system

Abstract

Provide a system. A means for a user to input the schedule, destination, number of participants, experience and age of the participants; A server receives this information and searches the database for suitable climbing routes. A means for the server to generate a required equipment list taking into account the season and route characteristics; A means for the server to evaluate the appropriateness of participants based on their climbing experience and age; A means for the user to review and adjust the generated mountain climbing itinerary; The system includes a means for a server to generate and provide a final mountain climbing plan.

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] Creating a mountain climbing plan is difficult, especially for beginners, as it is hard to understand the creation procedure and necessary information. Furthermore, most mountain climbing plans are currently submitted on paper, lacking the convenience of digital formats. Therefore, there is a need for a system that allows even beginners to easily create detailed mountain climbing plans and support safe and secure mountain climbing. [Means for solving the problem]

[0005] The present invention provides a means for users to input their itinerary, destination, number of participants, their experience, and their ages. Based on this, the server searches a database for suitable climbing routes and generates a required equipment list taking into account the season and route characteristics. The server also evaluates the appropriateness of the route based on the participants' climbing experience and age, and displays the results to the user. The user can review and adjust the generated climbing itinerary, and the server finally generates and provides a detailed climbing itinerary. This itinerary includes a detailed route map, emergency contact information, and weather forecast, and the user can submit and share it in paper form or by email.

[0006] "User" refers to a person or group who uses the system to create a mountain climbing plan.

[0007] "Schedule" refers to the specific date and period for climbing.

[0008] "Destination" refers to the destination or the mountain that is the goal of the climb.

[0009] "Number of participants" refers to the total number of people participating in the climb.

[0010] "Participant" refers to each individual who participates in the climb.

[0011] "Experience" refers to the participant's past achievements and level of knowledge regarding mountaineering.

[0012] "Age" refers to the age of the participant.

[0013] A "means" refers to a part of a method or system used to achieve a particular purpose.

[0014] "Server" refers to a computer system that processes information sent by a user and provides the required data.

[0015] A "database" refers to a collection of information that stores data such as climbing route information and equipment information.

[0016] A "climbing route" refers to the route or path taken when climbing a mountain.

[0017] An "equipment list" refers to a list of tools and clothing needed for mountain climbing.

[0018] "Validity assessment" refers to measuring and judging the safety and appropriateness of a mountain climbing plan.

[0019] A "mountain climbing plan" refers to a document that summarizes a plan for mountain climbing.

[0020] A "detailed route map" refers to a map of a hiking route or a diagram that includes detailed information.

[0021] "Emergency Contact" means contact information for contacting you in an emergency.

[0022] "Weather forecast" refers to weather information for the planned day of climbing.

[0023] "Paper media" refers to physical documents printed on paper.

[0024] "Email" refers to digital messages or files sent over the Internet.

[0025] "Sharing" refers to sharing information or data with another person. [Brief explanation of the drawings]

[0026] [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 showing 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

[0027] 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.

[0028] First, the terms used in the following description will be explained.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] [First embodiment]

[0035] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0036] 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.

[0037] 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).

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0043] 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.

[0044] 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.

[0045] 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.

[0046] 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."

[0047] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0048] System Components

[0049] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[0050] 2. Server: The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on it, and evaluates the suitability of the climbing based on the data of each participant and presents the results to the user.

[0051] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[0052] Program processing overview

[0053] 1. Receiving and Processing Information

[0054] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0055] The terminal transmits the input information to the server.

[0056] 2. Search for hiking routes

[0057] The server searches the database for an appropriate climbing route based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects an appropriate route from candidates such as the Yoshida Route or the Subashiri Route.

[0058] 3. Generating equipment list

[0059] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0060] 4. Evaluation of climbing suitability

[0061] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[0062] 5. Creation and provision of mountain climbing itinerary

[0063] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[0064] Finally, users can download the generated climbing plan in PDF format and submit it in paper form or share it via email.

[0065] Specific examples

[0066] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0067] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0068] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0069] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0070] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0071] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0072] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0073] The processing flow will be explained below.

[0074] Step 1:

[0075] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0076] Step 2:

[0077] The terminal transmits the input information to the server.

[0078] Step 3:

[0079] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination.

[0080] Step 4:

[0081] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[0082] Step 5:

[0083] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0084] Step 6:

[0085] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score.

[0086] Step 7:

[0087] The server returns the validity evaluation result (score) to the terminal and displays it to the user.

[0088] Step 8:

[0089] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[0090] Step 9:

[0091] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[0092] Step 10:

[0093] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[0094] Step 11:

[0095] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[0096] Step 12:

[0097] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[0098] Example 1

[0099] 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."

[0100] In recent years, with the boom in mountain climbing, there is a demand for easy and safe mountain climbing plans, even for beginners. However, it is extremely difficult to manually collect the appropriate information for mountain climbing plans, list the necessary equipment, and assess risks according to climbing experience. Beginners, in particular, have difficulty determining which routes are safe and what equipment is required, which can result in inadequate planning. This can lead to concerns that a safe and secure mountain climb will not be ensured.

[0101] 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.

[0102] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the terminal to send the input information to the server, means for the server to receive this information and search a database for an appropriate climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' climbing experience and age, means for the server to generate a detailed climbing itinerary based on the climbing route, equipment list, and risk assessment results and provide a download URL, and means for the user to check and adjust the generated climbing itinerary. This makes it possible to automatically generate a safe and secure climbing itinerary that is easy to use even for beginners.

[0103] The term "user" refers to an individual or group that uses the present invention to create a mountain climbing plan.

[0104] A "terminal" is a device used by a user to input information, and specifically includes a smartphone or a personal computer.

[0105] A "server" is a computer system that receives information sent by a user and performs the necessary calculations and data processing.

[0106] A "database" is a collection of information that stores climbing route information, equipment information, experience evaluation data, and so on.

[0107] A "mountain climbing route" refers to a specific route a climber can choose to take to ascend or descend a mountain.

[0108] An "equipment list" refers to a list of equipment required when climbing a mountain.

[0109] "Appropriateness" refers to assessing the suitability and safety of a climb based on factors such as the participants' climbing experience and age.

[0110] A "mountain climbing plan" refers to a detailed written plan for mountain climbing that includes the climbing route, equipment list, risk assessment results, etc.

[0111] "Detailed route map" refers to map information that specifically shows the mountain climbing route.

[0112] "Emergency Contacts" refers to a list of contacts to be contacted in the event of an emergency.

[0113] "Weather forecast" refers to weather information for the planned schedule that can be used as a reference when making mountain climbing plans.

[0114] "Download URL" refers to a link that allows users to obtain digital files such as created mountain climbing plans via the Internet.

[0115] "Risk assessment" refers to a method of calculating the safety and appropriateness of a mountain climbing plan as a score or evaluation.

[0116] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0117] System Components

[0118] 1. User's device

[0119] Users use their own devices, such as smartphones or computers, to input information for creating a mountain climbing plan, including the date, destination, number of participants, and each participant's climbing experience and age.

[0120] 2. Server

[0121] The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on the information, and evaluates the suitability of the climbing based on the data of each participant, and presents the results to the user.

[0122] 3. Database

[0123] It stores information on hiking routes, equipment, and weather information.

[0124] Program processing overview

[0125] Receiving and processing information

[0126] The user inputs the date, destination, number of participants, and each participant's climbing experience and age into the terminal. After completing the input, the terminal sends this information to the server in JSON format.

[0127] Search for hiking routes

[0128] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select an appropriate route from the Yoshida Route, Subashiri Route, etc.

[0129] Generating equipment lists

[0130] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists items such as hiking boots, rainwear, warm clothing, a headlamp, and water from the equipment information in the database.

[0131] Assessment of climbing suitability

[0132] The server runs an algorithm to assess the suitability of the climb based on the participant's climbing experience and age data, and performs a risk assessment by referencing past statistical data and performance data stored in a database.

[0133] Creation and provision of mountain climbing itineraries

[0134] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, and weather forecast. The plan is created in PDF format and can be downloaded by the user from the corresponding download URL. The user can review the plan and modify or regenerate it as necessary.

[0135] Specific examples

[0136] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0137] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0138] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0139] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0140] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0141] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0142] Example of input prompt for generative AI model

[0143] "We plan to climb Mount Fuji on July 23, 2023. There are three participants, aged 25, 30, and 40, and it will be our first time climbing a mountain. Please provide us with the climbing route, a list of necessary equipment, and a risk assessment."

[0144] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0145] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0146] Step 1:

[0147] The user launches a mountain climbing plan creation application on their smartphone or computer. The user then fills in the application's input form with the schedule, destination, number of participants, and each participant's climbing experience and age. After completing the input, the user clicks the "Submit" button to send the information.

[0148] Input: Date, destination, number of participants, climbing experience and age of each participant

[0149] Output: JSON format data sent from the terminal to the server

[0150] Step 2:

[0151] The device calls an API to send the entered information to the server. The data is sent to the server in JSON format, and a validation process is performed to ensure the data is accurate and in the correct format.

[0152] Input: Data entered by the user

[0153] Output: Validated JSON data sent to the server

[0154] Step 3:

[0155] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select from candidates such as the Yoshida Route or the Subashiri Route.

[0156] Input: JSON format data (including destination information)

[0157] Output: Selected climbing route information (e.g. Yoshida Route)

[0158] Step 4:

[0159] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists necessary equipment according to the season and route, such as hiking boots, rainwear, warm clothing, headlamps, and water, based on the equipment information in the database.

[0160] Input: Selected climbing route information, seasonal information

[0161] Output: Generated equipment list

[0162] Step 5:

[0163] The server runs an algorithm to evaluate the suitability of the climb based on the participant's climbing experience and age data. This algorithm references past statistical data and performance data stored in a database to perform a risk assessment. The results of this assessment are output as a score.

[0164] Input: Participant's climbing experience, age data

[0165] Output: Risk assessment score (e.g. 90 / 100)

[0166] Step 6:

[0167] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, weather forecast, etc. The plan is created in PDF format and a download URL is generated.

[0168] Input: Climbing route information, equipment list, risk assessment results

[0169] Output: Mountain climbing plan in PDF format, download URL

[0170] Step 7:

[0171] Users can download the PDF file from the provided link, review the plan, and, if necessary, revise and regenerate it. Users can then print the final climbing plan or share it via email.

[0172] Input: Download URL

[0173] Output: Confirmed climbing plan, regenerated plan (optional)

[0174] (Application example 1)

[0175] 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."

[0176] Creating a mountain climbing plan has traditionally been a time-consuming task, particularly for beginners. Furthermore, properly preparing the necessary equipment for a mountain climb requires gathering a lot of information and making decisions based on that information. Therefore, there was a need for a system that could automatically generate a mountain climbing plan and easily purchase the necessary equipment during the process.

[0177] 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.

[0178] In this invention, the server includes a means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, a means for the server to receive this information and search a database for an appropriate climbing route, a means for the server to generate a necessary equipment list taking into account the season and characteristics of the route, and an electronic payment function for the user to purchase items on the generated equipment list within the application. This makes it possible for even beginners to easily create a detailed climbing itinerary and efficiently purchase the necessary equipment.

[0179] A "user" is a person who inputs information to create a mountain climbing itinerary.

[0180] The "server" is a computer system that automatically generates a mountain climbing itinerary based on information received from the user and provides a list of necessary equipment.

[0181] The "database" is a data management system that stores climbing route information, equipment information, and other necessary information.

[0182] The "mountain climbing route" refers to a path for climbing a mountain based on a mountain climbing destination selected by the user.

[0183] An "equipment list" is a list of all the equipment needed for mountain climbing.

[0184] A "mountain climbing plan" is a document that describes a detailed plan for a user to climb a mountain safely and efficiently.

[0185] The "electronic payment function" is a payment method that allows the user to purchase the necessary equipment listed in the equipment list within the application.

[0186] "Emergency contact information" includes information about people and organizations to contact in the event of an emergency while climbing.

[0187] "Weather forecast" is information about the predicted weather conditions during the mountain climbing route.

[0188] "PDF format" is a type of electronic document and a standard format for displaying and printing mountain climbing itineraries on electronic devices.

[0189] The present invention is a system that automatically generates mountain climbing itineraries and allows users to electronically pay for equipment. The system begins when a user inputs the itinerary, destination, number of participants, and each participant's mountain climbing experience and age. A specific embodiment of the present invention will be described below.

[0190] Hardware and software used

[0191] Hardware:

[0192] Smartphone (iOS / ANDROID (registered trademark))

[0193] Computer (server)

[0194] Robots (such as delivery assistant robots)

[0195] software:

[0196] Smartphone app development frameworks: React Native, Flutter (registered trademark), etc.

[0197] Server-side frameworks: Node.js, Express

[0198] Database management system: MySQL or MongoDB

[0199] Electronic payment API: Stripe, PayPal, etc.

[0200] System Operation

[0201] 1. Receiving and Processing Information:

[0202] Using a smartphone app, users input information to create a mountain climbing plan (e.g., itinerary, destination, number of participants, each participant's climbing experience, and age). This information is sent from the device to the server.

[0203] 2. Automatic generation of mountain climbing itineraries:

[0204] The server then searches the database for suitable climbing routes based on the received information, and generates a list of necessary equipment, taking into account the season and the characteristics of the route. This process also takes into account past statistical data and weather information.

[0205] 3. Electronic payment function:

[0206] After generating the equipment list, the server provides an electronic payment function that allows users to purchase the necessary equipment within the app. This function is implemented using electronic payment APIs such as Stripe and PayPal.

[0207] 4. Providing a climbing plan:

[0208] The server generates the final climbing plan and provides it to the user in PDF format, which the user can download, save, or share.

[0209] Specific examples

[0210] For example, consider the case where a user makes a plan to climb Mt. Yatsugatake on October 15, 2023. There are four participants, and it is the first time for each of them to climb a mountain. After this information is entered, the process proceeds as follows:

[0211] 1. Route selection:

[0212] The server searches for hiking routes on Mt. Yatsugatake and selects an appropriate route (e.g., Akagi route).

[0213] 2. Generate equipment list:

[0214] Generate a list of equipment necessary for climbing Mt. Yatsugatake in autumn and provide recommended items to the user based on this list (e.g., hiking boots, rainwear, winter clothing, headlamp).

[0215] 3. Utilizing electronic payment functions:

[0216] Users can select and purchase the equipment they need within the app, following the equipment list. This process is carried out using the Stripe API.

[0217] 4. Providing a climbing plan:

[0218] The server generates the final climbing plan in PDF format and provides it to the user, who can then download it and print it out or share it via email.

[0219] Prompt Sentence Examples

[0220] An example of a prompt for a generative AI model is as follows:

[0221] Please automatically generate an optimal mountain climbing itinerary based on the mountain climbing information entered by the user (e.g., itinerary, destination, number of participants, each participant's climbing experience and age). Then, please make the items on the generated mountain climbing equipment list available for purchase within the app. Please use the Stripe API as an electronic payment function. Finally, please provide an option to download the mountain climbing itinerary in PDF format.

[0222] This system allows even beginners to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[0223] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0224] Step 1:

[0225] The user inputs the itinerary, destination, number of participants, and each participant's climbing experience and age into their smartphone. This input information is sent to the server through the application form. The input of this step is the user's climbing plan information, and the output is that this information is sent to the server.

[0226] Step 2:

[0227] The server processes the received information and searches the database for an appropriate climbing route. The server queries the database based on the destination and schedule to identify the optimal route. The input is the user's climbing plan information, and the output is data on an appropriate climbing route. Specifically, if the climbing destination is "Yatsugatake," the server selects an appropriate route (e.g., Akadake Route) from the multiple climbing routes on Yatsugatake.

[0228] Step 3:

[0229] The server generates a list of necessary equipment taking into account the characteristics of the season and the route. For example, an equipment list for climbing Mt. Yatsugatake in autumn would include hiking boots, rainwear, warm clothing, a headlamp, etc. This equipment list is generated by referencing seasonal equipment data in the database. The input is information about the hiking route and the season, and the output is an equipment list.

[0230] Step 4:

[0231] The server evaluates the appropriateness of the participants based on their climbing experience and age. The server then uses statistical data and past performance data to perform a risk assessment. For example, if everyone is a beginner climber, the risk level will be assessed as high. This assessment result is presented to the user. The input is participant information, and the output is the appropriateness assessment result.

[0232] Step 5:

[0233] The user checks the generated mountain climbing plan and uses the electronic payment function to purchase the necessary equipment. The user selects the necessary items from the equipment list and proceeds with the purchase procedure within the application. The server processes the payment using the Stripe API or similar. The input is the equipment list and the user's purchase selection, and the output is a payment completion notification.

[0234] Step 6:

[0235] The server generates the final climbing plan and provides it to the user in PDF format. The climbing plan includes detailed route maps, emergency contact information, weather forecasts, etc. The user can download, save, or share the plan. The input is the generated climbing plan data, and the output is a PDF file.

[0236] This series of processes enables users, even beginners, to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[0237] 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.

[0238] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines it with an emotion engine to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, and helps to create a safe and secure mountain climbing plan, providing feedback and advice according to the user's emotional state.

[0239] System Components

[0240] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[0241] 2. Server: The server receives the information sent by the user and generates a climbing route and a list of necessary equipment based on it. It also evaluates the suitability of each participant based on their data and presents the results to the user. It also uses an emotion engine to recognize the user's emotional state and use that information to adjust the service.

[0242] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[0243] 4. Emotion Engine: Recognizes the user's emotional state and provides that information to the server, which then adjusts the mountaineering plan and equipment recommendations based on that information.

[0244] Program processing overview

[0245] 1. Receiving and Processing Information

[0246] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0247] The terminal transmits the input information to the server.

[0248] 2. Search for hiking routes

[0249] The server searches the database for suitable climbing route information based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects the appropriate route from candidates such as the Yoshida Route and the Subashiri Route.

[0250] 3. Generating equipment list

[0251] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0252] 4. Evaluation of climbing suitability

[0253] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[0254] 5. Recognizing emotional states

[0255] An emotion engine recognizes the user's emotional state as they input information, and this information is used to adjust the hiking plan. For example, if the user is nervous, the server will suggest an easy route for beginners.

[0256] 6. Providing Feedback

[0257] The server uses the information obtained from the emotion engine to provide advice and relaxation suggestions to the user. For example, if the user is feeling stressed, it will recommend breathing techniques or simple exercises to help them relax.

