System

Abstract

A system is provided.SOLUTION: A system comprising: means for analyzing genetic data of a pet; means for generating and executing care plans optimized for the pet based on the analyzed genetic data; means for transmitting the generated care plans to user terminals; means for receiving results of AI of the care plans from the user terminals; and means for updating the care plans based on the results of the executions.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] In recent years, pets have become increasingly part of the family, but because pets cannot verbally communicate their feelings or physical condition, it is difficult for owners to understand their pets' health status. This often leads to delayed detection of illness and inadequate care. Furthermore, there is no established method for providing individual care plans tailored to each pet's characteristics and genetic factors, so pet health management is inadequate. This has led to problems that reduce the happiness of both pets and their owners. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means. Specifically, the system includes a means for analyzing a pet's genetic information, an AI generation means for generating a care plan optimized for the pet based on the analyzed genetic information, a means for transmitting the generated care plan to a user terminal, a means for receiving execution results of the care plan from the user terminal, and a means for updating the care plan based on the execution results. This allows for the provision of a personalized care plan tailored to the individual characteristics and genetic factors of the pet, supporting pet health management and early detection of illness. Furthermore, it is possible to deepen the bond between pet and owner and promote happiness.

[0006] "Pets" are animals such as dogs, cats, and birds kept in the home, whose health and well-being are managed by their owners.

[0007] "Genetic information" refers to the genetic information contained in an organism's DNA, and is a factor that determines an organism's constitution, tendency to disease, etc.

[0008] "Analysis" is the process of examining data or information in detail to reveal its meaning and trends.

[0009] "Generative AI" is a system that uses artificial intelligence technology to automatically create optimal care plans based on data.

[0010] A "care plan" is a written plan that describes appropriate diet, exercise, and other health care methods for an individual pet.

[0011] A "user terminal" is an electronic device used by a user, such as a computer, smartphone, or tablet.

[0012] "Execution results" is data that indicates the actions taken by the user according to the care plan and changes in the health condition of the pet.

[0013] "Update" refers to modifying existing plans or content based on new information or data. [Brief explanation of the drawings]

[0014] [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. [Figure 11] FIG. 3 is a sequence diagram illustrating a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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, a 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), and an APU (Accelerated Processing Unit).

[0018] 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.

[0019] 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.

[0020] 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), Bluetooth (registered trademark), etc.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0026] 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.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0036] Sample collection and delivery

[0037] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they use a cotton swab to scrub the inside of their pet's mouth and deposit the saliva sample into the testing kit. The user then mails this sample kit to a designated genetic testing lab.

[0038] Sample receipt and analysis

[0039] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[0040] Generate personalized care plans

[0041] Based on the analyzed genetic information, the server uses generative AI to generate an individualized care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it can suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[0042] Care plan notification and implementation

[0043] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0044] Collecting and updating care plan implementation results

[0045] The device records the results of the user's actual implementation of the care plan. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. This implementation result data is automatically sent to the server.

[0046] Ongoing monitoring and feedback

[0047] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The existing plan can be revised based on the new data, and an optimized care plan can be sent back to the user's device, providing continuous support for pet health management.

[0048] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend a food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo according to the plan and records the results on their device, the server analyzes the data and provides new advice as needed. In this way, the bond between pet and owner is strengthened while achieving health and happiness.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[0052] Step 2:

[0053] The server receives samples sent from genetic testing laboratories, connects to the genetic testing laboratory's system, and receives sample data via API.

[0054] Step 3:

[0055] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0056] Step 4:

[0057] Based on the analyzed genetic information, the server uses generative AI to generate a personalized care plan, which suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[0058] Step 5:

[0059] The server sends the generated care plan to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[0060] Step 6:

[0061] The device receives the care plan and notifies the user by sending a push notification to let the user know that a new care plan has arrived and to provide the ability to view the details.

[0062] Step 7:

[0063] Users can view the care plan through the device and implement it for their pet, purchasing the suggested customized food and feeding it in the recommended amounts, incorporating the exercise plan into their daily routine, and implementing other care methods.

[0064] Step 8:

[0065] The device records the care provided by the user, providing an interface for inputting details of the type and amount of food given, the exercise and care provided, etc. This data is automatically sent to the server.

[0066] Step 9:

[0067] The server analyzes the received execution result data and updates the care plan as necessary. The generation AI analyzes the new data and extracts improvements to the existing plan. The newly optimized care plan is then sent back to the user's device.

[0068] Step 10:

[0069] Users receive and review updated care plans to continue managing their pet's health, providing optimal care based on their pet's individual characteristics and genetic factors.

[0070] Example 1

[0071] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0072] In pet health management, it is extremely important to provide an optimal care plan for each individual pet. However, current technology lacks systems that can properly analyze a pet's genetic information and create an individual care plan based on the results. Furthermore, the functionality to collect the results of care plan implementation and update the care plan based on those results is also insufficient. This makes it difficult to continuously monitor a pet's health and provide optimal health management.

[0073] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0074] In this invention, the server includes means for collecting genetic information about pets, means for analyzing the collected genetic information, generation AI means for generating a care plan optimized for the pet, means for transmitting the generated care plan to a user terminal, and means for receiving execution results of the care plan from the user terminal and updating the care plan based on the execution results. This makes it possible to provide an optimal care plan for each individual pet based on the pet's genetic information and to continuously update the plan based on the execution results of the care plan.

[0075] "Means for collecting genetic information from pets" refers to tools and methods for collecting biological samples such as saliva and hair from pets.

[0076] "Means for analyzing genetic information" refers to methods and devices that analyze collected genetic samples from pets to identify DNA sequences and obtain information such as physical constitution and health risks.

[0077] "Generative AI means" refers to artificial intelligence algorithms or software that automatically generate care plans appropriate for individual pets based on analyzed genetic information about the pet.

[0078] "Means for transmitting a care plan to a user terminal" refers to a communication device or protocol that transfers the created care plan to a terminal such as a smartphone or computer used by the user.

[0079] "Means for receiving the results of care plan implementation from the user terminal" refers to a communication device or protocol for recording the details of the care plan implementation carried out by the user and transferring that data to the server.

[0080] "Means for updating a care plan" refers to a method or device that uses a generation AI to modify an existing care plan or generate a new one based on the execution results received from the user.

[0081] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0082] Sample collection and delivery

[0083] First, users collect a sample from their pet using a dedicated genetic testing kit. The kit includes a cotton swab, a sample container, and a mailing envelope. Users swab the inside of their pet's mouth and deposit the saliva sample into the kit's container. They then mail the sample kit to a genetic testing lab.

[0084] Sample receipt and analysis

[0085] Next, the server receives the sample from the genetic testing lab. A receipt notification is sent to the user's device. The server is connected to an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) and performs sequencing analysis of the DNA extracted from the sample. At this stage, the pet's constitution, health risks, allergies, and nutrient absorption efficiency are identified.

[0086] Generate personalized care plans

[0087] Based on the analysis results, the server uses generative AI (e.g., OpenAI GPT-4) to generate an optimal care plan for each individual pet. This care plan includes customized food, exercise plans, and other health management methods that are best suited to the pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient.

[0088] Care plan notification and implementation

[0089] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0090] Collecting and updating care plan implementation results

[0091] The user records the results of the care plan on the device. To do so, they input the type and amount of food given, the exercise performed, etc. through the interface provided on the device. This execution result data is automatically sent to the server.

[0092] Ongoing monitoring and feedback

[0093] The server analyzes the results and evaluates the care plan based on the new data. Using generative AI, it updates the care plan as needed. This updated care plan is then sent back to the user's device, providing ongoing support for pet health management.

[0094] Specific examples

[0095] For example, if the analysis shows that a Shih Tzu is at risk for atopic dermatitis, the server uses generative AI to create the following care plan:

[0096] Recommended foods: Foods rich in omega-3 fatty acids

[0097] Care products: specific shampoo once a week

[0098] Exercise plan: Daily light walks and specific exercises once a month

[0099] The user follows this care plan, uses appropriate food and shampoo for the Shih Tzu, and records the results on the device. The server analyzes the data and provides new advice as needed.

[0100] Prompt Sentence Examples

[0101] For example, you might give the generator a prompt like this:

[0102] "The analysis results show that my Shih Tzu is at risk for atopic dermatitis. What is the best care plan?"

[0103] As described above, this system provides optimal care plans for individual pets based on their genetic information, and by updating the plans based on the results of their implementation, it is possible to continuously manage a pet's health.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1:

[0106] Users collect samples from their pets using a dedicated genetic testing kit.

[0107] Input: Genetic testing kits, pet saliva and hair

[0108] Specific steps: Use a cotton swab to scrub the inside of your pet's mouth and collect a saliva sample in the test kit's container.

[0109] Output: Samples taken

[0110] Step 2:

[0111] The user mails the collected sample to a designated genetic testing lab.

[0112] Input: Sample in test kit, mailing envelope

[0113] What happens: Place the sample in a mailing envelope and mail it to a genetic testing lab.

[0114] Output: Sample arriving at genetic testing lab

[0115] Step 3:

[0116] The server receives samples from genetic testing laboratories.

[0117] Input: Sample sent from genetic testing lab

[0118] Specific operation: The server confirms the arrival of the sample and automatically sends a receipt notification to the user terminal.

[0119] Output: Acknowledgement to user terminal

[0120] Step 4:

[0121] The server sends the genetic information of the sample to an analysis system for analysis.

[0122] Input: Received genetic sample

[0123] Specific operation: DNA sequencing is performed using an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) to identify data such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0124] Output: Analyzed genetic information

[0125] Step 5:

[0126] The server sends data to the generation AI based on the analysis results.

[0127] Input: Analyzed genetic information

[0128] Specific behavior: Input the analysis results into the generation AI and send prompts to generate a personalized care plan. Example: "Generate the optimal care plan based on this pet's genetic information."

[0129] Output: Generated care plan

[0130] Step 6:

[0131] The server transmits the generated care plan to the user terminal.

[0132] Input: Care plan output from the generation AI

[0133] Specific operation: Sends the contents of the care plan to the user's terminal and notifies the user of the arrival of a new care plan.

[0134] Output: Care plan notification to user device

[0135] Step 7:

[0136] Users can check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0137] Input: Care plan sent to user device

[0138] Specific actions: Follow the care plan, feed the specified customized food, and complete the suggested exercise plan.

[0139] Output: Executed care plan

[0140] Step 8:

[0141] The user records the results of the executed care plan on the terminal.

[0142] Input: details of care provided, type and amount of food, exercise details

[0143] Specific operations: Enter each item using the terminal interface.

[0144] Output: Execution result data

[0145] Step 9:

[0146] The terminal automatically transmits the execution result data to the server.

[0147] Input: Execution result data entered into the user's terminal

[0148] Specific operation: Transfer the execution results to the server.

[0149] Output: Execution result data sent to the server

[0150] Step 10:

[0151] The server analyzes the received execution result data and uses the generative AI to update the care plan as needed.

[0152] Input: Execution result data

[0153] Specific behavior: Evaluate the care plan based on new data and generate an updated care plan using generative AI if necessary.

[0154] Output: Updated care plan

[0155] Step 11:

[0156] The server again transmits the updated care plan to the user terminal.

[0157] Input: Updated Care Plan

[0158] Specific operation: The contents of the updated care plan are sent to the user terminal.

[0159] Output: Update care plan notification to user device

[0160] By going through the above steps, continuous health management based on your pet's genetic information can be achieved, deepening the happiness and bond between pet and owner.

[0161] (Application example 1)

[0162] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0163] In today's world, pet health management and safety measures are important issues for pet owners. However, there is a lack of systems that provide customized approaches based on each pet's individual health risks and behavioral patterns. While conventional methods can analyze a pet's genetic information and propose care plans based on the results, a major problem is the lack of real-time monitoring or immediate feedback. In addition, there is a lack of systems that can monitor a pet's behavior over the long term and detect health risks or abnormalities early.

[0164] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0165] In this invention, the server includes a means for analyzing the genetic information of the pet, an AI generation means for generating a care plan optimized for the pet based on the analyzed genetic information, a means for transmitting the generated care plan to a user terminal, a means for receiving execution results of the care plan from the user terminal, a means for updating the care plan based on the execution results, a means for monitoring the pet's behavior in real time, and a means for detecting abnormalities based on the monitoring results and sending an alert to the user terminal. This allows for advanced pet health management and real-time safety measures. Furthermore, by continuously monitoring the pet's health condition and behavior and detecting abnormalities early, health risks to the pet can be reduced.

[0166] A "means for analyzing genetic information of a pet" is a device or system that collects genetic samples from a pet and analyzes the genetic information in detail using appropriate analysis software.

[0167] The "generative AI means" is a system that includes artificial intelligence technology that generates care plans and security measures optimized for pets based on analyzed genetic information.

[0168] The "means for transmitting to a user terminal" is a system that transmits data of the generated care plan or security measure plan to a terminal such as a smartphone or computer owned by the user.

[0169] The "means for receiving the results of care plan execution" is a device or system that records the results of a user's execution of a care plan and that the server receives the data.

[0170] The "means for updating the care plan" is a system that reviews the existing care plan based on the received execution result data, generates new guidance and plans as necessary, and provides them to the user.

[0171] "Means for monitoring pet behavior in real time" refers to a system that uses cameras and sensors to continuously monitor pet behavior and collect data in real time.

[0172] The "means for detecting abnormalities and sending alerts to user terminals" is a system that analyzes collected monitoring data and sends a warning message to user terminals when an abnormality is detected.

[0173] The "generative AI means for generating security measures plans" is a system that uses artificial intelligence to generate plans proposing safety measures for pets based on genetic information and monitoring data.

[0174] The "means for detecting health risks and suggesting preventive measures" is a system that continuously monitors the health of pets, detects risks early, and suggests preventive measures to users based on that information.

[0175] This invention relates to a system that analyzes the genetic information of pets and generates and provides optimal care plans and security measures plans based on the results. The system includes multiple means, each of which functions in conjunction with one another.

[0176] First, the user uses a dedicated genetic testing kit to collect a sample (such as saliva or hair) from their pet and sends it to a testing lab. The sample is then analyzed by a server using genetic information analysis software. The analysis results provide detailed data on the pet's constitution and health risks.

[0177] The server then uses a generative AI model (such as GPT or BERT) based on the analysis results to generate a care plan and security measures optimized for the pet. The plan is then sent to the user's device (smartphone, computer, etc.), where the user can review it and use it to manage their pet's health.

[0178] Additionally, physical surveillance cameras and sensors such as smart collars are used to monitor pet behavior in real time, constantly collecting data on pet behavior and the environment, and instantly sending alerts to the user's device if an abnormality is detected.

[0179] For example, if a genetic analysis of a dog indicates that it is at high risk of heatstroke, the generative AI might suggest the following security plan:

[0180] "Analysis has shown that this dog is sensitive to heat. Please consider adjusting the temperature setting of the air conditioner automatically and using a cooling mat. Also, when going outside, please choose a place with plenty of shade."

[0181] This suggestion is notified to the user terminal, allowing the user to immediately take appropriate measures.

[0182] The server also receives the results of the care plan execution from the user's device, analyzes the data, and uses the generative AI to update the care plan based on the results. By then sending the optimized plan back to the user's device, the server can continuously support the pet's health management.

[0183] To implement this invention, the following hardware and software are used:

[0184] Hardware:

[0185] Smartphone (iOS, Android)

[0186] Head-mounted display (AR / VR compatible device)

[0187] server

[0188] Sensors such as surveillance cameras and smart collars

[0189] software:

[0190] Genetic Analysis Software

[0191] Database software (MySQL, PostgreSQL, etc.)

[0192] Generative AI models (GPT, BERT, etc.)

[0193] Real-time monitoring app (React Native, Flutter)

[0194] The above system will enhance pet health management and enable real-time safety measures. Furthermore, by continuously monitoring pet health and behavior and detecting abnormalities early, it will be possible to reduce health risks for pets.

[0195] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0196] Step 1:

[0197] The user uses a dedicated genetic testing kit to collect samples such as saliva or hair from their pet, and then mails the sample to a testing lab via the user's terminal. At this stage, the input is the pet's biological sample, and the output is the sample sent to the testing lab.

[0198] Step 2:

[0199] The server receives samples sent from the testing laboratory and analyzes them using genetic information analysis software. The input is the received biological sample, and the output is the analyzed genetic information data. This data includes the pet's constitution, health risks, and whether or not there are any allergies.

[0200] Step 3:

[0201] The server uses a generative AI model based on the analysis results to generate a care plan and security plan optimized for the pet. The input is the analyzed genetic information data, and the output is the generated care plan and security plan. For example, if a specific allergy is confirmed, the generative AI will suggest a customized food that excludes that ingredient.

[0202] Step 4:

[0203] The server sends the generated care plan or security measure plan to the user terminal. The input is the generated care plan or security measure plan, and the output is a notification of the plan to the user terminal. The user terminal uses a notification function to notify the user that a new plan has arrived.

[0204] Step 5:

[0205] The user checks the details of the care plan through the user terminal and begins actual health management of the pet. Specifically, the user checks the type and amount of food to be fed, the details of exercise, etc. At this stage, the input is the care plan received by the user terminal, and the output is the implementation of the execution plan on the pet.

[0206] Step 6:

[0207] After executing the care plan, the user inputs the execution results through the user terminal. For example, the type and amount of food given, the exercise performed, and the details of care are recorded. The input is the execution result data, and the output is data sent to the server.

[0208] Step 7:

[0209] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The input is the execution result data, and the output is an updated care plan. The existing plan is revised based on the new data and resent to the user device.

[0210] Step 8:

[0211] To monitor pet behavior in real time, the server collects data from surveillance cameras and smart collars. The input is sensor data, and the output is monitored behavior data. If an abnormality is detected, the server immediately sends an alert to the user's device.

[0212] Step 9:

[0213] The user terminal notifies the user of the abnormality alert and instructs the user on appropriate countermeasures. The input is the abnormality alert data, and the output is a notification and instruction to the user. For example, if a dog is sensitive to heat, a notification recommending the use of a cooling mat will be sent.

[0214] In this way, pet health management is enhanced and real-time safety measures become possible.

