system

Abstract

The system according to the embodiment aims to effectively utilize the energy generated by exercise. [Solution] A system according to an embodiment includes an exercise machine, an energy management system, a providing unit, and a supply unit. The exercise machine incorporates a generator. The energy management system aggregates the power generated by the exercise machine. The providing unit provides the amount of power generated aggregated by the energy management system to a user. The supply unit supplies the amount of power generated aggregated by the energy management system to a power grid.

Description

[Technical Field]

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

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

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

[0004] Conventional techniques have not yet fully established means for effectively utilizing the energy generated by exercise, and there is room for improvement.

[0005] The system according to the embodiment aims to effectively utilize the energy generated by exercise. [Means for solving the problem]

[0006] A system according to an embodiment includes an exercise machine, an energy management system, a providing unit, and a supplying unit. The exercise machine incorporates a generator. The energy management system aggregates the power generated by the exercise machine. The providing unit provides the amount of power generated aggregated by the energy management system to a user. The supplying unit supplies the amount of power generated aggregated by the energy management system to a power grid. [Effects of the Invention]

[0007] The system according to the embodiment can effectively utilize the energy generated by exercise. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) A fitness center according to an embodiment of the present invention is a system that uses renewable energy to power exercise equipment such as treadmills and bicycles. The fitness center allows users to feel that they are contributing to the environment while exercising and generates revenue by supplying the generated energy to the power grid. For example, a fitness center may incorporate generators into exercise equipment such as treadmills and bicycles. When users use these equipment, the generators rotate and generate electricity. The generated electricity is not only used to power the fitness center but also monetized by being supplied to the power grid. Next, an energy management system within the fitness center monitors the amount of generated electricity in real time. This system aggregates the amount of electricity generated by each piece of exercise equipment and manages the energy balance of the entire fitness center. For example, the system tracks how much electricity generated by running on a treadmill or pedaling on a bicycle is consumed within the fitness center and how much is supplied to the power grid. Furthermore, a system is provided that allows users to check how much electricity they have generated through their exercise. For example, the amount of electricity generated may be displayed on the treadmill or bicycle display. This allows users to feel that they are contributing to the environment while exercising. Fitness centers can also earn revenue by supplying the generated electricity to the power grid. For example, they can cover their operating costs by selling the generated electricity to a power company. This allows fitness centers to realize that their users are contributing to the environment while exercising and monetize the generated electricity. This allows fitness centers to realize that their users are contributing to the environment while exercising and monetize the generated electricity. For example, electricity generated by running on a treadmill or pedaling a bicycle can be used for lighting and air conditioning in the fitness center, and can also be supplied to the power grid, thereby covering the operating costs of the fitness center.

[0029] A fitness center according to an embodiment includes exercise equipment, an energy management system, a providing unit, and a supply unit. The exercise equipment includes treadmills and bicycles equipped with built-in generators. When a user exercises on the exercise equipment, the generator rotates to generate power. For example, when a user runs on a treadmill, the belt rotates, causing the generator to generate power. When a user pedals on a bicycle, the generator rotates to generate power. The energy management system aggregates the power generated by the exercise equipment and manages the energy balance of the entire fitness center. The energy management system monitors the amount of power generated by each exercise equipment in real time and aggregates the amount of power generated. For example, the energy management system aggregates the amount of power generated by the treadmills and bicycles and manages the energy balance of the entire fitness center. The providing unit provides the amount of power generated aggregated by the energy management system to a user. The providing unit displays the amount of power generated on a display of the treadmill or bicycle. For example, the providing unit displays how much power a user generated as a result of exercising on the display. The supply unit supplies the amount of power generated aggregated by the energy management system to a power grid. The supply unit sells the generated electricity to a power company. For example, the supply unit supplies the generated electricity to a power grid and earns revenue by selling it to a power company. This allows the fitness center according to the embodiment to generate electricity while users exercise and efficiently manage and supply that electricity.

[0030] Exercise equipment can include treadmills and bicycles. In a treadmill, a belt rotates as the user runs, causing a generator to generate electricity. For example, a treadmill has specifications such as belt length, speed range, and incline function. In a bicycle, a generator rotates as the user pedals, generating electricity. For example, bicycles have specifications such as stationary bicycles, spin bikes, and resistance adjustment functions. This allows for limiting the types of exercise equipment to provide a power generation system compatible with specific exercise equipment.

[0031] The energy management system can monitor the amount of power generated from each piece of exercise equipment in real time. The energy management system monitors the amount of power generated from each piece of exercise equipment in real time. For example, the energy management system monitors the amount of power generated from a treadmill or bicycle in real time and aggregates the amount of power generated. The energy management system also updates the data on the amount of power generated in real time, minimizing delays. This allows for efficient energy management by monitoring the amount of power generated in real time.

[0032] The information providing unit can display the amount of power generated on the display of the treadmill or bicycle. The information providing unit displays the amount of power generated on the display of the treadmill or bicycle. For example, the information providing unit displays how much power the user has generated by exercising. The information providing unit can also use a display with specifications such as an LCD display, a touch screen, or resolution. This allows the user to check the amount of power generated while exercising, making it easier for them to realize their contribution to the environment.

[0033] The supply unit can sell the generated electricity to a power company. The supply unit sells the generated electricity to a power company. For example, the supply unit supplies the generated electricity to a power grid and earns revenue by selling it to the power company. The supply unit can also sell the electricity taking into consideration contract terms such as the local power company, contract rates, and supply conditions. In this way, the generated electricity can be monetized to cover the operating costs of the fitness center.

[0034] The energy management system can manage the energy balance of the entire fitness center. For example, the energy management system aggregates the amount of power generated by each piece of exercise equipment and manages the energy balance of the entire fitness center. The energy management system can also calculate the energy balance based on data such as energy consumption, energy generation, and energy balance. This allows for efficient management of the energy balance of the entire fitness center.

[0035] Exercise equipment incorporating a generator can analyze a user's exercise patterns and provide an efficient exercise program to improve the power generation efficiency of the exercise equipment. Exercise equipment incorporating a generator can analyze a user's exercise patterns and provide an efficient exercise program to improve the power generation efficiency of the exercise equipment. For example, the generator can analyze the user's past exercise data and suggest the most efficient exercise pattern. It can also monitor the user's heart rate and calorie consumption during exercise in real time and adjust the optimal exercise intensity. It can also provide an individually customized exercise program based on the user's exercise history. In this way, power generation efficiency can be improved by analyzing the user's exercise patterns.

