system

Abstract

We provide the system. [Solution] A means of acquiring information about the physical condition of a craftsman, A means of monitoring health status by analyzing acquired physical condition information, Means for collecting work progress information, A means to optimize the movement plan based on collected work progress information and worker location information, A means of displaying the above information on the administrator's terminal, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] An object of the present invention is to improve the working environment of craftsmen in the construction industry. Specifically, in order to address the problems caused by the normalization of long working hours and the shortage of craftsmen on-site, it is an object of the present invention to provide a technology that enables monitoring of the physical condition of craftsmen and efficient management of work.

Means for Solving the Problems

[0005] The present invention includes means for acquiring the physical condition information of a craftsman, analyzing it, and monitoring the health condition. Further, means for collecting work progress information and optimizing the movement plan in combination with the position information of the craftsman is provided. Thereby, it is possible to support the proper placement of craftsmen and the improvement of work efficiency, and to improve the working environment at the construction site.

[0006] A "craftsman" is a worker who uses specialized skills and knowledge to perform tasks at a construction site.

[0007] "Physical condition information" refers to numerical data and biometric indicators that show the health and physical condition of a craftsman. This includes, for example, heart rate and body temperature.

[0008] "Means of monitoring health status" refers to systems and processes for analyzing information about the physical condition of craftsmen and detecting abnormalities.

[0009] "Work progress information" refers to data that shows the completion status and progress of the work assigned to each craftsman.

[0010] "Location information" refers to data indicating the geographical location of a craftsman, and is acquired using technologies such as GPS.

[0011] "Means for optimizing movement plans" refer to algorithms and systems that optimize the routes and sequences of movement between sites and work areas in order to improve the work efficiency of craftsmen.

[0012] An "administrator terminal" is a computer or device used by an administrator to operate the system and monitor data. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the language used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the numbered communication I / F (Interface) is an interface that includes a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] As an embodiment of the present invention, a system for managing the health and work efficiency of craftsmen is provided. The system consists of a terminal used by the craftsmen, a server for processing data, and a user who manages it.

[0035] Terminal role

[0036] The devices used by the craftsmen are smartphones or dedicated devices equipped with vital signs sensors. These devices allow the craftsmen to obtain real-time information about their physical condition, such as heart rate and body temperature, and input their work progress. The devices then transmit this data to a server.

[0037] Server Role

[0038] The server plays a central role in receiving and analyzing physical condition and work progress information sent from terminals. The server analyzes the physical condition information to monitor health status and sends alerts to administrators as needed. It also optimizes the next tasks and destinations for workers based on the work progress information. In this way, the server streamlines the workers' movements and prevents work delays.

[0039] User roles

[0040] Users primarily act as administrators, managing the health and work of craftsmen based on various information provided by the server. Administrators can monitor the craftsmen's health status and work progress through a dashboard. If an alert occurs, the administrator can issue appropriate instructions to the craftsmen and take measures to improve the working environment.

[0041] Specific example

[0042] For example, when craftsman A begins work on-site, he inputs his heart rate and body temperature using a terminal. This information is sent to a server, which analyzes the data to assess craftsman A's health. If no abnormalities are detected, craftsman A continues to input his work progress. Based on this progress data, the server calculates the next necessary tasks and movements and notifies the terminal of an optimized plan. The user (administrator) can check craftsman A's status and progress through a dashboard and make adjustments to improve overall work efficiency.

[0043] This system manages both the health and efficiency of workers, aiming to improve working conditions at construction sites.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The device uses sensors installed in the craftsman's smartphone to acquire physical condition information such as heart rate and body temperature. The acquired data is automatically sent to a server via a dedicated app.

[0047] Step 2:

[0048] The server analyzes the physical condition information received from the terminal and evaluates the worker's health status by comparing it to pre-set health standards. If an abnormality is detected, the server generates an alert and notifies the administrator.

[0049] Step 3:

[0050] The terminal provides an interface that allows craftsmen to input progress information while working. Craftsmen use the app to report the start, completion, and intermediate progress of their work.

[0051] Step 4:

[0052] The server collects input work progress information and worker location information, and uses an AI algorithm based on this data to optimize the travel plan to the next work location.

[0053] Step 5:

[0054] The server notifies the terminal of the optimized work sequence and travel route. This allows the worker to know in real time which work site to go to next and the procedure to follow.

[0055] Step 6:

[0056] The user (administrator) checks information provided by the server through the dashboard and monitors the health status of the workers and the progress of their work. If necessary, the administrator issues instructions to the workers and adjusts their work.

[0057] (Example 1)

[0058] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0059] Simultaneously optimizing the health management and work efficiency of workers is difficult, especially in labor-intensive environments such as construction sites. Current systems often involve checking health information and optimizing work processes individually, which makes it difficult to balance health management and work efficiency. This can increase the health risks for workers and potentially lead to work delays.

[0060] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0061] In this invention, the server includes means with a device for acquiring biological status data, means with a device for analyzing the acquired data and monitoring the health status, and means with a process for collecting and optimizing work progress data. This makes it possible to monitor the health status of craftsmen in real time and provide appropriate work procedures and travel schedules.

[0062] "Biometric data" refers to data collected to indicate the health status of craftsmen, such as their heart rate and body temperature.

[0063] "Means involving a device" refers to the hardware or software structure or means necessary to achieve a specific function.

[0064] A "device for analyzing and monitoring health status" is a device that receives biological data and evaluates that data to constantly monitor the health status of craftsmen.

[0065] "Work progress data" refers to information that shows the progress of the work being performed by a craftsman, and is used to improve work efficiency and plan the next tasks to be performed.

[0066] The "optimization process" is a set of procedures that analyze existing data and provide the best steps and plans to maximize work efficiency.

[0067] An "interface displayed on the administrator's terminal" refers to a technical means or screen that visualizes and displays information so that the administrator can intuitively check the health status and work progress of the craftsmen.

[0068] "The process of generating alerts and sending notifications to administrators" refers to a series of procedures for promptly creating warnings when an anomaly is detected and communicating that information to administrators.

[0069] This invention constructs a system using dedicated hardware and software to optimally manage the health and work efficiency of craftsmen. The terminals used by craftsmen consist of smartphones or dedicated devices, each equipped with vital sensors to measure heart rate and body temperature. The terminals can acquire biometric data when the craftsman starts work and record the progress of the work.

[0070] This data is transmitted from the terminal to the server in real time. The server implements dedicated algorithms and analysis software to analyze the received data, monitoring the health status of the workers based on their biometric data. It can also analyze work progress data to improve work efficiency and optimize movement.

[0071] The administrator, as a user, can monitor the health status of the workers and the progress of their work using an interface that displays information provided by the server in a dashboard format. If an anomaly is detected, the server automatically generates an alert and sends a notification to the administrator.

[0072] As a concrete example, when worker C begins work at a construction site, the terminal continuously acquires heart rate and body temperature data and sends it to the server. The server analyzes this data and continuously confirms that worker C's health status is normal. As work progress data is input, the server generates the optimal plan for the next work process and travel route and notifies the terminal.

[0073] An example of a prompt message is as follows: "Please describe the details of a system that uses smart devices to collect real-time vital data and progress from workers and send it to a server." This system allows administrators to constantly monitor the status of workers and the progress of their work, enabling quick responses.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The terminal uses vital sensors to acquire biometric data such as heart rate and body temperature when a craftsman begins work. This data is input into the terminal's software and processed in real time. Specifically, the terminal reads data from the sensors at regular intervals, converts it to a digital format, and prepares it for the next step.

[0077] Step 2:

[0078] The terminal transmits the acquired biometric data to the server. A communication protocol for data transmission is used to enable the server to receive the data in a predetermined format. Here, the terminal packets the data and sends it to the server via the internet connection.

[0079] Step 3:

[0080] The server analyzes the biometric data received from the terminal. Based on this data, it monitors the health status and checks for any abnormalities. Specifically, an analysis algorithm running within the server validates the biometric data and compares it to set criteria. The results of this analysis are obtained as output.

[0081] Step 4:

[0082] The server analyzes work progress data collected in real time. This work progress data, based on information entered by workers into their terminals, serves as input data for deriving efficient work procedures. The server analyzes the progress data, calculates the optimal work procedures and their priorities, and uses the output for the next step.

[0083] Step 5:

[0084] The server generates an alert and sends a notification to the administrator when it detects an anomaly. The notification system uses email or push notifications to a dedicated app. Specifically, when the server detects data indicating an anomaly, it generates a notification message and sends the data to the administrator's terminal.

[0085] Step 6:

[0086] The administrator, acting as the user, monitors the status and work progress of craftsmen in real time through a dashboard displayed by the server. The user visually checks the information from the dashboard interface and issues instructions to craftsmen as needed. This system allows administrators to optimize the work environment.

[0087] (Application Example 1)

[0088] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] In construction sites, there is a challenge in that the health of workers is not properly managed, making it difficult to prevent overwork and health problems. Furthermore, because work progress is not properly managed in real time, efficiency cannot be achieved, and unnecessary work and movement can occur. To solve these problems, a system is needed that can simultaneously manage both the health of workers and work progress and provide optimal instructions.

[0090] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0091] In this invention, the server includes means for acquiring information on the physical condition of a craftsman, means for analyzing the acquired physical condition information to monitor the health status, means for collecting work progress information, means for monitoring the health status and work progress of the craftsman in real time, and means for providing optimized work instructions to the craftsman. This enables efficient health management of the craftsman and streamlining of work progress.

[0092] A "craftsman" is a worker who performs tasks with specialized skills and techniques in fields such as construction sites and manufacturing.

[0093] "Physical condition information" refers to vital data that indicates health status, such as heart rate and body temperature.

[0094] "Means of monitoring health status" refers to a system that analyzes physical condition information and evaluates the health status of craftsmen in real time.

[0095] "Work progress information" refers to data that shows the progress of work and the details of completed work.

[0096] "Means for optimizing movement plans" refers to methods for planning efficient movement routes and work sequences for workers based on collected work progress information and location information.

[0097] An "administrator terminal" is a device used to monitor and manage the health status and work progress of craftsmen.

[0098] "A means of monitoring in real time" refers to a system that constantly checks the health status and work progress of the craftsmen in the most up-to-date state.

[0099] "Optimized work instructions" are instructions provided to workers based on collected data, enabling them to perform their tasks efficiently.

[0100] To implement this invention, it is necessary to build a system that connects craftsmen, administrators, and a core server. Craftsmen will always carry devices such as smartwatches and smartphones to manage their physical condition and work progress. The smartwatch will continuously measure physical condition information such as heart rate and body temperature, and transmit this data to the smartphone via Bluetooth. The smartphone will then transmit this data to the server.

[0101] The server is built using cloud services (e.g., AWS® or Azure®) and receives and analyzes physical condition and work progress information sent from workers in real time. This server analyzes the received vital data and sends alerts to administrators if any abnormalities are detected. It also optimizes the next work instructions and travel plans based on the collected work progress information. This information is aggregated in the administrator's dashboard tool (e.g., Tableau), designed to allow for a visual overview of the overall situation.

[0102] As a concrete example, when a worker begins work at a construction site, their device sends heart rate and body temperature data to a server. The server analyzes this data and, if it detects an abnormality, issues an alert to the manager. This allows the worker to receive instructions to take a break early. The system also analyzes work progress data to instruct the worker on the next necessary tasks and the optimal route. Managers can grasp the status of all workers at a glance and make appropriate adjustments.

[0103] An example of a prompt using a generative AI model is as follows: "Describe a smartphone application that monitors the health status of workers at a construction site in real time and provides an efficient work plan. Explain what devices and software are used and how the data is processed." This prompt helps to clarify the mechanism and benefits of the invention, making it easier for others to understand.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The device measures the worker's heart rate and body temperature. This measurement data is collected by a smartwatch and transferred to a smartphone via Bluetooth. The input is vital data such as heart rate and body temperature, and the output is data transfer to the smartphone.

[0107] Step 2:

[0108] The smartphone sends the received vital data to the server. Here, the input is vital data from the smartwatch, and the output is the data being uploaded to the cloud server.

[0109] Step 3:

[0110] The server analyzes the received vital data to assess the health status of the workers. Specifically, an algorithm is used to compare the data to reference values ​​and detect abnormal values. The input is vital data sent from a smartphone, and the output is health assessment information based on the analysis results.

[0111] Step 4:

[0112] The server sends an alert to the administrator's terminal if an anomaly is detected. This alert is provided to the administrator as a text message or notification. The input is health assessment information, and the output is the alert notification.