[0215] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0216] The system of the present invention analyzes a pet's genetic information and generates an optimal care plan based on the results, providing it to the user, thereby deepening the happiness and bond between pet and owner. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system provides optimal advice and support according to the user's psychological state. This system includes a server, a user terminal, a generation AI, and an emotion engine.

[0217] Sample collection and delivery

[0218] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab.

[0219] Sample receipt and analysis

[0220] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[0221] Generate personalized care plans

[0222] Based on the analyzed genetic information, the server uses generative AI to generate an individual care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[0223] User emotion recognition and response

[0224] The emotion engine recognizes the user's emotions. It uses sensors such as the camera and microphone on the user's device to analyze facial expressions and tone of voice to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect this and notify the server.

[0225] Care plan notification and implementation

[0226] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0227] Collecting and updating care plan implementation results

[0228] The results of the user's actual implementation of the care plan are recorded on the device. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. The execution result data is automatically sent to the server.

[0229] Emotion-Based Feedback

[0230] The user's emotional data collected by the emotion engine is also sent to the server. The server analyzes the received execution result data and emotional data, and updates the care plan as needed using the generative AI. The server then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[0231] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, recording the results on their device, the server analyzes the data and provides new advice as needed. Furthermore, if the user is feeling stressed, the emotion engine detects this, and the server suggests relaxation techniques and simple care methods to the user. In this way, pets and owners can deepen their bond while achieving health and happiness.

[0232] The processing flow will be explained below.

[0233] Step 1:

[0234] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[0235] Step 2:

[0236] The server receives samples sent from genetic testing laboratories and can receive data from genetic testing laboratories' systems via API.

[0237] Step 3:

[0238] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0239] Step 4:

[0240] The server uses generative AI to generate a personalized care plan based on the analyzed genetic information. Generative AI then suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[0241] Step 5:

[0242] The emotion engine recognizes the user's emotions. It analyzes facial expressions and tone of voice through sensors such as the camera and microphone on the user's device to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine detects this and notifies the server.

[0243] Step 6:

[0244] The server generates an optimal support message based on the generated care plan and the user's emotional information. For example, if the user is feeling stressed, it creates a message containing relaxation techniques and simple care advice.

[0245] Step 7:

[0246] The server sends the generated care plan and support message to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[0247] Step 8:

[0248] The device receives care plans and support messages and notifies the user. It sends push notifications to let users know that new care plans and support messages have arrived and provides the ability to view their details.

[0249] Step 9:

[0250] Users can view care plans and support messages on their device and implement them for their pets, purchase suggested customized food and feed the recommended amounts, incorporate exercise plans into their daily routine, and implement other care methods.

[0251] Step 10:

[0252] The user uses the device to record the care provided. Specifically, an interface is provided for entering the type and amount of food given, the exercise and care details. This execution result data is automatically sent to the server.

[0253] Step 11:

[0254] The emotion engine periodically monitors the user's emotional state, collects data from the device, and updates the support message as needed.

[0255] Step 12:

[0256] The server analyzes the received execution result data and emotion data, and updates the care plan as needed using the generative AI. It then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[0257] Step 13:

[0258] Users can receive and review updated care plans to continue managing their pet's health, helping to foster a healthy and happy pet-owner bond.

[0259] Example 2

[0260] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0261] In pet health management, there is a need not only to provide optimal care plans utilizing genetic information, but also to provide support that takes into account the user's emotional state. Conventional systems simply analyze and provide data on pet health, but lack psychological support for owners. Therefore, there is a need for a system that comprehensively supports the health and happiness of both pets and owners.

[0262] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0263] In this invention, the server includes means for collecting biological samples from the pet, means for analyzing the collected biological samples, a generation AI means for generating an optimized care plan for the pet based on the analyzed genetic information, means for recognizing the user's emotional state using a sensor in the user terminal, means for transmitting the recognized emotional state to the server, means for receiving an execution result of the care plan from the user terminal, and means for updating the care plan based on the execution result and the recognized emotional state. This makes it possible to provide a care plan based on the pet's genetic information while taking the user's emotional state into consideration to provide optimal support.

[0264] "Biological sample" refers to a biological sample such as saliva, hair, or blood taken from a pet.

[0265] "Analysis" refers to the process of decoding genetic information from collected biological samples and identifying health conditions and risks based on the results.

[0266] "Generative AI" refers to artificial intelligence that automatically generates a care plan optimized for your pet based on genetic information and execution result data.

[0267] A "user terminal" is a device used by a user, and includes a smartphone, tablet, PC, etc.

[0268] A "sensor" is a device such as a camera or microphone installed on a user terminal, and is used to detect emotional states such as facial expressions and tone of voice.

[0269] "Emotional state" refers to the user's psychological state, and includes emotions such as stress, joy, and sadness.

[0270] "Execution results" refers to data that records the actions that a user performed based on a care plan and the results of those actions.

[0271] "Update" refers to the process of revising and optimizing an existing care plan based on received execution results and emotional state.

[0272] The "server" is a central computer system that receives and analyzes data, provides generated care plans, and collects and analyzes execution results and emotional states.

[0273] A "care plan" refers to a plan for health management, exercise, diet, etc. that is created based on a pet's genetic information and the results of its implementation.

[0274] This invention is a system that analyzes a pet's genetic information, generates an optimal care plan based on the results, and provides it to the user. It also has the function of recognizing the user's emotional state and providing advice and support accordingly. The system's components include a server, a user terminal, a generation AI, and an emotion engine.

[0275] First, the user uses a dedicated genetic testing kit to collect biological samples such as saliva or hair from their pet. They then swab the inside of their pet's mouth, place the collected saliva sample in the testing kit, and mail the kit to a designated genetic testing lab. The user's device can also provide guidance on the collection procedure and mailing method.

[0276] The server then receives the biological samples from the genetic testing lab and analyzes the genetic information using specialized sequencing software. Specifically, this software decodes the genetic information to identify the pet's constitution, health risks, allergies, and nutrient absorption efficiency. The analysis data plays an important role in pet health management.

[0277] Based on the analyzed genetic information, the server uses a generative AI model to automatically generate a care plan optimized for the pet's characteristics. The generative AI model includes customized food, exercise plans, and health management methods according to the pet's characteristics. For example, if a specific allergy is confirmed, the generative AI will suggest food that excludes that ingredient. The generated care plan is sent from the server to the user's device.

[0278] The user device uses various sensors to recognize the user's emotional state. For example, it uses a camera and microphone to analyze the user's facial expressions and tone of voice to determine whether the user is feeling stressed or happy. The emotional state analyzed by the emotion engine is sent to the server, which then provides more appropriate advice and support.

[0279] While the care plan is being implemented, the user inputs the details and results of the care plan into the user device. This includes the type and amount of food given, the exercise performed, and the care provided. The input data is automatically sent to the server. The server analyzes the received execution result data and the emotion data from the emotion engine, and updates the care plan as necessary. The updated care plan is then sent back to the user device, ensuring continuous, optimized care.

[0280] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to create a care plan that suggests feeding it a food rich in omega-3 fatty acids and using a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, the results are recorded on the device, and the server analyzes the data and provides new advice as needed.

[0281] Example prompts to input to the generative AI model:

[0282] "We have received the results of a sequencing analysis to identify allergy risks in our dog's genetic information. Please generate a care plan that includes a food high in omega-3 fatty acids and a weekly skin care shampoo. Please also suggest a method for providing feedback based on this plan."

[0283] In this way, this invention comprehensively analyzes the pet's genetic information and the user's emotional state, providing optimal care for both, thereby supporting the happiness and health of both pets and their owners.

[0284] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0285] Step 1: Collect and send samples

[0286] Users use a dedicated genetic testing kit to collect biological samples (saliva or hair) from their pet. Specifically, users swab the inside of their pet's mouth and deposit the saliva sample into the testing kit.

[0287] Input: Pet saliva, hair, and other biological samples

[0288] Output: Biological sample contained in a test kit

[0289] The user mails the collected biological sample to a genetic testing lab. Specifically, they follow the enclosed instructions for mailing.

[0290] Step 2: Sample receipt and analysis

[0291] The server receives biological samples sent from genetic testing laboratories.

[0292] Input: Biological samples sent from genetic testing labs

[0293] Output: Received biological specimen

[0294] The server uses specialized sequencing software to analyze the genetic information, specifically decoding it to determine the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0295] Input: Biological sample

[0296] Output: Analysis result data (health risks, allergy information, etc.)

[0297] Step 3: Generate a care plan

[0298] Based on the analyzed genetic information, the server uses a generative AI model to generate an optimized care plan for your pet, including customized food and exercise plans tailored to your pet's characteristics.

[0299] Input: Analysis result data

[0300] Output: Generated care plan

[0301] For example, a prompt such as, "We have received the results of a sequence analysis to identify allergy risks in a dog's genetic information. Please generate a care plan that includes food rich in omega-3 fatty acids and a weekly skin care shampoo" is input into the generation AI.

[0302] Step 4: Recognizing your emotional state

[0303] The device uses sensors such as a camera and microphone to recognize the user's emotional state. Specifically, it analyzes facial expressions and tone of voice to determine the user's emotional state.

[0304] Input: Data on the user's facial expressions and tone of voice

[0305] Output: Emotional state (stress, joy, etc.)

[0306] The results analyzed by the emotion engine are sent to the server.

[0307] Step 5: Communicate your care plan

[0308] The server transmits the generated care plan to the user terminal.

[0309] Input: Generated Care Plan

[0310] Output: Care plan notification to user device

[0311] The device notifies the user of the arrival of the care plan by displaying a pop-up notification or an alert.

[0312] Step 6: Implementing the Care Plan

[0313] The user can check the details of the care plan through the device and follow the instructions to manage their pet's health, such as feeding it specific food or encouraging it to do specific exercises.

[0314] Input: Care plan instructions

[0315] Output: Execution results (food given, exercise performed, etc.)

[0316] Step 7: Collect and update execution results

[0317] The user inputs the results of the care plan into the terminal, for example, "Today's food was given as specified" or "30 minutes of exercise was performed."

[0318] Input: Execution result data entered by the user

[0319] Output: Sending execution result data to the server

[0320] The device automatically transmits this data to the server, which analyzes the received execution result data and emotion data from the emotion engine and updates the care plan as necessary.

[0321] Step 8: Communicate updated care plans

[0322] The updated care plan is again sent to the user terminal.

[0323] Input: Updated Care Plan

[0324] Output: Notification to user terminal

[0325] The user will receive a new care plan and continue to manage their pet's health accordingly.

[0326] In this way, the system is designed to comprehensively support the happiness and health of pets and their owners.

[0327] (Application example 2)

[0328] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0329] Conventional pet care systems are unable to provide comprehensive health management for pets, and it is particularly difficult to provide care plans that take into account genetic information and individual health risks. Furthermore, they do not provide advice that takes into account the owner's emotional state, making it difficult to deepen the bond between owner and pet.

[0330] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the genetic information of the pet, generation AI means for generating a care plan optimized for the pet based on the analyzed genetic information, means for transmitting the generated care plan to a user terminal, means for receiving an execution result of the care plan from the user terminal, means for updating the care plan based on the execution result, emotion engine means for analyzing the emotional state of the user, and means for providing advice based on the emotional state of the user analyzed by the emotion engine means. This makes it possible to comprehensively manage the health of the pet and provide psychological support to the owner.

[0331] "Pets" are animals kept by owners at home, such as dogs and cats.

[0332] "Genetic information" refers to DNA and RNA information that determines the genetic characteristics of an organism, and is used to identify a pet's constitution, health risks, allergies, etc.

[0333] "Means for analysis" refers to equipment or software that analyzes the genetic information collected from the sample and extracts and processes the necessary data.

[0334] "Generative AI means" refers to an artificial intelligence or system that automatically generates individual care plans based on the data and information obtained.

[0335] A "care plan" is a specific set of food, exercise, and other care instructions provided to maintain a pet's health and improve its quality of life.

[0336] A "user terminal" refers to a computer device operated by a user, such as a smartphone, tablet, or PC.

[0337] The "emotion engine means" refers to a device or software for analyzing the user's emotional state, and has the function of analyzing facial expressions and tone of voice.

[0338] "Execution results" refers to data that indicates the execution process and results of the provided care plan, and are used to optimize the next care plan.

[0339] The "means for providing advice" refers to a means for providing appropriate advice or suggestions to the user based on the analyzed emotional information and other data.

[0340] A specific system configuration and operation for implementing the present invention will be described.

[0341] System Configuration

[0342] The system of the present invention consists of the following main components:

[0343] 1. A method for analyzing the genetic information of pets

[0344] Samples of pet saliva, hair, etc. are analyzed in a genetic testing lab.

[0345] The analysis is performed using a DNA sequencing device and sequence analysis software.

[0346] 2. Generation AI means

[0347] It uses generative AI models that generate optimized care plans for pets based on their genetic information.

[0348] Generative AI models process data related to health risk management and nutrition plan development.

[0349] 3. Means of sending to user terminal

[0350] The generated care plan is sent to the user's smartphone or tablet via the Internet.

[0351] 4. Means of receiving execution results from user terminals

[0352] The user terminal records the results of the execution of the care plan and transmits them to the server.

[0353] The execution results include the type and amount of food, exercise content, etc.

[0354] 5. A means to update the care plan based on the results of the implementation

[0355] Based on the execution results, the server updates the care plan using an AI model.

[0356] 6. Emotional Engine Means

[0357] It includes an emotion engine that uses the camera and microphone of the user terminal to analyze the user's emotions.

[0358] The emotion engine analyzes facial expressions and tone of voice to determine the user's psychological state.

[0359] 7. Means of Providing Advice

[0360] Based on the user's emotional state analyzed by the emotion engine, the server generates and provides appropriate advice to the user.

[0361] This allows for support that takes into account the user's psychological state.

[0362] Example of operation

[0363] First, the user collects a sample from their pet using a dedicated genetic testing kit. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab. The genetic testing lab analyzes the sample and extracts the pet's genetic information.

[0364] The analyzed genetic information is then sent to a server, which uses a generative AI model to generate a personalized care plan based on the genetic information, including specific health management techniques, such as customized food and exercise plans for specific allergies.

[0365] The generated care plan is sent to the user's terminal. The user's terminal notifies the user that a new care plan has arrived. The user checks the details of the care plan through the terminal and manages the pet's health in accordance with the plan. The results of the implementation, such as the type and amount of food given and the details of the exercise performed, are recorded and sent to the server.

[0366] The emotion engine analyzes the user's emotions by analyzing facial expressions and tone of voice using the device's camera and microphone. If the emotion engine detects the user's stress level, the server will provide appropriate relaxation suggestions and advice.

[0367] This data is aggregated on a server, and the generative AI model continuously updates the care plan, revising the existing plan based on the new data, and then sending the optimized care plan back to the user's device.

[0368] Prompt Sentence Examples

[0369] Prompt: Generate an optimal care plan based on this pet's genetic information. If the pet is a dog, exclude ingredients if the user is allergic. Also, suggest activities if the user is stressed.

[0370] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0371] Step 1:

[0372] Users use a dedicated genetic testing kit to collect samples from their pets and mail them to a genetic testing lab.

[0373] What it does: The user swabs the inside of their pet's mouth, collects a saliva sample, places it in a test kit, and then mails the kit to a designated genetic testing lab.

[0374] Input: Pet saliva sample

[0375] Output: Samples mailed to the lab

[0376] Step 2:

[0377] A genetic testing laboratory receives the sample and analyzes the genetic information.

[0378] What it does: The lab uses DNA sequencing equipment and sequence analysis software to analyze the genetic information in the sample.

[0379] Input: Sample

[0380] Output: Analyzed genetic information

[0381] Step 3:

[0382] The genetic information is sent to a server, and an optimal care plan is generated by a generative AI means.

[0383] How it works: The server receives the genetic information and activates a generative AI model to generate an optimal care plan for your pet based on the analyzed data, for example, recommending a customized food based on allergy information.

[0384] Input: Analyzed genetic information

[0385] Output: Care plan

[0386] Step 4:

[0387] The generated care plan is sent to the user's terminal and notified.

[0388] Specific operation: The server sends the generated care plan to the user's smartphone or tablet, and the user device displays a notification of the new care plan.

[0389] Input: Care Plan

[0390] Output: Notification on user's device

[0391] Step 5:

[0392] The user executes the care plan through the terminal and records the results.

[0393] Specific operations: The user manages their pet's health according to the care plan and records the results of their actions (e.g., the type and amount of food given, the exercise performed, etc.) on the device.

[0394] Input: Care plan execution results

[0395] Output: Recorded execution results

[0396] Step 6:

[0397] The execution results are sent from the user terminal to the server.

[0398] Specific operation: The user terminal sends the execution results to the server via the Internet.

[0399] Input: Recorded execution results

[0400] Output: Execution results sent to the server

[0401] Step 7:

[0402] The server updates the care plan based on the execution results using a generation AI means.

[0403] Specific operation: The server analyzes the received execution results and corrects and updates the care plan as necessary, for example, by evaluating whether the execution plan is working well and making improvements.

[0404] Input: Execution result

[0405] Output: Updated care plan

[0406] Step 8:

[0407] An emotion engine means operates to analyze the user's emotional state.

[0408] Specific operation: Using the camera and microphone on the user's device, the emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state.

[0409] Input: User's facial expressions and voice

[0410] Output: User's emotional information

[0411] Step 9:

[0412] The server provides advice based on the emotion information analyzed by the emotion engine.

[0413] Specific operation: When a user feels stressed, the server generates relaxation suggestions and simple care advice and sends them to the user's device.

[0414] Input: Emotion information

[0415] Output: Advice

[0416] 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.

[0417] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0418] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0419] [Second embodiment]

[0420] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0421] 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.

[0422] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0423] 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.

[0424] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0425] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0426] 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.

[0427] 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.

[0428] 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 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.

[0429] 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.

[0430] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0431] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0432] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0433] Sample collection and delivery

[0434] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they use a cotton swab to scrub the inside of their pet's mouth and deposit the saliva sample into the testing kit. The user then mails this sample kit to a designated genetic testing lab.

[0435] Sample receipt and analysis

[0436] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[0437] Generate personalized care plans

[0438] Based on the analyzed genetic information, the server uses generative AI to generate an individualized care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it can suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[0439] Care plan notification and implementation

[0440] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0441] Collecting and updating care plan implementation results

[0442] The device records the results of the user's actual implementation of the care plan. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. This implementation result data is automatically sent to the server.

