System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user terminal to collect driving data from a control unit of a vehicle; means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; means for the server to evaluate an execution result of eco-driving and calculate eco-driving points; means for the server to record and manage the eco-driving points and notify the user; and means for the user terminal to visualize the advice, the points, and the driving evaluation and provide the user with the visualized advice, points, and driving evaluation.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many vehicle owners find it difficult to accurately grasp specific ways to improve fuel economy and the environmental impact of their driving habits. While practicing eco-driving practices, such as reducing sudden acceleration and idling and increasing constant speed driving, is particularly important, there is a lack of effective ways to manage these practices and obtain feedback. There is also a need for a mechanism to maintain motivation to continue eco-driving. To address these challenges, an effective system is needed to help users improve their driving habits and maximize fuel efficiency. [Means for solving the problem]

[0005] The present invention provides a means for a user terminal to collect driving data from a vehicle's control unit and transmit it to a server. The server analyzes the data in real time and generates specific advice for improving fuel efficiency. The server also evaluates the results of eco-driving and calculates, records, and manages eco-driving points. The user terminal visualizes this advice and eco-driving points and provides them to the user, encouraging eco-driving. The user can exchange the accumulated eco-driving points for donations to environmental protection activities or eco-friendly products. This provides a system that allows users to make specific improvements to their driving habits and maintain sustainable motivation.

[0006] A "user terminal" is an information processing device used by a user, and is a device that has the function of collecting driving data from a vehicle control unit and transmitting it to a server.

[0007] "Vehicle control unit" means an electronic control device that manages and controls data related to the vehicle's operating state and engine control.

[0008] "Driving data" refers to data that indicates the driving state, such as the vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0009] The "server" is a central processing unit that receives and analyzes driving data sent from user terminals, and generates and provides necessary information.

[0010] "Analysis" is the process of evaluating and calculating collected driving data to derive specific driving habits and behavior patterns.

[0011] "Fuel efficiency" is an index that evaluates the fuel economy of a vehicle based on the amount of fuel consumed per unit distance.

[0012] "Advice" is information that provides specific instructions or recommendations for improving the user's driving habits and increasing fuel efficiency.

[0013] "Eco-driving points" are evaluation points that users can earn by practicing eco-driving, and can be exchanged for donations to environmental protection activities or eco-friendly products.

[0014] "Real-time" is a term that refers to processing and feedback close to the moment the data is generated.

[0015] "Eco-driving" is a general term for a set of driving behaviors that include driving techniques and habits that maximize fuel efficiency and minimize environmental impact.

[0016] "Visualization" is the process of presenting operational data and analytical results in a user-friendly format. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9]1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0039] System configuration

[0040] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0041] User device functions

[0042] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and transmits it to the server.

[0043] Server Features

[0044] The server receives and stores driving data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits. The evaluation includes analyzing driving patterns such as sudden acceleration, idling time, and the proportion of constant speed driving based on data such as speed changes and accelerator pedal position.

[0045] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0046] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0047] Display function of user terminal

[0048] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0049] Example

[0050] Specific examples of the present invention will be described below.

[0051] Example 1: Data collection flow

[0052] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server then automatically analyzes the received data and evaluates the user's driving habits.

[0053] Example 2: Generating advice and awarding eco-driving points

[0054] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0055] Example 3: Ecology Challenge Notification

[0056] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0057] This concludes the description of the "Mode for Carrying Out the Invention." The system allows users to concretely improve their driving habits and maintain sustainable motivation.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) from the vehicle's control unit. The data is collected in real time and temporarily stored in local storage.

[0061] Step 2:

[0062] The user's terminal converts the temporarily stored driving data into a batch format at regular intervals (for example, every minute) and transmits it to a server via the Internet.

[0063] Step 3:

[0064] The server receives driving data sent from user terminals, stores the received data in a database, and assigns an index to each user.

[0065] Step 4:

[0066] The server analyzes the received driving data in real time, using analytical algorithms to evaluate speed changes, accelerator position, and braking frequency to calculate the percentage of sudden acceleration, idling, and constant speed driving.

[0067] Step 5:

[0068] The server generates specific advice for improving fuel efficiency based on the analysis results, such as "reducing sudden acceleration could improve fuel efficiency by 20%."

[0069] Step 6:

[0070] The server evaluates whether the user followed the advice and calculates eco-driving points based on that, using an algorithm that awards one point for each reduction in sudden acceleration, for example.

[0071] Step 7:

[0072] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[0073] Step 8:

[0074] The user's device receives advice, eco-driving points, and driving evaluation from the server and displays them to the user via a dedicated app or in-car display. The display format is visualized in an easy-to-understand manner using graphs and dashboards.

[0075] Step 9:

[0076] Users can review their daily driving habits based on the displayed advice and eco-driving points, and can also use the points they have accumulated to make donations or exchange for products in the app's "Ecology Challenge" section.

[0077] Through the above processing steps, the system of the present invention allows a user to improve their driving habits and maximize fuel efficiency.

[0078] Example 1

[0079] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0080] In recent years, there has been a growing emphasis on reducing environmental impact through eco-driving. However, there are insufficient means for users to understand their own driving habits and identify specific areas for improvement, making it difficult to maintain their motivation. In addition, there is a lack of systems that effectively utilize eco-driving points, which means users lack the motivation to actively engage in eco-driving.

[0081] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0082] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide the advice, points, and driving evaluation to the user; and a means for the user to exchange the eco-driving points for donations to environmental protection activities or sustainable products. This allows users to specifically understand their driving habits and recognize areas for improvement, thereby maintaining sustained motivation for eco-driving. The point system also promotes eco-driving efforts.

[0083] A "user terminal" is a device that uses a device or smartphone installed in a vehicle to collect driving data and transmit it to a server.

[0084] A "vehicle control unit" is a system that aggregates data from various sensors and devices within the vehicle and provides that data to external devices.

[0085] "Driving data" includes detailed information about the user's driving, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0086] The "server" is a computer system that receives and stores driving data sent from user devices, analyzes the data, and evaluates driving habits.

[0087] "Batching data" refers to a process for collecting collected operating data at regular intervals and efficiently transmitting the collected data to a server.

[0088] "Fuel efficiency" refers to the distance a vehicle can travel on a certain amount of fuel, and efficiency varies depending on driving method and conditions.

[0089] "Driving habit evaluation" is the process of quantifying and classifying a user's driving behavior based on collected driving data, and obtaining analytical results.

[0090] "Specific advice" refers to instructions or recommendations for improving driving that are provided to the user based on the analysis results.

[0091] "Eco-driving" is an environmentally friendly driving method that aims to improve fuel efficiency and reduce CO2 emissions.

[0092] "Eco-driving points" are points awarded to a user based on the results of eco-driving.

[0093] "Recording and management" is the process by which the server stores information such as driving data and eco-driving points and makes them accessible as needed.

[0094] "Notifying" refers to the act of the server sending specific information or a message to the user terminal to notify the user.

[0095] "Visualizing" refers to displaying information in a user-friendly format so that it can be visually confirmed.

[0096] "Environmental activities" refer to actions and projects aimed at preserving or improving the natural environment.

[0097] "Sustainable products" refer to products that have a low environmental impact and can be used for a long period of time.

[0098] MODE FOR CARRYING OUT THE INVENTION

[0099] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental conservation activities or sustainable products.

[0100] System configuration

[0101] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0102] User device functions

[0103] While a user is driving a vehicle, the user terminal collects driving data from the vehicle's control unit. The driving data includes detailed information such as speed, accelerator position, brake usage frequency, engine RPM, etc. The user terminal periodically creates batches of this data and transmits them to a server using a secure communication protocol (e.g., HTTPS).

[0104] Examples of hardware / software used:

[0105] Hardware: Vehicle OBD-II connector, smartphone

[0106] Software: Vehicle control units, data communication applications

[0107] Server Features

[0108] The server receives driving data sent from the user's device and stores it in a database (e.g., MySQL or PostgreSQL). It then analyzes this data in real time to evaluate the user's driving habits. The server uses analytical algorithms to analyze speed changes, accelerator position, braking frequency, idling time, etc. to identify the user's driving patterns. This processing is performed using data analysis tools (e.g., Apache Kafka, Spark).

[0109] Examples:

[0110] "For users who frequently accelerate suddenly, we will advise them to refrain from sudden acceleration to improve fuel efficiency."

[0111] The server generates specific advice based on the analysis results. For example, it generates a message such as, "Your fuel economy could improve by 20% by reducing sudden acceleration." This advice generation could use natural language processing (NLP) technology. Eco-driving points are also calculated based on the results of eco-driving, and points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points are awarded to the user.

[0112] Examples of hardware / software used:

[0113] Hardware: Servers, database servers

[0114] Software: Database management systems (e.g., MySQL), real-time analytics systems (e.g., Apache Kafka)

[0115] Display function of user terminal

[0116] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0117] Examples of hardware / software used:

[0118] Hardware: Smartphones, tablets

[0119] Software: Mobile application

[0120] Example

[0121] Specific examples of the present invention will be described below.

[0122] Example 1: Data collection flow

[0123] While a user is driving a vehicle, the user's device collects data such as speed, accelerator position, and brake usage frequency every minute and sends it to the server in batches. The server automatically analyzes the received data and evaluates driving habits.

[0124] Example 2: Generating advice and awarding eco-driving points

[0125] The server provides specific advice to users who frequently accelerate suddenly, such as "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0126] Example 3: Ecology Challenge Notification

[0127] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for sustainable products." The user can then access the sustainable product exchange page from their device and use their points to acquire the products.

[0128] Prompt Sentence Examples

[0129] Here are some examples of prompts to input to a generative AI model:

[0130] "Your program will collect data while the user is driving a vehicle, use that data to analyze their driving habits, and provide advice on maximizing fuel efficiency. You will also need to implement a feature that awards points for eco-driving and sends a notification when a certain number of points are reached."

[0131] The above is a detailed description of the specific configuration and functions of the embodiment of the present invention, which allows users to specifically improve their driving habits and have sustainable motivation.

[0132] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0133] Step 1:

[0134] When a user drives a vehicle, the user device collects driving data in real time from the vehicle's control unit. The inputs include driving data such as speed, accelerator position, brake usage frequency, engine RPM, etc. This data is obtained from sensors and stored on the user device. The output is a batch of collected driving data.

[0135] Specifically, the software on the user terminal acquires data via the vehicle's OBD-II connector, etc., and compiles the data into batches at regular intervals.

[0136] Step 2:

[0137] The user terminal sends the collected driving data to the server in batch format at regular intervals (e.g., every minute). The input is the batch of driving data generated in step 1. The data is sent using a secure communication protocol such as HTTPS. The output is a notification that the data has been sent to the server.

[0138] Specifically, the communication module on the user terminal transmits data to the server via the Internet.

[0139] Step 3:

[0140] The server receives driving data sent from the user terminal and stores it in a database. The input is a batch of driving data. The server stores the data in a database management system (e.g., MySQL) along with a timestamp. The output is a confirmation that the data was successfully saved.

[0141] Specifically, the receiving module on the server side receives the data and writes the batch data to the database.

[0142] Step 4:

[0143] The server analyzes the stored data in real time. The input is driving data retrieved from the database. The server processes the data using analytical algorithms to identify driving patterns such as speed changes, accelerator position, braking frequency, and idling time. The output is an assessment of driving habits.

[0144] Specifically, the server's calculation module processes the data and performs pattern analysis.

[0145] Step 5:

[0146] The server evaluates driving habits and generates specific advice. The input is the evaluation result of driving habits obtained in step 4. Based on the evaluation result, the server generates an advice message such as "Reducing sudden acceleration will improve fuel efficiency." The output is the generated advice.

[0147] Specifically, messages are generated within the server using natural language processing (NLP) technology.

[0148] Step 6:

[0149] The server evaluates the results of eco-driving and calculates eco-driving points. The inputs are the evaluation results of driving habits and the amount of CO2 reduction. The server calculates and awards appropriate eco-driving points based on the amount of CO2 reduction. The output is the calculated points.

[0150] Specifically, the server script calculates the eco-driving points.

[0151] Step 7:

[0152] The server records and manages eco-driving points and notifies the user. The input is the calculated eco-driving points. The server saves the point data in a database and sends a notification message to the user. The output is a notification that the notification has been sent.

[0153] Specifically, the server's notification module writes the point information to the database and sends a notification to the user terminal.

[0154] Step 8:

[0155] The user terminal receives advice, eco-driving points, and driving evaluation from the server and visually displays them. The input is advice and point information sent from the server. The user terminal displays this in a dashboard format. The output is a display screen on which the user can visually check the information.

[0156] Specifically, the display module of the user terminal analyzes the received data and displays it to the user using a GUI.

[0157] (Application example 1)

[0158] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0159] Conventional eco-driving support systems lack the real-time capability and ability to provide specific advice when collecting and analyzing driving data, making it difficult for users to quickly improve their behavior. Furthermore, when awarding and managing eco-driving points, they lack a function that allows users to immediately grasp the results. This makes it difficult to maintain motivation for environmental protection activities and product exchanges over the long term. Furthermore, there are limited methods for connecting to vehicles when collecting driving data, which limits the versatility of data collection.

[0160] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0161] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide advice, points, and driving evaluations to the user; a means for the user to exchange eco-driving points for donations to environmental protection activities or eco-friendly products; a means for collecting driving data from the vehicle in real time via Bluetooth; a means for transmitting the driving data to the server and receiving driving habit analysis results and advice in real time; and a means for the user to receive specific advice based on the results of their eco-driving practices. This allows users to improve their driving habits in real time, instantly understand the effects of eco-driving, and maintain their motivation. Furthermore, data collection via Bluetooth allows for flexible vehicle connection methods, enabling use with a variety of vehicles.

[0162] A "user terminal" is a device that collects vehicle driving data, transmits it to a server, and provides advice and point information from the server to the user.

[0163] The "vehicle control unit" is a control device within the vehicle that manages the vehicle's operating status and various operation data, and provides data to the user terminal.

[0164] "Driving data" is a general term for information that indicates the user's driving habits, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0165] The "server" is a central control device that collects and analyzes driving data, generates advice for improving fuel efficiency, and manages eco-driving points.

[0166] "Real-time" refers to a time frame in which data and information are processed and results are provided almost immediately at the moment they are collected.

[0167] "Bluetooth" is a short-range wireless communication technology that allows data to be exchanged wirelessly between a vehicle and a user terminal.

[0168] "Fuel efficiency" is an index that indicates the efficiency of driving to optimize the distance traveled per unit of fuel.

[0169] "Specific advice" is specific, actionable instructions or suggestions for improving a user's driving habits based on driving data.

[0170] "Eco-driving points" are reward points awarded to users based on the results of eco-friendly driving.

[0171] The "Ecology Challenge" is a program that allows users to use the eco-driving points they have earned to donate to environmental conservation activities or exchange them for eco-friendly products.

[0172] The "driving evaluation" is the result of the server analyzing the driving data using statistical methods and evaluating the user's driving habits.

[0173] "Visualization" refers to the process of presenting data or information in a way that is easily understandable to users.

[0174] The present invention is a system that analyzes a user's driving data and provides specific advice to maximize fuel efficiency. The system collects driving data in real time, evaluates driving habits, and awards users eco-driving points, offering an ecological challenge that allows users to donate to environmental protection activities or exchange points for products.

[0175] System configuration

[0176] This system consists of three main components: a user terminal, a vehicle control unit, and a server. Each component functions as follows:

[0177] User device functions

[0178] The user terminal collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The data is also batched at regular intervals and sent to the server. This transmission process uses the HTTP protocol.

[0179] Server Features

[0180] The server receives driving data sent from the user's device and stores it in a database. The received data is analyzed in real time to evaluate the user's driving habits. Statistical methods are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving from data such as speed changes and accelerator opening. Specific advice for improving fuel efficiency is then generated.

[0181] For example, it generates a message such as "By reducing sudden acceleration, fuel economy may be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points based on the amount of CO2 reduced, which are awarded to the user. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0182] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange their points for eco-friendly products.

[0183] Display function of user terminal

[0184] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving resulted in an average speed of 60 km / h, fuel efficiency of 15 km / L, and CO2 reduction of 2 kg" is displayed in dashboard format.

[0185] Specific examples

[0186] 1. Data collection flow

[0187] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server analyzes the received data in real time and evaluates driving habits.

[0188] 2. Generating advice and awarding eco-driving points

[0189] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0190] 3. Ecology Challenge Notification

[0191] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0192] Prompt Sentence Examples

[0193] Examples of prompts for generative AI models include:

[0194] Analyze driving data and provide advice to users on how to improve fuel efficiency. Current data is: {Driving Data}

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

[0196] Step 1:

[0197] The user device collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The input is vehicle sensor data, which the device temporarily stores.

[0198] Step 2:

[0199] The data is collected in batch format at regular intervals and sent to the server using the HTTP protocol. The input is the collected driving data batch, and the output is the data to be sent to the server. The terminal formats the data appropriately at the time of transmission.

[0200] Step 3:

[0201] The server stores the received driving data in a database. The input is the data sent from the terminal, and the output is the formatted data stored in the database. The server checks the consistency of the data, and records an error log if there is an inconsistency.

[0202] Step 4:

[0203] The server analyzes driving data in real time. Statistical methods are used for the analysis, and data such as speed changes and throttle position are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving. The input is the driving data read from the database, and the output is the analysis results. The server generates a score to evaluate driving habits based on the analysis results.

[0204] Step 5:

[0205] The server generates specific advice to improve fuel efficiency. The generated advice might be in the form of, for example, "reducing sudden acceleration will improve fuel efficiency by 20%." The input is the analysis results, and the output is driving improvement advice. The server automatically generates specific advice using a generative AI model.

[0206] Step 6:

[0207] The server evaluates the results of eco-driving, calculates eco-driving points based on the amount of CO2 reduced, and awards them to the user. The input is driving data and analysis results, and the output is the calculated points. The server executes the point awarding logic and records the points in a database.

[0208] Step 7:

[0209] The server records and manages eco-driving points and notifies the user. The input is the calculated points, and the output is a notification message to the user's terminal. The server generates a reminder when a certain number of points is reached, for example, 200 points, that can be exchanged for eco-friendly products.

[0210] Step 8:

[0211] The user device receives advice, eco-driving points, and driving evaluation from the server in real time, visualizes them, and provides them to the user. The input is the message sent from the server, and the output is the information displayed to the user. The user device visualizes the information in a dashboard format using a GUI.

[0212] Step 9:

[0213] Users can accumulate eco-driving points, and when they reach a certain number of points, they can donate them to environmental protection activities or exchange them for eco-friendly products. The input is the accumulated eco-driving points, and the output is a message that the donation procedure has been completed or a message confirming the exchange of products. The user terminal provides screens for these procedures, making them easy for users to operate.

[0214] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0215] This invention combines a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency with an emotion engine that recognizes and analyzes the user's emotions. This system also offers an "Ecology Challenge" where users can accumulate points every time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0216] System configuration

[0217] This system consists of four main components: a user terminal, a vehicle control unit, a server, and an emotion engine. The functions and roles of each component are explained below.