[0113] Step 5:

[0114] The server collects work progress information from workers and optimizes the next work plan based on the analysis. It analyzes work progress data and generates efficient work instructions. The input is work progress data, and the output is optimized work instructions.

[0115] Step 6:

[0116] The administrator terminal displays the health status and work progress of workers, transmitted from the server, on a dashboard. This dashboard provides visual information, allowing administrators to quickly grasp the situation on site. Inputs are health status information and work instructions from the server, and output is a visual dashboard display.

[0117] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0118] This invention is a system that recognizes the physical condition and emotions of craftsmen and provides integrated support for improving work efficiency and managing their health. The system consists of a terminal used by the craftsmen, a server for data processing, a user terminal used by the administrator, and a newly incorporated emotion engine.

[0119] Terminal role

[0120] The terminals used are the craftsman's smartphone or a dedicated device equipped with a heart rate sensor and a temperature sensor. This allows the worker to obtain real-time data on their physical condition, and simultaneously, an emotion engine recognizes the craftsman's emotions through facial recognition technology and voice analysis. The terminal transmits this data to a server.

[0121] Server Role

[0122] The server analyzes physical and emotional data received from the terminal. The server correlates physical and emotional states to monitor the overall health of the worker. Furthermore, using work progress data and the worker's location information, it optimizes emotionally-conscious movement plans and proposes efficient work methods.

[0123] User roles

[0124] Administrators can use an integrated dashboard provided by the server to centrally monitor the physical condition, emotions, and work progress of their workers. Information is also provided to select appropriate interventions if abnormalities or stress levels are detected, enabling administrators to respond quickly and effectively.

[0125] Specific example

[0126] Consider the case where craftsman B is working on-site. The terminal acquires craftsman B's heart rate and body temperature, and the emotion engine analyzes craftsman B's facial expressions to detect signs of stress or discomfort. This data is sent to the server, which, based on the analysis, recognizes craftsman B's health condition and emotional abnormalities and sends a warning to the administrator. Upon receiving this warning, the administrator can issue instructions to reduce the workload on craftsman B, and these instructions are immediately notified to the terminal.

[0127] This system aims to comprehensively manage the physical and emotional state of craftsmen, thereby promoting continuous improvement of the working environment and enhancing workplace safety.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The device acquires real-time information on the craftsman's physical condition, such as heart rate and body temperature, through the craftsman's smartphone. It also uses a built-in camera and microphone to capture the craftsman's facial expressions and voice tone, and transmits this information to the emotion engine.

[0131] Step 2:

[0132] The emotion engine analyzes facial expressions and voice data received from the terminal to estimate the craftsman's emotional state. This emotion estimation result is sent to the server via the terminal.

[0133] Step 3:

[0134] The server analyzes the transmitted physical condition information and emotional data to assess the craftsman's overall health. If the analysis results indicate high stress levels or signs of poor health, the server generates an alert according to pre-set criteria.

[0135] Step 4:

[0136] The server optimizes the workers' movement plans based on work progress and location information. It also takes emotional states into account to calculate the optimal work sequence and placement, generating instructions that prioritize efficiency.

[0137] Step 5:

[0138] The user (administrator) checks the dashboard for warnings and optimization instructions from the server. They consider appropriate countermeasures based on the emotional and health status of the craftsmen and implement repair measures as needed.

[0139] Step 6:

[0140] The terminal displays optimization instructions and administrator instructions received from the server to the craftsman. The craftsman can use this information to adjust their work and proceed in the most optimal way.

[0141] (Example 2)

[0142] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0143] It is necessary to monitor the physical and emotional health of craftsmen in real time while they are working, and to use this information to improve work efficiency and health management. However, conventional technology is limited to monitoring physical condition, making it difficult to dynamically adjust work to appropriately reflect the emotional state of the craftsmen.

[0144] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0145] In this invention, the server includes means for acquiring biometric and emotional information of a craftsman, means for analyzing the acquired biometric and emotional information to monitor their health and emotional state, and means for optimizing the work plan and generating alerts using the collected information. This enables comprehensive management of the craftsman's physical and emotional state, allowing for both improved work efficiency and health management.

[0146] The term "craftsman" refers to a person who possesses specific skills and abilities and performs practical work on-site.

[0147] "Biometric information" refers to data that indicates the physical condition of the craftsman, such as their heart rate and body temperature.

[0148] "Emotional information" refers to data that indicates the psychological state and emotions of a craftsman, analyzed from their facial expressions and voice.

[0149] "Analysis" refers to the process of evaluating acquired data using statistical methods and algorithms to detect abnormalities or changes in the state.

[0150] An "alert" refers to a warning signal that notifies administrators or users when a system detects an anomaly.

[0151] "Optimizing work plans" refers to the process of proposing more efficient and safer work procedures, taking into account the health and emotional state of the workers.

[0152] "Sensors" refer to devices and technologies used to detect the biometric information of craftsmen.

[0153] "Facial recognition" refers to a technology that analyzes the facial features of craftsmen as digital data and obtains emotional information.

[0154] "Voice analysis" refers to a technology that analyzes voice data using the voices of craftsmen to determine their emotions and health status.

[0155] "Feedback" refers to information that is communicated to craftsmen and managers, including analysis results and suggestions from the system.

[0156] This invention is a system that manages the health and emotional state of craftsmen in real time and aims to improve the work environment. The system mainly consists of a craftsman's terminal, a server for data processing, and a user terminal for the administrator. It also integrates an emotion engine used for emotional analysis.

[0157] terminal

[0158] The terminal consists of the craftsman's smartphone or dedicated device, and acquires real-time biometric information using heart rate and temperature sensors. The terminal also acquires the craftsman's emotional information by activating an emotion engine that uses facial recognition technology and voice analysis software. This data is automatically transmitted from the terminal to the server.

[0159] server

[0160] The server stores biometric and emotional information received from terminals in a database and performs advanced analysis. The server utilizes machine learning algorithms and statistical analysis to evaluate the health and emotional states of the workers in conjunction with each other. The data obtained from this analysis is used to generate alerts and optimize work plans. For example, if a worker is experiencing high stress levels, the server uses this information to suggest adjustments to their job duties.

[0161] User

[0162] The administrator, as a user, views reports generated by the server on an integrated dashboard. Administrators can take immediate action if an anomaly is detected. Appropriate feedback and instructions are instantly sent from the administrator's terminal to the technician's terminal.

[0163] Specific example

[0164] As a concrete example, consider a scenario where data is collected indicating that a craftsman is experiencing stress during work. This data is sent to a server, and analysis reveals that the craftsman is under strain. Based on this information, the manager can instruct the craftsman to take breaks or reduce their workload. Such functionality is expected to improve workplace safety and efficiency.

[0165] Example of a prompt

[0166] When you input the question, "How do you manage the health and emotional data of the craftsmen?" into the generating AI model, you get an explanation of how the system monitors the craftsmen's heart rate, body temperature, and emotions, and suggests efficient ways of working.

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

[0168] Step 1:

[0169] The device acquires the craftsman's heart rate and body temperature from sensors. This biometric information is captured as analog signals based on heartbeat and skin temperature and converted into digital data. Simultaneously, it collects the craftsman's emotional information using facial recognition technology and voice analysis. The input to this process is biometric and video data from heart rate sensors and cameras, while the output is real-time biometric and emotional data.

[0170] Step 2:

[0171] Biometric and emotional information transmitted from the terminal is received by the server. The server stores this data in a database and analyzes it using machine learning algorithms and statistical methods. The input for the analysis is the biometric and emotional information from the terminal, and the output is a detailed analysis of the craftsman's health and emotional state. This analysis helps determine if there are any problems with the craftsman and provides necessary insights.

[0172] Step 3:

[0173] Based on the analysis results, the server generates suggestions and alerts tailored to the craftsman's work status. It also performs a process to optimize the work plan. This process combines the analyzed health and emotional data with past work history and patterns from other craftsmen. The input is the analysis results and other relevant data, and the output is an optimized work plan and warning messages.

[0174] Step 4:

[0175] The administrator, acting as the user, reviews the health and emotional state of all workers through an integrated dashboard provided by the server. The administrator then determines appropriate actions and sends feedback and instructions to the terminal. The input for this step is the analysis data and suggestions from the server, while the output is appropriate work instructions and feedback to the workers. This enables a rapid response.

[0176] (Application Example 2)

[0177] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0178] In today's work environment, there is a demand for both the management of workers' physical and mental health and the improvement of work efficiency. However, conventional systems have struggled to comprehensively understand not only the physical condition but also the emotional state of workers and reflect this in work plans and equipment operation. The challenge is to provide an efficient and safe work environment that can respond to workers' stress and emotional fluctuations.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0180] In this invention, the server includes means for acquiring information on the worker's physical condition, means for analyzing acoustic and image data to analyze the worker's emotional state, and means for adjusting the operating settings of equipment to plan safe and efficient operation based on the worker's physical and emotional state. This makes it possible to provide an optimal working environment that takes into account both the worker's health and emotional state.

[0181] 1. "Worker's physical condition information" refers to physiological data such as heart rate and body temperature, and is information used to monitor the health status of workers in real time.

[0182] 2. "Emotional state" refers to the psychological state analyzed from a worker's facial expressions and tone of voice, and is used to identify stress levels and emotional changes.

[0183] 3. "Means for optimizing travel plans" refers to a function that calculates and proposes the most efficient and safest travel route, taking into account the worker's location information and work progress.

[0184] 4. "Means for analyzing acoustic and image data" refers to technologies that use voice analysis and image processing techniques to analyze the emotional state of workers and provide an appropriate work environment.

[0185] 5. "Means for adjusting operating settings" refers to functions that optimally control the operation of equipment based on the worker's health and emotional state, thereby improving safety and efficiency.

[0186] 6. "Means of displaying on administrator terminals" refers to a function that visualizes data analyzed on the server and provides information for administrators to centrally check the status and progress of workers.

[0187] The system that realizes this application example has a mechanism that collects information on the worker's physical condition and emotional state in real time and optimizes the operation of the equipment based on this information. The server collects physiological data such as heart rate and body temperature from smart devices worn by the worker, and further acquires the worker's emotional state by utilizing emotion recognition AI to analyze acoustic and image data. The server comprehensively analyzes this data and evaluates the worker's health and emotional state in real time.

[0188] Based on biometric information and emotional states, the server appropriately adjusts equipment settings to provide a safe and efficient work environment. This makes it possible to increase productivity while protecting the health of workers. Software such as Python and TENSORFLOW® is used for data processing, and a dashboard that can be operated by administrators is built using React and Node.js.

[0189] For example, if there are workers performing tasks in a factory, this system can automatically adjust the operating speed of equipment when it detects an increase in the worker's stress level, thereby ensuring safety. This function reduces the psychological burden on workers and allows them to continue working efficiently.

[0190] An example of a prompt to input into the generated AI model is, "Think of a way to adjust the robot's movements based on the worker's heart rate and facial expressions." This allows the system to adjust the work environment appropriately in real time.

[0191] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0192] Step 1:

[0193] The terminal acquires physiological data such as heart rate and body temperature from the worker's biosensors, and records facial expressions and voice tone from a camera and microphone for emotion recognition. The input is the worker's biometric and emotional data, and the output is the transmission of this data to a server.

[0194] Step 2:

[0195] The server receives biometric and emotional data transmitted from the terminal and analyzes each data set. Specifically, it uses Python and TensorFlow to determine the worker's health status from the physiological data and an AI model to identify the worker's emotional state from the emotional data. The input is the received biometric and emotional data, and the output is the analyzed health status and emotional state.

[0196] Step 3:

[0197] Based on the analysis results, the server calculates the optimal operating settings to ensure worker safety and efficiency. In this step, the operating settings proposed by the generative AI model are applied to specifically adjust the operation of the equipment. The input is the analyzed health and emotional state, and the output is the adjusted equipment operating settings.

[0198] Step 4:

[0199] The user (administrator) can monitor the worker's health status, emotional state, and equipment operating settings through a dashboard. The user can monitor this data in real time and make further adjustments or interventions as needed. Input is integrated data provided by the server, and output is work instructions and readjustments based on the administrator's judgment.

[0200] Step 5:

[0201] The server re-optimizes the equipment's operating settings based on feedback from administrators and new environmental data to continuously improve the health and emotional state of workers. The inputs are administrator feedback and new sensor data, while the output is the improved operating settings.

[0202] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0203] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0204] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0205] [Second Embodiment]

[0206] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0207] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0208] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0209] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0210] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0211] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0212] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0213] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0214] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0215] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0216] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0217] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0218] As an embodiment of the present invention, a system for managing the health and work efficiency of craftsmen is provided. The system consists of a terminal used by the craftsmen, a server for processing data, and a user who manages it.