[0443] Ongoing monitoring and feedback

[0444] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The existing plan can be revised based on the new data, and an optimized care plan can be sent back to the user's device, providing continuous support for pet health management.

[0445] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend a food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo according to the plan and records the results on their device, the server analyzes the data and provides new advice as needed. In this way, the bond between pet and owner is strengthened while achieving health and happiness.

[0446] The processing flow will be explained below.

[0447] Step 1:

[0448] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[0449] Step 2:

[0450] The server receives samples sent from genetic testing laboratories, connects to the genetic testing laboratory's system, and receives sample data via API.

[0451] Step 3:

[0452] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0453] Step 4:

[0454] Based on the analyzed genetic information, the server uses generative AI to generate a personalized care plan, which suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[0455] Step 5:

[0456] The server sends the generated care plan to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[0457] Step 6:

[0458] The device receives the care plan and notifies the user by sending a push notification to let the user know that a new care plan has arrived and to provide the ability to view the details.

[0459] Step 7:

[0460] Users can view the care plan through the device and implement it for their pet, purchasing the suggested customized food and feeding it in the recommended amounts, incorporating the exercise plan into their daily routine, and implementing other care methods.

[0461] Step 8:

[0462] The device records the care provided by the user, providing an interface for inputting details of the type and amount of food given, the exercise and care provided, etc. This data is automatically sent to the server.

[0463] Step 9:

[0464] The server analyzes the received execution result data and updates the care plan as necessary. The generation AI analyzes the new data and extracts improvements to the existing plan. The newly optimized care plan is then sent back to the user's device.

[0465] Step 10:

[0466] Users receive and review updated care plans to continue managing their pet's health, providing optimal care based on their pet's individual characteristics and genetic factors.

[0467] Example 1

[0468] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0469] In pet health management, it is extremely important to provide an optimal care plan for each individual pet. However, current technology lacks systems that can properly analyze a pet's genetic information and create an individual care plan based on the results. Furthermore, the functionality to collect the results of care plan implementation and update the care plan based on those results is also insufficient. This makes it difficult to continuously monitor a pet's health and provide optimal health management.

[0470] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0471] In this invention, the server includes means for collecting genetic information about pets, means for analyzing the collected genetic information, generation AI means for generating a care plan optimized for the pet, means for transmitting the generated care plan to a user terminal, and means for receiving execution results of the care plan from the user terminal and updating the care plan based on the execution results. This makes it possible to provide an optimal care plan for each individual pet based on the pet's genetic information and to continuously update the plan based on the execution results of the care plan.

[0472] "Means for collecting genetic information from pets" refers to tools and methods for collecting biological samples such as saliva and hair from pets.

[0473] "Means for analyzing genetic information" refers to methods and devices that analyze collected genetic samples from pets to identify DNA sequences and obtain information such as physical constitution and health risks.

[0474] "Generative AI means" refers to artificial intelligence algorithms or software that automatically generate care plans appropriate for individual pets based on analyzed genetic information about the pet.

[0475] "Means for transmitting a care plan to a user terminal" refers to a communication device or protocol that transfers the created care plan to a terminal such as a smartphone or computer used by the user.

[0476] "Means for receiving the results of care plan implementation from the user terminal" refers to a communication device or protocol for recording the details of the care plan implementation carried out by the user and transferring that data to the server.

[0477] "Means for updating a care plan" refers to a method or device that uses a generation AI to modify an existing care plan or generate a new one based on the execution results received from the user.

[0478] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0479] Sample collection and delivery

[0480] First, users collect a sample from their pet using a dedicated genetic testing kit. The kit includes a cotton swab, a sample container, and a mailing envelope. Users swab the inside of their pet's mouth and deposit the saliva sample into the kit's container. They then mail the sample kit to a genetic testing lab.

[0481] Sample receipt and analysis

[0482] Next, the server receives the sample from the genetic testing lab. A receipt notification is sent to the user's device. The server is connected to an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) and performs sequencing analysis of the DNA extracted from the sample. At this stage, the pet's constitution, health risks, allergies, and nutrient absorption efficiency are identified.

[0483] Generate personalized care plans

[0484] Based on the analysis results, the server uses generative AI (e.g., OpenAI GPT-4) to generate an optimal care plan for each individual pet. This care plan includes customized food, exercise plans, and other health management methods that are best suited to the pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient.

[0485] Care plan notification and implementation

[0486] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0487] Collecting and updating care plan implementation results

[0488] The user records the results of the care plan on the device. To do so, they input the type and amount of food given, the exercise performed, etc. through the interface provided on the device. This execution result data is automatically sent to the server.

[0489] Ongoing monitoring and feedback

[0490] The server analyzes the results and evaluates the care plan based on the new data. Using generative AI, it updates the care plan as needed. This updated care plan is then sent back to the user's device, providing ongoing support for pet health management.

[0491] Specific examples

[0492] For example, if the analysis shows that a Shih Tzu is at risk for atopic dermatitis, the server uses generative AI to create the following care plan:

[0493] Recommended foods: Foods rich in omega-3 fatty acids

[0494] Care products: specific shampoo once a week

[0495] Exercise plan: Daily light walks and specific exercises once a month

[0496] The user follows this care plan, uses appropriate food and shampoo for the Shih Tzu, and records the results on the device. The server analyzes the data and provides new advice as needed.

[0497] Prompt Sentence Examples

[0498] For example, you might give the generator a prompt like this:

[0499] "The analysis results show that my Shih Tzu is at risk for atopic dermatitis. What is the best care plan?"

[0500] As described above, this system provides optimal care plans for individual pets based on their genetic information, and by updating the plans based on the results of their implementation, it is possible to continuously manage a pet's health.

[0501] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0502] Step 1:

[0503] Users collect samples from their pets using a dedicated genetic testing kit.

[0504] Input: Genetic testing kits, pet saliva and hair

[0505] Specific steps: Use a cotton swab to scrub the inside of your pet's mouth and collect a saliva sample in the test kit's container.

[0506] Output: Samples taken

[0507] Step 2:

[0508] The user mails the collected sample to a designated genetic testing lab.

[0509] Input: Sample in test kit, mailing envelope

[0510] What happens: Place the sample in a mailing envelope and mail it to a genetic testing lab.

[0511] Output: Sample arriving at genetic testing lab

[0512] Step 3:

[0513] The server receives samples from genetic testing laboratories.

[0514] Input: Sample sent from genetic testing lab

[0515] Specific operation: The server confirms the arrival of the sample and automatically sends a receipt notification to the user terminal.

[0516] Output: Acknowledgement to user terminal

[0517] Step 4:

[0518] The server sends the genetic information of the sample to an analysis system for analysis.

[0519] Input: Received genetic sample

[0520] Specific operation: DNA sequencing is performed using an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) to identify data such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0521] Output: Analyzed genetic information

[0522] Step 5:

[0523] The server sends data to the generation AI based on the analysis results.

[0524] Input: Analyzed genetic information

[0525] Specific behavior: Input the analysis results into the generation AI and send prompts to generate a personalized care plan. Example: "Generate the optimal care plan based on this pet's genetic information."

[0526] Output: Generated care plan

[0527] Step 6:

[0528] The server transmits the generated care plan to the user terminal.

[0529] Input: Care plan output from the generation AI

[0530] Specific operation: Sends the contents of the care plan to the user's terminal and notifies the user of the arrival of a new care plan.

[0531] Output: Care plan notification to user device

[0532] Step 7:

[0533] Users can check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0534] Input: Care plan sent to user device

[0535] Specific actions: Follow the care plan, feed the specified customized food, and complete the suggested exercise plan.

[0536] Output: Executed care plan

[0537] Step 8:

[0538] The user records the results of the executed care plan on the terminal.

[0539] Input: details of care provided, type and amount of food, exercise details

[0540] Specific operations: Enter each item using the terminal interface.

[0541] Output: Execution result data

[0542] Step 9:

[0543] The terminal automatically transmits the execution result data to the server.

[0544] Input: Execution result data entered into the user's terminal

[0545] Specific operation: Transfer the execution results to the server.

[0546] Output: Execution result data sent to the server

[0547] Step 10:

[0548] The server analyzes the received execution result data and uses the generative AI to update the care plan as needed.

[0549] Input: Execution result data

[0550] Specific behavior: Evaluate the care plan based on new data and generate an updated care plan using generative AI if necessary.

[0551] Output: Updated care plan

[0552] Step 11:

[0553] The server again transmits the updated care plan to the user terminal.

[0554] Input: Updated Care Plan

[0555] Specific operation: The contents of the updated care plan are sent to the user terminal.

[0556] Output: Update care plan notification to user device

[0557] By going through the above steps, continuous health management based on your pet's genetic information can be achieved, deepening the happiness and bond between pet and owner.

[0558] (Application example 1)

[0559] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0560] In today's world, pet health management and safety measures are important issues for pet owners. However, there is a lack of systems that provide customized approaches based on each pet's individual health risks and behavioral patterns. While conventional methods can analyze a pet's genetic information and propose care plans based on the results, a major problem is the lack of real-time monitoring or immediate feedback. In addition, there is a lack of systems that can monitor a pet's behavior over the long term and detect health risks or abnormalities early.

[0561] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0562] In this invention, the server includes a means for analyzing the genetic information of the pet, an AI generation means for generating a care plan optimized for the pet based on the analyzed genetic information, a means for transmitting the generated care plan to a user terminal, a means for receiving execution results of the care plan from the user terminal, a means for updating the care plan based on the execution results, a means for monitoring the pet's behavior in real time, and a means for detecting abnormalities based on the monitoring results and sending an alert to the user terminal. This allows for advanced pet health management and real-time safety measures. Furthermore, by continuously monitoring the pet's health condition and behavior and detecting abnormalities early, health risks to the pet can be reduced.

[0563] A "means for analyzing genetic information of a pet" is a device or system that collects genetic samples from a pet and analyzes the genetic information in detail using appropriate analysis software.

[0564] The "generative AI means" is a system that includes artificial intelligence technology that generates care plans and security measures optimized for pets based on analyzed genetic information.

[0565] The "means for transmitting to a user terminal" is a system that transmits data of the generated care plan or security measure plan to a terminal such as a smartphone or computer owned by the user.

[0566] The "means for receiving the results of care plan execution" is a device or system that records the results of a user's execution of a care plan and that the server receives the data.

[0567] The "means for updating the care plan" is a system that reviews the existing care plan based on the received execution result data, generates new guidance and plans as necessary, and provides them to the user.

[0568] "Means for monitoring pet behavior in real time" refers to a system that uses cameras and sensors to continuously monitor pet behavior and collect data in real time.

[0569] The "means for detecting abnormalities and sending alerts to user terminals" is a system that analyzes collected monitoring data and sends a warning message to user terminals when an abnormality is detected.

[0570] The "generative AI means for generating security measures plans" is a system that uses artificial intelligence to generate plans proposing safety measures for pets based on genetic information and monitoring data.

[0571] The "means for detecting health risks and suggesting preventive measures" is a system that continuously monitors the health of pets, detects risks early, and suggests preventive measures to users based on that information.

[0572] This invention relates to a system that analyzes the genetic information of pets and generates and provides optimal care plans and security measures plans based on the results. The system includes multiple means, each of which functions in conjunction with one another.

[0573] First, the user uses a dedicated genetic testing kit to collect a sample (such as saliva or hair) from their pet and sends it to a testing lab. The sample is then analyzed by a server using genetic information analysis software. The analysis results provide detailed data on the pet's constitution and health risks.

[0574] The server then uses a generative AI model (such as GPT or BERT) based on the analysis results to generate a care plan and security measures optimized for the pet. The plan is then sent to the user's device (smartphone, computer, etc.), where the user can review it and use it to manage their pet's health.

[0575] Additionally, physical surveillance cameras and sensors such as smart collars are used to monitor pet behavior in real time, constantly collecting data on pet behavior and the environment, and instantly sending alerts to the user's device if an abnormality is detected.

[0576] For example, if a genetic analysis of a dog indicates that it is at high risk of heatstroke, the generative AI might suggest the following security plan:

[0577] "Analysis has shown that this dog is sensitive to heat. Please consider adjusting the temperature setting of the air conditioner automatically and using a cooling mat. Also, when going outside, please choose a place with plenty of shade."

[0578] This suggestion is notified to the user terminal, allowing the user to immediately take appropriate measures.

[0579] The server also receives the results of the care plan execution from the user's device, analyzes the data, and uses the generative AI to update the care plan based on the results. By then sending the optimized plan back to the user's device, the server can continuously support the pet's health management.

[0580] To implement this invention, the following hardware and software are used:

[0581] Hardware:

[0582] Smartphone (iOS, Android)

[0583] Head-mounted display (AR / VR compatible device)

[0584] server

[0585] Sensors such as surveillance cameras and smart collars

[0586] software:

[0587] Genetic Analysis Software

[0588] Database software (MySQL, PostgreSQL, etc.)

[0589] Generative AI models (GPT, BERT, etc.)

[0590] Real-time monitoring app (React Native, Flutter)

[0591] The above system will enhance pet health management and enable real-time safety measures. Furthermore, by continuously monitoring pet health and behavior and detecting abnormalities early, it will be possible to reduce health risks for pets.

[0592] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0593] Step 1:

[0594] The user uses a dedicated genetic testing kit to collect samples such as saliva or hair from their pet, and then mails the sample to a testing lab via the user's terminal. At this stage, the input is the pet's biological sample, and the output is the sample sent to the testing lab.

[0595] Step 2:

[0596] The server receives samples sent from the testing laboratory and analyzes them using genetic information analysis software. The input is the received biological sample, and the output is the analyzed genetic information data. This data includes the pet's constitution, health risks, and whether or not there are any allergies.

[0597] Step 3:

[0598] The server uses a generative AI model based on the analysis results to generate a care plan and security plan optimized for the pet. The input is the analyzed genetic information data, and the output is the generated care plan and security plan. For example, if a specific allergy is confirmed, the generative AI will suggest a customized food that excludes that ingredient.

[0599] Step 4:

[0600] The server sends the generated care plan or security measure plan to the user terminal. The input is the generated care plan or security measure plan, and the output is a notification of the plan to the user terminal. The user terminal uses a notification function to notify the user that a new plan has arrived.

[0601] Step 5:

[0602] The user checks the details of the care plan through the user terminal and begins actual health management of the pet. Specifically, the user checks the type and amount of food to be fed, the details of exercise, etc. At this stage, the input is the care plan received by the user terminal, and the output is the implementation of the execution plan on the pet.

[0603] Step 6:

[0604] After executing the care plan, the user inputs the execution results through the user terminal. For example, the type and amount of food given, the exercise performed, and the details of care are recorded. The input is the execution result data, and the output is data sent to the server.

[0605] Step 7:

[0606] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The input is the execution result data, and the output is an updated care plan. The existing plan is revised based on the new data and resent to the user device.

[0607] Step 8:

[0608] To monitor pet behavior in real time, the server collects data from surveillance cameras and smart collars. The input is sensor data, and the output is monitored behavior data. If an abnormality is detected, the server immediately sends an alert to the user's device.

[0609] Step 9:

[0610] The user terminal notifies the user of the abnormality alert and instructs the user on appropriate countermeasures. The input is the abnormality alert data, and the output is a notification and instruction to the user. For example, if a dog is sensitive to heat, a notification recommending the use of a cooling mat will be sent.

[0611] In this way, pet health management is enhanced and real-time safety measures become possible.

[0612] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0613] The system of the present invention analyzes a pet's genetic information and generates an optimal care plan based on the results, providing it to the user, thereby deepening the happiness and bond between pet and owner. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system provides optimal advice and support according to the user's psychological state. This system includes a server, a user terminal, a generation AI, and an emotion engine.

[0614] Sample collection and delivery

[0615] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab.

[0616] Sample receipt and analysis

[0617] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[0618] Generate personalized care plans

[0619] Based on the analyzed genetic information, the server uses generative AI to generate an individual care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[0620] User emotion recognition and response

[0621] The emotion engine recognizes the user's emotions. It uses sensors such as the camera and microphone on the user's device to analyze facial expressions and tone of voice to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect this and notify the server.

[0622] Care plan notification and implementation

[0623] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0624] Collecting and updating care plan implementation results

[0625] The results of the user's actual implementation of the care plan are recorded on the device. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. The execution result data is automatically sent to the server.

[0626] Emotion-Based Feedback

[0627] The user's emotional data collected by the emotion engine is also sent to the server. The server analyzes the received execution result data and emotional data, and updates the care plan as needed using the generative AI. The server then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[0628] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, recording the results on their device, the server analyzes the data and provides new advice as needed. Furthermore, if the user is feeling stressed, the emotion engine detects this, and the server suggests relaxation techniques and simple care methods to the user. In this way, pets and owners can deepen their bond while achieving health and happiness.

[0629] The processing flow will be explained below.

[0630] Step 1:

[0631] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[0632] Step 2:

[0633] The server receives samples sent from genetic testing laboratories and can receive data from genetic testing laboratories' systems via API.

[0634] Step 3:

[0635] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0636] Step 4:

[0637] The server uses generative AI to generate a personalized care plan based on the analyzed genetic information. Generative AI then suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[0638] Step 5:

[0639] The emotion engine recognizes the user's emotions. It analyzes facial expressions and tone of voice through sensors such as the camera and microphone on the user's device to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine detects this and notifies the server.

[0640] Step 6:

[0641] The server generates an optimal support message based on the generated care plan and the user's emotional information. For example, if the user is feeling stressed, it creates a message containing relaxation techniques and simple care advice.

[0642] Step 7:

[0643] The server sends the generated care plan and support message to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[0644] Step 8:

[0645] The device receives care plans and support messages and notifies the user. It sends push notifications to let users know that new care plans and support messages have arrived and provides the ability to view their details.

[0646] Step 9:

[0647] Users can view care plans and support messages on their device and implement them for their pets, purchase suggested customized food and feed the recommended amounts, incorporate exercise plans into their daily routine, and implement other care methods.

[0648] Step 10:

[0649] The user uses the device to record the care provided. Specifically, an interface is provided for entering the type and amount of food given, the exercise and care details. This execution result data is automatically sent to the server.

