. The providing unit can also display the breed information in an interactive format so that the owner can check detailed information. This makes it easier for the owner to understand the breed information.

[0047] The providing unit has a function of proposing appropriate training methods and living environments for dogs based on breed information. The providing unit proposes, for example, training methods preferred by a specific breed. The providing unit can also propose appropriate living environments for dogs based on breed information. The providing unit can also propose appropriate training methods and living environments based on breed information for dogs. This allows owners to select appropriate training methods and living environments for their dogs based on breed information.

[0048] The providing unit has a function of improving the analysis algorithm so that breed information can be applied to other pets. The providing unit, for example, builds a genetic database for cats and birds and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing genetic information of other pets. The providing unit can also improve the algorithm for analyzing breed information of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0049] The provider has a function of proposing an appropriate diet and exercise plan for the dog based on the breed information. The provider may, for example, propose a diet preferred by a specific breed. The provider may also propose an appropriate exercise plan for the dog based on the breed information. The provider may also propose a diet and exercise plan for effectively managing the dog's health. This allows owners to more effectively manage the dog's health.

[0050] The provider has a function to automatically generate an individual health management plan based on the genetic information provided by the AI ​​and provide it to the owner. The provider proposes an appropriate diet and exercise plan based on, for example, specific gene mutations. The provider can also automatically generate an individual health management plan based on the genetic information provided by the AI ​​and provide it to the owner. The provider can also provide a plan that allows the owner to effectively manage the health of their dog. This allows the owner to receive an individual health management plan based on the genetic information of their dog.

[0051] The providing unit has a function of sending periodic reminders and notifications to the owner based on the health management plan. The providing unit notifies, for example, of schedules for periodic health checks and vaccinations. The providing unit can also send periodic reminders and notifications to the owner based on the health management plan. The providing unit can also provide reminders and notifications to help the owner effectively manage the health of their dog. This allows the owner to receive reminders and notifications at appropriate times based on the health management plan.

[0052] The provider has a function for improving the health management plan so that it can be applied to other pets. The provider provides an appropriate health management plan based on, for example, genetic information of cats or birds. The provider can also improve the algorithm for providing health management plans for other pets. The provider can also provide plans for effectively managing the health of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0053] The provider has a function of providing a platform for strengthening collaboration between owners and veterinarians based on the health management plan. The provider, for example, builds a system for sharing health data and receiving advice from veterinarians. The provider can also provide a platform that enables owners and veterinarians to collaborate through online chat or video calls. The provider can also provide a platform that enables owners and veterinarians to share data and perform effective health management. This strengthens collaboration between owners and veterinarians, enabling more effective health management.

[0054] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0055] The genetic testing kit comes with an aromatherapy sheet to reduce stress for dogs during sample collection. For example, a lavender-scented aromatherapy sheet can be included. Or, a chamomile-scented aromatherapy sheet can be included. It is also possible to include an aromatherapy sheet designed to help dogs relax. This reduces stress for dogs and allows for a smoother sample collection.

[0056] Genetic testing kits can be improved to be compatible with other pets. For example, they can include a specialized tool for collecting cat hair, a specialized tool for collecting bird feathers, or a specialized tool for collecting rabbit hair. This will broaden the scope of use by enabling them to be compatible with a variety of pets.

[0057] Genetic testing kits are provided with dedicated packaging for automatically sending collected samples to laboratories. For example, dedicated packaging materials can be provided to safely protect samples and facilitate easy shipping. Dedicated packaging can also be provided to ensure the samples are sealed. Furthermore, dedicated packaging with a sample tracking function can also be provided. This simplifies sample shipping and speeds up analysis.

[0058] The analysis unit is equipped with sensors that monitor the state of the sample in real time when it is delivered and maintain optimal storage conditions. For example, a temperature sensor can be attached to the sample container to monitor the temperature in real time. A humidity sensor can also be attached to the sample container to monitor the humidity in real time. Furthermore, a vibration sensor can be attached to the sample container to monitor vibration in real time. This allows the state of the sample to be monitored in real time and optimal storage conditions to be maintained, improving the accuracy of analysis.

