system

Abstract

We provide the system. [Solution] A means for a remote information processing device to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined standard value, and connect the predetermined mobile communication device to the remote information processing device or another network via the other mobile communication device, Means for transmitting instructions to the selected other mobile communication device to perform a relay function, A means for calculating a reward for the relay function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the relay function, To improve the stability of the city's public telecommunications network, a means of optimizing the network across the entire region is employed, by selecting the optimal relay equipment based on the results of a signal strength evaluation. A means of providing a reward usable for local services to a device that performs a relay function, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Wireless communication using a mobile communication device has a problem that its radio wave state is greatly affected by the surrounding environment, and in some cases, it is difficult to establish a network connection. Especially when the user is located inside a subway car or in a deep part of a building, the interruption of communication and the deterioration of quality are remarkable in situations where radio wave interference is likely to occur. It is required to ensure stable communication means even in such an environment.

Means for Solving the Problems

[0005] This invention provides a system that allows a mobile communication device that detects radio wave conditions below a certain standard value to relay its own communication via another nearby mobile communication device with better radio wave conditions. This system sends a relay instruction to a relay-capable device selected by a remote information processing device and rewards the relay device after the communication is completed. In this way, it is possible to provide a highly convenient communication environment for users while increasing the value of devices that cooperate in relaying.

[0006] A "remote information processing system" is a central management system that processes information sent from multiple mobile communication devices and determines the appropriate communication path and relay.

[0007] A "mobile communication device" generally refers to a portable device that can communicate using a wireless network, such as a mobile phone or smartphone.

[0008] "Radio wave conditions" are indicators that show the strength and quality of radio waves currently available to mobile communication devices, and they affect the stability and speed of communication.

[0009] A "relay function" is a function that allows a specific mobile communication device to receive data from another device and forward it to another device or network.

[0010] A "reference value" is a threshold value used when evaluating radio wave conditions to determine whether or not communication can be performed normally.

[0011] "Reward" refers to an incentive given to a mobile communication device that performs a relay function as compensation for communication cooperation. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0013] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units 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), and the like.

[0016] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the 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.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] This invention provides a system that achieves stable network connectivity by relaying communications when the radio waves from mobile communication devices are unstable. This system operates around a remote information processing device, or server. The server periodically receives information about the radio wave conditions from each mobile communication device and records it in a database. Based on this, the server can determine the location and signal strength of each mobile communication device and calculate the optimal relay path in real time.

[0034] A terminal experiencing unstable communication conditions notifies the server that its signal strength has fallen below a certain threshold. The server evaluates the signal strength of other mobile communication devices located around the terminal and selects the device best suited for relaying the communication. After selection, the server sends a relay instruction to the relay terminal, which then prepares to forward communications from other terminals through itself.

[0035] For users, the key feature is the ability to use the internet smoothly without interruption. For example, consider a scenario where user A is watching a streaming video in a subway tunnel and the signal weakens, threatening to interrupt the connection. At this time, the server detects that user B's terminal, located nearby, has a good signal and sends a relay instruction to user B. User B's terminal relays user A's communication, allowing user A to continue watching the video.

[0036] Furthermore, mobile communication devices that provide relay functionality will be rewarded later. The system is designed so that users can see their rewards and be incentivized to participate in further relay activities. Through this process, the system aims to provide users with a stable communication environment and optimize the use of network resources.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The server receives radio wave status and location information periodically transmitted from each terminal and records it in a database. This allows the server to understand the current communication status of each terminal.

[0040] Step 2:

[0041] When a device detects that its signal strength has fallen below a certain threshold, it notifies the server of this information. The server then recognizes that the device in this state requires assistance.

[0042] Step 3:

[0043] The server checks the signal strength data of other devices located around the notified device and identifies devices with good signal strength. This prepares the server to select a suitable relay candidate.

[0044] Step 4:

[0045] The server selects a suitable terminal for relaying and sends a relay instruction to that terminal. The terminal that receives the relay instruction configures its communication settings for relaying according to the instructions from the server.

[0046] Step 5:

[0047] The terminal begins operating as a relay, receiving communication data from terminals with poor signal strength and forwarding it to another device. At this stage, the user can continue using the service without experiencing any particular communication delay.

[0048] Step 6:

[0049] Once communication is complete, information about the resources used for relaying is sent to the server. The server uses this information to calculate rewards and distributes incentives to the relay terminals.

[0050] Step 7:

[0051] Users can see the rewards they've earned through the app, which motivates them to cooperate in future broadcasts. This allows the server to quickly secure cooperation for the next broadcast.

[0052] (Example 1)

[0053] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0054] There is a problem in that mobile communication devices cannot maintain a continuous and stable network connection when outside of coverage area or in unstable communication environments. This situation can lead to a degraded user experience and the interruption of critical communications, and is particularly noticeable in environments where radio wave conditions are prone to deterioration. Therefore, it is necessary to improve the stability of communications, especially in situations with a high volume of mobile activity and in urban areas.

[0055] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0056] In this invention, the server includes means for detecting the communication status of a mobile communication device, selecting another nearby mobile communication device that is available when the status falls below a predetermined threshold, and connecting the selected communication device via the other device; means for transmitting instructions to the selected other mobile communication device to perform a communication function; and means for calculating a reward for the communication function used after the communication is completed and awarding the reward to the device that performed the function. This enables the mobile communication device to maintain a continuous and reliable network connection even in an unstable communication environment.

[0057] A "remote information processing system" is a computer system used to process and manage data located in a remote location via a network.

[0058] A "mobile communication device" is a portable device that can perform wireless communication using radio waves, and includes smartphones and tablets.

[0059] "Communication status" is an indicator that shows the strength and quality of radio waves that a mobile communication device can transmit and receive.

[0060] A "reference value" is a predetermined threshold used to determine whether the communication status is good or bad.

[0061] "Other nearby mobile communication devices" refers to other mobile communication devices that are located near a mobile communication device with an unstable communication status and are capable of communicating.

[0062] "Communication function" refers to the means and processes for sending and receiving data and exchanging information.

[0063] "Sending instructions" refers to the act of electronically transmitting commands to another device to perform a specific action.

[0064] "Reward" refers to payment or bonus for performing communication functions.

[0065] "Communication resources" refer to the hardware, software, networks, and other elements necessary to perform data communication.

[0066] "Motivation" refers to incentives or rewards offered to encourage specific behaviors.

[0067] This system provides a stable network connection via other mobile communication devices when communication from one mobile communication device becomes unstable. The following describes an embodiment of this system in detail.

[0068] The server runs a program to periodically receive signal strength and location information from multiple mobile communication devices. The server stores this information in a large database management system (e.g., MySQL® or PostgreSQL) and monitors the communication status of each device in real time. In this process, the server plays a role in detecting devices whose signal strength falls below a certain threshold.

[0069] A terminal experiencing unstable communication has a function that allows it to notify a server of its communication status. Upon receiving this notification, the server selects a device with a good signal strength from among other mobile communication devices in the vicinity. The selected device relays data from the other device according to a protocol for communication relay (e.g., TCP / IP). In this way, the terminal can compensate for its own unstable communication status.

[0070] For users, this system guarantees a smooth communication experience in their daily lives. As a concrete example, consider a scenario where user A is watching a video on the subway. Even if communication is about to be interrupted, the server can continuously provide data to user A through the terminal of another user, user B.

[0071] Furthermore, the system has a function to reward devices that provide relays. This reward is notified to the device owner as an incentive, encouraging them to participate in further relays.

[0072] Examples of prompts for a generative AI model:

[0073] "Design a system to relay communications when the radio waves from mobile communication devices are unstable. Explain in detail how this system will ensure smooth communication between users."

[0074] This system enhances the stability of network connections through this process, enabling it to provide users with a highly reliable communication environment.

[0075] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0076] Step 1:

[0077] Monitoring of radio wave conditions

[0078] The device continuously monitors its own radio wave conditions. Specifically, a built-in communication module measures radio wave strength data in real time and collects this data at regular intervals. At this stage, the input is radio wave strength, and the output is the evaluation result of the radio wave conditions. If the radio wave conditions fall below a certain threshold, a warning flag is raised.

[0079] Step 2:

[0080] Warning status notification

[0081] If the terminal determines that the radio signal is unstable, it will notify the server of this status. This notification is made using a specific protocol (e.g., an HTTP request). The input is a warning flag indicating that the signal has fallen below a certain threshold, and the output is the notification to the server. Specifically, the terminal sends a packet containing the radio signal status to the server.

[0082] Step 3:

[0083] Evaluation of radio wave information and selection of relay terminals

[0084] The server receives notifications from terminals and evaluates the signal strength of other nearby terminals recorded in the database. Through this evaluation, the server selects the optimal relay terminal. The input is signal strength data of nearby terminals, and the output is the identification information of the selected relay terminal. In operation, the server uses an algorithm to compare the signal strength of each terminal and selects the terminal with the best conditions.

[0085] Step 4:

[0086] Sending relay instructions

[0087] The server sends a relay instruction to the selected relay terminal. This instruction contains information on which communication data should be relayed. The input is the identification information of the selected terminal and the data to be relayed, and the output is the completion of the relay instruction transmission. Specifically, the server structures the relay instruction in JSON format or similar and sends it to the terminal via the network.

[0088] Step 5:

[0089] Preparation and execution of the broadcast

[0090] The relay terminal prepares for relaying based on instructions received from the server. This includes configuring the relay path and establishing the necessary communication protocols. The input is the relay instruction from the server, and the output is the state in which relaying has started. In terms of operation, it adjusts the network settings and begins receiving and transmitting data.

[0091] Step 6:

[0092] Communication relay and reward calculation

[0093] The relay terminal forwards communication data to the designated receiving terminal. After the communication is complete, the server calculates a reward based on the resources used for relaying and their effect, and awards it to the relay terminal. The input is the log data of the relay communication, and the output is the reward. Specifically, the server measures the amount of communication and time, and calculates the reward according to the set criteria.

[0094] (Application Example 1)

[0095] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0096] In modern urban environments, the instability of public communication networks negatively impacts people's digital lifestyles. Network stability is particularly crucial in urban areas where radio wave conditions tend to deteriorate, and during events. Furthermore, there is the challenge of providing appropriate incentives for the provision of relay equipment.

[0097] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0098] This invention includes means for a server to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available when the status falls below a predetermined standard value, and secure a connection through that device; means for transmitting an instruction to the selected other mobile communication device to perform a relay function; and means for providing the device that performed the relay function with a reward that can be used for local services. This makes it possible to improve the stability of the local communication network and provide rewards to relay devices.

[0099] A "remote information processing system" is a central system for processing data located remotely and managing communication status.

[0100] A "mobile communication device" refers to a device that can communicate regardless of location, such as a mobile phone or tablet.

[0101] "Radio wave conditions" are indicators that show the strength and quality of signals in wireless communication.

[0102] A "reference value" is the minimum signal strength value required to judge the quality of communication.

[0103] A "relay function" is a function that temporarily maintains communication by transferring radio waves through another communication terminal.

[0104] "Reward" refers to the incentive or benefit given to the device that provides the relay function.

[0105] A "public telecommunications network" is infrastructure that is shared across a region or city and used by many people.

[0106] "Stability" is an indicator of the degree to which a communication system can be reliably and consistently available.

[0107] An "incentive" is a motivating factor or reward offered to encourage a particular behavior.

[0108] "Local services" refers to all public, commercial, or personal services provided within a specific area.

[0109] As an embodiment of this invention, a relay system can be constructed to optimize the communication infrastructure of a smart city. This system operates with a remote information processing device (server) at its core. The server monitors the radio wave conditions of mobile communication devices (smartphones and tablets) in real time, and if they fall below a certain threshold, it selects a nearby communication device to act as a relay, thereby maintaining communication stability. The server sends an instruction to the selected relay device to perform the relay function, and the device is rewarded for providing the relay function.

[0110] The server uses a Python program to collect radio wave data and implements an algorithm to determine the appropriate relay provider. This program uses SQL or similar database management systems to support database operations. The server aggregates radio wave strength information and calculates the optimal communication path. Communication terminals are typically smartphones and tablets running Android® or iOS, and Linux® servers often handle data processing.

[0111] As a concrete example, consider a scenario where participants use free Wi-Fi during an event held in a city square. Because congestion is expected to worsen the signal strength, the server can use the communication devices of nearby electric scooters as temporary relay points. In this way, participants can use the internet smoothly.

[0112] A possible example of a specific prompt for a generative AI model would be, "Please provide Python code to implement a method for a device with an unstable radio signal to use surrounding devices as relays."

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The server receives radio wave condition information from multiple mobile communication devices. The input includes the identification information and signal strength of each communication device. This information is classified and recorded using a database, preparing it for subsequent processing.

[0116] Step 2:

[0117] The server uses information retrieved from the database to analyze radio wave conditions in real time. The input is recorded radio wave intensity data, and the output generates a list of devices whose radio waves are below a certain threshold. The server analyzes this list to identify unstable devices.