[0218] User device functions

[0219] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and sends it to the server. The user terminal also analyzes the user's facial expressions and voice to generate emotion data for use by the emotion engine.

[0220] Server Features

[0221] The server receives and stores driving and emotional data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits and emotional state. The evaluation includes analyzing driving and emotional patterns such as sudden acceleration, idling time, the percentage of constant speed driving, and emotional changes based on basic data such as speed changes and accelerator opening.

[0222] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction and emotional data. For example, if a user reduces CO2 by 2 kg in one day and maintains a positive emotional state, they will be awarded 50 points.

[0223] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0224] Emotion Engine Functions

[0225] The emotion engine recognizes the user's emotional state from facial expressions, voice, and other biometric information, thereby understanding the user's emotional state in real time while driving and sending that information to the server.

[0226] Display function of user terminal

[0227] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this information, fuel efficiency, driving evaluation, CO2 reduction, emotional state, etc. are visualized and provided to the user in an easy-to-understand format. For example, information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[0228] Example

[0229] Specific examples of the present invention will be described below.

[0230] Example 1: Data collection flow

[0231] While the user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received driving and emotional data and evaluates the user's driving and emotional habits.

[0232] Example 2: Generating advice and awarding eco-driving points

[0233] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, the server analyzes the impact of the user's emotional state on driving, and if the user's emotional state is good, it generates additional advice such as "stabilizing emotions will make driving safer." If the user follows the advice and reduces sudden acceleration, and their emotional state is also stable, they are awarded appropriate eco-driving points based on the amount of CO2 reduced in a day and their emotional data.

[0234] Example 3: Ecology Challenge Notification

[0235] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0236] This concludes the description of the preferred embodiment of the present invention. The system allows users to concretely improve their driving habits and emotional state, and to maintain sustainable motivation.

[0237] The processing flow will be explained below.

[0238] Step 1:

[0239] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) in real time from the vehicle's control unit. At the same time, the emotion engine analyzes the user's facial expressions and voice to generate emotion data.

[0240] Step 2:

[0241] The user's device converts the temporarily stored driving data and emotion data into a batch format at regular intervals (for example, every minute) and sends it to the server.

[0242] Step 3:

[0243] The server receives the driving data and emotion data sent from the user terminal, stores the received data in a database, and assigns an index to each user.

[0244] Step 4:

[0245] The server analyzes the received driving data and emotional data in real time, including driving data such as speed changes, accelerator position, and frequency of braking, as well as emotional data derived from facial expressions and voice.

[0246] Step 5:

[0247] The server evaluates the user's driving habits and emotional state based on the driving data and emotional data, such as detecting the frequency of sudden acceleration, idling time, percentage of constant speed driving, and emotional changes such as joy, anger, sadness, and happiness.

[0248] Step 6:

[0249] Based on the evaluation results, the server generates specific advice to provide to the user to improve fuel efficiency. For example, if the frequency of sudden acceleration is high, the server may generate advice such as "Your fuel efficiency could improve by 20% by reducing sudden acceleration," and if stressful driving is inferred from emotional data, the server may add advice such as "Try to drive in a relaxed manner."

[0250] Step 7:

[0251] The server evaluates the user's eco-driving performance and emotional state, and calculates eco-driving points based on the evaluation. For example, points are awarded for reducing sudden acceleration and maintaining a positive emotional state.

[0252] Step 8:

[0253] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[0254] Step 9:

[0255] The user's device receives advice, eco-driving points, and driving and emotional evaluations from the server in real time, and displays them to the user through a dedicated app or in-car display. For example, it displays "Today's driving average speed: 60km / h, fuel economy: 15km / L, CO2 reduction: 2kg, emotional state: good."

[0256] Step 10:

[0257] Users can review the displayed advice and eco-driving points, review their daily driving habits, and drive while being mindful of their emotional state. They can also redeem their accumulated points for donations or eco-friendly products in the "Ecology Challenge" section of the app.

[0258] Through the above processing steps, the system of the present invention can evaluate and improve the user's driving habits and emotional state, thereby improving fuel efficiency and driving quality.

[0259] Example 2

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

[0261] Conventional driving evaluation systems have difficulty providing specific advice on improving users' driving patterns and energy consumption efficiency. Furthermore, they do not take into account users' emotional states, which affect their driving habits, making it difficult to motivate users to continue eco-driving. Furthermore, they do not provide a concrete way for users to donate eco-driving points to environmental conservation activities or exchange them for eco-friendly products.

[0262] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing operation information and generating specific advice for improving energy consumption efficiency, means for evaluating the results of eco-driving and calculating eco-driving points, and means for receiving and saving emotion data and evaluating driving and emotional habits. This makes it possible to provide evaluations and advice that take into account the user's driving patterns and emotional state, promote sustainable eco-driving, and make specific use of eco-driving points.

[0263] A "user terminal" is a device that collects operation information of a mobile object used by a user and transmits it to a server.

[0264] A "vehicle" is an operable machine, including a vehicle or other means of transportation.

[0265] A "control device" is a device for controlling the operation of a mobile object, and is a unit that provides operation information.

[0266] "Operation information" is data related to driving a mobile object, and includes speed, accelerator opening, frequency of brake use, engine speed, and the like.

[0267] "Server" refers to a computer system that receives, stores, and analyzes data sent from user terminals and provides advice and evaluations to users.

[0268] "Energy consumption efficiency" is the degree to which the amount of energy consumed to perform a certain task is efficiently minimized.

[0269] "Advice" is a specific suggestion or instruction to improve the user's driving habits.

[0270] "Eco-driving" is a way of driving that minimizes energy consumption and is environmentally friendly.

[0271] "Eco-driving points" are points awarded to a user in response to the execution of eco-driving.

[0272] "Natural environment conservation activities" are activities aimed at maintaining and restoring the global environment.

[0273] "Eco products" are products made using environmentally friendly materials and manufacturing methods.

[0274] "Facial expressions and voice" refers to the user's facial movements and the tone and content of their voice, and is data used to estimate the user's emotional state.

[0275] "Emotion data" refers to information on emotions estimated from a user's facial expressions and voice. This invention relates to a system that analyzes a user's driving habits and emotional state in real time, and provides advice and awards points to promote eco-driving. This system is composed of multiple hardware and software components, including a user terminal, a vehicle control unit (ECU), a server, and an emotion engine.

[0276] User device functions

[0277] The user terminal is installed inside the vehicle and collects operation information in real time from the vehicle's control device. The collected operation information includes speed, accelerator position, brake usage frequency, and engine RPM. The user terminal uses a front camera and microphone to analyze the user's facial expressions and voice, and generates emotion data based on this. The user terminal periodically batches the collected data and sends it to the server.

[0278] Server Features

[0279] The server receives operation information and emotional data sent from the user's device and stores it in a database. The stored data is analyzed in real time to evaluate driving patterns and emotional states. For example, driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving are analyzed. Emotional data provided by the emotion engine is also taken into account to evaluate the user's stress level and emotional stability. Based on this, the server generates specific advice for improving energy consumption efficiency. For example, a message such as "reducing sudden acceleration could improve fuel efficiency by 20%" is generated.

[0280] Eco-driving points awarded

[0281] The server calculates eco-driving points based on the user's driving data and emotional data. For example, if a user reduces 2 kg of CO2 in one day and maintains a positive emotional state, 50 points will be awarded to the user. These points are recorded in the user's account and accumulated. When the points reach a certain threshold (for example, 200 points), the user is notified that they can be exchanged for eco-friendly products. Based on this notification, the user can use the points to donate to environmental conservation activities or exchange them for eco-friendly products.

[0282] Emotion Engine Functions

[0283] The emotion engine recognizes the user's emotional state in real time based on their facial expressions, voice, and biometric information. The evaluation results from the emotion engine are sent to a server and analyzed together with driving data. This data is used to determine how emotions affect the user's driving performance, and advice is provided to promote safe and eco-friendly driving.

[0284] Display function of user terminal

[0285] The user's device displays the advice, eco-driving points, and driving evaluation received from the server in real time. For example, information such as "Today's driving average speed: 60 km / h, fuel economy: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is visualized in a dashboard format. This allows the user to understand their driving habits and emotional state at a glance, motivating them to continue eco-driving.

[0286] Example

[0287] Specific examples of the present invention will be described below.

[0288] Example 1: Data collection flow

[0289] While the user is driving, the user's device collects operational information such as speed, accelerator position, and braking frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received data and evaluates the user's driving habits and emotional state.

[0290] Prompt Sentence Examples

[0291] "How can we collect driving and emotional data from users while driving a car and send it to a server in real time?"

[0292] Example 2: Generating advice and awarding eco-driving points

[0293] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, if the user's emotional state is good based on the emotional data, the server generates additional advice such as "stabilizing emotions will make it easier to drive safely." If the user follows the advice to reduce sudden acceleration and maintains a stable emotional state, appropriate eco-driving points are awarded based on the amount of CO2 reduced in a day and the emotional data.

[0294] Prompt Sentence Examples

[0295] "How can we analyze a user's driving and emotional data and generate specific recommendations to improve fuel economy?"

[0296] Example 3: Ecology Challenge Notification

[0297] When a user accumulates eco-driving points and reaches 200 points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can then access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0298] Prompt Sentence Examples

[0299] "How can I send a notification to users who have accumulated 200 eco-driving points to exchange them for eco-friendly products?"

[0300] This concludes the detailed description of the invention. The system allows users to make concrete improvements to their driving habits and emotional state, and to maintain sustainable motivation.

[0301] The flow of the specific processing in the second embodiment will be described with reference to Fig. 13.

[0302] Step 1: Data collection

[0303] input:

[0304] Operational information when the user drives a vehicle (speed, accelerator position, frequency of brake use, engine RPM), as well as facial expression and voice data.

[0305] Operation:

[0306] The user device collects operational information from the vehicle's control unit (ECU) in real time, and simultaneously captures the user's facial expressions and voice using a front camera and microphone, and generates emotion data using an emotion engine.

[0307] output:

[0308] A batch of operational information and emotion data.

[0309] Step 2: Send data

[0310] input:

[0311] The batch of operation information and emotion data generated in step 1.

[0312] Operation:

[0313] The user terminal generates batches of operation information and emotion data at regular intervals and transmits them to the server.

[0314] output:

[0315] A batch of operation information and emotion data sent to the server.

[0316] Step 3: Receiving and storing data

[0317] input:

[0318] A batch of operation information and emotion data sent from the user device.

[0319] Operation:

[0320] The server stores the operation information and emotion data received from the user device in a database, which is organized in chronological order.

[0321] output:

[0322] Organized and stored operational information and emotional data.

[0323] Step 4: Data analysis

[0324] input:

[0325] Operation information and emotion data stored in a database.

[0326] Operation:

[0327] The server analyzes the stored operation information to detect driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving. It also evaluates emotional data and analyzes changes in the user's emotional state. Based on these analysis results, it generates specific advice for improving energy consumption efficiency.

[0328] output:

[0329] Driving pattern evaluation results and specific advice.

[0330] Step 5: Calculating eco-driving points

[0331] input:

[0332] Data analysis results (driving pattern evaluation results and emotional state).

[0333] Operation:

[0334] The server calculates eco-driving points based on the evaluation of driving patterns and changes in emotional data. Points are awarded based on the amount of CO2 reduction and emotional stability.

[0335] output:

[0336] Calculated eco-driving points.

[0337] Step 6: Record and manage points

[0338] input:

[0339] Calculated eco-driving points.

[0340] Operation:

[0341] The server records the calculated eco-driving points in the user's account and manages their accumulation. When the points reach a certain threshold, it generates a notification to the user.

[0342] output:

[0343] Recorded eco driving points and notifications.

[0344] Step 7: User feedback

[0345] input:

[0346] Driving pattern evaluation results, specific advice, and eco-driving tips.

[0347] Operation:

[0348] The user device visualizes the evaluation results, advice, and eco-driving points received from the server and provides them to the user. Information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[0349] output:

[0350] Feedback information provided to the user (evaluation results, specific advice, eco-driving points).

[0351] The above is the specific flow of processing by the program of this system. At each step, data processing or data calculation is performed based on the input data to generate the respective output.

[0352] (Application example 2)

[0353] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0354] While conventional technologies analyze a user's driving habits and provide advice to improve fuel efficiency, they do not take into account the impact of the user's emotional state on driving, which means that stress and anxiety while driving can have a negative impact on fuel efficiency. Furthermore, evaluation of the results of eco-driving practices is limited to quantitative data, and no comprehensive evaluation that reflects the user's emotional state has been performed. As a result, it has been difficult to maintain the user's sustainable motivation.

[0355] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0356] In this invention, the server includes a means for the user terminal to collect driving data, a means for transmitting the driving data to the server, a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency, a means for the server to analyze emotional data and generate advice taking the emotional state into consideration, and a means for the server to evaluate the results of eco-driving and calculate eco-driving points. This enables more accurate advice for improving fuel efficiency and a comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[0357] A "user terminal" is a device that allows a user to collect driving data and emotional data in a vehicle and transmit them to a server.

[0358] A "vehicle control unit" is a device for monitoring and controlling the driving state of a vehicle and acquiring driving data.

[0359] "Driving data" refers to various information related to driving, such as vehicle speed, accelerator position, frequency of brake use, and engine speed.

[0360] A "server" is a device that receives, stores, and analyzes data sent from a user terminal, and provides specific advice and evaluations to the user.

[0361] "Emotion data" is information about the emotional state extracted from the user's facial expression, voice, etc.

[0362] "Fuel efficiency improvement advice" refers to specific instructions and suggestions for reducing fuel consumption based on an analysis of the user's driving habits.

[0363] "Eco-driving" refers to optimizing fuel efficiency and practicing environmentally friendly driving practices.

[0364] "Eco-driving points" are points awarded based on the results of a user's eco-driving, and these points provide the user with an incentive to contribute to environmental conservation activities, etc.

[0365] "Emotional state" refers to the user's emotional or psychological state while driving, such as being relaxed or tense.

[0366] "Statistical methods" are mathematical and computational methods for analyzing driving and emotional data and extracting useful information.

[0367] This invention relates to a system that collects and analyzes vehicle driving data and user emotional data, and provides specific advice to maximize fuel efficiency. This system also provides an "Ecology Challenge" where users can accumulate points every time they practice eco-driving, and can exchange these points for donations to environmental protection activities or eco-friendly products.

[0368] The main components of the system include a user terminal, a vehicle control unit, a server, and an emotion engine.

[0369] User device functions

[0370] The user device collects driving data from the vehicle's control unit and transmits it to the server. The driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The user device also uses the smartphone's camera and microphone to analyze the user's facial expressions and voice to generate emotion data.

[0371] Server Features

[0372] The server receives and stores driving and emotional data sent from the user's device. It then analyzes this data in real time to evaluate the user's driving habits and emotional state. The evaluation includes not only an analysis of driving habits based on basic data such as speed changes and accelerator pedal position, but also the user's emotional changes. The server performs an integrated analysis of the driving and emotional data. This allows it to generate advice to improve fuel efficiency and stabilize the user's emotional state. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%."

[0373] The server also calculates eco-driving points based on the results of eco-driving. These points are awarded based on driving data and emotional data. For example, if a user reduces CO2 emissions by 2 kg in one day and has a good emotional state, 50 points will be awarded to the user. The server records and manages eco-driving points and generates notifications when the user reaches a certain number of points. For example, if the user reaches 200 points, the server will send a reminder that the points can be exchanged for eco-friendly products.

[0374] Emotion Engine Functions

[0375] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state in real time. This is done using the smartphone's camera and microphone. The emotion data generated by the emotion engine is sent to a server and analyzed in conjunction with driving data.

[0376] Specific examples

[0377] While a user is riding in an autonomous vehicle, the user device (smartphone camera and microphone) analyzes the user's facial expressions and voice to monitor their emotional state in real time. At the same time, driving data (speed, accelerator position, etc.) is collected from the vehicle's control unit. This data is periodically sent to a server, which then performs an integrated analysis. For example, if the user is in a relaxed state, advice such as "Your emotions are stable, which will make it easier for you to drive safely" is provided. Furthermore, if the user reduces sudden acceleration, specific advice such as "Reducing sudden acceleration will improve fuel efficiency" is also provided.

[0378] Example prompt sentence:

[0379] "Please provide eco-driving advice that should be given to the user while they are in an autonomous vehicle with a relaxed expression."

[0380] This system will enable more accurate fuel efficiency improvement advice and comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[0381] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0382] Step 1:

[0383] The user terminal collects driving data from the vehicle's control unit. The input is driving data from the control unit (speed, accelerator position, frequency of brake use, engine RPM, etc.), and the output is this driving data. The user terminal temporarily stores the data received from the control unit.

[0384] Step 2:

[0385] The user device uses the smartphone's camera and microphone to detect the user's facial expressions and voice and generate emotion data. The input is camera footage and audio data, and the output is emotion data analyzed by the emotion engine. In this process, facial recognition software and audio analysis models are used to detect the user's emotional state in real time.

[0386] Step 3:

[0387] The user device periodically sends the collected driving data and emotion data to the server in batches. The input is the driving data and emotion data stored on the user device, and the output is the data batch sent to the server. The user device executes this process periodically to ensure a stable data flow.

[0388] Step 4:

[0389] The server stores the received driving and emotion data and begins analysis. The input is the data batch sent from the user device, and the output is the raw data stored in the database. The server stores the received data for later analysis.

[0390] Step 5:

[0391] The server analyzes the driving data and evaluates driving habits. The input is the driving data saved in step 4, and the output is the evaluation results such as sudden acceleration, idling time, and the percentage of driving at a constant speed. The server analyzes this data using statistical methods.

[0392] Step 6:

[0393] The server analyzes the emotion data and evaluates the user's emotional state. The input is the emotion data saved in step 4, and the output is the evaluation result of the user's emotional state (e.g., relaxed, nervous, etc.). The server analyzes the emotion data using an emotion engine.

[0394] Step 7:

[0395] The server integrates driving data and emotional data to perform a comprehensive evaluation. The input is the evaluation results from Steps 5 and 6, and the output is specific advice for improving fuel efficiency. The server combines these data to generate more accurate advice.

[0396] Step 8:

[0397] The server generates advice for improving fuel efficiency and sends it to the user's device. The input is the evaluation result of step 7, and the output is advice displayed on the user's device. The server does this in real time and provides it to the user.

[0398] Step 9:

[0399] The user terminal displays the advice received from the server to the user. The input is the advice sent from the server, and the output is the advice displayed on the user terminal. The user terminal displays this visually so that the user can easily understand it.

[0400] Step 10:

[0401] The server evaluates the results of eco-driving and calculates eco-driving points. The input is the results of eco-driving based on driving data and emotion data, and the output is eco-driving points. The server records this and manages the accumulated points.

[0402] Step 11:

[0403] Users exchange their eco-driving points for donations to environmental conservation activities or eco-friendly products. The input is the accumulated eco-driving points, and the output is the donation or exchanged product. The exchange page can be accessed from the user's device, and the server sends a notification.