[0059] The analysis unit uses AI to automatically evaluate sample quality and filter out inappropriate samples before analysis. For example, AI can automatically measure DNA concentration and purity and eliminate samples that do not meet the standards. AI can also automatically measure sample volume and eliminate samples that do not meet the standards. AI can also automatically evaluate sample condition and filter out inappropriate samples. This automatically evaluates sample quality and eliminates inappropriate samples, improving the accuracy of analysis.

[0060] The processing flow of the first embodiment will be briefly explained below.

[0061] Step 1: The genetic testing kit collects a cell sample from the dog. For example, the owner follows the kit's instructions to collect cells from the dog's mouth and store them in a container. The genetic testing kit may also include tools for collecting samples such as saliva, blood, and skin cells. Step 2: The analysis unit analyzes the cell sample collected by the genetic testing kit. For example, the analysis unit uses AI to extract DNA from the cell sample and analyze the gene sequence. The analysis unit can also use methods such as DNA sequencing and PCR analysis. Step 3: The providing unit provides the results analyzed by the analysis unit to the owner. For example, the providing unit provides the results in the form of email, app notification, paper report, etc. The providing unit also provides the owner with genetic characteristics, health risks, breed information, etc.

[0062] (Example 2) The dog genetic testing system according to an embodiment of the present invention is a system in which a cell sample is collected from the dog, and a generative AI performs genetic analysis to provide genetic characteristics, health risks, breed information, etc. This allows owners to understand their dog's genetic information and provide appropriate care for health management and disease prevention.

[0063] A genetic testing system for dogs according to an embodiment includes a genetic testing kit, an analysis unit, and a providing unit. The genetic testing kit collects a cell sample from the dog. For example, the owner collects cells from the dog's mouth according to the kit's instructions and stores the collected cells in a container. The genetic testing kit may also include tools for collecting samples such as saliva, blood, and skin cells. The analysis unit analyzes the cell sample collected by the genetic testing kit. For example, the analysis unit may use AI to extract DNA from the cell sample and analyze its genetic sequence. The analysis unit may also use methods such as DNA sequencing and PCR analysis. The providing unit provides the results of the analysis performed by the analysis unit to the owner. For example, the providing unit may provide the results via email, app notification, paper report, or other format. The providing unit may also provide the owner with information such as genetic characteristics, health risks, and breed information. This allows the owner to understand their dog's genetic information and provide appropriate care for health management and disease prevention.

[0064] The genetic testing kit includes a multi-functional tool for collecting samples such as dog saliva, hair, and nails. The genetic testing kit includes, for example, a sponge for collecting dog saliva. The genetic testing kit may also include special tweezers for easily plucking hair. The genetic testing kit may also include a small cutter for cutting nails. This allows for the collection of a variety of samples, thereby improving the accuracy of genetic analysis.

[0065] The genetic testing kit includes an aromatherapy sheet to reduce stress for the dog during sample collection. For example, the genetic testing kit may include a lavender-scented aromatherapy sheet. The genetic testing kit may also include a chamomile-scented aromatherapy sheet. The genetic testing kit may also include an aromatherapy sheet designed to help the dog relax. This reduces stress for the dog and allows for smooth sample collection.

[0066] The genetic testing kit uses an emotion estimation function to provide a guide video to reduce the anxiety felt by pet owners when collecting samples. The genetic testing kit, for example, analyzes the owner's facial expressions and voice to provide a guide video that displays reassuring messages at appropriate times. The genetic testing kit can also provide a guide video that shows step-by-step procedures to make it easier for pet owners to understand the sample collection procedure. The genetic testing kit can also provide a guide video that includes reassuring narration to help pet owners relax. This reduces the owner's anxiety and allows for a smooth sample collection process.