[0118] Step 3:

[0119] The server selects the most suitable relay device for the identified unstable communication device. This selection utilizes information on the radio wave conditions of other mobile communication devices in the database. A list of surrounding radio wave conditions is used as input, and the identification information of the selected relay device is obtained as output. The server uses an algorithm to determine the optimal relay device.

[0120] Step 4:

[0121] The server sends a relay instruction to the selected relay device. The relay device receives the communication from the designated unstable device and prepares to forward it to another network. The input for sending the instruction is the relay device's identification information, and the output is confirmation that it is ready.

[0122] Step 5:

[0123] After communication is complete, the server verifies the execution of the relay function and calculates the reward based on the results. It uses the execution time and communication quality data of the relay device as input and determines the amount of reward to be awarded as output.

[0124] Step 6:

[0125] The server rewards the devices that provided relay functionality. Rewards are often provided as currency or points usable for local services. A digital transaction system is used to verify that the rewards have been correctly awarded.

[0126] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0127] This invention provides a more comfortable communication experience by compensating for the instability of radio wave conditions in mobile communication devices and by recognizing and reflecting the user's emotional state. This system is implemented through a combination of a remote information processing device (server) and an emotion engine installed in the mobile communication device.

[0128] The server has the function of updating its database based on radio wave conditions and location information received from mobile communication devices, as well as user emotion information extracted by the emotion engine. This allows the server to understand the communication status of each terminal and the user's emotions in real time and provide the optimal relay method.

[0129] The device has a built-in emotion engine that analyzes data acquired from devices such as the camera and microphone to measure the user's current emotional state. The emotions detected by the emotion engine include states such as stress, anger, and joy, and this information is an important factor in determining the priority of communication.

[0130] Let's consider a scenario where a user is experiencing stress, for example, during a meeting or while traveling. In this case, the emotion engine detects the high stress level and sends that information to the server. The server then prioritizes the user's communication to prevent interruptions and sends instructions to the terminal to optimize the relay path.

[0131] Furthermore, other devices providing communication resources are notified of rewards in real time, providing an incentive for cooperation. This ensures efficient use of network resources and promotes coordinated operation between devices.

[0132] As a concrete example, consider a scenario where a user is trying to join an urgent meeting on the subway, but the normal signal strength is insufficient. The emotion engine detects the user's urgent emotions, and the server utilizes the resources of other nearby terminals to ensure communication. This allows the user to continue participating in the meeting without delay. In this way, the present invention provides a more flexible communication method that adapts to the individual circumstances of the user compared to conventional communication systems.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] The device uses an emotion engine to analyze data from the camera and microphone to measure the user's emotional state in real time. This data, along with radio wave status data, is then put into a processing state within the device.

[0136] Step 2:

[0137] The device periodically transmits current radio wave conditions and user sentiment data to the server. The server receives this data and stores it in a database, enabling real-time analysis.

[0138] Step 3:

[0139] The server analyzes the received radio signal strength and user sentiment data to evaluate relay methods for terminals with unstable communication. Based on the sentiment data, it determines the priority of communication.

[0140] Step 4:

[0141] If a user's emotions reach a certain threshold, such as a high stress level, the server decides to prioritize communication with that terminal. This ensures stable communication.

[0142] Step 5:

[0143] The server checks the radio wave conditions of other terminals near the user terminal and selects the optimal relay device. The server then sends an instruction to the selected terminal to start the relay function.

[0144] Step 6:

[0145] The relay terminal receives relay instructions and performs the necessary communication settings. It receives communication data from the user's terminal and completes the preparation for smooth transfer.

[0146] Step 7:

[0147] Once the communication is complete, the server aggregates the resources used by the terminals involved in the relay and calculates the reward. The calculated reward is notified to the relay terminal in real time.

[0148] Step 8:

[0149] Users can check their rewards and communication status through the application. This allows the server to quickly obtain cooperation for the next relay.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] In mobile communication environments, there are challenges in providing an efficient and comfortable communication experience while considering user stress and emotional state, even in situations with unstable radio wave conditions. Furthermore, there are challenges in ensuring transparency and fairness in compensation for other mobile communication devices acting as relays, thereby increasing incentives.

[0153] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0154] In this invention, the server includes means for measuring environmental information and psychological state of a mobile communication device, analyzing the information, and transmitting it to a remote information processing device; means for optimizing the communication path and transmitting preferential communication instructions to a predetermined mobile communication device based on the emotional state received by the remote information processing device; and means for receiving real-time instructions for other selected mobile devices to perform a communication relay function and improving the communication environment. As a result, users are provided with an optimal communication environment tailored to their individual circumstances, communication interruptions are prevented, and cooperating terminals are given fair rewards, thus enabling efficient use of network resources.

[0155] A "mobile communication device" is a device that a user can carry with them and that performs wireless communication, and has the function of sending and receiving voice and data.

[0156] "Environmental information" refers to data that indicates the physical and radio wave conditions in which a mobile communication device exists, and includes location information and radio wave strength.

[0157] "Psychological state" refers to information that indicates the user's emotional state, with mental conditions such as stress, joy, and anger being quantified.

[0158] A "remote information processing device" is a device for managing and processing information via a network, and has functions for optimizing communication and updating databases.

[0159] A "communication path" is the route of connection selected to transmit data from a mobile communication device to a remote information processing device or other network.

[0160] A "relay function" is a temporary communication support function that other mobile communication devices possess to forward communications to a different route.

[0161] "Reward" refers to the payment given to mobile communication devices that provide relay functionality, and serves as an incentive for providing that functionality.

[0162] "Incentive" is a concept that refers to the stimulus or reward that motivates other mobile communication devices to perform relay functions.

[0163] This invention relates to a communication system using a mobile communication device and a remote information processing device, which provides an optimized communication environment by considering the user's emotional state. The terminal is equipped with an emotion engine that analyzes audio and image data acquired using devices such as a camera and microphone. Through this analysis, the user's emotional state, such as stress or joy, is numerically evaluated.

[0164] The terminal collects current radio wave conditions and location information along with this emotional information and transmits it to a server, which is a remote information processing device. The server updates its database based on this data and accurately understands the real-time status of each terminal. Furthermore, it uses a generative AI model to calculate the optimal communication path and adjusts communication priority by using other mobile communication devices as relays as needed.

[0165] As a concrete example, consider a scenario where a user is participating in an urgent meeting on the subway. Even if the normal signal strength is insufficient, the emotion engine detects the user's level of tension and sends this information to the server. The server then utilizes the resources of other nearby devices to ensure stable communication. This operation allows the user to continue participating in the meeting without delay.

[0166] Another example of a prompt is, "When the radio signal strength of a mobile communication device is unstable, please tell me how to prioritize and optimize communication by reflecting the user's emotional state." By inputting this prompt into the generating AI model, detailed suggestions and improvement proposals for the system can be obtained.

[0167] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0168] Step 1:

[0169] The device uses its camera and microphone to acquire the user's voice and video data. This data is used as input for the emotion engine. The emotion engine applies voice analysis and image processing algorithms to quantify stress and joy levels. This quantified emotion data is then generated as output.

[0170] Step 2:

[0171] Users use their devices daily without consciously thinking about it. During this process, location information and signal strength are automatically recorded. This data is combined with emotional data and prepared for processing in the next step.

[0172] Step 3:

[0173] The terminal formats the aggregated data (emotional state, location information, signal strength) into packets and sends them to the server. These packets function as input data indicating the terminal's current status.

[0174] Step 4:

[0175] The server analyzes data packets received from the terminal and updates the database. Using a generative AI model, it performs data calculations to determine the optimal communication path based on emotional state and radio wave conditions. This results in the output of communication path optimization information.

[0176] Step 5:

[0177] The server sends calculated communication path optimization information to the terminal. The terminal updates its settings based on this information to ensure priority communication. Based on this output, the user can obtain a stable connection environment.

[0178] Step 6:

[0179] The server sends real-time instructions to other mobile communication devices to provide relay functionality. Furthermore, after communication is complete, it calculates a reward for the relay function and notifies the device of the result. This provides an incentive to relay devices and promotes efficient network operation.

[0180] (Application Example 2)

[0181] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0182] In today's communication environment, the radio wave conditions of mobile communication devices are not always stable, and communication can be particularly difficult inside buildings. Furthermore, while users demand more personalized information, they often do not receive appropriate support tailored to their emotional state. This makes improving the customer experience a challenge, especially in retail environments.

[0183] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0184] This invention includes a server that detects the radio wave status of a predetermined mobile communication device to a remote information processing device, selects another nearby mobile communication device that is available if the status falls below a predetermined threshold, and connects the predetermined mobile communication device to the remote information processing device or other communication network via the other mobile communication device; a server that transmits instructions to the selected other mobile communication device to perform a relay function; a server that calculates a reward for the relay function used after the communication is completed and grants the reward to the mobile communication device that performed the relay function; and a server that collects the user's emotional information using an emotional analysis engine in a store environment and presents personalized information based on the collected emotional information. This makes it possible to optimize communication according to the user's emotional state and to improve the customer experience in a store environment.

[0185] A "remote information processing device" is a computer system that is connected via a communication network and performs data reception, transmission, and processing.

[0186] A "mobile communication device" is a terminal that can connect to a network while on the move using wireless communication, such as a mobile phone or smartphone.

[0187] "Radio wave conditions" refer to indicators that represent the connection characteristics of wireless communication, such as signal strength and quality.

[0188] A "relay function" is a function that transmits communication data via other communication devices.

[0189] An "emotion analysis engine" is a software system that estimates a user's psychological state and emotions from data such as their voice and facial expressions.

[0190] "Emotional information" refers to data that indicates an individual's current psychological state, including, for example, joy, anger, and stress.

[0191] "Personalized information" refers to information that is customized according to the preferences and circumstances of a particular user.

[0192] "Reward" refers to an incentive given to a mobile communication device that provides relay functionality as payment for that service.

[0193] The system implementing this invention consists of a mobile communication device, an emotion analysis engine, and a remote information processing device (server). This enables optimized communication and personalized information delivery.

[0194] The server receives radio wave conditions and emotion information from mobile communication devices and analyzes them in real time based on a database. The software used is an emotion analysis engine composed of facial expression recognition models such as TENSORFLOW®. A real-time database such as Firebase is used for data management. Even if the user's radio wave conditions are unstable, the server selects an appropriate relay path and instructs the relay function to continue communication using other nearby mobile communication devices. Furthermore, when the relay function is executed, the server awards a reward to the corresponding device.

[0195] The emotion analysis engine built into the device uses hardware such as the camera and microphone to monitor the user's emotional state in real time. Based on this emotional information, the server generates personalized information and sends it as a push notification to the user's smartphone or smart glasses. Furthermore, when the user is in a store environment, the emotional information is used to make optimal product recommendations and for store staff to intervene accordingly.

[0196] For example, the system might analyze a user's facial expressions while they are browsing products in a store and provide additional information about the products they are interested in. If a user feels stressed, they can send a notification to a store employee indicating they need support.

[0197] Example of a prompt:

[0198] "Please tell me how to design an algorithm that analyzes a user's facial expression data while they are viewing a product on their smartphone, detects their interest and anxiety, and then push notifications with information that will capture their interest in real time."

[0199] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0200] Step 1:

[0201] The device uses its camera and microphone to capture the user's facial expressions and voice data. Real-time video and audio data are taken in as input. This data is analyzed by an emotion analysis engine, which outputs emotional states such as stress and joy. Specifically, it uses a TensorFlow facial expression recognition model to analyze facial feature points and identify emotions.

[0202] Step 2:

[0203] The device sends its analyzed emotional state to the server, along with its current signal strength and location information. The inputs are emotional information, signal strength, and location data. The server receives this data and records it in a real-time database. If the emotional state is urgent, preparations are made to immediately optimize the relay path. Specifically, data is updated on Firebase, and warnings are issued as needed.

[0204] Step 3:

[0205] If the received radio signal strength falls below a certain threshold, the server evaluates other nearby mobile communication devices and selects the optimal relay path. The inputs considered are the terminal's radio signal strength and a list of available communication devices in the vicinity. The server uses an algorithm to evaluate the relay capability of each device and selects the most efficient one. Specifically, it analyzes the signal strength and current load of other devices based on the algorithm to determine the appropriate relay destination.

[0206] Step 4:

[0207] The server sends an instruction to the selected mobile communication device to perform the relay function. The input includes the device ID and the relay instruction. The output is the activation of the relay function. Specifically, the instruction is sent to the device according to the communication protocol, and the relaying of data packets begins.

[0208] Step 5:

[0209] After communication is complete, the server calculates a reward for the device that performed the relay function and notifies the reward in real time. The inputs are the success status of the communication and the usage data of the relay device. The output is the reward information sent to the corresponding terminal. Specifically, the reward is calculated according to criteria retrieved from the database, and the reward is notified according to the notification protocol.

[0210] Step 6:

[0211] The server generates personalized information based on the user's emotional data and sends it to the device as a push notification. The input requires the results of the emotional analysis. The output is a push notification displayed to the user. Specifically, it compares the emotional data with the contents of a related database and automatically generates information that will interest the user.