[0219] Terminal role

[0220] The devices used by the craftsmen are smartphones or dedicated devices equipped with vital signs sensors. These devices allow the craftsmen to obtain real-time information about their physical condition, such as heart rate and body temperature, and input their work progress. The devices then transmit this data to a server.

[0221] Server Role

[0222] The server plays a central role in receiving and analyzing physical condition and work progress information sent from terminals. The server analyzes the physical condition information to monitor health status and sends alerts to administrators as needed. It also optimizes the next tasks and destinations for workers based on the work progress information. In this way, the server streamlines the workers' movements and prevents work delays.

[0223] User roles

[0224] Users primarily act as administrators, managing the health and work of craftsmen based on various information provided by the server. Administrators can monitor the craftsmen's health status and work progress through a dashboard. If an alert occurs, the administrator can issue appropriate instructions to the craftsmen and take measures to improve the working environment.

[0225] Specific example

[0226] For example, when craftsman A begins work on-site, he inputs his heart rate and body temperature using a terminal. This information is sent to a server, which analyzes the data to assess craftsman A's health. If no abnormalities are detected, craftsman A continues to input his work progress. Based on this progress data, the server calculates the next necessary tasks and movements and notifies the terminal of an optimized plan. The user (administrator) can check craftsman A's status and progress through a dashboard and make adjustments to improve overall work efficiency.

[0227] This system manages both the health and efficiency of workers, aiming to improve working conditions at construction sites.

[0228] The following describes the processing flow.

[0229] Step 1:

[0230] The device uses sensors installed in the craftsman's smartphone to acquire physical condition information such as heart rate and body temperature. The acquired data is automatically sent to a server via a dedicated app.

[0231] Step 2:

[0232] The server analyzes the physical condition information received from the terminal and evaluates the worker's health status by comparing it to pre-set health standards. If an abnormality is detected, the server generates an alert and notifies the administrator.

[0233] Step 3:

[0234] The terminal provides an interface that allows craftsmen to input progress information while working. Craftsmen use the app to report the start, completion, and intermediate progress of their work.

[0235] Step 4:

[0236] The server collects input work progress information and worker location information, and uses an AI algorithm based on this data to optimize the travel plan to the next work location.

[0237] Step 5:

[0238] The server notifies the terminal of the optimized work sequence and travel route. This allows the worker to know in real time which work site to go to next and the procedure to follow.

[0239] Step 6:

[0240] The user (administrator) checks information provided by the server through the dashboard and monitors the health status of the workers and the progress of their work. If necessary, the administrator issues instructions to the workers and adjusts their work.

[0241] (Example 1)

[0242] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0243] Simultaneously optimizing the health management and work efficiency of workers is difficult, especially in labor-intensive environments such as construction sites. Current systems often involve checking health information and optimizing work processes individually, which makes it difficult to balance health management and work efficiency. This can increase the health risks for workers and potentially lead to work delays.

[0244] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0245] In this invention, the server includes means with a device for acquiring biological status data, means with a device for analyzing the acquired data and monitoring the health status, and means with a process for collecting and optimizing work progress data. This makes it possible to monitor the health status of craftsmen in real time and provide appropriate work procedures and travel schedules.

[0246] "Biometric data" refers to data collected to indicate the health status of craftsmen, such as their heart rate and body temperature.

[0247] "Means involving a device" refers to the hardware or software structure or means necessary to achieve a specific function.

[0248] A "device for analyzing and monitoring health status" is a device that receives biological data and evaluates that data to constantly monitor the health status of craftsmen.

[0249] "Work progress data" refers to information that shows the progress of the work being performed by a craftsman, and is used to improve work efficiency and plan the next tasks to be performed.

[0250] The "optimization process" is a set of procedures that analyze existing data and provide the best steps and plans to maximize work efficiency.

[0251] An "interface displayed on the administrator's terminal" refers to a technical means or screen that visualizes and displays information so that the administrator can intuitively check the health status and work progress of the craftsmen.

[0252] "The process of generating alerts and sending notifications to administrators" refers to a series of procedures for promptly creating warnings when an anomaly is detected and communicating that information to administrators.

[0253] This invention constructs a system using dedicated hardware and software to optimally manage the health and work efficiency of craftsmen. The terminals used by craftsmen consist of smartphones or dedicated devices, each equipped with vital sensors to measure heart rate and body temperature. The terminals can acquire biometric data when the craftsman starts work and record the progress of the work.

[0254] This data is transmitted from the terminal to the server in real time. The server implements dedicated algorithms and analysis software to analyze the received data, monitoring the health status of the workers based on their biometric data. It can also analyze work progress data to improve work efficiency and optimize movement.

[0255] The administrator, as a user, can monitor the health status of the workers and the progress of their work using an interface that displays information provided by the server in a dashboard format. If an anomaly is detected, the server automatically generates an alert and sends a notification to the administrator.

[0256] As a concrete example, when worker C begins work at a construction site, the terminal continuously acquires heart rate and body temperature data and sends it to the server. The server analyzes this data and continuously confirms that worker C's health status is normal. As work progress data is input, the server generates the optimal plan for the next work process and travel route and notifies the terminal.

[0257] An example of a prompt message is as follows: "Please describe the details of a system that uses smart devices to collect real-time vital data and progress from workers and send it to a server." This system allows administrators to constantly monitor the status of workers and the progress of their work, enabling quick responses.

[0258] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0259] Step 1:

[0260] The terminal uses vital sensors to acquire biometric data such as heart rate and body temperature when a craftsman begins work. This data is input into the terminal's software and processed in real time. Specifically, the terminal reads data from the sensors at regular intervals, converts it to a digital format, and prepares it for the next step.

[0261] Step 2:

[0262] The terminal transmits the acquired biometric data to the server. A communication protocol for data transmission is used to enable the server to receive the data in a predetermined format. Here, the terminal packets the data and sends it to the server via the internet connection.

[0263] Step 3:

[0264] The server analyzes the biometric data received from the terminal. Based on this data, it monitors the health status and checks for any abnormalities. Specifically, an analysis algorithm running within the server validates the biometric data and compares it to set criteria. The results of this analysis are obtained as output.

[0265] Step 4:

[0266] The server analyzes work progress data collected in real time. This work progress data, based on information entered by workers into their terminals, serves as input data for deriving efficient work procedures. The server analyzes the progress data, calculates the optimal work procedures and their priorities, and uses the output for the next step.

[0267] Step 5:

[0268] The server generates an alert and sends a notification to the administrator when it detects an anomaly. The notification system uses email or push notifications to a dedicated app. Specifically, when the server detects data indicating an anomaly, it generates a notification message and sends the data to the administrator's terminal.

[0269] Step 6:

[0270] The administrator, acting as the user, monitors the status and work progress of craftsmen in real time through a dashboard displayed by the server. The user visually checks the information from the dashboard interface and issues instructions to craftsmen as needed. This system allows administrators to optimize the work environment.

[0271] (Application Example 1)

[0272] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0273] In construction sites, there is a challenge in that the health of workers is not properly managed, making it difficult to prevent overwork and health problems. Furthermore, because work progress is not properly managed in real time, efficiency cannot be achieved, and unnecessary work and movement can occur. To solve these problems, a system is needed that can simultaneously manage both the health of workers and work progress and provide optimal instructions.

[0274] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0275] In this invention, the server includes means for acquiring information on the physical condition of a craftsman, means for analyzing the acquired physical condition information to monitor the health status, means for collecting work progress information, means for monitoring the health status and work progress of the craftsman in real time, and means for providing optimized work instructions to the craftsman. This enables efficient health management of the craftsman and streamlining of work progress.

[0276] A "craftsman" is a worker who performs tasks with specialized skills and techniques in fields such as construction sites and manufacturing.

[0277] "Physical condition information" refers to vital data that indicates health status, such as heart rate and body temperature.

[0278] "Means of monitoring health status" refers to a system that analyzes physical condition information and evaluates the health status of craftsmen in real time.

[0279] "Work progress information" refers to data that shows the progress of work and the details of completed work.

[0280] "Means for optimizing movement plans" refers to methods for planning efficient movement routes and work sequences for workers based on collected work progress information and location information.

[0281] An "administrator terminal" is a device used to monitor and manage the health status and work progress of craftsmen.

[0282] The means for real-time monitoring is a mechanism that constantly checks the health status and work progress of craftsmen in an up-to-date manner.

[0283] The "optimized work instruction" refers to an instruction provided based on the collected data so that craftsmen can proceed with their work efficiently.

[0284] To implement this invention, it is necessary to build a system that connects craftsmen, administrators, and a core server. Craftsmen always carry terminals such as smartwatches and smartphones, and use them to manage their physical condition and work progress. The smartwatch continuously measures physical condition information such as heart rate and body temperature, and transmits the data to the smartphone via Bluetooth. The smartphone is responsible for transmitting this data to the server.

[0285] The server is built using cloud services (e.g., AWS or Azure), and receives and analyzes in real time the physical condition information and work progress information transmitted from craftsmen. This server analyzes the received vital data and sends an alert to the administrator if there is an abnormality. Also, based on the collected work progress information, it optimizes the next work instruction and movement plan. These information are aggregated in the administrator's dashboard tool (e.g., Tableau) and are designed to enable visual grasping of the overall situation.

[0286] As a specific example, when a craftsman starts work at a construction site, the terminal transmits heart rate and body temperature data to the server. When the server analyzes this and detects an abnormality, it sends an alert to the administrator. As a result, the craftsman can receive an instruction to take a break early. Also, by analyzing the work progress data, it instructs the next required work and the optimal route. The administrator can grasp the situation of all workers at a glance and make appropriate adjustments.

[0287] An example of a prompt using a generative AI model is as follows: "Describe a smartphone application that monitors the health status of workers at a construction site in real time and provides an efficient work plan. Explain what devices and software are used and how the data is processed." This prompt helps to clarify the mechanism and benefits of the invention, making it easier for others to understand.

[0288] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0289] Step 1:

[0290] The device measures the worker's heart rate and body temperature. This measurement data is collected by a smartwatch and transferred to a smartphone via Bluetooth. The input is vital data such as heart rate and body temperature, and the output is data transfer to the smartphone.

[0291] Step 2:

[0292] The smartphone sends the received vital data to the server. Here, the input is vital data from the smartwatch, and the output is the data being uploaded to the cloud server.

[0293] Step 3:

[0294] The server analyzes the received vital data to assess the health status of the workers. Specifically, an algorithm is used to compare the data to reference values ​​and detect abnormal values. The input is vital data sent from a smartphone, and the output is health assessment information based on the analysis results.

[0295] Step 4:

[0296] The server sends an alert to the administrator's terminal if an anomaly is detected. This alert is provided to the administrator as a text message or notification. The input is health assessment information, and the output is the alert notification.

[0297] Step 5:

[0298] The server collects work progress information from workers and optimizes the next work plan based on the analysis. It analyzes work progress data and generates efficient work instructions. The input is work progress data, and the output is optimized work instructions.

[0299] Step 6:

[0300] The administrator terminal displays the health status and work progress of workers, transmitted from the server, on a dashboard. This dashboard provides visual information, allowing administrators to quickly grasp the situation on site. Inputs are health status information and work instructions from the server, and output is a visual dashboard display.

[0301] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0302] This invention is a system that recognizes the physical condition and emotions of craftsmen and provides integrated support for improving work efficiency and managing their health. The system consists of a terminal used by the craftsmen, a server for data processing, a user terminal used by the administrator, and a newly incorporated emotion engine.

[0303] Terminal role

[0304] As a terminal, a craftsman's smartphone or a dedicated device is used, which is equipped with a heart rate sensor and a temperature sensor. This enables workers to obtain real-time data on their physical condition, and at the same time, there is a mechanism where the emotion engine recognizes the emotions of the craftsman through face recognition technology and voice analysis. The terminal transmits this data to the server.

[0305] Role of the server

[0306] The server analyzes the physical condition information and emotion data received from the terminal. The server correlates the physical condition and the emotional state to monitor the overall health condition of the craftsman. Furthermore, using the work progress data and the position information of the craftsman, it optimizes the movement plan considering emotions and proposes an efficient way of working.

[0307] Role of the user

[0308] The user, who is an administrator, can comprehensively check the physical condition, emotions, and work progress of the craftsman using the integrated dashboard provided by the server. When an abnormality or a stressed state is detected, information for selecting appropriate intervention is also provided, enabling the administrator to respond quickly and appropriately.