[0036] Exercise equipment with built-in generators can automatically generate a maintenance schedule for the generator built into the exercise equipment, enabling efficient operation. Exercise equipment with built-in generators can automatically generate a maintenance schedule for the generator built into the exercise equipment, enabling efficient operation. For example, the system can monitor the generator's usage time and load status and automatically notify the user of the optimal maintenance period. It can also analyze the generator's performance data and recommend maintenance if deterioration is observed. It can also record the generator's maintenance history and predict when the next maintenance will be required. This allows for efficient operation by automatically generating a maintenance schedule for the generator.

[0037] Exercise equipment incorporating a generator can dynamically adjust the generator output depending on the usage status of the exercise equipment. Exercise equipment incorporating a generator dynamically adjusts the generator output depending on the usage status of the exercise equipment. For example, when a user is performing high-intensity exercise, the generator output is maximized. On the other hand, when a user is performing low-intensity exercise, the generator output can be optimized. Furthermore, when multiple users are exercising at the same time, the total amount of power generated can be distributed evenly. This allows for efficient power generation by adjusting the generator output depending on the usage status of the exercise equipment.

[0038] Exercise equipment with built-in generators can optimize the amount of power generated by the generators built into the equipment by linking with other fitness equipment. Exercise equipment with built-in generators can optimize the amount of power generated by the generators built into the equipment by linking with other fitness equipment. For example, the amount of power generated by treadmills and bicycles can be monitored in real time to optimize overall power generation efficiency. It is also possible to compare the amount of power generated by each piece of exercise equipment and prioritize the use of the most efficient equipment. It is also possible to aggregate the amount of power generated by all exercise equipment in a fitness center and perform optimal energy management. This makes it possible to optimize power generation by linking with other fitness equipment.

[0039] Exercise equipment with a built-in generator can analyze the amount of power generated by the exercise equipment in conjunction with the user's health data, making it useful for health management. Exercise equipment with a built-in generator can analyze the amount of power generated by the exercise equipment in conjunction with the user's health data, making it useful for health management. For example, the user's heart rate and calorie consumption can be compared with the amount of power generated to evaluate their health condition. The user's exercise history and the amount of power generated can also be analyzed to suggest an optimal exercise program. The amount of power generated can also be used as an indicator for health management based on the user's health data. In this way, by linking the amount of power generated with the user's health data, it can be used to help manage health.

[0040] Exercise equipment with a built-in generator can optimize the amount of power generated by the exercise equipment in cooperation with other energy-consuming devices in the fitness center. Exercise equipment with a built-in generator can optimize the amount of power generated by the exercise equipment in cooperation with other energy-consuming devices in the fitness center. For example, it can be linked to the lighting and air conditioning in the fitness center to optimally allocate the amount of power generated. It can also monitor the consumption of each energy-consuming device in real time and adjust the amount of power generated. It can also manage the energy balance of the entire fitness center and efficiently use the amount of power generated. This makes it possible to optimize the amount of power generated by linking with other energy-consuming devices.

[0041] The energy management system can analyze data on power generation and propose an optimal energy usage plan. The energy management system can analyze data on power generation and propose an optimal energy usage plan. For example, it can analyze data on power generation for each piece of exercise equipment to create an optimal energy usage plan. It can also propose an efficient energy usage plan based on the energy balance of the entire fitness center. It can also analyze data on past power generation and optimize future energy usage plans. In this way, it is possible to propose an efficient energy usage plan by analyzing data on power generation.

[0042] The energy management system monitors the usage of energy-consuming devices within a fitness center in real time, enabling efficient energy management. The energy management system monitors the usage of energy-consuming devices within a fitness center in real time, enabling efficient energy management. For example, it monitors the usage of energy-consuming devices such as lighting and air conditioning in real time. It can also analyze the consumption of each energy-consuming device to enable optimal energy management. It can also grasp the energy balance of the entire fitness center in real time, enabling efficient energy management. As a result, efficient energy management is possible by monitoring the usage of energy-consuming devices in real time.

[0043] The energy management system can predict power generation based on past data and optimize the energy supply plan. The energy management system predicts power generation based on past data and optimizes the energy supply plan. For example, it analyzes past power generation data and predicts future power generation. It can also create an optimal energy supply plan based on past energy consumption data. It can also optimize the energy supply plan based on predicted power generation data. In this way, an efficient energy supply plan can be created by predicting power generation based on past data.

[0044] The energy management system can work with other systems in the fitness center to improve energy efficiency. The energy management system can work with other systems in the fitness center (e.g., the air conditioning system) to improve energy efficiency. For example, it can work with the air conditioning system to optimize the air conditioning settings according to the amount of power generated. It can also work with the lighting system to adjust the brightness of the lights according to the amount of power generated. It can also work with all systems in the fitness center to maximize energy efficiency. In this way, energy efficiency can be improved by working with other systems.

[0045] The energy management system can work in conjunction with external energy supply systems to achieve optimal energy supply. The energy management system can work in conjunction with external energy supply systems to achieve optimal energy supply. For example, it can work in conjunction with an electric power company's energy supply system to adjust energy supply according to the amount of power generated. It can also work in conjunction with other renewable energy sources (e.g., solar power generation) to optimize the overall energy supply. It can also work in conjunction with external energy supply systems to maximize the efficiency of energy supply. By working in conjunction with external energy supply systems, it can maximize the efficiency of energy supply.

[0046] The energy management system can analyze individual energy consumption patterns in conjunction with the user's exercise data. The energy management system can analyze individual energy consumption patterns in conjunction with the user's exercise data. For example, it can analyze individual energy consumption patterns based on the user's exercise data. It can also compare the user's exercise history with the amount of power generated and suggest optimal energy consumption patterns. It can also maximize energy consumption efficiency based on the user's exercise data. In this way, it can analyze individual energy consumption patterns by linking with the user's exercise data.

[0047] The providing unit can visually display fluctuations in the amount of power generated in cooperation with the user's exercise history. The providing unit visually displays fluctuations in the amount of power generated in cooperation with the user's exercise history. For example, the providing unit displays fluctuations in the amount of power generated in a graph based on the user's exercise history. It can also visually display the relationship between the user's exercise intensity and the amount of power generated. It can also visually display a comparison between the user's exercise history and the amount of power generated. In this way, it is possible to visually display fluctuations in the amount of power generated in cooperation with the user's exercise history.

[0048] The providing unit can customize the display content based on the user's feedback to improve the user's motivation. The providing unit can customize the display content based on the user's feedback to improve the user's motivation. For example, the providing unit can customize the display method of the amount of power generation based on the user's feedback. In addition, it can also display a target to be achieved in order to improve the user's motivation. It can also reflect the user's feedback and provide visually attractive display content. In this way, the display content can be customized based on the user's feedback to improve the user's motivation.