[0212] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0213] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0214] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0215] [Second Embodiment]

[0216] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0217] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0218] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0219] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0220] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0221] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0222] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0223] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0224] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0225] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0226] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0227] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0228] This invention provides a system that achieves stable network connectivity by relaying communications when the radio waves from mobile communication devices are unstable. This system operates around a remote information processing device, or server. The server periodically receives information about the radio wave conditions from each mobile communication device and records it in a database. Based on this, the server can determine the location and signal strength of each mobile communication device and calculate the optimal relay path in real time.

[0229] A terminal experiencing unstable communication conditions notifies the server that its signal strength has fallen below a certain threshold. The server evaluates the signal strength of other mobile communication devices located around the terminal and selects the device best suited for relaying the communication. After selection, the server sends a relay instruction to the relay terminal, which then prepares to forward communications from other terminals through itself.

[0230] For users, the key feature is the ability to use the internet smoothly without interruption. For example, consider a scenario where user A is watching a streaming video in a subway tunnel and the signal weakens, threatening to interrupt the connection. At this time, the server detects that user B's terminal, located nearby, has a good signal and sends a relay instruction to user B. User B's terminal relays user A's communication, allowing user A to continue watching the video.

[0231] Furthermore, mobile communication devices that provide relay functionality will be rewarded later. The system is designed so that users can see their rewards and be incentivized to participate in further relay activities. Through this process, the system aims to provide users with a stable communication environment and optimize the use of network resources.

[0232] The following describes the processing flow.

[0233] Step 1:

[0234] The server receives radio wave status and location information periodically transmitted from each terminal and records it in a database. This allows the server to understand the current communication status of each terminal.

[0235] Step 2:

[0236] When a device detects that its signal strength has fallen below a certain threshold, it notifies the server of this information. The server then recognizes that the device in this state requires assistance.

[0237] Step 3:

[0238] The server checks the signal strength data of other devices located around the notified device and identifies devices with good signal strength. This prepares the server to select a suitable relay candidate.

[0239] Step 4:

[0240] The server selects a suitable terminal for relaying and sends a relay instruction to that terminal. The terminal that receives the relay instruction configures its communication settings for relaying according to the instructions from the server.

[0241] Step 5:

[0242] The terminal begins operating as a relay, receiving communication data from terminals with poor signal strength and forwarding it to another device. At this stage, the user can continue using the service without experiencing any particular communication delay.

[0243] Step 6:

[0244] Once communication is complete, information about the resources used for relaying is sent to the server. The server uses this information to calculate rewards and distributes incentives to the relay terminals.

[0245] Step 7:

[0246] Users can see the rewards they've earned through the app, which motivates them to cooperate in future broadcasts. This allows the server to quickly secure cooperation for the next broadcast.

[0247] (Example 1)

[0248] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0249] There is a problem in that mobile communication devices cannot maintain a continuous and stable network connection when outside of coverage area or in unstable communication environments. This situation can lead to a degraded user experience and the interruption of critical communications, and is particularly noticeable in environments where radio wave conditions are prone to deterioration. Therefore, it is necessary to improve the stability of communications, especially in situations with a high volume of mobile activity and in urban areas.

[0250] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0251] In this invention, the server includes means for detecting the communication status of a mobile communication device, selecting another nearby mobile communication device that is available when the status falls below a predetermined threshold, and connecting the selected communication device via the other device; means for transmitting instructions to the selected other mobile communication device to perform a communication function; and means for calculating a reward for the communication function used after the communication is completed and awarding the reward to the device that performed the function. This enables the mobile communication device to maintain a continuous and reliable network connection even in an unstable communication environment.

[0252] A "remote information processing system" is a computer system used to process and manage data located in a remote location via a network.

[0253] A "mobile communication device" is a portable device that can perform wireless communication using radio waves, and includes smartphones and tablets.

[0254] "Communication status" is an indicator that shows the strength and quality of radio waves that a mobile communication device can transmit and receive.

[0255] A "reference value" is a predetermined threshold used to determine whether the communication status is good or bad.

[0256] "Other nearby mobile communication devices" refers to other mobile communication devices that are located near a mobile communication device with an unstable communication status and are capable of communicating.

[0257] "Communication function" refers to the means and processes for sending and receiving data and exchanging information.

[0258] "Sending instructions" refers to the act of electronically transmitting commands to another device to perform a specific action.

[0259] "Reward" refers to payment or bonus for performing communication functions.

[0260] "Communication resources" refer to the hardware, software, networks, and other elements necessary to perform data communication.

[0261] "Motivation" refers to incentives or rewards offered to encourage specific behaviors.

[0262] This system provides a stable network connection via other mobile communication devices when communication from one mobile communication device becomes unstable. The following describes an embodiment of this system in detail.

[0263] The server runs a program to periodically receive signal strength and location information from multiple mobile communication devices. The server stores this information in a large database management system (e.g., MySQL or PostgreSQL) and monitors the communication status of each device in real time. In this process, the server plays a role in detecting devices whose signal strength falls below a certain threshold.

[0264] A terminal experiencing unstable communication has a function that allows it to notify a server of its communication status. Upon receiving this notification, the server selects a device with a good signal strength from among other mobile communication devices in the vicinity. The selected device relays data from the other device according to a protocol for communication relay (e.g., TCP / IP). In this way, the terminal can compensate for its own unstable communication status.

[0265] For users, this system guarantees a smooth communication experience in their daily lives. As a concrete example, consider a scenario where user A is watching a video on the subway. Even if communication is about to be interrupted, the server can continuously provide data to user A through the terminal of another user, user B.

[0266] Furthermore, the system has a function to reward devices that provide relays. This reward is notified to the device owner as an incentive, encouraging them to participate in further relays.

[0267] Examples of prompts for a generative AI model:

[0268] "Design a system to relay communications when the radio waves from mobile communication devices are unstable. Explain in detail how this system will ensure smooth communication between users."

[0269] This system enhances the stability of network connections through this process, enabling it to provide users with a highly reliable communication environment.

[0270] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0271] Step 1:

[0272] Monitoring of radio wave conditions

[0273] The device continuously monitors its own radio wave conditions. Specifically, a built-in communication module measures radio wave strength data in real time and collects this data at regular intervals. At this stage, the input is radio wave strength, and the output is the evaluation result of the radio wave conditions. If the radio wave conditions fall below a certain threshold, a warning flag is raised.

[0274] Step 2:

[0275] Warning status notification

[0276] When the terminal determines that the radio wave state is unstable, it notifies the server of this state. This notification is carried out using a specific protocol (e.g., HTTP request). The input is the warning flag when the reference value is exceeded, and the output is the notification to the server. As a specific operation, the terminal sends a packet containing the radio wave state to the server.

[0277] Step 3:

[0278] Evaluation of radio wave information and selection of relay terminal

[0279] The server receives the notification from the terminal and evaluates the radio wave states of other neighboring terminals recorded in the database. Through this evaluation, the server selects the optimal relay terminal. The input is the radio wave state data of neighboring terminals, and the output is the identification information of the selected relay terminal. As an operation, it uses an algorithm to compare the radio wave intensities of each terminal and selects the terminal with the best conditions.

[0280] Step 4:

[0281] Transmission of relay instruction

[0282] The server sends a relay instruction to the selected relay terminal. This instruction contains information on which communication data should be relayed. The input is the identification information of the selected terminal and the data to be relayed, and the output is the completion of the transmission of the relay instruction. As a specific operation, the server constructs the relay instruction in a JSON format or the like and sends it to the terminal via the network.

[0283] Step 5:

[0284] Relay preparation and execution

[0285] The relay terminal performs relay preparation based on the instructions received from the server. This includes setting the relay path and establishing the necessary communication protocols. The input is the relay instruction from the server, and the output is the start state of relay execution. As an operation, it adjusts the network settings and starts receiving and transmitting data.

[0286] Step 6:

[0287] Relay of communication and calculation of reward

[0288] The relay terminal transfers the communication data to the designated receiving terminal. After the completion of the communication, the server calculates the reward based on the resources used for the relay and its effects, and grants it to the relay terminal. The input is the log data of the relay communication, and the output is the reward. As a specific operation, the server measures the communication volume and time, and calculates the reward according to the set criteria.

[0289] (Application Example 1)

[0290] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0291] In the modern urban environment, the instability of the public communication network particularly has an adverse impact on people's digital lifestyles. Especially in urban areas where the radio wave situation is likely to deteriorate and during event held, the stability of the network is required. Also, there is a problem that it is difficult to present appropriate incentives for the provision of relay devices.

[0292] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0293] This invention includes means for a server to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available when the status falls below a predetermined standard value, and secure a connection through that device; means for transmitting an instruction to the selected other mobile communication device to perform a relay function; and means for providing the device that performed the relay function with a reward that can be used for local services. This makes it possible to improve the stability of the local communication network and provide rewards to relay devices.

[0294] A "remote information processing system" is a central system for processing data located remotely and managing communication status.

[0295] A "mobile communication device" refers to a device that can communicate regardless of location, such as a mobile phone or tablet.

[0296] "Radio wave conditions" are indicators that show the strength and quality of signals in wireless communication.

[0297] A "reference value" is the minimum signal strength value required to judge the quality of communication.

[0298] A "relay function" is a function that temporarily maintains communication by transferring radio waves through another communication terminal.

[0299] "Reward" refers to the incentive or benefit given to the device that provides the relay function.

[0300] A "public telecommunications network" is infrastructure that is shared across a region or city and used by many people.

[0301] "Stability" is an indicator of the degree to which a communication system can be reliably and consistently available.

[0302] An "incentive" is a motivating factor or reward offered to encourage a particular behavior.

[0303] "Regional services" refers to all public, commercial, or personal services provided within a specific region.

[0304] As an embodiment of this invention, a relay system for optimizing the communication infrastructure of a smart city can be constructed. This system operates centered around a telematics device (server). The server monitors the radio wave state of mobile communication devices (smartphones and tablets) in real time. When the value falls below the reference value, it selects surrounding communication devices as relays to maintain communication stability. An instruction to execute the relay function is sent from the server to the selected relay device, and a reward for providing the relay function is given to the device.

[0305] The server uses a Python program to collect radio wave state data and implements an algorithm to determine suitable relays. This program uses SQL or a similar database management system to support database operations. The server aggregates radio wave intensity information and performs processing to calculate the optimal communication path. Communication terminals are generally smartphones and tablets equipped with Android or iOS, and Linux servers often handle data processing.

[0306] As a specific example, consider the case where participants use free Wi-Fi during an event held in a city square. Since deterioration of the radio wave state due to congestion is predicted, the server can use the communication device of a nearby electric scooter as a temporary relay point. In this way, participants can smoothly access the Internet.

[0307] As an example of a specific prompt sentence for the generated AI model, "Please teach me the Python code to implement the method by which a device with unstable radio waves uses surrounding devices as relays." can be considered.

[0308] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0309] Step 1:

[0310] The server receives radio wave condition information from multiple mobile communication devices. The input includes the identification information and signal strength of each communication device. This information is classified and recorded using a database, preparing it for subsequent processing.

[0311] Step 2:

[0312] The server uses information retrieved from the database to analyze radio wave conditions in real time. The input is recorded radio wave intensity data, and the output generates a list of devices whose radio waves are below a certain threshold. The server analyzes this list to identify unstable devices.

[0313] Step 3:

[0314] The server selects the most suitable relay device for the identified unstable communication device. This selection utilizes information on the radio wave conditions of other mobile communication devices in the database. A list of surrounding radio wave conditions is used as input, and the identification information of the selected relay device is obtained as output. The server uses an algorithm to determine the optimal relay device.

[0315] Step 4:

[0316] The server sends a relay instruction to the selected relay device. The relay device receives the communication from the designated unstable device and prepares to forward it to another network. The input for sending the instruction is the relay device's identification information, and the output is confirmation that it is ready.

[0317] Step 5:

[0318] After communication is complete, the server verifies the execution of the relay function and calculates the reward based on the results. It uses the execution time and communication quality data of the relay device as input and determines the amount of reward to be awarded as output.

[0319] Step 6:

[0320] The server rewards the devices that provided relay functionality. Rewards are often provided as currency or points usable for local services. A digital transaction system is used to verify that the rewards have been correctly awarded.

[0321] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0322] This invention provides a more comfortable communication experience by compensating for the instability of radio wave conditions in mobile communication devices and by recognizing and reflecting the user's emotional state. This system is implemented through a combination of a remote information processing device (server) and an emotion engine installed in the mobile communication device.

[0323] The server has the function of updating its database based on radio wave conditions and location information received from mobile communication devices, as well as user emotion information extracted by the emotion engine. This allows the server to understand the communication status of each terminal and the user's emotions in real time and provide the optimal relay method.

[0324] The device has a built-in emotion engine that analyzes data acquired from devices such as the camera and microphone to measure the user's current emotional state. The emotions detected by the emotion engine include states such as stress, anger, and joy, and this information is an important factor in determining the priority of communication.

[0325] Let's consider a scenario where a user is experiencing stress, for example, during a meeting or while traveling. In this case, the emotion engine detects the high stress level and sends that information to the server. The server then prioritizes the user's communication to prevent interruptions and sends instructions to the terminal to optimize the relay path.