[0404] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0405] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0406] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0407] [Second embodiment]

[0408] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0409] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0410] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0411] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0412] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0413] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0414] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0415] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0416] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0417] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0418] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0419] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0420] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0421] System configuration

[0422] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0423] User device functions

[0424] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and transmits it to the server.

[0425] Server Features

[0426] The server receives and stores driving data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits. The evaluation includes analyzing driving patterns such as sudden acceleration, idling time, and the proportion of constant speed driving based on data such as speed changes and accelerator pedal position.

[0427] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0428] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0429] Display function of user terminal

[0430] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0431] Example

[0432] Specific examples of the present invention will be described below.

[0433] Example 1: Data collection flow

[0434] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server then automatically analyzes the received data and evaluates the user's driving habits.

[0435] Example 2: Generating advice and awarding eco-driving points

[0436] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0437] Example 3: Ecology Challenge Notification

[0438] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0439] This concludes the description of the "Mode for Carrying Out the Invention." The system allows users to concretely improve their driving habits and maintain sustainable motivation.

[0440] The processing flow will be explained below.

[0441] Step 1:

[0442] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) from the vehicle's control unit. The data is collected in real time and temporarily stored in local storage.

[0443] Step 2:

[0444] The user's terminal converts the temporarily stored driving data into a batch format at regular intervals (for example, every minute) and transmits it to a server via the Internet.

[0445] Step 3:

[0446] The server receives driving data sent from user terminals, stores the received data in a database, and assigns an index to each user.

[0447] Step 4:

[0448] The server analyzes the received driving data in real time, using analytical algorithms to evaluate speed changes, accelerator position, and braking frequency to calculate the percentage of sudden acceleration, idling, and constant speed driving.

[0449] Step 5:

[0450] The server generates specific advice for improving fuel efficiency based on the analysis results, such as "reducing sudden acceleration could improve fuel efficiency by 20%."

[0451] Step 6:

[0452] The server evaluates whether the user followed the advice and calculates eco-driving points based on that, using an algorithm that awards one point for each reduction in sudden acceleration, for example.

[0453] Step 7:

[0454] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[0455] Step 8:

[0456] The user's device receives advice, eco-driving points, and driving evaluation from the server and displays them to the user via a dedicated app or in-car display. The display format is visualized in an easy-to-understand manner using graphs and dashboards.

[0457] Step 9:

[0458] Users can review their daily driving habits based on the displayed advice and eco-driving points, and can also use the points they have accumulated to make donations or exchange for products in the app's "Ecology Challenge" section.

[0459] Through the above processing steps, the system of the present invention allows a user to improve their driving habits and maximize fuel efficiency.

[0460] Example 1

[0461] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0462] In recent years, there has been a growing emphasis on reducing environmental impact through eco-driving. However, there are insufficient means for users to understand their own driving habits and identify specific areas for improvement, making it difficult to maintain their motivation. In addition, there is a lack of systems that effectively utilize eco-driving points, which means users lack the motivation to actively engage in eco-driving.

[0463] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0464] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide the advice, points, and driving evaluation to the user; and a means for the user to exchange the eco-driving points for donations to environmental protection activities or sustainable products. This allows users to specifically understand their driving habits and recognize areas for improvement, thereby maintaining sustained motivation for eco-driving. The point system also promotes eco-driving efforts.

[0465] A "user terminal" is a device that uses a device or smartphone installed in a vehicle to collect driving data and transmit it to a server.

[0466] A "vehicle control unit" is a system that aggregates data from various sensors and devices within the vehicle and provides that data to external devices.

[0467] "Driving data" includes detailed information about the user's driving, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0468] The "server" is a computer system that receives and stores driving data sent from user devices, analyzes the data, and evaluates driving habits.

[0469] "Batching data" refers to a process for collecting collected operating data at regular intervals and efficiently transmitting the collected data to a server.

[0470] "Fuel efficiency" refers to the distance a vehicle can travel on a certain amount of fuel, and efficiency varies depending on driving method and conditions.

[0471] "Driving habit evaluation" is the process of quantifying and classifying a user's driving behavior based on collected driving data, and obtaining analytical results.

[0472] "Specific advice" refers to instructions or recommendations for improving driving that are provided to the user based on the analysis results.

[0473] "Eco-driving" is an environmentally friendly driving method that aims to improve fuel efficiency and reduce CO2 emissions.

[0474] "Eco-driving points" are points awarded to a user based on the results of eco-driving.

[0475] "Recording and management" is the process by which the server stores information such as driving data and eco-driving points and makes them accessible as needed.

[0476] "Notifying" refers to the act of the server sending specific information or a message to the user terminal to notify the user.

[0477] "Visualizing" refers to displaying information in a user-friendly format so that it can be visually confirmed.

[0478] "Environmental activities" refer to actions and projects aimed at preserving or improving the natural environment.

[0479] "Sustainable products" refer to products that have a low environmental impact and can be used for a long period of time.

[0480] MODE FOR CARRYING OUT THE INVENTION

[0481] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental conservation activities or sustainable products.

[0482] System configuration

[0483] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0484] User device functions

[0485] While a user is driving a vehicle, the user terminal collects driving data from the vehicle's control unit. The driving data includes detailed information such as speed, accelerator position, brake usage frequency, engine RPM, etc. The user terminal periodically creates batches of this data and transmits them to a server using a secure communication protocol (e.g., HTTPS).

[0486] Examples of hardware / software used:

[0487] Hardware: Vehicle OBD-II connector, smartphone

[0488] Software: Vehicle control units, data communication applications

[0489] Server Features

[0490] The server receives driving data sent from the user's device and stores it in a database (e.g., MySQL or PostgreSQL). It then analyzes this data in real time to evaluate the user's driving habits. The server uses analytical algorithms to analyze speed changes, accelerator position, braking frequency, idling time, etc. to identify the user's driving patterns. This processing is performed using data analysis tools (e.g., Apache Kafka, Spark).

[0491] Examples:

[0492] "For users who frequently accelerate suddenly, we will advise them to refrain from sudden acceleration to improve fuel efficiency."

[0493] The server generates specific advice based on the analysis results. For example, it generates a message such as, "Your fuel economy could improve by 20% by reducing sudden acceleration." This advice generation could use natural language processing (NLP) technology. Eco-driving points are also calculated based on the results of eco-driving, and points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points are awarded to the user.

[0494] Examples of hardware / software used:

[0495] Hardware: Servers, database servers

[0496] Software: Database management systems (e.g., MySQL), real-time analytics systems (e.g., Apache Kafka)

[0497] Display function of user terminal

[0498] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0499] Examples of hardware / software used:

[0500] Hardware: Smartphones, tablets

[0501] Software: Mobile application

[0502] Example

[0503] Specific examples of the present invention will be described below.

[0504] Example 1: Data collection flow

[0505] While a user is driving a vehicle, the user's device collects data such as speed, accelerator position, and brake usage frequency every minute and sends it to the server in batches. The server automatically analyzes the received data and evaluates driving habits.

[0506] Example 2: Generating advice and awarding eco-driving points

[0507] The server provides specific advice to users who frequently accelerate suddenly, such as "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0508] Example 3: Ecology Challenge Notification

[0509] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for sustainable products." The user can then access the sustainable product exchange page from their device and use their points to acquire the products.

[0510] Prompt Sentence Examples

[0511] Here are some examples of prompts to input to a generative AI model:

[0512] "Your program will collect data while the user is driving a vehicle, use that data to analyze their driving habits, and provide advice on maximizing fuel efficiency. You will also need to implement a feature that awards points for eco-driving and sends a notification when a certain number of points are reached."

[0513] The above is a detailed description of the specific configuration and functions of the embodiment of the present invention, which allows users to specifically improve their driving habits and have sustainable motivation.

[0514] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0515] Step 1:

[0516] When a user drives a vehicle, the user device collects driving data in real time from the vehicle's control unit. The inputs include driving data such as speed, accelerator position, brake usage frequency, engine RPM, etc. This data is obtained from sensors and stored on the user device. The output is a batch of collected driving data.

[0517] Specifically, the software on the user terminal acquires data via the vehicle's OBD-II connector, etc., and compiles the data into batches at regular intervals.

[0518] Step 2:

[0519] The user terminal sends the collected driving data to the server in batch format at regular intervals (e.g., every minute). The input is the batch of driving data generated in step 1. The data is sent using a secure communication protocol such as HTTPS. The output is a notification that the data has been sent to the server.

[0520] Specifically, the communication module on the user terminal transmits data to the server via the Internet.

[0521] Step 3:

[0522] The server receives driving data sent from the user terminal and stores it in a database. The input is a batch of driving data. The server stores the data in a database management system (e.g., MySQL) along with a timestamp. The output is a confirmation that the data was successfully saved.

[0523] Specifically, the receiving module on the server side receives the data and writes the batch data to the database.

[0524] Step 4:

[0525] The server analyzes the stored data in real time. The input is driving data retrieved from the database. The server processes the data using analytical algorithms to identify driving patterns such as speed changes, accelerator position, braking frequency, and idling time. The output is an assessment of driving habits.

[0526] Specifically, the server's calculation module processes the data and performs pattern analysis.

[0527] Step 5:

[0528] The server evaluates driving habits and generates specific advice. The input is the evaluation result of driving habits obtained in step 4. Based on the evaluation result, the server generates an advice message such as "Reducing sudden acceleration will improve fuel efficiency." The output is the generated advice.

[0529] Specifically, messages are generated within the server using natural language processing (NLP) technology.

[0530] Step 6:

[0531] The server evaluates the results of eco-driving and calculates eco-driving points. The inputs are the evaluation results of driving habits and the amount of CO2 reduction. The server calculates and awards appropriate eco-driving points based on the amount of CO2 reduction. The output is the calculated points.

[0532] Specifically, the server script calculates the eco-driving points.

[0533] Step 7:

[0534] The server records and manages eco-driving points and notifies the user. The input is the calculated eco-driving points. The server saves the point data in a database and sends a notification message to the user. The output is a notification that the notification has been sent.

[0535] Specifically, the server's notification module writes the point information to the database and sends a notification to the user terminal.

[0536] Step 8:

[0537] The user terminal receives advice, eco-driving points, and driving evaluation from the server and visually displays them. The input is advice and point information sent from the server. The user terminal displays this in a dashboard format. The output is a display screen on which the user can visually check the information.

[0538] Specifically, the display module of the user terminal analyzes the received data and displays it to the user using a GUI.

[0539] (Application example 1)

[0540] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0541] Conventional eco-driving support systems lack the real-time capability and ability to provide specific advice when collecting and analyzing driving data, making it difficult for users to quickly improve their behavior. Furthermore, when awarding and managing eco-driving points, they lack a function that allows users to immediately grasp the results. This makes it difficult to maintain motivation for environmental protection activities and product exchanges over the long term. Furthermore, there are limited methods for connecting to vehicles when collecting driving data, which limits the versatility of data collection.

[0542] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0543] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide advice, points, and driving evaluations to the user; a means for the user to exchange eco-driving points for donations to environmental protection activities or eco-friendly products; a means for collecting driving data from the vehicle in real time via Bluetooth; a means for transmitting the driving data to the server and receiving driving habit analysis results and advice in real time; and a means for the user to receive specific advice based on the results of their eco-driving practices. This allows users to improve their driving habits in real time, instantly understand the effects of eco-driving, and maintain their motivation. Furthermore, data collection via Bluetooth allows for flexible vehicle connection methods, enabling use with a variety of vehicles.

[0544] A "user terminal" is a device that collects vehicle driving data, transmits it to a server, and provides advice and point information from the server to the user.

[0545] The "vehicle control unit" is a control device within the vehicle that manages the vehicle's operating status and various operation data, and provides data to the user terminal.

[0546] "Driving data" is a general term for information that indicates the user's driving habits, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0547] The "server" is a central control device that collects and analyzes driving data, generates advice for improving fuel efficiency, and manages eco-driving points.

[0548] "Real-time" refers to a time frame in which data and information are processed and results are provided almost immediately at the moment they are collected.

[0549] "Bluetooth" is a short-range wireless communication technology that allows data to be exchanged wirelessly between a vehicle and a user terminal.

[0550] "Fuel efficiency" is an index that indicates the efficiency of driving to optimize the distance traveled per unit of fuel.

[0551] "Specific advice" is specific, actionable instructions or suggestions for improving a user's driving habits based on driving data.

[0552] "Eco-driving points" are reward points awarded to users based on the results of eco-friendly driving.

[0553] The "Ecology Challenge" is a program that allows users to use the eco-driving points they have earned to donate to environmental conservation activities or exchange them for eco-friendly products.

[0554] The "driving evaluation" is the result of the server analyzing the driving data using statistical methods and evaluating the user's driving habits.

[0555] "Visualization" refers to the process of presenting data or information in a way that is easily understandable to users.

[0556] The present invention is a system that analyzes a user's driving data and provides specific advice to maximize fuel efficiency. The system collects driving data in real time, evaluates driving habits, and awards users eco-driving points, offering an ecological challenge that allows users to donate to environmental protection activities or exchange points for products.

[0557] System configuration

[0558] This system consists of three main components: a user terminal, a vehicle control unit, and a server. Each component functions as follows:

[0559] User device functions

[0560] The user terminal collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The data is also batched at regular intervals and sent to the server. This transmission process uses the HTTP protocol.

[0561] Server Features

[0562] The server receives driving data sent from the user's device and stores it in a database. The received data is analyzed in real time to evaluate the user's driving habits. Statistical methods are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving from data such as speed changes and accelerator opening. Specific advice for improving fuel efficiency is then generated.

[0563] For example, it generates a message such as "By reducing sudden acceleration, fuel economy may be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points based on the amount of CO2 reduced, which are awarded to the user. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0564] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange their points for eco-friendly products.

[0565] Display function of user terminal

[0566] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving resulted in an average speed of 60 km / h, fuel efficiency of 15 km / L, and CO2 reduction of 2 kg" is displayed in dashboard format.

[0567] Specific examples

[0568] 1. Data collection flow

[0569] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server analyzes the received data in real time and evaluates driving habits.

[0570] 2. Generating advice and awarding eco-driving points

[0571] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0572] 3. Ecology Challenge Notification

[0573] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0574] Prompt Sentence Examples

[0575] Examples of prompts for generative AI models include:

[0576] Analyze driving data and provide advice to users on how to improve fuel efficiency. Current data is: {Driving Data}

[0577] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0578] Step 1:

[0579] The user device collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The input is vehicle sensor data, which the device temporarily stores.

[0580] Step 2:

[0581] The data is collected in batch format at regular intervals and sent to the server using the HTTP protocol. The input is the collected driving data batch, and the output is the data to be sent to the server. The terminal formats the data appropriately at the time of transmission.

[0582] Step 3:

[0583] The server stores the received driving data in a database. The input is the data sent from the terminal, and the output is the formatted data stored in the database. The server checks the consistency of the data, and records an error log if there is an inconsistency.

[0584] Step 4:

[0585] The server analyzes driving data in real time. Statistical methods are used for the analysis, and data such as speed changes and throttle position are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving. The input is the driving data read from the database, and the output is the analysis results. The server generates a score to evaluate driving habits based on the analysis results.

[0586] Step 5:

[0587] The server generates specific advice to improve fuel efficiency. The generated advice might be in the form of, for example, "reducing sudden acceleration will improve fuel efficiency by 20%." The input is the analysis results, and the output is driving improvement advice. The server automatically generates specific advice using a generative AI model.

[0588] Step 6:

[0589] The server evaluates the results of eco-driving, calculates eco-driving points based on the amount of CO2 reduced, and awards them to the user. The input is driving data and analysis results, and the output is the calculated points. The server executes the point awarding logic and records the points in a database.

[0590] Step 7:

[0591] The server records and manages eco-driving points and notifies the user. The input is the calculated points, and the output is a notification message to the user's terminal. The server generates a reminder when a certain number of points is reached, for example, 200 points, that can be exchanged for eco-friendly products.

[0592] Step 8:

[0593] The user device receives advice, eco-driving points, and driving evaluation from the server in real time, visualizes them, and provides them to the user. The input is the message sent from the server, and the output is the information displayed to the user. The user device visualizes the information in a dashboard format using a GUI.

[0594] Step 9:

[0595] Users can accumulate eco-driving points, and when they reach a certain number of points, they can donate them to environmental protection activities or exchange them for eco-friendly products. The input is the accumulated eco-driving points, and the output is a message that the donation procedure has been completed or a message confirming the exchange of products. The user terminal provides screens for these procedures, making them easy for users to operate.

[0596] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0597] This invention combines a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency with an emotion engine that recognizes and analyzes the user's emotions. This system also offers an "Ecology Challenge" where users can accumulate points every time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0598] System configuration

[0599] This system consists of four main components: a user terminal, a vehicle control unit, a server, and an emotion engine. The functions and roles of each component are explained below.

[0600] User device functions

[0601] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and sends it to the server. The user terminal also analyzes the user's facial expressions and voice to generate emotion data for use by the emotion engine.

[0602] Server Features

[0603] The server receives and stores driving and emotional data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits and emotional state. The evaluation includes analyzing driving and emotional patterns such as sudden acceleration, idling time, the percentage of constant speed driving, and emotional changes based on basic data such as speed changes and accelerator opening.

[0604] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction and emotional data. For example, if a user reduces CO2 by 2 kg in one day and maintains a positive emotional state, they will be awarded 50 points.

[0605] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0606] Emotion Engine Functions

[0607] The emotion engine recognizes the user's emotional state from facial expressions, voice, and other biometric information, thereby understanding the user's emotional state in real time while driving and sending that information to the server.

[0608] Display function of user terminal

[0609] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this information, fuel efficiency, driving evaluation, CO2 reduction, emotional state, etc. are visualized and provided to the user in an easy-to-understand format. For example, information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[0610] Example

[0611] Specific examples of the present invention will be described below.

[0612] Example 1: Data collection flow

[0613] While the user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received driving and emotional data and evaluates the user's driving and emotional habits.

[0614] Example 2: Generating advice and awarding eco-driving points

[0615] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, the server analyzes the impact of the user's emotional state on driving, and if the user's emotional state is good, it generates additional advice such as "stabilizing emotions will make driving safer." If the user follows the advice and reduces sudden acceleration, and their emotional state is also stable, they are awarded appropriate eco-driving points based on the amount of CO2 reduced in a day and their emotional data.

[0616] Example 3: Ecology Challenge Notification

[0617] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0618] This concludes the description of the preferred embodiment of the present invention. The system allows users to concretely improve their driving habits and emotional state, and to maintain sustainable motivation.

[0619] The processing flow will be explained below.

[0620] Step 1:

[0621] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) in real time from the vehicle's control unit. At the same time, the emotion engine analyzes the user's facial expressions and voice to generate emotion data.

[0622] Step 2:

[0623] The user's device converts the temporarily stored driving data and emotion data into a batch format at regular intervals (for example, every minute) and sends it to the server.

[0624] Step 3:

[0625] The server receives the driving data and emotion data sent from the user terminal, stores the received data in a database, and assigns an index to each user.

[0626] Step 4:

[0627] The server analyzes the received driving data and emotional data in real time, including driving data such as speed changes, accelerator position, and frequency of braking, as well as emotional data derived from facial expressions and voice.