[0049] The providing unit can integrate the data on the amount of power generated with other health data and display it to support comprehensive health management. The providing unit can integrate the data on the amount of power generated with other health data and display it to support comprehensive health management. For example, the data on the amount of power generated can be integrated with the user's heart rate and calorie consumption and displayed. The data on the amount of power generated can also be integrated with the user's exercise history to support comprehensive health management. The data on the amount of power generated can also be displayed as a health management indicator based on the user's health data. In this way, by integrating the data on the amount of power generated with other health data, comprehensive health management can be supported.

[0050] The providing unit can display the overall energy usage status in cooperation with other information within the fitness center. The providing unit can display the overall energy usage status in cooperation with other information within the fitness center (e.g., air conditioning status). For example, the air conditioning status and power generation amount within the fitness center can be integrated and displayed. The lighting usage status and power generation amount can also be integrated to display the overall energy usage status. The usage status of all energy consuming devices within the fitness center can also be integrated and displayed together with the power generation amount. In this way, by linking with other information, the overall energy usage status can be displayed.

[0051] The providing unit can display the degree of achievement of the amount of power generation in cooperation with the user's exercise goal. The providing unit displays the degree of achievement of the amount of power generation in cooperation with the user's exercise goal. For example, the providing unit displays the degree of achievement of the amount of power generation relative to the user's exercise goal in a graph. The providing unit can also compare the amount of power generation with the user's exercise goal and visually display the degree of achievement. The providing unit can also display the degree of achievement of the amount of power generation in real time based on the user's exercise goal. In this way, the providing unit can visually display the degree of achievement of the amount of power generation in cooperation with the user's exercise goal.

[0052] The providing unit can share the data on the amount of power generation in cooperation with the user's social media account. ... For example, the providing unit can automatically post the data on the amount of power generation to the user's social media account. The providing unit can also share the data on the amount of power generation with the user's friends to promote competition. The providing unit can also publish the data on the amount of power generation through the user's social media account to highlight contributions to the environment. In this way, the providing unit can share the data on the amount of power generation by cooperation with the user's social media account.

[0053] The supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. The supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. For example, the supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. It can also increase supply during peak demand times in the power network and decrease supply when demand is low. It can also plan the optimal supply timing based on demand forecast data for the power network. In this way, the optimal supply timing can be determined by monitoring the demand situation of the power network in real time.

[0054] The supply department can optimize the supply plan based on the data on the amount of power generated and maximize profits. The supply department can optimize the supply plan based on the data on the amount of power generated and maximize profits. For example, it analyzes the data on the amount of power generated and creates an optimal supply plan. It can also create a supply plan that maximizes profits based on predicted data on the amount of power generated. It can also compare the amount of power generated with the demand for electricity on the power network and determine the optimal supply timing. In this way, it is possible to maximize profits by optimizing the supply plan based on the data on the amount of power generated.

[0055] The supply unit can adjust the supply amount based on the usage status of the energy consuming devices in the fitness center. The supply unit adjusts the supply amount based on the usage status of the energy consuming devices in the fitness center. For example, the supply amount is adjusted taking into account the usage status of the lighting and air conditioning in the fitness center. The supply unit can also monitor the consumption of each energy consuming device in real time and optimize the supply amount. The supply amount can also be adjusted based on the energy balance of the entire fitness center. In this way, the supply amount can be optimized by taking into account the usage status of the energy consuming devices.

[0056] The supply unit can optimize the overall energy supply in cooperation with other renewable energy sources. The supply unit can optimize the overall energy supply in cooperation with other renewable energy sources (e.g., solar power generation). For example, it can cooperate with solar power generation to adjust the energy supply according to the amount of power generated. It can also cooperate with wind power generation to optimize the overall energy supply. It can also cooperate with other renewable energy sources to maximize the efficiency of the energy supply. This makes it possible to maximize the efficiency of the energy supply by coordinating with other renewable energy sources.

[0057] The supply department can adjust the supply plan based on the terms of the contract with the power company. The supply department adjusts the supply plan based on the terms of the contract with the power company. For example, the supply department creates an optimal supply plan taking into account the terms of the contract with the power company. The supply department can also adjust the supply timing based on the terms of the contract with the power company. The supply department can also create a supply plan that maximizes profits based on the terms of the contract with the power company. In this way, profits can be maximized by adjusting the supply plan based on the terms of the contract with the power company.

[0058] The supply unit can cooperate with energy consuming devices in the fitness center to achieve efficient energy use. The supply unit cooperates with energy consuming devices in the fitness center to achieve efficient energy use. For example, the supply unit cooperates with lighting and air conditioning in the fitness center to achieve efficient energy use. The supply unit can also monitor the consumption of each energy consuming device in real time to achieve efficient energy use. The supply unit can also achieve efficient energy use based on the energy balance of the entire fitness center. In this way, efficient energy use can be achieved by coordinating with energy consuming devices.

[0059] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0060] Fitness centers can provide personalized exercise programs based on users' exercise data. For example, they can analyze a user's past exercise history and suggest the most appropriate exercise program. They can also monitor the user's heart rate and calorie consumption in real time during exercise and adjust exercise intensity accordingly. Furthermore, they can visually display the user's progress based on their exercise goals. This allows users to receive the most appropriate exercise program and maximize the benefits of their exercise.

[0061] Fitness centers can automatically generate maintenance schedules based on the usage of exercise equipment. For example, they can monitor the usage time and load of exercise equipment and notify users of the optimal maintenance period. They can also analyze the performance data of exercise equipment and recommend maintenance if deterioration is detected. They can also record maintenance history and predict when the next maintenance will be required. This allows for more efficient operation of exercise equipment.

[0062] The fitness center can link with the user's exercise data to help with health management. For example, it can compare the user's heart rate and calorie consumption with the exercise data to evaluate their health condition. It can also suggest optimal exercise programs based on the user's exercise history. Furthermore, it can use the exercise data as an indicator for health management based on the user's health data. This can support the user's health management.

[0063] Fitness centers can optimize their energy usage plans based on the amount of power generated by exercise equipment. For example, the power generation data for each piece of exercise equipment can be analyzed to create an optimal energy usage plan. It is also possible to propose an efficient energy usage plan based on the energy balance of the entire fitness center. Furthermore, it is also possible to analyze past power generation data and optimize future energy usage plans. This allows for efficient energy use.