[0326] Furthermore, other devices providing communication resources are notified of rewards in real time, providing an incentive for cooperation. This ensures efficient use of network resources and promotes coordinated operation between devices.

[0327] As a concrete example, consider a scenario where a user is trying to join an urgent meeting on the subway, but the normal signal strength is insufficient. The emotion engine detects the user's urgent emotions, and the server utilizes the resources of other nearby terminals to ensure communication. This allows the user to continue participating in the meeting without delay. In this way, the present invention provides a more flexible communication method that adapts to the individual circumstances of the user compared to conventional communication systems.

[0328] The following describes the processing flow.

[0329] Step 1:

[0330] The device uses an emotion engine to analyze data from the camera and microphone to measure the user's emotional state in real time. This data, along with radio wave status data, is then put into a processing state within the device.

[0331] Step 2:

[0332] The device periodically transmits current radio wave conditions and user sentiment data to the server. The server receives this data and stores it in a database, enabling real-time analysis.

[0333] Step 3:

[0334] The server analyzes the received radio signal strength and user sentiment data to evaluate relay methods for terminals with unstable communication. Based on the sentiment data, it determines the priority of communication.

[0335] Step 4:

[0336] If a user's emotions reach a certain threshold, such as a high stress level, the server decides to prioritize communication with that terminal. This ensures stable communication.

[0337] Step 5:

[0338] The server checks the radio wave conditions of other terminals near the user terminal and selects the optimal relay device. The server then sends an instruction to the selected terminal to start the relay function.

[0339] Step 6:

[0340] The relay terminal receives relay instructions and performs the necessary communication settings. It receives communication data from the user's terminal and completes the preparation for smooth transfer.

[0341] Step 7:

[0342] Once the communication is complete, the server aggregates the resources used by the terminals involved in the relay and calculates the reward. The calculated reward is notified to the relay terminal in real time.

[0343] Step 8:

[0344] Users can check their rewards and communication status through the application. This allows the server to quickly obtain cooperation for the next relay.

[0345] (Example 2)

[0346] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0347] In mobile communication environments, there are challenges in providing an efficient and comfortable communication experience while considering user stress and emotional state, even in situations with unstable radio wave conditions. Furthermore, there are challenges in ensuring transparency and fairness in compensation for other mobile communication devices acting as relays, thereby increasing incentives.

[0348] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0349] In this invention, the server includes means for measuring environmental information and psychological state of a mobile communication device, analyzing the information, and transmitting it to a remote information processing device; means for optimizing the communication path and transmitting preferential communication instructions to a predetermined mobile communication device based on the emotional state received by the remote information processing device; and means for receiving real-time instructions for other selected mobile devices to perform a communication relay function and improving the communication environment. As a result, users are provided with an optimal communication environment tailored to their individual circumstances, communication interruptions are prevented, and cooperating terminals are given fair rewards, thus enabling efficient use of network resources.

[0350] A "mobile communication device" is a device that a user can carry with them and that performs wireless communication, and has the function of sending and receiving voice and data.

[0351] "Environmental information" refers to data that indicates the physical and radio wave conditions in which a mobile communication device exists, and includes location information and radio wave strength.

[0352] "Psychological state" refers to information that indicates the user's emotional state, with mental conditions such as stress, joy, and anger being quantified.

[0353] A "remote information processing device" is a device for managing and processing information via a network, and has functions for optimizing communication and updating databases.

[0354] A "communication path" is the route of connection selected to transmit data from a mobile communication device to a remote information processing device or other network.

[0355] A "relay function" is a temporary communication support function that other mobile communication devices possess to forward communications to a different route.

[0356] "Reward" refers to the payment given to mobile communication devices that provide relay functionality, and serves as an incentive for providing that functionality.

[0357] "Incentive" is a concept that refers to the stimulus or reward that motivates other mobile communication devices to perform relay functions.

[0358] This invention relates to a communication system using a mobile communication device and a remote information processing device, which provides an optimized communication environment by considering the user's emotional state. The terminal is equipped with an emotion engine that analyzes audio and image data acquired using devices such as a camera and microphone. Through this analysis, the user's emotional state, such as stress or joy, is numerically evaluated.

[0359] The terminal collects current radio wave conditions and location information along with this emotional information and transmits it to a server, which is a remote information processing device. The server updates its database based on this data and accurately understands the real-time status of each terminal. Furthermore, it uses a generative AI model to calculate the optimal communication path and adjusts communication priority by using other mobile communication devices as relays as needed.

[0360] As a concrete example, consider a scenario where a user is participating in an urgent meeting on the subway. Even if the normal signal strength is insufficient, the emotion engine detects the user's level of tension and sends this information to the server. The server then utilizes the resources of other nearby devices to ensure stable communication. This operation allows the user to continue participating in the meeting without delay.

[0361] Another example of a prompt is, "When the radio signal strength of a mobile communication device is unstable, please tell me how to prioritize and optimize communication by reflecting the user's emotional state." By inputting this prompt into the generating AI model, detailed suggestions and improvement proposals for the system can be obtained.

[0362] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0363] Step 1:

[0364] The device uses its camera and microphone to acquire the user's voice and video data. This data is used as input for the emotion engine. The emotion engine applies voice analysis and image processing algorithms to quantify stress and joy levels. This quantified emotion data is then generated as output.

[0365] Step 2:

[0366] Users use their devices daily without consciously thinking about it. During this process, location information and signal strength are automatically recorded. This data is combined with emotional data and prepared for processing in the next step.

[0367] Step 3:

[0368] The terminal formats the aggregated data (emotional state, location information, signal strength) into packets and sends them to the server. These packets function as input data indicating the terminal's current status.

[0369] Step 4:

[0370] The server analyzes data packets received from the terminal and updates the database. Using a generative AI model, it performs data calculations to determine the optimal communication path based on emotional state and radio wave conditions. This results in the output of communication path optimization information.

[0371] Step 5:

[0372] The server sends calculated communication path optimization information to the terminal. The terminal updates its settings based on this information to ensure priority communication. Based on this output, the user can obtain a stable connection environment.

[0373] Step 6:

[0374] The server sends real-time instructions to other mobile communication devices to provide relay functionality. Furthermore, after communication is complete, it calculates a reward for the relay function and notifies the device of the result. This provides an incentive to relay devices and promotes efficient network operation.

[0375] (Application Example 2)

[0376] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0377] In today's communication environment, the radio wave conditions of mobile communication devices are not always stable, and communication can be particularly difficult inside buildings. Furthermore, while users demand more personalized information, they often do not receive appropriate support tailored to their emotional state. This makes improving the customer experience a challenge, especially in retail environments.

[0378] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0379] This invention includes a server that detects the radio wave status of a predetermined mobile communication device to a remote information processing device, selects another nearby mobile communication device that is available if the status falls below a predetermined threshold, and connects the predetermined mobile communication device to the remote information processing device or other communication network via the other mobile communication device; a server that transmits instructions to the selected other mobile communication device to perform a relay function; a server that calculates a reward for the relay function used after the communication is completed and grants the reward to the mobile communication device that performed the relay function; and a server that collects the user's emotional information using an emotional analysis engine in a store environment and presents personalized information based on the collected emotional information. This makes it possible to optimize communication according to the user's emotional state and to improve the customer experience in a store environment.

[0380] A "remote information processing device" is a computer system that is connected via a communication network and performs data reception, transmission, and processing.

[0381] A "mobile communication device" is a terminal that can connect to a network while on the move using wireless communication, such as a mobile phone or smartphone.

[0382] "Radio wave conditions" refer to indicators that represent the connection characteristics of wireless communication, such as signal strength and quality.

[0383] A "relay function" is a function that transmits communication data via other communication devices.

[0384] An "emotion analysis engine" is a software system that estimates a user's psychological state and emotions from data such as their voice and facial expressions.

[0385] "Emotional information" refers to data that indicates an individual's current psychological state, including, for example, joy, anger, and stress.

[0386] "Personalized information" refers to information that is customized according to the preferences and circumstances of a particular user.

[0387] "Reward" refers to an incentive given to a mobile communication device that provides relay functionality as payment for that service.

[0388] The system implementing this invention consists of a mobile communication device, an emotion analysis engine, and a remote information processing device (server). This enables optimized communication and personalized information delivery.

[0389] The server receives radio wave conditions and emotion information from mobile communication devices and analyzes them in real time based on a database. The software used is an emotion analysis engine composed of facial expression recognition models such as TensorFlow. A real-time database such as Firebase is used for data management. Even if the user's radio wave conditions are unstable, the server selects an appropriate relay path and instructs the relay function to continue communication using other nearby mobile communication devices. Furthermore, when the relay function is executed, the server awards a reward to the corresponding device.

[0390] The emotion analysis engine built into the device uses hardware such as the camera and microphone to monitor the user's emotional state in real time. Based on this emotional information, the server generates personalized information and sends it as a push notification to the user's smartphone or smart glasses. Furthermore, when the user is in a store environment, the emotional information is used to make optimal product recommendations and for store staff to intervene accordingly.

[0391] For example, the system might analyze a user's facial expressions while they are browsing products in a store and provide additional information about the products they are interested in. If a user feels stressed, they can send a notification to a store employee indicating they need support.

[0392] Example of a prompt:

[0393] "Please tell me how to design an algorithm that analyzes a user's facial expression data while they are viewing a product on their smartphone, detects their interest and anxiety, and then push notifications with information that will capture their interest in real time."

[0394] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0395] Step 1:

[0396] The device uses its camera and microphone to capture the user's facial expressions and voice data. Real-time video and audio data are taken in as input. This data is analyzed by an emotion analysis engine, which outputs emotional states such as stress and joy. Specifically, it uses a TensorFlow facial expression recognition model to analyze facial feature points and identify emotions.

[0397] Step 2:

[0398] The device sends its analyzed emotional state to the server, along with its current signal strength and location information. The inputs are emotional information, signal strength, and location data. The server receives this data and records it in a real-time database. If the emotional state is urgent, preparations are made to immediately optimize the relay path. Specifically, data is updated on Firebase, and warnings are issued as needed.

[0399] Step 3:

[0400] If the received radio signal strength falls below a certain threshold, the server evaluates other nearby mobile communication devices and selects the optimal relay path. The inputs considered are the terminal's radio signal strength and a list of available communication devices in the vicinity. The server uses an algorithm to evaluate the relay capability of each device and selects the most efficient one. Specifically, it analyzes the signal strength and current load of other devices based on the algorithm to determine the appropriate relay destination.

[0401] Step 4:

[0402] The server sends an instruction to the selected mobile communication device to perform the relay function. The input includes the device ID and the relay instruction. The output is the activation of the relay function. Specifically, the instruction is sent to the device according to the communication protocol, and the relaying of data packets begins.

[0403] Step 5:

[0404] After communication is complete, the server calculates a reward for the device that performed the relay function and notifies the reward in real time. The inputs are the success status of the communication and the usage data of the relay device. The output is the reward information sent to the corresponding terminal. Specifically, the reward is calculated according to criteria retrieved from the database, and the reward is notified according to the notification protocol.

[0405] Step 6:

[0406] The server generates personalized information based on the user's emotional data and sends it to the device as a push notification. The input requires the results of the emotional analysis. The output is a push notification displayed to the user. Specifically, it compares the emotional data with the contents of a related database and automatically generates information that will interest the user.

[0407] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0408] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0409] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0410] [Third Embodiment]

[0411] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0412] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0413] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0414] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0415] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0416] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0417] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0418] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0419] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0420] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0421] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0422] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0423] This invention provides a system that achieves stable network connectivity by relaying communications when the radio waves from mobile communication devices are unstable. This system operates around a remote information processing device, or server. The server periodically receives information about the radio wave conditions from each mobile communication device and records it in a database. Based on this, the server can determine the location and signal strength of each mobile communication device and calculate the optimal relay path in real time.

[0424] A terminal experiencing unstable communication conditions notifies the server that its signal strength has fallen below a certain threshold. The server evaluates the signal strength of other mobile communication devices located around the terminal and selects the device best suited for relaying the communication. After selection, the server sends a relay instruction to the relay terminal, which then prepares to forward communications from other terminals through itself.

[0425] For users, the key feature is the ability to use the internet smoothly without interruption. For example, consider a scenario where user A is watching a streaming video in a subway tunnel and the signal weakens, threatening to interrupt the connection. At this time, the server detects that user B's terminal, located nearby, has a good signal and sends a relay instruction to user B. User B's terminal relays user A's communication, allowing user A to continue watching the video.

[0426] Furthermore, mobile communication devices that provide relay functionality will be rewarded later. The system is designed so that users can see their rewards and be incentivized to participate in further relay activities. Through this process, the system aims to provide users with a stable communication environment and optimize the use of network resources.

[0427] The following describes the processing flow.

[0428] Step 1:

[0429] The server receives radio wave status and location information periodically transmitted from each terminal and records it in a database. This allows the server to understand the current communication status of each terminal.

[0430] Step 2:

[0431] When a device detects that its signal strength has fallen below a certain threshold, it notifies the server of this information. The server then recognizes that the device in this state requires assistance.