[0628] Step 5:

[0629] The server evaluates the user's driving habits and emotional state based on the driving data and emotional data, such as detecting the frequency of sudden acceleration, idling time, percentage of constant speed driving, and emotional changes such as joy, anger, sadness, and happiness.

[0630] Step 6:

[0631] Based on the evaluation results, the server generates specific advice to provide to the user to improve fuel efficiency. For example, if the frequency of sudden acceleration is high, the server may generate advice such as "Your fuel efficiency could improve by 20% by reducing sudden acceleration," and if stressful driving is inferred from emotional data, the server may add advice such as "Try to drive in a relaxed manner."

[0632] Step 7:

[0633] The server evaluates the user's eco-driving performance and emotional state, and calculates eco-driving points based on the evaluation. For example, points are awarded for reducing sudden acceleration and maintaining a positive emotional state.

[0634] Step 8:

[0635] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[0636] Step 9:

[0637] The user's device receives advice, eco-driving points, and driving and emotional evaluations from the server in real time, and displays them to the user through a dedicated app or in-car display. For example, it displays "Today's driving average speed: 60km / h, fuel economy: 15km / L, CO2 reduction: 2kg, emotional state: good."

[0638] Step 10:

[0639] Users can review the displayed advice and eco-driving points, review their daily driving habits, and drive while being mindful of their emotional state. They can also redeem their accumulated points for donations or eco-friendly products in the "Ecology Challenge" section of the app.

[0640] Through the above processing steps, the system of the present invention can evaluate and improve the user's driving habits and emotional state, thereby improving fuel efficiency and driving quality.

[0641] Example 2

[0642] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0643] Conventional driving evaluation systems have difficulty providing specific advice on improving users' driving patterns and energy consumption efficiency. Furthermore, they do not take into account users' emotional states, which affect their driving habits, making it difficult to motivate users to continue eco-driving. Furthermore, they do not provide a concrete way for users to donate eco-driving points to environmental conservation activities or exchange them for eco-friendly products.

[0644] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing operation information and generating specific advice for improving energy consumption efficiency, means for evaluating the results of eco-driving and calculating eco-driving points, and means for receiving and saving emotion data and evaluating driving and emotional habits. This makes it possible to provide evaluations and advice that take into account the user's driving patterns and emotional state, promote sustainable eco-driving, and make specific use of eco-driving points.

[0645] A "user terminal" is a device that collects operation information of a mobile object used by a user and transmits it to a server.

[0646] A "vehicle" is an operable machine, including a vehicle or other means of transportation.

[0647] A "control device" is a device for controlling the operation of a mobile object, and is a unit that provides operation information.

[0648] "Operation information" is data related to driving a mobile object, and includes speed, accelerator opening, frequency of brake use, engine speed, and the like.

[0649] "Server" refers to a computer system that receives, stores, and analyzes data sent from user terminals and provides advice and evaluations to users.

[0650] "Energy consumption efficiency" is the degree to which the amount of energy consumed to perform a certain task is efficiently minimized.

[0651] "Advice" is a specific suggestion or instruction to improve the user's driving habits.

[0652] "Eco-driving" is a way of driving that minimizes energy consumption and is environmentally friendly.

[0653] "Eco-driving points" are points awarded to a user in response to the execution of eco-driving.

[0654] "Natural environment conservation activities" are activities aimed at maintaining and restoring the global environment.

[0655] "Eco products" are products made using environmentally friendly materials and manufacturing methods.

[0656] "Facial expressions and voice" refers to the user's facial movements and the tone and content of their voice, and is data used to estimate the user's emotional state.

[0657] "Emotion data" refers to information on emotions estimated from a user's facial expressions and voice. This invention relates to a system that analyzes a user's driving habits and emotional state in real time, and provides advice and awards points to promote eco-driving. This system is composed of multiple hardware and software components, including a user terminal, a vehicle control unit (ECU), a server, and an emotion engine.

[0658] User device functions

[0659] The user terminal is installed inside the vehicle and collects operation information in real time from the vehicle's control device. The collected operation information includes speed, accelerator position, brake usage frequency, and engine RPM. The user terminal uses a front camera and microphone to analyze the user's facial expressions and voice, and generates emotion data based on this. The user terminal periodically batches the collected data and sends it to the server.

[0660] Server Features

[0661] The server receives operation information and emotional data sent from the user's device and stores it in a database. The stored data is analyzed in real time to evaluate driving patterns and emotional states. For example, driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving are analyzed. Emotional data provided by the emotion engine is also taken into account to evaluate the user's stress level and emotional stability. Based on this, the server generates specific advice for improving energy consumption efficiency. For example, a message such as "reducing sudden acceleration could improve fuel efficiency by 20%" is generated.

[0662] Eco-driving points awarded

[0663] The server calculates eco-driving points based on the user's driving data and emotional data. For example, if a user reduces 2 kg of CO2 in one day and maintains a positive emotional state, 50 points will be awarded to the user. These points are recorded in the user's account and accumulated. When the points reach a certain threshold (for example, 200 points), the user is notified that they can be exchanged for eco-friendly products. Based on this notification, the user can use the points to donate to environmental conservation activities or exchange them for eco-friendly products.

[0664] Emotion Engine Functions

[0665] The emotion engine recognizes the user's emotional state in real time based on their facial expressions, voice, and biometric information. The evaluation results from the emotion engine are sent to a server and analyzed together with driving data. This data is used to determine how emotions affect the user's driving performance, and advice is provided to promote safe and eco-friendly driving.

[0666] Display function of user terminal

[0667] The user's device displays the advice, eco-driving points, and driving evaluation received from the server in real time. For example, information such as "Today's driving average speed: 60 km / h, fuel economy: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is visualized in a dashboard format. This allows the user to understand their driving habits and emotional state at a glance, motivating them to continue eco-driving.

[0668] Example

[0669] Specific examples of the present invention will be described below.

[0670] Example 1: Data collection flow

[0671] While the user is driving, the user's device collects operational information such as speed, accelerator position, and braking frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received data and evaluates the user's driving habits and emotional state.

[0672] Prompt Sentence Examples

[0673] "How can we collect driving and emotional data from users while driving a car and send it to a server in real time?"

[0674] Example 2: Generating advice and awarding eco-driving points

[0675] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, if the user's emotional state is good based on the emotional data, the server generates additional advice such as "stabilizing emotions will make it easier to drive safely." If the user follows the advice to reduce sudden acceleration and maintains a stable emotional state, appropriate eco-driving points are awarded based on the amount of CO2 reduced in a day and the emotional data.

[0676] Prompt Sentence Examples

[0677] "How can we analyze a user's driving and emotional data and generate specific recommendations to improve fuel economy?"

[0678] Example 3: Ecology Challenge Notification

[0679] When a user accumulates eco-driving points and reaches 200 points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can then access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0680] Prompt Sentence Examples

[0681] "How can I send a notification to users who have accumulated 200 eco-driving points to exchange them for eco-friendly products?"

[0682] This concludes the detailed description of the invention. The system allows users to make concrete improvements to their driving habits and emotional state, and to maintain sustainable motivation.

[0683] The flow of the specific processing in the second embodiment will be described with reference to Fig. 13.

[0684] Step 1: Data collection

[0685] input:

[0686] Operational information when the user drives a vehicle (speed, accelerator position, frequency of brake use, engine RPM), as well as facial expression and voice data.

[0687] Operation:

[0688] The user device collects operational information from the vehicle's control unit (ECU) in real time, and simultaneously captures the user's facial expressions and voice using a front camera and microphone, and generates emotion data using an emotion engine.

[0689] output:

[0690] A batch of operational information and emotion data.

[0691] Step 2: Send data

[0692] input:

[0693] The batch of operation information and emotion data generated in step 1.

[0694] Operation:

[0695] The user terminal generates batches of operation information and emotion data at regular intervals and transmits them to the server.

[0696] output:

[0697] A batch of operation information and emotion data sent to the server.

[0698] Step 3: Receiving and storing data

[0699] input:

[0700] A batch of operation information and emotion data sent from the user device.

[0701] Operation:

[0702] The server stores the operation information and emotion data received from the user device in a database, which is organized in chronological order.

[0703] output:

[0704] Organized and stored operational information and emotional data.

[0705] Step 4: Data analysis

[0706] input:

[0707] Operation information and emotion data stored in a database.

[0708] Operation:

[0709] The server analyzes the stored operation information to detect driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving. It also evaluates emotional data and analyzes changes in the user's emotional state. Based on these analysis results, it generates specific advice for improving energy consumption efficiency.

[0710] output:

[0711] Driving pattern evaluation results and specific advice.

[0712] Step 5: Calculating eco-driving points

[0713] input:

[0714] Data analysis results (driving pattern evaluation results and emotional state).

[0715] Operation:

[0716] The server calculates eco-driving points based on the evaluation of driving patterns and changes in emotional data. Points are awarded based on the amount of CO2 reduction and emotional stability.

[0717] output:

[0718] Calculated eco-driving points.

[0719] Step 6: Record and manage points

[0720] input:

[0721] Calculated eco-driving points.

[0722] Operation:

[0723] The server records the calculated eco-driving points in the user's account and manages their accumulation. When the points reach a certain threshold, it generates a notification to the user.

[0724] output:

[0725] Recorded eco driving points and notifications.

[0726] Step 7: User feedback

[0727] input:

[0728] Driving pattern evaluation results, specific advice, and eco-driving tips.

[0729] Operation:

[0730] The user device visualizes the evaluation results, advice, and eco-driving points received from the server and provides them to the user. Information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[0731] output:

[0732] Feedback information provided to the user (evaluation results, specific advice, eco-driving points).

[0733] The above is the specific flow of processing by the program of this system. At each step, data processing or data calculation is performed based on the input data to generate the respective output.

[0734] (Application example 2)

[0735] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0736] While conventional technologies analyze a user's driving habits and provide advice to improve fuel efficiency, they do not take into account the impact of the user's emotional state on driving, which means that stress and anxiety while driving can have a negative impact on fuel efficiency. Furthermore, evaluation of the results of eco-driving practices is limited to quantitative data, and no comprehensive evaluation that reflects the user's emotional state has been performed. As a result, it has been difficult to maintain the user's sustainable motivation.

[0737] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0738] In this invention, the server includes a means for the user terminal to collect driving data, a means for transmitting the driving data to the server, a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency, a means for the server to analyze emotional data and generate advice taking the emotional state into consideration, and a means for the server to evaluate the results of eco-driving and calculate eco-driving points. This enables more accurate advice for improving fuel efficiency and a comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[0739] A "user terminal" is a device that allows a user to collect driving data and emotional data in a vehicle and transmit them to a server.

[0740] A "vehicle control unit" is a device for monitoring and controlling the driving state of a vehicle and acquiring driving data.

[0741] "Driving data" refers to various information related to driving, such as vehicle speed, accelerator position, frequency of brake use, and engine speed.

[0742] A "server" is a device that receives, stores, and analyzes data sent from a user terminal, and provides specific advice and evaluations to the user.

[0743] "Emotion data" is information about the emotional state extracted from the user's facial expression, voice, etc.

[0744] "Fuel efficiency improvement advice" refers to specific instructions and suggestions for reducing fuel consumption based on an analysis of the user's driving habits.

[0745] "Eco-driving" refers to optimizing fuel efficiency and practicing environmentally friendly driving practices.

[0746] "Eco-driving points" are points awarded based on the results of a user's eco-driving, and these points provide the user with an incentive to contribute to environmental conservation activities, etc.

[0747] "Emotional state" refers to the user's emotional or psychological state while driving, such as being relaxed or tense.

[0748] "Statistical methods" are mathematical and computational methods for analyzing driving and emotional data and extracting useful information.

[0749] This invention relates to a system that collects and analyzes vehicle driving data and user emotional data, and provides specific advice to maximize fuel efficiency. This system also provides an "Ecology Challenge" where users can accumulate points every time they practice eco-driving, and can exchange these points for donations to environmental protection activities or eco-friendly products.

[0750] The main components of the system include a user terminal, a vehicle control unit, a server, and an emotion engine.

[0751] User device functions

[0752] The user device collects driving data from the vehicle's control unit and transmits it to the server. The driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The user device also uses the smartphone's camera and microphone to analyze the user's facial expressions and voice to generate emotion data.

[0753] Server Features

[0754] The server receives and stores driving and emotional data sent from the user's device. It then analyzes this data in real time to evaluate the user's driving habits and emotional state. The evaluation includes not only an analysis of driving habits based on basic data such as speed changes and accelerator pedal position, but also the user's emotional changes. The server performs an integrated analysis of the driving and emotional data. This allows it to generate advice to improve fuel efficiency and stabilize the user's emotional state. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%."

[0755] The server also calculates eco-driving points based on the results of eco-driving. These points are awarded based on driving data and emotional data. For example, if a user reduces CO2 emissions by 2 kg in one day and has a good emotional state, 50 points will be awarded to the user. The server records and manages eco-driving points and generates notifications when the user reaches a certain number of points. For example, if the user reaches 200 points, the server will send a reminder that the points can be exchanged for eco-friendly products.

[0756] Emotion Engine Functions

[0757] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state in real time. This is done using the smartphone's camera and microphone. The emotion data generated by the emotion engine is sent to a server and analyzed in conjunction with driving data.

[0758] Specific examples

[0759] While a user is riding in an autonomous vehicle, the user device (smartphone camera and microphone) analyzes the user's facial expressions and voice to monitor their emotional state in real time. At the same time, driving data (speed, accelerator position, etc.) is collected from the vehicle's control unit. This data is periodically sent to a server, which then performs an integrated analysis. For example, if the user is in a relaxed state, advice such as "Your emotions are stable, which will make it easier for you to drive safely" is provided. Furthermore, if the user reduces sudden acceleration, specific advice such as "Reducing sudden acceleration will improve fuel efficiency" is also provided.

[0760] Example prompt sentence:

[0761] "Please provide eco-driving advice that should be given to the user while they are in an autonomous vehicle with a relaxed expression."

[0762] This system will enable more accurate fuel efficiency improvement advice and comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[0763] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0764] Step 1:

[0765] The user terminal collects driving data from the vehicle's control unit. The input is driving data from the control unit (speed, accelerator position, frequency of brake use, engine RPM, etc.), and the output is this driving data. The user terminal temporarily stores the data received from the control unit.

[0766] Step 2:

[0767] The user device uses the smartphone's camera and microphone to detect the user's facial expressions and voice and generate emotion data. The input is camera footage and audio data, and the output is emotion data analyzed by the emotion engine. In this process, facial recognition software and audio analysis models are used to detect the user's emotional state in real time.

[0768] Step 3:

[0769] The user device periodically sends the collected driving data and emotion data to the server in batches. The input is the driving data and emotion data stored on the user device, and the output is the data batch sent to the server. The user device executes this process periodically to ensure a stable data flow.

[0770] Step 4:

[0771] The server stores the received driving and emotion data and begins analysis. The input is the data batch sent from the user device, and the output is the raw data stored in the database. The server stores the received data for later analysis.

[0772] Step 5:

[0773] The server analyzes the driving data and evaluates driving habits. The input is the driving data saved in step 4, and the output is the evaluation results such as sudden acceleration, idling time, and the percentage of driving at a constant speed. The server analyzes this data using statistical methods.

[0774] Step 6:

[0775] The server analyzes the emotion data and evaluates the user's emotional state. The input is the emotion data saved in step 4, and the output is the evaluation result of the user's emotional state (e.g., relaxed, nervous, etc.). The server analyzes the emotion data using an emotion engine.

[0776] Step 7:

[0777] The server integrates driving data and emotional data to perform a comprehensive evaluation. The input is the evaluation results from Steps 5 and 6, and the output is specific advice for improving fuel efficiency. The server combines these data to generate more accurate advice.

[0778] Step 8:

[0779] The server generates advice for improving fuel efficiency and sends it to the user's device. The input is the evaluation result of step 7, and the output is advice displayed on the user's device. The server does this in real time and provides it to the user.

[0780] Step 9:

[0781] The user terminal displays the advice received from the server to the user. The input is the advice sent from the server, and the output is the advice displayed on the user terminal. The user terminal displays this visually so that the user can easily understand it.

[0782] Step 10:

[0783] The server evaluates the results of eco-driving and calculates eco-driving points. The input is the results of eco-driving based on driving data and emotion data, and the output is eco-driving points. The server records this and manages the accumulated points.

[0784] Step 11:

[0785] Users exchange their eco-driving points for donations to environmental conservation activities or eco-friendly products. The input is the accumulated eco-driving points, and the output is the donation or exchanged product. The exchange page can be accessed from the user's device, and the server sends a notification.

[0786] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0787] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0788] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0789] [Third embodiment]

[0790] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0791] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0792] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0793] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0794] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0795] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0796] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0797] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0798] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0799] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0800] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0801] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0802] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0803] System configuration

[0804] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0805] User device functions

[0806] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and transmits it to the server.

[0807] Server Features

[0808] The server receives and stores driving data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits. The evaluation includes analyzing driving patterns such as sudden acceleration, idling time, and the proportion of constant speed driving based on data such as speed changes and accelerator pedal position.

[0809] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0810] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0811] Display function of user terminal

[0812] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0813] Example

[0814] Specific examples of the present invention will be described below.

[0815] Example 1: Data collection flow

[0816] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server then automatically analyzes the received data and evaluates the user's driving habits.

[0817] Example 2: Generating advice and awarding eco-driving points

[0818] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0819] Example 3: Ecology Challenge Notification

[0820] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0821] This concludes the description of the "Mode for Carrying Out the Invention." The system allows users to concretely improve their driving habits and maintain sustainable motivation.

[0822] The processing flow will be explained below.

[0823] Step 1:

[0824] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) from the vehicle's control unit. The data is collected in real time and temporarily stored in local storage.

[0825] Step 2:

[0826] The user's terminal converts the temporarily stored driving data into a batch format at regular intervals (for example, every minute) and transmits it to a server via the Internet.

[0827] Step 3:

[0828] The server receives driving data sent from user terminals, stores the received data in a database, and assigns an index to each user.

[0829] Step 4:

[0830] The server analyzes the received driving data in real time, using analytical algorithms to evaluate speed changes, accelerator position, and braking frequency to calculate the percentage of sudden acceleration, idling, and constant speed driving.

[0831] Step 5:

[0832] The server generates specific advice for improving fuel efficiency based on the analysis results, such as "reducing sudden acceleration could improve fuel efficiency by 20%."

[0833] Step 6:

[0834] The server evaluates whether the user followed the advice and calculates eco-driving points based on that, using an algorithm that awards one point for each reduction in sudden acceleration, for example.

[0835] Step 7:

[0836] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[0837] Step 8:

[0838] The user's device receives advice, eco-driving points, and driving evaluation from the server and displays them to the user via a dedicated app or in-car display. The display format is visualized in an easy-to-understand manner using graphs and dashboards.

[0839] Step 9:

[0840] Users can review their daily driving habits based on the displayed advice and eco-driving points, and can also use the points they have accumulated to make donations or exchange for products in the app's "Ecology Challenge" section.