[0258] 7. Creation and provision of mountain climbing itinerary

[0259] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[0260] The server generates a detailed hiking itinerary (in PDF format) and provides it to the device, which the user can download, submit in paper form, or share via email.

[0261] Specific examples

[0262] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0263] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0264] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0265] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0266] 4. The emotion engine recognizes the user's emotions when typing and detects nervousness. Based on this information, the server provides beginners with explanations and advice to help them feel at ease.

[0267] 5. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0268] 6. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0269] By adding an emotion engine, the system of the present invention can respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[0270] The processing flow will be explained below.

[0271] Step 1:

[0272] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0273] Step 2:

[0274] The emotion engine recognizes the user's emotional state from facial expressions and voice input, and this information is sent from the device to the server.

[0275] Step 3:

[0276] The terminal transmits the information and emotional state data input by the user to the server.

[0277] Step 4:

[0278] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination. For example, if the destination is Mount Fuji, it retrieves detailed information on the Yoshida Trail and the Subashiri Trail.

[0279] Step 5:

[0280] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[0281] Step 6:

[0282] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0283] Step 7:

[0284] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score. For example, if all participants are beginners, a risk assessment is performed and a score (e.g., 90 / 100) is calculated.

[0285] Step 8:

[0286] The server then adjusts the mountain climbing plan and equipment list based on the user's emotional state, which is obtained from the emotion engine. For example, if the user is nervous, it will provide an easy course for beginners and a reassuring message.

[0287] Step 9:

[0288] The server returns the validity evaluation results (scores) and the adjusted mountain climbing plan to the terminal and displays them to the user.

[0289] Step 10:

[0290] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[0291] Step 11:

[0292] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[0293] Step 12:

[0294] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[0295] Step 13:

[0296] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[0297] Step 14:

[0298] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[0299] Example 2

[0300] 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."

[0301] Conventional mountain climbing plan generation systems were unable to provide feedback based on the climber's emotional state, resulting in a lack of appropriate advice for beginners and nervous users. Furthermore, the evaluation of the validity of the climb was subjective, creating safety issues. Furthermore, there was a lack of a way to generate detailed mountain climbing plans or to easily share them.

[0302] 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.

[0303] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the server to receive this information and search a database for an appropriate mountain climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and ages, means for recognizing the user's emotional state using emotion recognition technology, means for providing feedback and advice based on the user's emotional state, means for the user to confirm and adjust the mountain climbing itinerary created, and means for the server to create and provide a final mountain climbing itinerary. This makes it possible to create a mountain climbing itinerary that is flexible and safe according to the user's emotional state.

[0304] "Means for users to input dates, destinations, number of participants, participant experience, and ages" refers to an interface through which users input dates, destinations, number of participants, participant experience, and ages, typically a software application with forms and input fields.

[0305] "Means for the server to receive this information and search for suitable climbing routes from the database" refers to the algorithms and processes by which the server receives the information sent by the user and, based on that information, searches for suitable climbing routes from the database.

[0306] "Means for the server to generate a list of necessary equipment taking into account the season and characteristics of the route" refers to a function for the server to generate a list of equipment necessary for climbing taking into account the selected climbing route and its season.

[0307] "Means by which the server assesses the appropriateness of a climbing plan based on the participant's climbing experience and age" refers to the algorithms and processes by which the server assesses the feasibility and risk of a climbing plan based on information about the participant's climbing experience and age.

[0308] "Means for recognizing a user's emotional state using emotion recognition technology" refers to a function that enables a server to use natural language processing technology or machine learning algorithms to recognize a user's emotional state from the text entered by the user or their reactions.

[0309] "Means for providing feedback and advice based on the user's emotional state" refers to a function that enables the server to provide appropriate feedback and advice based on the result of recognizing the user's emotional state.

[0310] "Means for the user to check and adjust the mountain climbing itinerary created" refers to an interface that allows the user to check the contents of the mountain climbing itinerary created by the server and adjust it as necessary.

[0311] "Means for the server to generate and provide the final mountain climbing plan" refers to the function by which the server creates the final mountain climbing plan based on the input information and calculation results and provides it to the user.

[0312] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines emotion recognition technology to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, assists in creating a safe and secure mountain climbing plan, and provides feedback and advice according to the user's emotional state.

[0313] System Components

[0314] 1. User's device

[0315] Users use their own devices, such as smartphones or PCs, to input information for creating a mountain climbing plan. The information to be input includes the schedule, destination, number of participants, and each participant's climbing experience and age. The device provides a form that runs on a browser such as GOOGLE CHROME (registered trademark), collects the input data using JavaScript (registered trademark), and sends it to the server via an HTTP request.

[0316] 2. Server

[0317] The server receives information sent by the user via web server software such as Apache or Nginx. Based on the received information, the server performs the following actions:

[0318] Searching for climbing routes: A script written in Python or Java searches for suitable climbing routes from databases such as MySQL or PostgreSQL. For example, if Mount Fuji is selected as a destination, the script searches for possible routes such as the Yoshida Route and the Subashiri Route.

[0319] Generating an equipment list: A list of necessary equipment is generated taking into account the characteristics of the climbing season and the selected route. For example, climbing Mt. Fuji in the summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0320] Assessment of climbing suitability: Based on the climbing experience and age of participants, past statistical data is used to assess the suitability of climbing. For example, ElasticSearch (registered trademark) is used to search past data, and if there are many beginners, the risk level of climbing is calculated.

[0321] Emotional State Recognition: Using emotion recognition technology, we use deep learning frameworks such as TENSORFLOW® and PyTorch to recognize the emotional state from the user's input text. For example, we can detect tension from the text entered by the user.

[0322] Providing feedback: Based on the results of emotion recognition, the server provides the user with advice and feedback for relaxation, such as suggesting breathing techniques or stretching exercises.

[0323] 3. Database

[0324] The database stores information on mountain climbing routes, equipment, and weather, allowing the server to quickly retrieve the necessary data and perform appropriate processing.

[0325] 4. Emotion recognition technology

[0326] Emotion recognition technology is used to analyze a user's emotional state from text input and other responses, making it possible to suggest an easy course of action if the user is nervous, or provide feedback to help them relax.

[0327] Specific examples

[0328] For example, suppose a user enters "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all of them to climb a mountain. When the user enters this information into a terminal and clicks the send button, the terminal sends the information to the server via an HTTP request. The server receives this information and processes it as follows:

[0329] 1. Search for climbing routes on Mount Fuji and select the Yoshida Route, which is suitable for beginners.

[0330] 2. Create a list of necessary equipment (hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[0331] 3. Evaluate the appropriateness of the climb based on the participant's experience and age and calculate a rating (e.g., 90 / 100).

[0332] 4. Emotion recognition technology recognizes the user's emotions when they input, and detects if they are nervous. Based on this information, the server provides advice on how to relax.

[0333] 5. Finally, the server generates a detailed hiking itinerary in PDF format, which users can download to their devices or share via email.

[0334] Example prompts for generative AI models

[0335] Below are some example prompts to be input to a generative AI model (e.g., GPT-3 (registered trademark)):

[0336] "Please explain a system that generates a mountain climbing itinerary. In this system, the server automatically generates a mountain climbing itinerary based on information about the mountain climbing entered by the user, and the system can recognize the user's emotional state using emotion recognition technology. Please explain in detail each stage of the process: searching for a mountain climbing route, generating an equipment list, evaluating the appropriateness of the climb, recognizing the emotional state, providing feedback, and generating and providing the mountain climbing itinerary."

[0337] By adding emotion recognition technology, the system of the present invention is able to respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[0338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0339] Program processing steps

[0340] Step 1:

[0341] The user inputs information about the mountain climbing plan using their own terminal. This information includes the date, destination, number of participants, and each participant's climbing experience and age. The user completes the input and clicks the send button.

[0342] Input: The user enters information such as the date, destination, number of participants, and each participant's climbing experience and age into the form.

[0343] Output: The device formats the input information as an HTTP request.

[0344] Step 2:

[0345] When the submit button is clicked, the terminal uses JavaScript to collect input data, generates an HTTP request (POST request), and sends it to the server.

[0346] Input: User input information (date, destination, number of participants, each participant's climbing experience and age).

[0347] Data processing: JavaScript collects the data and converts it into a format such as JSON.

[0348] Output: The formatted data that is sent to the server as an HTTP request.

[0349] Step 3:

[0350] The server receives HTTP requests via Apache or Nginx and uses scripts written in Python or Java to search a database for suitable climbing routes.

[0351] Input: User input information received by the server.

[0352] Data calculation: The server generates SQL queries and searches for climbing route information from databases such as MySQL or PostgreSQL.

[0353] Output: Appropriate climbing route information (e.g. Yoshida Route, Subashiri Route on Mt. Fuji, etc.).

[0354] Step 4:

[0355] The server generates the equipment list in Python and Java, taking into account the season of climbing and the characteristics of the selected route.

[0356] Input: Climbing route information and season information received by the server.

[0357] Data calculation: The server uses an algorithm to generate a list of necessary equipment (e.g. hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[0358] Output: Generated equipment list.

[0359] Step 5:

[0360] The server evaluates the suitability of participants based on their climbing experience and age, and calculates the safety and risk levels by referencing databases such as Elasticsearch.

[0361] Input: Climbing experience and age information of participants received by the server.

[0362] Data calculation: Calculate validity and risk level using past statistical data (e.g. safety level 90 / 100).

[0363] Output: Validation results.

[0364] Step 6:

[0365] Using emotion recognition technology, we recognize the user's emotional state using TensorFlow and PyTorch. We extract emotions from the user's input text and identify emotions such as tension or anxiety.

[0366] Input: The text entered by the user.

[0367] Data Computing: Analyzing emotional states using natural language processing techniques.

[0368] Output: Perceived emotional state.

[0369] Step 7:

[0370] The server provides appropriate feedback and advice to the user based on the emotion recognition results. For example, it suggests ways to relax to a tense user.

[0371] Input: Perceived emotional state.

[0372] Data processing: Generate advice and feedback to provide.

[0373] Output: The feedback provided to the user.

[0374] Step 8:

[0375] The server generates the final climbing plan and creates it in PDF format. It uses tools such as LaTeX and ReportLab to generate a detailed plan and provides a download link.

[0376] Input: All generated data (climbing route, equipment list, validity assessment, emotional feedback, etc.).

[0377] Data processing: Create a detailed mountain climbing plan using a PDF generation tool.

[0378] Output: Final climbing plan (PDF format).

[0379] Step 9:

[0380] The user downloads the final climbing plan using the download link provided by the server. If necessary, the plan can be shared on paper or via email.

[0381] Input: Download link from the server.

[0382] Output: The mountain climbing plan downloaded by the user.

[0383] (Application example 2)

[0384] 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."

[0385] When planning a mountain climb, users need a system that can centrally manage all the necessary information and help them create a safe and appropriate plan. However, current systems are unable to manage multiple elements, such as mountain climbing plans and meal plans, in an integrated manner, which can cause users to feel emotionally stressed. Furthermore, there is a lack of systems that provide appropriate feedback based on the user's emotional state based on the information entered by the user. This situation can potentially compromise a safe and comfortable mountain climbing experience.

[0386] The specific processing by the specific 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 the user to input the itinerary, destination, number of participants, and the participants' experience and age; means for the server to receive this information and search for an appropriate mountain climbing route from a database; means for the server to generate a necessary equipment list taking into account the season and characteristics of the route; means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and age; means for the user to input ingredient and recipe information; means for the server to receive the ingredient and recipe information and generate an optimal meal plan from a database; means for an emotion engine to recognize the user's emotional state; means for the server to provide the user with appropriate feedback and relaxation suggestions based on the user's emotional state; means for the user to confirm and adjust the mountain climbing itinerary and meal plan created by the user; and means for the server to generate and provide the final mountain climbing itinerary and meal plan. This allows the user to centrally manage information and create a safe and comfortable mountain climbing and meal plan.

[0387] A "user terminal" is an electronic device that allows a user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information.

[0388] A "server" is a central processing unit that receives information sent from a user terminal, searches and generates necessary information from a database, and provides it to the user.

[0389] The "database" is an information collection device that stores information on mountain climbing routes, equipment, weather information, and information necessary for meal planning.

[0390] A "mountain climbing plan" is a document that includes a detailed schedule of the climb, a route map, emergency contact information, weather forecast, and a list of necessary equipment.

[0391] A "meal plan" is a document that generates an optimal meal plan based on the ingredients and recipe information entered by the user.

[0392] An "emotion engine" is a system that recognizes the emotional state of a user when they input information and provides that information to a server.

[0393] "Feedback" is advice or relaxation suggestions provided based on the user's emotional state.

[0394] "Relaxation suggestions" are information such as breathing techniques or simple exercises to improve the user's emotional state.

[0395] "Appropriateness assessment" is the process by which the server assesses the suitability of a climb based on the participant's climbing experience and age.

[0396] An "equipment list" is a document that lists the items necessary for mountain climbing.

[0397] The "final plan" is a finalized version of the mountain climbing plan and meal plan that is generated by the server, reflecting the results of the user's confirmation and adjustment.

[0398] The system for implementing this invention includes a user terminal, a server, a database, and an emotion engine. The specific operation of each element and the hardware and software used will be described in detail below.

[0399] User terminal

[0400] The user terminal is a device such as a smartphone or PC, and provides a means for the user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information. A data input application runs on the user terminal, and the information entered through this application is sent to the server.

[0401] server

[0402] The server receives information sent from the user terminal and functions as a central processing unit. Specifically, the server consists of the following software:

[0403] Python: a programming language

[0404] TensorFlow: A machine learning library for building emotion engines

[0405] SQLite: Database Management

[0406] Flask: a framework for building servers

[0407] The server generates a hiking itinerary and a meal plan based on the received information. It also uses an emotion engine to recognize the user's emotional state and provides appropriate feedback and relaxation suggestions.

[0408] Database

[0409] The database stores information on mountain climbing routes, equipment, weather information, and meal planning. The server refers to this database when searching and generating the necessary information.

[0410] Emotion Engine

[0411] The emotion engine is composed of a machine learning model using TensorFlow. This allows it to accurately recognize the emotional state of the user when inputting information and provides that information to the server. Based on this emotional state, the server can provide appropriate feedback and relaxation suggestions to the user.

[0412] Specific examples of usage procedures

[0413] For example, if a user wants to plan a mountain climb and a meal plan at the same time, here is a specific example:

[0414] 1. The user opens the app on their smartphone and enters the dates, destination, number of participants, experience level, and age of participants to plan their mountain climbing.

[0415] 2. Next, enter ingredients and recipe information for your meal plan.

[0416] 3. This information is sent to a server, which generates an appropriate climbing route and meal plan from its database.

[0417] 4. The emotion engine recognizes the user's emotional state and suggests relaxation methods and simple recipes if the user is feeling stressed.

[0418] 5. Finally, the generated mountain climbing plan and meal plan (PDF format) are provided to the user's device, where the user can review and adjust them.

[0419] Prompt Sentence Examples

[0420] Examples of prompts include:

[0421] "I'd like to plan meals for the weekend. The ingredients are chicken, cabbage, carrots, and onions. Could you please give me some easy recipes? I'm also feeling stressed, so I'd appreciate some relaxation advice."

[0422] This system allows users to centrally manage information and plan safe and comfortable mountain climbing and meal plans.

[0423] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0424] Step 1:

[0425] The user opens the smartphone application and inputs the date, destination, number of participants, participants' experience and age, as well as ingredients and recipe information for mountain climbing planning. The input information is sent to the server via the application. The input here is the date, destination, number of participants, each participant's mountain climbing experience and age, as well as ingredients and recipe information. This input information is sent to the server as data.

[0426] Step 2:

[0427] The server receives the information sent by the user and analyzes each data item. The analyzed data items include the schedule, destination, number of participants, participants' climbing experience and age, as well as ingredients and recipe information. Based on the input data, the server processes the data necessary to generate a climbing plan and a meal plan.

[0428] Step 3:

[0429] The server searches the database for an appropriate climbing route. Based on the itinerary and destination, the optimal climbing route is retrieved from the database and referenced. The data calculation here is a search for the destination and itinerary entered by the user. The output is the selected climbing route information.

[0430] Step 4:

[0431] The server generates a required equipment list taking into account the season and the characteristics of the selected climbing route. This process determines the optimal equipment list based on the season and characteristics information. Data corresponding to the input season and route characteristics is extracted from the database, and the optimal equipment list is generated. The generated equipment list is output.

[0432] Step 5:

[0433] The server evaluates the appropriateness of the participants based on their climbing experience and age. The input data here is the participants' experience and age information. The server compares this with past statistical data and performance data and performs the evaluation. The evaluation result is the output.

[0434] Step 6:

[0435] A user inputs ingredients and recipe information into a smartphone application. The input ingredients and recipe information are sent to a server via the application. The input data is the ingredients and recipe information.

[0436] Step 7:

[0437] The server generates an optimal meal plan from the database. Based on the submitted ingredient and recipe information, the server extracts and generates an optimal meal plan from the database. Data calculation involves searching and optimizing the ingredient and recipe information submitted by the user. The generated meal plan is the output.

[0438] Step 8:

[0439] The emotion engine analyzes the input information and recognizes the user's emotional state. The input data is information about the user's input operations. The machine learning model (TensorFlow) is used to recognize the emotional state and provide that information to the server. The output is the user's emotional state data.

[0440] Step 9:

[0441] The server provides appropriate feedback and relaxation suggestions to the user based on their emotional state. The input data is the user's emotional state data provided by the emotion engine. The server generates appropriate feedback and relaxation suggestions and provides them to the user as output.

[0442] Step 10:

[0443] The server generates the final mountain climbing plan and meal plan and provides them to the user's terminal. The generated mountain climbing plan and meal plan are output in PDF format, which the user can check and adjust. The final plan is output.

[0444] Step 11:

[0445] The user submits and shares the generated mountain climbing plan and meal plan on paper or by email. The final plan is downloaded to the user's device and shared on paper or by email. Output is a method for sharing the final plan.

[0446] 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.

[0447] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0448] 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.

[0449] [Second embodiment]

[0450] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0451] 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.

[0452] 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).

[0453] 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.

[0454] 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.

[0455] 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).

[0456] 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. 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.

[0457] 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.

[0458] 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.

[0459] 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.

[0460] In the smart glasses 214, 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.