[0432] Step 3:

[0433] The server checks the signal strength data of other devices located around the notified device and identifies devices with good signal strength. This prepares the server to select a suitable relay candidate.

[0434] Step 4:

[0435] The server selects a suitable terminal for relaying and sends a relay instruction to that terminal. The terminal that receives the relay instruction configures its communication settings for relaying according to the instructions from the server.

[0436] Step 5:

[0437] The terminal begins operating as a relay, receiving communication data from terminals with poor signal strength and forwarding it to another device. At this stage, the user can continue using the service without experiencing any particular communication delay.

[0438] Step 6:

[0439] Once communication is complete, information about the resources used for relaying is sent to the server. The server uses this information to calculate rewards and distributes incentives to the relay terminals.

[0440] Step 7:

[0441] Users can see the rewards they've earned through the app, which motivates them to cooperate in future broadcasts. This allows the server to quickly secure cooperation for the next broadcast.

[0442] (Example 1)

[0443] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0444] There is a problem in that mobile communication devices cannot maintain a continuous and stable network connection when outside of coverage area or in unstable communication environments. This situation can lead to a degraded user experience and the interruption of critical communications, and is particularly noticeable in environments where radio wave conditions are prone to deterioration. Therefore, it is necessary to improve the stability of communications, especially in situations with a high volume of mobile activity and in urban areas.

[0445] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0446] In this invention, the server includes means for detecting the communication status of a mobile communication device, selecting another nearby mobile communication device that is available when the status falls below a predetermined threshold, and connecting the selected communication device via the other device; means for transmitting instructions to the selected other mobile communication device to perform a communication function; and means for calculating a reward for the communication function used after the communication is completed and awarding the reward to the device that performed the function. This enables the mobile communication device to maintain a continuous and reliable network connection even in an unstable communication environment.

[0447] A "remote information processing system" is a computer system used to process and manage data located in a remote location via a network.

[0448] A "mobile communication device" is a portable device that can perform wireless communication using radio waves, and includes smartphones and tablets.

[0449] "Communication status" is an indicator that shows the strength and quality of radio waves that a mobile communication device can transmit and receive.

[0450] A "reference value" is a predetermined threshold used to determine whether the communication status is good or bad.

[0451] "Other nearby mobile communication devices" refers to other mobile communication devices that are located near a mobile communication device with an unstable communication status and are capable of communicating.

[0452] "Communication function" refers to the means and processes for sending and receiving data and exchanging information.

[0453] "Sending instructions" refers to the act of electronically transmitting commands to another device to perform a specific action.

[0454] "Reward" refers to payment or bonus for performing communication functions.

[0455] "Communication resources" refer to the hardware, software, networks, and other elements necessary to perform data communication.

[0456] "Motivation" refers to incentives or rewards offered to encourage specific behaviors.

[0457] This system provides a stable network connection via other mobile communication devices when communication from one mobile communication device becomes unstable. The following describes an embodiment of this system in detail.

[0458] The server runs a program to periodically receive signal strength and location information from multiple mobile communication devices. The server stores this information in a large database management system (e.g., MySQL or PostgreSQL) and monitors the communication status of each device in real time. In this process, the server plays a role in detecting devices whose signal strength falls below a certain threshold.

[0459] A terminal experiencing unstable communication has a function that allows it to notify a server of its communication status. Upon receiving this notification, the server selects a device with a good signal strength from among other mobile communication devices in the vicinity. The selected device relays data from the other device according to a protocol for communication relay (e.g., TCP / IP). In this way, the terminal can compensate for its own unstable communication status.

[0460] For users, this system guarantees a smooth communication experience in their daily lives. As a concrete example, consider a scenario where user A is watching a video on the subway. Even if communication is about to be interrupted, the server can continuously provide data to user A through the terminal of another user, user B.

[0461] Furthermore, the system has a function to reward devices that provide relays. This reward is notified to the device owner as an incentive, encouraging them to participate in further relays.

[0462] Examples of prompts for a generative AI model:

[0463] "Design a system to relay communications when the radio waves from mobile communication devices are unstable. Explain in detail how this system will ensure smooth communication between users."

[0464] This system enhances the stability of network connections through this process, enabling it to provide users with a highly reliable communication environment.

[0465] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0466] Step 1:

[0467] Monitoring of radio wave conditions

[0468] The device continuously monitors its own radio wave conditions. Specifically, a built-in communication module measures radio wave strength data in real time and collects this data at regular intervals. At this stage, the input is radio wave strength, and the output is the evaluation result of the radio wave conditions. If the radio wave conditions fall below a certain threshold, a warning flag is raised.

[0469] Step 2:

[0470] Warning status notification

[0471] If the terminal determines that the radio signal is unstable, it will notify the server of this status. This notification is made using a specific protocol (e.g., an HTTP request). The input is a warning flag indicating that the signal has fallen below a certain threshold, and the output is the notification to the server. Specifically, the terminal sends a packet containing the radio signal status to the server.

[0472] Step 3:

[0473] Evaluation of radio wave information and selection of relay terminals

[0474] The server receives notifications from terminals and evaluates the signal strength of other nearby terminals recorded in the database. Through this evaluation, the server selects the optimal relay terminal. The input is signal strength data of nearby terminals, and the output is the identification information of the selected relay terminal. In operation, the server uses an algorithm to compare the signal strength of each terminal and selects the terminal with the best conditions.

[0475] Step 4:

[0476] Sending relay instructions

[0477] The server sends a relay instruction to the selected relay terminal. This instruction contains information on which communication data should be relayed. The input is the identification information of the selected terminal and the data to be relayed, and the output is the completion of the relay instruction transmission. Specifically, the server structures the relay instruction in JSON format or similar and sends it to the terminal via the network.

[0478] Step 5:

[0479] Preparation and execution of the broadcast

[0480] The relay terminal prepares for relaying based on instructions received from the server. This includes configuring the relay path and establishing the necessary communication protocols. The input is the relay instruction from the server, and the output is the state in which relaying has started. In terms of operation, it adjusts the network settings and begins receiving and transmitting data.

[0481] Step 6:

[0482] Communication relay and reward calculation

[0483] The relay terminal forwards communication data to the designated receiving terminal. After the communication is complete, the server calculates a reward based on the resources used for relaying and their effect, and awards it to the relay terminal. The input is the log data of the relay communication, and the output is the reward. Specifically, the server measures the amount of communication and time, and calculates the reward according to the set criteria.

[0484] (Application Example 1)

[0485] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0486] In modern urban environments, the instability of public communication networks negatively impacts people's digital lifestyles. Network stability is particularly crucial in urban areas where radio wave conditions tend to deteriorate, and during events. Furthermore, there is the challenge of providing appropriate incentives for the provision of relay equipment.

[0487] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0488] This invention includes means for a server to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available when the status falls below a predetermined standard value, and secure a connection through that device; means for transmitting an instruction to the selected other mobile communication device to perform a relay function; and means for providing the device that performed the relay function with a reward that can be used for local services. This makes it possible to improve the stability of the local communication network and provide rewards to relay devices.

[0489] A "remote information processing system" is a central system for processing data located remotely and managing communication status.

[0490] A "mobile communication device" refers to a device that can communicate regardless of location, such as a mobile phone or tablet.

[0491] "Radio wave conditions" are indicators that show the strength and quality of signals in wireless communication.

[0492] A "reference value" is the minimum signal strength value required to judge the quality of communication.

[0493] A "relay function" is a function that temporarily maintains communication by transferring radio waves through another communication terminal.

[0494] "Reward" refers to the incentive or benefit given to the device that provides the relay function.

[0495] A "public telecommunications network" is infrastructure that is shared across a region or city and used by many people.

[0496] "Stability" is an indicator of the degree to which a communication system can be reliably and consistently available.

[0497] An "incentive" is a motivating factor or reward offered to encourage a particular behavior.

[0498] "Local services" refers to all public, commercial, or personal services provided within a specific area.

[0499] As an embodiment of this invention, a relay system can be constructed to optimize the communication infrastructure of a smart city. This system operates with a remote information processing device (server) at its core. The server monitors the radio wave conditions of mobile communication devices (smartphones and tablets) in real time, and if they fall below a certain threshold, it selects a nearby communication device to act as a relay, thereby maintaining communication stability. The server sends an instruction to the selected relay device to perform the relay function, and the device is rewarded for providing the relay function.

[0500] The server uses a Python program to collect radio wave data and implements an algorithm to determine the appropriate relay provider. This program uses SQL or a similar database management system to support database operations. The server aggregates radio wave strength information and calculates the optimal communication path. Communication terminals are typically smartphones and tablets running Android or iOS, and a Linux server often handles data processing.

[0501] As a concrete example, consider a scenario where participants use free Wi-Fi during an event held in a city square. Because congestion is expected to worsen the signal strength, the server can use the communication devices of nearby electric scooters as temporary relay points. In this way, participants can use the internet smoothly.

[0502] A possible example of a specific prompt for a generative AI model would be, "Please provide Python code to implement a method for a device with an unstable radio signal to use surrounding devices as relays."

[0503] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0504] Step 1:

[0505] The server receives radio wave condition information from multiple mobile communication devices. The input includes the identification information and signal strength of each communication device. This information is classified and recorded using a database, preparing it for subsequent processing.

[0506] Step 2:

[0507] The server uses information retrieved from the database to analyze radio wave conditions in real time. The input is recorded radio wave intensity data, and the output generates a list of devices whose radio waves are below a certain threshold. The server analyzes this list to identify unstable devices.

[0508] Step 3:

[0509] The server selects the most suitable relay device for the identified unstable communication device. This selection utilizes information on the radio wave conditions of other mobile communication devices in the database. A list of surrounding radio wave conditions is used as input, and the identification information of the selected relay device is obtained as output. The server uses an algorithm to determine the optimal relay device.

[0510] Step 4:

[0511] The server sends a relay instruction to the selected relay device. The relay device receives the communication from the designated unstable device and prepares to forward it to another network. The input for sending the instruction is the relay device's identification information, and the output is confirmation that it is ready.

[0512] Step 5:

[0513] After communication is complete, the server verifies the execution of the relay function and calculates the reward based on the results. It uses the execution time and communication quality data of the relay device as input and determines the amount of reward to be awarded as output.

[0514] Step 6:

[0515] The server rewards the devices that provided relay functionality. Rewards are often provided as currency or points usable for local services. A digital transaction system is used to verify that the rewards have been correctly awarded.

[0516] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0517] This invention provides a more comfortable communication experience by compensating for the instability of radio wave conditions in mobile communication devices and by recognizing and reflecting the user's emotional state. This system is implemented through a combination of a remote information processing device (server) and an emotion engine installed in the mobile communication device.

[0518] The server has the function of updating its database based on radio wave conditions and location information received from mobile communication devices, as well as user emotion information extracted by the emotion engine. This allows the server to understand the communication status of each terminal and the user's emotions in real time and provide the optimal relay method.

[0519] The device has a built-in emotion engine that analyzes data acquired from devices such as the camera and microphone to measure the user's current emotional state. The emotions detected by the emotion engine include states such as stress, anger, and joy, and this information is an important factor in determining the priority of communication.

[0520] Let's consider a scenario where a user is experiencing stress, for example, during a meeting or while traveling. In this case, the emotion engine detects the high stress level and sends that information to the server. The server then prioritizes the user's communication to prevent interruptions and sends instructions to the terminal to optimize the relay path.

[0521] Furthermore, other devices providing communication resources are notified of rewards in real time, providing an incentive for cooperation. This ensures efficient use of network resources and promotes coordinated operation between devices.

[0522] As a concrete example, consider a scenario where a user is trying to join an urgent meeting on the subway, but the normal signal strength is insufficient. The emotion engine detects the user's urgent emotions, and the server utilizes the resources of other nearby terminals to ensure communication. This allows the user to continue participating in the meeting without delay. In this way, the present invention provides a more flexible communication method that adapts to the individual circumstances of the user compared to conventional communication systems.

[0523] The following describes the processing flow.

[0524] Step 1:

[0525] The device uses an emotion engine to analyze data from the camera and microphone to measure the user's emotional state in real time. This data, along with radio wave status data, is then put into a processing state within the device.

[0526] Step 2:

[0527] The device periodically transmits current radio wave conditions and user sentiment data to the server. The server receives this data and stores it in a database, enabling real-time analysis.

[0528] Step 3:

[0529] The server analyzes the received radio signal strength and user sentiment data to evaluate relay methods for terminals with unstable communication. Based on the sentiment data, it determines the priority of communication.

[0530] Step 4:

[0531] If a user's emotions reach a certain threshold, such as a high stress level, the server decides to prioritize communication with that terminal. This ensures stable communication.

[0532] Step 5:

[0533] The server checks the radio wave conditions of other terminals near the user terminal and selects the optimal relay device. The server then sends an instruction to the selected terminal to start the relay function.

[0534] Step 6:

[0535] The relay terminal receives relay instructions and performs the necessary communication settings. It receives communication data from the user's terminal and completes the preparation for smooth transfer.