[0841] Through the above processing steps, the system of the present invention allows a user to improve their driving habits and maximize fuel efficiency.

[0842] Example 1

[0843] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0844] In recent years, there has been a growing emphasis on reducing environmental impact through eco-driving. However, there are insufficient means for users to understand their own driving habits and identify specific areas for improvement, making it difficult to maintain their motivation. In addition, there is a lack of systems that effectively utilize eco-driving points, which means users lack the motivation to actively engage in eco-driving.

[0845] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0846] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide the advice, points, and driving evaluation to the user; and a means for the user to exchange the eco-driving points for donations to environmental protection activities or sustainable products. This allows users to specifically understand their driving habits and recognize areas for improvement, thereby maintaining sustained motivation for eco-driving. The point system also promotes eco-driving efforts.

[0847] A "user terminal" is a device that uses a device or smartphone installed in a vehicle to collect driving data and transmit it to a server.

[0848] A "vehicle control unit" is a system that aggregates data from various sensors and devices within the vehicle and provides that data to external devices.

[0849] "Driving data" includes detailed information about the user's driving, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0850] The "server" is a computer system that receives and stores driving data sent from user devices, analyzes the data, and evaluates driving habits.

[0851] "Batching data" refers to a process for collecting collected operating data at regular intervals and efficiently transmitting the collected data to a server.

[0852] "Fuel efficiency" refers to the distance a vehicle can travel on a certain amount of fuel, and efficiency varies depending on driving method and conditions.

[0853] "Driving habit evaluation" is the process of quantifying and classifying a user's driving behavior based on collected driving data, and obtaining analytical results.

[0854] "Specific advice" refers to instructions or recommendations for improving driving that are provided to the user based on the analysis results.

[0855] "Eco-driving" is an environmentally friendly driving method that aims to improve fuel efficiency and reduce CO2 emissions.

[0856] "Eco-driving points" are points awarded to a user based on the results of eco-driving.

[0857] "Recording and management" is the process by which the server stores information such as driving data and eco-driving points and makes them accessible as needed.

[0858] "Notifying" refers to the act of the server sending specific information or a message to the user terminal to notify the user.

[0859] "Visualizing" refers to displaying information in a user-friendly format so that it can be visually confirmed.

[0860] "Environmental activities" refer to actions and projects aimed at preserving or improving the natural environment.

[0861] "Sustainable products" refer to products that have a low environmental impact and can be used for a long period of time.

[0862] MODE FOR CARRYING OUT THE INVENTION

[0863] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental conservation activities or sustainable products.

[0864] System configuration

[0865] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[0866] User device functions

[0867] While a user is driving a vehicle, the user terminal collects driving data from the vehicle's control unit. The driving data includes detailed information such as speed, accelerator position, brake usage frequency, engine RPM, etc. The user terminal periodically creates batches of this data and transmits them to a server using a secure communication protocol (e.g., HTTPS).

[0868] Examples of hardware / software used:

[0869] Hardware: Vehicle OBD-II connector, smartphone

[0870] Software: Vehicle control units, data communication applications

[0871] Server Features

[0872] The server receives driving data sent from the user's device and stores it in a database (e.g., MySQL or PostgreSQL). It then analyzes this data in real time to evaluate the user's driving habits. The server uses analytical algorithms to analyze speed changes, accelerator position, braking frequency, idling time, etc. to identify the user's driving patterns. This processing is performed using data analysis tools (e.g., Apache Kafka, Spark).

[0873] Examples:

[0874] "For users who frequently accelerate suddenly, we will advise them to refrain from sudden acceleration to improve fuel efficiency."

[0875] The server generates specific advice based on the analysis results. For example, it generates a message such as, "Your fuel economy could improve by 20% by reducing sudden acceleration." This advice generation could use natural language processing (NLP) technology. Eco-driving points are also calculated based on the results of eco-driving, and points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points are awarded to the user.

[0876] Examples of hardware / software used:

[0877] Hardware: Servers, database servers

[0878] Software: Database management systems (e.g., MySQL), real-time analytics systems (e.g., Apache Kafka)

[0879] Display function of user terminal

[0880] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[0881] Examples of hardware / software used:

[0882] Hardware: Smartphones, tablets

[0883] Software: Mobile application

[0884] Example

[0885] Specific examples of the present invention will be described below.

[0886] Example 1: Data collection flow

[0887] While a user is driving a vehicle, the user's device collects data such as speed, accelerator position, and brake usage frequency every minute and sends it to the server in batches. The server automatically analyzes the received data and evaluates driving habits.

[0888] Example 2: Generating advice and awarding eco-driving points

[0889] The server provides specific advice to users who frequently accelerate suddenly, such as "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0890] Example 3: Ecology Challenge Notification

[0891] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for sustainable products." The user can then access the sustainable product exchange page from their device and use their points to acquire the products.

[0892] Prompt Sentence Examples

[0893] Here are some examples of prompts to input to a generative AI model:

[0894] "Your program will collect data while the user is driving a vehicle, use that data to analyze their driving habits, and provide advice on maximizing fuel efficiency. You will also need to implement a feature that awards points for eco-driving and sends a notification when a certain number of points are reached."

[0895] The above is a detailed description of the specific configuration and functions of the embodiment of the present invention, which allows users to specifically improve their driving habits and have sustainable motivation.

[0896] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0897] Step 1:

[0898] When a user drives a vehicle, the user device collects driving data in real time from the vehicle's control unit. The inputs include driving data such as speed, accelerator position, brake usage frequency, engine RPM, etc. This data is obtained from sensors and stored on the user device. The output is a batch of collected driving data.

[0899] Specifically, the software on the user terminal acquires data via the vehicle's OBD-II connector, etc., and compiles the data into batches at regular intervals.

[0900] Step 2:

[0901] The user terminal sends the collected driving data to the server in batch format at regular intervals (e.g., every minute). The input is the batch of driving data generated in step 1. The data is sent using a secure communication protocol such as HTTPS. The output is a notification that the data has been sent to the server.

[0902] Specifically, the communication module on the user terminal transmits data to the server via the Internet.

[0903] Step 3:

[0904] The server receives driving data sent from the user terminal and stores it in a database. The input is a batch of driving data. The server stores the data in a database management system (e.g., MySQL) along with a timestamp. The output is a confirmation that the data was successfully saved.

[0905] Specifically, the receiving module on the server side receives the data and writes the batch data to the database.

[0906] Step 4:

[0907] The server analyzes the stored data in real time. The input is driving data retrieved from the database. The server processes the data using analytical algorithms to identify driving patterns such as speed changes, accelerator position, braking frequency, and idling time. The output is an assessment of driving habits.

[0908] Specifically, the server's calculation module processes the data and performs pattern analysis.

[0909] Step 5:

[0910] The server evaluates driving habits and generates specific advice. The input is the evaluation result of driving habits obtained in step 4. Based on the evaluation result, the server generates an advice message such as "Reducing sudden acceleration will improve fuel efficiency." The output is the generated advice.

[0911] Specifically, messages are generated within the server using natural language processing (NLP) technology.

[0912] Step 6:

[0913] The server evaluates the results of eco-driving and calculates eco-driving points. The inputs are the evaluation results of driving habits and the amount of CO2 reduction. The server calculates and awards appropriate eco-driving points based on the amount of CO2 reduction. The output is the calculated points.

[0914] Specifically, the server script calculates the eco-driving points.

[0915] Step 7:

[0916] The server records and manages eco-driving points and notifies the user. The input is the calculated eco-driving points. The server saves the point data in a database and sends a notification message to the user. The output is a notification that the notification has been sent.

[0917] Specifically, the server's notification module writes the point information to the database and sends a notification to the user terminal.

[0918] Step 8:

[0919] The user terminal receives advice, eco-driving points, and driving evaluation from the server and visually displays them. The input is advice and point information sent from the server. The user terminal displays this in a dashboard format. The output is a display screen on which the user can visually check the information.

[0920] Specifically, the display module of the user terminal analyzes the received data and displays it to the user using a GUI.

[0921] (Application example 1)

[0922] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0923] Conventional eco-driving support systems lack the real-time capability and ability to provide specific advice when collecting and analyzing driving data, making it difficult for users to quickly improve their behavior. Furthermore, when awarding and managing eco-driving points, they lack a function that allows users to immediately grasp the results. This makes it difficult to maintain motivation for environmental protection activities and product exchanges over the long term. Furthermore, there are limited methods for connecting to vehicles when collecting driving data, which limits the versatility of data collection.

[0924] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0925] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide advice, points, and driving evaluations to the user; a means for the user to exchange eco-driving points for donations to environmental protection activities or eco-friendly products; a means for collecting driving data from the vehicle in real time via Bluetooth; a means for transmitting the driving data to the server and receiving driving habit analysis results and advice in real time; and a means for the user to receive specific advice based on the results of their eco-driving practices. This allows users to improve their driving habits in real time, instantly understand the effects of eco-driving, and maintain their motivation. Furthermore, data collection via Bluetooth allows for flexible vehicle connection methods, enabling use with a variety of vehicles.

[0926] A "user terminal" is a device that collects vehicle driving data, transmits it to a server, and provides advice and point information from the server to the user.

[0927] The "vehicle control unit" is a control device within the vehicle that manages the vehicle's operating status and various operation data, and provides data to the user terminal.

[0928] "Driving data" is a general term for information that indicates the user's driving habits, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[0929] The "server" is a central control device that collects and analyzes driving data, generates advice for improving fuel efficiency, and manages eco-driving points.

[0930] "Real-time" refers to a time frame in which data and information are processed and results are provided almost immediately at the moment they are collected.

[0931] "Bluetooth" is a short-range wireless communication technology that allows data to be exchanged wirelessly between a vehicle and a user terminal.

[0932] "Fuel efficiency" is an index that indicates the efficiency of driving to optimize the distance traveled per unit of fuel.

[0933] "Specific advice" is specific, actionable instructions or suggestions for improving a user's driving habits based on driving data.

[0934] "Eco-driving points" are reward points awarded to users based on the results of eco-friendly driving.

[0935] The "Ecology Challenge" is a program that allows users to use the eco-driving points they have earned to donate to environmental conservation activities or exchange them for eco-friendly products.

[0936] The "driving evaluation" is the result of the server analyzing the driving data using statistical methods and evaluating the user's driving habits.

[0937] "Visualization" refers to the process of presenting data or information in a way that is easily understandable to users.

[0938] The present invention is a system that analyzes a user's driving data and provides specific advice to maximize fuel efficiency. The system collects driving data in real time, evaluates driving habits, and awards users eco-driving points, offering an ecological challenge that allows users to donate to environmental protection activities or exchange points for products.

[0939] System configuration

[0940] This system consists of three main components: a user terminal, a vehicle control unit, and a server. Each component functions as follows:

[0941] User device functions

[0942] The user terminal collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The data is also batched at regular intervals and sent to the server. This transmission process uses the HTTP protocol.

[0943] Server Features

[0944] The server receives driving data sent from the user's device and stores it in a database. The received data is analyzed in real time to evaluate the user's driving habits. Statistical methods are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving from data such as speed changes and accelerator opening. Specific advice for improving fuel efficiency is then generated.

[0945] For example, it generates a message such as "By reducing sudden acceleration, fuel economy may be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points based on the amount of CO2 reduced, which are awarded to the user. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[0946] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange their points for eco-friendly products.

[0947] Display function of user terminal

[0948] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving resulted in an average speed of 60 km / h, fuel efficiency of 15 km / L, and CO2 reduction of 2 kg" is displayed in dashboard format.

[0949] Specific examples

[0950] 1. Data collection flow

[0951] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server analyzes the received data in real time and evaluates driving habits.

[0952] 2. Generating advice and awarding eco-driving points

[0953] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[0954] 3. Ecology Challenge Notification

[0955] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[0956] Prompt Sentence Examples

[0957] Examples of prompts for generative AI models include:

[0958] Analyze driving data and provide advice to users on how to improve fuel efficiency. Current data is: {Driving Data}

[0959] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0960] Step 1:

[0961] The user device collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The input is vehicle sensor data, which the device temporarily stores.

[0962] Step 2:

[0963] The data is collected in batch format at regular intervals and sent to the server using the HTTP protocol. The input is the collected driving data batch, and the output is the data to be sent to the server. The terminal formats the data appropriately at the time of transmission.

[0964] Step 3:

[0965] The server stores the received driving data in a database. The input is the data sent from the terminal, and the output is the formatted data stored in the database. The server checks the consistency of the data, and records an error log if there is an inconsistency.

[0966] Step 4:

[0967] The server analyzes driving data in real time. Statistical methods are used for the analysis, and data such as speed changes and throttle position are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving. The input is the driving data read from the database, and the output is the analysis results. The server generates a score to evaluate driving habits based on the analysis results.

[0968] Step 5:

[0969] The server generates specific advice to improve fuel efficiency. The generated advice might be in the form of, for example, "reducing sudden acceleration will improve fuel efficiency by 20%." The input is the analysis results, and the output is driving improvement advice. The server automatically generates specific advice using a generative AI model.

[0970] Step 6:

[0971] The server evaluates the results of eco-driving, calculates eco-driving points based on the amount of CO2 reduced, and awards them to the user. The input is driving data and analysis results, and the output is the calculated points. The server executes the point awarding logic and records the points in a database.

[0972] Step 7:

[0973] The server records and manages eco-driving points and notifies the user. The input is the calculated points, and the output is a notification message to the user's terminal. The server generates a reminder when a certain number of points is reached, for example, 200 points, that can be exchanged for eco-friendly products.

[0974] Step 8:

[0975] The user device receives advice, eco-driving points, and driving evaluation from the server in real time, visualizes them, and provides them to the user. The input is the message sent from the server, and the output is the information displayed to the user. The user device visualizes the information in a dashboard format using a GUI.

[0976] Step 9:

[0977] Users can accumulate eco-driving points, and when they reach a certain number of points, they can donate them to environmental protection activities or exchange them for eco-friendly products. The input is the accumulated eco-driving points, and the output is a message that the donation procedure has been completed or a message confirming the exchange of products. The user terminal provides screens for these procedures, making them easy for users to operate.

[0978] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0979] This invention combines a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency with an emotion engine that recognizes and analyzes the user's emotions. This system also offers an "Ecology Challenge" where users can accumulate points every time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[0980] System configuration

[0981] This system consists of four main components: a user terminal, a vehicle control unit, a server, and an emotion engine. The functions and roles of each component are explained below.

[0982] User device functions

[0983] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and sends it to the server. The user terminal also analyzes the user's facial expressions and voice to generate emotion data for use by the emotion engine.

[0984] Server Features

[0985] The server receives and stores driving and emotional data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits and emotional state. The evaluation includes analyzing driving and emotional patterns such as sudden acceleration, idling time, the percentage of constant speed driving, and emotional changes based on basic data such as speed changes and accelerator opening.

[0986] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction and emotional data. For example, if a user reduces CO2 by 2 kg in one day and maintains a positive emotional state, they will be awarded 50 points.

[0987] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[0988] Emotion Engine Functions

[0989] The emotion engine recognizes the user's emotional state from facial expressions, voice, and other biometric information, thereby understanding the user's emotional state in real time while driving and sending that information to the server.

[0990] Display function of user terminal

[0991] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this information, fuel efficiency, driving evaluation, CO2 reduction, emotional state, etc. are visualized and provided to the user in an easy-to-understand format. For example, information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[0992] Example

[0993] Specific examples of the present invention will be described below.

[0994] Example 1: Data collection flow

[0995] While the user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received driving and emotional data and evaluates the user's driving and emotional habits.

[0996] Example 2: Generating advice and awarding eco-driving points

[0997] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, the server analyzes the impact of the user's emotional state on driving, and if the user's emotional state is good, it generates additional advice such as "stabilizing emotions will make driving safer." If the user follows the advice and reduces sudden acceleration, and their emotional state is also stable, they are awarded appropriate eco-driving points based on the amount of CO2 reduced in a day and their emotional data.

[0998] Example 3: Ecology Challenge Notification

[0999] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1000] This concludes the description of the preferred embodiment of the present invention. The system allows users to concretely improve their driving habits and emotional state, and to maintain sustainable motivation.

[1001] The processing flow will be explained below.

[1002] Step 1:

[1003] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) in real time from the vehicle's control unit. At the same time, the emotion engine analyzes the user's facial expressions and voice to generate emotion data.

[1004] Step 2:

[1005] The user's device converts the temporarily stored driving data and emotion data into a batch format at regular intervals (for example, every minute) and sends it to the server.

[1006] Step 3:

[1007] The server receives the driving data and emotion data sent from the user terminal, stores the received data in a database, and assigns an index to each user.

[1008] Step 4:

[1009] The server analyzes the received driving data and emotional data in real time, including driving data such as speed changes, accelerator position, and frequency of braking, as well as emotional data derived from facial expressions and voice.

[1010] Step 5:

[1011] The server evaluates the user's driving habits and emotional state based on the driving data and emotional data, such as detecting the frequency of sudden acceleration, idling time, percentage of constant speed driving, and emotional changes such as joy, anger, sadness, and happiness.

[1012] Step 6:

[1013] Based on the evaluation results, the server generates specific advice to provide to the user to improve fuel efficiency. For example, if the frequency of sudden acceleration is high, the server may generate advice such as "Your fuel efficiency could improve by 20% by reducing sudden acceleration," and if stressful driving is inferred from emotional data, the server may add advice such as "Try to drive in a relaxed manner."

[1014] Step 7:

[1015] The server evaluates the user's eco-driving performance and emotional state, and calculates eco-driving points based on the evaluation. For example, points are awarded for reducing sudden acceleration and maintaining a positive emotional state.

[1016] Step 8:

[1017] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[1018] Step 9:

[1019] The user's device receives advice, eco-driving points, and driving and emotional evaluations from the server in real time, and displays them to the user through a dedicated app or in-car display. For example, it displays "Today's driving average speed: 60km / h, fuel economy: 15km / L, CO2 reduction: 2kg, emotional state: good."

[1020] Step 10:

[1021] Users can review the displayed advice and eco-driving points, review their daily driving habits, and drive while being mindful of their emotional state. They can also redeem their accumulated points for donations or eco-friendly products in the "Ecology Challenge" section of the app.

[1022] Through the above processing steps, the system of the present invention can evaluate and improve the user's driving habits and emotional state, thereby improving fuel efficiency and driving quality.

[1023] Example 2

[1024] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1025] Conventional driving evaluation systems have difficulty providing specific advice on improving users' driving patterns and energy consumption efficiency. Furthermore, they do not take into account users' emotional states, which affect their driving habits, making it difficult to motivate users to continue eco-driving. Furthermore, they do not provide a concrete way for users to donate eco-driving points to environmental conservation activities or exchange them for eco-friendly products.

[1026] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing operation information and generating specific advice for improving energy consumption efficiency, means for evaluating the results of eco-driving and calculating eco-driving points, and means for receiving and saving emotion data and evaluating driving and emotional habits. This makes it possible to provide evaluations and advice that take into account the user's driving patterns and emotional state, promote sustainable eco-driving, and make specific use of eco-driving points.

[1027] A "user terminal" is a device that collects operation information of a mobile object used by a user and transmits it to a server.