[0650] Step 11:

[0651] The emotion engine periodically monitors the user's emotional state, collects data from the device, and updates the support message as needed.

[0652] Step 12:

[0653] The server analyzes the received execution result data and emotion data, and updates the care plan as needed using the generative AI. It then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[0654] Step 13:

[0655] Users can receive and review updated care plans to continue managing their pet's health, helping to foster a healthy and happy pet-owner bond.

[0656] Example 2

[0657] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0658] In pet health management, there is a need not only to provide optimal care plans utilizing genetic information, but also to provide support that takes into account the user's emotional state. Conventional systems simply analyze and provide data on pet health, but lack psychological support for owners. Therefore, there is a need for a system that comprehensively supports the health and happiness of both pets and owners.

[0659] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0660] In this invention, the server includes means for collecting biological samples from the pet, means for analyzing the collected biological samples, a generation AI means for generating an optimized care plan for the pet based on the analyzed genetic information, means for recognizing the user's emotional state using a sensor in the user terminal, means for transmitting the recognized emotional state to the server, means for receiving an execution result of the care plan from the user terminal, and means for updating the care plan based on the execution result and the recognized emotional state. This makes it possible to provide a care plan based on the pet's genetic information while taking the user's emotional state into consideration to provide optimal support.

[0661] "Biological sample" refers to a biological sample such as saliva, hair, or blood taken from a pet.

[0662] "Analysis" refers to the process of decoding genetic information from collected biological samples and identifying health conditions and risks based on the results.

[0663] "Generative AI" refers to artificial intelligence that automatically generates a care plan optimized for your pet based on genetic information and execution result data.

[0664] A "user terminal" is a device used by a user, and includes a smartphone, tablet, PC, etc.

[0665] A "sensor" is a device such as a camera or microphone installed on a user terminal, and is used to detect emotional states such as facial expressions and tone of voice.

[0666] "Emotional state" refers to the user's psychological state, and includes emotions such as stress, joy, and sadness.

[0667] "Execution results" refers to data that records the actions that a user performed based on a care plan and the results of those actions.

[0668] "Update" refers to the process of revising and optimizing an existing care plan based on received execution results and emotional state.

[0669] The "server" is a central computer system that receives and analyzes data, provides generated care plans, and collects and analyzes execution results and emotional states.

[0670] A "care plan" refers to a plan for health management, exercise, diet, etc. that is created based on a pet's genetic information and the results of its implementation.

[0671] This invention is a system that analyzes a pet's genetic information, generates an optimal care plan based on the results, and provides it to the user. It also has the function of recognizing the user's emotional state and providing advice and support accordingly. The system's components include a server, a user terminal, a generation AI, and an emotion engine.

[0672] First, the user uses a dedicated genetic testing kit to collect biological samples such as saliva or hair from their pet. They then swab the inside of their pet's mouth, place the collected saliva sample in the testing kit, and mail the kit to a designated genetic testing lab. The user's device can also provide guidance on the collection procedure and mailing method.

[0673] The server then receives the biological samples from the genetic testing lab and analyzes the genetic information using specialized sequencing software. Specifically, this software decodes the genetic information to identify the pet's constitution, health risks, allergies, and nutrient absorption efficiency. The analysis data plays an important role in pet health management.

[0674] Based on the analyzed genetic information, the server uses a generative AI model to automatically generate a care plan optimized for the pet's characteristics. The generative AI model includes customized food, exercise plans, and health management methods according to the pet's characteristics. For example, if a specific allergy is confirmed, the generative AI will suggest food that excludes that ingredient. The generated care plan is sent from the server to the user's device.

[0675] The user device uses various sensors to recognize the user's emotional state. For example, it uses a camera and microphone to analyze the user's facial expressions and tone of voice to determine whether the user is feeling stressed or happy. The emotional state analyzed by the emotion engine is sent to the server, which then provides more appropriate advice and support.

[0676] While the care plan is being implemented, the user inputs the details and results of the care plan into the user device. This includes the type and amount of food given, the exercise performed, and the care provided. The input data is automatically sent to the server. The server analyzes the received execution result data and the emotion data from the emotion engine, and updates the care plan as necessary. The updated care plan is then sent back to the user device, ensuring continuous, optimized care.

[0677] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to create a care plan that suggests feeding it a food rich in omega-3 fatty acids and using a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, the results are recorded on the device, and the server analyzes the data and provides new advice as needed.

[0678] Example prompts to input to the generative AI model:

[0679] "We have received the results of a sequencing analysis to identify allergy risks in our dog's genetic information. Please generate a care plan that includes a food high in omega-3 fatty acids and a weekly skin care shampoo. Please also suggest a method for providing feedback based on this plan."

[0680] In this way, this invention comprehensively analyzes the pet's genetic information and the user's emotional state, providing optimal care for both, thereby supporting the happiness and health of both pets and their owners.

[0681] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0682] Step 1: Collect and send samples

[0683] Users use a dedicated genetic testing kit to collect biological samples (saliva or hair) from their pet. Specifically, users swab the inside of their pet's mouth and deposit the saliva sample into the testing kit.

[0684] Input: Pet saliva, hair, and other biological samples

[0685] Output: Biological sample contained in a test kit

[0686] The user mails the collected biological sample to a genetic testing lab. Specifically, they follow the enclosed instructions for mailing.

[0687] Step 2: Sample receipt and analysis

[0688] The server receives biological samples sent from genetic testing laboratories.

[0689] Input: Biological samples sent from genetic testing labs

[0690] Output: Received biological specimen

[0691] The server uses specialized sequencing software to analyze the genetic information, specifically decoding it to determine the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0692] Input: Biological sample

[0693] Output: Analysis result data (health risks, allergy information, etc.)

[0694] Step 3: Generate a care plan

[0695] Based on the analyzed genetic information, the server uses a generative AI model to generate an optimized care plan for your pet, including customized food and exercise plans tailored to your pet's characteristics.

[0696] Input: Analysis result data

[0697] Output: Generated care plan

[0698] For example, a prompt such as, "We have received the results of a sequence analysis to identify allergy risks in a dog's genetic information. Please generate a care plan that includes food rich in omega-3 fatty acids and a weekly skin care shampoo" is input into the generation AI.

[0699] Step 4: Recognizing your emotional state

[0700] The device uses sensors such as a camera and microphone to recognize the user's emotional state. Specifically, it analyzes facial expressions and tone of voice to determine the user's emotional state.

[0701] Input: Data on the user's facial expressions and tone of voice

[0702] Output: Emotional state (stress, joy, etc.)

[0703] The results analyzed by the emotion engine are sent to the server.

[0704] Step 5: Communicate your care plan

[0705] The server transmits the generated care plan to the user terminal.

[0706] Input: Generated Care Plan

[0707] Output: Care plan notification to user device

[0708] The device notifies the user of the arrival of the care plan by displaying a pop-up notification or an alert.

[0709] Step 6: Implementing the Care Plan

[0710] The user can check the details of the care plan through the device and follow the instructions to manage their pet's health, such as feeding it specific food or encouraging it to do specific exercises.

[0711] Input: Care plan instructions

[0712] Output: Execution results (food given, exercise performed, etc.)

[0713] Step 7: Collect and update execution results

[0714] The user inputs the results of the care plan into the terminal, for example, "Today's food was given as specified" or "30 minutes of exercise was performed."

[0715] Input: Execution result data entered by the user

[0716] Output: Sending execution result data to the server

[0717] The device automatically transmits this data to the server, which analyzes the received execution result data and emotion data from the emotion engine and updates the care plan as necessary.

[0718] Step 8: Communicate updated care plans

[0719] The updated care plan is again sent to the user terminal.

[0720] Input: Updated Care Plan

[0721] Output: Notification to user terminal

[0722] The user will receive a new care plan and continue to manage their pet's health accordingly.

[0723] In this way, the system is designed to comprehensively support the happiness and health of pets and their owners.

[0724] (Application example 2)

[0725] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0726] Conventional pet care systems are unable to provide comprehensive health management for pets, and it is particularly difficult to provide care plans that take into account genetic information and individual health risks. Furthermore, they do not provide advice that takes into account the owner's emotional state, making it difficult to deepen the bond between owner and pet.

[0727] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the genetic information of the pet, generation AI means for generating a care plan optimized for the pet based on the analyzed genetic information, means for transmitting the generated care plan to a user terminal, means for receiving an execution result of the care plan from the user terminal, means for updating the care plan based on the execution result, emotion engine means for analyzing the emotional state of the user, and means for providing advice based on the emotional state of the user analyzed by the emotion engine means. This makes it possible to comprehensively manage the health of the pet and provide psychological support to the owner.

[0728] "Pets" are animals kept by owners at home, such as dogs and cats.

[0729] "Genetic information" refers to DNA and RNA information that determines the genetic characteristics of an organism, and is used to identify a pet's constitution, health risks, allergies, etc.

[0730] "Means for analysis" refers to equipment or software that analyzes the genetic information collected from the sample and extracts and processes the necessary data.

[0731] "Generative AI means" refers to an artificial intelligence or system that automatically generates individual care plans based on the data and information obtained.

[0732] A "care plan" is a specific set of food, exercise, and other care instructions provided to maintain a pet's health and improve its quality of life.

[0733] A "user terminal" refers to a computer device operated by a user, such as a smartphone, tablet, or PC.

[0734] The "emotion engine means" refers to a device or software for analyzing the user's emotional state, and has the function of analyzing facial expressions and tone of voice.

[0735] "Execution results" refers to data that indicates the execution process and results of the provided care plan, and are used to optimize the next care plan.

[0736] The "means for providing advice" refers to a means for providing appropriate advice or suggestions to the user based on the analyzed emotional information and other data.

[0737] A specific system configuration and operation for implementing the present invention will be described.

[0738] System Configuration

[0739] The system of the present invention consists of the following main components:

[0740] 1. A method for analyzing the genetic information of pets

[0741] Samples of pet saliva, hair, etc. are analyzed in a genetic testing lab.

[0742] The analysis is performed using a DNA sequencing device and sequence analysis software.

[0743] 2. Generation AI means

[0744] It uses generative AI models that generate optimized care plans for pets based on their genetic information.

[0745] Generative AI models process data related to health risk management and nutrition plan development.

[0746] 3. Means of sending to user terminal

[0747] The generated care plan is sent to the user's smartphone or tablet via the Internet.

[0748] 4. Means of receiving execution results from user terminals

[0749] The user terminal records the results of the execution of the care plan and transmits them to the server.

[0750] The execution results include the type and amount of food, exercise content, etc.

[0751] 5. A means to update the care plan based on the results of the implementation

[0752] Based on the execution results, the server updates the care plan using an AI model.

[0753] 6. Emotional Engine Means

[0754] It includes an emotion engine that uses the camera and microphone of the user terminal to analyze the user's emotions.

[0755] The emotion engine analyzes facial expressions and tone of voice to determine the user's psychological state.

[0756] 7. Means of Providing Advice

[0757] Based on the user's emotional state analyzed by the emotion engine, the server generates and provides appropriate advice to the user.

[0758] This allows for support that takes into account the user's psychological state.

[0759] Example of operation

[0760] First, the user collects a sample from their pet using a dedicated genetic testing kit. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab. The genetic testing lab analyzes the sample and extracts the pet's genetic information.

[0761] The analyzed genetic information is then sent to a server, which uses a generative AI model to generate a personalized care plan based on the genetic information, including specific health management techniques, such as customized food and exercise plans for specific allergies.

[0762] The generated care plan is sent to the user's terminal. The user's terminal notifies the user that a new care plan has arrived. The user checks the details of the care plan through the terminal and manages the pet's health in accordance with the plan. The results of the implementation, such as the type and amount of food given and the details of the exercise performed, are recorded and sent to the server.

[0763] The emotion engine analyzes the user's emotions by analyzing facial expressions and tone of voice using the device's camera and microphone. If the emotion engine detects the user's stress level, the server will provide appropriate relaxation suggestions and advice.

[0764] This data is aggregated on a server, and the generative AI model continuously updates the care plan, revising the existing plan based on the new data, and then sending the optimized care plan back to the user's device.

[0765] Prompt Sentence Examples

[0766] Prompt: Generate an optimal care plan based on this pet's genetic information. If the pet is a dog, exclude ingredients if the user is allergic. Also, suggest activities if the user is stressed.

[0767] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0768] Step 1:

[0769] Users use a dedicated genetic testing kit to collect samples from their pets and mail them to a genetic testing lab.

[0770] What it does: The user swabs the inside of their pet's mouth, collects a saliva sample, places it in a test kit, and then mails the kit to a designated genetic testing lab.

[0771] Input: Pet saliva sample

[0772] Output: Samples mailed to the lab

[0773] Step 2:

[0774] A genetic testing laboratory receives the sample and analyzes the genetic information.

[0775] What it does: The lab uses DNA sequencing equipment and sequence analysis software to analyze the genetic information in the sample.

[0776] Input: Sample

[0777] Output: Analyzed genetic information

[0778] Step 3:

[0779] The genetic information is sent to a server, and an optimal care plan is generated by a generative AI means.

[0780] How it works: The server receives the genetic information and activates a generative AI model to generate an optimal care plan for your pet based on the analyzed data, for example, recommending a customized food based on allergy information.

[0781] Input: Analyzed genetic information

[0782] Output: Care plan

[0783] Step 4:

[0784] The generated care plan is sent to the user's terminal and notified.

[0785] Specific operation: The server sends the generated care plan to the user's smartphone or tablet, and the user device displays a notification of the new care plan.

[0786] Input: Care Plan

[0787] Output: Notification on user's device

[0788] Step 5:

[0789] The user executes the care plan through the terminal and records the results.

[0790] Specific operations: The user manages their pet's health according to the care plan and records the results of their actions (e.g., the type and amount of food given, the exercise performed, etc.) on the device.

[0791] Input: Care plan execution results

[0792] Output: Recorded execution results

[0793] Step 6:

[0794] The execution results are sent from the user terminal to the server.

[0795] Specific operation: The user terminal sends the execution results to the server via the Internet.

[0796] Input: Recorded execution results

[0797] Output: Execution results sent to the server

[0798] Step 7:

[0799] The server updates the care plan based on the execution results using a generation AI means.

[0800] Specific operation: The server analyzes the received execution results and corrects and updates the care plan as necessary, for example, by evaluating whether the execution plan is working well and making improvements.

[0801] Input: Execution result

[0802] Output: Updated care plan

[0803] Step 8:

[0804] An emotion engine means operates to analyze the user's emotional state.

[0805] Specific operation: Using the camera and microphone on the user's device, the emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state.

[0806] Input: User's facial expressions and voice

[0807] Output: User's emotional information

[0808] Step 9:

[0809] The server provides advice based on the emotion information analyzed by the emotion engine.

[0810] Specific operation: When a user feels stressed, the server generates relaxation suggestions and simple care advice and sends them to the user's device.

[0811] Input: Emotion information

[0812] Output: Advice

[0813] 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.

[0814] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0815] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0816] [Third embodiment]

[0817] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0818] 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.

[0819] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0820] 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.

[0821] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0822] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0823] 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.

[0824] 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.

[0825] 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 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.

[0826] 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.

[0827] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0828] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0829] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0830] Sample collection and delivery

[0831] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they use a cotton swab to scrub the inside of their pet's mouth and deposit the saliva sample into the testing kit. The user then mails this sample kit to a designated genetic testing lab.

[0832] Sample receipt and analysis

[0833] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[0834] Generate personalized care plans

[0835] Based on the analyzed genetic information, the server uses generative AI to generate an individualized care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it can suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[0836] Care plan notification and implementation

[0837] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0838] Collecting and updating care plan implementation results

[0839] The device records the results of the user's actual implementation of the care plan. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. This implementation result data is automatically sent to the server.

[0840] Ongoing monitoring and feedback

[0841] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The existing plan can be revised based on the new data, and an optimized care plan can be sent back to the user's device, providing continuous support for pet health management.

[0842] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend a food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo according to the plan and records the results on their device, the server analyzes the data and provides new advice as needed. In this way, the bond between pet and owner is strengthened while achieving health and happiness.

[0843] The processing flow will be explained below.

[0844] Step 1:

[0845] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[0846] Step 2:

[0847] The server receives samples sent from genetic testing laboratories, connects to the genetic testing laboratory's system, and receives sample data via API.

[0848] Step 3:

[0849] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0850] Step 4:

[0851] Based on the analyzed genetic information, the server uses generative AI to generate a personalized care plan, which suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[0852] Step 5:

[0853] The server sends the generated care plan to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[0854] Step 6:

[0855] The device receives the care plan and notifies the user by sending a push notification to let the user know that a new care plan has arrived and to provide the ability to view the details.

[0856] Step 7:

[0857] Users can view the care plan through the device and implement it for their pet, purchasing the suggested customized food and feeding it in the recommended amounts, incorporating the exercise plan into their daily routine, and implementing other care methods.

[0858] Step 8:

[0859] The device records the care provided by the user, providing an interface for inputting details of the type and amount of food given, the exercise and care provided, etc. This data is automatically sent to the server.

[0860] Step 9:

[0861] The server analyzes the received execution result data and updates the care plan as necessary. The generation AI analyzes the new data and extracts improvements to the existing plan. The newly optimized care plan is then sent back to the user's device.

[0862] Step 10:

[0863] Users receive and review updated care plans to continue managing their pet's health, providing optimal care based on their pet's individual characteristics and genetic factors.

[0864] Example 1

[0865] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0866] In pet health management, it is extremely important to provide an optimal care plan for each individual pet. However, current technology lacks systems that can properly analyze a pet's genetic information and create an individual care plan based on the results. Furthermore, the functionality to collect the results of care plan implementation and update the care plan based on those results is also insufficient. This makes it difficult to continuously monitor a pet's health and provide optimal health management.

[0867] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0868] In this invention, the server includes means for collecting genetic information about pets, means for analyzing the collected genetic information, generation AI means for generating a care plan optimized for the pet, means for transmitting the generated care plan to a user terminal, and means for receiving execution results of the care plan from the user terminal and updating the care plan based on the execution results. This makes it possible to provide an optimal care plan for each individual pet based on the pet's genetic information and to continuously update the plan based on the execution results of the care plan.

[0869] "Means for collecting genetic information from pets" refers to tools and methods for collecting biological samples such as saliva and hair from pets.