[0309] Specific example

[0310] Consider the case where Craftsman B is doing on-site work. The terminal acquires Craftsman B's heart rate and body temperature, and the emotion engine analyzes Craftsman B's expression to detect signs of stress or discomfort. These data are transmitted to the server, and the server recognizes the abnormalities in Craftsman B's health condition and emotions based on the analyzed results and sends a warning to the administrator. Upon receiving this warning, the administrator can issue an instruction to reduce the load on Craftsman B, and that instruction is immediately notified to the terminal.

[0311] This system aims to comprehensively manage the physical and emotional states of craftsmen and enhance the sustainable improvement of the working environment and workplace safety.

[0312] The following describes the processing flow.

[0313] Step 1:

[0314] The device acquires real-time information on the craftsman's physical condition, such as heart rate and body temperature, through the craftsman's smartphone. It also uses a built-in camera and microphone to capture the craftsman's facial expressions and voice tone, and transmits this information to the emotion engine.

[0315] Step 2:

[0316] The emotion engine analyzes facial expressions and voice data received from the terminal to estimate the craftsman's emotional state. This emotion estimation result is sent to the server via the terminal.

[0317] Step 3:

[0318] The server analyzes the transmitted physical condition information and emotional data to assess the craftsman's overall health. If the analysis results indicate high stress levels or signs of poor health, the server generates an alert according to pre-set criteria.

[0319] Step 4:

[0320] The server optimizes the workers' movement plans based on work progress and location information. It also takes emotional states into account to calculate the optimal work sequence and placement, generating instructions that prioritize efficiency.

[0321] Step 5:

[0322] The user (administrator) checks the dashboard for warnings and optimization instructions from the server. They consider appropriate countermeasures based on the emotional and health status of the craftsmen and implement repair measures as needed.

[0323] Step 6:

[0324] The terminal displays optimization instructions and administrator instructions received from the server to the craftsman. The craftsman can use this information to adjust their work and proceed in the most optimal way.

[0325] (Example 2)

[0326] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0327] It is necessary to monitor the physical and emotional health of craftsmen in real time while they are working, and to use this information to improve work efficiency and health management. However, conventional technology is limited to monitoring physical condition, making it difficult to dynamically adjust work to appropriately reflect the emotional state of the craftsmen.

[0328] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0329] In this invention, the server includes means for acquiring biometric and emotional information of a craftsman, means for analyzing the acquired biometric and emotional information to monitor their health and emotional state, and means for optimizing the work plan and generating alerts using the collected information. This enables comprehensive management of the craftsman's physical and emotional state, allowing for both improved work efficiency and health management.

[0330] The term "craftsman" refers to a person who possesses specific skills and abilities and performs practical work on-site.

[0331] "Biometric information" refers to data that indicates the physical condition of the craftsman, such as their heart rate and body temperature.

[0332] "Emotional information" refers to data that indicates the psychological state and emotions of a craftsman, analyzed from their facial expressions and voice.

[0333] "Analysis" refers to the process of evaluating acquired data using statistical methods and algorithms to detect abnormalities or changes in the state.

[0334] An "alert" refers to a warning signal that notifies administrators or users when a system detects an anomaly.

[0335] "Optimizing work plans" refers to the process of proposing more efficient and safer work procedures, taking into account the health and emotional state of the workers.

[0336] "Sensors" refer to devices and technologies used to detect the biometric information of craftsmen.

[0337] "Facial recognition" refers to a technology that analyzes the facial features of craftsmen as digital data and obtains emotional information.

[0338] "Voice analysis" refers to a technology that analyzes voice data using the voices of craftsmen to determine their emotions and health status.

[0339] "Feedback" refers to information that is communicated to craftsmen and managers, including analysis results and suggestions from the system.

[0340] This invention is a system that manages the health and emotional state of craftsmen in real time and aims to improve the work environment. The system mainly consists of a craftsman's terminal, a server for data processing, and a user terminal for the administrator. It also integrates an emotion engine used for emotional analysis.

[0341] terminal

[0342] The terminal consists of the craftsman's smartphone or dedicated device, and acquires real-time biometric information using heart rate and temperature sensors. The terminal also acquires the craftsman's emotional information by activating an emotion engine that uses facial recognition technology and voice analysis software. This data is automatically transmitted from the terminal to the server.

[0343] server

[0344] The server stores biometric and emotional information received from terminals in a database and performs advanced analysis. The server utilizes machine learning algorithms and statistical analysis to evaluate the health and emotional states of the workers in conjunction with each other. The data obtained from this analysis is used to generate alerts and optimize work plans. For example, if a worker is experiencing high stress levels, the server uses this information to suggest adjustments to their job duties.

[0345] User

[0346] The administrator, as a user, views reports generated by the server on an integrated dashboard. Administrators can take immediate action if an anomaly is detected. Appropriate feedback and instructions are instantly sent from the administrator's terminal to the technician's terminal.

[0347] Specific example

[0348] As a concrete example, consider a scenario where data is collected indicating that a craftsman is experiencing stress during work. This data is sent to a server, and analysis reveals that the craftsman is under strain. Based on this information, the manager can instruct the craftsman to take breaks or reduce their workload. Such functionality is expected to improve workplace safety and efficiency.

[0349] Example of a prompt

[0350] When you input the question, "How do you manage the health and emotional data of the craftsmen?" into the generating AI model, you get an explanation of how the system monitors the craftsmen's heart rate, body temperature, and emotions, and suggests efficient ways of working.

[0351] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0352] Step 1:

[0353] The device acquires the craftsman's heart rate and body temperature from sensors. This biometric information is captured as analog signals based on heartbeat and skin temperature and converted into digital data. Simultaneously, it collects the craftsman's emotional information using facial recognition technology and voice analysis. The input to this process is biometric and video data from heart rate sensors and cameras, while the output is real-time biometric and emotional data.

[0354] Step 2:

[0355] Biometric and emotional information transmitted from the terminal is received by the server. The server stores this data in a database and analyzes it using machine learning algorithms and statistical methods. The input for the analysis is the biometric and emotional information from the terminal, and the output is a detailed analysis of the craftsman's health and emotional state. This analysis helps determine if there are any problems with the craftsman and provides necessary insights.

[0356] Step 3:

[0357] Based on the analysis results, the server generates suggestions and alerts tailored to the craftsman's work status. It also performs a process to optimize the work plan. This process combines the analyzed health and emotional data with past work history and patterns from other craftsmen. The input is the analysis results and other relevant data, and the output is an optimized work plan and warning messages.

[0358] Step 4:

[0359] The administrator, acting as the user, reviews the health and emotional state of all workers through an integrated dashboard provided by the server. The administrator then determines appropriate actions and sends feedback and instructions to the terminal. The input for this step is the analysis data and suggestions from the server, while the output is appropriate work instructions and feedback to the workers. This enables a rapid response.

[0360] (Application Example 2)

[0361] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0362] In today's work environment, there is a demand for both the management of workers' physical and mental health and the improvement of work efficiency. However, conventional systems have struggled to comprehensively understand not only the physical condition but also the emotional state of workers and reflect this in work plans and equipment operation. The challenge is to provide an efficient and safe work environment that can respond to workers' stress and emotional fluctuations.

[0363] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0364] In this invention, the server includes means for acquiring information on the worker's physical condition, means for analyzing acoustic and image data to analyze the worker's emotional state, and means for adjusting the operating settings of equipment to plan safe and efficient operation based on the worker's physical and emotional state. This makes it possible to provide an optimal working environment that takes into account both the worker's health and emotional state.

[0365] 1. "Worker's physical condition information" refers to physiological data such as heart rate and body temperature, and is information used to monitor the health status of workers in real time.

[0366] 2. "Emotional state" refers to the psychological state analyzed from a worker's facial expressions and tone of voice, and is used to identify stress levels and emotional changes.

[0367] 3. "Means for optimizing travel plans" refers to a function that calculates and proposes the most efficient and safest travel route, taking into account the worker's location information and work progress.

[0368] 4. "Means for analyzing acoustic and image data" refers to technologies that use voice analysis and image processing techniques to analyze the emotional state of workers and provide an appropriate work environment.

[0369] 5. "Means for adjusting operating settings" refers to functions that optimally control the operation of equipment based on the worker's health and emotional state, thereby improving safety and efficiency.

[0370] 6. "Means of displaying on administrator terminals" refers to a function that visualizes data analyzed on the server and provides information for administrators to centrally check the status and progress of workers.

[0371] The system that realizes this application example has a mechanism that collects information on the worker's physical condition and emotional state in real time and optimizes the operation of the equipment based on this information. The server collects physiological data such as heart rate and body temperature from smart devices worn by the worker, and further acquires the worker's emotional state by utilizing emotion recognition AI to analyze acoustic and image data. The server comprehensively analyzes this data and evaluates the worker's health and emotional state in real time.

[0372] Based on biometric information and emotional states, the server appropriately adjusts equipment settings to provide a safe and efficient work environment. This makes it possible to increase productivity while protecting the health of workers. Software such as Python and TensorFlow are used for data processing, and a dashboard that can be operated by administrators is built using React and Node.js.

[0373] For example, if there are workers performing tasks in a factory, this system can automatically adjust the operating speed of equipment when it detects an increase in the worker's stress level, thereby ensuring safety. This function reduces the psychological burden on workers and allows them to continue working efficiently.

[0374] An example of a prompt to input into the generated AI model is, "Think of a way to adjust the robot's movements based on the worker's heart rate and facial expressions." This allows the system to adjust the work environment appropriately in real time.

[0375] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0376] Step 1:

[0377] The terminal acquires physiological data such as heart rate and body temperature from the worker's biosensors, and records facial expressions and voice tone from a camera and microphone for emotion recognition. The input is the worker's biometric and emotional data, and the output is the transmission of this data to a server.

[0378] Step 2:

[0379] The server receives biometric and emotional data transmitted from the terminal and analyzes each data set. Specifically, it uses Python and TensorFlow to determine the worker's health status from the physiological data and an AI model to identify the worker's emotional state from the emotional data. The input is the received biometric and emotional data, and the output is the analyzed health status and emotional state.

[0380] Step 3:

[0381] Based on the analysis results, the server calculates the optimal operating settings to ensure worker safety and efficiency. In this step, the operating settings proposed by the generative AI model are applied to specifically adjust the operation of the equipment. The input is the analyzed health and emotional state, and the output is the adjusted equipment operating settings.

[0382] Step 4:

[0383] The user (administrator) can monitor the worker's health status, emotional state, and equipment operating settings through a dashboard. The user can monitor this data in real time and make further adjustments or interventions as needed. Input is integrated data provided by the server, and output is work instructions and readjustments based on the administrator's judgment.

[0384] Step 5:

[0385] The server re-optimizes the equipment's operating settings based on feedback from administrators and new environmental data to continuously improve the health and emotional state of workers. The inputs are administrator feedback and new sensor data, while the output is the improved operating settings.

[0386] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0387] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0388] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0389] [Third Embodiment]

[0390] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0391] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0392] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0393] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0394] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0395] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0396] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0397] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0398] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0399] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0400] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0401] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0402] As an embodiment of the present invention, a system for managing the health and work efficiency of craftsmen is provided. The system consists of a terminal used by the craftsmen, a server for processing data, and a user who manages it.

[0403] Terminal role

[0404] The devices used by the craftsmen are smartphones or dedicated devices equipped with vital signs sensors. These devices allow the craftsmen to obtain real-time information about their physical condition, such as heart rate and body temperature, and input their work progress. The devices then transmit this data to a server.

[0405] Server Role

[0406] The server plays a central role in receiving and analyzing physical condition and work progress information sent from terminals. The server analyzes the physical condition information to monitor health status and sends alerts to administrators as needed. It also optimizes the next tasks and destinations for workers based on the work progress information. In this way, the server streamlines the workers' movements and prevents work delays.

[0407] User roles

[0408] Users primarily act as administrators, managing the health and work of craftsmen based on various information provided by the server. Administrators can monitor the craftsmen's health status and work progress through a dashboard. If an alert occurs, the administrator can issue appropriate instructions to the craftsmen and take measures to improve the working environment.

[0409] Specific example

[0410] For example, when craftsman A begins work on-site, he inputs his heart rate and body temperature using a terminal. This information is sent to a server, which analyzes the data to assess craftsman A's health. If no abnormalities are detected, craftsman A continues to input his work progress. Based on this progress data, the server calculates the next necessary tasks and movements and notifies the terminal of an optimized plan. The user (administrator) can check craftsman A's status and progress through a dashboard and make adjustments to improve overall work efficiency.