[0536] Step 7:

[0537] Once the communication is complete, the server aggregates the resources used by the terminals involved in the relay and calculates the reward. The calculated reward is notified to the relay terminal in real time.

[0538] Step 8:

[0539] Users can check their rewards and communication status through the application. This allows the server to quickly obtain cooperation for the next relay.

[0540] (Example 2)

[0541] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0542] In mobile communication environments, there are challenges in providing an efficient and comfortable communication experience while considering user stress and emotional state, even in situations with unstable radio wave conditions. Furthermore, there are challenges in ensuring transparency and fairness in compensation for other mobile communication devices acting as relays, thereby increasing incentives.

[0543] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0544] In this invention, the server includes means for measuring environmental information and psychological state of a mobile communication device, analyzing the information, and transmitting it to a remote information processing device; means for optimizing the communication path and transmitting preferential communication instructions to a predetermined mobile communication device based on the emotional state received by the remote information processing device; and means for receiving real-time instructions for other selected mobile devices to perform a communication relay function and improving the communication environment. As a result, users are provided with an optimal communication environment tailored to their individual circumstances, communication interruptions are prevented, and cooperating terminals are given fair rewards, thus enabling efficient use of network resources.

[0545] A "mobile communication device" is a device that a user can carry with them and that performs wireless communication, and has the function of sending and receiving voice and data.

[0546] "Environmental information" refers to data that indicates the physical and radio wave conditions in which a mobile communication device exists, and includes location information and radio wave strength.

[0547] "Psychological state" refers to information that indicates the user's emotional state, with mental conditions such as stress, joy, and anger being quantified.

[0548] A "remote information processing device" is a device for managing and processing information via a network, and has functions for optimizing communication and updating databases.

[0549] A "communication path" is the route of connection selected to transmit data from a mobile communication device to a remote information processing device or other network.

[0550] A "relay function" is a temporary communication support function that other mobile communication devices possess to forward communications to a different route.

[0551] "Reward" refers to the payment given to mobile communication devices that provide relay functionality, and serves as an incentive for providing that functionality.

[0552] "Incentive" is a concept that refers to the stimulus or reward that motivates other mobile communication devices to perform relay functions.

[0553] This invention relates to a communication system using a mobile communication device and a remote information processing device, which provides an optimized communication environment by considering the user's emotional state. The terminal is equipped with an emotion engine that analyzes audio and image data acquired using devices such as a camera and microphone. Through this analysis, the user's emotional state, such as stress or joy, is numerically evaluated.

[0554] The terminal collects current radio wave conditions and location information along with this emotional information and transmits it to a server, which is a remote information processing device. The server updates its database based on this data and accurately understands the real-time status of each terminal. Furthermore, it uses a generative AI model to calculate the optimal communication path and adjusts communication priority by using other mobile communication devices as relays as needed.

[0555] As a concrete example, consider a scenario where a user is participating in an urgent meeting on the subway. Even if the normal signal strength is insufficient, the emotion engine detects the user's level of tension and sends this information to the server. The server then utilizes the resources of other nearby devices to ensure stable communication. This operation allows the user to continue participating in the meeting without delay.

[0556] Another example of a prompt is, "When the radio signal strength of a mobile communication device is unstable, please tell me how to prioritize and optimize communication by reflecting the user's emotional state." By inputting this prompt into the generating AI model, detailed suggestions and improvement proposals for the system can be obtained.

[0557] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0558] Step 1:

[0559] The device uses its camera and microphone to acquire the user's voice and video data. This data is used as input for the emotion engine. The emotion engine applies voice analysis and image processing algorithms to quantify stress and joy levels. This quantified emotion data is then generated as output.

[0560] Step 2:

[0561] Users use their devices daily without consciously thinking about it. During this process, location information and signal strength are automatically recorded. This data is combined with emotional data and prepared for processing in the next step.

[0562] Step 3:

[0563] The terminal formats the aggregated data (emotional state, location information, signal strength) into packets and sends them to the server. These packets function as input data indicating the terminal's current status.

[0564] Step 4:

[0565] The server analyzes data packets received from the terminal and updates the database. Using a generative AI model, it performs data calculations to determine the optimal communication path based on emotional state and radio wave conditions. This results in the output of communication path optimization information.

[0566] Step 5:

[0567] The server sends calculated communication path optimization information to the terminal. The terminal updates its settings based on this information to ensure priority communication. Based on this output, the user can obtain a stable connection environment.

[0568] Step 6:

[0569] The server sends real-time instructions to other mobile communication devices to provide relay functionality. Furthermore, after communication is complete, it calculates a reward for the relay function and notifies the device of the result. This provides an incentive to relay devices and promotes efficient network operation.

[0570] (Application Example 2)

[0571] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0572] In today's communication environment, the radio wave conditions of mobile communication devices are not always stable, and communication can be particularly difficult inside buildings. Furthermore, while users demand more personalized information, they often do not receive appropriate support tailored to their emotional state. This makes improving the customer experience a challenge, especially in retail environments.

[0573] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0574] This invention includes a server that detects the radio wave status of a predetermined mobile communication device to a remote information processing device, selects another nearby mobile communication device that is available if the status falls below a predetermined threshold, and connects the predetermined mobile communication device to the remote information processing device or other communication network via the other mobile communication device; a server that transmits instructions to the selected other mobile communication device to perform a relay function; a server that calculates a reward for the relay function used after the communication is completed and grants the reward to the mobile communication device that performed the relay function; and a server that collects the user's emotional information using an emotional analysis engine in a store environment and presents personalized information based on the collected emotional information. This makes it possible to optimize communication according to the user's emotional state and to improve the customer experience in a store environment.

[0575] A "remote information processing device" is a computer system that is connected via a communication network and performs data reception, transmission, and processing.

[0576] A "mobile communication device" is a terminal that can connect to a network while on the move using wireless communication, such as a mobile phone or smartphone.

[0577] "Radio wave conditions" refer to indicators that represent the connection characteristics of wireless communication, such as signal strength and quality.

[0578] A "relay function" is a function that transmits communication data via other communication devices.

[0579] An "emotion analysis engine" is a software system that estimates a user's psychological state and emotions from data such as their voice and facial expressions.

[0580] "Emotional information" refers to data that indicates an individual's current psychological state, including, for example, joy, anger, and stress.

[0581] "Personalized information" refers to information that is customized according to the preferences and circumstances of a particular user.

[0582] "Reward" refers to an incentive given to a mobile communication device that provides relay functionality as payment for that service.

[0583] The system implementing this invention consists of a mobile communication device, an emotion analysis engine, and a remote information processing device (server). This enables optimized communication and personalized information delivery.

[0584] The server receives radio wave conditions and emotion information from mobile communication devices and analyzes them in real time based on a database. The software used is an emotion analysis engine composed of facial expression recognition models such as TensorFlow. A real-time database such as Firebase is used for data management. Even if the user's radio wave conditions are unstable, the server selects an appropriate relay path and instructs the relay function to continue communication using other nearby mobile communication devices. Furthermore, when the relay function is executed, the server awards a reward to the corresponding device.

[0585] The emotion analysis engine built into the device uses hardware such as the camera and microphone to monitor the user's emotional state in real time. Based on this emotional information, the server generates personalized information and sends it as a push notification to the user's smartphone or smart glasses. Furthermore, when the user is in a store environment, the emotional information is used to make optimal product recommendations and for store staff to intervene accordingly.

[0586] For example, the system might analyze a user's facial expressions while they are browsing products in a store and provide additional information about the products they are interested in. If a user feels stressed, they can send a notification to a store employee indicating they need support.

[0587] Example of a prompt:

[0588] "Please tell me how to design an algorithm that analyzes a user's facial expression data while they are viewing a product on their smartphone, detects their interest and anxiety, and then push notifications with information that will capture their interest in real time."

[0589] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0590] Step 1:

[0591] The device uses its camera and microphone to capture the user's facial expressions and voice data. Real-time video and audio data are taken in as input. This data is analyzed by an emotion analysis engine, which outputs emotional states such as stress and joy. Specifically, it uses a TensorFlow facial expression recognition model to analyze facial feature points and identify emotions.

[0592] Step 2:

[0593] The device sends its analyzed emotional state to the server, along with its current signal strength and location information. The inputs are emotional information, signal strength, and location data. The server receives this data and records it in a real-time database. If the emotional state is urgent, preparations are made to immediately optimize the relay path. Specifically, data is updated on Firebase, and warnings are issued as needed.

[0594] Step 3:

[0595] If the received radio signal strength falls below a certain threshold, the server evaluates other nearby mobile communication devices and selects the optimal relay path. The inputs considered are the terminal's radio signal strength and a list of available communication devices in the vicinity. The server uses an algorithm to evaluate the relay capability of each device and selects the most efficient one. Specifically, it analyzes the signal strength and current load of other devices based on the algorithm to determine the appropriate relay destination.

[0596] Step 4:

[0597] The server sends an instruction to the selected mobile communication device to perform the relay function. The input includes the device ID and the relay instruction. The output is the activation of the relay function. Specifically, the instruction is sent to the device according to the communication protocol, and the relaying of data packets begins.

[0598] Step 5:

[0599] After communication is complete, the server calculates a reward for the device that performed the relay function and notifies the reward in real time. The inputs are the success status of the communication and the usage data of the relay device. The output is the reward information sent to the corresponding terminal. Specifically, the reward is calculated according to criteria retrieved from the database, and the reward is notified according to the notification protocol.

[0600] Step 6:

[0601] The server generates personalized information based on the user's emotional data and sends it to the device as a push notification. The input requires the results of the emotional analysis. The output is a push notification displayed to the user. Specifically, it compares the emotional data with the contents of a related database and automatically generates information that will interest the user.

[0602] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0603] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0604] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0605] [Fourth Embodiment]

[0606] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0607] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0608] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0609] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0610] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0611] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0612] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0613] The controlled 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0614] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0615] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0616] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0617] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0618] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0619] This invention provides a system that achieves stable network connectivity by relaying communications when the radio waves from mobile communication devices are unstable. This system operates around a remote information processing device, or server. The server periodically receives information about the radio wave conditions from each mobile communication device and records it in a database. Based on this, the server can determine the location and signal strength of each mobile communication device and calculate the optimal relay path in real time.

[0620] A terminal experiencing unstable communication conditions notifies the server that its signal strength has fallen below a certain threshold. The server evaluates the signal strength of other mobile communication devices located around the terminal and selects the device best suited for relaying the communication. After selection, the server sends a relay instruction to the relay terminal, which then prepares to forward communications from other terminals through itself.

[0621] For users, the key feature is the ability to use the internet smoothly without interruption. For example, consider a scenario where user A is watching a streaming video in a subway tunnel and the signal weakens, threatening to interrupt the connection. At this time, the server detects that user B's terminal, located nearby, has a good signal and sends a relay instruction to user B. User B's terminal relays user A's communication, allowing user A to continue watching the video.

[0622] Furthermore, mobile communication devices that provide relay functionality will be rewarded later. The system is designed so that users can see their rewards and be incentivized to participate in further relay activities. Through this process, the system aims to provide users with a stable communication environment and optimize the use of network resources.

[0623] The following describes the processing flow.

[0624] Step 1:

[0625] The server receives radio wave status and location information periodically transmitted from each terminal and records it in a database. This allows the server to understand the current communication status of each terminal.

[0626] Step 2:

[0627] When a device detects that its signal strength has fallen below a certain threshold, it notifies the server of this information. The server then recognizes that the device in this state requires assistance.

[0628] Step 3:

[0629] The server checks the signal strength data of other devices located around the notified device and identifies devices with good signal strength. This prepares the server to select a suitable relay candidate.

[0630] Step 4:

[0631] The server selects a suitable terminal for relaying and sends a relay instruction to that terminal. The terminal that receives the relay instruction configures its communication settings for relaying according to the instructions from the server.

[0632] Step 5:

[0633] The terminal begins operating as a relay, receiving communication data from terminals with poor signal strength and forwarding it to another device. At this stage, the user can continue using the service without experiencing any particular communication delay.

[0634] Step 6:

[0635] Once communication is complete, information about the resources used for relaying is sent to the server. The server uses this information to calculate rewards and distributes incentives to the relay terminals.

[0636] Step 7:

[0637] Users can see the rewards they've earned through the app, which motivates them to cooperate in future broadcasts. This allows the server to quickly secure cooperation for the next broadcast.

[0638] (Example 1)

[0639] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0640] There is a problem in that mobile communication devices cannot maintain a continuous and stable network connection when outside of coverage area or in unstable communication environments. This situation can lead to a degraded user experience and the interruption of critical communications, and is particularly noticeable in environments where radio wave conditions are prone to deterioration. Therefore, it is necessary to improve the stability of communications, especially in situations with a high volume of mobile activity and in urban areas.

[0641] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0642] In this invention, the server includes means for detecting the communication status of a mobile communication device, selecting another nearby mobile communication device that is available when the status falls below a predetermined threshold, and connecting the selected communication device via the other device; means for transmitting instructions to the selected other mobile communication device to perform a communication function; and means for calculating a reward for the communication function used after the communication is completed and awarding the reward to the device that performed the function. This enables the mobile communication device to maintain a continuous and reliable network connection even in an unstable communication environment.