[0870] "Means for analyzing genetic information" refers to methods and devices that analyze collected genetic samples from pets to identify DNA sequences and obtain information such as physical constitution and health risks.

[0871] "Generative AI means" refers to artificial intelligence algorithms or software that automatically generate care plans appropriate for individual pets based on analyzed genetic information about the pet.

[0872] "Means for transmitting a care plan to a user terminal" refers to a communication device or protocol that transfers the created care plan to a terminal such as a smartphone or computer used by the user.

[0873] "Means for receiving the results of care plan implementation from the user terminal" refers to a communication device or protocol for recording the details of the care plan implementation carried out by the user and transferring that data to the server.

[0874] "Means for updating a care plan" refers to a method or device that uses a generation AI to modify an existing care plan or generate a new one based on the execution results received from the user.

[0875] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[0876] Sample collection and delivery

[0877] First, users collect a sample from their pet using a dedicated genetic testing kit. The kit includes a cotton swab, a sample container, and a mailing envelope. Users swab the inside of their pet's mouth and deposit the saliva sample into the kit's container. They then mail the sample kit to a genetic testing lab.

[0878] Sample receipt and analysis

[0879] Next, the server receives the sample from the genetic testing lab. A receipt notification is sent to the user's device. The server is connected to an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) and performs sequencing analysis of the DNA extracted from the sample. At this stage, the pet's constitution, health risks, allergies, and nutrient absorption efficiency are identified.

[0880] Generate personalized care plans

[0881] Based on the analysis results, the server uses generative AI (e.g., OpenAI GPT-4) to generate an optimal care plan for each individual pet. This care plan includes customized food, exercise plans, and other health management methods that are best suited to the pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient.

[0882] Care plan notification and implementation

[0883] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0884] Collecting and updating care plan implementation results

[0885] The user records the results of the care plan on the device. To do so, they input the type and amount of food given, the exercise performed, etc. through the interface provided on the device. This execution result data is automatically sent to the server.

[0886] Ongoing monitoring and feedback

[0887] The server analyzes the results and evaluates the care plan based on the new data. Using generative AI, it updates the care plan as needed. This updated care plan is then sent back to the user's device, providing ongoing support for pet health management.

[0888] Specific examples

[0889] For example, if the analysis shows that a Shih Tzu is at risk for atopic dermatitis, the server uses generative AI to create the following care plan:

[0890] Recommended foods: Foods rich in omega-3 fatty acids

[0891] Care products: specific shampoo once a week

[0892] Exercise plan: Daily light walks and specific exercises once a month

[0893] The user follows this care plan, uses appropriate food and shampoo for the Shih Tzu, and records the results on the device. The server analyzes the data and provides new advice as needed.

[0894] Prompt Sentence Examples

[0895] For example, you might give the generator a prompt like this:

[0896] "The analysis results show that my Shih Tzu is at risk for atopic dermatitis. What is the best care plan?"

[0897] As described above, this system provides optimal care plans for individual pets based on their genetic information, and by updating the plans based on the results of their implementation, it is possible to continuously manage a pet's health.

[0898] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0899] Step 1:

[0900] Users collect samples from their pets using a dedicated genetic testing kit.

[0901] Input: Genetic testing kits, pet saliva and hair

[0902] Specific steps: Use a cotton swab to scrub the inside of your pet's mouth and collect a saliva sample in the test kit's container.

[0903] Output: Samples taken

[0904] Step 2:

[0905] The user mails the collected sample to a designated genetic testing lab.

[0906] Input: Sample in test kit, mailing envelope

[0907] What happens: Place the sample in a mailing envelope and mail it to a genetic testing lab.

[0908] Output: Sample arriving at genetic testing lab

[0909] Step 3:

[0910] The server receives samples from genetic testing laboratories.

[0911] Input: Sample sent from genetic testing lab

[0912] Specific operation: The server confirms the arrival of the sample and automatically sends a receipt notification to the user terminal.

[0913] Output: Acknowledgement to user terminal

[0914] Step 4:

[0915] The server sends the genetic information of the sample to an analysis system for analysis.

[0916] Input: Received genetic sample

[0917] Specific operation: DNA sequencing is performed using an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) to identify data such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[0918] Output: Analyzed genetic information

[0919] Step 5:

[0920] The server sends data to the generation AI based on the analysis results.

[0921] Input: Analyzed genetic information

[0922] Specific behavior: Input the analysis results into the generation AI and send prompts to generate a personalized care plan. Example: "Generate the optimal care plan based on this pet's genetic information."

[0923] Output: Generated care plan

[0924] Step 6:

[0925] The server transmits the generated care plan to the user terminal.

[0926] Input: Care plan output from the generation AI

[0927] Specific operation: Sends the contents of the care plan to the user's terminal and notifies the user of the arrival of a new care plan.

[0928] Output: Care plan notification to user device

[0929] Step 7:

[0930] Users can check the details of the care plan through the device and follow the instructions to manage their pet's health.

[0931] Input: Care plan sent to user device

[0932] Specific actions: Follow the care plan, feed the specified customized food, and complete the suggested exercise plan.

[0933] Output: Executed care plan

[0934] Step 8:

[0935] The user records the results of the executed care plan on the terminal.

[0936] Input: details of care provided, type and amount of food, exercise details

[0937] Specific operations: Enter each item using the terminal interface.

[0938] Output: Execution result data

[0939] Step 9:

[0940] The terminal automatically transmits the execution result data to the server.

[0941] Input: Execution result data entered into the user's terminal

[0942] Specific operation: Transfer the execution results to the server.

[0943] Output: Execution result data sent to the server

[0944] Step 10:

[0945] The server analyzes the received execution result data and uses the generative AI to update the care plan as needed.

[0946] Input: Execution result data

[0947] Specific behavior: Evaluate the care plan based on new data and generate an updated care plan using generative AI if necessary.

[0948] Output: Updated care plan

[0949] Step 11:

[0950] The server again transmits the updated care plan to the user terminal.

[0951] Input: Updated Care Plan

[0952] Specific operation: The contents of the updated care plan are sent to the user terminal.

[0953] Output: Update care plan notification to user device

[0954] By going through the above steps, continuous health management based on your pet's genetic information can be achieved, deepening the happiness and bond between pet and owner.

[0955] (Application example 1)

[0956] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0957] In today's world, pet health management and safety measures are important issues for pet owners. However, there is a lack of systems that provide customized approaches based on each pet's individual health risks and behavioral patterns. While conventional methods can analyze a pet's genetic information and propose care plans based on the results, a major problem is the lack of real-time monitoring or immediate feedback. In addition, there is a lack of systems that can monitor a pet's behavior over the long term and detect health risks or abnormalities early.

[0958] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0959] In this invention, the server includes a means for analyzing the genetic information of the pet, an AI generation means for generating a care plan optimized for the pet based on the analyzed genetic information, a means for transmitting the generated care plan to a user terminal, a means for receiving execution results of the care plan from the user terminal, a means for updating the care plan based on the execution results, a means for monitoring the pet's behavior in real time, and a means for detecting abnormalities based on the monitoring results and sending an alert to the user terminal. This allows for advanced pet health management and real-time safety measures. Furthermore, by continuously monitoring the pet's health condition and behavior and detecting abnormalities early, health risks to the pet can be reduced.

[0960] A "means for analyzing genetic information of a pet" is a device or system that collects genetic samples from a pet and analyzes the genetic information in detail using appropriate analysis software.

[0961] The "generative AI means" is a system that includes artificial intelligence technology that generates care plans and security measures optimized for pets based on analyzed genetic information.

[0962] The "means for transmitting to a user terminal" is a system that transmits data of the generated care plan or security measure plan to a terminal such as a smartphone or computer owned by the user.

[0963] The "means for receiving the results of care plan execution" is a device or system that records the results of a user's execution of a care plan and that the server receives the data.

[0964] The "means for updating the care plan" is a system that reviews the existing care plan based on the received execution result data, generates new guidance and plans as necessary, and provides them to the user.

[0965] "Means for monitoring pet behavior in real time" refers to a system that uses cameras and sensors to continuously monitor pet behavior and collect data in real time.

[0966] The "means for detecting abnormalities and sending alerts to user terminals" is a system that analyzes collected monitoring data and sends a warning message to user terminals when an abnormality is detected.

[0967] The "generative AI means for generating security measures plans" is a system that uses artificial intelligence to generate plans proposing safety measures for pets based on genetic information and monitoring data.

[0968] The "means for detecting health risks and suggesting preventive measures" is a system that continuously monitors the health of pets, detects risks early, and suggests preventive measures to users based on that information.

[0969] This invention relates to a system that analyzes the genetic information of pets and generates and provides optimal care plans and security measures plans based on the results. The system includes multiple means, each of which functions in conjunction with one another.

[0970] First, the user uses a dedicated genetic testing kit to collect a sample (such as saliva or hair) from their pet and sends it to a testing lab. The sample is then analyzed by a server using genetic information analysis software. The analysis results provide detailed data on the pet's constitution and health risks.

[0971] The server then uses a generative AI model (such as GPT or BERT) based on the analysis results to generate a care plan and security measures optimized for the pet. The plan is then sent to the user's device (smartphone, computer, etc.), where the user can review it and use it to manage their pet's health.

[0972] Additionally, physical surveillance cameras and sensors such as smart collars are used to monitor pet behavior in real time, constantly collecting data on pet behavior and the environment, and instantly sending alerts to the user's device if an abnormality is detected.

[0973] For example, if a genetic analysis of a dog indicates that it is at high risk of heatstroke, the generative AI might suggest the following security plan:

[0974] "Analysis has shown that this dog is sensitive to heat. Please consider adjusting the temperature setting of the air conditioner automatically and using a cooling mat. Also, when going outside, please choose a place with plenty of shade."

[0975] This suggestion is notified to the user terminal, allowing the user to immediately take appropriate measures.

[0976] The server also receives the results of the care plan execution from the user's device, analyzes the data, and uses the generative AI to update the care plan based on the results. By then sending the optimized plan back to the user's device, the server can continuously support the pet's health management.

[0977] To implement this invention, the following hardware and software are used:

[0978] Hardware:

[0979] Smartphone (iOS, Android)

[0980] Head-mounted display (AR / VR compatible device)

[0981] server

[0982] Sensors such as surveillance cameras and smart collars

[0983] software:

[0984] Genetic Analysis Software

[0985] Database software (MySQL, PostgreSQL, etc.)

[0986] Generative AI models (GPT, BERT, etc.)

[0987] Real-time monitoring app (React Native, Flutter)

[0988] The above system will enhance pet health management and enable real-time safety measures. Furthermore, by continuously monitoring pet health and behavior and detecting abnormalities early, it will be possible to reduce health risks for pets.

[0989] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0990] Step 1:

[0991] The user uses a dedicated genetic testing kit to collect samples such as saliva or hair from their pet, and then mails the sample to a testing lab via the user's terminal. At this stage, the input is the pet's biological sample, and the output is the sample sent to the testing lab.

[0992] Step 2:

[0993] The server receives samples sent from the testing laboratory and analyzes them using genetic information analysis software. The input is the received biological sample, and the output is the analyzed genetic information data. This data includes the pet's constitution, health risks, and whether or not there are any allergies.

[0994] Step 3:

[0995] The server uses a generative AI model based on the analysis results to generate a care plan and security plan optimized for the pet. The input is the analyzed genetic information data, and the output is the generated care plan and security plan. For example, if a specific allergy is confirmed, the generative AI will suggest a customized food that excludes that ingredient.

[0996] Step 4:

[0997] The server sends the generated care plan or security measure plan to the user terminal. The input is the generated care plan or security measure plan, and the output is a notification of the plan to the user terminal. The user terminal uses a notification function to notify the user that a new plan has arrived.

[0998] Step 5:

[0999] The user checks the details of the care plan through the user terminal and begins actual health management of the pet. Specifically, the user checks the type and amount of food to be fed, the details of exercise, etc. At this stage, the input is the care plan received by the user terminal, and the output is the implementation of the execution plan on the pet.

[1000] Step 6:

[1001] After executing the care plan, the user inputs the execution results through the user terminal. For example, the type and amount of food given, the exercise performed, and the details of care are recorded. The input is the execution result data, and the output is data sent to the server.

[1002] Step 7:

[1003] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The input is the execution result data, and the output is an updated care plan. The existing plan is revised based on the new data and resent to the user device.

[1004] Step 8:

[1005] To monitor pet behavior in real time, the server collects data from surveillance cameras and smart collars. The input is sensor data, and the output is monitored behavior data. If an abnormality is detected, the server immediately sends an alert to the user's device.

[1006] Step 9:

[1007] The user terminal notifies the user of the abnormality alert and instructs the user on appropriate countermeasures. The input is the abnormality alert data, and the output is a notification and instruction to the user. For example, if a dog is sensitive to heat, a notification recommending the use of a cooling mat will be sent.

[1008] In this way, pet health management is enhanced and real-time safety measures become possible.

[1009] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1010] The system of the present invention analyzes a pet's genetic information and generates an optimal care plan based on the results, providing it to the user, thereby deepening the happiness and bond between pet and owner. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system provides optimal advice and support according to the user's psychological state. This system includes a server, a user terminal, a generation AI, and an emotion engine.

[1011] Sample collection and delivery

[1012] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab.

[1013] Sample receipt and analysis

[1014] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[1015] Generate personalized care plans

[1016] Based on the analyzed genetic information, the server uses generative AI to generate an individual care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[1017] User emotion recognition and response

[1018] The emotion engine recognizes the user's emotions. It uses sensors such as the camera and microphone on the user's device to analyze facial expressions and tone of voice to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect this and notify the server.

[1019] Care plan notification and implementation

[1020] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[1021] Collecting and updating care plan implementation results

[1022] The results of the user's actual implementation of the care plan are recorded on the device. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. The execution result data is automatically sent to the server.

[1023] Emotion-Based Feedback

[1024] The user's emotional data collected by the emotion engine is also sent to the server. The server analyzes the received execution result data and emotional data, and updates the care plan as needed using the generative AI. The server then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[1025] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, recording the results on their device, the server analyzes the data and provides new advice as needed. Furthermore, if the user is feeling stressed, the emotion engine detects this, and the server suggests relaxation techniques and simple care methods to the user. In this way, pets and owners can deepen their bond while achieving health and happiness.

[1026] The processing flow will be explained below.

[1027] Step 1:

[1028] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[1029] Step 2:

[1030] The server receives samples sent from genetic testing laboratories and can receive data from genetic testing laboratories' systems via API.

[1031] Step 3:

[1032] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1033] Step 4:

[1034] The server uses generative AI to generate a personalized care plan based on the analyzed genetic information. Generative AI then suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[1035] Step 5:

[1036] The emotion engine recognizes the user's emotions. It analyzes facial expressions and tone of voice through sensors such as the camera and microphone on the user's device to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine detects this and notifies the server.

[1037] Step 6:

[1038] The server generates an optimal support message based on the generated care plan and the user's emotional information. For example, if the user is feeling stressed, it creates a message containing relaxation techniques and simple care advice.

[1039] Step 7:

[1040] The server sends the generated care plan and support message to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[1041] Step 8:

[1042] The device receives care plans and support messages and notifies the user. It sends push notifications to let users know that new care plans and support messages have arrived and provides the ability to view their details.

[1043] Step 9:

[1044] Users can view care plans and support messages on their device and implement them for their pets, purchase suggested customized food and feed the recommended amounts, incorporate exercise plans into their daily routine, and implement other care methods.

[1045] Step 10:

[1046] The user uses the device to record the care provided. Specifically, an interface is provided for entering the type and amount of food given, the exercise and care details. This execution result data is automatically sent to the server.

[1047] Step 11:

[1048] The emotion engine periodically monitors the user's emotional state, collects data from the device, and updates the support message as needed.

[1049] Step 12:

[1050] The server analyzes the received execution result data and emotion data, and updates the care plan as needed using the generative AI. It then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[1051] Step 13:

[1052] Users can receive and review updated care plans to continue managing their pet's health, helping to foster a healthy and happy pet-owner bond.

[1053] Example 2

[1054] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1055] In pet health management, there is a need not only to provide optimal care plans utilizing genetic information, but also to provide support that takes into account the user's emotional state. Conventional systems simply analyze and provide data on pet health, but lack psychological support for owners. Therefore, there is a need for a system that comprehensively supports the health and happiness of both pets and owners.

[1056] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1057] In this invention, the server includes means for collecting biological samples from the pet, means for analyzing the collected biological samples, a generation AI means for generating an optimized care plan for the pet based on the analyzed genetic information, means for recognizing the user's emotional state using a sensor in the user terminal, means for transmitting the recognized emotional state to the server, means for receiving an execution result of the care plan from the user terminal, and means for updating the care plan based on the execution result and the recognized emotional state. This makes it possible to provide a care plan based on the pet's genetic information while taking the user's emotional state into consideration to provide optimal support.

[1058] "Biological sample" refers to a biological sample such as saliva, hair, or blood taken from a pet.

[1059] "Analysis" refers to the process of decoding genetic information from collected biological samples and identifying health conditions and risks based on the results.

[1060] "Generative AI" refers to artificial intelligence that automatically generates a care plan optimized for your pet based on genetic information and execution result data.

[1061] A "user terminal" is a device used by a user, and includes a smartphone, tablet, PC, etc.

[1062] A "sensor" is a device such as a camera or microphone installed on a user terminal, and is used to detect emotional states such as facial expressions and tone of voice.

[1063] "Emotional state" refers to the user's psychological state, and includes emotions such as stress, joy, and sadness.

[1064] "Execution results" refers to data that records the actions that a user performed based on a care plan and the results of those actions.

[1065] "Update" refers to the process of revising and optimizing an existing care plan based on received execution results and emotional state.

[1066] The "server" is a central computer system that receives and analyzes data, provides generated care plans, and collects and analyzes execution results and emotional states.

[1067] A "care plan" refers to a plan for health management, exercise, diet, etc. that is created based on a pet's genetic information and the results of its implementation.

[1068] This invention is a system that analyzes a pet's genetic information, generates an optimal care plan based on the results, and provides it to the user. It also has the function of recognizing the user's emotional state and providing advice and support accordingly. The system's components include a server, a user terminal, a generation AI, and an emotion engine.