[0411] This system manages both the health and efficiency of workers, aiming to improve working conditions at construction sites.

[0412] The following describes the processing flow.

[0413] Step 1:

[0414] The device uses sensors installed in the craftsman's smartphone to acquire physical condition information such as heart rate and body temperature. The acquired data is automatically sent to a server via a dedicated app.

[0415] Step 2:

[0416] The server analyzes the physical condition information received from the terminal and evaluates the worker's health status by comparing it to pre-set health standards. If an abnormality is detected, the server generates an alert and notifies the administrator.

[0417] Step 3:

[0418] The terminal provides an interface that allows craftsmen to input progress information while working. Craftsmen use the app to report the start, completion, and intermediate progress of their work.

[0419] Step 4:

[0420] The server collects input work progress information and worker location information, and uses an AI algorithm based on this data to optimize the travel plan to the next work location.

[0421] Step 5:

[0422] The server notifies the terminal of the optimized work sequence and travel route. This allows the worker to know in real time which work site to go to next and the procedure to follow.

[0423] Step 6:

[0424] The user (administrator) checks information provided by the server through the dashboard and monitors the health status of the workers and the progress of their work. If necessary, the administrator issues instructions to the workers and adjusts their work.

[0425] (Example 1)

[0426] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0427] Simultaneously optimizing the health management and work efficiency of workers is difficult, especially in labor-intensive environments such as construction sites. Current systems often involve checking health information and optimizing work processes individually, which makes it difficult to balance health management and work efficiency. This can increase the health risks for workers and potentially lead to work delays.

[0428] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0429] In this invention, the server includes means with a device for acquiring biological status data, means with a device for analyzing the acquired data and monitoring the health status, and means with a process for collecting and optimizing work progress data. This makes it possible to monitor the health status of craftsmen in real time and provide appropriate work procedures and travel schedules.

[0430] "Biometric data" refers to data collected to indicate the health status of craftsmen, such as their heart rate and body temperature.

[0431] "Means involving a device" refers to the hardware or software structure or means necessary to achieve a specific function.

[0432] A "device for analyzing and monitoring health status" is a device that receives biological data and evaluates that data to constantly monitor the health status of craftsmen.

[0433] "Work progress data" refers to information that shows the progress of the work being performed by a craftsman, and is used to improve work efficiency and plan the next tasks to be performed.

[0434] The "optimization process" is a set of procedures that analyze existing data and provide the best steps and plans to maximize work efficiency.

[0435] An "interface displayed on the administrator's terminal" refers to a technical means or screen that visualizes and displays information so that the administrator can intuitively check the health status and work progress of the craftsmen.

[0436] "The process of generating alerts and sending notifications to administrators" refers to a series of procedures for promptly creating warnings when an anomaly is detected and communicating that information to administrators.

[0437] This invention constructs a system using dedicated hardware and software to optimally manage the health and work efficiency of craftsmen. The terminals used by craftsmen consist of smartphones or dedicated devices, each equipped with vital sensors to measure heart rate and body temperature. The terminals can acquire biometric data when the craftsman starts work and record the progress of the work.

[0438] This data is transmitted from the terminal to the server in real time. The server implements dedicated algorithms and analysis software to analyze the received data, monitoring the health status of the workers based on their biometric data. It can also analyze work progress data to improve work efficiency and optimize movement.

[0439] The administrator, as a user, can monitor the health status of the workers and the progress of their work using an interface that displays information provided by the server in a dashboard format. If an anomaly is detected, the server automatically generates an alert and sends a notification to the administrator.

[0440] As a concrete example, when worker C begins work at a construction site, the terminal continuously acquires heart rate and body temperature data and sends it to the server. The server analyzes this data and continuously confirms that worker C's health status is normal. As work progress data is input, the server generates the optimal plan for the next work process and travel route and notifies the terminal.

[0441] An example of a prompt message is as follows: "Please describe the details of a system that uses smart devices to collect real-time vital data and progress from workers and send it to a server." This system allows administrators to constantly monitor the status of workers and the progress of their work, enabling quick responses.

[0442] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0443] Step 1:

[0444] The terminal uses vital sensors to acquire biometric data such as heart rate and body temperature when a craftsman begins work. This data is input into the terminal's software and processed in real time. Specifically, the terminal reads data from the sensors at regular intervals, converts it to a digital format, and prepares it for the next step.

[0445] Step 2:

[0446] The terminal transmits the acquired biometric data to the server. A communication protocol for data transmission is used to enable the server to receive the data in a predetermined format. Here, the terminal packets the data and sends it to the server via the internet connection.

[0447] Step 3:

[0448] The server analyzes the biometric data received from the terminal. Based on this data, it monitors the health status and checks for any abnormalities. Specifically, an analysis algorithm running within the server validates the biometric data and compares it to set criteria. The results of this analysis are obtained as output.

[0449] Step 4:

[0450] The server analyzes work progress data collected in real time. This work progress data, based on information entered by workers into their terminals, serves as input data for deriving efficient work procedures. The server analyzes the progress data, calculates the optimal work procedures and their priorities, and uses the output for the next step.

[0451] Step 5:

[0452] The server generates an alert and sends a notification to the administrator when it detects an anomaly. The notification system uses email or push notifications to a dedicated app. Specifically, when the server detects data indicating an anomaly, it generates a notification message and sends the data to the administrator's terminal.

[0453] Step 6:

[0454] The administrator, acting as the user, monitors the status and work progress of craftsmen in real time through a dashboard displayed by the server. The user visually checks the information from the dashboard interface and issues instructions to craftsmen as needed. This system allows administrators to optimize the work environment.

[0455] (Application Example 1)

[0456] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0457] In construction sites, there is a challenge in that the health of workers is not properly managed, making it difficult to prevent overwork and health problems. Furthermore, because work progress is not properly managed in real time, efficiency cannot be achieved, and unnecessary work and movement can occur. To solve these problems, a system is needed that can simultaneously manage both the health of workers and work progress and provide optimal instructions.

[0458] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0459] In this invention, the server includes means for acquiring information on the physical condition of a craftsman, means for analyzing the acquired physical condition information to monitor the health status, means for collecting work progress information, means for monitoring the health status and work progress of the craftsman in real time, and means for providing optimized work instructions to the craftsman. This enables efficient health management of the craftsman and streamlining of work progress.

[0460] A "craftsman" is a worker who performs tasks with specialized skills and techniques in fields such as construction sites and manufacturing.

[0461] "Physical condition information" refers to vital data that indicates health status, such as heart rate and body temperature.

[0462] "Means of monitoring health status" refers to a system that analyzes physical condition information and evaluates the health status of craftsmen in real time.

[0463] "Work progress information" refers to data that shows the progress of work and the details of completed work.

[0464] "Means for optimizing movement plans" refers to methods for planning efficient movement routes and work sequences for workers based on collected work progress information and location information.

[0465] An "administrator terminal" is a device used to monitor and manage the health status and work progress of craftsmen.

[0466] "A means of monitoring in real time" refers to a system that constantly checks the health status and work progress of the craftsmen in the most up-to-date state.

[0467] "Optimized work instructions" are instructions provided to workers based on collected data, enabling them to perform their tasks efficiently.

[0468] To implement this invention, it is necessary to build a system that connects craftsmen, administrators, and a core server. Craftsmen will always carry devices such as smartwatches and smartphones to manage their physical condition and work progress. The smartwatch will continuously measure physical condition information such as heart rate and body temperature, and transmit this data to the smartphone via Bluetooth. The smartphone will then transmit this data to the server.

[0469] The server is built using cloud services (e.g., AWS or Azure) and receives and analyzes physical condition and work progress information sent from workers in real time. This server analyzes the received vital data and sends alerts to administrators if any abnormalities are detected. It also optimizes the next work instructions and travel plans based on the collected work progress information. This information is aggregated in the administrator's dashboard tool (e.g., Tableau), designed to allow for a visual overview of the overall situation.

[0470] As a concrete example, when a worker begins work at a construction site, their device sends heart rate and body temperature data to a server. The server analyzes this data and, if it detects an abnormality, issues an alert to the manager. This allows the worker to receive instructions to take a break early. The system also analyzes work progress data to instruct the worker on the next necessary tasks and the optimal route. Managers can grasp the status of all workers at a glance and make appropriate adjustments.

[0471] An example of a prompt using a generative AI model is as follows: "Describe a smartphone application that monitors the health status of workers at a construction site in real time and provides an efficient work plan. Explain what devices and software are used and how the data is processed." This prompt helps to clarify the mechanism and benefits of the invention, making it easier for others to understand.

[0472] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0473] Step 1:

[0474] The device measures the worker's heart rate and body temperature. This measurement data is collected by a smartwatch and transferred to a smartphone via Bluetooth. The input is vital data such as heart rate and body temperature, and the output is data transfer to the smartphone.

[0475] Step 2:

[0476] The smartphone sends the received vital data to the server. Here, the input is vital data from the smartwatch, and the output is the data being uploaded to the cloud server.

[0477] Step 3:

[0478] The server analyzes the received vital data to assess the health status of the workers. Specifically, an algorithm is used to compare the data to reference values ​​and detect abnormal values. The input is vital data sent from a smartphone, and the output is health assessment information based on the analysis results.

[0479] Step 4:

[0480] The server sends an alert to the administrator's terminal if an anomaly is detected. This alert is provided to the administrator as a text message or notification. The input is health assessment information, and the output is the alert notification.

[0481] Step 5:

[0482] The server collects work progress information from workers and optimizes the next work plan based on the analysis. It analyzes work progress data and generates efficient work instructions. The input is work progress data, and the output is optimized work instructions.

[0483] Step 6:

[0484] The administrator terminal displays the health status and work progress of workers, transmitted from the server, on a dashboard. This dashboard provides visual information, allowing administrators to quickly grasp the situation on site. Inputs are health status information and work instructions from the server, and output is a visual dashboard display.

[0485] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0486] This invention is a system that recognizes the physical condition and emotions of craftsmen and provides integrated support for improving work efficiency and managing their health. The system consists of a terminal used by the craftsmen, a server for data processing, a user terminal used by the administrator, and a newly incorporated emotion engine.

[0487] Terminal role

[0488] The terminals used are the craftsman's smartphone or a dedicated device equipped with a heart rate sensor and a temperature sensor. This allows the worker to obtain real-time data on their physical condition, and simultaneously, an emotion engine recognizes the craftsman's emotions through facial recognition technology and voice analysis. The terminal transmits this data to a server.

[0489] Server Role

[0490] The server analyzes physical and emotional data received from the terminal. The server correlates physical and emotional states to monitor the overall health of the worker. Furthermore, using work progress data and the worker's location information, it optimizes emotionally-conscious movement plans and proposes efficient work methods.

[0491] User roles

[0492] Administrators can use an integrated dashboard provided by the server to centrally monitor the physical condition, emotions, and work progress of their workers. Information is also provided to select appropriate interventions if abnormalities or stress levels are detected, enabling administrators to respond quickly and effectively.

[0493] Specific example

[0494] Consider the case where craftsman B is working on-site. The terminal acquires craftsman B's heart rate and body temperature, and the emotion engine analyzes craftsman B's facial expressions to detect signs of stress or discomfort. This data is sent to the server, which, based on the analysis, recognizes craftsman B's health condition and emotional abnormalities and sends a warning to the administrator. Upon receiving this warning, the administrator can issue instructions to reduce the workload on craftsman B, and these instructions are immediately notified to the terminal.

[0495] This system aims to comprehensively manage the physical and emotional state of craftsmen, thereby promoting continuous improvement of the working environment and enhancing workplace safety.

[0496] The following describes the processing flow.

[0497] Step 1:

[0498] The device acquires real-time information on the craftsman's physical condition, such as heart rate and body temperature, through the craftsman's smartphone. It also uses a built-in camera and microphone to capture the craftsman's facial expressions and voice tone, and transmits this information to the emotion engine.

[0499] Step 2:

[0500] The emotion engine analyzes facial expressions and voice data received from the terminal to estimate the craftsman's emotional state. This emotion estimation result is sent to the server via the terminal.

[0501] Step 3:

[0502] The server analyzes the transmitted physical condition information and emotional data to assess the craftsman's overall health. If the analysis results indicate high stress levels or signs of poor health, the server generates an alert according to pre-set criteria.

[0503] Step 4:

[0504] The server optimizes the workers' movement plans based on work progress and location information. It also takes emotional states into account to calculate the optimal work sequence and placement, generating instructions that prioritize efficiency.