[0067] Genetic testing kits can be improved to be compatible with other pets. For example, the genetic testing kit may include a specialized tool for collecting cat hair. The genetic testing kit may also include a specialized tool for collecting bird feathers. The genetic testing kit may also include a specialized tool for collecting rabbit hair. This allows the kit to be compatible with a variety of pets, thereby expanding the range of use.

[0068] The genetic testing kit includes a dedicated package for automatically sending the collected sample to the laboratory. The genetic testing kit may provide, for example, dedicated packaging that safely protects the sample and allows for easy shipping. The genetic testing kit may also provide dedicated packaging to ensure the sample is sealed. The genetic testing kit may also provide dedicated packaging with a sample tracking function. This simplifies sample shipping and speeds up analysis.

[0069] The genetic testing kit uses an emotion estimation function to monitor the emotions felt by the owner in real time during sample collection and provide positive feedback. For example, the genetic testing kit can analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The genetic testing kit can also analyze the owner's emotional state in real time and send reassuring messages. The genetic testing kit can also provide positive feedback to help the owner relax. In this way, by monitoring the owner's emotions in real time and providing positive feedback, the sample collection process can proceed smoothly.

[0070] The analysis unit is equipped with sensors that monitor the state of the sample in real time when the sample is delivered and maintain optimal storage conditions. For example, the analysis unit can attach a temperature sensor to the sample container to monitor the temperature in real time. The analysis unit can also attach a humidity sensor to the sample container to monitor the humidity in real time. The analysis unit can also attach a vibration sensor to the sample container to monitor vibration in real time. This allows the sample state to be monitored in real time and optimal storage conditions to be maintained, thereby improving the accuracy of the analysis.

[0071] The analysis unit uses AI to automatically evaluate the quality of samples and has the ability to filter out inappropriate samples before analysis. For example, the analysis unit uses AI to automatically measure DNA concentration and purity and eliminate samples that do not meet the standards. The analysis unit can also automatically measure the sample volume and eliminate samples that do not meet the standards. The analysis unit can also automatically evaluate the condition of the sample and filter out inappropriate samples. This automatically evaluates sample quality and eliminates inappropriate samples, improving the accuracy of the analysis.

[0072] The analysis unit includes a progress notification system that uses the emotion estimation function to reduce anxiety felt by pet owners after sending samples. For example, the analysis unit sends a notification when the sample arrives at the lab. The analysis unit can also send a notification when sample analysis begins. The analysis unit can also send a notification when sample analysis is completed. This reduces anxiety for pet owners and allows them to understand the progress of the sample after sending it.

[0073] The analysis unit has the function of simultaneously collecting other health data when sending the sample and performing a comprehensive health analysis. For example, the analysis unit sends weight data entered by the owner along with the sample. The analysis unit can also send dietary data entered by the owner along with the sample. The analysis unit can also send exercise data entered by the owner along with the sample. This allows for comprehensive health analysis, enabling more accurate health management.

[0074] The analysis unit has a function in which AI predicts the analysis results after the sample is sent and provides an overview to the owner in advance. For example, the analysis unit generates a predicted result using AI based on past data and notifies the owner. The analysis unit can also generate an overview of the analysis results and provide it to the owner in advance. The analysis unit can also evaluate the accuracy of the prediction of the analysis results and notify the owner. In this way, by predicting the analysis results in advance and providing an overview to the owner, the anxiety of the owner can be reduced.

[0075] The analysis unit uses an emotion estimation function to analyze the emotions felt by the owner after sending the sample and provides positive feedback. For example, the analysis unit analyzes the owner's emotional state in real time and sends a message that provides a sense of security. The analysis unit can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The analysis unit can also provide positive feedback to help the owner relax. In this way, analyzing the owner's emotions and providing positive feedback reduces the owner's anxiety.