[0461] 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."

[0462] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0463] System Components

[0464] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[0465] 2. Server: The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on it, and evaluates the suitability of the climbing based on the data of each participant and presents the results to the user.

[0466] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[0467] Program processing overview

[0468] 1. Receiving and Processing Information

[0469] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0470] The terminal transmits the input information to the server.

[0471] 2. Search for hiking routes

[0472] The server searches the database for an appropriate climbing route based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects an appropriate route from candidates such as the Yoshida Route or the Subashiri Route.

[0473] 3. Generating equipment list

[0474] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0475] 4. Evaluation of climbing suitability

[0476] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[0477] 5. Creation and provision of mountain climbing itinerary

[0478] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[0479] Finally, users can download the generated climbing plan in PDF format and submit it in paper form or share it via email.

[0480] Specific examples

[0481] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0482] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0483] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0484] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0485] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0486] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0487] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0488] The processing flow will be explained below.

[0489] Step 1:

[0490] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0491] Step 2:

[0492] The terminal transmits the input information to the server.

[0493] Step 3:

[0494] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination.

[0495] Step 4:

[0496] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[0497] Step 5:

[0498] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0499] Step 6:

[0500] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score.

[0501] Step 7:

[0502] The server returns the validity evaluation result (score) to the terminal and displays it to the user.

[0503] Step 8:

[0504] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[0505] Step 9:

[0506] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[0507] Step 10:

[0508] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[0509] Step 11:

[0510] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[0511] Step 12:

[0512] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[0513] Example 1

[0514] 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."

[0515] In recent years, with the boom in mountain climbing, there is a demand for easy and safe mountain climbing plans, even for beginners. However, it is extremely difficult to manually collect the appropriate information for mountain climbing plans, list the necessary equipment, and assess risks according to climbing experience. Beginners, in particular, have difficulty determining which routes are safe and what equipment is required, which can result in inadequate planning. This can lead to concerns that a safe and secure mountain climb will not be ensured.

[0516] 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.

[0517] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the terminal to send the input information to the server, means for the server to receive this information and search a database for an appropriate climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' climbing experience and age, means for the server to generate a detailed climbing itinerary based on the climbing route, equipment list, and risk assessment results and provide a download URL, and means for the user to check and adjust the generated climbing itinerary. This makes it possible to automatically generate a safe and secure climbing itinerary that is easy to use even for beginners.

[0518] The term "user" refers to an individual or group that uses the present invention to create a mountain climbing plan.

[0519] A "terminal" is a device used by a user to input information, and specifically includes a smartphone or a personal computer.

[0520] A "server" is a computer system that receives information sent by a user and performs the necessary calculations and data processing.

[0521] A "database" is a collection of information that stores climbing route information, equipment information, experience evaluation data, and so on.

[0522] A "mountain climbing route" refers to a specific route a climber can choose to take to ascend or descend a mountain.

[0523] An "equipment list" refers to a list of equipment required when climbing a mountain.

[0524] "Appropriateness" refers to assessing the suitability and safety of a climb based on factors such as the participants' climbing experience and age.

[0525] A "mountain climbing plan" refers to a detailed written plan for mountain climbing that includes the climbing route, equipment list, risk assessment results, etc.

[0526] "Detailed route map" refers to map information that specifically shows the mountain climbing route.

[0527] "Emergency Contacts" refers to a list of contacts to be contacted in the event of an emergency.

[0528] "Weather forecast" refers to weather information for the planned schedule that can be used as a reference when making mountain climbing plans.

[0529] "Download URL" refers to a link that allows users to obtain digital files such as created mountain climbing plans via the Internet.

[0530] "Risk assessment" refers to a method of calculating the safety and appropriateness of a mountain climbing plan as a score or evaluation.

[0531] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0532] System Components

[0533] 1. User's device

[0534] Users use their own devices, such as smartphones or computers, to input information for creating a mountain climbing plan, including the date, destination, number of participants, and each participant's climbing experience and age.

[0535] 2. Server

[0536] The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on the information, and evaluates the suitability of the climbing based on the data of each participant, and presents the results to the user.

[0537] 3. Database

[0538] It stores information on hiking routes, equipment, and weather information.

[0539] Program processing overview

[0540] Receiving and processing information

[0541] The user inputs the date, destination, number of participants, and each participant's climbing experience and age into the terminal. After completing the input, the terminal sends this information to the server in JSON format.

[0542] Search for hiking routes

[0543] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select an appropriate route from the Yoshida Route, Subashiri Route, etc.

[0544] Generating equipment lists

[0545] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists items such as hiking boots, rainwear, warm clothing, a headlamp, and water from the equipment information in the database.

[0546] Assessment of climbing suitability

[0547] The server runs an algorithm to assess the suitability of the climb based on the participant's climbing experience and age data, and performs a risk assessment by referencing past statistical data and performance data stored in a database.

[0548] Creation and provision of mountain climbing itineraries

[0549] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, and weather forecast. The plan is created in PDF format and can be downloaded by the user from the corresponding download URL. The user can review the plan and modify or regenerate it as necessary.

[0550] Specific examples

[0551] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0552] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0553] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0554] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0555] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0556] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0557] Example of input prompt for generative AI model

[0558] "We plan to climb Mount Fuji on July 23, 2023. There are three participants, aged 25, 30, and 40, and it will be our first time climbing a mountain. Please provide us with the climbing route, a list of necessary equipment, and a risk assessment."

[0559] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0560] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0561] Step 1:

[0562] The user launches a mountain climbing plan creation application on their smartphone or computer. The user then fills in the application's input form with the schedule, destination, number of participants, and each participant's climbing experience and age. After completing the input, the user clicks the "Submit" button to send the information.

[0563] Input: Date, destination, number of participants, climbing experience and age of each participant

[0564] Output: JSON format data sent from the terminal to the server

[0565] Step 2:

[0566] The device calls an API to send the entered information to the server. The data is sent to the server in JSON format, and a validation process is performed to ensure the data is accurate and in the correct format.

[0567] Input: Data entered by the user

[0568] Output: Validated JSON data sent to the server

[0569] Step 3:

[0570] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select from candidates such as the Yoshida Route or the Subashiri Route.

[0571] Input: JSON format data (including destination information)

[0572] Output: Selected climbing route information (e.g. Yoshida Route)

[0573] Step 4:

[0574] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists necessary equipment according to the season and route, such as hiking boots, rainwear, warm clothing, headlamps, and water, based on the equipment information in the database.

[0575] Input: Selected climbing route information, seasonal information

[0576] Output: Generated equipment list

[0577] Step 5:

[0578] The server runs an algorithm to evaluate the suitability of the climb based on the participant's climbing experience and age data. This algorithm references past statistical data and performance data stored in a database to perform a risk assessment. The results of this assessment are output as a score.

[0579] Input: Participant's climbing experience, age data

[0580] Output: Risk assessment score (e.g. 90 / 100)

[0581] Step 6:

[0582] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, weather forecast, etc. The plan is created in PDF format and a download URL is generated.

[0583] Input: Climbing route information, equipment list, risk assessment results

[0584] Output: Mountain climbing plan in PDF format, download URL

[0585] Step 7:

[0586] Users can download the PDF file from the provided link, review the plan, and, if necessary, revise and regenerate it. Users can then print the final climbing plan or share it via email.

[0587] Input: Download URL

[0588] Output: Confirmed climbing plan, regenerated plan (optional)

[0589] (Application example 1)

[0590] 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."

[0591] Creating a mountain climbing plan has traditionally been a time-consuming task, particularly for beginners. Furthermore, properly preparing the necessary equipment for a mountain climb requires gathering a lot of information and making decisions based on that information. Therefore, there was a need for a system that could automatically generate a mountain climbing plan and easily purchase the necessary equipment during the process.

[0592] 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.

[0593] In this invention, the server includes a means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, a means for the server to receive this information and search a database for an appropriate climbing route, a means for the server to generate a necessary equipment list taking into account the season and characteristics of the route, and an electronic payment function for the user to purchase items on the generated equipment list within the application. This makes it possible for even beginners to easily create a detailed climbing itinerary and efficiently purchase the necessary equipment.

[0594] A "user" is a person who inputs information to create a mountain climbing itinerary.

[0595] The "server" is a computer system that automatically generates a mountain climbing itinerary based on information received from the user and provides a list of necessary equipment.

[0596] The "database" is a data management system that stores climbing route information, equipment information, and other necessary information.

[0597] The "mountain climbing route" refers to a path for climbing a mountain based on a mountain climbing destination selected by the user.

[0598] An "equipment list" is a list of all the equipment needed for mountain climbing.

[0599] A "mountain climbing plan" is a document that describes a detailed plan for a user to climb a mountain safely and efficiently.

[0600] The "electronic payment function" is a payment method that allows the user to purchase the necessary equipment listed in the equipment list within the application.

[0601] "Emergency contact information" includes information about people and organizations to contact in the event of an emergency while climbing.

[0602] "Weather forecast" is information about the predicted weather conditions during the mountain climbing route.

[0603] "PDF format" is a type of electronic document and a standard format for displaying and printing mountain climbing itineraries on electronic devices.

[0604] The present invention is a system that automatically generates mountain climbing itineraries and allows users to electronically pay for equipment. The system begins when a user inputs the itinerary, destination, number of participants, and each participant's mountain climbing experience and age. A specific embodiment of the present invention will be described below.

[0605] Hardware and software used

[0606] Hardware:

[0607] Smartphone (iOS / Android)

[0608] Computer (server)

[0609] Robots (such as delivery assistant robots)

[0610] software:

[0611] Smartphone app development frameworks: React Native, Flutter, etc.

[0612] Server-side frameworks: Node.js, Express

[0613] Database management system: MySQL or MongoDB

[0614] Electronic payment API: Stripe, PayPal, etc.

[0615] System Operation

[0616] 1. Receiving and Processing Information:

[0617] Using a smartphone app, users input information to create a mountain climbing plan (e.g., itinerary, destination, number of participants, each participant's climbing experience, and age). This information is sent from the device to the server.

[0618] 2. Automatic generation of mountain climbing itineraries:

[0619] The server then searches the database for suitable climbing routes based on the received information, and generates a list of necessary equipment, taking into account the season and the characteristics of the route. This process also takes into account past statistical data and weather information.

[0620] 3. Electronic payment function:

[0621] After generating the equipment list, the server provides an electronic payment function that allows users to purchase the necessary equipment within the app. This function is implemented using electronic payment APIs such as Stripe and PayPal.

[0622] 4. Providing a climbing plan:

[0623] The server generates the final climbing plan and provides it to the user in PDF format, which the user can download, save, or share.

[0624] Specific examples

[0625] For example, consider the case where a user makes a plan to climb Mt. Yatsugatake on October 15, 2023. There are four participants, and it is the first time for each of them to climb a mountain. After this information is entered, the process proceeds as follows:

[0626] 1. Route selection:

[0627] The server searches for hiking routes on Mt. Yatsugatake and selects an appropriate route (e.g., Akagi route).

[0628] 2. Generate equipment list:

[0629] Generate a list of equipment necessary for climbing Mt. Yatsugatake in autumn and provide recommended items to the user based on this list (e.g., hiking boots, rainwear, winter clothing, headlamp).

[0630] 3. Utilizing electronic payment functions:

[0631] Users can select and purchase the equipment they need within the app, following the equipment list. This process is carried out using the Stripe API.

[0632] 4. Providing a climbing plan:

[0633] The server generates the final climbing plan in PDF format and provides it to the user, who can then download it and print it out or share it via email.

[0634] Prompt Sentence Examples

[0635] An example of a prompt for a generative AI model is as follows:

[0636] Please automatically generate an optimal mountain climbing itinerary based on the mountain climbing information entered by the user (e.g., itinerary, destination, number of participants, each participant's climbing experience and age). Then, please make the items on the generated mountain climbing equipment list available for purchase within the app. Please use the Stripe API as an electronic payment function. Finally, please provide an option to download the mountain climbing itinerary in PDF format.

[0637] This system allows even beginners to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[0638] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0639] Step 1:

[0640] The user inputs the itinerary, destination, number of participants, and each participant's climbing experience and age into their smartphone. This input information is sent to the server through the application form. The input of this step is the user's climbing plan information, and the output is that this information is sent to the server.

[0641] Step 2:

[0642] The server processes the received information and searches the database for an appropriate climbing route. The server queries the database based on the destination and schedule to identify the optimal route. The input is the user's climbing plan information, and the output is data on an appropriate climbing route. Specifically, if the climbing destination is "Yatsugatake," the server selects an appropriate route (e.g., Akadake Route) from the multiple climbing routes on Yatsugatake.

[0643] Step 3:

[0644] The server generates a list of necessary equipment taking into account the characteristics of the season and the route. For example, an equipment list for climbing Mt. Yatsugatake in autumn would include hiking boots, rainwear, warm clothing, a headlamp, etc. This equipment list is generated by referencing seasonal equipment data in the database. The input is information about the hiking route and the season, and the output is an equipment list.

[0645] Step 4:

[0646] The server evaluates the appropriateness of the participants based on their climbing experience and age. The server then uses statistical data and past performance data to perform a risk assessment. For example, if everyone is a beginner climber, the risk level will be assessed as high. This assessment result is presented to the user. The input is participant information, and the output is the appropriateness assessment result.

[0647] Step 5:

[0648] The user checks the generated mountain climbing plan and uses the electronic payment function to purchase the necessary equipment. The user selects the necessary items from the equipment list and proceeds with the purchase procedure within the application. The server processes the payment using the Stripe API or similar. The input is the equipment list and the user's purchase selection, and the output is a payment completion notification.

[0649] Step 6:

[0650] The server generates the final climbing plan and provides it to the user in PDF format. The climbing plan includes detailed route maps, emergency contact information, weather forecasts, etc. The user can download, save, or share the plan. The input is the generated climbing plan data, and the output is a PDF file.

[0651] This series of processes enables users, even beginners, to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[0652] 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.

[0653] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines it with an emotion engine to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, and helps to create a safe and secure mountain climbing plan, providing feedback and advice according to the user's emotional state.

[0654] System Components

[0655] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[0656] 2. Server: The server receives the information sent by the user and generates a climbing route and a list of necessary equipment based on it. It also evaluates the suitability of each participant based on their data and presents the results to the user. It also uses an emotion engine to recognize the user's emotional state and use that information to adjust the service.

[0657] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[0658] 4. Emotion Engine: Recognizes the user's emotional state and provides that information to the server, which then adjusts the mountaineering plan and equipment recommendations based on that information.

[0659] Program processing overview

[0660] 1. Receiving and Processing Information

[0661] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0662] The terminal transmits the input information to the server.

[0663] 2. Search for hiking routes

[0664] The server searches the database for suitable climbing route information based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects the appropriate route from candidates such as the Yoshida Route and the Subashiri Route.

[0665] 3. Generating equipment list

[0666] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0667] 4. Evaluation of climbing suitability

[0668] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[0669] 5. Recognizing emotional states

[0670] An emotion engine recognizes the user's emotional state as they input information, and this information is used to adjust the hiking plan. For example, if the user is nervous, the server will suggest an easy route for beginners.

[0671] 6. Providing Feedback

[0672] The server uses the information obtained from the emotion engine to provide advice and relaxation suggestions to the user. For example, if the user is feeling stressed, it will recommend breathing techniques or simple exercises to help them relax.

[0673] 7. Creation and provision of mountain climbing itinerary

[0674] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[0675] The server generates a detailed hiking itinerary (in PDF format) and provides it to the device, which the user can download, submit in paper form, or share via email.

[0676] Specific examples

[0677] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0678] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0679] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0680] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0681] 4. The emotion engine recognizes the user's emotions when typing and detects nervousness. Based on this information, the server provides beginners with explanations and advice to help them feel at ease.

[0682] 5. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0683] 6. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0684] By adding an emotion engine, the system of the present invention can respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[0685] The processing flow will be explained below.

[0686] Step 1:

[0687] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0688] Step 2:

[0689] The emotion engine recognizes the user's emotional state from facial expressions and voice input, and this information is sent from the device to the server.

[0690] Step 3:

[0691] The terminal transmits the information and emotional state data input by the user to the server.

[0692] Step 4:

[0693] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination. For example, if the destination is Mount Fuji, it retrieves detailed information on the Yoshida Trail and the Subashiri Trail.

[0694] Step 5:

[0695] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[0696] Step 6:

[0697] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0698] Step 7:

[0699] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score. For example, if all participants are beginners, a risk assessment is performed and a score (e.g., 90 / 100) is calculated.

[0700] Step 8:

[0701] The server then adjusts the mountain climbing plan and equipment list based on the user's emotional state, which is obtained from the emotion engine. For example, if the user is nervous, it will provide an easy course for beginners and a reassuring message.

[0702] Step 9:

[0703] The server returns the validity evaluation results (scores) and the adjusted mountain climbing plan to the terminal and displays them to the user.

[0704] Step 10:

[0705] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[0706] Step 11:

[0707] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[0708] Step 12:

[0709] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[0710] Step 13:

[0711] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[0712] Step 14:

[0713] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[0714] Example 2

[0715] 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."

[0716] Conventional mountain climbing plan generation systems were unable to provide feedback based on the climber's emotional state, resulting in a lack of appropriate advice for beginners and nervous users. Furthermore, the evaluation of the validity of the climb was subjective, creating safety issues. Furthermore, there was a lack of a way to generate detailed mountain climbing plans or to easily share them.

[0717] 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.

[0718] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the server to receive this information and search a database for an appropriate mountain climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and ages, means for recognizing the user's emotional state using emotion recognition technology, means for providing feedback and advice based on the user's emotional state, means for the user to confirm and adjust the mountain climbing itinerary created, and means for the server to create and provide a final mountain climbing itinerary. This makes it possible to create a mountain climbing itinerary that is flexible and safe according to the user's emotional state.

[0719] "Means for users to input dates, destinations, number of participants, participant experience, and ages" refers to an interface through which users input dates, destinations, number of participants, participant experience, and ages, typically a software application with forms and input fields.

[0720] "Means for the server to receive this information and search for suitable climbing routes from the database" refers to the algorithms and processes by which the server receives the information sent by the user and, based on that information, searches for suitable climbing routes from the database.

[0721] "Means for the server to generate a list of necessary equipment taking into account the season and characteristics of the route" refers to a function for the server to generate a list of equipment necessary for climbing taking into account the selected climbing route and its season.