[0505] Step 5:

[0506] The user (administrator) checks the dashboard for warnings and optimization instructions from the server. They consider appropriate countermeasures based on the emotional and health status of the craftsmen and implement repair measures as needed.

[0507] Step 6:

[0508] The terminal displays optimization instructions and administrator instructions received from the server to the craftsman. The craftsman can use this information to adjust their work and proceed in the most optimal way.

[0509] (Example 2)

[0510] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0511] It is necessary to monitor the physical and emotional health of craftsmen in real time while they are working, and to use this information to improve work efficiency and health management. However, conventional technology is limited to monitoring physical condition, making it difficult to dynamically adjust work to appropriately reflect the emotional state of the craftsmen.

[0512] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0513] In this invention, the server includes means for acquiring biometric and emotional information of a craftsman, means for analyzing the acquired biometric and emotional information to monitor their health and emotional state, and means for optimizing the work plan and generating alerts using the collected information. This enables comprehensive management of the craftsman's physical and emotional state, allowing for both improved work efficiency and health management.

[0514] The term "craftsman" refers to a person who possesses specific skills and abilities and performs practical work on-site.

[0515] "Biometric information" refers to data that indicates the physical condition of the craftsman, such as their heart rate and body temperature.

[0516] "Emotional information" refers to data that indicates the psychological state and emotions of a craftsman, analyzed from their facial expressions and voice.

[0517] "Analysis" refers to the process of evaluating acquired data using statistical methods and algorithms to detect abnormalities or changes in the state.

[0518] An "alert" refers to a warning signal that notifies administrators or users when a system detects an anomaly.

[0519] "Optimizing work plans" refers to the process of proposing more efficient and safer work procedures, taking into account the health and emotional state of the workers.

[0520] "Sensors" refer to devices and technologies used to detect the biometric information of craftsmen.

[0521] "Facial recognition" refers to a technology that analyzes the facial features of craftsmen as digital data and obtains emotional information.

[0522] "Voice analysis" refers to a technology that analyzes voice data using the voices of craftsmen to determine their emotions and health status.

[0523] "Feedback" refers to information that is communicated to craftsmen and managers, including analysis results and suggestions from the system.

[0524] This invention is a system that manages the health and emotional state of craftsmen in real time and aims to improve the work environment. The system mainly consists of a craftsman's terminal, a server for data processing, and a user terminal for the administrator. It also integrates an emotion engine used for emotional analysis.

[0525] terminal

[0526] The terminal consists of the craftsman's smartphone or dedicated device, and acquires real-time biometric information using heart rate and temperature sensors. The terminal also acquires the craftsman's emotional information by activating an emotion engine that uses facial recognition technology and voice analysis software. This data is automatically transmitted from the terminal to the server.

[0527] server

[0528] The server stores biometric and emotional information received from terminals in a database and performs advanced analysis. The server utilizes machine learning algorithms and statistical analysis to evaluate the health and emotional states of the workers in conjunction with each other. The data obtained from this analysis is used to generate alerts and optimize work plans. For example, if a worker is experiencing high stress levels, the server uses this information to suggest adjustments to their job duties.

[0529] User

[0530] The administrator, as a user, views reports generated by the server on an integrated dashboard. Administrators can take immediate action if an anomaly is detected. Appropriate feedback and instructions are instantly sent from the administrator's terminal to the technician's terminal.

[0531] Specific example

[0532] As a concrete example, consider a scenario where data is collected indicating that a craftsman is experiencing stress during work. This data is sent to a server, and analysis reveals that the craftsman is under strain. Based on this information, the manager can instruct the craftsman to take breaks or reduce their workload. Such functionality is expected to improve workplace safety and efficiency.

[0533] Example of a prompt

[0534] When you input the question, "How do you manage the health and emotional data of the craftsmen?" into the generating AI model, you get an explanation of how the system monitors the craftsmen's heart rate, body temperature, and emotions, and suggests efficient ways of working.

[0535] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0536] Step 1:

[0537] The device acquires the craftsman's heart rate and body temperature from sensors. This biometric information is captured as analog signals based on heartbeat and skin temperature and converted into digital data. Simultaneously, it collects the craftsman's emotional information using facial recognition technology and voice analysis. The input to this process is biometric and video data from heart rate sensors and cameras, while the output is real-time biometric and emotional data.

[0538] Step 2:

[0539] Biometric and emotional information transmitted from the terminal is received by the server. The server stores this data in a database and analyzes it using machine learning algorithms and statistical methods. The input for the analysis is the biometric and emotional information from the terminal, and the output is a detailed analysis of the craftsman's health and emotional state. This analysis helps determine if there are any problems with the craftsman and provides necessary insights.

[0540] Step 3:

[0541] Based on the analysis results, the server generates suggestions and alerts tailored to the craftsman's work status. It also performs a process to optimize the work plan. This process combines the analyzed health and emotional data with past work history and patterns from other craftsmen. The input is the analysis results and other relevant data, and the output is an optimized work plan and warning messages.

[0542] Step 4:

[0543] The administrator, acting as the user, reviews the health and emotional state of all workers through an integrated dashboard provided by the server. The administrator then determines appropriate actions and sends feedback and instructions to the terminal. The input for this step is the analysis data and suggestions from the server, while the output is appropriate work instructions and feedback to the workers. This enables a rapid response.

[0544] (Application Example 2)

[0545] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0546] In today's work environment, there is a demand for both the management of workers' physical and mental health and the improvement of work efficiency. However, conventional systems have struggled to comprehensively understand not only the physical condition but also the emotional state of workers and reflect this in work plans and equipment operation. The challenge is to provide an efficient and safe work environment that can respond to workers' stress and emotional fluctuations.

[0547] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0548] In this invention, the server includes means for acquiring information on the worker's physical condition, means for analyzing acoustic and image data to analyze the worker's emotional state, and means for adjusting the operating settings of equipment to plan safe and efficient operation based on the worker's physical and emotional state. This makes it possible to provide an optimal working environment that takes into account both the worker's health and emotional state.

[0549] 1. "Worker's physical condition information" refers to physiological data such as heart rate and body temperature, and is information used to monitor the health status of workers in real time.

[0550] 2. "Emotional state" refers to the psychological state analyzed from a worker's facial expressions and tone of voice, and is used to identify stress levels and emotional changes.

[0551] 3. "Means for optimizing travel plans" refers to a function that calculates and proposes the most efficient and safest travel route, taking into account the worker's location information and work progress.

[0552] 4. "Means for analyzing acoustic and image data" refers to technologies that use voice analysis and image processing techniques to analyze the emotional state of workers and provide an appropriate work environment.

[0553] 5. "Means for adjusting operating settings" refers to functions that optimally control the operation of equipment based on the worker's health and emotional state, thereby improving safety and efficiency.

[0554] 6. "Means of displaying on administrator terminals" refers to a function that visualizes data analyzed on the server and provides information for administrators to centrally check the status and progress of workers.

[0555] The system that realizes this application example has a mechanism that collects information on the worker's physical condition and emotional state in real time and optimizes the operation of the equipment based on this information. The server collects physiological data such as heart rate and body temperature from smart devices worn by the worker, and further acquires the worker's emotional state by utilizing emotion recognition AI to analyze acoustic and image data. The server comprehensively analyzes this data and evaluates the worker's health and emotional state in real time.

[0556] Based on biometric information and emotional states, the server appropriately adjusts equipment settings to provide a safe and efficient work environment. This makes it possible to increase productivity while protecting the health of workers. Software such as Python and TensorFlow are used for data processing, and a dashboard that can be operated by administrators is built using React and Node.js.

[0557] For example, if there are workers performing tasks in a factory, this system can automatically adjust the operating speed of equipment when it detects an increase in the worker's stress level, thereby ensuring safety. This function reduces the psychological burden on workers and allows them to continue working efficiently.

[0558] An example of a prompt to input into the generated AI model is, "Think of a way to adjust the robot's movements based on the worker's heart rate and facial expressions." This allows the system to adjust the work environment appropriately in real time.

[0559] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0560] Step 1:

[0561] The terminal acquires physiological data such as heart rate and body temperature from the worker's biosensors, and records facial expressions and voice tone from a camera and microphone for emotion recognition. The input is the worker's biometric and emotional data, and the output is the transmission of this data to a server.

[0562] Step 2:

[0563] The server receives biometric and emotional data transmitted from the terminal and analyzes each data set. Specifically, it uses Python and TensorFlow to determine the worker's health status from the physiological data and an AI model to identify the worker's emotional state from the emotional data. The input is the received biometric and emotional data, and the output is the analyzed health status and emotional state.

[0564] Step 3:

[0565] Based on the analysis results, the server calculates the optimal operating settings to ensure worker safety and efficiency. In this step, the operating settings proposed by the generative AI model are applied to specifically adjust the operation of the equipment. The input is the analyzed health and emotional state, and the output is the adjusted equipment operating settings.

[0566] Step 4:

[0567] The user (administrator) can monitor the worker's health status, emotional state, and equipment operating settings through a dashboard. The user can monitor this data in real time and make further adjustments or interventions as needed. Input is integrated data provided by the server, and output is work instructions and readjustments based on the administrator's judgment.

[0568] Step 5:

[0569] The server re-optimizes the equipment's operating settings based on feedback from administrators and new environmental data to continuously improve the health and emotional state of workers. The inputs are administrator feedback and new sensor data, while the output is the improved operating settings.

[0570] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0571] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0572] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0573] [Fourth Embodiment]

[0574] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0575] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0576] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0577] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0578] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0579] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0580] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0581] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0582] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0583] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0584] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0585] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0586] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0587] As an embodiment of the present invention, a system for managing the health and work efficiency of craftsmen is provided. The system consists of a terminal used by the craftsmen, a server for processing data, and a user who manages it.

[0588] Terminal role

[0589] The devices used by the craftsmen are smartphones or dedicated devices equipped with vital signs sensors. These devices allow the craftsmen to obtain real-time information about their physical condition, such as heart rate and body temperature, and input their work progress. The devices then transmit this data to a server.

[0590] Server Role

[0591] The server plays a central role in receiving and analyzing physical condition and work progress information sent from terminals. The server analyzes the physical condition information to monitor health status and sends alerts to administrators as needed. It also optimizes the next tasks and destinations for workers based on the work progress information. In this way, the server streamlines the workers' movements and prevents work delays.

[0592] User roles

[0593] Users primarily act as administrators, managing the health and work of craftsmen based on various information provided by the server. Administrators can monitor the craftsmen's health status and work progress through a dashboard. If an alert occurs, the administrator can issue appropriate instructions to the craftsmen and take measures to improve the working environment.

[0594] Specific example

[0595] For example, when craftsman A begins work on-site, he inputs his heart rate and body temperature using a terminal. This information is sent to a server, which analyzes the data to assess craftsman A's health. If no abnormalities are detected, craftsman A continues to input his work progress. Based on this progress data, the server calculates the next necessary tasks and movements and notifies the terminal of an optimized plan. The user (administrator) can check craftsman A's status and progress through a dashboard and make adjustments to improve overall work efficiency.

[0596] This system manages both the health and efficiency of workers, aiming to improve working conditions at construction sites.

[0597] The following describes the processing flow.

[0598] Step 1:

[0599] The device uses sensors installed in the craftsman's smartphone to acquire physical condition information such as heart rate and body temperature. The acquired data is automatically sent to a server via a dedicated app.

[0600] Step 2:

[0601] The server analyzes the physical condition information received from the terminal and evaluates the worker's health status by comparing it to pre-set health standards. If an abnormality is detected, the server generates an alert and notifies the administrator.

[0602] Step 3:

[0603] The terminal provides an interface that allows craftsmen to input progress information while working. Craftsmen use the app to report the start, completion, and intermediate progress of their work.

[0604] Step 4:

[0605] The server collects input work progress information and worker location information, and uses an AI algorithm based on this data to optimize the travel plan to the next work location.

[0606] Step 5:

[0607] The server notifies the terminal of the optimized work sequence and travel route. This allows the worker to know in real time which work site to go to next and the procedure to follow.

[0608] Step 6:

[0609] The user (administrator) checks information provided by the server through the dashboard and monitors the health status of the workers and the progress of their work. If necessary, the administrator issues instructions to the workers and adjusts their work.

[0610] (Example 1)

[0611] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0612] Simultaneously optimizing the health management and work efficiency of workers is difficult, especially in labor-intensive environments such as construction sites. Current systems often involve checking health information and optimizing work processes individually, which makes it difficult to balance health management and work efficiency. This can increase the health risks for workers and potentially lead to work delays.