[0076] The providing unit has a function to provide the genetic characteristics analyzed by the AI ​​in an interactive visual format that makes it easy for the owner to understand. For example, the providing unit visually displays the genetic information in graphs or charts. The providing unit can also display the genetic information in animation. The providing unit can also display the genetic information in an interactive format so that the owner can check detailed information. This makes it easier for the owner to understand the genetic characteristics.

[0077] The providing unit has a function of predicting a dog's behavior and proposing a training method based on genetic characteristics. The providing unit, for example, analyzes the influence of a specific gene on behavior and proposes an appropriate training method. The providing unit can also predict a dog's behavior based on genetic characteristics. The providing unit can also propose an appropriate training method based on the predicted dog's behavior. This allows owners to predict their dog's behavior and select an appropriate training method.

[0078] The providing unit has a function of using an emotion estimation function to analyze the emotions of the owner when understanding the genetic characteristics and providing positive feedback. For example, the providing unit analyzes the owner's emotional state in real time and sends a message that provides a sense of security. The providing unit can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The providing unit can also provide positive feedback to help the owner relax. In this way, analyzing the emotions of the owner when understanding the genetic characteristics and providing positive feedback deepens understanding.

[0079] The providing unit has a function of improving the analysis algorithm so that the genetic characteristics can be applied to other pets. The providing unit builds a genetic database for cats and birds, for example, and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing the genetic information of other pets. The providing unit can also improve the algorithm for analyzing the genetic characteristics of other pets. This allows the system to be used for a wider range of pets, thereby expanding the range of use.

[0080] The provider has a function of proposing an appropriate diet and exercise plan for the dog based on the genetic characteristics. The provider analyzes, for example, the effect of a specific gene on nutritional intake and provides an appropriate diet plan. The provider can also propose an appropriate exercise plan for the dog based on the genetic characteristics. The provider can also propose a diet and exercise plan for effectively managing the dog's health. This allows owners to more effectively manage the dog's health.

[0081] The providing unit has a function of using an emotion estimation function to monitor the emotions of the owner when understanding the genetic characteristics in real time and provide positive feedback. The providing unit, for example, analyzes the owner's facial expressions and voice and displays encouraging messages at appropriate times. The providing unit can also analyze the owner's emotional state in real time and send messages that provide a sense of security. The providing unit can also provide positive feedback to help the owner relax. In this way, by monitoring the emotions of the owner when understanding the genetic characteristics in real time and providing positive feedback, understanding is deepened.

[0082] The providing unit has a function to provide the health risks analyzed by the AI ​​in an interactive visual format to make it easier for the owner to understand. For example, the providing unit visually displays the health risks in graphs and charts. The providing unit can also display the health risks in animation. The providing unit can also display the health risks in an interactive format to allow the owner to check detailed information. This makes it easier for the owner to understand the health risks.

[0083] The providing unit has a function of proposing preventive measures and treatments based on health risks. For example, if a specific gene mutation is present, the providing unit proposes preventive measures to reduce the risk. The providing unit can also propose appropriate treatments based on the health risks. The providing unit can also propose preventive measures and treatments to reduce the health risks. This allows owners to select appropriate preventive measures and treatments based on the health risks of their dogs.

[0084] The providing unit has a function of using an emotion estimation function to analyze the emotions of the owner when understanding a health risk and providing positive feedback. For example, the providing unit analyzes the owner's emotional state in real time and sends a message that provides a sense of security. The providing unit can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The providing unit can also provide positive feedback to help the owner relax. In this way, analyzing the emotions of the owner when understanding a health risk and providing positive feedback deepens understanding.