[0064] Fitness centers can optimize the power generation of exercise equipment by linking it with other fitness equipment. For example, the power generation of treadmills and bicycles can be monitored in real time to optimize overall power generation efficiency. It is also possible to compare the power generation of each piece of exercise equipment and prioritize the use of the most efficient equipment. Furthermore, the power generation of all exercise equipment in a fitness center can be aggregated to enable optimal energy management. This allows power generation to be optimized by linking it with other fitness equipment.

[0065] The fitness center can display the degree of achievement of the amount of power generation in conjunction with the user's exercise goals. For example, the degree of achievement of the amount of power generation relative to the user's exercise goals can be displayed in a graph. The fitness center can also compare the amount of power generation with the user's exercise goals and visually display the degree of achievement. Furthermore, the fitness center can display the degree of achievement of the amount of power generation in real time based on the user's exercise goals. In this way, the fitness center can visually display the degree of achievement of the amount of power generation in conjunction with the user's exercise goals.

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

[0067] Step 1: Exercise equipment includes treadmills and bicycles that incorporate a generator. When the user exercises, the generator rotates and generates electricity. For example, with a treadmill, the belt rotates as the user runs, causing the generator to generate electricity. Similarly, with a bicycle, the generator rotates as the user pedals, generating electricity. Step 2: The energy management system aggregates the electricity generated by the exercise equipment and manages the energy balance of the entire fitness center. The energy management system monitors the amount of electricity generated by each piece of exercise equipment in real time and aggregates the amount of electricity generated. For example, the energy management system aggregates the amount of electricity generated by treadmills and bicycles and manages the energy balance of the entire fitness center. Step 3: The providing unit provides the amount of power generated, calculated by the energy management system, to the user. The providing unit displays the amount of power generated on the display of the treadmill or bicycle. For example, the providing unit displays on the display how much power the user generated by exercising. Step 4: The supply unit supplies the amount of power generated that has been aggregated by the energy management system to the power grid. The supply unit sells the generated power to the power company. For example, the supply unit supplies the generated power to the power grid and earns revenue by selling it to the power company.

[0068] (Example 2) A fitness center according to an embodiment of the present invention is a system that uses renewable energy to power exercise equipment such as treadmills and bicycles. The fitness center allows users to feel that they are contributing to the environment while exercising and generates revenue by supplying the generated energy to the power grid. For example, a fitness center may incorporate generators into exercise equipment such as treadmills and bicycles. When users use these equipment, the generators rotate and generate electricity. The generated electricity is not only used to power the fitness center but also monetized by being supplied to the power grid. Next, an energy management system within the fitness center monitors the amount of generated electricity in real time. This system aggregates the amount of electricity generated by each piece of exercise equipment and manages the energy balance of the entire fitness center. For example, the system tracks how much electricity generated by running on a treadmill or pedaling on a bicycle is consumed within the fitness center and how much is supplied to the power grid. Furthermore, a system is provided that allows users to check how much electricity they have generated through their exercise. For example, the amount of electricity generated may be displayed on the treadmill or bicycle display. This allows users to feel that they are contributing to the environment while exercising. Fitness centers can also earn revenue by supplying the generated electricity to the power grid. For example, they can cover their operating costs by selling the generated electricity to a power company. This allows fitness centers to realize that their users are contributing to the environment while exercising and monetize the generated electricity. This allows fitness centers to realize that their users are contributing to the environment while exercising and monetize the generated electricity. For example, electricity generated by running on a treadmill or pedaling a bicycle can be used for lighting and air conditioning in the fitness center, and can also be supplied to the power grid, thereby covering the operating costs of the fitness center.

[0069] A fitness center according to an embodiment includes exercise equipment, an energy management system, a providing unit, and a supply unit. The exercise equipment includes treadmills and bicycles equipped with built-in generators. When a user exercises on the exercise equipment, the generator rotates to generate power. For example, when a user runs on a treadmill, the belt rotates, causing the generator to generate power. When a user pedals on a bicycle, the generator rotates to generate power. The energy management system aggregates the power generated by the exercise equipment and manages the energy balance of the entire fitness center. The energy management system monitors the amount of power generated by each exercise equipment in real time and aggregates the amount of power generated. For example, the energy management system aggregates the amount of power generated by the treadmills and bicycles and manages the energy balance of the entire fitness center. The providing unit provides the amount of power generated aggregated by the energy management system to a user. The providing unit displays the amount of power generated on a display of the treadmill or bicycle. For example, the providing unit displays how much power a user generated as a result of exercising on the display. The supply unit supplies the amount of power generated aggregated by the energy management system to a power grid. The supply unit sells the generated electricity to a power company. For example, the supply unit supplies the generated electricity to a power grid and earns revenue by selling it to a power company. This allows the fitness center according to the embodiment to generate electricity while users exercise and efficiently manage and supply that electricity.

[0070] Exercise equipment can include treadmills and bicycles. In a treadmill, a belt rotates as the user runs, causing a generator to generate electricity. For example, a treadmill has specifications such as belt length, speed range, and incline function. In a bicycle, a generator rotates as the user pedals, generating electricity. For example, bicycles have specifications such as stationary bicycles, spin bikes, and resistance adjustment functions. This allows for limiting the types of exercise equipment to provide a power generation system compatible with specific exercise equipment.

[0071] The energy management system can monitor the amount of power generated from each piece of exercise equipment in real time. The energy management system monitors the amount of power generated from each piece of exercise equipment in real time. For example, the energy management system monitors the amount of power generated from a treadmill or bicycle in real time and aggregates the amount of power generated. The energy management system also updates the data on the amount of power generated in real time, minimizing delays. This allows for efficient energy management by monitoring the amount of power generated in real time.

[0072] The information providing unit can display the amount of power generated on the display of the treadmill or bicycle. The information providing unit displays the amount of power generated on the display of the treadmill or bicycle. For example, the information providing unit displays how much power the user has generated by exercising. The information providing unit can also use a display with specifications such as an LCD display, a touch screen, or resolution. This allows the user to check the amount of power generated while exercising, making it easier for them to realize their contribution to the environment.

[0073] The supply unit can sell the generated electricity to a power company. The supply unit sells the generated electricity to a power company. For example, the supply unit supplies the generated electricity to a power grid and earns revenue by selling it to the power company. The supply unit can also sell the electricity taking into consideration contract terms such as the local power company, contract rates, and supply conditions. In this way, the generated electricity can be monetized to cover the operating costs of the fitness center.

[0074] The energy management system can manage the energy balance of the entire fitness center. For example, the energy management system aggregates the amount of power generated by each piece of exercise equipment and manages the energy balance of the entire fitness center. The energy management system can also calculate the energy balance based on data such as energy consumption, energy generation, and energy balance. This allows for efficient management of the energy balance of the entire fitness center.

