Driving aptitude assessment device and driving aptitude assessment method

Abstract

To provide a driving aptitude evaluation device and driving aptitude evaluation method that can more appropriately evaluate the driving aptitude of a driver.SOLUTION: A driving aptitude evaluation system comprises one or more user terminals and one or more wearable terminals, each connecting to a management server via a network. A management server 101, which is a kind of a driving aptitude evaluation device, causes a processor 203 to execute: a health information acquisition module 212 that acquires health information about the health of a user; an exercise information acquisition module 214 that acquires exercise characteristics information about exercise characteristics of the user; and a driving aptitude information output module 215 that, when the exercise characteristics information has been acquired, outputs driving aptitude information indicating the level of aptitude of the user for driving on the basis of the health information and the exercise characteristics information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a driving aptitude assessment device and a driving aptitude assessment method. [Background technology]

[0002] JP 2019-061498 A (Patent Document 1) is a background technology in this technical field. This publication states that "the vehicle control system includes a communication unit 25 that is communicatively connected to an on-board device 1 that acquires alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5, and acquires the alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5 from the on-board device 1 via a communication network N, and a control unit 21 that uses the alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5 acquired by the communication unit 25 to determine whether predetermined roll call items and inspection items are met" (see Abstract). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-061498 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology of Patent Document 1 uses driver condition information and vehicle condition information to determine whether predetermined roll call items and inspection items have been met. The driver condition information disclosed includes alcohol information related to alcohol concentration and body temperature information related to body temperature. However, the driver condition information in Patent Document 1 is not sufficient for evaluating driving aptitude. Therefore, the present invention provides a mechanism that can more appropriately evaluate the driving aptitude of a driver. [Means for solving the problem]

[0005] In order to solve the above problems, for example, the configurations described in the claims are adopted. The present application includes multiple means for solving the above-mentioned problems, and one example is a driving aptitude evaluation device that includes a health information acquisition unit that acquires health information related to the user's health, a motor information acquisition unit that acquires motor characteristic information related to the user's motor characteristics, and a driving aptitude information output unit that, when the motor characteristic information is acquired, outputs driving aptitude information that indicates the user's suitability for driving based on the health information and the motor characteristic information. [Effects of the Invention]

[0006] According to the present invention, it is possible to provide a mechanism that can more appropriately evaluate the driving aptitude of a driver. Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is an example of an overall configuration diagram of a driving aptitude evaluation system 1 according to an embodiment. [Figure 2] FIG. 2 shows an example of the hardware configuration of the management server 101. [Figure 3] FIG. 3 shows an example of the hardware configuration of the user terminal 102. [Figure 4] FIG. 4 shows an example of the hardware configuration of the wearable terminal 103. [Figure 5] FIG. 5 is an example of user information 500. [Figure 6] FIG. 6 is an example of health information 600. [Figure 7] FIG. 7 shows an example of a driving aptitude evaluation flow 700. [Figure 8] FIG. 8 is an example of a health information acquisition flow 800. [Figure 9] FIG. 9 shows an example of a content output screen 900 for a health interview. [Figure 10] FIG. 10 shows another example of the health inquiry content output screen 1000. In FIG. [Figure 11] FIG. 11 shows an example of a biometric information acquisition screen 1100. [Figure 12] FIG. 12 shows another example of the biometric information acquisition screen 1200. [Figure 13] FIG. 13 is an example of the QOL score evaluation table 1300. [Figure 14] FIG. 14 is an example of a stress reduction information output screen 1400. [Figure 15] FIG. 15 shows another example of the stress reduction information output screen 1500. [Figure 16] FIG. 16 shows an example of a content output screen 1600 for motion characteristic evaluation. [Figure 17] FIG. 17 is an example of a driving aptitude evaluation table 1700. [Figure 18] FIG. 18 shows an example of a driving aptitude information output screen 1800. [Figure 19] FIG. 19 shows another example of the driving aptitude information output screen 1900. [Figure 20] FIG. 20 is an example of a registration completion screen 2000. DETAILED DESCRIPTION OF THE INVENTION

[0008] [Driving Aptitude Assessment System] FIG. 1 is an example of an overall configuration diagram of a driving aptitude assessment system 1. The driving aptitude assessment system 1 according to the present technology can be used to easily and accurately assess the driving aptitude of drivers who drive vehicles on a daily basis, such as long-distance drivers, delivery people, bus drivers, and taxi drivers. For example, the driving aptitude of a driver can be assessed every day, such as after waking up and before driving a vehicle. However, the driving aptitude assessment is not limited to vehicle drivers; it can also be applied to assessing the driving aptitude of drivers of other moving objects (such as other vehicles, ships, and aircraft, as well as water, land, and air vehicles, manual drones, etc.) that require instantaneous operational decisions, and to assessing the operating aptitude of operators of various equipment, etc.

[0009] The driving aptitude evaluation system 1 in this embodiment includes one or more user terminals 102 and one or more wearable terminals 103, each of which can be connected to a management server 101 via a network. The network may be wired or wireless, and each terminal can send and receive information via the network. The user terminal 102 may be provided separately from the management server 101, or may be provided integrally with the management server 101.