[0085] The providing unit has a function of improving the analysis algorithm so that the health risks can be applied to other pets. The providing unit, for example, builds a genetic database of cats and birds and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing the genetic information of other pets. The providing unit can also improve the algorithm for analyzing the health risks of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0086] The providing unit has a function of proposing a schedule for regular health checks based on health risks. For example, if a specific gene mutation is present, the providing unit proposes regular health checks to reduce the risk. The providing unit can also propose regular blood tests and weight measurements based on the health risks. The providing unit can also propose a schedule for regular health checks to reduce the health risks. This allows owners to perform appropriate health checks based on the health risks of their dogs.

[0087] The providing unit has a function of using an emotion estimation function to monitor the emotions of the owner in real time when understanding health risks and provide positive feedback. The providing unit, for example, analyzes the owner's facial expressions and voice and displays encouraging messages at appropriate times. The providing unit can also analyze the owner's emotional state in real time and send messages that provide a sense of security. The providing unit can also provide positive feedback to help the owner relax. In this way, by monitoring the emotions of the owner in real time when understanding health risks and providing positive feedback, understanding is deepened.

[0088] The providing unit has a function to provide the breed information analyzed by the AI ​​in an interactive visual format that makes it easy for the owner to understand. For example, the providing unit visually displays the breed information in graphs or charts. The providing unit can also display the breed information in animation. The providing unit can also display the breed information in an interactive format so that the owner can check detailed information. This makes it easier for the owner to understand the breed information.

[0089] The providing unit has a function of proposing appropriate training methods and living environments for dogs based on breed information. The providing unit proposes, for example, training methods preferred by a specific breed. The providing unit can also propose appropriate living environments for dogs based on breed information. The providing unit can also propose appropriate training methods and living environments based on breed information for dogs. This allows owners to select appropriate training methods and living environments for their dogs based on breed information.

[0090] The providing unit has a function of using an emotion estimation function to analyze the emotions of the owner when understanding the breed information and provide positive feedback. For example, the providing unit analyzes the owner's emotional state in real time and sends a message that provides a sense of security. The providing unit can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The providing unit can also provide positive feedback to help the owner relax. In this way, analyzing the emotions of the owner when understanding the breed information and providing positive feedback deepens understanding.

[0091] The providing unit has a function of improving the analysis algorithm so that breed information can be applied to other pets. The providing unit, for example, builds a genetic database for cats and birds and adjusts the analysis algorithm. The providing unit can also improve the algorithm for analyzing genetic information of other pets. The providing unit can also improve the algorithm for analyzing breed information of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0092] The provider has a function of proposing an appropriate diet and exercise plan for the dog based on the breed information. The provider may, for example, propose a diet preferred by a specific breed. The provider may also propose an appropriate exercise plan for the dog based on the breed information. The provider may also propose a diet and exercise plan for effectively managing the dog's health. This allows owners to more effectively manage the dog's health.

[0093] The providing unit has a function of using an emotion estimation function to monitor the emotions of the owner when understanding the breed information in real time and provide positive feedback. The providing unit, for example, analyzes the owner's facial expressions and voice and displays encouraging messages at appropriate times. The providing unit can also analyze the owner's emotional state in real time and send messages that provide a sense of security. The providing unit can also provide positive feedback to help the owner relax. In this way, by monitoring the emotions of the owner when understanding the breed information in real time and providing positive feedback, understanding is deepened.

[0094] The provider has a function to automatically generate an individual health management plan based on the genetic information provided by the AI ​​and provide it to the owner. The provider proposes an appropriate diet and exercise plan based on, for example, specific gene mutations. The provider can also automatically generate an individual health management plan based on the genetic information provided by the AI ​​and provide it to the owner. The provider can also provide a plan that allows the owner to effectively manage the health of their dog. This allows the owner to receive an individual health management plan based on the genetic information of their dog.

[0095] The providing unit has a function of sending periodic reminders and notifications to the owner based on the health management plan. The providing unit notifies, for example, of schedules for periodic health checks and vaccinations. The providing unit can also send periodic reminders and notifications to the owner based on the health management plan. The providing unit can also provide reminders and notifications to help the owner effectively manage the health of their dog. This allows the owner to receive reminders and notifications at appropriate times based on the health management plan.