[1028] A "vehicle" is an operable machine, including a vehicle or other means of transportation.

[1029] A "control device" is a device for controlling the operation of a mobile object, and is a unit that provides operation information.

[1030] "Operation information" is data related to driving a mobile object, and includes speed, accelerator opening, frequency of brake use, engine speed, and the like.

[1031] "Server" refers to a computer system that receives, stores, and analyzes data sent from user terminals and provides advice and evaluations to users.

[1032] "Energy consumption efficiency" is the degree to which the amount of energy consumed to perform a certain task is efficiently minimized.

[1033] "Advice" is a specific suggestion or instruction to improve the user's driving habits.

[1034] "Eco-driving" is a way of driving that minimizes energy consumption and is environmentally friendly.

[1035] "Eco-driving points" are points awarded to a user in response to the execution of eco-driving.

[1036] "Natural environment conservation activities" are activities aimed at maintaining and restoring the global environment.

[1037] "Eco products" are products made using environmentally friendly materials and manufacturing methods.

[1038] "Facial expressions and voice" refers to the user's facial movements and the tone and content of their voice, and is data used to estimate the user's emotional state.

[1039] "Emotion data" refers to information on emotions estimated from a user's facial expressions and voice. This invention relates to a system that analyzes a user's driving habits and emotional state in real time, and provides advice and awards points to promote eco-driving. This system is composed of multiple hardware and software components, including a user terminal, a vehicle control unit (ECU), a server, and an emotion engine.

[1040] User device functions

[1041] The user terminal is installed inside the vehicle and collects operation information in real time from the vehicle's control device. The collected operation information includes speed, accelerator position, brake usage frequency, and engine RPM. The user terminal uses a front camera and microphone to analyze the user's facial expressions and voice, and generates emotion data based on this. The user terminal periodically batches the collected data and sends it to the server.

[1042] Server Features

[1043] The server receives operation information and emotional data sent from the user's device and stores it in a database. The stored data is analyzed in real time to evaluate driving patterns and emotional states. For example, driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving are analyzed. Emotional data provided by the emotion engine is also taken into account to evaluate the user's stress level and emotional stability. Based on this, the server generates specific advice for improving energy consumption efficiency. For example, a message such as "reducing sudden acceleration could improve fuel efficiency by 20%" is generated.

[1044] Eco-driving points awarded

[1045] The server calculates eco-driving points based on the user's driving data and emotional data. For example, if a user reduces 2 kg of CO2 in one day and maintains a positive emotional state, 50 points will be awarded to the user. These points are recorded in the user's account and accumulated. When the points reach a certain threshold (for example, 200 points), the user is notified that they can be exchanged for eco-friendly products. Based on this notification, the user can use the points to donate to environmental conservation activities or exchange them for eco-friendly products.

[1046] Emotion Engine Functions

[1047] The emotion engine recognizes the user's emotional state in real time based on their facial expressions, voice, and biometric information. The evaluation results from the emotion engine are sent to a server and analyzed together with driving data. This data is used to determine how emotions affect the user's driving performance, and advice is provided to promote safe and eco-friendly driving.

[1048] Display function of user terminal

[1049] The user's device displays the advice, eco-driving points, and driving evaluation received from the server in real time. For example, information such as "Today's driving average speed: 60 km / h, fuel economy: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is visualized in a dashboard format. This allows the user to understand their driving habits and emotional state at a glance, motivating them to continue eco-driving.

[1050] Example

[1051] Specific examples of the present invention will be described below.

[1052] Example 1: Data collection flow

[1053] While the user is driving, the user's device collects operational information such as speed, accelerator position, and braking frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received data and evaluates the user's driving habits and emotional state.

[1054] Prompt Sentence Examples

[1055] "How can we collect driving and emotional data from users while driving a car and send it to a server in real time?"

[1056] Example 2: Generating advice and awarding eco-driving points

[1057] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, if the user's emotional state is good based on the emotional data, the server generates additional advice such as "stabilizing emotions will make it easier to drive safely." If the user follows the advice to reduce sudden acceleration and maintains a stable emotional state, appropriate eco-driving points are awarded based on the amount of CO2 reduced in a day and the emotional data.

[1058] Prompt Sentence Examples

[1059] "How can we analyze a user's driving and emotional data and generate specific recommendations to improve fuel economy?"

[1060] Example 3: Ecology Challenge Notification

[1061] When a user accumulates eco-driving points and reaches 200 points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can then access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1062] Prompt Sentence Examples

[1063] "How can I send a notification to users who have accumulated 200 eco-driving points to exchange them for eco-friendly products?"

[1064] This concludes the detailed description of the invention. The system allows users to make concrete improvements to their driving habits and emotional state, and to maintain sustainable motivation.

[1065] The flow of the specific processing in the second embodiment will be described with reference to Fig. 13.

[1066] Step 1: Data collection

[1067] input:

[1068] Operational information when the user drives a vehicle (speed, accelerator position, frequency of brake use, engine RPM), as well as facial expression and voice data.

[1069] Operation:

[1070] The user device collects operational information from the vehicle's control unit (ECU) in real time, and simultaneously captures the user's facial expressions and voice using a front camera and microphone, and generates emotion data using an emotion engine.

[1071] output:

[1072] A batch of operational information and emotion data.

[1073] Step 2: Send data

[1074] input:

[1075] The batch of operation information and emotion data generated in step 1.

[1076] Operation:

[1077] The user terminal generates batches of operation information and emotion data at regular intervals and transmits them to the server.

[1078] output:

[1079] A batch of operation information and emotion data sent to the server.

[1080] Step 3: Receiving and storing data

[1081] input:

[1082] A batch of operation information and emotion data sent from the user device.

[1083] Operation:

[1084] The server stores the operation information and emotion data received from the user device in a database, which is organized in chronological order.

[1085] output:

[1086] Organized and stored operational information and emotional data.

[1087] Step 4: Data analysis

[1088] input:

[1089] Operation information and emotion data stored in a database.

[1090] Operation:

[1091] The server analyzes the stored operation information to detect driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving. It also evaluates emotional data and analyzes changes in the user's emotional state. Based on these analysis results, it generates specific advice for improving energy consumption efficiency.

[1092] output:

[1093] Driving pattern evaluation results and specific advice.

[1094] Step 5: Calculating eco-driving points

[1095] input:

[1096] Data analysis results (driving pattern evaluation results and emotional state).

[1097] Operation:

[1098] The server calculates eco-driving points based on the evaluation of driving patterns and changes in emotional data. Points are awarded based on the amount of CO2 reduction and emotional stability.

[1099] output:

[1100] Calculated eco-driving points.

[1101] Step 6: Record and manage points

[1102] input:

[1103] Calculated eco-driving points.

[1104] Operation:

[1105] The server records the calculated eco-driving points in the user's account and manages their accumulation. When the points reach a certain threshold, it generates a notification to the user.

[1106] output:

[1107] Recorded eco driving points and notifications.

[1108] Step 7: User feedback

[1109] input:

[1110] Driving pattern evaluation results, specific advice, and eco-driving tips.

[1111] Operation:

[1112] The user device visualizes the evaluation results, advice, and eco-driving points received from the server and provides them to the user. Information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[1113] output:

[1114] Feedback information provided to the user (evaluation results, specific advice, eco-driving points).

[1115] The above is the specific flow of processing by the program of this system. At each step, data processing or data calculation is performed based on the input data to generate the respective output.

[1116] (Application example 2)

[1117] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1118] While conventional technologies analyze a user's driving habits and provide advice to improve fuel efficiency, they do not take into account the impact of the user's emotional state on driving, which means that stress and anxiety while driving can have a negative impact on fuel efficiency. Furthermore, evaluation of the results of eco-driving practices is limited to quantitative data, and no comprehensive evaluation that reflects the user's emotional state has been performed. As a result, it has been difficult to maintain the user's sustainable motivation.

[1119] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1120] In this invention, the server includes a means for the user terminal to collect driving data, a means for transmitting the driving data to the server, a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency, a means for the server to analyze emotional data and generate advice taking the emotional state into consideration, and a means for the server to evaluate the results of eco-driving and calculate eco-driving points. This enables more accurate advice for improving fuel efficiency and a comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[1121] A "user terminal" is a device that allows a user to collect driving data and emotional data in a vehicle and transmit them to a server.

[1122] A "vehicle control unit" is a device for monitoring and controlling the driving state of a vehicle and acquiring driving data.

[1123] "Driving data" refers to various information related to driving, such as vehicle speed, accelerator position, frequency of brake use, and engine speed.

[1124] A "server" is a device that receives, stores, and analyzes data sent from a user terminal, and provides specific advice and evaluations to the user.

[1125] "Emotion data" is information about the emotional state extracted from the user's facial expression, voice, etc.

[1126] "Fuel efficiency improvement advice" refers to specific instructions and suggestions for reducing fuel consumption based on an analysis of the user's driving habits.

[1127] "Eco-driving" refers to optimizing fuel efficiency and practicing environmentally friendly driving practices.

[1128] "Eco-driving points" are points awarded based on the results of a user's eco-driving, and these points provide the user with an incentive to contribute to environmental conservation activities, etc.

[1129] "Emotional state" refers to the user's emotional or psychological state while driving, such as being relaxed or tense.

[1130] "Statistical methods" are mathematical and computational methods for analyzing driving and emotional data and extracting useful information.

[1131] This invention relates to a system that collects and analyzes vehicle driving data and user emotional data, and provides specific advice to maximize fuel efficiency. This system also provides an "Ecology Challenge" where users can accumulate points every time they practice eco-driving, and can exchange these points for donations to environmental protection activities or eco-friendly products.

[1132] The main components of the system include a user terminal, a vehicle control unit, a server, and an emotion engine.

[1133] User device functions

[1134] The user device collects driving data from the vehicle's control unit and transmits it to the server. The driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The user device also uses the smartphone's camera and microphone to analyze the user's facial expressions and voice to generate emotion data.

[1135] Server Features

[1136] The server receives and stores driving and emotional data sent from the user's device. It then analyzes this data in real time to evaluate the user's driving habits and emotional state. The evaluation includes not only an analysis of driving habits based on basic data such as speed changes and accelerator pedal position, but also the user's emotional changes. The server performs an integrated analysis of the driving and emotional data. This allows it to generate advice to improve fuel efficiency and stabilize the user's emotional state. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%."

[1137] The server also calculates eco-driving points based on the results of eco-driving. These points are awarded based on driving data and emotional data. For example, if a user reduces CO2 emissions by 2 kg in one day and has a good emotional state, 50 points will be awarded to the user. The server records and manages eco-driving points and generates notifications when the user reaches a certain number of points. For example, if the user reaches 200 points, the server will send a reminder that the points can be exchanged for eco-friendly products.

[1138] Emotion Engine Functions

[1139] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state in real time. This is done using the smartphone's camera and microphone. The emotion data generated by the emotion engine is sent to a server and analyzed in conjunction with driving data.

[1140] Specific examples

[1141] While a user is riding in an autonomous vehicle, the user device (smartphone camera and microphone) analyzes the user's facial expressions and voice to monitor their emotional state in real time. At the same time, driving data (speed, accelerator position, etc.) is collected from the vehicle's control unit. This data is periodically sent to a server, which then performs an integrated analysis. For example, if the user is in a relaxed state, advice such as "Your emotions are stable, which will make it easier for you to drive safely" is provided. Furthermore, if the user reduces sudden acceleration, specific advice such as "Reducing sudden acceleration will improve fuel efficiency" is also provided.

[1142] Example prompt sentence:

[1143] "Please provide eco-driving advice that should be given to the user while they are in an autonomous vehicle with a relaxed expression."

[1144] This system will enable more accurate fuel efficiency improvement advice and comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[1145] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1146] Step 1:

[1147] The user terminal collects driving data from the vehicle's control unit. The input is driving data from the control unit (speed, accelerator position, frequency of brake use, engine RPM, etc.), and the output is this driving data. The user terminal temporarily stores the data received from the control unit.

[1148] Step 2:

[1149] The user device uses the smartphone's camera and microphone to detect the user's facial expressions and voice and generate emotion data. The input is camera footage and audio data, and the output is emotion data analyzed by the emotion engine. In this process, facial recognition software and audio analysis models are used to detect the user's emotional state in real time.

[1150] Step 3:

[1151] The user device periodically sends the collected driving data and emotion data to the server in batches. The input is the driving data and emotion data stored on the user device, and the output is the data batch sent to the server. The user device executes this process periodically to ensure a stable data flow.

[1152] Step 4:

[1153] The server stores the received driving and emotion data and begins analysis. The input is the data batch sent from the user device, and the output is the raw data stored in the database. The server stores the received data for later analysis.

[1154] Step 5:

[1155] The server analyzes the driving data and evaluates driving habits. The input is the driving data saved in step 4, and the output is the evaluation results such as sudden acceleration, idling time, and the percentage of driving at a constant speed. The server analyzes this data using statistical methods.

[1156] Step 6:

[1157] The server analyzes the emotion data and evaluates the user's emotional state. The input is the emotion data saved in step 4, and the output is the evaluation result of the user's emotional state (e.g., relaxed, nervous, etc.). The server analyzes the emotion data using an emotion engine.

[1158] Step 7:

[1159] The server integrates driving data and emotional data to perform a comprehensive evaluation. The input is the evaluation results from Steps 5 and 6, and the output is specific advice for improving fuel efficiency. The server combines these data to generate more accurate advice.

[1160] Step 8:

[1161] The server generates advice for improving fuel efficiency and sends it to the user's device. The input is the evaluation result of step 7, and the output is advice displayed on the user's device. The server does this in real time and provides it to the user.

[1162] Step 9:

[1163] The user terminal displays the advice received from the server to the user. The input is the advice sent from the server, and the output is the advice displayed on the user terminal. The user terminal displays this visually so that the user can easily understand it.

[1164] Step 10:

[1165] The server evaluates the results of eco-driving and calculates eco-driving points. The input is the results of eco-driving based on driving data and emotion data, and the output is eco-driving points. The server records this and manages the accumulated points.

[1166] Step 11:

[1167] Users exchange their eco-driving points for donations to environmental conservation activities or eco-friendly products. The input is the accumulated eco-driving points, and the output is the donation or exchanged product. The exchange page can be accessed from the user's device, and the server sends a notification.

[1168] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1169] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1170] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1171] [Fourth embodiment]

[1172] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1173] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1174] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1175] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1176] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1177] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1178] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1179] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1180] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1181] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1182] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1183] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1184] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1185] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[1186] System configuration

[1187] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[1188] User device functions

[1189] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and transmits it to the server.

[1190] Server Features

[1191] The server receives and stores driving data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits. The evaluation includes analyzing driving patterns such as sudden acceleration, idling time, and the proportion of constant speed driving based on data such as speed changes and accelerator pedal position.

[1192] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[1193] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[1194] Display function of user terminal

[1195] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[1196] Example

[1197] Specific examples of the present invention will be described below.

[1198] Example 1: Data collection flow

[1199] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server then automatically analyzes the received data and evaluates the user's driving habits.

[1200] Example 2: Generating advice and awarding eco-driving points

[1201] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[1202] Example 3: Ecology Challenge Notification

[1203] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1204] This concludes the description of the "Mode for Carrying Out the Invention." The system allows users to concretely improve their driving habits and maintain sustainable motivation.

[1205] The processing flow will be explained below.

[1206] Step 1:

[1207] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) from the vehicle's control unit. The data is collected in real time and temporarily stored in local storage.

[1208] Step 2:

[1209] The user's terminal converts the temporarily stored driving data into a batch format at regular intervals (for example, every minute) and transmits it to a server via the Internet.

[1210] Step 3:

[1211] The server receives driving data sent from user terminals, stores the received data in a database, and assigns an index to each user.

[1212] Step 4:

[1213] The server analyzes the received driving data in real time, using analytical algorithms to evaluate speed changes, accelerator position, and braking frequency to calculate the percentage of sudden acceleration, idling, and constant speed driving.

[1214] Step 5:

[1215] The server generates specific advice for improving fuel efficiency based on the analysis results, such as "reducing sudden acceleration could improve fuel efficiency by 20%."

[1216] Step 6:

[1217] The server evaluates whether the user followed the advice and calculates eco-driving points based on that, using an algorithm that awards one point for each reduction in sudden acceleration, for example.

[1218] Step 7:

[1219] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[1220] Step 8:

[1221] The user's device receives advice, eco-driving points, and driving evaluation from the server and displays them to the user via a dedicated app or in-car display. The display format is visualized in an easy-to-understand manner using graphs and dashboards.

[1222] Step 9:

[1223] Users can review their daily driving habits based on the displayed advice and eco-driving points, and can also use the points they have accumulated to make donations or exchange for products in the app's "Ecology Challenge" section.

[1224] Through the above processing steps, the system of the present invention allows a user to improve their driving habits and maximize fuel efficiency.

[1225] Example 1

[1226] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1227] In recent years, there has been a growing emphasis on reducing environmental impact through eco-driving. However, there are insufficient means for users to understand their own driving habits and identify specific areas for improvement, making it difficult to maintain their motivation. In addition, there is a lack of systems that effectively utilize eco-driving points, which means users lack the motivation to actively engage in eco-driving.

[1228] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1229] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide the advice, points, and driving evaluation to the user; and a means for the user to exchange the eco-driving points for donations to environmental protection activities or sustainable products. This allows users to specifically understand their driving habits and recognize areas for improvement, thereby maintaining sustained motivation for eco-driving. The point system also promotes eco-driving efforts.

[1230] A "user terminal" is a device that uses a device or smartphone installed in a vehicle to collect driving data and transmit it to a server.

[1231] A "vehicle control unit" is a system that aggregates data from various sensors and devices within the vehicle and provides that data to external devices.

[1232] "Driving data" includes detailed information about the user's driving, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[1233] The "server" is a computer system that receives and stores driving data sent from user devices, analyzes the data, and evaluates driving habits.

[1234] "Batching data" refers to a process for collecting collected operating data at regular intervals and efficiently transmitting the collected data to a server.

[1235] "Fuel efficiency" refers to the distance a vehicle can travel on a certain amount of fuel, and efficiency varies depending on driving method and conditions.

[1236] "Driving habit evaluation" is the process of quantifying and classifying a user's driving behavior based on collected driving data, and obtaining analytical results.

[1237] "Specific advice" refers to instructions or recommendations for improving driving that are provided to the user based on the analysis results.

[1238] "Eco-driving" is an environmentally friendly driving method that aims to improve fuel efficiency and reduce CO2 emissions.

[1239] "Eco-driving points" are points awarded to a user based on the results of eco-driving.

[1240] "Recording and management" is the process by which the server stores information such as driving data and eco-driving points and makes them accessible as needed.

[1241] "Notifying" refers to the act of the server sending specific information or a message to the user terminal to notify the user.

[1242] "Visualizing" refers to displaying information in a user-friendly format so that it can be visually confirmed.

[1243] "Environmental activities" refer to actions and projects aimed at preserving or improving the natural environment.

[1244] "Sustainable products" refer to products that have a low environmental impact and can be used for a long period of time.