[0075] An exercise device incorporating a generator can estimate a user's emotions and adjust the load of the exercise device based on the estimated user's emotions. An exercise device incorporating a generator can estimate a user's emotions and adjust the load of the exercise device based on the estimated user's emotions. For example, if a user is feeling stressed, the load of the exercise device can be reduced to provide a relaxing exercise program. Alternatively, if a user is feeling energetic, the load of the exercise device can be increased to provide a more challenging exercise program. Alternatively, if a user is tired, the load of the exercise device can be minimized to recommend light exercise. This allows for more effective exercise by adjusting the load of the exercise device according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI can be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0076] Exercise equipment incorporating a generator can analyze a user's exercise patterns and provide an efficient exercise program to improve the power generation efficiency of the exercise equipment. Exercise equipment incorporating a generator can analyze a user's exercise patterns and provide an efficient exercise program to improve the power generation efficiency of the exercise equipment. For example, the generator can analyze the user's past exercise data and suggest the most efficient exercise pattern. It can also monitor the user's heart rate and calorie consumption during exercise in real time and adjust the optimal exercise intensity. It can also provide an individually customized exercise program based on the user's exercise history. In this way, power generation efficiency can be improved by analyzing the user's exercise patterns.

[0077] Exercise equipment with built-in generators can automatically generate a maintenance schedule for the generator built into the exercise equipment, enabling efficient operation. Exercise equipment with built-in generators can automatically generate a maintenance schedule for the generator built into the exercise equipment, enabling efficient operation. For example, the system can monitor the generator's usage time and load status and automatically notify the user of the optimal maintenance period. It can also analyze the generator's performance data and recommend maintenance if deterioration is observed. It can also record the generator's maintenance history and predict when the next maintenance will be required. This allows for efficient operation by automatically generating a maintenance schedule for the generator.

[0078] Exercise equipment incorporating a generator can dynamically adjust the generator output depending on the usage status of the exercise equipment. Exercise equipment incorporating a generator dynamically adjusts the generator output depending on the usage status of the exercise equipment. For example, when a user is performing high-intensity exercise, the generator output is maximized. On the other hand, when a user is performing low-intensity exercise, the generator output can be optimized. Furthermore, when multiple users are exercising at the same time, the total amount of power generated can be distributed evenly. This allows for efficient power generation by adjusting the generator output depending on the usage status of the exercise equipment.

[0079] An exercise device incorporating a generator can estimate a user's emotions and recommend usage times for the exercise device based on the estimated user emotions. An exercise device incorporating a generator can estimate a user's emotions and recommend usage times for the exercise device based on the estimated user emotions. For example, if a user is feeling stressed, a short period of relaxing exercise can be recommended. Alternatively, if a user is feeling energetic, a long period of high-intensity exercise can be recommended. Alternatively, if a user is tired, a short period of light exercise can be recommended. This allows for more effective exercise by recommending usage times for the exercise device based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI can be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0080] Exercise equipment with built-in generators can optimize the amount of power generated by the generators built into the equipment by linking with other fitness equipment. Exercise equipment with built-in generators can optimize the amount of power generated by the generators built into the equipment by linking with other fitness equipment. For example, the amount of power generated by treadmills and bicycles can be monitored in real time to optimize overall power generation efficiency. It is also possible to compare the amount of power generated by each piece of exercise equipment and prioritize the use of the most efficient equipment. It is also possible to aggregate the amount of power generated by all exercise equipment in a fitness center and perform optimal energy management. This makes it possible to optimize power generation by linking with other fitness equipment.

[0081] Exercise equipment with a built-in generator can analyze the amount of power generated by the exercise equipment in conjunction with the user's health data, making it useful for health management. Exercise equipment with a built-in generator can analyze the amount of power generated by the exercise equipment in conjunction with the user's health data, making it useful for health management. For example, the user's heart rate and calorie consumption can be compared with the amount of power generated to evaluate their health condition. The user's exercise history and the amount of power generated can also be analyzed to suggest an optimal exercise program. The amount of power generated can also be used as an indicator for health management based on the user's health data. In this way, by linking the amount of power generated with the user's health data, it can be used to help manage health.

[0082] Exercise equipment with a built-in generator can optimize the amount of power generated by the exercise equipment in cooperation with other energy-consuming devices in the fitness center. Exercise equipment with a built-in generator can optimize the amount of power generated by the exercise equipment in cooperation with other energy-consuming devices in the fitness center. For example, it can be linked to the lighting and air conditioning in the fitness center to optimally allocate the amount of power generated. It can also monitor the consumption of each energy-consuming device in real time and adjust the amount of power generated. It can also manage the energy balance of the entire fitness center and efficiently use the amount of power generated. This makes it possible to optimize the amount of power generated by linking with other energy-consuming devices.

[0083] The energy management system can estimate a user's emotions and customize the display content of the energy management system based on the estimated user emotions. The energy management system estimates a user's emotions and customizes the display content of the energy management system based on the estimated user emotions. For example, when the user is relaxed, simple, highly visible display content can be provided. When the user is feeling energetic, detailed energy balance information can be provided. When the user is feeling stressed, visually relaxing display content can be provided. This allows the display content to be customized according to the user's emotions, making it possible to provide a more user-friendly energy management system. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generation AI. The generation AI can be, for example, a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0084] The energy management system can analyze data on power generation and propose an optimal energy usage plan. The energy management system can analyze data on power generation and propose an optimal energy usage plan. For example, it can analyze data on power generation for each piece of exercise equipment to create an optimal energy usage plan. It can also propose an efficient energy usage plan based on the energy balance of the entire fitness center. It can also analyze data on past power generation and optimize future energy usage plans. In this way, it is possible to propose an efficient energy usage plan by analyzing data on power generation.

[0085] The energy management system monitors the usage of energy-consuming devices within a fitness center in real time, enabling efficient energy management. The energy management system monitors the usage of energy-consuming devices within a fitness center in real time, enabling efficient energy management. For example, it monitors the usage of energy-consuming devices such as lighting and air conditioning in real time. It can also analyze the consumption of each energy-consuming device to enable optimal energy management. It can also grasp the energy balance of the entire fitness center in real time, enabling efficient energy management. As a result, efficient energy management is possible by monitoring the usage of energy-consuming devices in real time.

[0086] The energy management system can predict power generation based on past data and optimize the energy supply plan. The energy management system predicts power generation based on past data and optimizes the energy supply plan. For example, it analyzes past power generation data and predicts future power generation. It can also create an optimal energy supply plan based on past energy consumption data. It can also optimize the energy supply plan based on predicted power generation data. In this way, an efficient energy supply plan can be created by predicting power generation based on past data.