[0722] "Means by which the server assesses the appropriateness of a climbing plan based on the participant's climbing experience and age" refers to the algorithms and processes by which the server assesses the feasibility and risk of a climbing plan based on information about the participant's climbing experience and age.

[0723] "Means for recognizing a user's emotional state using emotion recognition technology" refers to a function that enables a server to use natural language processing technology or machine learning algorithms to recognize a user's emotional state from the text entered by the user or their reactions.

[0724] "Means for providing feedback and advice based on the user's emotional state" refers to a function that enables the server to provide appropriate feedback and advice based on the result of recognizing the user's emotional state.

[0725] "Means for the user to check and adjust the mountain climbing itinerary created" refers to an interface that allows the user to check the contents of the mountain climbing itinerary created by the server and adjust it as necessary.

[0726] "Means for the server to generate and provide the final mountain climbing plan" refers to the function by which the server creates the final mountain climbing plan based on the input information and calculation results and provides it to the user.

[0727] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines emotion recognition technology to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, assists in creating a safe and secure mountain climbing plan, and provides feedback and advice according to the user's emotional state.

[0728] System Components

[0729] 1. User's device

[0730] Users use their own devices, such as smartphones or PCs, to input information for creating a mountain climbing plan. The information to be input includes the schedule, destination, number of participants, and each participant's climbing experience and age. The device provides a form that runs on a browser such as Google (registered trademark) Chrome, collects the input data using JavaScript, and sends it to the server via an HTTP request.

[0731] 2. Server

[0732] The server receives the information sent by the user via web server software such as Apache or Nginx. Based on the information received, the server performs the following actions:

[0733] Searching for climbing routes: A script written in Python or Java searches for suitable climbing routes from databases such as MySQL or PostgreSQL. For example, if Mount Fuji is selected as a destination, the script searches for possible routes such as the Yoshida Route and the Subashiri Route.

[0734] Generating an equipment list: A list of necessary equipment is generated taking into account the characteristics of the climbing season and the selected route. For example, climbing Mt. Fuji in the summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0735] Assessing the suitability of a climb: Using past statistical data, we evaluate the suitability of a climb based on the climbing experience and age of the participants. For example, we use Elasticsearch to search past data and calculate the risk level of a climb if there are many beginners.

[0736] Emotional State Recognition: Emotion recognition techniques are used to recognize the emotional state from the user's input text using deep learning frameworks such as TensorFlow and PyTorch. For example, detecting tension from the text entered by the user.

[0737] Providing feedback: Based on the results of emotion recognition, the server provides the user with advice and feedback for relaxation, such as suggesting breathing techniques or stretching exercises.

[0738] 3. Database

[0739] The database stores information on mountain climbing routes, equipment, and weather, allowing the server to quickly retrieve the necessary data and perform appropriate processing.

[0740] 4. Emotion recognition technology

[0741] Emotion recognition technology is used to analyze a user's emotional state from text input and other responses, making it possible to suggest an easy course of action if the user is nervous, or provide feedback to help them relax.

[0742] Specific examples

[0743] For example, suppose a user enters "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all of them to climb a mountain. When the user enters this information into a terminal and clicks the send button, the terminal sends the information to the server via an HTTP request. The server receives this information and processes it as follows:

[0744] 1. Search for climbing routes on Mount Fuji and select the Yoshida Route, which is suitable for beginners.

[0745] 2. Create a list of necessary equipment (hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[0746] 3. Evaluate the appropriateness of the climb based on the participant's experience and age and calculate a rating (e.g., 90 / 100).

[0747] 4. Emotion recognition technology recognizes the user's emotions when they input, and detects if they are nervous. Based on this information, the server provides advice on how to relax.

[0748] 5. Finally, the server generates a detailed hiking itinerary in PDF format, which users can download to their devices or share via email.

[0749] Example prompts for generative AI models

[0750] Here are some example prompts to give to a generative AI model (e.g., GPT-3):

[0751] "Please explain a system that generates a mountain climbing itinerary. In this system, the server automatically generates a mountain climbing itinerary based on information about the mountain climbing entered by the user, and the system can recognize the user's emotional state using emotion recognition technology. Please explain in detail each stage of the process: searching for a mountain climbing route, generating an equipment list, evaluating the appropriateness of the climb, recognizing the emotional state, providing feedback, and generating and providing the mountain climbing itinerary."

[0752] By adding emotion recognition technology, the system of the present invention is able to respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[0753] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0754] Program processing steps

[0755] Step 1:

[0756] The user inputs information about the mountain climbing plan using their own terminal. This information includes the date, destination, number of participants, and each participant's climbing experience and age. The user completes the input and clicks the send button.

[0757] Input: The user enters information such as the date, destination, number of participants, and each participant's climbing experience and age into the form.

[0758] Output: The device formats the input information as an HTTP request.

[0759] Step 2:

[0760] When the submit button is clicked, the terminal uses JavaScript to collect input data, generates an HTTP request (POST request), and sends it to the server.

[0761] Input: User input information (date, destination, number of participants, each participant's climbing experience and age).

[0762] Data processing: JavaScript collects the data and converts it into a format such as JSON.

[0763] Output: The formatted data that is sent to the server as an HTTP request.

[0764] Step 3:

[0765] The server receives HTTP requests via Apache or Nginx and uses scripts written in Python or Java to search a database for suitable climbing routes.

[0766] Input: User input information received by the server.

[0767] Data calculation: The server generates SQL queries and searches for climbing route information from databases such as MySQL or PostgreSQL.

[0768] Output: Appropriate climbing route information (e.g. Yoshida Route, Subashiri Route on Mt. Fuji, etc.).

[0769] Step 4:

[0770] The server generates the equipment list in Python and Java, taking into account the season of climbing and the characteristics of the selected route.

[0771] Input: Climbing route information and season information received by the server.

[0772] Data calculation: The server uses an algorithm to generate a list of necessary equipment (e.g. hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[0773] Output: Generated equipment list.

[0774] Step 5:

[0775] The server evaluates the suitability of participants based on their climbing experience and age, and calculates the safety and risk levels by referencing databases such as Elasticsearch.

[0776] Input: Climbing experience and age information of participants received by the server.

[0777] Data calculation: Calculate validity and risk level using past statistical data (e.g. safety level 90 / 100).

[0778] Output: Validation results.

[0779] Step 6:

[0780] Using emotion recognition technology, we recognize the user's emotional state using TensorFlow and PyTorch. We extract emotions from the user's input text and identify emotions such as tension or anxiety.

[0781] Input: The text entered by the user.

[0782] Data Computing: Analyzing emotional states using natural language processing techniques.

[0783] Output: Perceived emotional state.

[0784] Step 7:

[0785] The server provides appropriate feedback and advice to the user based on the emotion recognition results. For example, it suggests ways to relax to a tense user.

[0786] Input: Perceived emotional state.

[0787] Data processing: Generate advice and feedback to provide.

[0788] Output: The feedback provided to the user.

[0789] Step 8:

[0790] The server generates the final climbing plan and creates it in PDF format. It uses tools such as LaTeX and ReportLab to generate a detailed plan and provides a download link.

[0791] Input: All generated data (climbing route, equipment list, validity assessment, emotional feedback, etc.).

[0792] Data processing: Create a detailed mountain climbing plan using a PDF generation tool.

[0793] Output: Final climbing plan (PDF format).

[0794] Step 9:

[0795] The user downloads the final climbing plan using the download link provided by the server. If necessary, the plan can be shared on paper or via email.

[0796] Input: Download link from the server.

[0797] Output: The mountain climbing plan downloaded by the user.

[0798] (Application example 2)

[0799] 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."

[0800] When planning a mountain climb, users need a system that can centrally manage all the necessary information and help them create a safe and appropriate plan. However, current systems are unable to manage multiple elements, such as mountain climbing plans and meal plans, in an integrated manner, which can cause users to feel emotionally stressed. Furthermore, there is a lack of systems that provide appropriate feedback based on the user's emotional state based on the information entered by the user. This situation can potentially compromise a safe and comfortable mountain climbing experience.

[0801] The specific processing by the specific 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 the user to input the itinerary, destination, number of participants, and the participants' experience and age; means for the server to receive this information and search for an appropriate mountain climbing route from a database; means for the server to generate a necessary equipment list taking into account the season and characteristics of the route; means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and age; means for the user to input ingredient and recipe information; means for the server to receive the ingredient and recipe information and generate an optimal meal plan from a database; means for an emotion engine to recognize the user's emotional state; means for the server to provide the user with appropriate feedback and relaxation suggestions based on the user's emotional state; means for the user to confirm and adjust the mountain climbing itinerary and meal plan created by the user; and means for the server to generate and provide the final mountain climbing itinerary and meal plan. This allows the user to centrally manage information and create a safe and comfortable mountain climbing and meal plan.

[0802] A "user terminal" is an electronic device that allows a user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information.

[0803] A "server" is a central processing unit that receives information sent from a user terminal, searches and generates necessary information from a database, and provides it to the user.

[0804] The "database" is an information collection device that stores information on mountain climbing routes, equipment, weather information, and information necessary for meal planning.

[0805] A "mountain climbing plan" is a document that includes a detailed schedule of the climb, a route map, emergency contact information, weather forecast, and a list of necessary equipment.

[0806] A "meal plan" is a document that generates an optimal meal plan based on the ingredients and recipe information entered by the user.

[0807] An "emotion engine" is a system that recognizes the emotional state of a user when they input information and provides that information to a server.

[0808] "Feedback" is advice or relaxation suggestions provided based on the user's emotional state.

[0809] "Relaxation suggestions" are information such as breathing techniques or simple exercises to improve the user's emotional state.

[0810] "Appropriateness assessment" is the process by which the server assesses the suitability of a climb based on the participant's climbing experience and age.

[0811] An "equipment list" is a document that lists the items necessary for mountain climbing.

[0812] The "final plan" is a finalized version of the mountain climbing plan and meal plan that is generated by the server, reflecting the results of the user's confirmation and adjustment.

[0813] The system for implementing this invention includes a user terminal, a server, a database, and an emotion engine. The specific operation of each element and the hardware and software used will be described in detail below.

[0814] User terminal

[0815] The user terminal is a device such as a smartphone or PC, and provides a means for the user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information. A data input application runs on the user terminal, and the information entered through this application is sent to the server.

[0816] server

[0817] The server receives information sent from the user terminal and functions as a central processing unit. Specifically, the server consists of the following software:

[0818] Python: a programming language

[0819] TensorFlow: A machine learning library for building emotion engines

[0820] SQLite: Database Management

[0821] Flask: a framework for building servers

[0822] The server generates a hiking itinerary and a meal plan based on the received information. It also uses an emotion engine to recognize the user's emotional state and provides appropriate feedback and relaxation suggestions.

[0823] Database

[0824] The database stores information on mountain climbing routes, equipment, weather information, and meal planning. The server refers to this database when searching and generating the necessary information.

[0825] Emotion Engine

[0826] The emotion engine is composed of a machine learning model using TensorFlow. This allows it to accurately recognize the emotional state of the user when inputting information and provides that information to the server. Based on this emotional state, the server can provide appropriate feedback and relaxation suggestions to the user.

[0827] Specific examples of usage procedures

[0828] For example, if a user wants to plan a mountain climb and a meal plan at the same time, here is a specific example:

[0829] 1. The user opens the app on their smartphone and enters the dates, destination, number of participants, experience level, and age of participants to plan their mountain climbing.

[0830] 2. Next, enter ingredients and recipe information for your meal plan.

[0831] 3. This information is sent to a server, which generates an appropriate climbing route and meal plan from its database.

[0832] 4. The emotion engine recognizes the user's emotional state and suggests relaxation methods and simple recipes if the user is feeling stressed.

[0833] 5. Finally, the generated mountain climbing plan and meal plan (PDF format) are provided to the user's device, where the user can review and adjust them.

[0834] Prompt Sentence Examples

[0835] Examples of prompts include:

[0836] "I'd like to plan meals for the weekend. The ingredients are chicken, cabbage, carrots, and onions. Could you please give me some easy recipes? I'm also feeling stressed, so I'd appreciate some relaxation advice."

[0837] This system allows users to centrally manage information and plan safe and comfortable mountain climbing and meal plans.

[0838] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0839] Step 1:

[0840] The user opens the smartphone application and inputs the date, destination, number of participants, participants' experience and age, as well as ingredients and recipe information for mountain climbing planning. The input information is sent to the server via the application. The input here is the date, destination, number of participants, each participant's mountain climbing experience and age, as well as ingredients and recipe information. This input information is sent to the server as data.

[0841] Step 2:

[0842] The server receives the information sent by the user and analyzes each data item. The analyzed data items include the schedule, destination, number of participants, participants' climbing experience and age, as well as ingredients and recipe information. Based on the input data, the server processes the data necessary to generate a climbing plan and a meal plan.

[0843] Step 3:

[0844] The server searches the database for an appropriate climbing route. Based on the itinerary and destination, the optimal climbing route is retrieved from the database and referenced. The data calculation here is a search for the destination and itinerary entered by the user. The output is the selected climbing route information.

[0845] Step 4:

[0846] The server generates a required equipment list taking into account the season and the characteristics of the selected climbing route. This process determines the optimal equipment list based on the season and characteristics information. Data corresponding to the input season and route characteristics is extracted from the database, and the optimal equipment list is generated. The generated equipment list is output.

[0847] Step 5:

[0848] The server evaluates the appropriateness of the participants based on their climbing experience and age. The input data here is the participants' experience and age information. The server compares this with past statistical data and performance data and performs the evaluation. The evaluation result is the output.

[0849] Step 6:

[0850] A user inputs ingredients and recipe information into a smartphone application. The input ingredients and recipe information are sent to a server via the application. The input data is the ingredients and recipe information.

[0851] Step 7:

[0852] The server generates an optimal meal plan from the database. Based on the submitted ingredient and recipe information, the server extracts and generates an optimal meal plan from the database. Data calculation involves searching and optimizing the ingredient and recipe information submitted by the user. The generated meal plan is the output.

[0853] Step 8:

[0854] The emotion engine analyzes the input information and recognizes the user's emotional state. The input data is information about the user's input operations. The machine learning model (TensorFlow) is used to recognize the emotional state and provide that information to the server. The output is the user's emotional state data.

[0855] Step 9:

[0856] The server provides appropriate feedback and relaxation suggestions to the user based on their emotional state. The input data is the user's emotional state data provided by the emotion engine. The server generates appropriate feedback and relaxation suggestions and provides them to the user as output.

[0857] Step 10:

[0858] The server generates the final mountain climbing plan and meal plan and provides them to the user's terminal. The generated mountain climbing plan and meal plan are output in PDF format, which the user can check and adjust. The final plan is output.

[0859] Step 11:

[0860] The user submits and shares the generated mountain climbing plan and meal plan on paper or by email. The final plan is downloaded to the user's device and shared on paper or by email. Output is a method for sharing the final plan.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] [Third embodiment]

[0865] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0866] 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.

[0867] 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).

[0868] 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.

[0869] 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.

[0870] 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).

[0871] 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. 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.

[0872] 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.

[0873] 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.

[0874] 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.

[0875] 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.

[0876] 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."

[0877] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0878] System Components

[0879] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[0880] 2. Server: The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on it, and evaluates the suitability of the climbing based on the data of each participant and presents the results to the user.

[0881] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[0882] Program processing overview

[0883] 1. Receiving and Processing Information

[0884] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0885] The terminal transmits the input information to the server.

[0886] 2. Search for hiking routes

[0887] The server searches the database for an appropriate climbing route based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects an appropriate route from candidates such as the Yoshida Route or the Subashiri Route.

[0888] 3. Generating equipment list

[0889] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0890] 4. Evaluation of climbing suitability

[0891] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[0892] 5. Creation and provision of mountain climbing itinerary

[0893] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[0894] Finally, users can download the generated climbing plan in PDF format and submit it in paper form or share it via email.

[0895] Specific examples

[0896] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0897] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0898] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0899] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0900] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0901] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0902] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0903] The processing flow will be explained below.

[0904] Step 1:

[0905] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[0906] Step 2:

[0907] The terminal transmits the input information to the server.

[0908] Step 3:

[0909] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination.

[0910] Step 4:

[0911] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[0912] Step 5:

[0913] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[0914] Step 6:

[0915] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score.

[0916] Step 7:

[0917] The server returns the validity evaluation result (score) to the terminal and displays it to the user.

[0918] Step 8:

[0919] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[0920] Step 9:

[0921] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[0922] Step 10:

[0923] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[0924] Step 11:

[0925] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[0926] Step 12:

[0927] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[0928] Example 1

[0929] 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."

[0930] In recent years, with the boom in mountain climbing, there is a demand for easy and safe mountain climbing plans, even for beginners. However, it is extremely difficult to manually collect the appropriate information for mountain climbing plans, list the necessary equipment, and assess risks according to climbing experience. Beginners, in particular, have difficulty determining which routes are safe and what equipment is required, which can result in inadequate planning. This can lead to concerns that a safe and secure mountain climb will not be ensured.

[0931] 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.

[0932] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the terminal to send the input information to the server, means for the server to receive this information and search a database for an appropriate climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' climbing experience and age, means for the server to generate a detailed climbing itinerary based on the climbing route, equipment list, and risk assessment results and provide a download URL, and means for the user to check and adjust the generated climbing itinerary. This makes it possible to automatically generate a safe and secure climbing itinerary that is easy to use even for beginners.

[0933] The term "user" refers to an individual or group that uses the present invention to create a mountain climbing plan.

[0934] A "terminal" is a device used by a user to input information, and specifically includes a smartphone or a personal computer.

[0935] A "server" is a computer system that receives information sent by a user and performs the necessary calculations and data processing.

[0936] A "database" is a collection of information that stores climbing route information, equipment information, experience evaluation data, and so on.

[0937] A "mountain climbing route" refers to a specific route a climber can choose to take to ascend or descend a mountain.

[0938] An "equipment list" refers to a list of equipment required when climbing a mountain.

[0939] "Appropriateness" refers to assessing the suitability and safety of a climb based on factors such as the participants' climbing experience and age.

[0940] A "mountain climbing plan" refers to a detailed written plan for mountain climbing that includes the climbing route, equipment list, risk assessment results, etc.