[0643] A "remote information processing system" is a computer system used to process and manage data located in a remote location via a network.

[0644] A "mobile communication device" is a portable device that can perform wireless communication using radio waves, and includes smartphones and tablets.

[0645] "Communication status" is an indicator that shows the strength and quality of radio waves that a mobile communication device can transmit and receive.

[0646] A "reference value" is a predetermined threshold used to determine whether the communication status is good or bad.

[0647] "Other nearby mobile communication devices" refers to other mobile communication devices that are located near a mobile communication device with an unstable communication status and are capable of communicating.

[0648] "Communication function" refers to the means and processes for sending and receiving data and exchanging information.

[0649] "Sending instructions" refers to the act of electronically transmitting commands to another device to perform a specific action.

[0650] "Reward" refers to payment or bonus for performing communication functions.

[0651] "Communication resources" refer to the hardware, software, networks, and other elements necessary to perform data communication.

[0652] "Motivation" refers to incentives or rewards offered to encourage specific behaviors.

[0653] This system provides a stable network connection via other mobile communication devices when communication from one mobile communication device becomes unstable. The following describes an embodiment of this system in detail.

[0654] The server runs a program to periodically receive signal strength and location information from multiple mobile communication devices. The server stores this information in a large database management system (e.g., MySQL or PostgreSQL) and monitors the communication status of each device in real time. In this process, the server plays a role in detecting devices whose signal strength falls below a certain threshold.

[0655] A terminal experiencing unstable communication has a function that allows it to notify a server of its communication status. Upon receiving this notification, the server selects a device with a good signal strength from among other mobile communication devices in the vicinity. The selected device relays data from the other device according to a protocol for communication relay (e.g., TCP / IP). In this way, the terminal can compensate for its own unstable communication status.

[0656] For users, this system guarantees a smooth communication experience in their daily lives. As a concrete example, consider a scenario where user A is watching a video on the subway. Even if communication is about to be interrupted, the server can continuously provide data to user A through the terminal of another user, user B.

[0657] Furthermore, the system has a function to reward devices that provide relays. This reward is notified to the device owner as an incentive, encouraging them to participate in further relays.

[0658] Examples of prompts for a generative AI model:

[0659] "Design a system to relay communications when the radio waves from mobile communication devices are unstable. Explain in detail how this system will ensure smooth communication between users."

[0660] This system enhances the stability of network connections through this process, enabling it to provide users with a highly reliable communication environment.

[0661] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0662] Step 1:

[0663] Monitoring of radio wave conditions

[0664] The device continuously monitors its own radio wave conditions. Specifically, a built-in communication module measures radio wave strength data in real time and collects this data at regular intervals. At this stage, the input is radio wave strength, and the output is the evaluation result of the radio wave conditions. If the radio wave conditions fall below a certain threshold, a warning flag is raised.

[0665] Step 2:

[0666] Warning status notification

[0667] If the terminal determines that the radio signal is unstable, it will notify the server of this status. This notification is made using a specific protocol (e.g., an HTTP request). The input is a warning flag indicating that the signal has fallen below a certain threshold, and the output is the notification to the server. Specifically, the terminal sends a packet containing the radio signal status to the server.

[0668] Step 3:

[0669] Evaluation of radio wave information and selection of relay terminals

[0670] The server receives notifications from terminals and evaluates the signal strength of other nearby terminals recorded in the database. Through this evaluation, the server selects the optimal relay terminal. The input is signal strength data of nearby terminals, and the output is the identification information of the selected relay terminal. In operation, the server uses an algorithm to compare the signal strength of each terminal and selects the terminal with the best conditions.

[0671] Step 4:

[0672] Sending relay instructions

[0673] The server sends a relay instruction to the selected relay terminal. This instruction contains information on which communication data should be relayed. The input is the identification information of the selected terminal and the data to be relayed, and the output is the completion of the relay instruction transmission. Specifically, the server structures the relay instruction in JSON format or similar and sends it to the terminal via the network.

[0674] Step 5:

[0675] Preparation and execution of the broadcast

[0676] The relay terminal prepares for relaying based on instructions received from the server. This includes configuring the relay path and establishing the necessary communication protocols. The input is the relay instruction from the server, and the output is the state in which relaying has started. In terms of operation, it adjusts the network settings and begins receiving and transmitting data.

[0677] Step 6:

[0678] Communication relay and reward calculation

[0679] The relay terminal forwards communication data to the designated receiving terminal. After the communication is complete, the server calculates a reward based on the resources used for relaying and their effect, and awards it to the relay terminal. The input is the log data of the relay communication, and the output is the reward. Specifically, the server measures the amount of communication and time, and calculates the reward according to the set criteria.

[0680] (Application Example 1)

[0681] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0682] In modern urban environments, the instability of public communication networks negatively impacts people's digital lifestyles. Network stability is particularly crucial in urban areas where radio wave conditions tend to deteriorate, and during events. Furthermore, there is the challenge of providing appropriate incentives for the provision of relay equipment.

[0683] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0684] This invention includes means for a server to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available when the status falls below a predetermined standard value, and secure a connection through that device; means for transmitting an instruction to the selected other mobile communication device to perform a relay function; and means for providing the device that performed the relay function with a reward that can be used for local services. This makes it possible to improve the stability of the local communication network and provide rewards to relay devices.

[0685] A "remote information processing system" is a central system for processing data located remotely and managing communication status.

[0686] A "mobile communication device" refers to a device that can communicate regardless of location, such as a mobile phone or tablet.

[0687] "Radio wave conditions" are indicators that show the strength and quality of signals in wireless communication.

[0688] A "reference value" is the minimum signal strength value required to judge the quality of communication.

[0689] A "relay function" is a function that temporarily maintains communication by transferring radio waves through another communication terminal.

[0690] "Reward" refers to the incentive or benefit given to the device that provides the relay function.

[0691] A "public telecommunications network" is infrastructure that is shared across a region or city and used by many people.

[0692] "Stability" is an indicator of the degree to which a communication system can be reliably and consistently available.

[0693] An "incentive" is a motivating factor or reward offered to encourage a particular behavior.

[0694] "Local services" refers to all public, commercial, or personal services provided within a specific area.

[0695] As an embodiment of this invention, a relay system can be constructed to optimize the communication infrastructure of a smart city. This system operates with a remote information processing device (server) at its core. The server monitors the radio wave conditions of mobile communication devices (smartphones and tablets) in real time, and if they fall below a certain threshold, it selects a nearby communication device to act as a relay, thereby maintaining communication stability. The server sends an instruction to the selected relay device to perform the relay function, and the device is rewarded for providing the relay function.

[0696] The server uses a Python program to collect radio wave data and implements an algorithm to determine the appropriate relay provider. This program uses SQL or a similar database management system to support database operations. The server aggregates radio wave strength information and calculates the optimal communication path. Communication terminals are typically smartphones and tablets running Android or iOS, and a Linux server often handles data processing.

[0697] As a concrete example, consider a scenario where participants use free Wi-Fi during an event held in a city square. Because congestion is expected to worsen the signal strength, the server can use the communication devices of nearby electric scooters as temporary relay points. In this way, participants can use the internet smoothly.

[0698] A possible example of a specific prompt for a generative AI model would be, "Please provide Python code to implement a method for a device with an unstable radio signal to use surrounding devices as relays."

[0699] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0700] Step 1:

[0701] The server receives radio wave condition information from multiple mobile communication devices. The input includes the identification information and signal strength of each communication device. This information is classified and recorded using a database, preparing it for subsequent processing.

[0702] Step 2:

[0703] The server uses information retrieved from the database to analyze radio wave conditions in real time. The input is recorded radio wave intensity data, and the output generates a list of devices whose radio waves are below a certain threshold. The server analyzes this list to identify unstable devices.

[0704] Step 3:

[0705] The server selects the most suitable relay device for the identified unstable communication device. This selection utilizes information on the radio wave conditions of other mobile communication devices in the database. A list of surrounding radio wave conditions is used as input, and the identification information of the selected relay device is obtained as output. The server uses an algorithm to determine the optimal relay device.

[0706] Step 4:

[0707] The server sends a relay instruction to the selected relay device. The relay device receives the communication from the designated unstable device and prepares to forward it to another network. The input for sending the instruction is the relay device's identification information, and the output is confirmation that it is ready.

[0708] Step 5:

[0709] After communication is complete, the server verifies the execution of the relay function and calculates the reward based on the results. It uses the execution time and communication quality data of the relay device as input and determines the amount of reward to be awarded as output.

[0710] Step 6:

[0711] The server rewards the devices that provided relay functionality. Rewards are often provided as currency or points usable for local services. A digital transaction system is used to verify that the rewards have been correctly awarded.

[0712] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0713] This invention provides a more comfortable communication experience by compensating for the instability of radio wave conditions in mobile communication devices and by recognizing and reflecting the user's emotional state. This system is implemented through a combination of a remote information processing device (server) and an emotion engine installed in the mobile communication device.

[0714] The server has the function of updating its database based on radio wave conditions and location information received from mobile communication devices, as well as user emotion information extracted by the emotion engine. This allows the server to understand the communication status of each terminal and the user's emotions in real time and provide the optimal relay method.

[0715] The device has a built-in emotion engine that analyzes data acquired from devices such as the camera and microphone to measure the user's current emotional state. The emotions detected by the emotion engine include states such as stress, anger, and joy, and this information is an important factor in determining the priority of communication.

[0716] Let's consider a scenario where a user is experiencing stress, for example, during a meeting or while traveling. In this case, the emotion engine detects the high stress level and sends that information to the server. The server then prioritizes the user's communication to prevent interruptions and sends instructions to the terminal to optimize the relay path.

[0717] Furthermore, other devices providing communication resources are notified of rewards in real time, providing an incentive for cooperation. This ensures efficient use of network resources and promotes coordinated operation between devices.

[0718] As a concrete example, consider a scenario where a user is trying to join an urgent meeting on the subway, but the normal signal strength is insufficient. The emotion engine detects the user's urgent emotions, and the server utilizes the resources of other nearby terminals to ensure communication. This allows the user to continue participating in the meeting without delay. In this way, the present invention provides a more flexible communication method that adapts to the individual circumstances of the user compared to conventional communication systems.

[0719] The following describes the processing flow.

[0720] Step 1:

[0721] The device uses an emotion engine to analyze data from the camera and microphone to measure the user's emotional state in real time. This data, along with radio wave status data, is then put into a processing state within the device.

[0722] Step 2:

[0723] The device periodically transmits current radio wave conditions and user sentiment data to the server. The server receives this data and stores it in a database, enabling real-time analysis.

[0724] Step 3:

[0725] The server analyzes the received radio signal strength and user sentiment data to evaluate relay methods for terminals with unstable communication. Based on the sentiment data, it determines the priority of communication.

[0726] Step 4:

[0727] If a user's emotions reach a certain threshold, such as a high stress level, the server decides to prioritize communication with that terminal. This ensures stable communication.

[0728] Step 5:

[0729] The server checks the radio wave conditions of other terminals near the user terminal and selects the optimal relay device. The server then sends an instruction to the selected terminal to start the relay function.

[0730] Step 6:

[0731] The relay terminal receives relay instructions and performs the necessary communication settings. It receives communication data from the user's terminal and completes the preparation for smooth transfer.

[0732] Step 7:

[0733] Once the communication is complete, the server aggregates the resources used by the terminals involved in the relay and calculates the reward. The calculated reward is notified to the relay terminal in real time.

[0734] Step 8:

[0735] Users can check their rewards and communication status through the application. This allows the server to quickly obtain cooperation for the next relay.

[0736] (Example 2)

[0737] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0738] In mobile communication environments, there are challenges in providing an efficient and comfortable communication experience while considering user stress and emotional state, even in situations with unstable radio wave conditions. Furthermore, there are challenges in ensuring transparency and fairness in compensation for other mobile communication devices acting as relays, thereby increasing incentives.

[0739] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0740] In this invention, the server includes means for measuring environmental information and psychological state of a mobile communication device, analyzing the information, and transmitting it to a remote information processing device; means for optimizing the communication path and transmitting preferential communication instructions to a predetermined mobile communication device based on the emotional state received by the remote information processing device; and means for receiving real-time instructions for other selected mobile devices to perform a communication relay function and improving the communication environment. As a result, users are provided with an optimal communication environment tailored to their individual circumstances, communication interruptions are prevented, and cooperating terminals are given fair rewards, thus enabling efficient use of network resources.

[0741] A "mobile communication device" is a device that a user can carry with them and that performs wireless communication, and has the function of sending and receiving voice and data.

[0742] "Environmental information" refers to data that indicates the physical and radio wave conditions in which a mobile communication device exists, and includes location information and radio wave strength.

[0743] "Psychological state" refers to information that indicates the user's emotional state, with mental conditions such as stress, joy, and anger being quantified.

[0744] A "remote information processing device" is a device for managing and processing information via a network, and has functions for optimizing communication and updating databases.

[0745] A "communication path" is the route of connection selected to transmit data from a mobile communication device to a remote information processing device or other network.