[0096] The providing unit has a function of using an emotion estimation function to analyze the emotions of the owner when carrying out the health management plan and provide positive feedback. For example, the providing unit analyzes the owner's emotional state in real time and sends a message that provides a sense of security. The providing unit can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. The providing unit can also provide positive feedback to help the owner relax. In this way, by analyzing the emotions of the owner when carrying out the health management plan and providing positive feedback, implementation is promoted.

[0097] The provider has a function for improving the health management plan so that it can be applied to other pets. The provider provides an appropriate health management plan based on, for example, genetic information of cats or birds. The provider can also improve the algorithm for providing health management plans for other pets. The provider can also provide plans for effectively managing the health of other pets. This allows the system to be used for a wider range of pets, thereby expanding the scope of use.

[0098] The provider has a function of providing a platform for strengthening collaboration between owners and veterinarians based on the health management plan. The provider, for example, builds a system for sharing health data and receiving advice from veterinarians. The provider can also provide a platform that enables owners and veterinarians to collaborate through online chat or video calls. The provider can also provide a platform that enables owners and veterinarians to share data and perform effective health management. This strengthens collaboration between owners and veterinarians, enabling more effective health management.

[0099] The providing unit has a function of using an emotion estimation function to monitor the emotions of the owner in real time when carrying out the health management plan and provide positive feedback. The providing unit, for example, analyzes the owner's facial expressions and voice and displays encouraging messages at appropriate times. The providing unit can also analyze the owner's emotional state in real time and send messages that provide a sense of security. The providing unit can also provide positive feedback to help the owner relax. In this way, by monitoring the owner's emotions in real time when carrying out the health management plan and providing positive feedback, implementation is promoted.

[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 genetic testing kit comes with an aromatherapy sheet to reduce stress for dogs during sample collection. For example, a lavender-scented aromatherapy sheet can be included. Or, a chamomile-scented aromatherapy sheet can be included. It is also possible to include an aromatherapy sheet designed to help dogs relax. This reduces stress for dogs and allows for a smoother sample collection.

[0102] Genetic testing kits can be improved to be compatible with other pets. For example, they can include a specialized tool for collecting cat hair, a specialized tool for collecting bird feathers, or a specialized tool for collecting rabbit hair. This will broaden the scope of use by enabling them to be compatible with a variety of pets.

[0103] Genetic testing kits are provided with dedicated packaging for automatically sending collected samples to laboratories. For example, dedicated packaging materials can be provided to safely protect samples and facilitate easy shipping. Dedicated packaging can also be provided to ensure the samples are sealed. Furthermore, dedicated packaging with a sample tracking function can also be provided. This simplifies sample shipping and speeds up analysis.

[0104] The analysis unit is equipped with sensors that monitor the state of the sample in real time when it is delivered and maintain optimal storage conditions. For example, a temperature sensor can be attached to the sample container to monitor the temperature in real time. A humidity sensor can also be attached to the sample container to monitor the humidity in real time. Furthermore, a vibration sensor can be attached to the sample container to monitor vibration in real time. This allows the state of the sample to be monitored in real time and optimal storage conditions to be maintained, improving the accuracy of analysis.

[0105] The analysis unit uses AI to automatically evaluate sample quality and filter out inappropriate samples before analysis. For example, AI can automatically measure DNA concentration and purity and eliminate samples that do not meet the standards. AI can also automatically measure sample volume and eliminate samples that do not meet the standards. AI can also automatically evaluate sample condition and filter out inappropriate samples. This automatically evaluates sample quality and eliminates inappropriate samples, improving the accuracy of analysis.