[0941] "Detailed route map" refers to map information that specifically shows the mountain climbing route.

[0942] "Emergency Contacts" refers to a list of contacts to be contacted in the event of an emergency.

[0943] "Weather forecast" refers to weather information for the planned schedule that can be used as a reference when making mountain climbing plans.

[0944] "Download URL" refers to a link that allows users to obtain digital files such as created mountain climbing plans via the Internet.

[0945] "Risk assessment" refers to a method of calculating the safety and appropriateness of a mountain climbing plan as a score or evaluation.

[0946] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[0947] System Components

[0948] 1. User's device

[0949] Users use their own devices, such as smartphones or computers, to input information for creating a mountain climbing plan, including the date, destination, number of participants, and each participant's climbing experience and age.

[0950] 2. Server

[0951] The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on the information, and evaluates the suitability of the climbing based on the data of each participant, and presents the results to the user.

[0952] 3. Database

[0953] It stores information on hiking routes, equipment, and weather information.

[0954] Program processing overview

[0955] Receiving and processing information

[0956] The user inputs the date, destination, number of participants, and each participant's climbing experience and age into the terminal. After completing the input, the terminal sends this information to the server in JSON format.

[0957] Search for hiking routes

[0958] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select an appropriate route from the Yoshida Route, Subashiri Route, etc.

[0959] Generating equipment lists

[0960] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists items such as hiking boots, rainwear, warm clothing, a headlamp, and water from the equipment information in the database.

[0961] Assessment of climbing suitability

[0962] The server runs an algorithm to assess the suitability of the climb based on the participant's climbing experience and age data, and performs a risk assessment by referencing past statistical data and performance data stored in a database.

[0963] Creation and provision of mountain climbing itineraries

[0964] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, and weather forecast. The plan is created in PDF format and can be downloaded by the user from the corresponding download URL. The user can review the plan and modify or regenerate it as necessary.

[0965] Specific examples

[0966] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[0967] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[0968] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[0969] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[0970] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[0971] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[0972] Example of input prompt for generative AI model

[0973] "We plan to climb Mount Fuji on July 23, 2023. There are three participants, aged 25, 30, and 40, and it will be our first time climbing a mountain. Please provide us with the climbing route, a list of necessary equipment, and a risk assessment."

[0974] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[0975] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0976] Step 1:

[0977] The user launches a mountain climbing plan creation application on their smartphone or computer. The user then fills in the application's input form with the schedule, destination, number of participants, and each participant's climbing experience and age. After completing the input, the user clicks the "Submit" button to send the information.

[0978] Input: Date, destination, number of participants, climbing experience and age of each participant

[0979] Output: JSON format data sent from the terminal to the server

[0980] Step 2:

[0981] The device calls an API to send the entered information to the server. The data is sent to the server in JSON format, and a validation process is performed to ensure the data is accurate and in the correct format.

[0982] Input: Data entered by the user

[0983] Output: Validated JSON data sent to the server

[0984] Step 3:

[0985] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select from candidates such as the Yoshida Route or the Subashiri Route.

[0986] Input: JSON format data (including destination information)

[0987] Output: Selected climbing route information (e.g. Yoshida Route)

[0988] Step 4:

[0989] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists necessary equipment according to the season and route, such as hiking boots, rainwear, warm clothing, headlamps, and water, based on the equipment information in the database.

[0990] Input: Selected climbing route information, seasonal information

[0991] Output: Generated equipment list

[0992] Step 5:

[0993] The server runs an algorithm to evaluate the suitability of the climb based on the participant's climbing experience and age data. This algorithm references past statistical data and performance data stored in a database to perform a risk assessment. The results of this assessment are output as a score.

[0994] Input: Participant's climbing experience, age data

[0995] Output: Risk assessment score (e.g. 90 / 100)

[0996] Step 6:

[0997] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, weather forecast, etc. The plan is created in PDF format and a download URL is generated.

[0998] Input: Climbing route information, equipment list, risk assessment results

[0999] Output: Mountain climbing plan in PDF format, download URL

[1000] Step 7:

[1001] Users can download the PDF file from the provided link, review the plan, and, if necessary, revise and regenerate it. Users can then print the final climbing plan or share it via email.

[1002] Input: Download URL

[1003] Output: Confirmed climbing plan, regenerated plan (optional)

[1004] (Application example 1)

[1005] 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."

[1006] Creating a mountain climbing plan has traditionally been a time-consuming task, particularly for beginners. Furthermore, properly preparing the necessary equipment for a mountain climb requires gathering a lot of information and making decisions based on that information. Therefore, there was a need for a system that could automatically generate a mountain climbing plan and easily purchase the necessary equipment during the process.

[1007] 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.

[1008] In this invention, the server includes a means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, a means for the server to receive this information and search a database for an appropriate climbing route, a means for the server to generate a necessary equipment list taking into account the season and characteristics of the route, and an electronic payment function for the user to purchase items on the generated equipment list within the application. This makes it possible for even beginners to easily create a detailed climbing itinerary and efficiently purchase the necessary equipment.

[1009] A "user" is a person who inputs information to create a mountain climbing itinerary.

[1010] The "server" is a computer system that automatically generates a mountain climbing itinerary based on information received from the user and provides a list of necessary equipment.

[1011] The "database" is a data management system that stores climbing route information, equipment information, and other necessary information.

[1012] The "mountain climbing route" refers to a path for climbing a mountain based on a mountain climbing destination selected by the user.

[1013] An "equipment list" is a list of all the equipment needed for mountain climbing.

[1014] A "mountain climbing plan" is a document that describes a detailed plan for a user to climb a mountain safely and efficiently.

[1015] The "electronic payment function" is a payment method that allows the user to purchase the necessary equipment listed in the equipment list within the application.

[1016] "Emergency contact information" includes information about people and organizations to contact in the event of an emergency while climbing.

[1017] "Weather forecast" is information about the predicted weather conditions during the mountain climbing route.

[1018] "PDF format" is a type of electronic document and a standard format for displaying and printing mountain climbing itineraries on electronic devices.

[1019] The present invention is a system that automatically generates mountain climbing itineraries and allows users to electronically pay for equipment. The system begins when a user inputs the itinerary, destination, number of participants, and each participant's mountain climbing experience and age. A specific embodiment of the present invention will be described below.

[1020] Hardware and software used

[1021] Hardware:

[1022] Smartphone (iOS / Android)

[1023] Computer (server)

[1024] Robots (such as delivery assistant robots)

[1025] software:

[1026] Smartphone app development frameworks: React Native, Flutter, etc.

[1027] Server-side frameworks: Node.js, Express

[1028] Database management system: MySQL or MongoDB

[1029] Electronic payment API: Stripe, PayPal, etc.

[1030] System Operation

[1031] 1. Receiving and Processing Information:

[1032] Using a smartphone app, users input information to create a mountain climbing plan (e.g., itinerary, destination, number of participants, each participant's climbing experience, and age). This information is sent from the device to the server.

[1033] 2. Automatic generation of mountain climbing itineraries:

[1034] The server then searches the database for suitable climbing routes based on the received information, and generates a list of necessary equipment, taking into account the season and the characteristics of the route. This process also takes into account past statistical data and weather information.

[1035] 3. Electronic payment function:

[1036] After generating the equipment list, the server provides an electronic payment function that allows users to purchase the necessary equipment within the app. This function is implemented using electronic payment APIs such as Stripe and PayPal.

[1037] 4. Providing a climbing plan:

[1038] The server generates the final climbing plan and provides it to the user in PDF format, which the user can download, save, or share.

[1039] Specific examples

[1040] For example, consider the case where a user makes a plan to climb Mt. Yatsugatake on October 15, 2023. There are four participants, and it is the first time for each of them to climb a mountain. After this information is entered, the process proceeds as follows:

[1041] 1. Route selection:

[1042] The server searches for hiking routes on Mt. Yatsugatake and selects an appropriate route (e.g., Akagi route).

[1043] 2. Generate equipment list:

[1044] Generate a list of equipment necessary for climbing Mt. Yatsugatake in autumn and provide recommended items to the user based on this list (e.g., hiking boots, rainwear, winter clothing, headlamp).

[1045] 3. Utilizing electronic payment functions:

[1046] Users can select and purchase the equipment they need within the app, following the equipment list. This process is carried out using the Stripe API.

[1047] 4. Providing a climbing plan:

[1048] The server generates the final climbing plan in PDF format and provides it to the user, who can then download it and print it out or share it via email.

[1049] Prompt Sentence Examples

[1050] An example of a prompt for a generative AI model is as follows:

[1051] Please automatically generate an optimal mountain climbing itinerary based on the mountain climbing information entered by the user (e.g., itinerary, destination, number of participants, each participant's climbing experience and age). Then, please make the items on the generated mountain climbing equipment list available for purchase within the app. Please use the Stripe API as an electronic payment function. Finally, please provide an option to download the mountain climbing itinerary in PDF format.

[1052] This system allows even beginners to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[1053] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1054] Step 1:

[1055] The user inputs the itinerary, destination, number of participants, and each participant's climbing experience and age into their smartphone. This input information is sent to the server through the application form. The input of this step is the user's climbing plan information, and the output is that this information is sent to the server.

[1056] Step 2:

[1057] The server processes the received information and searches the database for an appropriate climbing route. The server queries the database based on the destination and schedule to identify the optimal route. The input is the user's climbing plan information, and the output is data on an appropriate climbing route. Specifically, if the climbing destination is "Yatsugatake," the server selects an appropriate route (e.g., Akadake Route) from the multiple climbing routes on Yatsugatake.

[1058] Step 3:

[1059] The server generates a list of necessary equipment taking into account the characteristics of the season and the route. For example, an equipment list for climbing Mt. Yatsugatake in autumn would include hiking boots, rainwear, warm clothing, a headlamp, etc. This equipment list is generated by referencing seasonal equipment data in the database. The input is information about the hiking route and the season, and the output is an equipment list.

[1060] Step 4:

[1061] The server evaluates the appropriateness of the participants based on their climbing experience and age. The server then uses statistical data and past performance data to perform a risk assessment. For example, if everyone is a beginner climber, the risk level will be assessed as high. This assessment result is presented to the user. The input is participant information, and the output is the appropriateness assessment result.

[1062] Step 5:

[1063] The user checks the generated mountain climbing plan and uses the electronic payment function to purchase the necessary equipment. The user selects the necessary items from the equipment list and proceeds with the purchase procedure within the application. The server processes the payment using the Stripe API or similar. The input is the equipment list and the user's purchase selection, and the output is a payment completion notification.

[1064] Step 6:

[1065] The server generates the final climbing plan and provides it to the user in PDF format. The climbing plan includes detailed route maps, emergency contact information, weather forecasts, etc. The user can download, save, or share the plan. The input is the generated climbing plan data, and the output is a PDF file.

[1066] This series of processes enables users, even beginners, to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[1067] 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.

[1068] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines it with an emotion engine to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, and helps to create a safe and secure mountain climbing plan, providing feedback and advice according to the user's emotional state.

[1069] System Components

[1070] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[1071] 2. Server: The server receives the information sent by the user and generates a climbing route and a list of necessary equipment based on it. It also evaluates the suitability of each participant based on their data and presents the results to the user. It also uses an emotion engine to recognize the user's emotional state and use that information to adjust the service.

[1072] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[1073] 4. Emotion Engine: Recognizes the user's emotional state and provides that information to the server, which then adjusts the mountaineering plan and equipment recommendations based on that information.

[1074] Program processing overview

[1075] 1. Receiving and Processing Information

[1076] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1077] The terminal transmits the input information to the server.

[1078] 2. Search for hiking routes

[1079] The server searches the database for suitable climbing route information based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects the appropriate route from candidates such as the Yoshida Route and the Subashiri Route.

[1080] 3. Generating equipment list

[1081] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1082] 4. Evaluation of climbing suitability

[1083] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[1084] 5. Recognizing emotional states

[1085] An emotion engine recognizes the user's emotional state as they input information, and this information is used to adjust the hiking plan. For example, if the user is nervous, the server will suggest an easy route for beginners.

[1086] 6. Providing Feedback

[1087] The server uses the information obtained from the emotion engine to provide advice and relaxation suggestions to the user. For example, if the user is feeling stressed, it will recommend breathing techniques or simple exercises to help them relax.

[1088] 7. Creation and provision of mountain climbing itinerary

[1089] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[1090] The server generates a detailed hiking itinerary (in PDF format) and provides it to the device, which the user can download, submit in paper form, or share via email.

[1091] Specific examples

[1092] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[1093] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[1094] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[1095] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[1096] 4. The emotion engine recognizes the user's emotions when typing and detects nervousness. Based on this information, the server provides beginners with explanations and advice to help them feel at ease.

[1097] 5. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[1098] 6. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[1099] By adding an emotion engine, the system of the present invention can respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[1100] The processing flow will be explained below.

[1101] Step 1:

[1102] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1103] Step 2:

[1104] The emotion engine recognizes the user's emotional state from facial expressions and voice input, and this information is sent from the device to the server.

[1105] Step 3:

[1106] The terminal transmits the information and emotional state data input by the user to the server.

[1107] Step 4:

[1108] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination. For example, if the destination is Mount Fuji, it retrieves detailed information on the Yoshida Trail and the Subashiri Trail.

[1109] Step 5:

[1110] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[1111] Step 6:

[1112] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1113] Step 7:

[1114] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score. For example, if all participants are beginners, a risk assessment is performed and a score (e.g., 90 / 100) is calculated.

[1115] Step 8:

[1116] The server then adjusts the mountain climbing plan and equipment list based on the user's emotional state, which is obtained from the emotion engine. For example, if the user is nervous, it will provide an easy course for beginners and a reassuring message.

[1117] Step 9:

[1118] The server returns the validity evaluation results (scores) and the adjusted mountain climbing plan to the terminal and displays them to the user.

[1119] Step 10:

[1120] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[1121] Step 11:

[1122] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[1123] Step 12:

[1124] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[1125] Step 13:

[1126] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[1127] Step 14:

[1128] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[1129] Example 2

[1130] 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."

[1131] Conventional mountain climbing plan generation systems were unable to provide feedback based on the climber's emotional state, resulting in a lack of appropriate advice for beginners and nervous users. Furthermore, the evaluation of the validity of the climb was subjective, creating safety issues. Furthermore, there was a lack of a way to generate detailed mountain climbing plans or to easily share them.

[1132] 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.

[1133] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the server to receive this information and search a database for an appropriate mountain climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and ages, means for recognizing the user's emotional state using emotion recognition technology, means for providing feedback and advice based on the user's emotional state, means for the user to confirm and adjust the mountain climbing itinerary created, and means for the server to create and provide a final mountain climbing itinerary. This makes it possible to create a mountain climbing itinerary that is flexible and safe according to the user's emotional state.

[1134] "Means for users to input dates, destinations, number of participants, participant experience, and ages" refers to an interface through which users input dates, destinations, number of participants, participant experience, and ages, typically a software application with forms and input fields.

[1135] "Means for the server to receive this information and search for suitable climbing routes from the database" refers to the algorithms and processes by which the server receives the information sent by the user and, based on that information, searches for suitable climbing routes from the database.

[1136] "Means for the server to generate a list of necessary equipment taking into account the season and characteristics of the route" refers to a function for the server to generate a list of equipment necessary for climbing taking into account the selected climbing route and its season.

[1137] "Means by which the server assesses the appropriateness of a climbing plan based on the participant's climbing experience and age" refers to the algorithms and processes by which the server assesses the feasibility and risk of a climbing plan based on information about the participant's climbing experience and age.

[1138] "Means for recognizing a user's emotional state using emotion recognition technology" refers to a function that enables a server to use natural language processing technology or machine learning algorithms to recognize a user's emotional state from the text entered by the user or their reactions.

[1139] "Means for providing feedback and advice based on the user's emotional state" refers to a function that enables the server to provide appropriate feedback and advice based on the result of recognizing the user's emotional state.

[1140] "Means for the user to check and adjust the mountain climbing itinerary created" refers to an interface that allows the user to check the contents of the mountain climbing itinerary created by the server and adjust it as necessary.

[1141] "Means for the server to generate and provide the final mountain climbing plan" refers to the function by which the server creates the final mountain climbing plan based on the input information and calculation results and provides it to the user.

[1142] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines emotion recognition technology to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, assists in creating a safe and secure mountain climbing plan, and provides feedback and advice according to the user's emotional state.

[1143] System Components

[1144] 1. User's device

[1145] Users use their own devices, such as smartphones or PCs, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age. The device provides a form that runs on a browser such as Google Chrome, collects the input data using JavaScript, and sends it to the server via an HTTP request.

[1146] 2. Server

[1147] The server receives the information sent by the user via web server software such as Apache or Nginx. Based on the information received, the server performs the following actions:

[1148] Searching for climbing routes: A script written in Python or Java searches for suitable climbing routes from databases such as MySQL or PostgreSQL. For example, if Mount Fuji is selected as a destination, the script searches for possible routes such as the Yoshida Route and the Subashiri Route.

[1149] Generating an equipment list: A list of necessary equipment is generated taking into account the characteristics of the climbing season and the selected route. For example, climbing Mt. Fuji in the summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1150] Assessing the suitability of a climb: Using past statistical data, we evaluate the suitability of a climb based on the climbing experience and age of the participants. For example, we use Elasticsearch to search past data and calculate the risk level of a climb if there are many beginners.

[1151] Emotional State Recognition: Emotion recognition techniques are used to recognize the emotional state from the user's input text using deep learning frameworks such as TensorFlow and PyTorch. For example, detecting tension from the text entered by the user.

[1152] Providing feedback: Based on the results of emotion recognition, the server provides the user with advice and feedback for relaxation, such as suggesting breathing techniques or stretching exercises.

[1153] 3. Database

[1154] The database stores information on mountain climbing routes, equipment, and weather, allowing the server to quickly retrieve the necessary data and perform appropriate processing.

[1155] 4. Emotion recognition technology

[1156] Emotion recognition technology is used to analyze a user's emotional state from text input and other responses, making it possible to suggest an easy course of action if the user is nervous, or provide feedback to help them relax.

[1157] Specific examples

[1158] For example, suppose a user enters "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all of them to climb a mountain. When the user enters this information into a terminal and clicks the send button, the terminal sends the information to the server via an HTTP request. The server receives this information and processes it as follows:

[1159] 1. Search for climbing routes on Mount Fuji and select the Yoshida Route, which is suitable for beginners.