[1245] MODE FOR CARRYING OUT THE INVENTION

[1246] The present invention is a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency. The system also offers an "Ecology Challenge" where users can accumulate points each time they practice eco-driving and exchange them for donations to environmental conservation activities or sustainable products.

[1247] System configuration

[1248] This system consists of three main components: a user terminal, a vehicle control unit, and a server. The functions and roles of each component are explained below.

[1249] User device functions

[1250] While a user is driving a vehicle, the user terminal collects driving data from the vehicle's control unit. The driving data includes detailed information such as speed, accelerator position, brake usage frequency, engine RPM, etc. The user terminal periodically creates batches of this data and transmits them to a server using a secure communication protocol (e.g., HTTPS).

[1251] Examples of hardware / software used:

[1252] Hardware: Vehicle OBD-II connector, smartphone

[1253] Software: Vehicle control units, data communication applications

[1254] Server Features

[1255] The server receives driving data sent from the user's device and stores it in a database (e.g., MySQL or PostgreSQL). It then analyzes this data in real time to evaluate the user's driving habits. The server uses analytical algorithms to analyze speed changes, accelerator position, braking frequency, idling time, etc. to identify the user's driving patterns. This processing is performed using data analysis tools (e.g., Apache Kafka, Spark).

[1256] Examples:

[1257] "For users who frequently accelerate suddenly, we will advise them to refrain from sudden acceleration to improve fuel efficiency."

[1258] The server generates specific advice based on the analysis results. For example, it generates a message such as, "Your fuel economy could improve by 20% by reducing sudden acceleration." This advice generation could use natural language processing (NLP) technology. Eco-driving points are also calculated based on the results of eco-driving, and points are awarded based on the amount of CO2 reduction. For example, if 2 kg of CO2 is reduced in one day, 50 points are awarded to the user.

[1259] Examples of hardware / software used:

[1260] Hardware: Servers, database servers

[1261] Software: Database management systems (e.g., MySQL), real-time analytics systems (e.g., Apache Kafka)

[1262] Display function of user terminal

[1263] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving average speed 60km / h, fuel efficiency 15km / L, CO2 reduction 2kg" is displayed in dashboard format.

[1264] Examples of hardware / software used:

[1265] Hardware: Smartphones, tablets

[1266] Software: Mobile application

[1267] Example

[1268] Specific examples of the present invention will be described below.

[1269] Example 1: Data collection flow

[1270] While a user is driving a vehicle, the user's device collects data such as speed, accelerator position, and brake usage frequency every minute and sends it to the server in batches. The server automatically analyzes the received data and evaluates driving habits.

[1271] Example 2: Generating advice and awarding eco-driving points

[1272] The server provides specific advice to users who frequently accelerate suddenly, such as "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[1273] Example 3: Ecology Challenge Notification

[1274] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for sustainable products." The user can then access the sustainable product exchange page from their device and use their points to acquire the products.

[1275] Prompt Sentence Examples

[1276] Here are some examples of prompts to input to a generative AI model:

[1277] "Your program will collect data while the user is driving a vehicle, use that data to analyze their driving habits, and provide advice on maximizing fuel efficiency. You will also need to implement a feature that awards points for eco-driving and sends a notification when a certain number of points are reached."

[1278] The above is a detailed description of the specific configuration and functions of the embodiment of the present invention, which allows users to specifically improve their driving habits and have sustainable motivation.

[1279] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1280] Step 1:

[1281] When a user drives a vehicle, the user device collects driving data in real time from the vehicle's control unit. The inputs include driving data such as speed, accelerator position, brake usage frequency, engine RPM, etc. This data is obtained from sensors and stored on the user device. The output is a batch of collected driving data.

[1282] Specifically, the software on the user terminal acquires data via the vehicle's OBD-II connector, etc., and compiles the data into batches at regular intervals.

[1283] Step 2:

[1284] The user terminal sends the collected driving data to the server in batch format at regular intervals (e.g., every minute). The input is the batch of driving data generated in step 1. The data is sent using a secure communication protocol such as HTTPS. The output is a notification that the data has been sent to the server.

[1285] Specifically, the communication module on the user terminal transmits data to the server via the Internet.

[1286] Step 3:

[1287] The server receives driving data sent from the user terminal and stores it in a database. The input is a batch of driving data. The server stores the data in a database management system (e.g., MySQL) along with a timestamp. The output is a confirmation that the data was successfully saved.

[1288] Specifically, the receiving module on the server side receives the data and writes the batch data to the database.

[1289] Step 4:

[1290] The server analyzes the stored data in real time. The input is driving data retrieved from the database. The server processes the data using analytical algorithms to identify driving patterns such as speed changes, accelerator position, braking frequency, and idling time. The output is an assessment of driving habits.

[1291] Specifically, the server's calculation module processes the data and performs pattern analysis.

[1292] Step 5:

[1293] The server evaluates driving habits and generates specific advice. The input is the evaluation result of driving habits obtained in step 4. Based on the evaluation result, the server generates an advice message such as "Reducing sudden acceleration will improve fuel efficiency." The output is the generated advice.

[1294] Specifically, messages are generated within the server using natural language processing (NLP) technology.

[1295] Step 6:

[1296] The server evaluates the results of eco-driving and calculates eco-driving points. The inputs are the evaluation results of driving habits and the amount of CO2 reduction. The server calculates and awards appropriate eco-driving points based on the amount of CO2 reduction. The output is the calculated points.

[1297] Specifically, the server script calculates the eco-driving points.

[1298] Step 7:

[1299] The server records and manages eco-driving points and notifies the user. The input is the calculated eco-driving points. The server saves the point data in a database and sends a notification message to the user. The output is a notification that the notification has been sent.

[1300] Specifically, the server's notification module writes the point information to the database and sends a notification to the user terminal.

[1301] Step 8:

[1302] The user terminal receives advice, eco-driving points, and driving evaluation from the server and visually displays them. The input is advice and point information sent from the server. The user terminal displays this in a dashboard format. The output is a display screen on which the user can visually check the information.

[1303] Specifically, the display module of the user terminal analyzes the received data and displays it to the user using a GUI.

[1304] (Application example 1)

[1305] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1306] Conventional eco-driving support systems lack the real-time capability and ability to provide specific advice when collecting and analyzing driving data, making it difficult for users to quickly improve their behavior. Furthermore, when awarding and managing eco-driving points, they lack a function that allows users to immediately grasp the results. This makes it difficult to maintain motivation for environmental protection activities and product exchanges over the long term. Furthermore, there are limited methods for connecting to vehicles when collecting driving data, which limits the versatility of data collection.

[1307] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1308] In this invention, the server includes: a means for a user terminal to collect driving data from the vehicle's control unit; a means for transmitting the driving data to the server; a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; a means for the server to evaluate the results of eco-driving and calculate eco-driving points; a means for the server to record and manage the eco-driving points and notify the user; a means for the user terminal to visualize and provide advice, points, and driving evaluations to the user; a means for the user to exchange eco-driving points for donations to environmental protection activities or eco-friendly products; a means for collecting driving data from the vehicle in real time via Bluetooth; a means for transmitting the driving data to the server and receiving driving habit analysis results and advice in real time; and a means for the user to receive specific advice based on the results of their eco-driving practices. This allows users to improve their driving habits in real time, instantly understand the effects of eco-driving, and maintain their motivation. Furthermore, data collection via Bluetooth allows for flexible vehicle connection methods, enabling use with a variety of vehicles.

[1309] A "user terminal" is a device that collects vehicle driving data, transmits it to a server, and provides advice and point information from the server to the user.

[1310] The "vehicle control unit" is a control device within the vehicle that manages the vehicle's operating status and various operation data, and provides data to the user terminal.

[1311] "Driving data" is a general term for information that indicates the user's driving habits, such as vehicle speed, accelerator opening, frequency of brake use, and engine speed.

[1312] The "server" is a central control device that collects and analyzes driving data, generates advice for improving fuel efficiency, and manages eco-driving points.

[1313] "Real-time" refers to a time frame in which data and information are processed and results are provided almost immediately at the moment they are collected.

[1314] "Bluetooth" is a short-range wireless communication technology that allows data to be exchanged wirelessly between a vehicle and a user terminal.

[1315] "Fuel efficiency" is an index that indicates the efficiency of driving to optimize the distance traveled per unit of fuel.

[1316] "Specific advice" is specific, actionable instructions or suggestions for improving a user's driving habits based on driving data.

[1317] "Eco-driving points" are reward points awarded to users based on the results of eco-friendly driving.

[1318] The "Ecology Challenge" is a program that allows users to use the eco-driving points they have earned to donate to environmental conservation activities or exchange them for eco-friendly products.

[1319] The "driving evaluation" is the result of the server analyzing the driving data using statistical methods and evaluating the user's driving habits.

[1320] "Visualization" refers to the process of presenting data or information in a way that is easily understandable to users.

[1321] The present invention is a system that analyzes a user's driving data and provides specific advice to maximize fuel efficiency. The system collects driving data in real time, evaluates driving habits, and awards users eco-driving points, offering an ecological challenge that allows users to donate to environmental protection activities or exchange points for products.

[1322] System configuration

[1323] This system consists of three main components: a user terminal, a vehicle control unit, and a server. Each component functions as follows:

[1324] User device functions

[1325] The user terminal collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The data is also batched at regular intervals and sent to the server. This transmission process uses the HTTP protocol.

[1326] Server Features

[1327] The server receives driving data sent from the user's device and stores it in a database. The received data is analyzed in real time to evaluate the user's driving habits. Statistical methods are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving from data such as speed changes and accelerator opening. Specific advice for improving fuel efficiency is then generated.

[1328] For example, it generates a message such as "By reducing sudden acceleration, fuel economy may be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points based on the amount of CO2 reduced, which are awarded to the user. For example, if 2 kg of CO2 is reduced in one day, 50 points will be awarded to the user.

[1329] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange their points for eco-friendly products.

[1330] Display function of user terminal

[1331] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this, fuel efficiency, driving evaluation, CO2 reduction, etc. are visualized and presented to the user in an easy-to-understand format. For example, information such as "Today's driving resulted in an average speed of 60 km / h, fuel efficiency of 15 km / L, and CO2 reduction of 2 kg" is displayed in dashboard format.

[1332] Specific examples

[1333] 1. Data collection flow

[1334] While a user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, and sends it to the server in batches every minute. The server analyzes the received data in real time and evaluates driving habits.

[1335] 2. Generating advice and awarding eco-driving points

[1336] The server provides specific advice to users who frequently accelerate suddenly, such as, "Your fuel economy will improve if you reduce sudden acceleration." If the user follows the advice and reduces sudden acceleration, the server calculates the amount of CO2 reduced in one day and awards appropriate eco-driving points.

[1337] 3. Ecology Challenge Notification

[1338] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1339] Prompt Sentence Examples

[1340] Examples of prompts for generative AI models include:

[1341] Analyze driving data and provide advice to users on how to improve fuel efficiency. Current data is: {Driving Data}

[1342] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1343] Step 1:

[1344] The user device collects driving data in real time from the vehicle's control unit via Bluetooth. The collected driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The input is vehicle sensor data, which the device temporarily stores.

[1345] Step 2:

[1346] The data is collected in batch format at regular intervals and sent to the server using the HTTP protocol. The input is the collected driving data batch, and the output is the data to be sent to the server. The terminal formats the data appropriately at the time of transmission.

[1347] Step 3:

[1348] The server stores the received driving data in a database. The input is the data sent from the terminal, and the output is the formatted data stored in the database. The server checks the consistency of the data, and records an error log if there is an inconsistency.

[1349] Step 4:

[1350] The server analyzes driving data in real time. Statistical methods are used for the analysis, and data such as speed changes and throttle position are used to calculate the percentage of sudden acceleration, idling time, and constant speed driving. The input is the driving data read from the database, and the output is the analysis results. The server generates a score to evaluate driving habits based on the analysis results.

[1351] Step 5:

[1352] The server generates specific advice to improve fuel efficiency. The generated advice might be in the form of, for example, "reducing sudden acceleration will improve fuel efficiency by 20%." The input is the analysis results, and the output is driving improvement advice. The server automatically generates specific advice using a generative AI model.

[1353] Step 6:

[1354] The server evaluates the results of eco-driving, calculates eco-driving points based on the amount of CO2 reduced, and awards them to the user. The input is driving data and analysis results, and the output is the calculated points. The server executes the point awarding logic and records the points in a database.

[1355] Step 7:

[1356] The server records and manages eco-driving points and notifies the user. The input is the calculated points, and the output is a notification message to the user's terminal. The server generates a reminder when a certain number of points is reached, for example, 200 points, that can be exchanged for eco-friendly products.

[1357] Step 8:

[1358] The user device receives advice, eco-driving points, and driving evaluation from the server in real time, visualizes them, and provides them to the user. The input is the message sent from the server, and the output is the information displayed to the user. The user device visualizes the information in a dashboard format using a GUI.

[1359] Step 9:

[1360] Users can accumulate eco-driving points, and when they reach a certain number of points, they can donate them to environmental protection activities or exchange them for eco-friendly products. The input is the accumulated eco-driving points, and the output is a message that the donation procedure has been completed or a message confirming the exchange of products. The user terminal provides screens for these procedures, making them easy for users to operate.

[1361] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1362] This invention combines a system that analyzes a user's driving habits and provides specific advice to maximize fuel efficiency with an emotion engine that recognizes and analyzes the user's emotions. This system also offers an "Ecology Challenge" where users can accumulate points every time they practice eco-driving and exchange them for donations to environmental protection activities or eco-friendly products.

[1363] System configuration

[1364] This system consists of four main components: a user terminal, a vehicle control unit, a server, and an emotion engine. The functions and roles of each component are explained below.

[1365] User device functions

[1366] The user terminal collects driving data from the vehicle's control unit while the user is driving the vehicle. The driving data includes information such as speed, accelerator position, brake usage frequency, and engine RPM. The user terminal periodically batches this data and sends it to the server. The user terminal also analyzes the user's facial expressions and voice to generate emotion data for use by the emotion engine.

[1367] Server Features

[1368] The server receives and stores driving and emotional data sent from the user's device. It then analyzes the received data in real time to evaluate the user's driving habits and emotional state. The evaluation includes analyzing driving and emotional patterns such as sudden acceleration, idling time, the percentage of constant speed driving, and emotional changes based on basic data such as speed changes and accelerator opening.

[1369] Based on the analysis results, the server generates specific advice for improving fuel efficiency. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%." It also evaluates the results of eco-driving and calculates eco-driving points. Points are awarded based on the amount of CO2 reduction and emotional data. For example, if a user reduces CO2 by 2 kg in one day and maintains a positive emotional state, they will be awarded 50 points.

[1370] The server records and manages these points and generates notifications when users reach a certain number of points, for example, 200 points, sending a reminder that they can exchange them for eco-friendly products.

[1371] Emotion Engine Functions

[1372] The emotion engine recognizes the user's emotional state from facial expressions, voice, and other biometric information, thereby understanding the user's emotional state in real time while driving and sending that information to the server.

[1373] Display function of user terminal

[1374] The user device receives advice, eco-driving points, and driving evaluation from the server in real time. Using this information, fuel efficiency, driving evaluation, CO2 reduction, emotional state, etc. are visualized and provided to the user in an easy-to-understand format. For example, information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[1375] Example

[1376] Specific examples of the present invention will be described below.

[1377] Example 1: Data collection flow

[1378] While the user is driving, the user's device collects data such as speed, accelerator position, and brake usage frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received driving and emotional data and evaluates the user's driving and emotional habits.

[1379] Example 2: Generating advice and awarding eco-driving points

[1380] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, the server analyzes the impact of the user's emotional state on driving, and if the user's emotional state is good, it generates additional advice such as "stabilizing emotions will make driving safer." If the user follows the advice and reduces sudden acceleration, and their emotional state is also stable, they are awarded appropriate eco-driving points based on the amount of CO2 reduced in a day and their emotional data.

[1381] Example 3: Ecology Challenge Notification

[1382] When a user accumulates 200 eco-driving points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1383] This concludes the description of the preferred embodiment of the present invention. The system allows users to concretely improve their driving habits and emotional state, and to maintain sustainable motivation.

[1384] The processing flow will be explained below.

[1385] Step 1:

[1386] The user's device collects driving data (speed, accelerator position, frequency of brake use, engine RPM, etc.) in real time from the vehicle's control unit. At the same time, the emotion engine analyzes the user's facial expressions and voice to generate emotion data.

[1387] Step 2:

[1388] The user's device converts the temporarily stored driving data and emotion data into a batch format at regular intervals (for example, every minute) and sends it to the server.

[1389] Step 3:

[1390] The server receives the driving data and emotion data sent from the user terminal, stores the received data in a database, and assigns an index to each user.

[1391] Step 4:

[1392] The server analyzes the received driving data and emotional data in real time, including driving data such as speed changes, accelerator position, and frequency of braking, as well as emotional data derived from facial expressions and voice.

[1393] Step 5:

[1394] The server evaluates the user's driving habits and emotional state based on the driving data and emotional data, such as detecting the frequency of sudden acceleration, idling time, percentage of constant speed driving, and emotional changes such as joy, anger, sadness, and happiness.

[1395] Step 6:

[1396] Based on the evaluation results, the server generates specific advice to provide to the user to improve fuel efficiency. For example, if the frequency of sudden acceleration is high, the server may generate advice such as "Your fuel efficiency could improve by 20% by reducing sudden acceleration," and if stressful driving is inferred from emotional data, the server may add advice such as "Try to drive in a relaxed manner."

[1397] Step 7:

[1398] The server evaluates the user's eco-driving performance and emotional state, and calculates eco-driving points based on the evaluation. For example, points are awarded for reducing sudden acceleration and maintaining a positive emotional state.

[1399] Step 8:

[1400] The server records the calculated eco-driving points for each user and generates a notification when the points reach a certain value. For example, when the points reach 200, it generates a notification saying "You can exchange them for eco-friendly products."

[1401] Step 9:

[1402] The user's device receives advice, eco-driving points, and driving and emotional evaluations from the server in real time, and displays them to the user through a dedicated app or in-car display. For example, it displays "Today's driving average speed: 60km / h, fuel economy: 15km / L, CO2 reduction: 2kg, emotional state: good."

[1403] Step 10:

[1404] Users can review the displayed advice and eco-driving points, review their daily driving habits, and drive while being mindful of their emotional state. They can also redeem their accumulated points for donations or eco-friendly products in the "Ecology Challenge" section of the app.

[1405] Through the above processing steps, the system of the present invention can evaluate and improve the user's driving habits and emotional state, thereby improving fuel efficiency and driving quality.

[1406] Example 2

[1407] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1408] Conventional driving evaluation systems have difficulty providing specific advice on improving users' driving patterns and energy consumption efficiency. Furthermore, they do not take into account users' emotional states, which affect their driving habits, making it difficult to motivate users to continue eco-driving. Furthermore, they do not provide a concrete way for users to donate eco-driving points to environmental conservation activities or exchange them for eco-friendly products.