[1069] First, the user uses a dedicated genetic testing kit to collect biological samples such as saliva or hair from their pet. They then swab the inside of their pet's mouth, place the collected saliva sample in the testing kit, and mail the kit to a designated genetic testing lab. The user's device can also provide guidance on the collection procedure and mailing method.

[1070] The server then receives the biological samples from the genetic testing lab and analyzes the genetic information using specialized sequencing software. Specifically, this software decodes the genetic information to identify the pet's constitution, health risks, allergies, and nutrient absorption efficiency. The analysis data plays an important role in pet health management.

[1071] Based on the analyzed genetic information, the server uses a generative AI model to automatically generate a care plan optimized for the pet's characteristics. The generative AI model includes customized food, exercise plans, and health management methods according to the pet's characteristics. For example, if a specific allergy is confirmed, the generative AI will suggest food that excludes that ingredient. The generated care plan is sent from the server to the user's device.

[1072] The user device uses various sensors to recognize the user's emotional state. For example, it uses a camera and microphone to analyze the user's facial expressions and tone of voice to determine whether the user is feeling stressed or happy. The emotional state analyzed by the emotion engine is sent to the server, which then provides more appropriate advice and support.

[1073] While the care plan is being implemented, the user inputs the details and results of the care plan into the user device. This includes the type and amount of food given, the exercise performed, and the care provided. The input data is automatically sent to the server. The server analyzes the received execution result data and the emotion data from the emotion engine, and updates the care plan as necessary. The updated care plan is then sent back to the user device, ensuring continuous, optimized care.

[1074] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to create a care plan that suggests feeding it a food rich in omega-3 fatty acids and using a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, the results are recorded on the device, and the server analyzes the data and provides new advice as needed.

[1075] Example prompts to input to the generative AI model:

[1076] "We have received the results of a sequencing analysis to identify allergy risks in our dog's genetic information. Please generate a care plan that includes a food high in omega-3 fatty acids and a weekly skin care shampoo. Please also suggest a method for providing feedback based on this plan."

[1077] In this way, this invention comprehensively analyzes the pet's genetic information and the user's emotional state, providing optimal care for both, thereby supporting the happiness and health of both pets and their owners.

[1078] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1079] Step 1: Collect and send samples

[1080] Users use a dedicated genetic testing kit to collect biological samples (saliva or hair) from their pet. Specifically, users swab the inside of their pet's mouth and deposit the saliva sample into the testing kit.

[1081] Input: Pet saliva, hair, and other biological samples

[1082] Output: Biological sample contained in a test kit

[1083] The user mails the collected biological sample to a genetic testing lab. Specifically, they follow the enclosed instructions for mailing.

[1084] Step 2: Sample receipt and analysis

[1085] The server receives biological samples sent from genetic testing laboratories.

[1086] Input: Biological samples sent from genetic testing labs

[1087] Output: Received biological specimen

[1088] The server uses specialized sequencing software to analyze the genetic information, specifically decoding it to determine the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1089] Input: Biological sample

[1090] Output: Analysis result data (health risks, allergy information, etc.)

[1091] Step 3: Generate a care plan

[1092] Based on the analyzed genetic information, the server uses a generative AI model to generate an optimized care plan for your pet, including customized food and exercise plans tailored to your pet's characteristics.

[1093] Input: Analysis result data

[1094] Output: Generated care plan

[1095] For example, a prompt such as, "We have received the results of a sequence analysis to identify allergy risks in a dog's genetic information. Please generate a care plan that includes food rich in omega-3 fatty acids and a weekly skin care shampoo" is input into the generation AI.

[1096] Step 4: Recognizing your emotional state

[1097] The device uses sensors such as a camera and microphone to recognize the user's emotional state. Specifically, it analyzes facial expressions and tone of voice to determine the user's emotional state.

[1098] Input: Data on the user's facial expressions and tone of voice

[1099] Output: Emotional state (stress, joy, etc.)

[1100] The results analyzed by the emotion engine are sent to the server.

[1101] Step 5: Communicate your care plan

[1102] The server transmits the generated care plan to the user terminal.

[1103] Input: Generated Care Plan

[1104] Output: Care plan notification to user device

[1105] The device notifies the user of the arrival of the care plan by displaying a pop-up notification or an alert.

[1106] Step 6: Implementing the Care Plan

[1107] The user can check the details of the care plan through the device and follow the instructions to manage their pet's health, such as feeding it specific food or encouraging it to do specific exercises.

[1108] Input: Care plan instructions

[1109] Output: Execution results (food given, exercise performed, etc.)

[1110] Step 7: Collect and update execution results

[1111] The user inputs the results of the care plan into the terminal, for example, "Today's food was given as specified" or "30 minutes of exercise was performed."

[1112] Input: Execution result data entered by the user

[1113] Output: Sending execution result data to the server

[1114] The device automatically transmits this data to the server, which analyzes the received execution result data and emotion data from the emotion engine and updates the care plan as necessary.

[1115] Step 8: Communicate updated care plans

[1116] The updated care plan is again sent to the user terminal.

[1117] Input: Updated Care Plan

[1118] Output: Notification to user terminal

[1119] The user will receive a new care plan and continue to manage their pet's health accordingly.

[1120] In this way, the system is designed to comprehensively support the happiness and health of pets and their owners.

[1121] (Application example 2)

[1122] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1123] Conventional pet care systems are unable to provide comprehensive health management for pets, and it is particularly difficult to provide care plans that take into account genetic information and individual health risks. Furthermore, they do not provide advice that takes into account the owner's emotional state, making it difficult to deepen the bond between owner and pet.

[1124] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the genetic information of the pet, generation AI means for generating a care plan optimized for the pet based on the analyzed genetic information, means for transmitting the generated care plan to a user terminal, means for receiving an execution result of the care plan from the user terminal, means for updating the care plan based on the execution result, emotion engine means for analyzing the emotional state of the user, and means for providing advice based on the emotional state of the user analyzed by the emotion engine means. This makes it possible to comprehensively manage the health of the pet and provide psychological support to the owner.

[1125] "Pets" are animals kept by owners at home, such as dogs and cats.

[1126] "Genetic information" refers to DNA and RNA information that determines the genetic characteristics of an organism, and is used to identify a pet's constitution, health risks, allergies, etc.

[1127] "Means for analysis" refers to equipment or software that analyzes the genetic information collected from the sample and extracts and processes the necessary data.

[1128] "Generative AI means" refers to an artificial intelligence or system that automatically generates individual care plans based on the data and information obtained.

[1129] A "care plan" is a specific set of food, exercise, and other care instructions provided to maintain a pet's health and improve its quality of life.

[1130] A "user terminal" refers to a computer device operated by a user, such as a smartphone, tablet, or PC.

[1131] The "emotion engine means" refers to a device or software for analyzing the user's emotional state, and has the function of analyzing facial expressions and tone of voice.

[1132] "Execution results" refers to data that indicates the execution process and results of the provided care plan, and are used to optimize the next care plan.

[1133] The "means for providing advice" refers to a means for providing appropriate advice or suggestions to the user based on the analyzed emotional information and other data.

[1134] A specific system configuration and operation for implementing the present invention will be described.

[1135] System Configuration

[1136] The system of the present invention consists of the following main components:

[1137] 1. A method for analyzing the genetic information of pets

[1138] Samples of pet saliva, hair, etc. are analyzed in a genetic testing lab.

[1139] The analysis is performed using a DNA sequencing device and sequence analysis software.

[1140] 2. Generation AI means

[1141] It uses generative AI models that generate optimized care plans for pets based on their genetic information.

[1142] Generative AI models process data related to health risk management and nutrition plan development.

[1143] 3. Means of sending to user terminal

[1144] The generated care plan is sent to the user's smartphone or tablet via the Internet.

[1145] 4. Means of receiving execution results from user terminals

[1146] The user terminal records the results of the execution of the care plan and transmits them to the server.

[1147] The execution results include the type and amount of food, exercise content, etc.

[1148] 5. A means to update the care plan based on the results of the implementation

[1149] Based on the execution results, the server updates the care plan using an AI model.

[1150] 6. Emotional Engine Means

[1151] It includes an emotion engine that uses the camera and microphone of the user terminal to analyze the user's emotions.

[1152] The emotion engine analyzes facial expressions and tone of voice to determine the user's psychological state.

[1153] 7. Means of Providing Advice

[1154] Based on the user's emotional state analyzed by the emotion engine, the server generates and provides appropriate advice to the user.

[1155] This allows for support that takes into account the user's psychological state.

[1156] Example of operation

[1157] First, the user collects a sample from their pet using a dedicated genetic testing kit. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab. The genetic testing lab analyzes the sample and extracts the pet's genetic information.

[1158] The analyzed genetic information is then sent to a server, which uses a generative AI model to generate a personalized care plan based on the genetic information, including specific health management techniques, such as customized food and exercise plans for specific allergies.

[1159] The generated care plan is sent to the user's terminal. The user's terminal notifies the user that a new care plan has arrived. The user checks the details of the care plan through the terminal and manages the pet's health in accordance with the plan. The results of the implementation, such as the type and amount of food given and the details of the exercise performed, are recorded and sent to the server.

[1160] The emotion engine analyzes the user's emotions by analyzing facial expressions and tone of voice using the device's camera and microphone. If the emotion engine detects the user's stress level, the server will provide appropriate relaxation suggestions and advice.

[1161] This data is aggregated on a server, and the generative AI model continuously updates the care plan, revising the existing plan based on the new data, and then sending the optimized care plan back to the user's device.

[1162] Prompt Sentence Examples

[1163] Prompt: Generate an optimal care plan based on this pet's genetic information. If the pet is a dog, exclude ingredients if the user is allergic. Also, suggest activities if the user is stressed.

[1164] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1165] Step 1:

[1166] Users use a dedicated genetic testing kit to collect samples from their pets and mail them to a genetic testing lab.

[1167] What it does: The user swabs the inside of their pet's mouth, collects a saliva sample, places it in a test kit, and then mails the kit to a designated genetic testing lab.

[1168] Input: Pet saliva sample

[1169] Output: Samples mailed to the lab

[1170] Step 2:

[1171] A genetic testing laboratory receives the sample and analyzes the genetic information.

[1172] What it does: The lab uses DNA sequencing equipment and sequence analysis software to analyze the genetic information in the sample.

[1173] Input: Sample

[1174] Output: Analyzed genetic information

[1175] Step 3:

[1176] The genetic information is sent to a server, and an optimal care plan is generated by a generative AI means.

[1177] How it works: The server receives the genetic information and activates a generative AI model to generate an optimal care plan for your pet based on the analyzed data, for example, recommending a customized food based on allergy information.

[1178] Input: Analyzed genetic information

[1179] Output: Care plan

[1180] Step 4:

[1181] The generated care plan is sent to the user's terminal and notified.

[1182] Specific operation: The server sends the generated care plan to the user's smartphone or tablet, and the user device displays a notification of the new care plan.

[1183] Input: Care Plan

[1184] Output: Notification on user's device

[1185] Step 5:

[1186] The user executes the care plan through the terminal and records the results.

[1187] Specific operations: The user manages their pet's health according to the care plan and records the results of their actions (e.g., the type and amount of food given, the exercise performed, etc.) on the device.

[1188] Input: Care plan execution results

[1189] Output: Recorded execution results

[1190] Step 6:

[1191] The execution results are sent from the user terminal to the server.

[1192] Specific operation: The user terminal sends the execution results to the server via the Internet.

[1193] Input: Recorded execution results

[1194] Output: Execution results sent to the server

[1195] Step 7:

[1196] The server updates the care plan based on the execution results using a generation AI means.

[1197] Specific operation: The server analyzes the received execution results and corrects and updates the care plan as necessary, for example, by evaluating whether the execution plan is working well and making improvements.

[1198] Input: Execution result

[1199] Output: Updated care plan

[1200] Step 8:

[1201] An emotion engine means operates to analyze the user's emotional state.

[1202] Specific operation: Using the camera and microphone on the user's device, the emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state.

[1203] Input: User's facial expressions and voice

[1204] Output: User's emotional information

[1205] Step 9:

[1206] The server provides advice based on the emotion information analyzed by the emotion engine.

[1207] Specific operation: When a user feels stressed, the server generates relaxation suggestions and simple care advice and sends them to the user's device.

[1208] Input: Emotion information

[1209] Output: Advice

[1210] 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.

[1211] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1212] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1213] [Fourth embodiment]

[1214] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1215] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1216] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1217] 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.

[1218] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1219] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1220] 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.

[1221] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1222] 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.

[1223] 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 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.

[1224] 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.

[1225] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1226] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1227] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[1228] Sample collection and delivery

[1229] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they use a cotton swab to scrub the inside of their pet's mouth and deposit the saliva sample into the testing kit. The user then mails this sample kit to a designated genetic testing lab.

[1230] Sample receipt and analysis

[1231] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[1232] Generate personalized care plans

[1233] Based on the analyzed genetic information, the server uses generative AI to generate an individualized care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it can suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[1234] Care plan notification and implementation

[1235] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[1236] Collecting and updating care plan implementation results

[1237] The device records the results of the user's actual implementation of the care plan. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. This implementation result data is automatically sent to the server.

[1238] Ongoing monitoring and feedback

[1239] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The existing plan can be revised based on the new data, and an optimized care plan can be sent back to the user's device, providing continuous support for pet health management.

[1240] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend a food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo according to the plan and records the results on their device, the server analyzes the data and provides new advice as needed. In this way, the bond between pet and owner is strengthened while achieving health and happiness.

[1241] The processing flow will be explained below.

[1242] Step 1:

[1243] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[1244] Step 2:

[1245] The server receives samples sent from genetic testing laboratories, connects to the genetic testing laboratory's system, and receives sample data via API.

[1246] Step 3:

[1247] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1248] Step 4:

[1249] Based on the analyzed genetic information, the server uses generative AI to generate a personalized care plan, which suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[1250] Step 5:

[1251] The server sends the generated care plan to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[1252] Step 6:

[1253] The device receives the care plan and notifies the user by sending a push notification to let the user know that a new care plan has arrived and to provide the ability to view the details.

[1254] Step 7:

[1255] Users can view the care plan through the device and implement it for their pet, purchasing the suggested customized food and feeding it in the recommended amounts, incorporating the exercise plan into their daily routine, and implementing other care methods.

[1256] Step 8:

[1257] The device records the care provided by the user, providing an interface for inputting details of the type and amount of food given, the exercise and care provided, etc. This data is automatically sent to the server.

[1258] Step 9:

[1259] The server analyzes the received execution result data and updates the care plan as necessary. The generation AI analyzes the new data and extracts improvements to the existing plan. The newly optimized care plan is then sent back to the user's device.

[1260] Step 10:

[1261] Users receive and review updated care plans to continue managing their pet's health, providing optimal care based on their pet's individual characteristics and genetic factors.

[1262] Example 1

[1263] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1264] In pet health management, it is extremely important to provide an optimal care plan for each individual pet. However, current technology lacks systems that can properly analyze a pet's genetic information and create an individual care plan based on the results. Furthermore, the functionality to collect the results of care plan implementation and update the care plan based on those results is also insufficient. This makes it difficult to continuously monitor a pet's health and provide optimal health management.

[1265] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1266] In this invention, the server includes means for collecting genetic information about pets, means for analyzing the collected genetic information, generation AI means for generating a care plan optimized for the pet, means for transmitting the generated care plan to a user terminal, and means for receiving execution results of the care plan from the user terminal and updating the care plan based on the execution results. This makes it possible to provide an optimal care plan for each individual pet based on the pet's genetic information and to continuously update the plan based on the execution results of the care plan.

[1267] "Means for collecting genetic information from pets" refers to tools and methods for collecting biological samples such as saliva and hair from pets.

[1268] "Means for analyzing genetic information" refers to methods and devices that analyze collected genetic samples from pets to identify DNA sequences and obtain information such as physical constitution and health risks.

[1269] "Generative AI means" refers to artificial intelligence algorithms or software that automatically generate care plans appropriate for individual pets based on analyzed genetic information about the pet.

[1270] "Means for transmitting a care plan to a user terminal" refers to a communication device or protocol that transfers the created care plan to a terminal such as a smartphone or computer used by the user.

[1271] "Means for receiving the results of care plan implementation from the user terminal" refers to a communication device or protocol for recording the details of the care plan implementation carried out by the user and transferring that data to the server.

[1272] "Means for updating a care plan" refers to a method or device that uses a generation AI to modify an existing care plan or generate a new one based on the execution results received from the user.

[1273] The system of the present invention analyzes the genetic information of pets and generates optimal care plans based on the results, providing them to users, thereby deepening the happiness and bond between pets and their owners. This system includes a server, a user terminal, and a generation AI.

[1274] Sample collection and delivery

[1275] First, users collect a sample from their pet using a dedicated genetic testing kit. The kit includes a cotton swab, a sample container, and a mailing envelope. Users swab the inside of their pet's mouth and deposit the saliva sample into the kit's container. They then mail the sample kit to a genetic testing lab.

[1276] Sample receipt and analysis

[1277] Next, the server receives the sample from the genetic testing lab. A receipt notification is sent to the user's device. The server is connected to an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) and performs sequencing analysis of the DNA extracted from the sample. At this stage, the pet's constitution, health risks, allergies, and nutrient absorption efficiency are identified.

[1278] Generate personalized care plans

[1279] Based on the analysis results, the server uses generative AI (e.g., OpenAI GPT-4) to generate an optimal care plan for each individual pet. This care plan includes customized food, exercise plans, and other health management methods that are best suited to the pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient.

[1280] Care plan notification and implementation

[1281] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[1282] Collecting and updating care plan implementation results

[1283] The user records the results of the care plan on the device. To do so, they input the type and amount of food given, the exercise performed, etc. through the interface provided on the device. This execution result data is automatically sent to the server.

[1284] Ongoing monitoring and feedback

[1285] The server analyzes the results and evaluates the care plan based on the new data. Using generative AI, it updates the care plan as needed. This updated care plan is then sent back to the user's device, providing ongoing support for pet health management.