[0087] The energy management system can estimate a user's emotions and adjust alerts of the energy management system based on the estimated user emotions. The energy management system can estimate a user's emotions and adjust alerts of the energy management system based on the estimated user emotions. For example, if the user is relaxed, a gentle alert sound can be set. Alternatively, if the user is feeling energetic, a bright alert sound can be set. Alternatively, if the user is feeling stressed, a visually relaxing alert display can be provided. This allows for adjusting alerts according to the user's emotions, thereby providing a more user-friendly energy management system. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI.

[0088] The energy management system can work with other systems in the fitness center to improve energy efficiency. The energy management system can work with other systems in the fitness center (e.g., the air conditioning system) to improve energy efficiency. For example, it can work with the air conditioning system to optimize the air conditioning settings according to the amount of power generated. It can also work with the lighting system to adjust the brightness of the lights according to the amount of power generated. It can also work with all systems in the fitness center to maximize energy efficiency. In this way, energy efficiency can be improved by working with other systems.

[0089] The energy management system can work in conjunction with external energy supply systems to achieve optimal energy supply. The energy management system can work in conjunction with external energy supply systems to achieve optimal energy supply. For example, it can work in conjunction with an electric power company's energy supply system to adjust energy supply according to the amount of power generated. It can also work in conjunction with other renewable energy sources (e.g., solar power generation) to optimize the overall energy supply. It can also work in conjunction with external energy supply systems to maximize the efficiency of energy supply. By working in conjunction with external energy supply systems, it can maximize the efficiency of energy supply.

[0090] The energy management system can analyze individual energy consumption patterns in conjunction with the user's exercise data. The energy management system can analyze individual energy consumption patterns in conjunction with the user's exercise data. For example, it can analyze individual energy consumption patterns based on the user's exercise data. It can also compare the user's exercise history with the amount of power generated and suggest optimal energy consumption patterns. It can also maximize energy consumption efficiency based on the user's exercise data. In this way, it can analyze individual energy consumption patterns by linking with the user's exercise data.

[0091] The providing unit can estimate the user's emotions and adjust the display method of the power generation amount based on the estimated user's emotions. The providing unit can estimate the user's emotions and adjust the display method of the power generation amount based on the estimated user's emotions. For example, if the user is relaxed, a simple and highly visible display method can be provided. Also, if the user is feeling energetic, detailed power generation amount information can be provided. Also, if the user is feeling stressed, a display method that visually relaxes the user can be provided. This allows the display method to be adjusted according to the user's emotions, making it easier to use. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0092] The providing unit can visually display fluctuations in the amount of power generated in cooperation with the user's exercise history. The providing unit visually displays fluctuations in the amount of power generated in cooperation with the user's exercise history. For example, the providing unit displays fluctuations in the amount of power generated in a graph based on the user's exercise history. It can also visually display the relationship between the user's exercise intensity and the amount of power generated. It can also visually display a comparison between the user's exercise history and the amount of power generated. In this way, it is possible to visually display fluctuations in the amount of power generated in cooperation with the user's exercise history.

[0093] The providing unit can customize the display content based on the user's feedback to improve the user's motivation. The providing unit can customize the display content based on the user's feedback to improve the user's motivation. For example, the providing unit can customize the display method of the amount of power generation based on the user's feedback. In addition, it can also display a target to be achieved in order to improve the user's motivation. It can also reflect the user's feedback and provide visually attractive display content. In this way, the display content can be customized based on the user's feedback to improve the user's motivation.

[0094] The providing unit can integrate the data on the amount of power generated with other health data and display it to support comprehensive health management. The providing unit can integrate the data on the amount of power generated with other health data and display it to support comprehensive health management. For example, the data on the amount of power generated can be integrated with the user's heart rate and calorie consumption and displayed. The data on the amount of power generated can also be integrated with the user's exercise history to support comprehensive health management. The data on the amount of power generated can also be displayed as a health management indicator based on the user's health data. In this way, by integrating the data on the amount of power generated with other health data, comprehensive health management can be supported.

[0095] The providing unit can estimate the user's emotions and adjust the display frequency of the power generation amount based on the estimated user's emotions. The providing unit can estimate the user's emotions and adjust the display frequency of the power generation amount based on the estimated user's emotions. For example, if the user is relaxed, the display frequency of the power generation amount can be set low. Also, if the user is feeling energetic, the display frequency of the power generation amount can be set high. Also, if the user is feeling stressed, a display frequency that visually relaxes the user can be provided. This allows for a more user-friendly display by adjusting the display frequency according to the user's emotions. The emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or a generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0096] The providing unit can display the overall energy usage status in cooperation with other information within the fitness center. The providing unit can display the overall energy usage status in cooperation with other information within the fitness center (e.g., air conditioning status). For example, the air conditioning status and power generation amount within the fitness center can be integrated and displayed. The lighting usage status and power generation amount can also be integrated to display the overall energy usage status. The usage status of all energy consuming devices within the fitness center can also be integrated and displayed together with the power generation amount. In this way, by linking with other information, the overall energy usage status can be displayed.

[0097] The providing unit can display the degree of achievement of the amount of power generation in cooperation with the user's exercise goal. The providing unit displays the degree of achievement of the amount of power generation in cooperation with the user's exercise goal. For example, the providing unit displays the degree of achievement of the amount of power generation relative to the user's exercise goal in a graph. The providing unit can also compare the amount of power generation with the user's exercise goal and visually display the degree of achievement. The providing unit can also display the degree of achievement of the amount of power generation in real time based on the user's exercise goal. In this way, the providing unit can visually display the degree of achievement of the amount of power generation in cooperation with the user's exercise goal.

[0098] The providing unit can share the data on the amount of power generation in cooperation with the user's social media account. ... For example, the providing unit can automatically post the data on the amount of power generation to the user's social media account. The providing unit can also share the data on the amount of power generation with the user's friends to promote competition. The providing unit can also publish the data on the amount of power generation through the user's social media account to highlight contributions to the environment. In this way, the providing unit can share the data on the amount of power generation by cooperation with the user's social media account.

[0099] The supply unit can estimate the user's emotion and adjust the timing of power supply based on the estimated user's emotion. The supply unit estimates the user's emotion and adjusts the timing of power supply based on the estimated user's emotion. For example, if the user is relaxed, the timing of power supply can be adjusted gently. Also, if the user is feeling energetic, the timing of power supply can be adjusted quickly. Also, if the user is feeling stressed, power can be supplied at a timing that visually relaxes the user. This enables more effective power supply by adjusting the timing of power supply according to the user's emotion. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0100] The supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. The supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. For example, the supply unit can monitor the demand situation of the power network in real time and determine the optimal supply timing. It can also increase supply during peak demand times in the power network and decrease supply when demand is low. It can also plan the optimal supply timing based on demand forecast data for the power network. In this way, the optimal supply timing can be determined by monitoring the demand situation of the power network in real time.