[1160] 2. Create a list of necessary equipment (hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[1161] 3. Evaluate the appropriateness of the climb based on the participant's experience and age and calculate a rating (e.g., 90 / 100).

[1162] 4. Emotion recognition technology recognizes the user's emotions when they input, and detects if they are nervous. Based on this information, the server provides advice on how to relax.

[1163] 5. Finally, the server generates a detailed hiking itinerary in PDF format, which users can download to their devices or share via email.

[1164] Example prompts for generative AI models

[1165] Here are some example prompts to give to a generative AI model (e.g., GPT-3):

[1166] "Please explain a system that generates a mountain climbing itinerary. In this system, the server automatically generates a mountain climbing itinerary based on information about the mountain climbing entered by the user, and the system can recognize the user's emotional state using emotion recognition technology. Please explain in detail each stage of the process: searching for a mountain climbing route, generating an equipment list, evaluating the appropriateness of the climb, recognizing the emotional state, providing feedback, and generating and providing the mountain climbing itinerary."

[1167] By adding emotion recognition technology, the system of the present invention is able to respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[1168] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1169] Program processing steps

[1170] Step 1:

[1171] The user inputs information about the mountain climbing plan using their own terminal. This information includes the date, destination, number of participants, and each participant's climbing experience and age. The user completes the input and clicks the send button.

[1172] Input: The user enters information such as the date, destination, number of participants, and each participant's climbing experience and age into the form.

[1173] Output: The device formats the input information as an HTTP request.

[1174] Step 2:

[1175] When the submit button is clicked, the terminal uses JavaScript to collect input data, generates an HTTP request (POST request), and sends it to the server.

[1176] Input: User input information (date, destination, number of participants, each participant's climbing experience and age).

[1177] Data processing: JavaScript collects the data and converts it into a format such as JSON.

[1178] Output: The formatted data that is sent to the server as an HTTP request.

[1179] Step 3:

[1180] The server receives HTTP requests via Apache or Nginx and uses scripts written in Python or Java to search a database for suitable climbing routes.

[1181] Input: User input information received by the server.

[1182] Data calculation: The server generates SQL queries and searches for climbing route information from databases such as MySQL or PostgreSQL.

[1183] Output: Appropriate climbing route information (e.g. Yoshida Route, Subashiri Route on Mt. Fuji, etc.).

[1184] Step 4:

[1185] The server generates the equipment list in Python and Java, taking into account the season of climbing and the characteristics of the selected route.

[1186] Input: Climbing route information and season information received by the server.

[1187] Data calculation: The server uses an algorithm to generate a list of necessary equipment (e.g. hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[1188] Output: Generated equipment list.

[1189] Step 5:

[1190] The server evaluates the suitability of participants based on their climbing experience and age, and calculates the safety and risk levels by referencing databases such as Elasticsearch.

[1191] Input: Climbing experience and age information of participants received by the server.

[1192] Data calculation: Calculate validity and risk level using past statistical data (e.g. safety level 90 / 100).

[1193] Output: Validation results.

[1194] Step 6:

[1195] Using emotion recognition technology, we recognize the user's emotional state using TensorFlow and PyTorch. We extract emotions from the user's input text and identify emotions such as tension or anxiety.

[1196] Input: The text entered by the user.

[1197] Data Computing: Analyzing emotional states using natural language processing techniques.

[1198] Output: Perceived emotional state.

[1199] Step 7:

[1200] The server provides appropriate feedback and advice to the user based on the emotion recognition results. For example, it suggests ways to relax to a tense user.

[1201] Input: Perceived emotional state.

[1202] Data processing: Generate advice and feedback to provide.

[1203] Output: The feedback provided to the user.

[1204] Step 8:

[1205] The server generates the final climbing plan and creates it in PDF format. It uses tools such as LaTeX and ReportLab to generate a detailed plan and provides a download link.

[1206] Input: All generated data (climbing route, equipment list, validity assessment, emotional feedback, etc.).

[1207] Data processing: Create a detailed mountain climbing plan using a PDF generation tool.

[1208] Output: Final climbing plan (PDF format).

[1209] Step 9:

[1210] The user downloads the final climbing plan using the download link provided by the server. If necessary, the plan can be shared on paper or via email.

[1211] Input: Download link from the server.

[1212] Output: The mountain climbing plan downloaded by the user.

[1213] (Application example 2)

[1214] 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."

[1215] When planning a mountain climb, users need a system that can centrally manage all the necessary information and help them create a safe and appropriate plan. However, current systems are unable to manage multiple elements, such as mountain climbing plans and meal plans, in an integrated manner, which can cause users to feel emotionally stressed. Furthermore, there is a lack of systems that provide appropriate feedback based on the user's emotional state based on the information entered by the user. This situation can potentially compromise a safe and comfortable mountain climbing experience.

[1216] The specific processing by the specific 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 the user to input the itinerary, destination, number of participants, and the participants' experience and age; means for the server to receive this information and search for an appropriate mountain climbing route from a database; means for the server to generate a necessary equipment list taking into account the season and characteristics of the route; means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and age; means for the user to input ingredient and recipe information; means for the server to receive the ingredient and recipe information and generate an optimal meal plan from a database; means for an emotion engine to recognize the user's emotional state; means for the server to provide the user with appropriate feedback and relaxation suggestions based on the user's emotional state; means for the user to confirm and adjust the mountain climbing itinerary and meal plan created by the user; and means for the server to generate and provide the final mountain climbing itinerary and meal plan. This allows the user to centrally manage information and create a safe and comfortable mountain climbing and meal plan.

[1217] A "user terminal" is an electronic device that allows a user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information.

[1218] A "server" is a central processing unit that receives information sent from a user terminal, searches and generates necessary information from a database, and provides it to the user.

[1219] The "database" is an information collection device that stores information on mountain climbing routes, equipment, weather information, and information necessary for meal planning.

[1220] A "mountain climbing plan" is a document that includes a detailed schedule of the climb, a route map, emergency contact information, weather forecast, and a list of necessary equipment.

[1221] A "meal plan" is a document that generates an optimal meal plan based on the ingredients and recipe information entered by the user.

[1222] An "emotion engine" is a system that recognizes the emotional state of a user when they input information and provides that information to a server.

[1223] "Feedback" is advice or relaxation suggestions provided based on the user's emotional state.

[1224] "Relaxation suggestions" are information such as breathing techniques or simple exercises to improve the user's emotional state.

[1225] "Appropriateness assessment" is the process by which the server assesses the suitability of a climb based on the participant's climbing experience and age.

[1226] An "equipment list" is a document that lists the items necessary for mountain climbing.

[1227] The "final plan" is a finalized version of the mountain climbing plan and meal plan that is generated by the server, reflecting the results of the user's confirmation and adjustment.

[1228] The system for implementing this invention includes a user terminal, a server, a database, and an emotion engine. The specific operation of each element and the hardware and software used will be described in detail below.

[1229] User terminal

[1230] The user terminal is a device such as a smartphone or PC, and provides a means for the user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information. A data input application runs on the user terminal, and the information entered through this application is sent to the server.

[1231] server

[1232] The server receives information sent from the user terminal and functions as a central processing unit. Specifically, the server consists of the following software:

[1233] Python: a programming language

[1234] TensorFlow: A machine learning library for building emotion engines

[1235] SQLite: Database Management

[1236] Flask: a framework for building servers

[1237] The server generates a hiking itinerary and a meal plan based on the received information. It also uses an emotion engine to recognize the user's emotional state and provides appropriate feedback and relaxation suggestions.

[1238] Database

[1239] The database stores information on mountain climbing routes, equipment, weather information, and meal planning. The server refers to this database when searching and generating the necessary information.

[1240] Emotion Engine

[1241] The emotion engine is composed of a machine learning model using TensorFlow. This allows it to accurately recognize the emotional state of the user when inputting information and provides that information to the server. Based on this emotional state, the server can provide appropriate feedback and relaxation suggestions to the user.

[1242] Specific examples of usage procedures

[1243] For example, if a user wants to plan a mountain climb and a meal plan at the same time, here is a specific example:

[1244] 1. The user opens the app on their smartphone and enters the dates, destination, number of participants, experience level, and age of participants to plan their mountain climbing.

[1245] 2. Next, enter ingredients and recipe information for your meal plan.

[1246] 3. This information is sent to a server, which generates an appropriate climbing route and meal plan from its database.

[1247] 4. The emotion engine recognizes the user's emotional state and suggests relaxation methods and simple recipes if the user is feeling stressed.

[1248] 5. Finally, the generated mountain climbing plan and meal plan (PDF format) are provided to the user's device, where the user can review and adjust them.

[1249] Prompt Sentence Examples

[1250] Examples of prompts include:

[1251] "I'd like to plan meals for the weekend. The ingredients are chicken, cabbage, carrots, and onions. Could you please give me some easy recipes? I'm also feeling stressed, so I'd appreciate some relaxation advice."

[1252] This system allows users to centrally manage information and plan safe and comfortable mountain climbing and meal plans.

[1253] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1254] Step 1:

[1255] The user opens the smartphone application and inputs the date, destination, number of participants, participants' experience and age, as well as ingredients and recipe information for mountain climbing planning. The input information is sent to the server via the application. The input here is the date, destination, number of participants, each participant's mountain climbing experience and age, as well as ingredients and recipe information. This input information is sent to the server as data.

[1256] Step 2:

[1257] The server receives the information sent by the user and analyzes each data item. The analyzed data items include the schedule, destination, number of participants, participants' climbing experience and age, as well as ingredients and recipe information. Based on the input data, the server processes the data necessary to generate a climbing plan and a meal plan.

[1258] Step 3:

[1259] The server searches the database for an appropriate climbing route. Based on the itinerary and destination, the optimal climbing route is retrieved from the database and referenced. The data calculation here is a search for the destination and itinerary entered by the user. The output is the selected climbing route information.

[1260] Step 4:

[1261] The server generates a required equipment list taking into account the season and the characteristics of the selected climbing route. This process determines the optimal equipment list based on the season and characteristics information. Data corresponding to the input season and route characteristics is extracted from the database, and the optimal equipment list is generated. The generated equipment list is output.

[1262] Step 5:

[1263] The server evaluates the appropriateness of the participants based on their climbing experience and age. The input data here is the participants' experience and age information. The server compares this with past statistical data and performance data and performs the evaluation. The evaluation result is the output.

[1264] Step 6:

[1265] A user inputs ingredients and recipe information into a smartphone application. The input ingredients and recipe information are sent to a server via the application. The input data is the ingredients and recipe information.

[1266] Step 7:

[1267] The server generates an optimal meal plan from the database. Based on the submitted ingredient and recipe information, the server extracts and generates an optimal meal plan from the database. Data calculation involves searching and optimizing the ingredient and recipe information submitted by the user. The generated meal plan is the output.

[1268] Step 8:

[1269] The emotion engine analyzes the input information and recognizes the user's emotional state. The input data is information about the user's input operations. The machine learning model (TensorFlow) is used to recognize the emotional state and provide that information to the server. The output is the user's emotional state data.

[1270] Step 9:

[1271] The server provides appropriate feedback and relaxation suggestions to the user based on their emotional state. The input data is the user's emotional state data provided by the emotion engine. The server generates appropriate feedback and relaxation suggestions and provides them to the user as output.

[1272] Step 10:

[1273] The server generates the final mountain climbing plan and meal plan and provides them to the user's terminal. The generated mountain climbing plan and meal plan are output in PDF format, which the user can check and adjust. The final plan is output.

[1274] Step 11:

[1275] The user submits and shares the generated mountain climbing plan and meal plan on paper or by email. The final plan is downloaded to the user's device and shared on paper or by email. Output is a method for sharing the final plan.

[1276] 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.

[1277] 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.

[1278] 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.

[1279] [Fourth embodiment]

[1280] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1281] 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.

[1282] 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).

[1283] 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.

[1284] 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.

[1285] 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).

[1286] 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. 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.

[1287] 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.

[1288] 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.

[1289] 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.

[1290] 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.

[1291] 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.

[1292] 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."

[1293] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[1294] System Components

[1295] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[1296] 2. Server: The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on it, and evaluates the suitability of the climbing based on the data of each participant and presents the results to the user.

[1297] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[1298] Program processing overview

[1299] 1. Receiving and Processing Information

[1300] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1301] The terminal transmits the input information to the server.

[1302] 2. Search for hiking routes

[1303] The server searches the database for an appropriate climbing route based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects an appropriate route from candidates such as the Yoshida Route or the Subashiri Route.

[1304] 3. Generating equipment list

[1305] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1306] 4. Evaluation of climbing suitability

[1307] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[1308] 5. Creation and provision of mountain climbing itinerary

[1309] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[1310] Finally, users can download the generated climbing plan in PDF format and submit it in paper form or share it via email.

[1311] Specific examples

[1312] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[1313] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[1314] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[1315] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[1316] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[1317] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[1318] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[1319] The processing flow will be explained below.

[1320] Step 1:

[1321] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1322] Step 2:

[1323] The terminal transmits the input information to the server.

[1324] Step 3:

[1325] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination.

[1326] Step 4:

[1327] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[1328] Step 5:

[1329] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1330] Step 6:

[1331] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score.

[1332] Step 7:

[1333] The server returns the validity evaluation result (score) to the terminal and displays it to the user.

[1334] Step 8:

[1335] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[1336] Step 9:

[1337] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[1338] Step 10:

[1339] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[1340] Step 11:

[1341] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[1342] Step 12:

[1343] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[1344] Example 1

[1345] 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."

[1346] In recent years, with the boom in mountain climbing, there is a demand for easy and safe mountain climbing plans, even for beginners. However, it is extremely difficult to manually collect the appropriate information for mountain climbing plans, list the necessary equipment, and assess risks according to climbing experience. Beginners, in particular, have difficulty determining which routes are safe and what equipment is required, which can result in inadequate planning. This can lead to concerns that a safe and secure mountain climb will not be ensured.

[1347] 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.

[1348] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the terminal to send the input information to the server, means for the server to receive this information and search a database for an appropriate climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' climbing experience and age, means for the server to generate a detailed climbing itinerary based on the climbing route, equipment list, and risk assessment results and provide a download URL, and means for the user to check and adjust the generated climbing itinerary. This makes it possible to automatically generate a safe and secure climbing itinerary that is easy to use even for beginners.

[1349] The term "user" refers to an individual or group that uses the present invention to create a mountain climbing plan.

[1350] A "terminal" is a device used by a user to input information, and specifically includes a smartphone or a personal computer.

[1351] A "server" is a computer system that receives information sent by a user and performs the necessary calculations and data processing.

[1352] A "database" is a collection of information that stores climbing route information, equipment information, experience evaluation data, and so on.

[1353] A "mountain climbing route" refers to a specific route a climber can choose to take to ascend or descend a mountain.

[1354] An "equipment list" refers to a list of equipment required when climbing a mountain.

[1355] "Appropriateness" refers to assessing the suitability and safety of a climb based on factors such as the participants' climbing experience and age.

[1356] A "mountain climbing plan" refers to a detailed written plan for mountain climbing that includes the climbing route, equipment list, risk assessment results, etc.

[1357] "Detailed route map" refers to map information that specifically shows the mountain climbing route.

[1358] "Emergency Contacts" refers to a list of contacts to be contacted in the event of an emergency.

[1359] "Weather forecast" refers to weather information for the planned schedule that can be used as a reference when making mountain climbing plans.

[1360] "Download URL" refers to a link that allows users to obtain digital files such as created mountain climbing plans via the Internet.

[1361] "Risk assessment" refers to a method of calculating the safety and appropriateness of a mountain climbing plan as a score or evaluation.

[1362] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by a user. This system is easy to use even for beginners and helps to create a safe and secure mountain climbing plan.

[1363] System Components

[1364] 1. User's device

[1365] Users use their own devices, such as smartphones or computers, to input information for creating a mountain climbing plan, including the date, destination, number of participants, and each participant's climbing experience and age.

[1366] 2. Server

[1367] The server receives the information sent by the user, generates a climbing route and a list of necessary equipment based on the information, and evaluates the suitability of the climbing based on the data of each participant, and presents the results to the user.

[1368] 3. Database

[1369] It stores information on hiking routes, equipment, and weather information.

[1370] Program processing overview

[1371] Receiving and processing information

[1372] The user inputs the date, destination, number of participants, and each participant's climbing experience and age into the terminal. After completing the input, the terminal sends this information to the server in JSON format.

[1373] Search for hiking routes

[1374] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select an appropriate route from the Yoshida Route, Subashiri Route, etc.

[1375] Generating equipment lists

[1376] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists items such as hiking boots, rainwear, warm clothing, a headlamp, and water from the equipment information in the database.

[1377] Assessment of climbing suitability

[1378] The server runs an algorithm to assess the suitability of the climb based on the participant's climbing experience and age data, and performs a risk assessment by referencing past statistical data and performance data stored in a database.

[1379] Creation and provision of mountain climbing itineraries

[1380] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, and weather forecast. The plan is created in PDF format and can be downloaded by the user from the corresponding download URL. The user can review the plan and modify or regenerate it as necessary.

[1381] Specific examples

[1382] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[1383] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[1384] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[1385] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[1386] 4. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[1387] 5. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[1388] Example of input prompt for generative AI model

[1389] "We plan to climb Mount Fuji on July 23, 2023. There are three participants, aged 25, 30, and 40, and it will be our first time climbing a mountain. Please provide us with the climbing route, a list of necessary equipment, and a risk assessment."

[1390] The system of the present invention allows even beginners to easily create appropriate mountain climbing plans, promoting a safe and secure mountain climbing experience.

[1391] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1392] Step 1:

[1393] The user launches a mountain climbing plan creation application on their smartphone or computer. The user then fills in the application's input form with the schedule, destination, number of participants, and each participant's climbing experience and age. After completing the input, the user clicks the "Submit" button to send the information.

[1394] Input: Date, destination, number of participants, climbing experience and age of each participant

[1395] Output: JSON format data sent from the terminal to the server

[1396] Step 2:

[1397] The device calls an API to send the entered information to the server. The data is sent to the server in JSON format, and a validation process is performed to ensure the data is accurate and in the correct format.