[1286] Specific examples

[1287] For example, if the analysis shows that a Shih Tzu is at risk for atopic dermatitis, the server uses generative AI to create the following care plan:

[1288] Recommended foods: Foods rich in omega-3 fatty acids

[1289] Care products: specific shampoo once a week

[1290] Exercise plan: Daily light walks and specific exercises once a month

[1291] The user follows this care plan, uses appropriate food and shampoo for the Shih Tzu, and records the results on the device. The server analyzes the data and provides new advice as needed.

[1292] Prompt Sentence Examples

[1293] For example, you might give the generator a prompt like this:

[1294] "The analysis results show that my Shih Tzu is at risk for atopic dermatitis. What is the best care plan?"

[1295] As described above, this system provides optimal care plans for individual pets based on their genetic information, and by updating the plans based on the results of their implementation, it is possible to continuously manage a pet's health.

[1296] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1297] Step 1:

[1298] Users collect samples from their pets using a dedicated genetic testing kit.

[1299] Input: Genetic testing kits, pet saliva and hair

[1300] Specific steps: Use a cotton swab to scrub the inside of your pet's mouth and collect a saliva sample in the test kit's container.

[1301] Output: Samples taken

[1302] Step 2:

[1303] The user mails the collected sample to a designated genetic testing lab.

[1304] Input: Sample in test kit, mailing envelope

[1305] What happens: Place the sample in a mailing envelope and mail it to a genetic testing lab.

[1306] Output: Sample arriving at genetic testing lab

[1307] Step 3:

[1308] The server receives samples from genetic testing laboratories.

[1309] Input: Sample sent from genetic testing lab

[1310] Specific operation: The server confirms the arrival of the sample and automatically sends a receipt notification to the user terminal.

[1311] Output: Acknowledgement to user terminal

[1312] Step 4:

[1313] The server sends the genetic information of the sample to an analysis system for analysis.

[1314] Input: Received genetic sample

[1315] Specific operation: DNA sequencing is performed using an analysis system (e.g., Illumina MiSeq or Thermo Fisher Ion Torrent) to identify data such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1316] Output: Analyzed genetic information

[1317] Step 5:

[1318] The server sends data to the generation AI based on the analysis results.

[1319] Input: Analyzed genetic information

[1320] Specific behavior: Input the analysis results into the generation AI and send prompts to generate a personalized care plan. Example: "Generate the optimal care plan based on this pet's genetic information."

[1321] Output: Generated care plan

[1322] Step 6:

[1323] The server transmits the generated care plan to the user terminal.

[1324] Input: Care plan output from the generation AI

[1325] Specific operation: Sends the contents of the care plan to the user's terminal and notifies the user of the arrival of a new care plan.

[1326] Output: Care plan notification to user device

[1327] Step 7:

[1328] Users can check the details of the care plan through the device and follow the instructions to manage their pet's health.

[1329] Input: Care plan sent to user device

[1330] Specific actions: Follow the care plan, feed the specified customized food, and complete the suggested exercise plan.

[1331] Output: Executed care plan

[1332] Step 8:

[1333] The user records the results of the executed care plan on the terminal.

[1334] Input: details of care provided, type and amount of food, exercise details

[1335] Specific operations: Enter each item using the terminal interface.

[1336] Output: Execution result data

[1337] Step 9:

[1338] The terminal automatically transmits the execution result data to the server.

[1339] Input: Execution result data entered into the user's terminal

[1340] Specific operation: Transfer the execution results to the server.

[1341] Output: Execution result data sent to the server

[1342] Step 10:

[1343] The server analyzes the received execution result data and uses the generative AI to update the care plan as needed.

[1344] Input: Execution result data

[1345] Specific behavior: Evaluate the care plan based on new data and generate an updated care plan using generative AI if necessary.

[1346] Output: Updated care plan

[1347] Step 11:

[1348] The server again transmits the updated care plan to the user terminal.

[1349] Input: Updated Care Plan

[1350] Specific operation: The contents of the updated care plan are sent to the user terminal.

[1351] Output: Update care plan notification to user device

[1352] By going through the above steps, continuous health management based on your pet's genetic information can be achieved, deepening the happiness and bond between pet and owner.

[1353] (Application example 1)

[1354] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1355] In today's world, pet health management and safety measures are important issues for pet owners. However, there is a lack of systems that provide customized approaches based on each pet's individual health risks and behavioral patterns. While conventional methods can analyze a pet's genetic information and propose care plans based on the results, a major problem is the lack of real-time monitoring or immediate feedback. In addition, there is a lack of systems that can monitor a pet's behavior over the long term and detect health risks or abnormalities early.

[1356] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1357] In this invention, the server includes a means for analyzing the genetic information of the pet, an AI generation means for generating a care plan optimized for the pet based on the analyzed genetic information, a means for transmitting the generated care plan to a user terminal, a means for receiving execution results of the care plan from the user terminal, a means for updating the care plan based on the execution results, a means for monitoring the pet's behavior in real time, and a means for detecting abnormalities based on the monitoring results and sending an alert to the user terminal. This allows for advanced pet health management and real-time safety measures. Furthermore, by continuously monitoring the pet's health condition and behavior and detecting abnormalities early, health risks to the pet can be reduced.

[1358] A "means for analyzing genetic information of a pet" is a device or system that collects genetic samples from a pet and analyzes the genetic information in detail using appropriate analysis software.

[1359] The "generative AI means" is a system that includes artificial intelligence technology that generates care plans and security measures optimized for pets based on analyzed genetic information.

[1360] The "means for transmitting to a user terminal" is a system that transmits data of the generated care plan or security measure plan to a terminal such as a smartphone or computer owned by the user.

[1361] The "means for receiving the results of care plan execution" is a device or system that records the results of a user's execution of a care plan and that the server receives the data.

[1362] The "means for updating the care plan" is a system that reviews the existing care plan based on the received execution result data, generates new guidance and plans as necessary, and provides them to the user.

[1363] "Means for monitoring pet behavior in real time" refers to a system that uses cameras and sensors to continuously monitor pet behavior and collect data in real time.

[1364] The "means for detecting abnormalities and sending alerts to user terminals" is a system that analyzes collected monitoring data and sends a warning message to user terminals when an abnormality is detected.

[1365] The "generative AI means for generating security measures plans" is a system that uses artificial intelligence to generate plans proposing safety measures for pets based on genetic information and monitoring data.

[1366] The "means for detecting health risks and suggesting preventive measures" is a system that continuously monitors the health of pets, detects risks early, and suggests preventive measures to users based on that information.

[1367] This invention relates to a system that analyzes the genetic information of pets and generates and provides optimal care plans and security measures plans based on the results. The system includes multiple means, each of which functions in conjunction with one another.

[1368] First, the user uses a dedicated genetic testing kit to collect a sample (such as saliva or hair) from their pet and sends it to a testing lab. The sample is then analyzed by a server using genetic information analysis software. The analysis results provide detailed data on the pet's constitution and health risks.

[1369] The server then uses a generative AI model (such as GPT or BERT) based on the analysis results to generate a care plan and security measures optimized for the pet. The plan is then sent to the user's device (smartphone, computer, etc.), where the user can review it and use it to manage their pet's health.

[1370] Additionally, physical surveillance cameras and sensors such as smart collars are used to monitor pet behavior in real time, constantly collecting data on pet behavior and the environment, and instantly sending alerts to the user's device if an abnormality is detected.

[1371] For example, if a genetic analysis of a dog indicates that it is at high risk of heatstroke, the generative AI might suggest the following security plan:

[1372] "Analysis has shown that this dog is sensitive to heat. Please consider adjusting the temperature setting of the air conditioner automatically and using a cooling mat. Also, when going outside, please choose a place with plenty of shade."

[1373] This suggestion is notified to the user terminal, allowing the user to immediately take appropriate measures.

[1374] The server also receives the results of the care plan execution from the user's device, analyzes the data, and uses the generative AI to update the care plan based on the results. By then sending the optimized plan back to the user's device, the server can continuously support the pet's health management.

[1375] To implement this invention, the following hardware and software are used:

[1376] Hardware:

[1377] Smartphone (iOS, Android)

[1378] Head-mounted display (AR / VR compatible device)

[1379] server

[1380] Sensors such as surveillance cameras and smart collars

[1381] software:

[1382] Genetic Analysis Software

[1383] Database software (MySQL, PostgreSQL, etc.)

[1384] Generative AI models (GPT, BERT, etc.)

[1385] Real-time monitoring app (React Native, Flutter)

[1386] The above system will enhance pet health management and enable real-time safety measures. Furthermore, by continuously monitoring pet health and behavior and detecting abnormalities early, it will be possible to reduce health risks for pets.

[1387] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1388] Step 1:

[1389] The user uses a dedicated genetic testing kit to collect samples such as saliva or hair from their pet, and then mails the sample to a testing lab via the user's terminal. At this stage, the input is the pet's biological sample, and the output is the sample sent to the testing lab.

[1390] Step 2:

[1391] The server receives samples sent from the testing laboratory and analyzes them using genetic information analysis software. The input is the received biological sample, and the output is the analyzed genetic information data. This data includes the pet's constitution, health risks, and whether or not there are any allergies.

[1392] Step 3:

[1393] The server uses a generative AI model based on the analysis results to generate a care plan and security plan optimized for the pet. The input is the analyzed genetic information data, and the output is the generated care plan and security plan. For example, if a specific allergy is confirmed, the generative AI will suggest a customized food that excludes that ingredient.

[1394] Step 4:

[1395] The server sends the generated care plan or security measure plan to the user terminal. The input is the generated care plan or security measure plan, and the output is a notification of the plan to the user terminal. The user terminal uses a notification function to notify the user that a new plan has arrived.

[1396] Step 5:

[1397] The user checks the details of the care plan through the user terminal and begins actual health management of the pet. Specifically, the user checks the type and amount of food to be fed, the details of exercise, etc. At this stage, the input is the care plan received by the user terminal, and the output is the implementation of the execution plan on the pet.

[1398] Step 6:

[1399] After executing the care plan, the user inputs the execution results through the user terminal. For example, the type and amount of food given, the exercise performed, and the details of care are recorded. The input is the execution result data, and the output is data sent to the server.

[1400] Step 7:

[1401] The server analyzes the received execution result data and uses the generation AI to update the care plan as needed. The input is the execution result data, and the output is an updated care plan. The existing plan is revised based on the new data and resent to the user device.

[1402] Step 8:

[1403] To monitor pet behavior in real time, the server collects data from surveillance cameras and smart collars. The input is sensor data, and the output is monitored behavior data. If an abnormality is detected, the server immediately sends an alert to the user's device.

[1404] Step 9:

[1405] The user terminal notifies the user of the abnormality alert and instructs the user on appropriate countermeasures. The input is the abnormality alert data, and the output is a notification and instruction to the user. For example, if a dog is sensitive to heat, a notification recommending the use of a cooling mat will be sent.

[1406] In this way, pet health management is enhanced and real-time safety measures become possible.

[1407] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1408] The system of the present invention analyzes a pet's genetic information and generates an optimal care plan based on the results, providing it to the user, thereby deepening the happiness and bond between pet and owner. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system provides optimal advice and support according to the user's psychological state. This system includes a server, a user terminal, a generation AI, and an emotion engine.

[1409] Sample collection and delivery

[1410] First, the user uses a dedicated genetic testing kit to collect a sample of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab.

[1411] Sample receipt and analysis

[1412] Next, the server receives the samples sent from the genetic testing lab and analyzes the genetic information. The analysis software used here performs a sequence analysis of the genetic information to identify the pet's constitution, health risks, allergies, nutrient absorption efficiency, etc. This information is extremely important data for pet health management.

[1413] Generate personalized care plans

[1414] Based on the analyzed genetic information, the server uses generative AI to generate an individual care plan. During this process, the generative AI will suggest the most appropriate customized food, exercise plan, and other health management methods for your pet. For example, if a specific allergy is identified, it will suggest a customized food that excludes that ingredient. It will also determine the appropriate exercise content and frequency based on your pet's characteristics.

[1415] User emotion recognition and response

[1416] The emotion engine recognizes the user's emotions. It uses sensors such as the camera and microphone on the user's device to analyze facial expressions and tone of voice to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect this and notify the server.

[1417] Care plan notification and implementation

[1418] The generated care plan is sent from the server to the user's device. The device has a notification function that notifies the user that a new care plan has arrived. The user can then check the details of the care plan through the device and follow the instructions to manage their pet's health.

[1419] Collecting and updating care plan implementation results

[1420] The results of the user's actual implementation of the care plan are recorded on the device. Specifically, an interface is provided for inputting the type and amount of food given, the exercise and care provided, etc. The execution result data is automatically sent to the server.

[1421] Emotion-Based Feedback

[1422] The user's emotional data collected by the emotion engine is also sent to the server. The server analyzes the received execution result data and emotional data, and updates the care plan as needed using the generative AI. The server then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[1423] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to recommend food rich in omega-3 fatty acids and create a care plan that includes the use of a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, recording the results on their device, the server analyzes the data and provides new advice as needed. Furthermore, if the user is feeling stressed, the emotion engine detects this, and the server suggests relaxation techniques and simple care methods to the user. In this way, pets and owners can deepen their bond while achieving health and happiness.

[1424] The processing flow will be explained below.

[1425] Step 1:

[1426] Users use a dedicated genetic testing kit to collect samples of their pet's saliva, hair, etc. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit, which they then mail to a designated genetic testing lab.

[1427] Step 2:

[1428] The server receives samples sent from genetic testing laboratories and can receive data from genetic testing laboratories' systems via API.

[1429] Step 3:

[1430] The server analyzes the genetic information of the received sample and uses analysis software to sequence the genetic information, thereby identifying detailed information such as the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1431] Step 4:

[1432] The server uses generative AI to generate a personalized care plan based on the analyzed genetic information. Generative AI then suggests customized food, exercise plans, and health management methods that are optimal for your pet. For example, it generates a plan that excludes allergenic ingredients and includes exercises that reduce the risk of certain diseases.

[1433] Step 5:

[1434] The emotion engine recognizes the user's emotions. It analyzes facial expressions and tone of voice through sensors such as the camera and microphone on the user's device to identify the user's emotional state. For example, if the user is feeling stressed, the emotion engine detects this and notifies the server.

[1435] Step 6:

[1436] The server generates an optimal support message based on the generated care plan and the user's emotional information. For example, if the user is feeling stressed, it creates a message containing relaxation techniques and simple care advice.

[1437] Step 7:

[1438] The server sends the generated care plan and support message to the user's device. The care plan data is formatted in JSON format and sent to the device via HTTPS.

[1439] Step 8:

[1440] The device receives care plans and support messages and notifies the user. It sends push notifications to let users know that new care plans and support messages have arrived and provides the ability to view their details.

[1441] Step 9:

[1442] Users can view care plans and support messages on their device and implement them for their pets, purchase suggested customized food and feed the recommended amounts, incorporate exercise plans into their daily routine, and implement other care methods.

[1443] Step 10:

[1444] The user uses the device to record the care provided. Specifically, an interface is provided for entering the type and amount of food given, the exercise and care details. This execution result data is automatically sent to the server.

[1445] Step 11:

[1446] The emotion engine periodically monitors the user's emotional state, collects data from the device, and updates the support message as needed.

[1447] Step 12:

[1448] The server analyzes the received execution result data and emotion data, and updates the care plan as needed using the generative AI. It then revises the existing plan based on the new data and sends the optimized care plan back to the user's device.

[1449] Step 13:

[1450] Users can receive and review updated care plans to continue managing their pet's health, helping to foster a healthy and happy pet-owner bond.

[1451] Example 2

[1452] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1453] In pet health management, there is a need not only to provide optimal care plans utilizing genetic information, but also to provide support that takes into account the user's emotional state. Conventional systems simply analyze and provide data on pet health, but lack psychological support for owners. Therefore, there is a need for a system that comprehensively supports the health and happiness of both pets and owners.

[1454] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1455] In this invention, the server includes means for collecting biological samples from the pet, means for analyzing the collected biological samples, a generation AI means for generating an optimized care plan for the pet based on the analyzed genetic information, means for recognizing the user's emotional state using a sensor in the user terminal, means for transmitting the recognized emotional state to the server, means for receiving an execution result of the care plan from the user terminal, and means for updating the care plan based on the execution result and the recognized emotional state. This makes it possible to provide a care plan based on the pet's genetic information while taking the user's emotional state into consideration to provide optimal support.

[1456] "Biological sample" refers to a biological sample such as saliva, hair, or blood taken from a pet.

[1457] "Analysis" refers to the process of decoding genetic information from collected biological samples and identifying health conditions and risks based on the results.

[1458] "Generative AI" refers to artificial intelligence that automatically generates a care plan optimized for your pet based on genetic information and execution result data.

[1459] A "user terminal" is a device used by a user, and includes a smartphone, tablet, PC, etc.

[1460] A "sensor" is a device such as a camera or microphone installed on a user terminal, and is used to detect emotional states such as facial expressions and tone of voice.

[1461] "Emotional state" refers to the user's psychological state, and includes emotions such as stress, joy, and sadness.

[1462] "Execution results" refers to data that records the actions that a user performed based on a care plan and the results of those actions.

[1463] "Update" refers to the process of revising and optimizing an existing care plan based on received execution results and emotional state.

[1464] The "server" is a central computer system that receives and analyzes data, provides generated care plans, and collects and analyzes execution results and emotional states.

[1465] A "care plan" refers to a plan for health management, exercise, diet, etc. that is created based on a pet's genetic information and the results of its implementation.

[1466] This invention is a system that analyzes a pet's genetic information, generates an optimal care plan based on the results, and provides it to the user. It also has the function of recognizing the user's emotional state and providing advice and support accordingly. The system's components include a server, a user terminal, a generation AI, and an emotion engine.

[1467] First, the user uses a dedicated genetic testing kit to collect biological samples such as saliva or hair from their pet. They then swab the inside of their pet's mouth, place the collected saliva sample in the testing kit, and mail the kit to a designated genetic testing lab. The user's device can also provide guidance on the collection procedure and mailing method.

[1468] The server then receives the biological samples from the genetic testing lab and analyzes the genetic information using specialized sequencing software. Specifically, this software decodes the genetic information to identify the pet's constitution, health risks, allergies, and nutrient absorption efficiency. The analysis data plays an important role in pet health management.