[0613] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0614] In this invention, the server includes means with a device for acquiring biological status data, means with a device for analyzing the acquired data and monitoring the health status, and means with a process for collecting and optimizing work progress data. This makes it possible to monitor the health status of craftsmen in real time and provide appropriate work procedures and travel schedules.

[0615] "Biometric data" refers to data collected to indicate the health status of craftsmen, such as their heart rate and body temperature.

[0616] "Means involving a device" refers to the hardware or software structure or means necessary to achieve a specific function.

[0617] A "device for analyzing and monitoring health status" is a device that receives biological data and evaluates that data to constantly monitor the health status of craftsmen.

[0618] "Work progress data" refers to information that shows the progress of the work being performed by a craftsman, and is used to improve work efficiency and plan the next tasks to be performed.

[0619] The "optimization process" is a set of procedures that analyze existing data and provide the best steps and plans to maximize work efficiency.

[0620] An "interface displayed on the administrator's terminal" refers to a technical means or screen that visualizes and displays information so that the administrator can intuitively check the health status and work progress of the craftsmen.

[0621] "The process of generating alerts and sending notifications to administrators" refers to a series of procedures for promptly creating warnings when an anomaly is detected and communicating that information to administrators.

[0622] This invention constructs a system using dedicated hardware and software to optimally manage the health and work efficiency of craftsmen. The terminals used by craftsmen consist of smartphones or dedicated devices, each equipped with vital sensors to measure heart rate and body temperature. The terminals can acquire biometric data when the craftsman starts work and record the progress of the work.

[0623] This data is transmitted from the terminal to the server in real time. The server implements dedicated algorithms and analysis software to analyze the received data, monitoring the health status of the workers based on their biometric data. It can also analyze work progress data to improve work efficiency and optimize movement.

[0624] The administrator, as a user, can monitor the health status of the workers and the progress of their work using an interface that displays information provided by the server in a dashboard format. If an anomaly is detected, the server automatically generates an alert and sends a notification to the administrator.

[0625] As a concrete example, when worker C begins work at a construction site, the terminal continuously acquires heart rate and body temperature data and sends it to the server. The server analyzes this data and continuously confirms that worker C's health status is normal. As work progress data is input, the server generates the optimal plan for the next work process and travel route and notifies the terminal.

[0626] An example of a prompt message is as follows: "Please describe the details of a system that uses smart devices to collect real-time vital data and progress from workers and send it to a server." This system allows administrators to constantly monitor the status of workers and the progress of their work, enabling quick responses.

[0627] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0628] Step 1:

[0629] The terminal uses vital sensors to acquire biometric data such as heart rate and body temperature when a craftsman begins work. This data is input into the terminal's software and processed in real time. Specifically, the terminal reads data from the sensors at regular intervals, converts it to a digital format, and prepares it for the next step.

[0630] Step 2:

[0631] The terminal transmits the acquired biometric data to the server. A communication protocol for data transmission is used to enable the server to receive the data in a predetermined format. Here, the terminal packets the data and sends it to the server via the internet connection.

[0632] Step 3:

[0633] The server analyzes the biometric data received from the terminal. Based on this data, it monitors the health status and checks for any abnormalities. Specifically, an analysis algorithm running within the server validates the biometric data and compares it to set criteria. The results of this analysis are obtained as output.

[0634] Step 4:

[0635] The server analyzes work progress data collected in real time. This work progress data, based on information entered by workers into their terminals, serves as input data for deriving efficient work procedures. The server analyzes the progress data, calculates the optimal work procedures and their priorities, and uses the output for the next step.

[0636] Step 5:

[0637] The server generates an alert and sends a notification to the administrator when it detects an anomaly. The notification system uses email or push notifications to a dedicated app. Specifically, when the server detects data indicating an anomaly, it generates a notification message and sends the data to the administrator's terminal.

[0638] Step 6:

[0639] The administrator, acting as the user, monitors the status and work progress of craftsmen in real time through a dashboard displayed by the server. The user visually checks the information from the dashboard interface and issues instructions to craftsmen as needed. This system allows administrators to optimize the work environment.

[0640] (Application Example 1)

[0641] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0642] In construction sites, there is a challenge in that the health of workers is not properly managed, making it difficult to prevent overwork and health problems. Furthermore, because work progress is not properly managed in real time, efficiency cannot be achieved, and unnecessary work and movement can occur. To solve these problems, a system is needed that can simultaneously manage both the health of workers and work progress and provide optimal instructions.

[0643] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0644] In this invention, the server includes means for acquiring information on the physical condition of a craftsman, means for analyzing the acquired physical condition information to monitor the health status, means for collecting work progress information, means for monitoring the health status and work progress of the craftsman in real time, and means for providing optimized work instructions to the craftsman. This enables efficient health management of the craftsman and streamlining of work progress.

[0645] A "craftsman" is a worker who performs tasks with specialized skills and techniques in fields such as construction sites and manufacturing.

[0646] "Physical condition information" refers to vital data that indicates health status, such as heart rate and body temperature.

[0647] "Means of monitoring health status" refers to a system that analyzes physical condition information and evaluates the health status of craftsmen in real time.

[0648] "Work progress information" refers to data that shows the progress of work and the details of completed work.

[0649] "Means for optimizing movement plans" refers to methods for planning efficient movement routes and work sequences for workers based on collected work progress information and location information.

[0650] An "administrator terminal" is a device used to monitor and manage the health status and work progress of craftsmen.

[0651] "A means of monitoring in real time" refers to a system that constantly checks the health status and work progress of the craftsmen in the most up-to-date state.

[0652] "Optimized work instructions" are instructions provided to workers based on collected data, enabling them to perform their tasks efficiently.

[0653] To implement this invention, it is necessary to build a system that connects craftsmen, administrators, and a core server. Craftsmen will always carry devices such as smartwatches and smartphones to manage their physical condition and work progress. The smartwatch will continuously measure physical condition information such as heart rate and body temperature, and transmit this data to the smartphone via Bluetooth. The smartphone will then transmit this data to the server.

[0654] The server is built using cloud services (e.g., AWS or Azure) and receives and analyzes physical condition and work progress information sent from workers in real time. This server analyzes the received vital data and sends alerts to administrators if any abnormalities are detected. It also optimizes the next work instructions and travel plans based on the collected work progress information. This information is aggregated in the administrator's dashboard tool (e.g., Tableau), designed to allow for a visual overview of the overall situation.

[0655] As a concrete example, when a worker begins work at a construction site, their device sends heart rate and body temperature data to a server. The server analyzes this data and, if it detects an abnormality, issues an alert to the manager. This allows the worker to receive instructions to take a break early. The system also analyzes work progress data to instruct the worker on the next necessary tasks and the optimal route. Managers can grasp the status of all workers at a glance and make appropriate adjustments.

[0656] An example of a prompt using a generative AI model is as follows: "Describe a smartphone application that monitors the health status of workers at a construction site in real time and provides an efficient work plan. Explain what devices and software are used and how the data is processed." This prompt helps to clarify the mechanism and benefits of the invention, making it easier for others to understand.

[0657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0658] Step 1:

[0659] The device measures the worker's heart rate and body temperature. This measurement data is collected by a smartwatch and transferred to a smartphone via Bluetooth. The input is vital data such as heart rate and body temperature, and the output is data transfer to the smartphone.

[0660] Step 2:

[0661] The smartphone sends the received vital data to the server. Here, the input is vital data from the smartwatch, and the output is the data being uploaded to the cloud server.

[0662] Step 3:

[0663] The server analyzes the received vital data to assess the health status of the workers. Specifically, an algorithm is used to compare the data to reference values ​​and detect abnormal values. The input is vital data sent from a smartphone, and the output is health assessment information based on the analysis results.

[0664] Step 4:

[0665] The server sends an alert to the administrator's terminal if an anomaly is detected. This alert is provided to the administrator as a text message or notification. The input is health assessment information, and the output is the alert notification.

[0666] Step 5:

[0667] The server collects work progress information from workers and optimizes the next work plan based on the analysis. It analyzes work progress data and generates efficient work instructions. The input is work progress data, and the output is optimized work instructions.

[0668] Step 6:

[0669] The administrator terminal displays the health status and work progress of workers, transmitted from the server, on a dashboard. This dashboard provides visual information, allowing administrators to quickly grasp the situation on site. Inputs are health status information and work instructions from the server, and output is a visual dashboard display.

[0670] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0671] This invention is a system that recognizes the physical condition and emotions of craftsmen and provides integrated support for improving work efficiency and managing their health. The system consists of a terminal used by the craftsmen, a server for data processing, a user terminal used by the administrator, and a newly incorporated emotion engine.

[0672] Terminal role

[0673] The terminals used are the craftsman's smartphone or a dedicated device equipped with a heart rate sensor and a temperature sensor. This allows the worker to obtain real-time data on their physical condition, and simultaneously, an emotion engine recognizes the craftsman's emotions through facial recognition technology and voice analysis. The terminal transmits this data to a server.

[0674] Server Role

[0675] The server analyzes physical and emotional data received from the terminal. The server correlates physical and emotional states to monitor the overall health of the worker. Furthermore, using work progress data and the worker's location information, it optimizes emotionally-conscious movement plans and proposes efficient work methods.

[0676] User roles

[0677] Administrators can use an integrated dashboard provided by the server to centrally monitor the physical condition, emotions, and work progress of their workers. Information is also provided to select appropriate interventions if abnormalities or stress levels are detected, enabling administrators to respond quickly and effectively.

[0678] Specific example

[0679] Consider the case where craftsman B is working on-site. The terminal acquires craftsman B's heart rate and body temperature, and the emotion engine analyzes craftsman B's facial expressions to detect signs of stress or discomfort. This data is sent to the server, which, based on the analysis, recognizes craftsman B's health condition and emotional abnormalities and sends a warning to the administrator. Upon receiving this warning, the administrator can issue instructions to reduce the workload on craftsman B, and these instructions are immediately notified to the terminal.

[0680] This system aims to comprehensively manage the physical and emotional state of craftsmen, thereby promoting continuous improvement of the working environment and enhancing workplace safety.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] The device acquires real-time information on the craftsman's physical condition, such as heart rate and body temperature, through the craftsman's smartphone. It also uses a built-in camera and microphone to capture the craftsman's facial expressions and voice tone, and transmits this information to the emotion engine.

[0684] Step 2:

[0685] The emotion engine analyzes facial expressions and voice data received from the terminal to estimate the craftsman's emotional state. This emotion estimation result is sent to the server via the terminal.

[0686] Step 3:

[0687] The server analyzes the transmitted physical condition information and emotional data to assess the craftsman's overall health. If the analysis results indicate high stress levels or signs of poor health, the server generates an alert according to pre-set criteria.

[0688] Step 4:

[0689] The server optimizes the workers' movement plans based on work progress and location information. It also takes emotional states into account to calculate the optimal work sequence and placement, generating instructions that prioritize efficiency.

[0690] Step 5:

[0691] The user (administrator) checks the dashboard for warnings and optimization instructions from the server. They consider appropriate countermeasures based on the emotional and health status of the craftsmen and implement repair measures as needed.

[0692] Step 6:

[0693] The terminal displays optimization instructions and administrator instructions received from the server to the craftsman. The craftsman can use this information to adjust their work and proceed in the most optimal way.

[0694] (Example 2)

[0695] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0696] It is necessary to monitor the physical and emotional health of craftsmen in real time while they are working, and to use this information to improve work efficiency and health management. However, conventional technology is limited to monitoring physical condition, making it difficult to dynamically adjust work to appropriately reflect the emotional state of the craftsmen.

[0697] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0698] In this invention, the server includes means for acquiring biometric and emotional information of a craftsman, means for analyzing the acquired biometric and emotional information to monitor their health and emotional state, and means for optimizing the work plan and generating alerts using the collected information. This enables comprehensive management of the craftsman's physical and emotional state, allowing for both improved work efficiency and health management.

[0699] The term "craftsman" refers to a person who possesses specific skills and abilities and performs practical work on-site.

[0700] "Biometric information" refers to data that indicates the physical condition of the craftsman, such as their heart rate and body temperature.

[0701] "Emotional information" refers to data that indicates the psychological state and emotions of a craftsman, analyzed from their facial expressions and voice.

[0702] "Analysis" refers to the process of evaluating acquired data using statistical methods and algorithms to detect abnormalities or changes in the state.

[0703] An "alert" refers to a warning signal that notifies administrators or users when a system detects an anomaly.

[0704] "Optimizing work plans" refers to the process of proposing more efficient and safer work procedures, taking into account the health and emotional state of the workers.