[1398] Input: Data entered by the user

[1399] Output: Validated JSON data sent to the server

[1400] Step 3:

[1401] The server parses the received JSON data and extracts the destination information. It then accesses a database based on the destination information to obtain a list of appropriate climbing routes. For example, if the destination is Mount Fuji, it will select from candidates such as the Yoshida Route or the Subashiri Route.

[1402] Input: JSON format data (including destination information)

[1403] Output: Selected climbing route information (e.g. Yoshida Route)

[1404] Step 4:

[1405] The server generates a list of necessary equipment based on the selected route and seasonal information. Specifically, it lists necessary equipment according to the season and route, such as hiking boots, rainwear, warm clothing, headlamps, and water, based on the equipment information in the database.

[1406] Input: Selected climbing route information, seasonal information

[1407] Output: Generated equipment list

[1408] Step 5:

[1409] The server runs an algorithm to evaluate the suitability of the climb based on the participant's climbing experience and age data. This algorithm references past statistical data and performance data stored in a database to perform a risk assessment. The results of this assessment are output as a score.

[1410] Input: Participant's climbing experience, age data

[1411] Output: Risk assessment score (e.g. 90 / 100)

[1412] Step 6:

[1413] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results. This plan includes a detailed route map, emergency contact information, weather forecast, etc. The plan is created in PDF format and a download URL is generated.

[1414] Input: Climbing route information, equipment list, risk assessment results

[1415] Output: Mountain climbing plan in PDF format, download URL

[1416] Step 7:

[1417] Users can download the PDF file from the provided link, review the plan, and, if necessary, revise and regenerate it. Users can then print the final climbing plan or share it via email.

[1418] Input: Download URL

[1419] Output: Confirmed climbing plan, regenerated plan (optional)

[1420] (Application example 1)

[1421] 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."

[1422] Creating a mountain climbing plan has traditionally been a time-consuming task, particularly for beginners. Furthermore, properly preparing the necessary equipment for a mountain climb requires gathering a lot of information and making decisions based on that information. Therefore, there was a need for a system that could automatically generate a mountain climbing plan and easily purchase the necessary equipment during the process.

[1423] 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.

[1424] In this invention, the server includes a means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, a means for the server to receive this information and search a database for an appropriate climbing route, a means for the server to generate a necessary equipment list taking into account the season and characteristics of the route, and an electronic payment function for the user to purchase items on the generated equipment list within the application. This makes it possible for even beginners to easily create a detailed climbing itinerary and efficiently purchase the necessary equipment.

[1425] A "user" is a person who inputs information to create a mountain climbing itinerary.

[1426] The "server" is a computer system that automatically generates a mountain climbing itinerary based on information received from the user and provides a list of necessary equipment.

[1427] The "database" is a data management system that stores climbing route information, equipment information, and other necessary information.

[1428] The "mountain climbing route" refers to a path for climbing a mountain based on a mountain climbing destination selected by the user.

[1429] An "equipment list" is a list of all the equipment needed for mountain climbing.

[1430] A "mountain climbing plan" is a document that describes a detailed plan for a user to climb a mountain safely and efficiently.

[1431] The "electronic payment function" is a payment method that allows the user to purchase the necessary equipment listed in the equipment list within the application.

[1432] "Emergency contact information" includes information about people and organizations to contact in the event of an emergency while climbing.

[1433] "Weather forecast" is information about the predicted weather conditions during the mountain climbing route.

[1434] "PDF format" is a type of electronic document and a standard format for displaying and printing mountain climbing itineraries on electronic devices.

[1435] The present invention is a system that automatically generates mountain climbing itineraries and allows users to electronically pay for equipment. The system begins when a user inputs the itinerary, destination, number of participants, and each participant's mountain climbing experience and age. A specific embodiment of the present invention will be described below.

[1436] Hardware and software used

[1437] Hardware:

[1438] Smartphone (iOS / Android)

[1439] Computer (server)

[1440] Robots (such as delivery assistant robots)

[1441] software:

[1442] Smartphone app development frameworks: React Native, Flutter, etc.

[1443] Server-side frameworks: Node.js, Express

[1444] Database management system: MySQL or MongoDB

[1445] Electronic payment API: Stripe, PayPal, etc.

[1446] System Operation

[1447] 1. Receiving and Processing Information:

[1448] Using a smartphone app, users input information to create a mountain climbing plan (e.g., itinerary, destination, number of participants, each participant's climbing experience, and age). This information is sent from the device to the server.

[1449] 2. Automatic generation of mountain climbing itineraries:

[1450] The server then searches the database for suitable climbing routes based on the received information, and generates a list of necessary equipment, taking into account the season and the characteristics of the route. This process also takes into account past statistical data and weather information.

[1451] 3. Electronic payment function:

[1452] After generating the equipment list, the server provides an electronic payment function that allows users to purchase the necessary equipment within the app. This function is implemented using electronic payment APIs such as Stripe and PayPal.

[1453] 4. Providing a climbing plan:

[1454] The server generates the final climbing plan and provides it to the user in PDF format, which the user can download, save, or share.

[1455] Specific examples

[1456] For example, consider the case where a user makes a plan to climb Mt. Yatsugatake on October 15, 2023. There are four participants, and it is the first time for each of them to climb a mountain. After this information is entered, the process proceeds as follows:

[1457] 1. Route selection:

[1458] The server searches for hiking routes on Mt. Yatsugatake and selects an appropriate route (e.g., Akagi route).

[1459] 2. Generate equipment list:

[1460] Generate a list of equipment necessary for climbing Mt. Yatsugatake in autumn and provide recommended items to the user based on this list (e.g., hiking boots, rainwear, winter clothing, headlamp).

[1461] 3. Utilizing electronic payment functions:

[1462] Users can select and purchase the equipment they need within the app, following the equipment list. This process is carried out using the Stripe API.

[1463] 4. Providing a climbing plan:

[1464] The server generates the final climbing plan in PDF format and provides it to the user, who can then download it and print it out or share it via email.

[1465] Prompt Sentence Examples

[1466] An example of a prompt for a generative AI model is as follows:

[1467] Please automatically generate an optimal mountain climbing itinerary based on the mountain climbing information entered by the user (e.g., itinerary, destination, number of participants, each participant's climbing experience and age). Then, please make the items on the generated mountain climbing equipment list available for purchase within the app. Please use the Stripe API as an electronic payment function. Finally, please provide an option to download the mountain climbing itinerary in PDF format.

[1468] This system allows even beginners to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[1469] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1470] Step 1:

[1471] The user inputs the itinerary, destination, number of participants, and each participant's climbing experience and age into their smartphone. This input information is sent to the server through the application form. The input of this step is the user's climbing plan information, and the output is that this information is sent to the server.

[1472] Step 2:

[1473] The server processes the received information and searches the database for an appropriate climbing route. The server queries the database based on the destination and schedule to identify the optimal route. The input is the user's climbing plan information, and the output is data on an appropriate climbing route. Specifically, if the climbing destination is "Yatsugatake," the server selects an appropriate route (e.g., Akadake Route) from the multiple climbing routes on Yatsugatake.

[1474] Step 3:

[1475] The server generates a list of necessary equipment taking into account the characteristics of the season and the route. For example, an equipment list for climbing Mt. Yatsugatake in autumn would include hiking boots, rainwear, warm clothing, a headlamp, etc. This equipment list is generated by referencing seasonal equipment data in the database. The input is information about the hiking route and the season, and the output is an equipment list.

[1476] Step 4:

[1477] The server evaluates the appropriateness of the participants based on their climbing experience and age. The server then uses statistical data and past performance data to perform a risk assessment. For example, if everyone is a beginner climber, the risk level will be assessed as high. This assessment result is presented to the user. The input is participant information, and the output is the appropriateness assessment result.

[1478] Step 5:

[1479] The user checks the generated mountain climbing plan and uses the electronic payment function to purchase the necessary equipment. The user selects the necessary items from the equipment list and proceeds with the purchase procedure within the application. The server processes the payment using the Stripe API or similar. The input is the equipment list and the user's purchase selection, and the output is a payment completion notification.

[1480] Step 6:

[1481] The server generates the final climbing plan and provides it to the user in PDF format. The climbing plan includes detailed route maps, emergency contact information, weather forecasts, etc. The user can download, save, or share the plan. The input is the generated climbing plan data, and the output is a PDF file.

[1482] This series of processes enables users, even beginners, to easily create detailed mountain climbing plans and efficiently purchase the necessary equipment.

[1483] 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.

[1484] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines it with an emotion engine to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, and helps to create a safe and secure mountain climbing plan, providing feedback and advice according to the user's emotional state.

[1485] System Components

[1486] 1. User's device: The user uses their own device, such as a smartphone or PC, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age.

[1487] 2. Server: The server receives the information sent by the user and generates a climbing route and a list of necessary equipment based on it. It also evaluates the suitability of each participant based on their data and presents the results to the user. It also uses an emotion engine to recognize the user's emotional state and use that information to adjust the service.

[1488] 3. Database: Contains information on mountain climbing routes, equipment, and weather information.

[1489] 4. Emotion Engine: Recognizes the user's emotional state and provides that information to the server, which then adjusts the mountaineering plan and equipment recommendations based on that information.

[1490] Program processing overview

[1491] 1. Receiving and Processing Information

[1492] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1493] The terminal transmits the input information to the server.

[1494] 2. Search for hiking routes

[1495] The server searches the database for suitable climbing route information based on the destination sent by the user. For example, if Mount Fuji is selected as the climbing destination, the server selects the appropriate route from candidates such as the Yoshida Route and the Subashiri Route.

[1496] 3. Generating equipment list

[1497] The server generates a list of necessary equipment taking into account the season of climbing and the characteristics of the selected route. For example, climbing Mt. Fuji in summer may include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1498] 4. Evaluation of climbing suitability

[1499] The server evaluates the suitability of the climb based on the participants' climbing experience and age. This utilizes past statistical and performance data stored in a database. For example, if there are many beginners, the suitability rating may be lowered.

[1500] 5. Recognizing emotional states

[1501] An emotion engine recognizes the user's emotional state as they input information, and this information is used to adjust the hiking plan. For example, if the user is nervous, the server will suggest an easy route for beginners.

[1502] 6. Providing Feedback

[1503] The server uses the information obtained from the emotion engine to provide advice and relaxation suggestions to the user. For example, if the user is feeling stressed, it will recommend breathing techniques or simple exercises to help them relax.

[1504] 7. Creation and provision of mountain climbing itinerary

[1505] The server generates a final climbing plan, which includes detailed route maps, emergency contact information, weather forecasts, etc. The user can review the plan and make changes to equipment or the route as needed.

[1506] The server generates a detailed hiking itinerary (in PDF format) and provides it to the device, which the user can download, submit in paper form, or share via email.

[1507] Specific examples

[1508] For example, suppose a user inputs "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all three to climb a mountain. When this information is sent to the server via the device, the server processes it as follows:

[1509] 1. The server searches for climbing routes on Mount Fuji and selects the Yoshida route, which is suitable for beginners.

[1510] 2. Generate a list of equipment needed for climbing Mount Fuji in summer, and list recommended items such as hiking boots, rainwear, warm clothing, a headlamp, and water.

[1511] 3. The server evaluates the appropriateness of the climb based on the participants' experience and age, and since all participants are beginners, evaluates the risk of the climb and gives it a score (for example, 90 / 100).

[1512] 4. The emotion engine recognizes the user's emotions when typing and detects nervousness. Based on this information, the server provides beginners with explanations and advice to help them feel at ease.

[1513] 5. The user reviews this information, adds the necessary equipment to the shopping list, and modifies the plan based on the evaluation results from the server.

[1514] 6. Finally, the server generates a detailed climbing plan and makes it available in PDF format for users to download and share.

[1515] By adding an emotion engine, the system of the present invention can respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[1516] The processing flow will be explained below.

[1517] Step 1:

[1518] The user inputs the schedule, destination, number of participants, and each participant's climbing experience and age into the terminal.

[1519] Step 2:

[1520] The emotion engine recognizes the user's emotional state from facial expressions and voice input, and this information is sent from the device to the server.

[1521] Step 3:

[1522] The terminal transmits the information and emotional state data input by the user to the server.

[1523] Step 4:

[1524] The server analyzes the received information and searches the database for appropriate climbing route information based on the destination. For example, if the destination is Mount Fuji, it retrieves detailed information on the Yoshida Trail and the Subashiri Trail.

[1525] Step 5:

[1526] The server obtains detailed information about the selected route (distance, elevation difference, cumulative elevation, difficulty of the route, etc.).

[1527] Step 6:

[1528] The server generates a list of necessary equipment taking into account the season and the characteristics of the selected route. For example, climbing Mt. Fuji in summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1529] Step 7:

[1530] The server applies an algorithm to assess the appropriateness of each participant based on their climbing experience and age, and calculates a score. For example, if all participants are beginners, a risk assessment is performed and a score (e.g., 90 / 100) is calculated.

[1531] Step 8:

[1532] The server then adjusts the mountain climbing plan and equipment list based on the user's emotional state, which is obtained from the emotion engine. For example, if the user is nervous, it will provide an easy course for beginners and a reassuring message.

[1533] Step 9:

[1534] The server returns the validity evaluation results (scores) and the adjusted mountain climbing plan to the terminal and displays them to the user.

[1535] Step 10:

[1536] The user checks the contents of the climbing plan on the device, which includes a route map, an equipment list, and a validity score.

[1537] Step 11:

[1538] Users can change equipment and routes as needed, and enter and modify additional information (such as emergency contacts and health information).

[1539] Step 12:

[1540] The server receives the user's corrections and additions and generates the final mountain climbing plan.

[1541] Step 13:

[1542] The server generates a detailed climbing plan (in PDF format) and provides it to the device, including a detailed route map, emergency contact information, and weather forecast.

[1543] Step 14:

[1544] The user downloads the final climbing plan from the device and submits and shares it in paper form or by email.

[1545] Example 2

[1546] 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."

[1547] Conventional mountain climbing plan generation systems were unable to provide feedback based on the climber's emotional state, resulting in a lack of appropriate advice for beginners and nervous users. Furthermore, the evaluation of the validity of the climb was subjective, creating safety issues. Furthermore, there was a lack of a way to generate detailed mountain climbing plans or to easily share them.

[1548] 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.

[1549] In this invention, the server includes means for the user to input the itinerary, destination, number of participants, and the participants' experience and ages, means for the server to receive this information and search a database for an appropriate mountain climbing route, means for the server to generate a required equipment list taking into account the season and characteristics of the route, means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and ages, means for recognizing the user's emotional state using emotion recognition technology, means for providing feedback and advice based on the user's emotional state, means for the user to confirm and adjust the mountain climbing itinerary created, and means for the server to create and provide a final mountain climbing itinerary. This makes it possible to create a mountain climbing itinerary that is flexible and safe according to the user's emotional state.

[1550] "Means for users to input dates, destinations, number of participants, participant experience, and ages" refers to an interface through which users input dates, destinations, number of participants, participant experience, and ages, typically a software application with forms and input fields.

[1551] "Means for the server to receive this information and search for suitable climbing routes from the database" refers to the algorithms and processes by which the server receives the information sent by the user and, based on that information, searches for suitable climbing routes from the database.

[1552] "Means for the server to generate a list of necessary equipment taking into account the season and characteristics of the route" refers to a function for the server to generate a list of equipment necessary for climbing taking into account the selected climbing route and its season.

[1553] "Means by which the server assesses the appropriateness of a climbing plan based on the participant's climbing experience and age" refers to the algorithms and processes by which the server assesses the feasibility and risk of a climbing plan based on information about the participant's climbing experience and age.

[1554] "Means for recognizing a user's emotional state using emotion recognition technology" refers to a function that enables a server to use natural language processing technology or machine learning algorithms to recognize a user's emotional state from the text entered by the user or their reactions.

[1555] "Means for providing feedback and advice based on the user's emotional state" refers to a function that enables the server to provide appropriate feedback and advice based on the result of recognizing the user's emotional state.

[1556] "Means for the user to check and adjust the mountain climbing itinerary created" refers to an interface that allows the user to check the contents of the mountain climbing itinerary created by the server and adjust it as necessary.

[1557] "Means for the server to generate and provide the final mountain climbing plan" refers to the function by which the server creates the final mountain climbing plan based on the input information and calculation results and provides it to the user.

[1558] This invention is a system in which a server automatically generates a mountain climbing itinerary based on mountain climbing information entered by the user, and further combines emotion recognition technology to recognize the user's emotional state and utilize that information. This system is easy to use even for beginners, assists in creating a safe and secure mountain climbing plan, and provides feedback and advice according to the user's emotional state.

[1559] System Components

[1560] 1. User's device

[1561] Users use their own devices, such as smartphones or PCs, to input information for creating a mountain climbing plan. The information to be input includes the date, destination, number of participants, and each participant's climbing experience and age. The device provides a form that runs on a browser such as Google Chrome, collects the input data using JavaScript, and sends it to the server via an HTTP request.

[1562] 2. Server

[1563] The server receives the information sent by the user via web server software such as Apache or Nginx. Based on the information received, the server performs the following actions:

[1564] Searching for climbing routes: A script written in Python or Java searches for suitable climbing routes from databases such as MySQL or PostgreSQL. For example, if Mount Fuji is selected as a destination, the script searches for possible routes such as the Yoshida Route and the Subashiri Route.

[1565] Generating an equipment list: A list of necessary equipment is generated taking into account the characteristics of the climbing season and the selected route. For example, climbing Mt. Fuji in the summer would include hiking boots, rainwear, warm clothing, a headlamp, water, etc.

[1566] Assessing the suitability of a climb: Using past statistical data, we evaluate the suitability of a climb based on the climbing experience and age of the participants. For example, we use Elasticsearch to search past data and calculate the risk level of a climb if there are many beginners.

[1567] Emotional State Recognition: Emotion recognition techniques are used to recognize the emotional state from the user's input text using deep learning frameworks such as TensorFlow and PyTorch. For example, detecting tension from the text entered by the user.

[1568] Providing feedback: Based on the results of emotion recognition, the server provides the user with advice and feedback for relaxation, such as suggesting breathing techniques or stretching exercises.

[1569] 3. Database

[1570] The database stores information on mountain climbing routes, equipment, and weather, allowing the server to quickly retrieve the necessary data and perform appropriate processing.

[1571] 4. Emotion recognition technology

[1572] Emotion recognition technology is used to analyze a user's emotional state from text input and other responses, making it possible to suggest an easy course of action if the user is nervous, or provide feedback to help them relax.