[0101] The supply department can optimize the supply plan based on the data on the amount of power generated and maximize profits. The supply department can optimize the supply plan based on the data on the amount of power generated and maximize profits. For example, it analyzes the data on the amount of power generated and creates an optimal supply plan. It can also create a supply plan that maximizes profits based on predicted data on the amount of power generated. It can also compare the amount of power generated with the demand for electricity on the power network and determine the optimal supply timing. In this way, it is possible to maximize profits by optimizing the supply plan based on the data on the amount of power generated.

[0102] The supply unit can adjust the supply amount based on the usage status of the energy consuming devices in the fitness center. The supply unit adjusts the supply amount based on the usage status of the energy consuming devices in the fitness center. For example, the supply amount is adjusted taking into account the usage status of the lighting and air conditioning in the fitness center. The supply unit can also monitor the consumption of each energy consuming device in real time and optimize the supply amount. The supply amount can also be adjusted based on the energy balance of the entire fitness center. In this way, the supply amount can be optimized by taking into account the usage status of the energy consuming devices.

[0103] The supply unit can estimate the user's emotion and determine the priority of power supply based on the estimated user's emotion. The supply unit estimates the user's emotion and determines the priority of power supply based on the estimated user's emotion. For example, if the user is relaxed, the priority of power supply can be set low. Also, if the user is feeling energetic, the priority of power supply can be set high. Also, if the user is feeling stressed, power can be supplied with a priority that visually relaxes the user. In this way, by determining the priority of power supply according to the user's emotion, more effective power supply is possible. Emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI can be, for example, a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0104] The supply unit can optimize the overall energy supply in cooperation with other renewable energy sources. The supply unit can optimize the overall energy supply in cooperation with other renewable energy sources (e.g., solar power generation). For example, it can cooperate with solar power generation to adjust the energy supply according to the amount of power generated. It can also cooperate with wind power generation to optimize the overall energy supply. It can also cooperate with other renewable energy sources to maximize the efficiency of the energy supply. This makes it possible to maximize the efficiency of the energy supply by coordinating with other renewable energy sources.

[0105] The supply department can adjust the supply plan based on the terms of the contract with the power company. The supply department adjusts the supply plan based on the terms of the contract with the power company. For example, the supply department creates an optimal supply plan taking into account the terms of the contract with the power company. The supply department can also adjust the supply timing based on the terms of the contract with the power company. The supply department can also create a supply plan that maximizes profits based on the terms of the contract with the power company. In this way, profits can be maximized by adjusting the supply plan based on the terms of the contract with the power company.

[0106] The supply unit can cooperate with energy consuming devices in the fitness center to achieve efficient energy use. The supply unit cooperates with energy consuming devices in the fitness center to achieve efficient energy use. For example, the supply unit cooperates with lighting and air conditioning in the fitness center to achieve efficient energy use. The supply unit can also monitor the consumption of each energy consuming device in real time to achieve efficient energy use. The supply unit can also achieve efficient energy use based on the energy balance of the entire fitness center. In this way, efficient energy use can be achieved by coordinating with energy consuming devices. === Hard Collateral 1-1 === Each of the multiple elements, including the exercise equipment, energy management system, providing unit, and supply unit, described above, is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the exercise equipment is controlled by the control unit 46A of the smart device 14, and a generator rotates and generates electricity when the user exercises. The energy management system is realized by the specific processing unit 290 of the data processing device 12, and monitors the amount of electricity generated by each exercise equipment in real time and tallys up the amount of electricity generated. The providing unit is realized by the display 40A of the smart device 14, and displays how much electricity the user has generated through exercise. The supply unit is realized by the specific processing unit 290 of the data processing device 12, and supplies the generated electricity to the power grid and sells it to the power company. === Hard Collateral 1-2 === Each of the multiple elements, including the exercise equipment, energy management system, providing unit, and supply unit, described above, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the exercise equipment is controlled by the control unit 46A of the smart glasses 214, and when the user exercises, a generator rotates to generate electricity. The energy management system is realized by the specific processing unit 290 of the data processing device 12, and monitors the amount of electricity generated by each exercise equipment in real time and tallys up the amount of electricity generated. The providing unit is realized by the display of the smart glasses 214, and displays how much electricity the user has generated by exercising. The supply unit is realized by the specific processing unit 290 of the data processing device 12, and supplies the generated electricity to the power grid and sells it to the power company. === Hard Collateral 1-3 === Each of the multiple elements, including the exercise equipment, energy management system, providing unit, and supply unit, described above, is realized, for example, by at least one of the headset-type terminal 314 and the data processing device 12. For example, the exercise equipment is controlled by the control unit 46A of the headset-type terminal 314, and a generator rotates and generates electricity when the user exercises. The energy management system is realized by the specific processing unit 290 of the data processing device 12, and monitors the amount of electricity generated by each exercise equipment in real time and tallys up the amount of electricity generated. The providing unit is realized by the display 343 of the headset-type terminal 314, and displays how much electricity has been generated by the user exercising. The supply unit is realized by the specific processing unit 290 of the data processing device 12, and supplies the generated electricity to the power grid and sells it to the power company. === Hard Collateral 1-4 === Each of the multiple elements including the exercise equipment, energy management system, providing unit, and supply unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the exercise equipment is controlled by a control unit 46A of the robot 414, and a generator rotates and generates electricity when the user exercises. The energy management system is realized by a specific processing unit 290 of the data processing device 12, and monitors the amount of electricity generated by each exercise equipment in real time and tallys up the amount of electricity generated. The providing unit is realized by a display of the robot 414, and displays how much electricity has been generated by the user exercising. The supply unit is realized by the specific processing unit 290 of the data processing device 12, and supplies the generated electricity to a power grid and sells it to a power company.

[0107] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0108] Fitness centers can provide personalized exercise programs based on users' exercise data. For example, they can analyze a user's past exercise history and suggest the most appropriate exercise program. They can also monitor the user's heart rate and calorie consumption in real time during exercise and adjust exercise intensity accordingly. Furthermore, they can visually display the user's progress based on their exercise goals. This allows users to receive the most appropriate exercise program and maximize the benefits of their exercise.