[1469] Based on the analyzed genetic information, the server uses a generative AI model to automatically generate a care plan optimized for the pet's characteristics. The generative AI model includes customized food, exercise plans, and health management methods according to the pet's characteristics. For example, if a specific allergy is confirmed, the generative AI will suggest food that excludes that ingredient. The generated care plan is sent from the server to the user's device.

[1470] The user device uses various sensors to recognize the user's emotional state. For example, it uses a camera and microphone to analyze the user's facial expressions and tone of voice to determine whether the user is feeling stressed or happy. The emotional state analyzed by the emotion engine is sent to the server, which then provides more appropriate advice and support.

[1471] While the care plan is being implemented, the user inputs the details and results of the care plan into the user device. This includes the type and amount of food given, the exercise performed, and the care provided. The input data is automatically sent to the server. The server analyzes the received execution result data and the emotion data from the emotion engine, and updates the care plan as necessary. The updated care plan is then sent back to the user device, ensuring continuous, optimized care.

[1472] For example, if a dog is found to be at risk for skin disease, the server uses generative AI to create a care plan that suggests feeding it a food rich in omega-3 fatty acids and using a specific shampoo once a week. When the user follows this care plan and uses the food and shampoo, the results are recorded on the device, and the server analyzes the data and provides new advice as needed.

[1473] Example prompts to input to the generative AI model:

[1474] "We have received the results of a sequencing analysis to identify allergy risks in our dog's genetic information. Please generate a care plan that includes a food high in omega-3 fatty acids and a weekly skin care shampoo. Please also suggest a method for providing feedback based on this plan."

[1475] In this way, this invention comprehensively analyzes the pet's genetic information and the user's emotional state, providing optimal care for both, thereby supporting the happiness and health of both pets and their owners.

[1476] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1477] Step 1: Collect and send samples

[1478] Users use a dedicated genetic testing kit to collect biological samples (saliva or hair) from their pet. Specifically, users swab the inside of their pet's mouth and deposit the saliva sample into the testing kit.

[1479] Input: Pet saliva, hair, and other biological samples

[1480] Output: Biological sample contained in a test kit

[1481] The user mails the collected biological sample to a genetic testing lab. Specifically, they follow the enclosed instructions for mailing.

[1482] Step 2: Sample receipt and analysis

[1483] The server receives biological samples sent from genetic testing laboratories.

[1484] Input: Biological samples sent from genetic testing labs

[1485] Output: Received biological specimen

[1486] The server uses specialized sequencing software to analyze the genetic information, specifically decoding it to determine the pet's constitution, health risks, allergies, and nutrient absorption efficiency.

[1487] Input: Biological sample

[1488] Output: Analysis result data (health risks, allergy information, etc.)

[1489] Step 3: Generate a care plan

[1490] Based on the analyzed genetic information, the server uses a generative AI model to generate an optimized care plan for your pet, including customized food and exercise plans tailored to your pet's characteristics.

[1491] Input: Analysis result data

[1492] Output: Generated care plan

[1493] For example, a prompt such as, "We have received the results of a sequence analysis to identify allergy risks in a dog's genetic information. Please generate a care plan that includes food rich in omega-3 fatty acids and a weekly skin care shampoo" is input into the generation AI.

[1494] Step 4: Recognizing your emotional state

[1495] The device uses sensors such as a camera and microphone to recognize the user's emotional state. Specifically, it analyzes facial expressions and tone of voice to determine the user's emotional state.

[1496] Input: Data on the user's facial expressions and tone of voice

[1497] Output: Emotional state (stress, joy, etc.)

[1498] The results analyzed by the emotion engine are sent to the server.

[1499] Step 5: Communicate your care plan

[1500] The server transmits the generated care plan to the user terminal.

[1501] Input: Generated Care Plan

[1502] Output: Care plan notification to user device

[1503] The device notifies the user of the arrival of the care plan by displaying a pop-up notification or an alert.

[1504] Step 6: Implementing the Care Plan

[1505] The user can check the details of the care plan through the device and follow the instructions to manage their pet's health, such as feeding it specific food or encouraging it to do specific exercises.

[1506] Input: Care plan instructions

[1507] Output: Execution results (food given, exercise performed, etc.)

[1508] Step 7: Collect and update execution results

[1509] The user inputs the results of the care plan into the terminal, for example, "Today's food was given as specified" or "30 minutes of exercise was performed."

[1510] Input: Execution result data entered by the user

[1511] Output: Sending execution result data to the server

[1512] The device automatically transmits this data to the server, which analyzes the received execution result data and emotion data from the emotion engine and updates the care plan as necessary.

[1513] Step 8: Communicate updated care plans

[1514] The updated care plan is again sent to the user terminal.

[1515] Input: Updated Care Plan

[1516] Output: Notification to user terminal

[1517] The user will receive a new care plan and continue to manage their pet's health accordingly.

[1518] In this way, the system is designed to comprehensively support the happiness and health of pets and their owners.

[1519] (Application example 2)

[1520] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1521] Conventional pet care systems are unable to provide comprehensive health management for pets, and it is particularly difficult to provide care plans that take into account genetic information and individual health risks. Furthermore, they do not provide advice that takes into account the owner's emotional state, making it difficult to deepen the bond between owner and pet.

[1522] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the genetic information of the pet, generation AI means for generating a care plan optimized for the pet based on the analyzed genetic information, means for transmitting the generated care plan to a user terminal, means for receiving an execution result of the care plan from the user terminal, means for updating the care plan based on the execution result, emotion engine means for analyzing the emotional state of the user, and means for providing advice based on the emotional state of the user analyzed by the emotion engine means. This makes it possible to comprehensively manage the health of the pet and provide psychological support to the owner.

[1523] "Pets" are animals kept by owners at home, such as dogs and cats.

[1524] "Genetic information" refers to DNA and RNA information that determines the genetic characteristics of an organism, and is used to identify a pet's constitution, health risks, allergies, etc.

[1525] "Means for analysis" refers to equipment or software that analyzes the genetic information collected from the sample and extracts and processes the necessary data.

[1526] "Generative AI means" refers to an artificial intelligence or system that automatically generates individual care plans based on the data and information obtained.

[1527] A "care plan" is a specific set of food, exercise, and other care instructions provided to maintain a pet's health and improve its quality of life.

[1528] A "user terminal" refers to a computer device operated by a user, such as a smartphone, tablet, or PC.

[1529] The "emotion engine means" refers to a device or software for analyzing the user's emotional state, and has the function of analyzing facial expressions and tone of voice.

[1530] "Execution results" refers to data that indicates the execution process and results of the provided care plan, and are used to optimize the next care plan.

[1531] The "means for providing advice" refers to a means for providing appropriate advice or suggestions to the user based on the analyzed emotional information and other data.

[1532] A specific system configuration and operation for implementing the present invention will be described.

[1533] System Configuration

[1534] The system of the present invention consists of the following main components:

[1535] 1. A method for analyzing the genetic information of pets

[1536] Samples of pet saliva, hair, etc. are analyzed in a genetic testing lab.

[1537] The analysis is performed using a DNA sequencing device and sequence analysis software.

[1538] 2. Generation AI means

[1539] It uses generative AI models that generate optimized care plans for pets based on their genetic information.

[1540] Generative AI models process data related to health risk management and nutrition plan development.

[1541] 3. Means of sending to user terminal

[1542] The generated care plan is sent to the user's smartphone or tablet via the Internet.

[1543] 4. Means of receiving execution results from user terminals

[1544] The user terminal records the results of the execution of the care plan and transmits them to the server.

[1545] The execution results include the type and amount of food, exercise content, etc.

[1546] 5. A means to update the care plan based on the results of the implementation

[1547] Based on the execution results, the server updates the care plan using an AI model.

[1548] 6. Emotional Engine Means

[1549] It includes an emotion engine that uses the camera and microphone of the user terminal to analyze the user's emotions.

[1550] The emotion engine analyzes facial expressions and tone of voice to determine the user's psychological state.

[1551] 7. Means of Providing Advice

[1552] Based on the user's emotional state analyzed by the emotion engine, the server generates and provides appropriate advice to the user.

[1553] This allows for support that takes into account the user's psychological state.

[1554] Example of operation

[1555] First, the user collects a sample from their pet using a dedicated genetic testing kit. Specifically, they swab the inside of their pet's mouth and place the collected saliva sample in the testing kit. The user then mails this testing kit to a designated genetic testing lab. The genetic testing lab analyzes the sample and extracts the pet's genetic information.

[1556] The analyzed genetic information is then sent to a server, which uses a generative AI model to generate a personalized care plan based on the genetic information, including specific health management techniques, such as customized food and exercise plans for specific allergies.

[1557] The generated care plan is sent to the user's terminal. The user's terminal notifies the user that a new care plan has arrived. The user checks the details of the care plan through the terminal and manages the pet's health in accordance with the plan. The results of the implementation, such as the type and amount of food given and the details of the exercise performed, are recorded and sent to the server.

[1558] The emotion engine analyzes the user's emotions by analyzing facial expressions and tone of voice using the device's camera and microphone. If the emotion engine detects the user's stress level, the server will provide appropriate relaxation suggestions and advice.

[1559] This data is aggregated on a server, and the generative AI model continuously updates the care plan, revising the existing plan based on the new data, and then sending the optimized care plan back to the user's device.

[1560] Prompt Sentence Examples

[1561] Prompt: Generate an optimal care plan based on this pet's genetic information. If the pet is a dog, exclude ingredients if the user is allergic. Also, suggest activities if the user is stressed.

[1562] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1563] Step 1:

[1564] Users use a dedicated genetic testing kit to collect samples from their pets and mail them to a genetic testing lab.

[1565] What it does: The user swabs the inside of their pet's mouth, collects a saliva sample, places it in a test kit, and then mails the kit to a designated genetic testing lab.

[1566] Input: Pet saliva sample

[1567] Output: Samples mailed to the lab

[1568] Step 2:

[1569] A genetic testing laboratory receives the sample and analyzes the genetic information.

[1570] What it does: The lab uses DNA sequencing equipment and sequence analysis software to analyze the genetic information in the sample.

[1571] Input: Sample

[1572] Output: Analyzed genetic information

[1573] Step 3:

[1574] The genetic information is sent to a server, and an optimal care plan is generated by a generative AI means.

[1575] How it works: The server receives the genetic information and activates a generative AI model to generate an optimal care plan for your pet based on the analyzed data, for example, recommending a customized food based on allergy information.

[1576] Input: Analyzed genetic information

[1577] Output: Care plan

[1578] Step 4:

[1579] The generated care plan is sent to the user's terminal and notified.

[1580] Specific operation: The server sends the generated care plan to the user's smartphone or tablet, and the user device displays a notification of the new care plan.

[1581] Input: Care Plan

[1582] Output: Notification on user's device

[1583] Step 5:

[1584] The user executes the care plan through the terminal and records the results.

[1585] Specific operations: The user manages their pet's health according to the care plan and records the results of their actions (e.g., the type and amount of food given, the exercise performed, etc.) on the device.

[1586] Input: Care plan execution results

[1587] Output: Recorded execution results

[1588] Step 6:

[1589] The execution results are sent from the user terminal to the server.

[1590] Specific operation: The user terminal sends the execution results to the server via the Internet.

[1591] Input: Recorded execution results

[1592] Output: Execution results sent to the server

[1593] Step 7:

[1594] The server updates the care plan based on the execution results using a generation AI means.

[1595] Specific operation: The server analyzes the received execution results and corrects and updates the care plan as necessary, for example, by evaluating whether the execution plan is working well and making improvements.

[1596] Input: Execution result

[1597] Output: Updated care plan

[1598] Step 8:

[1599] An emotion engine means operates to analyze the user's emotional state.

[1600] Specific operation: Using the camera and microphone on the user's device, the emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state.

[1601] Input: User's facial expressions and voice

[1602] Output: User's emotional information

[1603] Step 9:

[1604] The server provides advice based on the emotion information analyzed by the emotion engine.

[1605] Specific operation: When a user feels stressed, the server generates relaxation suggestions and simple care advice and sends them to the user's device.

[1606] Input: Emotion information

[1607] Output: Advice

[1608] 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.

[1609] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1610] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1611] 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.

[1612] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[1613] 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.

[1614] 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).

[1615] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1616] 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."

[1617] 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.

[1618] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1619] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1620] 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.

[1621] 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.

[1622] 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.

[1623] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[1624] The hardware resource that executes the specific processing 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 processing may be a single processor.

[1625] 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.

[1626] 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.

[1627] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1628] 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.

[1629] The following is further disclosed regarding the above embodiment.

[1630] (Claim 1)

[1631] A means of analyzing the genetic information of pets,

[1632] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1633] A means for transmitting the generated care plan to a user terminal;

[1634] means for receiving execution results of the care plan from the user terminal;

[1635] a means for updating a care plan based on the execution result;

[1636] A system including:

[1637] (Claim 2)

[1638] A means of analyzing the genetic information of pets,

[1639] A generation AI means for generating a customized food, exercise plan, and care plan appropriate for the pet based on the analyzed genetic information;

[1640] A means for transmitting the generated care plan to a user terminal;

[1641] A system including:

[1642] (Claim 3)

[1643] A means of collecting genetic information about pets;

[1644] means for analyzing the collected genetic information;

[1645] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1646] A means for transmitting the generated care plan to a user terminal;

[1647] a means for receiving an execution result of the care plan from a user terminal and updating the care plan based on the execution result;

[1648] A system including:

[1649] "Example 1"

[1650] (Claim 1)

[1651] A means of collecting genetic information about pets;

[1652] means for analyzing the collected genetic information;

[1653] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1654] A means for transmitting the generated care plan to a user terminal;

[1655] a means for receiving an execution result of the care plan from a user terminal and updating the care plan based on the execution result;

[1656] A system including:

[1657] (Claim 2)

[1658] A means of analyzing the genetic information of pets,

[1659] A generation AI means for generating a customized food, exercise plan, and care plan appropriate for the pet based on the analyzed genetic information;

[1660] A means for transmitting the generated care plan to a user terminal;

[1661] means for receiving execution results of the care plan from the user terminal;

[1662] a means for updating a care plan based on the execution result;

[1663] 10. The system of claim 1, comprising:

[1664] (Claim 3)

[1665] A means of collecting genetic information about pets;

[1666] means for analyzing the collected genetic information;

[1667] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1668] A means for transmitting the generated care plan to a user terminal;

[1669] a means for receiving an execution result of the care plan from a user terminal and updating the care plan based on the execution result;

[1670] 10. The system of claim 1, comprising:

[1671] "Application Example 1"

[1672] (Claim 1)

[1673] A means of analyzing the genetic information of pets,

[1674] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1675] A means for transmitting the generated care plan to a user terminal;

[1676] means for receiving execution results of the care plan from the user terminal;

[1677] a means for updating a care plan based on the execution result;

[1678] A means of monitoring pet behavior in real time,

[1679] means for detecting an abnormality based on the monitoring results and sending an alert to a user terminal;

[1680] A system including:

[1681] (Claim 2)

[1682] a generation AI means for generating a security countermeasure plan based on the monitoring results;

[1683] a means for notifying a user terminal of the generated security measures plan;

[1684] 10. The system of claim 1, comprising:

[1685] (Claim 3)

[1686] A means to detect health risks for pets and suggest preventative measures,

[1687] means for generating and transmitting instructions based on the preventive measures to a user terminal;

[1688] 10. The system of claim 1, comprising:

[1689] "Example 2: Combining Emotion Engines"

[1690] (Claim 1)

[1691] a means for collecting a biological sample from the pet;

[1692] means for analyzing the collected biological sample;

[1693] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1694] A means for transmitting the generated care plan to a user terminal;

[1695] means for recognizing the emotional state of a user using a sensor in the user terminal;

[1696] means for transmitting the recognized emotional state to a server;

[1697] means for receiving execution results of the care plan from the user terminal;

[1698] means for updating a care plan based on the execution results and the recognized emotional state;

[1699] A system including:

[1700] (Claim 2)

[1701] 2. The system according to claim 1, wherein the means for recognizing the user's emotional state is a means for analyzing facial expressions and tone of voice using a camera and a microphone of the user terminal.

[1702] (Claim 3)

[1703] 10. The system of claim 1, further comprising means for transmitting the updated care plan again to the user terminal.

[1704] "Application example 2 when combining emotion engines"

[1705] (Claim 1)

[1706] A means of analyzing the genetic information of pets,

[1707] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1708] A means for transmitting the generated care plan to a user terminal;

[1709] means for receiving execution results of the care plan from the user terminal;

[1710] a means for updating a care plan based on the execution result;

[1711] emotion engine means for analyzing the user's emotional state;

[1712] means for providing advice based on the emotional state of the user analyzed by the emotion engine means;

[1713] A system including:

[1714] (Claim 2)

[1715] A means of analyzing the genetic information of pets,

[1716] A generation AI means for generating a customized food, exercise plan, and care plan appropriate for the pet based on the analyzed genetic information;

[1717] A means for transmitting the generated care plan to a user terminal;

[1718] emotion engine means for analyzing the user's emotional state;

[1719] means for providing advice based on the emotional state of the user analyzed by the emotion engine means;

[1720] A system including:

[1721] (Claim 3)

[1722] A means of collecting genetic information about pets;

[1723] means for analyzing the collected genetic information;

[1724] A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information;

[1725] A means for transmitting the generated care plan to a user terminal;

[1726] a means for receiving an execution result of the care plan from a user terminal and updating the care plan based on the execution result;

[1727] emotion engine means for analyzing the user's emotional state;

[1728] means for providing advice based on the emotional state of the user analyzed by the emotion engine means;

[1729] A system including: [Explanation of symbols]

[1730] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of analyzing the genetic information of pets, A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information; A means for transmitting the generated care plan to a user terminal; means for receiving execution results of the care plan from the user terminal; a means for updating a care plan based on the execution result; A system including:

2. A means of analyzing the genetic information of pets, A generating AI means for generating a customized food, exercise plan, and care plan suitable for a pet based on the analyzed genetic information; A means for transmitting the generated care plan to a user terminal; A system including:

3. A means of collecting genetic information about pets; a means for analyzing the collected genetic information; A generation AI means for generating an optimized care plan for a pet based on the analyzed genetic information; A means for transmitting the generated care plan to a user terminal; a means for receiving an execution result of the care plan from a user terminal and updating the care plan based on the execution result; A system including:

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