[1573] Specific examples

[1574] For example, suppose a user enters "Plan to climb Mount Fuji on July 23, 2023." There are three participants, aged 25, 30, and 40, and it is the first time for all of them to climb a mountain. When the user enters this information into a terminal and clicks the send button, the terminal sends the information to the server via an HTTP request. The server receives this information and processes it as follows:

[1575] 1. Search for climbing routes on Mount Fuji and select the Yoshida Route, which is suitable for beginners.

[1576] 2. Create a list of necessary equipment (hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[1577] 3. Evaluate the appropriateness of the climb based on the participant's experience and age and calculate a rating (e.g., 90 / 100).

[1578] 4. Emotion recognition technology recognizes the user's emotions when they input, and detects if they are nervous. Based on this information, the server provides advice on how to relax.

[1579] 5. Finally, the server generates a detailed hiking itinerary in PDF format, which users can download to their devices or share via email.

[1580] Example prompts for generative AI models

[1581] Here are some example prompts to give to a generative AI model (e.g., GPT-3):

[1582] "Please explain a system that generates a mountain climbing itinerary. In this system, the server automatically generates a mountain climbing itinerary based on information about the mountain climbing entered by the user, and the system can recognize the user's emotional state using emotion recognition technology. Please explain in detail each stage of the process: searching for a mountain climbing route, generating an equipment list, evaluating the appropriateness of the climb, recognizing the emotional state, providing feedback, and generating and providing the mountain climbing itinerary."

[1583] By adding emotion recognition technology, the system of the present invention is able to respond flexibly to the user's emotional state, providing a safer and more secure mountain climbing experience.

[1584] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1585] Program processing steps

[1586] Step 1:

[1587] The user inputs information about the mountain climbing plan using their own terminal. This information includes the date, destination, number of participants, and each participant's climbing experience and age. The user completes the input and clicks the send button.

[1588] Input: The user enters information such as the date, destination, number of participants, and each participant's climbing experience and age into the form.

[1589] Output: The device formats the input information as an HTTP request.

[1590] Step 2:

[1591] When the submit button is clicked, the terminal uses JavaScript to collect input data, generates an HTTP request (POST request), and sends it to the server.

[1592] Input: User input information (date, destination, number of participants, each participant's climbing experience and age).

[1593] Data processing: JavaScript collects the data and converts it into a format such as JSON.

[1594] Output: The formatted data that is sent to the server as an HTTP request.

[1595] Step 3:

[1596] The server receives HTTP requests via Apache or Nginx and uses scripts written in Python or Java to search a database for suitable climbing routes.

[1597] Input: User input information received by the server.

[1598] Data calculation: The server generates SQL queries and searches for climbing route information from databases such as MySQL or PostgreSQL.

[1599] Output: Appropriate climbing route information (e.g. Yoshida Route, Subashiri Route on Mt. Fuji, etc.).

[1600] Step 4:

[1601] The server generates the equipment list in Python and Java, taking into account the season of climbing and the characteristics of the selected route.

[1602] Input: Climbing route information and season information received by the server.

[1603] Data calculation: The server uses an algorithm to generate a list of necessary equipment (e.g. hiking boots, rainwear, warm clothes, headlamp, water, etc.).

[1604] Output: Generated equipment list.

[1605] Step 5:

[1606] The server evaluates the suitability of participants based on their climbing experience and age, and calculates the safety and risk levels by referencing databases such as Elasticsearch.

[1607] Input: Climbing experience and age information of participants received by the server.

[1608] Data calculation: Calculate validity and risk level using past statistical data (e.g. safety level 90 / 100).

[1609] Output: Validation results.

[1610] Step 6:

[1611] Using emotion recognition technology, we recognize the user's emotional state using TensorFlow and PyTorch. We extract emotions from the user's input text and identify emotions such as tension or anxiety.

[1612] Input: The text entered by the user.

[1613] Data Computing: Analyzing emotional states using natural language processing techniques.

[1614] Output: Perceived emotional state.

[1615] Step 7:

[1616] The server provides appropriate feedback and advice to the user based on the emotion recognition results. For example, it suggests ways to relax to a tense user.

[1617] Input: Perceived emotional state.

[1618] Data processing: Generate advice and feedback to provide.

[1619] Output: The feedback provided to the user.

[1620] Step 8:

[1621] The server generates the final climbing plan and creates it in PDF format. It uses tools such as LaTeX and ReportLab to generate a detailed plan and provides a download link.

[1622] Input: All generated data (climbing route, equipment list, validity assessment, emotional feedback, etc.).

[1623] Data processing: Create a detailed mountain climbing plan using a PDF generation tool.

[1624] Output: Final climbing plan (PDF format).

[1625] Step 9:

[1626] The user downloads the final climbing plan using the download link provided by the server. If necessary, the plan can be shared on paper or via email.

[1627] Input: Download link from the server.

[1628] Output: The mountain climbing plan downloaded by the user.

[1629] (Application example 2)

[1630] 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."

[1631] When planning a mountain climb, users need a system that can centrally manage all the necessary information and help them create a safe and appropriate plan. However, current systems are unable to manage multiple elements, such as mountain climbing plans and meal plans, in an integrated manner, which can cause users to feel emotionally stressed. Furthermore, there is a lack of systems that provide appropriate feedback based on the user's emotional state based on the information entered by the user. This situation can potentially compromise a safe and comfortable mountain climbing experience.

[1632] The specific processing by the specific 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 the user to input the itinerary, destination, number of participants, and the participants' experience and age; means for the server to receive this information and search for an appropriate mountain climbing route from a database; means for the server to generate a necessary equipment list taking into account the season and characteristics of the route; means for the server to evaluate the appropriateness based on the participants' mountain climbing experience and age; means for the user to input ingredient and recipe information; means for the server to receive the ingredient and recipe information and generate an optimal meal plan from a database; means for an emotion engine to recognize the user's emotional state; means for the server to provide the user with appropriate feedback and relaxation suggestions based on the user's emotional state; means for the user to confirm and adjust the mountain climbing itinerary and meal plan created by the user; and means for the server to generate and provide the final mountain climbing itinerary and meal plan. This allows the user to centrally manage information and create a safe and comfortable mountain climbing and meal plan.

[1633] A "user terminal" is an electronic device that allows a user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information.

[1634] A "server" is a central processing unit that receives information sent from a user terminal, searches and generates necessary information from a database, and provides it to the user.

[1635] The "database" is an information collection device that stores information on mountain climbing routes, equipment, weather information, and information necessary for meal planning.

[1636] A "mountain climbing plan" is a document that includes a detailed schedule of the climb, a route map, emergency contact information, weather forecast, and a list of necessary equipment.

[1637] A "meal plan" is a document that generates an optimal meal plan based on the ingredients and recipe information entered by the user.

[1638] An "emotion engine" is a system that recognizes the emotional state of a user when they input information and provides that information to a server.

[1639] "Feedback" is advice or relaxation suggestions provided based on the user's emotional state.

[1640] "Relaxation suggestions" are information such as breathing techniques or simple exercises to improve the user's emotional state.

[1641] "Appropriateness assessment" is the process by which the server assesses the suitability of a climb based on the participant's climbing experience and age.

[1642] An "equipment list" is a document that lists the items necessary for mountain climbing.

[1643] The "final plan" is a finalized version of the mountain climbing plan and meal plan that is generated by the server, reflecting the results of the user's confirmation and adjustment.

[1644] The system for implementing this invention includes a user terminal, a server, a database, and an emotion engine. The specific operation of each element and the hardware and software used will be described in detail below.

[1645] User terminal

[1646] The user terminal is a device such as a smartphone or PC, and provides a means for the user to input information such as the schedule, destination, number of participants, participants' experience and age, as well as ingredients and recipe information. A data input application runs on the user terminal, and the information entered through this application is sent to the server.

[1647] server

[1648] The server receives information sent from the user terminal and functions as a central processing unit. Specifically, the server consists of the following software:

[1649] Python: a programming language

[1650] TensorFlow: A machine learning library for building emotion engines

[1651] SQLite: Database Management

[1652] Flask: a framework for building servers

[1653] The server generates a hiking itinerary and a meal plan based on the received information. It also uses an emotion engine to recognize the user's emotional state and provides appropriate feedback and relaxation suggestions.

[1654] Database

[1655] The database stores information on mountain climbing routes, equipment, weather information, and meal planning. The server refers to this database when searching and generating the necessary information.

[1656] Emotion Engine

[1657] The emotion engine is composed of a machine learning model using TensorFlow. This allows it to accurately recognize the emotional state of the user when inputting information and provides that information to the server. Based on this emotional state, the server can provide appropriate feedback and relaxation suggestions to the user.

[1658] Specific examples of usage procedures

[1659] For example, if a user wants to plan a mountain climb and a meal plan at the same time, here is a specific example:

[1660] 1. The user opens the app on their smartphone and enters the dates, destination, number of participants, experience level, and age of participants to plan their mountain climbing.

[1661] 2. Next, enter ingredients and recipe information for your meal plan.

[1662] 3. This information is sent to a server, which generates an appropriate climbing route and meal plan from its database.

[1663] 4. The emotion engine recognizes the user's emotional state and suggests relaxation methods and simple recipes if the user is feeling stressed.

[1664] 5. Finally, the generated mountain climbing plan and meal plan (PDF format) are provided to the user's device, where the user can review and adjust them.

[1665] Prompt Sentence Examples

[1666] Examples of prompts include:

[1667] "I'd like to plan meals for the weekend. The ingredients are chicken, cabbage, carrots, and onions. Could you please give me some easy recipes? I'm also feeling stressed, so I'd appreciate some relaxation advice."

[1668] This system allows users to centrally manage information and plan safe and comfortable mountain climbing and meal plans.

[1669] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1670] Step 1:

[1671] The user opens the smartphone application and inputs the date, destination, number of participants, participants' experience and age, as well as ingredients and recipe information for mountain climbing planning. The input information is sent to the server via the application. The input here is the date, destination, number of participants, each participant's mountain climbing experience and age, as well as ingredients and recipe information. This input information is sent to the server as data.

[1672] Step 2:

[1673] The server receives the information sent by the user and analyzes each data item. The analyzed data items include the schedule, destination, number of participants, participants' climbing experience and age, as well as ingredients and recipe information. Based on the input data, the server processes the data necessary to generate a climbing plan and a meal plan.

[1674] Step 3:

[1675] The server searches the database for an appropriate climbing route. Based on the itinerary and destination, the optimal climbing route is retrieved from the database and referenced. The data calculation here is a search for the destination and itinerary entered by the user. The output is the selected climbing route information.

[1676] Step 4:

[1677] The server generates a required equipment list taking into account the season and the characteristics of the selected climbing route. This process determines the optimal equipment list based on the season and characteristics information. Data corresponding to the input season and route characteristics is extracted from the database, and the optimal equipment list is generated. The generated equipment list is output.

[1678] Step 5:

[1679] The server evaluates the appropriateness of the participants based on their climbing experience and age. The input data here is the participants' experience and age information. The server compares this with past statistical data and performance data and performs the evaluation. The evaluation result is the output.

[1680] Step 6:

[1681] A user inputs ingredients and recipe information into a smartphone application. The input ingredients and recipe information are sent to a server via the application. The input data is the ingredients and recipe information.

[1682] Step 7:

[1683] The server generates an optimal meal plan from the database. Based on the submitted ingredient and recipe information, the server extracts and generates an optimal meal plan from the database. Data calculation involves searching and optimizing the ingredient and recipe information submitted by the user. The generated meal plan is the output.

[1684] Step 8:

[1685] The emotion engine analyzes the input information and recognizes the user's emotional state. The input data is information about the user's input operations. The machine learning model (TensorFlow) is used to recognize the emotional state and provide that information to the server. The output is the user's emotional state data.

[1686] Step 9:

[1687] The server provides appropriate feedback and relaxation suggestions to the user based on their emotional state. The input data is the user's emotional state data provided by the emotion engine. The server generates appropriate feedback and relaxation suggestions and provides them to the user as output.

[1688] Step 10:

[1689] The server generates the final mountain climbing plan and meal plan and provides them to the user's terminal. The generated mountain climbing plan and meal plan are output in PDF format, which the user can check and adjust. The final plan is output.

[1690] Step 11:

[1691] The user submits and shares the generated mountain climbing plan and meal plan on paper or by email. The final plan is downloaded to the user's device and shared on paper or by email. Output is a method for sharing the final plan.

[1692] 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.

[1693] 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.

[1694] 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.

[1695] 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.

[1696] 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.

[1697] 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.

[1698] 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).

[1699] 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.

[1700] 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."

[1701] 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.

[1702] 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).

[1703] 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.

[1704] 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.

[1705] 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.

[1706] 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.

[1707] 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.

[1708] 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.

[1709] 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.

[1710] 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.

[1711] 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.

[1712] 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.

[1713] The following is further disclosed regarding the above embodiment.

[1714] (Claim 1)

[1715] A means for the user to input the date, destination, number of participants, experience and age of the participants;

[1716] A server receives this information and searches the database for suitable climbing routes.

[1717] A means for the server to generate a required equipment list taking into account the season and route characteristics;

[1718] A means for the server to evaluate the appropriateness of participants based on their climbing experience and age;

[1719] A means for the user to review and adjust the generated mountain climbing itinerary;

[1720] The system includes a means for a server to generate and provide a final mountain climbing plan.

[1721] (Claim 2)

[1722] 2. The system according to claim 1, wherein the mountain climbing itinerary generated by the server includes a detailed route map, emergency contact information, and a weather forecast.

[1723] (Claim 3)

[1724] The system according to claim 1, further comprising a means for a user to submit and share the generated mountain climbing itinerary on paper or by email.

[1725] "Example 1"

[1726] (Claim 1)

[1727] A means for the user to input the date, destination, number of participants, experience and age of the participants;

[1728] A means for transmitting input information from the terminal to a server;

[1729] A server receives this information and searches the database for suitable climbing routes.

[1730] A means for the server to generate a required equipment list taking into account the season and route characteristics;

[1731] A means for the server to evaluate the appropriateness of participants based on their climbing experience and age;

[1732] The server generates a detailed climbing plan based on the climbing route, equipment list, and risk assessment results, and provides a download URL.

[1733] The system includes a means for the user to review and adjust the generated climbing plan.

[1734] (Claim 2)

[1735] 2. The system according to claim 1, wherein the mountain climbing itinerary generated by the server includes a detailed route map, emergency contact information, and a weather forecast.

[1736] (Claim 3)

[1737] The system according to claim 1, further comprising a means for a user to submit and share the generated mountain climbing itinerary on paper or by email.

[1738] "Application Example 1"

[1739] (Claim 1)

[1740] A means for the user to input the date, destination, number of participants, experience and age of the participants;

[1741] A server receives this information and searches the database for suitable climbing routes.

[1742] A means for the server to generate a required equipment list taking into account the season and route characteristics;

[1743] A means for the server to evaluate the appropriateness of participants based on their climbing experience and age;

[1744] A means for the user to review and adjust the generated mountain climbing itinerary;

[1745] A means for the server to generate and provide a final mountain climbing plan;

[1746] A system including electronic payment functionality for users to purchase items from the generated equipment list within the application.

[1747] (Claim 2)

[1748] 2. The system according to claim 1, wherein the mountain climbing itinerary generated by the server includes a detailed route map, emergency contact information, and a weather forecast.

[1749] (Claim 3)

[1750] The system according to claim 1, further comprising a means for a user to submit and share the generated mountain climbing itinerary on paper or by email.

[1751] "Example 2: Combining Emotion Engines"

[1752] (Claim 1)

[1753] A means for the user to input the date, destination, number of participants, experience and age of the participants;

[1754] A server receives this information and searches the database for suitable climbing routes.

[1755] A means for the server to generate a required equipment list taking into account the season and route characteristics;

[1756] A means for the server to evaluate the appropriateness of participants based on their climbing experience and age;

[1757] means for recognizing an emotional state of a user using emotion recognition technology;

[1758] means for providing feedback and advice based on the user's emotional state;

[1759] A means for the user to review and adjust the generated mountain climbing itinerary;

[1760] The system includes a means for a server to generate and provide a final mountain climbing plan.

[1761] (Claim 2)

[1762] The system of claim 1 generates a mountain climbing itinerary that includes a detailed route map, emergency contact information, and a weather forecast.

[1763] (Claim 3)

[1764] The system according to claim 1, further comprising a means for a user to submit and share the generated mountain climbing itinerary on paper or by email.

[1765] "Application example 2 when combining emotion engines"

[1766] (Claim 1)

[1767] A means for the user to input the date, destination, number of participants, experience and age of the participants;

[1768] A server receives this information and searches the database for suitable climbing routes.

[1769] A means for the server to generate a required equipment list taking into account the season and route characteristics;

[1770] A means for the server to evaluate the appropriateness of participants based on their climbing experience and age;

[1771] A means for a user to input ingredients and recipe information;

[1772] A server receives ingredient and recipe information and generates an optimal meal plan from the database;

[1773] a means for the emotion engine to recognize the user's emotional state;

[1774] A means for the server to provide appropriate feedback and relaxation suggestions to the user based on the user's emotional state;

[1775] A means for the user to check and adjust the generated mountain climbing plan and meal plan;

[1776] The system includes a means for a server to generate and provide a final mountain climbing plan and meal plan.

[1777] (Claim 2)

[1778] 2. The system according to claim 1, wherein the mountain climbing plan and meal plan generated by the server include a detailed route map, emergency contact information, and weather forecast.

[1779] (Claim 3)

[1780] The system according to claim 1, further comprising means for a user to submit and share the generated mountain climbing plan and meal plan in paper form or by email. [Explanation of symbols]

[1781] 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 for the user to input the date, destination, number of participants, experience and age of the participants; A server receives this information and searches the database for suitable climbing routes. A means for the server to generate a required equipment list taking into account the season and route characteristics; A means for the server to evaluate the appropriateness of participants based on their climbing experience and age; A means for the user to review and adjust the generated mountain climbing itinerary; The system includes a means for a server to generate and provide a final mountain climbing plan.

2. 2. The system according to claim 1, wherein the mountain climbing itinerary generated by the server includes a detailed route map, emergency contact information, and a weather forecast.

3. The system according to claim 1, further comprising means for a user to submit and share the generated mountain climbing itinerary on paper or by email.

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