[0109] The fitness center can estimate the user's emotions and customize the exercise program based on the estimated emotions. For example, if the user is feeling stressed, a relaxing exercise program can be provided. If the user is feeling energetic, a challenging exercise program can be provided. Furthermore, if the user is tired, a light exercise program can be recommended. This allows for more effective exercise by providing an exercise program that matches the user's emotions.

[0110] Fitness centers can automatically generate maintenance schedules based on the usage of exercise equipment. For example, they can monitor the usage time and load of exercise equipment and notify users of the optimal maintenance period. They can also analyze the performance data of exercise equipment and recommend maintenance if deterioration is detected. They can also record maintenance history and predict when the next maintenance will be required. This allows for more efficient operation of exercise equipment.

[0111] The fitness center can link with the user's exercise data to help with health management. For example, it can compare the user's heart rate and calorie consumption with the exercise data to evaluate their health condition. It can also suggest optimal exercise programs based on the user's exercise history. Furthermore, it can use the exercise data as an indicator for health management based on the user's health data. This can support the user's health management.

[0112] The fitness center can estimate the user's emotions and recommend exercise equipment usage time based on the estimated emotions. For example, if the user is feeling stressed, a short, relaxing exercise can be recommended. If the user is feeling energetic, a long, high-intensity exercise can be recommended. Furthermore, if the user is tired, a short, light exercise can be recommended. In this way, by recommending exercise equipment usage time according to the user's emotions, more effective exercise can be achieved.

[0113] Fitness centers can optimize their energy usage plans based on the amount of power generated by exercise equipment. For example, the power generation data for each piece of exercise equipment can be analyzed to create an optimal energy usage plan. It is also possible to propose an efficient energy usage plan based on the energy balance of the entire fitness center. Furthermore, it is also possible to analyze past power generation data and optimize future energy usage plans. This allows for efficient energy use.

[0114] The fitness center can estimate the user's emotions and customize the display content of the energy management system based on the estimated emotions. For example, if the user is relaxed, simple, highly visible display content can be provided. If the user is feeling energetic, detailed energy balance information can be provided. Furthermore, if the user is feeling stressed, visually relaxing display content can be provided. This allows for a more user-friendly energy management system by providing display content that corresponds to the user's emotions.

[0115] Fitness centers can optimize the power generation of exercise equipment by linking it with other fitness equipment. For example, the power generation of treadmills and bicycles can be monitored in real time to optimize overall power generation efficiency. It is also possible to compare the power generation of each piece of exercise equipment and prioritize the use of the most efficient equipment. Furthermore, the power generation of all exercise equipment in a fitness center can be aggregated to enable optimal energy management. This allows power generation to be optimized by linking it with other fitness equipment.

[0116] The fitness center can estimate the user's emotions and adjust the display method of the power generation amount based on the estimated emotions. For example, if the user is relaxed, a simple and highly visible display method can be provided. If the user is feeling energetic, detailed power generation information can be provided. Furthermore, if the user is feeling stressed, a display method that visually relaxes the user can be provided. This allows for a more user-friendly display by providing a display method that corresponds to the user's emotions.

[0117] The fitness center can display the degree of achievement of the amount of power generation in conjunction with the user's exercise goals. For example, the degree of achievement of the amount of power generation relative to the user's exercise goals can be displayed in a graph. The fitness center can also compare the amount of power generation with the user's exercise goals and visually display the degree of achievement. Furthermore, the fitness center can display the degree of achievement of the amount of power generation in real time based on the user's exercise goals. In this way, the fitness center can visually display the degree of achievement of the amount of power generation in conjunction with the user's exercise goals.

[0118] The processing flow of the second embodiment will be briefly explained below.

[0119] Step 1: Exercise equipment includes treadmills and bicycles that incorporate a generator. When the user exercises, the generator rotates and generates electricity. For example, with a treadmill, the belt rotates as the user runs, causing the generator to generate electricity. Similarly, with a bicycle, the generator rotates as the user pedals, generating electricity. Step 2: The energy management system aggregates the electricity generated by the exercise equipment and manages the energy balance of the entire fitness center. The energy management system monitors the amount of electricity generated by each piece of exercise equipment in real time and aggregates the amount of electricity generated. For example, the energy management system aggregates the amount of electricity generated by treadmills and bicycles and manages the energy balance of the entire fitness center. Step 3: The providing unit provides the amount of power generated, calculated by the energy management system, to the user. The providing unit displays the amount of power generated on the display of the treadmill or bicycle. For example, the providing unit displays on the display how much power the user generated by exercising. Step 4: The supply unit supplies the amount of power generated that has been aggregated by the energy management system to the power grid. The supply unit sells the generated power to the power company. For example, the supply unit supplies the generated power to the power grid and earns revenue by selling it to the power company.

[0120] 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.

[0121] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0122] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0123] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0124] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0125] 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.

[0126] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0127] 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.

[0128] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0129] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0130] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0131] 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.

[0132] 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.

[0133] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0134] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0135] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0136] 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.

[0137] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0138] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0139] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0140] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0141] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0142] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0143] 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.

[0144] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0145] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0146] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0147] 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.

[0148] 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.

[0149] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0150] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0151] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0152] 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.

[0153] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0154] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0155] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0156] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0157] 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.

[0158] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0159] 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.

[0160] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0161] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0162] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0163] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0164] 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.

[0165] 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.

[0166] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0167] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0168] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0169] 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.

[0170] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0171] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0172] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0173] 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.

[0174] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0175] 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.

[0176] 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).

[0177] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0178] 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."

[0179] 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.

[0180] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0185] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0186] 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.

[0187] 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.

[0188] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0189] 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.

[0190] 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.

[0191] [Explanation of symbols]

[0192] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. Exercise equipment incorporating a generator, an energy management system that aggregates the power generated by the exercise equipment; a providing unit that provides a user with the amount of power generation compiled by the energy management system; a supply unit that supplies the power generation amount collected by the energy management system to a power net; Equipped with A system characterized by:

2. The exercise equipment includes: Includes treadmills and bicycles 2. The system of claim 1.

3. The energy management system includes: Real-time monitoring of power generation from each exercise machine 2. The system of claim 1.

4. The providing unit Shows energy yield on treadmill or bike display 2. The system of claim 1.

5. The supply unit includes: Selling the generated electricity to the power company 2. The system of claim 1.

6. The energy management system includes: Manage the energy balance of your entire fitness center 2. The system of claim 1.

7. The exercise equipment incorporating the generator is Estimating a user's emotion and adjusting the load of exercise equipment based on the estimated user's emotion 2. The system of claim 1.

8. The exercise equipment incorporating the generator is To improve the power generation efficiency of exercise equipment, the exercise patterns of the user are analyzed and an efficient exercise program is provided.

2. The system of claim 1.

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