[1409] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing operation information and generating specific advice for improving energy consumption efficiency, means for evaluating the results of eco-driving and calculating eco-driving points, and means for receiving and saving emotion data and evaluating driving and emotional habits. This makes it possible to provide evaluations and advice that take into account the user's driving patterns and emotional state, promote sustainable eco-driving, and make specific use of eco-driving points.

[1410] A "user terminal" is a device that collects operation information of a mobile object used by a user and transmits it to a server.

[1411] A "vehicle" is an operable machine, including a vehicle or other means of transportation.

[1412] A "control device" is a device for controlling the operation of a mobile object, and is a unit that provides operation information.

[1413] "Operation information" is data related to driving a mobile object, and includes speed, accelerator opening, frequency of brake use, engine speed, and the like.

[1414] "Server" refers to a computer system that receives, stores, and analyzes data sent from user terminals and provides advice and evaluations to users.

[1415] "Energy consumption efficiency" is the degree to which the amount of energy consumed to perform a certain task is efficiently minimized.

[1416] "Advice" is a specific suggestion or instruction to improve the user's driving habits.

[1417] "Eco-driving" is a way of driving that minimizes energy consumption and is environmentally friendly.

[1418] "Eco-driving points" are points awarded to a user in response to the execution of eco-driving.

[1419] "Natural environment conservation activities" are activities aimed at maintaining and restoring the global environment.

[1420] "Eco products" are products made using environmentally friendly materials and manufacturing methods.

[1421] "Facial expressions and voice" refers to the user's facial movements and the tone and content of their voice, and is data used to estimate the user's emotional state.

[1422] "Emotion data" refers to information on emotions estimated from a user's facial expressions and voice. This invention relates to a system that analyzes a user's driving habits and emotional state in real time, and provides advice and awards points to promote eco-driving. This system is composed of multiple hardware and software components, including a user terminal, a vehicle control unit (ECU), a server, and an emotion engine.

[1423] User device functions

[1424] The user terminal is installed inside the vehicle and collects operation information in real time from the vehicle's control device. The collected operation information includes speed, accelerator position, brake usage frequency, and engine RPM. The user terminal uses a front camera and microphone to analyze the user's facial expressions and voice, and generates emotion data based on this. The user terminal periodically batches the collected data and sends it to the server.

[1425] Server Features

[1426] The server receives operation information and emotional data sent from the user's device and stores it in a database. The stored data is analyzed in real time to evaluate driving patterns and emotional states. For example, driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving are analyzed. Emotional data provided by the emotion engine is also taken into account to evaluate the user's stress level and emotional stability. Based on this, the server generates specific advice for improving energy consumption efficiency. For example, a message such as "reducing sudden acceleration could improve fuel efficiency by 20%" is generated.

[1427] Eco-driving points awarded

[1428] The server calculates eco-driving points based on the user's driving data and emotional data. For example, if a user reduces 2 kg of CO2 in one day and maintains a positive emotional state, 50 points will be awarded to the user. These points are recorded in the user's account and accumulated. When the points reach a certain threshold (for example, 200 points), the user is notified that they can be exchanged for eco-friendly products. Based on this notification, the user can use the points to donate to environmental conservation activities or exchange them for eco-friendly products.

[1429] Emotion Engine Functions

[1430] The emotion engine recognizes the user's emotional state in real time based on their facial expressions, voice, and biometric information. The evaluation results from the emotion engine are sent to a server and analyzed together with driving data. This data is used to determine how emotions affect the user's driving performance, and advice is provided to promote safe and eco-friendly driving.

[1431] Display function of user terminal

[1432] The user's device displays the advice, eco-driving points, and driving evaluation received from the server in real time. For example, information such as "Today's driving average speed: 60 km / h, fuel economy: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is visualized in a dashboard format. This allows the user to understand their driving habits and emotional state at a glance, motivating them to continue eco-driving.

[1433] Example

[1434] Specific examples of the present invention will be described below.

[1435] Example 1: Data collection flow

[1436] While the user is driving, the user's device collects operational information such as speed, accelerator position, and braking frequency, as well as emotional data by analyzing the user's facial expressions and voice. This data is sent to the server in batches every minute. The server automatically analyzes the received data and evaluates the user's driving habits and emotional state.

[1437] Prompt Sentence Examples

[1438] "How can we collect driving and emotional data from users while driving a car and send it to a server in real time?"

[1439] Example 2: Generating advice and awarding eco-driving points

[1440] The server provides specific advice to users who frequently accelerate suddenly, such as "reducing sudden acceleration will improve fuel efficiency." Furthermore, if the user's emotional state is good based on the emotional data, the server generates additional advice such as "stabilizing emotions will make it easier to drive safely." If the user follows the advice to reduce sudden acceleration and maintains a stable emotional state, appropriate eco-driving points are awarded based on the amount of CO2 reduced in a day and the emotional data.

[1441] Prompt Sentence Examples

[1442] "How can we analyze a user's driving and emotional data and generate specific recommendations to improve fuel economy?"

[1443] Example 3: Ecology Challenge Notification

[1444] When a user accumulates eco-driving points and reaches 200 points, the server sends a notification to the user's device saying, "You can exchange your points for eco-friendly products." The user can then access the eco-friendly product exchange page from their device and use their points to obtain the products.

[1445] Prompt Sentence Examples

[1446] "How can I send a notification to users who have accumulated 200 eco-driving points to exchange them for eco-friendly products?"

[1447] This concludes the detailed description of the invention. The system allows users to make concrete improvements to their driving habits and emotional state, and to maintain sustainable motivation.

[1448] The flow of the specific processing in the second embodiment will be described with reference to Fig. 13.

[1449] Step 1: Data collection

[1450] input:

[1451] Operational information when the user drives a vehicle (speed, accelerator position, frequency of brake use, engine RPM), as well as facial expression and voice data.

[1452] Operation:

[1453] The user device collects operational information from the vehicle's control unit (ECU) in real time, and simultaneously captures the user's facial expressions and voice using a front camera and microphone, and generates emotion data using an emotion engine.

[1454] output:

[1455] A batch of operational information and emotion data.

[1456] Step 2: Send data

[1457] input:

[1458] The batch of operation information and emotion data generated in step 1.

[1459] Operation:

[1460] The user terminal generates batches of operation information and emotion data at regular intervals and transmits them to the server.

[1461] output:

[1462] A batch of operation information and emotion data sent to the server.

[1463] Step 3: Receiving and storing data

[1464] input:

[1465] A batch of operation information and emotion data sent from the user device.

[1466] Operation:

[1467] The server stores the operation information and emotion data received from the user device in a database, which is organized in chronological order.

[1468] output:

[1469] Organized and stored operational information and emotional data.

[1470] Step 4: Data analysis

[1471] input:

[1472] Operation information and emotion data stored in a database.

[1473] Operation:

[1474] The server analyzes the stored operation information to detect driving patterns such as the frequency of sudden acceleration, idling time, and the proportion of constant speed driving. It also evaluates emotional data and analyzes changes in the user's emotional state. Based on these analysis results, it generates specific advice for improving energy consumption efficiency.

[1475] output:

[1476] Driving pattern evaluation results and specific advice.

[1477] Step 5: Calculating eco-driving points

[1478] input:

[1479] Data analysis results (driving pattern evaluation results and emotional state).

[1480] Operation:

[1481] The server calculates eco-driving points based on the evaluation of driving patterns and changes in emotional data. Points are awarded based on the amount of CO2 reduction and emotional stability.

[1482] output:

[1483] Calculated eco-driving points.

[1484] Step 6: Record and manage points

[1485] input:

[1486] Calculated eco-driving points.

[1487] Operation:

[1488] The server records the calculated eco-driving points in the user's account and manages their accumulation. When the points reach a certain threshold, it generates a notification to the user.

[1489] output:

[1490] Recorded eco driving points and notifications.

[1491] Step 7: User feedback

[1492] input:

[1493] Driving pattern evaluation results, specific advice, and eco-driving tips.

[1494] Operation:

[1495] The user device visualizes the evaluation results, advice, and eco-driving points received from the server and provides them to the user. Information such as "Today's driving average speed: 60 km / h, fuel efficiency: 15 km / L, CO2 reduction: 2 kg, emotional state: good" is displayed in dashboard format.

[1496] output:

[1497] Feedback information provided to the user (evaluation results, specific advice, eco-driving points).

[1498] The above is the specific flow of processing by the program of this system. At each step, data processing or data calculation is performed based on the input data to generate the respective output.

[1499] (Application example 2)

[1500] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1501] While conventional technologies analyze a user's driving habits and provide advice to improve fuel efficiency, they do not take into account the impact of the user's emotional state on driving, which means that stress and anxiety while driving can have a negative impact on fuel efficiency. Furthermore, evaluation of the results of eco-driving practices is limited to quantitative data, and no comprehensive evaluation that reflects the user's emotional state has been performed. As a result, it has been difficult to maintain the user's sustainable motivation.

[1502] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1503] In this invention, the server includes a means for the user terminal to collect driving data, a means for transmitting the driving data to the server, a means for the server to analyze the driving data and generate specific advice for improving fuel efficiency, a means for the server to analyze emotional data and generate advice taking the emotional state into consideration, and a means for the server to evaluate the results of eco-driving and calculate eco-driving points. This enables more accurate advice for improving fuel efficiency and a comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[1504] A "user terminal" is a device that allows a user to collect driving data and emotional data in a vehicle and transmit them to a server.

[1505] A "vehicle control unit" is a device for monitoring and controlling the driving state of a vehicle and acquiring driving data.

[1506] "Driving data" refers to various information related to driving, such as vehicle speed, accelerator position, frequency of brake use, and engine speed.

[1507] A "server" is a device that receives, stores, and analyzes data sent from a user terminal, and provides specific advice and evaluations to the user.

[1508] "Emotion data" is information about the emotional state extracted from the user's facial expression, voice, etc.

[1509] "Fuel efficiency improvement advice" refers to specific instructions and suggestions for reducing fuel consumption based on an analysis of the user's driving habits.

[1510] "Eco-driving" refers to optimizing fuel efficiency and practicing environmentally friendly driving practices.

[1511] "Eco-driving points" are points awarded based on the results of a user's eco-driving, and these points provide the user with an incentive to contribute to environmental conservation activities, etc.

[1512] "Emotional state" refers to the user's emotional or psychological state while driving, such as being relaxed or tense.

[1513] "Statistical methods" are mathematical and computational methods for analyzing driving and emotional data and extracting useful information.

[1514] This invention relates to a system that collects and analyzes vehicle driving data and user emotional data, and provides specific advice to maximize fuel efficiency. This system also provides an "Ecology Challenge" where users can accumulate points every time they practice eco-driving, and can exchange these points for donations to environmental protection activities or eco-friendly products.

[1515] The main components of the system include a user terminal, a vehicle control unit, a server, and an emotion engine.

[1516] User device functions

[1517] The user device collects driving data from the vehicle's control unit and transmits it to the server. The driving data includes speed, accelerator position, brake usage frequency, engine RPM, etc. The user device also uses the smartphone's camera and microphone to analyze the user's facial expressions and voice to generate emotion data.

[1518] Server Features

[1519] The server receives and stores driving and emotional data sent from the user's device. It then analyzes this data in real time to evaluate the user's driving habits and emotional state. The evaluation includes not only an analysis of driving habits based on basic data such as speed changes and accelerator pedal position, but also the user's emotional changes. The server performs an integrated analysis of the driving and emotional data. This allows it to generate advice to improve fuel efficiency and stabilize the user's emotional state. For example, it generates a message such as, "By reducing sudden acceleration, fuel efficiency could be improved by 20%."

[1520] The server also calculates eco-driving points based on the results of eco-driving. These points are awarded based on driving data and emotional data. For example, if a user reduces CO2 emissions by 2 kg in one day and has a good emotional state, 50 points will be awarded to the user. The server records and manages eco-driving points and generates notifications when the user reaches a certain number of points. For example, if the user reaches 200 points, the server will send a reminder that the points can be exchanged for eco-friendly products.

[1521] Emotion Engine Functions

[1522] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state in real time. This is done using the smartphone's camera and microphone. The emotion data generated by the emotion engine is sent to a server and analyzed in conjunction with driving data.

[1523] Specific examples

[1524] While a user is riding in an autonomous vehicle, the user device (smartphone camera and microphone) analyzes the user's facial expressions and voice to monitor their emotional state in real time. At the same time, driving data (speed, accelerator position, etc.) is collected from the vehicle's control unit. This data is periodically sent to a server, which then performs an integrated analysis. For example, if the user is in a relaxed state, advice such as "Your emotions are stable, which will make it easier for you to drive safely" is provided. Furthermore, if the user reduces sudden acceleration, specific advice such as "Reducing sudden acceleration will improve fuel efficiency" is also provided.

[1525] Example prompt sentence:

[1526] "Please provide eco-driving advice that should be given to the user while they are in an autonomous vehicle with a relaxed expression."

[1527] This system will enable more accurate fuel efficiency improvement advice and comprehensive eco-driving evaluation based on the user's driving habits and emotional state.

[1528] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1529] Step 1:

[1530] The user terminal collects driving data from the vehicle's control unit. The input is driving data from the control unit (speed, accelerator position, frequency of brake use, engine RPM, etc.), and the output is this driving data. The user terminal temporarily stores the data received from the control unit.

[1531] Step 2:

[1532] The user device uses the smartphone's camera and microphone to detect the user's facial expressions and voice and generate emotion data. The input is camera footage and audio data, and the output is emotion data analyzed by the emotion engine. In this process, facial recognition software and audio analysis models are used to detect the user's emotional state in real time.

[1533] Step 3:

[1534] The user device periodically sends the collected driving data and emotion data to the server in batches. The input is the driving data and emotion data stored on the user device, and the output is the data batch sent to the server. The user device executes this process periodically to ensure a stable data flow.

[1535] Step 4:

[1536] The server stores the received driving and emotion data and begins analysis. The input is the data batch sent from the user device, and the output is the raw data stored in the database. The server stores the received data for later analysis.

[1537] Step 5:

[1538] The server analyzes the driving data and evaluates driving habits. The input is the driving data saved in step 4, and the output is the evaluation results such as sudden acceleration, idling time, and the percentage of driving at a constant speed. The server analyzes this data using statistical methods.

[1539] Step 6:

[1540] The server analyzes the emotion data and evaluates the user's emotional state. The input is the emotion data saved in step 4, and the output is the evaluation result of the user's emotional state (e.g., relaxed, nervous, etc.). The server analyzes the emotion data using an emotion engine.

[1541] Step 7:

[1542] The server integrates driving data and emotional data to perform a comprehensive evaluation. The input is the evaluation results from Steps 5 and 6, and the output is specific advice for improving fuel efficiency. The server combines these data to generate more accurate advice.

[1543] Step 8:

[1544] The server generates advice for improving fuel efficiency and sends it to the user's device. The input is the evaluation result of step 7, and the output is advice displayed on the user's device. The server does this in real time and provides it to the user.

[1545] Step 9:

[1546] The user terminal displays the advice received from the server to the user. The input is the advice sent from the server, and the output is the advice displayed on the user terminal. The user terminal displays this visually so that the user can easily understand it.

[1547] Step 10:

[1548] The server evaluates the results of eco-driving and calculates eco-driving points. The input is the results of eco-driving based on driving data and emotion data, and the output is eco-driving points. The server records this and manages the accumulated points.

[1549] Step 11:

[1550] Users exchange their eco-driving points for donations to environmental conservation activities or eco-friendly products. The input is the accumulated eco-driving points, and the output is the donation or exchanged product. The exchange page can be accessed from the user's device, and the server sends a notification.

[1551] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1552] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1553] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1554] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1555] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1556] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1557] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1558] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1559] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1560] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1561] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1562] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1563] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1564] 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.

[1565] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1566] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1567] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1568] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1569] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1570] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1571] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1572] The following is further disclosed regarding the above embodiment.

[1573] (Claim 1)

[1574] means for the user terminal to collect driving data from a control unit of the vehicle;

[1575] means for transmitting driving data to a server;

[1576] A means for the server to analyze the driving data and generate specific advice for improving fuel efficiency;

[1577] A means for the server to evaluate the results of eco-driving and calculate eco-driving points;

[1578] A server records and manages eco-driving points and notifies the user of the points;

[1579] A means for the user terminal to visualize and provide advice, points, and driving evaluation to the user;

[1580] A way for users to exchange their EcoDrive points for donations to environmental conservation efforts or eco-friendly products.

[1581] A system including:

[1582] (Claim 2)

[1583] 2. The system according to claim 1, further comprising means for the user terminal to collect driving data in real time from the vehicle control unit, and to periodically batch the data and transmit it to the server.

[1584] (Claim 3)

[1585] 10. The system of claim 1, further comprising means for the server to statistically analyze the user's driving data to assess the proportion of sudden acceleration, idling time, and constant speed driving.

[1586] "Example 1"

[1587] (Claim 1)

[1588] means for the user terminal to collect driving data from a control unit of the vehicle;

[1589] means for transmitting driving data to a server;

[1590] A means for the server to analyze the driving data and generate specific advice for improving fuel efficiency;

[1591] A means for the server to evaluate the results of eco-driving and calculate eco-driving points;

[1592] A server records and manages eco-driving points and notifies the user of the points;

[1593] A means for the user terminal to visualize and provide advice, points, and driving evaluation to the user;

[1594] A way for users to exchange their EcoDrive points for environmental donations or sustainable products.

[1595] A system including:

[1596] (Claim 2)

[1597] 2. The system according to claim 1, further comprising means for the user terminal to collect driving data in real time from the vehicle control unit, and to periodically batch the data and transmit it to the server.

[1598] (Claim 3)

[1599] 10. The system of claim 1, further comprising means for the server to statistically analyze the user's driving data to assess the proportion of sudden acceleration, idling time, and constant speed driving.

[1600] "Application Example 1"

[1601] (Claim 1)

[1602] means for the user terminal to collect driving data from a control unit of the vehicle;

[1603] means for transmitting driving data to a server;

[1604] A means for the server to analyze the driving data and generate specific advice for improving fuel efficiency;

[1605] A means for the server to evaluate the results of eco-driving and calculate eco-driving points;

[1606] A server records and manages eco-driving points and notifies the user of the points;

[1607] A means for the user terminal to visualize and provide advice, points, and driving evaluation to the user;

[1608] A way for users to exchange their EcoDrive points for donations to environmental conservation efforts or eco-friendly products.

[1609] A means of collecting dri...

Claims

1. means for the user terminal to collect driving data from a control unit of the vehicle; means for transmitting driving data to a server; A means for the server to analyze the driving data and generate specific advice for improving fuel efficiency; A means for the server to evaluate the results of eco-driving and calculate eco-driving points; A server records and manages eco-driving points and notifies the user of the points; A means for the user terminal to visualize and provide advice, points, and driving evaluation to the user; A way for users to exchange their EcoDrive points for donations to environmental conservation efforts or eco-friendly products. A system including:

2. 2. The system of claim 1, further comprising means for the user terminal to collect driving data in real time from the vehicle's control unit, and to periodically batch the data and transmit it to the server.

3. 2. The system of claim 1, further comprising means for the server to statistically analyze the user's driving data to assess the proportion of hard acceleration, idling time, and constant speed driving.

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