[0746] A "relay function" is a temporary communication support function that other mobile communication devices possess to forward communications to a different route.

[0747] "Reward" refers to the payment given to mobile communication devices that provide relay functionality, and serves as an incentive for providing that functionality.

[0748] "Incentive" is a concept that refers to the stimulus or reward that motivates other mobile communication devices to perform relay functions.

[0749] This invention relates to a communication system using a mobile communication device and a remote information processing device, which provides an optimized communication environment by considering the user's emotional state. The terminal is equipped with an emotion engine that analyzes audio and image data acquired using devices such as a camera and microphone. Through this analysis, the user's emotional state, such as stress or joy, is numerically evaluated.

[0750] The terminal collects current radio wave conditions and location information along with this emotional information and transmits it to a server, which is a remote information processing device. The server updates its database based on this data and accurately understands the real-time status of each terminal. Furthermore, it uses a generative AI model to calculate the optimal communication path and adjusts communication priority by using other mobile communication devices as relays as needed.

[0751] As a concrete example, consider a scenario where a user is participating in an urgent meeting on the subway. Even if the normal signal strength is insufficient, the emotion engine detects the user's level of tension and sends this information to the server. The server then utilizes the resources of other nearby devices to ensure stable communication. This operation allows the user to continue participating in the meeting without delay.

[0752] Another example of a prompt is, "When the radio signal strength of a mobile communication device is unstable, please tell me how to prioritize and optimize communication by reflecting the user's emotional state." By inputting this prompt into the generating AI model, detailed suggestions and improvement proposals for the system can be obtained.

[0753] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0754] Step 1:

[0755] The device uses its camera and microphone to acquire the user's voice and video data. This data is used as input for the emotion engine. The emotion engine applies voice analysis and image processing algorithms to quantify stress and joy levels. This quantified emotion data is then generated as output.

[0756] Step 2:

[0757] Users use their devices daily without consciously thinking about it. During this process, location information and signal strength are automatically recorded. This data is combined with emotional data and prepared for processing in the next step.

[0758] Step 3:

[0759] The terminal formats the aggregated data (emotional state, location information, signal strength) into packets and sends them to the server. These packets function as input data indicating the terminal's current status.

[0760] Step 4:

[0761] The server analyzes data packets received from the terminal and updates the database. Using a generative AI model, it performs data calculations to determine the optimal communication path based on emotional state and radio wave conditions. This results in the output of communication path optimization information.

[0762] Step 5:

[0763] The server sends calculated communication path optimization information to the terminal. The terminal updates its settings based on this information to ensure priority communication. Based on this output, the user can obtain a stable connection environment.

[0764] Step 6:

[0765] The server sends real-time instructions to other mobile communication devices to provide relay functionality. Furthermore, after communication is complete, it calculates a reward for the relay function and notifies the device of the result. This provides an incentive to relay devices and promotes efficient network operation.

[0766] (Application Example 2)

[0767] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0768] In today's communication environment, the radio wave conditions of mobile communication devices are not always stable, and communication can be particularly difficult inside buildings. Furthermore, while users demand more personalized information, they often do not receive appropriate support tailored to their emotional state. This makes improving the customer experience a challenge, especially in retail environments.

[0769] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0770] This invention includes a server that detects the radio wave status of a predetermined mobile communication device to a remote information processing device, selects another nearby mobile communication device that is available if the status falls below a predetermined threshold, and connects the predetermined mobile communication device to the remote information processing device or other communication network via the other mobile communication device; a server that transmits instructions to the selected other mobile communication device to perform a relay function; a server that calculates a reward for the relay function used after the communication is completed and grants the reward to the mobile communication device that performed the relay function; and a server that collects the user's emotional information using an emotional analysis engine in a store environment and presents personalized information based on the collected emotional information. This makes it possible to optimize communication according to the user's emotional state and to improve the customer experience in a store environment.

[0771] A "remote information processing device" is a computer system that is connected via a communication network and performs data reception, transmission, and processing.

[0772] A "mobile communication device" is a terminal that can connect to a network while on the move using wireless communication, such as a mobile phone or smartphone.

[0773] "Radio wave conditions" refer to indicators that represent the connection characteristics of wireless communication, such as signal strength and quality.

[0774] A "relay function" is a function that transmits communication data via other communication devices.

[0775] An "emotion analysis engine" is a software system that estimates a user's psychological state and emotions from data such as their voice and facial expressions.

[0776] "Emotional information" refers to data that indicates an individual's current psychological state, including, for example, joy, anger, and stress.

[0777] "Personalized information" refers to information that is customized according to the preferences and circumstances of a particular user.

[0778] "Reward" refers to an incentive given to a mobile communication device that provides relay functionality as payment for that service.

[0779] The system implementing this invention consists of a mobile communication device, an emotion analysis engine, and a remote information processing device (server). This enables optimized communication and personalized information delivery.

[0780] The server receives radio wave conditions and emotion information from mobile communication devices and analyzes them in real time based on a database. The software used is an emotion analysis engine composed of facial expression recognition models such as TensorFlow. A real-time database such as Firebase is used for data management. Even if the user's radio wave conditions are unstable, the server selects an appropriate relay path and instructs the relay function to continue communication using other nearby mobile communication devices. Furthermore, when the relay function is executed, the server awards a reward to the corresponding device.

[0781] The emotion analysis engine built into the device uses hardware such as the camera and microphone to monitor the user's emotional state in real time. Based on this emotional information, the server generates personalized information and sends it as a push notification to the user's smartphone or smart glasses. Furthermore, when the user is in a store environment, the emotional information is used to make optimal product recommendations and for store staff to intervene accordingly.

[0782] For example, the system might analyze a user's facial expressions while they are browsing products in a store and provide additional information about the products they are interested in. If a user feels stressed, they can send a notification to a store employee indicating they need support.

[0783] Example of a prompt:

[0784] "Please tell me how to design an algorithm that analyzes a user's facial expression data while they are viewing a product on their smartphone, detects their interest and anxiety, and then push notifications with information that will capture their interest in real time."

[0785] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0786] Step 1:

[0787] The device uses its camera and microphone to capture the user's facial expressions and voice data. Real-time video and audio data are taken in as input. This data is analyzed by an emotion analysis engine, which outputs emotional states such as stress and joy. Specifically, it uses a TensorFlow facial expression recognition model to analyze facial feature points and identify emotions.

[0788] Step 2:

[0789] The device sends its analyzed emotional state to the server, along with its current signal strength and location information. The inputs are emotional information, signal strength, and location data. The server receives this data and records it in a real-time database. If the emotional state is urgent, preparations are made to immediately optimize the relay path. Specifically, data is updated on Firebase, and warnings are issued as needed.

[0790] Step 3:

[0791] If the received radio signal strength falls below a certain threshold, the server evaluates other nearby mobile communication devices and selects the optimal relay path. The inputs considered are the terminal's radio signal strength and a list of available communication devices in the vicinity. The server uses an algorithm to evaluate the relay capability of each device and selects the most efficient one. Specifically, it analyzes the signal strength and current load of other devices based on the algorithm to determine the appropriate relay destination.

[0792] Step 4:

[0793] The server sends an instruction to the selected mobile communication device to perform the relay function. The input includes the device ID and the relay instruction. The output is the activation of the relay function. Specifically, the instruction is sent to the device according to the communication protocol, and the relaying of data packets begins.

[0794] Step 5:

[0795] After communication is complete, the server calculates a reward for the device that performed the relay function and notifies the reward in real time. The inputs are the success status of the communication and the usage data of the relay device. The output is the reward information sent to the corresponding terminal. Specifically, the reward is calculated according to criteria retrieved from the database, and the reward is notified according to the notification protocol.

[0796] Step 6:

[0797] The server generates personalized information based on the user's emotional data and sends it to the device as a push notification. The input requires the results of the emotional analysis. The output is a push notification displayed to the user. Specifically, it compares the emotional data with the contents of a related database and automatically generates information that will interest the user.

[0798] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0799] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0800] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0801] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0802] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0803] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0804] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0805] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0806] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0807] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0808] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0809] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0810] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0811] 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.

[0812] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0813] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0814] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0815] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0816] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0817] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0818] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0819] The following is further disclosed regarding the embodiments described above.

[0820] (Claim 1)

[0821] A means for a remote information processing device to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined standard value, and connect the predetermined mobile communication device to the remote information processing device or another network via the other mobile communication device,

[0822] Means for transmitting instructions to the selected other mobile communication device to perform a relay function,

[0823] A means for calculating a reward for the relay function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the relay function,

[0824] A system that includes this.

[0825] (Claim 2)

[0826] The system according to claim 1, further comprising means for evaluating the available relay resources of the other mobile communication device in real time, and enabling the predetermined mobile communication device to utilize the optimal relay resources.

[0827] (Claim 3)

[0828] The system according to claim 1, further comprising means for notifying the other mobile communication device of the reward in real time as an incentive.

[0829] "Example 1"

[0830] (Claim 1)

[0831] A means for a remote information processing device to detect the communication status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined threshold, and connect the predetermined mobile communication device to the remote information processing device or another information processing network via the other mobile communication device,

[0832] Means for transmitting instructions to the selected other mobile communication device to perform a communication function,

[0833] A means for calculating a reward for the communication function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the communication function,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, further comprising means for evaluating the available communication resources of the other mobile communication device in real time, and enabling the predetermined mobile communication device to utilize the optimal communication resources.

[0837] (Claim 3)

[0838] The system according to claim 1, further comprising means for notifying the other mobile communication device of the reward in real time as motivation.

[0839] "Application Example 1"

[0840] (Claim 1)

[0841] A means for a remote information processing device to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined standard value, and connect the predetermined mobile communication device to the remote information processing device or another network via the other mobile communication device,

[0842] Means for transmitting instructions to the selected other mobile communication device to perform a relay function,

[0843] A means for calculating a reward for the relay function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the relay function,

[0844] To improve the stability of the city's public telecommunications network, a means of optimizing the network across the entire region is employed, by selecting the optimal relay equipment based on the results of a signal strength evaluation.

[0845] A means of providing a reward usable for local services to a device that performs a relay function,

[0846] A system that includes this.

[0847] (Claim 2)

[0848] The system according to claim 1, further comprising means for evaluating the available relay resources of the other mobile communication device in real time, and enabling the predetermined mobile communication device to utilize the optimal relay resources.

[0849] (Claim 3)

[0850] The system according to claim 1, further comprising means by which the reward is notified in real time as an incentive to the other mobile communication device and can be used for local services or events.

[0851] "Example 2 of combining an emotion engine"

[0852] (Claim 1)

[0853] A means for measuring environmental information and psychological state of a mobile communication device, analyzing that information, and transmitting it to a remote information processing device,

[0854] A means for optimizing the communication path based on the emotional state received by the remote information processing device and transmitting preferential communication instructions to a predetermined mobile communication device,

[0855] A means to receive real-time instructions for other selected mobile units to perform communication relay functions and to improve the communication environment,

[0856] A means for calculating a reward based on the relay function used after the communication is completed and awarding that reward to the mobile entity that performed the task,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, further comprising means for immediately evaluating relay resources of a moving object and enabling a predetermined device to utilize the optimal relay resources.

[0860] (Claim 3)

[0861] The system according to claim 1, further comprising means for immediately notifying a cooperative party of the reward as motivation.

[0862] "Application example 2 when combining with an emotional engine"

[0863] (Claim 1)

[0864] A means for a remote information processing device to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined standard value, and connect the predetermined mobile communication device to the remote information processing device or another communication network via the other mobile communication device,

[0865] Means for transmitting instructions to the selected other mobile communication device to perform a relay function,

[0866] A means for calculating a reward for the relay function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the relay function,

[0867] In a retail environment, a means for collecting user emotional information using an emotion analysis engine and presenting personalized information based on the collected emotional information,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, further comprising means for evaluating the available relay resources of the other mobile communication device in real time, and enabling the predetermined mobile communication device to utilize the optimal relay resources.

[0871] (Claim 3)

[0872] The system according to claim 1, further comprising means for notifying the other mobile communication device of the reward in real time as an advantage. [Explanation of symbols]

[0873] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for a remote information processing device to detect the radio wave status of a predetermined mobile communication device, select another nearby mobile communication device that is available if the status falls below a predetermined standard value, and connect the predetermined mobile communication device to the remote information processing device or another network via the other mobile communication device, Means for transmitting instructions to the selected other mobile communication device to perform a relay function, A means for calculating a reward for the relay function used after the communication is completed, and for awarding that reward to the mobile communication device that performed the relay function, To improve the stability of the city's public telecommunications network, a means of optimizing the network across the entire region is employed, by selecting the optimal relay equipment based on the results of a signal strength evaluation. A means of providing a reward usable for local services to a device that performs a relay function, A system that includes this.

2. The system according to claim 1, further comprising means for evaluating the available relay resources of the other mobile communication device in real time, and enabling the predetermined mobile communication device to utilize the optimal relay resources.

3. The system according to claim 1, further comprising means by which the reward is notified in real time as an incentive to the other mobile communication device and can be used for local services or events.

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