[0705] "Sensors" refer to devices and technologies used to detect the biometric information of craftsmen.

[0706] "Facial recognition" refers to a technology that analyzes the facial features of craftsmen as digital data and obtains emotional information.

[0707] "Voice analysis" refers to a technology that analyzes voice data using the voices of craftsmen to determine their emotions and health status.

[0708] "Feedback" refers to information that is communicated to craftsmen and managers, including analysis results and suggestions from the system.

[0709] This invention is a system that manages the health and emotional state of craftsmen in real time and aims to improve the work environment. The system mainly consists of a craftsman's terminal, a server for data processing, and a user terminal for the administrator. It also integrates an emotion engine used for emotional analysis.

[0710] terminal

[0711] The terminal consists of the craftsman's smartphone or dedicated device, and acquires real-time biometric information using heart rate and temperature sensors. The terminal also acquires the craftsman's emotional information by activating an emotion engine that uses facial recognition technology and voice analysis software. This data is automatically transmitted from the terminal to the server.

[0712] server

[0713] The server stores biometric and emotional information received from terminals in a database and performs advanced analysis. The server utilizes machine learning algorithms and statistical analysis to evaluate the health and emotional states of the workers in conjunction with each other. The data obtained from this analysis is used to generate alerts and optimize work plans. For example, if a worker is experiencing high stress levels, the server uses this information to suggest adjustments to their job duties.

[0714] User

[0715] The administrator, as a user, views reports generated by the server on an integrated dashboard. Administrators can take immediate action if an anomaly is detected. Appropriate feedback and instructions are instantly sent from the administrator's terminal to the technician's terminal.

[0716] Specific example

[0717] As a concrete example, consider a scenario where data is collected indicating that a craftsman is experiencing stress during work. This data is sent to a server, and analysis reveals that the craftsman is under strain. Based on this information, the manager can instruct the craftsman to take breaks or reduce their workload. Such functionality is expected to improve workplace safety and efficiency.

[0718] Example of a prompt

[0719] When you input the question, "How do you manage the health and emotional data of the craftsmen?" into the generating AI model, you get an explanation of how the system monitors the craftsmen's heart rate, body temperature, and emotions, and suggests efficient ways of working.

[0720] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0721] Step 1:

[0722] The device acquires the craftsman's heart rate and body temperature from sensors. This biometric information is captured as analog signals based on heartbeat and skin temperature and converted into digital data. Simultaneously, it collects the craftsman's emotional information using facial recognition technology and voice analysis. The input to this process is biometric and video data from heart rate sensors and cameras, while the output is real-time biometric and emotional data.

[0723] Step 2:

[0724] Biometric and emotional information transmitted from the terminal is received by the server. The server stores this data in a database and analyzes it using machine learning algorithms and statistical methods. The input for the analysis is the biometric and emotional information from the terminal, and the output is a detailed analysis of the craftsman's health and emotional state. This analysis helps determine if there are any problems with the craftsman and provides necessary insights.

[0725] Step 3:

[0726] Based on the analysis results, the server generates suggestions and alerts tailored to the craftsman's work status. It also performs a process to optimize the work plan. This process combines the analyzed health and emotional data with past work history and patterns from other craftsmen. The input is the analysis results and other relevant data, and the output is an optimized work plan and warning messages.

[0727] Step 4:

[0728] The administrator, acting as the user, reviews the health and emotional state of all workers through an integrated dashboard provided by the server. The administrator then determines appropriate actions and sends feedback and instructions to the terminal. The input for this step is the analysis data and suggestions from the server, while the output is appropriate work instructions and feedback to the workers. This enables a rapid response.

[0729] (Application Example 2)

[0730] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0731] In today's work environment, there is a demand for both the management of workers' physical and mental health and the improvement of work efficiency. However, conventional systems have struggled to comprehensively understand not only the physical condition but also the emotional state of workers and reflect this in work plans and equipment operation. The challenge is to provide an efficient and safe work environment that can respond to workers' stress and emotional fluctuations.

[0732] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0733] In this invention, the server includes means for acquiring information on the worker's physical condition, means for analyzing acoustic and image data to analyze the worker's emotional state, and means for adjusting the operating settings of equipment to plan safe and efficient operation based on the worker's physical and emotional state. This makes it possible to provide an optimal working environment that takes into account both the worker's health and emotional state.

[0734] 1. "Worker's physical condition information" refers to physiological data such as heart rate and body temperature, and is information used to monitor the health status of workers in real time.

[0735] 2. "Emotional state" refers to the psychological state analyzed from a worker's facial expressions and tone of voice, and is used to identify stress levels and emotional changes.

[0736] 3. "Means for optimizing travel plans" refers to a function that calculates and proposes the most efficient and safest travel route, taking into account the worker's location information and work progress.

[0737] 4. "Means for analyzing acoustic and image data" refers to technologies that use voice analysis and image processing techniques to analyze the emotional state of workers and provide an appropriate work environment.

[0738] 5. "Means for adjusting operating settings" refers to functions that optimally control the operation of equipment based on the worker's health and emotional state, thereby improving safety and efficiency.

[0739] 6. "Means of displaying on administrator terminals" refers to a function that visualizes data analyzed on the server and provides information for administrators to centrally check the status and progress of workers.

[0740] The system that realizes this application example has a mechanism that collects information on the worker's physical condition and emotional state in real time and optimizes the operation of the equipment based on this information. The server collects physiological data such as heart rate and body temperature from smart devices worn by the worker, and further acquires the worker's emotional state by utilizing emotion recognition AI to analyze acoustic and image data. The server comprehensively analyzes this data and evaluates the worker's health and emotional state in real time.

[0741] Based on biometric information and emotional states, the server appropriately adjusts equipment settings to provide a safe and efficient work environment. This makes it possible to increase productivity while protecting the health of workers. Software such as Python and TensorFlow are used for data processing, and a dashboard that can be operated by administrators is built using React and Node.js.

[0742] For example, if there are workers performing tasks in a factory, this system can automatically adjust the operating speed of equipment when it detects an increase in the worker's stress level, thereby ensuring safety. This function reduces the psychological burden on workers and allows them to continue working efficiently.

[0743] An example of a prompt to input into the generated AI model is, "Think of a way to adjust the robot's movements based on the worker's heart rate and facial expressions." This allows the system to adjust the work environment appropriately in real time.

[0744] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0745] Step 1:

[0746] The terminal acquires physiological data such as heart rate and body temperature from the worker's biosensors, and records facial expressions and voice tone from a camera and microphone for emotion recognition. The input is the worker's biometric and emotional data, and the output is the transmission of this data to a server.

[0747] Step 2:

[0748] The server receives biometric and emotional data transmitted from the terminal and analyzes each data set. Specifically, it uses Python and TensorFlow to determine the worker's health status from the physiological data and an AI model to identify the worker's emotional state from the emotional data. The input is the received biometric and emotional data, and the output is the analyzed health status and emotional state.

[0749] Step 3:

[0750] Based on the analysis results, the server calculates the optimal operating settings to ensure worker safety and efficiency. In this step, the operating settings proposed by the generative AI model are applied to specifically adjust the operation of the equipment. The input is the analyzed health and emotional state, and the output is the adjusted equipment operating settings.

[0751] Step 4:

[0752] The user (administrator) can monitor the worker's health status, emotional state, and equipment operating settings through a dashboard. The user can monitor this data in real time and make further adjustments or interventions as needed. Input is integrated data provided by the server, and output is work instructions and readjustments based on the administrator's judgment.

[0753] Step 5:

[0754] The server re-optimizes the equipment's operating settings based on feedback from administrators and new environmental data to continuously improve the health and emotional state of workers. The inputs are administrator feedback and new sensor data, while the output is the improved operating settings.

[0755] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0756] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0757] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0758] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0759] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0760] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0761] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0762] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0763] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0764] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0765] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0766] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0767] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0768] 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.

[0769] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0770] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0771] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0772] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0773] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0774] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0775] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0776] The following is further disclosed regarding the embodiments described above.

[0777] (Claim 1)

[0778] A means of acquiring information about the physical condition of a craftsman,

[0779] A means of monitoring health status by analyzing acquired physical condition information,

[0780] Means for collecting work progress information,

[0781] A means to optimize the movement plan based on collected work progress information and worker location information,

[0782] A means of displaying the above information on the administrator's terminal,

[0783] A system that includes this.

[0784] (Claim 2)

[0785] The system according to claim 1, which acquires vital data from a sensor and uses it to evaluate the health indicators of a craftsman.

[0786] (Claim 3)

[0787] The system according to claim 1, which analyzes collected work progress information in real time and optimizes the allocation of workers and work order based on this information.

[0788] "Example 1"

[0789] (Claim 1)

[0790] A means involving a device for acquiring biological data of craftsmen,

[0791] A means that includes a device for analyzing acquired biological data and monitoring health status,

[0792] A means that includes a function for collecting work progress data,

[0793] A means to optimize movement plans and improve work flows based on collected work progress data and worker location data,

[0794] A means that includes an interface for displaying the above data on the administrator terminal,

[0795] A means of generating an alert and sending a notification to the administrator,

[0796] A system that includes this.

[0797] (Claim 2)

[0798] The system according to claim 1, which uses sensors to acquire biometric data, analyzes this data to evaluate the health indicators of craftsmen, and detects abnormalities.

[0799] (Claim 3)

[0800] The system according to claim 1, which analyzes collected work progress data in real time and dynamically optimizes the allocation of workers and work procedures based on this analysis.

[0801] "Application Example 1"

[0802] (Claim 1)

[0803] A means of acquiring information about the physical condition of a craftsman,

[0804] A means of monitoring health status by analyzing acquired physical condition information,

[0805] Means for collecting work progress information,

[0806] A means to optimize the movement plan based on collected work progress information and worker location information,

[0807] A means of displaying the above information on the administrator's terminal,

[0808] A means of monitoring the health status and work progress of craftsmen in real time,

[0809] A means of providing optimized work instructions to craftsmen,

[0810] A system that includes this.

[0811] (Claim 2)

[0812] The system according to claim 1, which acquires vital data from a sensor and uses it to evaluate the health indicators of a craftsman.

[0813] (Claim 3)

[0814] The system according to claim 1, which analyzes collected work progress information in real time and optimizes the allocation of workers and work order based on this information.

[0815] "Example 2 of combining an emotion engine"

[0816] (Claim 1)

[0817] A means of acquiring the biometric and emotional information of craftsmen,

[0818] A means of monitoring health and emotional status by analyzing acquired biometric and emotional information,

[0819] Means for collecting work progress information and location information,

[0820] A means to optimize work plans and generate alerts using collected information,

[0821] A means of displaying the analysis results on the administrator's terminal and sending instructions according to the situation,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, which evaluates the health and emotional indicators of a craftsman using sensor data, facial recognition, and voice analysis technology.

[0825] (Claim 3)

[0826] The system according to claim 1, which analyzes collected biometric and emotional information in real time, optimizes the work environment of craftsmen based on this analysis, and transmits appropriate feedback.

[0827] "Application example 2 when combining with an emotional engine"

[0828] (Claim 1)

[0829] A means of acquiring information on the physical condition of workers,

[0830] A means of monitoring health status by analyzing acquired physical condition information,

[0831] Means for collecting work progress information,

[0832] A means for optimizing the movement plan based on collected work progress information and worker location information,

[0833] To analyze the emotional state of workers, methods for analyzing acoustic and image data are used,

[0834] A means for adjusting the operating settings of equipment in order to plan safe and efficient operation based on the physical condition information and emotional state of the worker,

[0835] A means of displaying the above information on the administrator's terminal,

[0836] A system that includes this.

[0837] (Claim 2)

[0838] The system according to claim 1, which acquires biometric data from a sensor and uses it to evaluate the health indicators and emotional indicators of a worker.

[0839] (Claim 3)

[0840] The system according to claim 1, which analyzes collected work progress information in real time, optimizes worker placement and work sequence based on this information, and further adjusts the operation of equipment while taking into account emotional states. [Explanation of Symbols]

[0841] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of acquiring information about the physical condition of a craftsman, A means of monitoring health status by analyzing acquired physical condition information, Means for collecting work progress information, A means to optimize the movement plan based on collected work progress information and worker location information, A means of displaying the above information on the administrator's terminal, A system that includes this.

2. The system according to claim 1, which acquires vital data from a sensor and uses it to evaluate the health indicators of a craftsman.

3. The system according to claim 1, which analyzes collected work progress information in real time and optimizes the allocation of workers and the order of work based on this analysis.

Images