[0106] The genetic testing kit uses emotion estimation to provide a guide video to reduce the anxiety that owners may feel when collecting samples. For example, it can analyze the owner's facial expressions and voice and provide a guide video that displays reassuring messages at appropriate times. It can also provide a guide video that shows step-by-step procedures to help owners understand the sample collection procedure. It can also provide a guide video that includes reassuring narration to help owners relax. This reduces the owner's anxiety and allows for a smooth sample collection process.

[0107] The genetic testing kit uses an emotion estimation function to monitor the owner's emotions in real time when collecting samples and provide positive feedback. For example, it can analyze the owner's facial expressions and voice and display encouraging messages at the appropriate time. It can also analyze the owner's emotional state in real time and send reassuring messages. It can also provide positive feedback to help the owner relax. This allows the sample collection process to go more smoothly by monitoring the owner's emotions in real time and providing positive feedback.

[0108] The analysis unit uses emotion estimation functionality to provide a progress notification system to reduce the anxiety pet owners may feel after sending samples. For example, a notification can be sent when the sample arrives at the lab. A notification can also be sent when sample analysis begins. A notification can also be sent when sample analysis is complete. This reduces pet owners' anxiety and allows them to understand the progress of the sample after sending it.

[0109] The providing unit uses an emotion estimation function to analyze the emotions felt by the owner when understanding the genetic characteristics and provides positive feedback. For example, it can analyze the owner's emotional state in real time and send messages that provide a sense of security. It can also analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. It can also provide positive feedback to help the owner relax. This reduces the owner's anxiety by analyzing the owner's emotions and providing positive feedback.

[0110] The providing unit uses an emotion estimation function to monitor the owner's emotions in real time when understanding health risks and provide positive feedback. For example, it can analyze the owner's facial expressions and voice and display encouraging messages at appropriate times. It can also analyze the owner's emotional state in real time and send messages that provide reassurance. It can also provide positive feedback to help the owner relax. This allows the owner's emotions in real time when understanding health risks to be monitored and positive feedback provided, thereby deepening understanding.

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

[0112] Step 1: The genetic testing kit collects a cell sample from the dog. For example, the owner follows the kit's instructions to collect cells from the dog's mouth and store them in a container. The genetic testing kit may also include tools for collecting samples such as saliva, blood, and skin cells. Step 2: The analysis unit analyzes the cell sample collected by the genetic testing kit. For example, the analysis unit uses AI to extract DNA from the cell sample and analyze the gene sequence. The analysis unit can also use methods such as DNA sequencing and PCR analysis. Step 3: The providing unit provides the results analyzed by the analysis unit to the owner. For example, the providing unit provides the results in the form of email, app notification, paper report, etc. The providing unit also provides the owner with genetic characteristics, health risks, breed information, etc.

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

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

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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).

[0122] 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.

[0123] 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.

[0124] 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.

[0125] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0126] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0127] 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.

[0128] 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.

[0129] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0130] 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.

[0131] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0132] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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).

[0137] 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.

[0138] 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.

[0139] 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.

[0140] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0141] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0142] 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.

[0143] 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.

[0144] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0145] 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.

[0146] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0147] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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).

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0157] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0158] 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.

[0159] 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.

[0160] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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).

[0166] 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.

[0167] 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."

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0180] 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 genetic testing kit to collect cell samples from dogs, an analysis unit that analyzes the cell sample collected by the genetic testing kit; a providing unit that provides the result of the analysis by the analysis unit to the owner. A system characterized by:

2. The genetic testing kit comprises: It has a multi-functional tool for collecting samples of dog saliva, hair, nails, etc.

2. The system of claim 1.

3. The analysis unit Equipped with sensors to monitor sample conditions in real time during sample delivery and maintain optimal storage conditions 2. The system of claim 1.

4. The providing unit The AI ​​has the ability to provide the genetic characteristics analyzed by the AI ​​in an interactive visual format that makes it easy for owners to understand.

2. The system of claim 1.

5. The genetic testing kit comprises: Providing guide videos to reduce anxiety felt by pet owners when collecting samples 2. The system of claim 1.

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