[0010] Each terminal (including the management server 101; the same applies hereinafter) of the driving aptitude evaluation system 1 may be, for example, a portable terminal (mobile terminal) such as a smartphone, tablet, mobile phone, or personal digital assistant (PDA), or may be a wearable terminal such as glasses (goggles), a wristwatch, or clothing. Each terminal may also be a stationary or portable computer, or a server located on the cloud or a network. From the standpoint of functionality, each terminal may be a VR (Virtual Reality) terminal, an AR (Augmented Reality) terminal, or an MR (Mixed Reality) terminal. Alternatively, each terminal may be a combination of multiple of these terminals. For example, a combination of one smartphone and one wearable terminal may logically function as a single terminal. Each terminal may also be an information processing terminal other than these.

[0011] Each terminal and management server 101 of the driving aptitude evaluation system 1 may optionally include a processor that executes an operating system, applications, programs, etc., a main storage device such as RAM (Random Access Memory), an auxiliary storage device such as an IC card, hard disk drive, SSD (Solid State Drive), or flash memory, a communication control unit such as a network card, wireless communication module, or mobile communication module, input devices such as a touch panel, keyboard, mouse, voice input device, motion controller, or input device that detects motion by capturing images from a camera unit, input devices such as sensors such as GPS, gyro sensors, and acceleration sensors, and output devices such as a monitor, display, printer, audio output device, oscillator, etc. The output device may also be a device or terminal that transmits information to be output to an external monitor, display, printer, or device.

[0012] The main memory stores various programs and applications (software modules), and the processor executes these programs and applications to realize each functional element of the overall system. Each module may be implemented as an independent program or application, or as a subprogram or function within a single integrated program or application. Each module may also be implemented as hardware (hardware modules) by integrating circuits or using a microcomputer. Each module may reside on a single terminal (including a management server) or may be distributed across two or more terminals (including a management server) interconnected via a network. Each module may reside on each or more of two or more terminals (including a management server) interconnected via a network.

[0013] In this specification, each module is described as a subject that performs processing, but in reality, the processing is carried out by a processor that processes various programs, applications, etc. (modules).

[0014] The auxiliary storage device stores various databases (DB). A "database" is a set of data that has been organized and collected so that it can accommodate any data manipulation (e.g., extraction, addition, deletion, overwriting, etc.) from a processor or an external computer. The auxiliary storage device is a functional element (storage unit) that stores one or more sets of data. There are no limitations on how the database is implemented; for example, it may be a database management system, spreadsheet software, or a text file such as XML or JSON.

[0015] FIG. 2 shows an example of the hardware configuration of the management server 101. The management server 101 is an element that manages the driving aptitude evaluation system 1 of the present embodiment, and is an example of a driving aptitude evaluation device in the present technology. The management server 101 is configured by, for example, a computer or a server on the cloud. The management server 101 may be installed either domestically or overseas. The management server 101 is managed and operated by, for example, a service provider of the driving aptitude evaluation system 1 according to the present technology.

[0016] The management server 101 includes a main memory device 201 and an auxiliary memory device 202. The management server 101 also includes a processor 203, an input device 204, an output device 205 (which may be an example of an output means), and a communication control unit 206, as described above.

[0017] The main memory device 201 stores programs and applications such as a user terminal management module 211, a health information acquisition module 212, a stress reduction module 213, an exercise information acquisition module 214, and a driving aptitude information output module 215, and the processor 203 executes these programs and applications to realize each functional element of the management server 101.

[0018] The user terminal management module 211 manages the operation and connection of the user terminal 102. For example, the user terminal management module 211 cooperates with the user management module 311 of the user terminal 102 and controls the basic operation for realizing the functions of the driving aptitude evaluation system 1 in the user terminal 102.

[0019] The health information acquisition module 212 acquires health information related to the user's health. Here, health includes, for example, at least one of physical health and mental (psychological) health, preferably both. However, because physical health and mental health are closely related, they may not always be completely distinguishable. Health information represents the quality of such health, and the present technology uses this health information as an index for evaluating whether the user is in a suitable state for driving. Health information can typically be expressed, for example, by quantifying the quality of health based on an arbitrary index, or by categorizing the health into multiple stages between a relatively good level and a relatively poor level. Such health information can be acquired based on information that can represent the quality of health, such as biological information such as body temperature, blood pressure, pulse wave information, heart rate, blood sugar level, and electrocardiogram information (ECG information); lifestyle information such as bedtime, wake-up time, and sleep duration; and activity information such as the number of steps taken per day and calories burned.

[0020] There are no particular limitations on the method by which health information acquisition module 212 acquires health information. For example, health information acquisition module 212 can acquire health information by working in conjunction with user-side health information acquisition module 312 of user terminal 102 and receiving the user's health information acquired by user terminal 102. Alternatively, health information acquisition module 212 may output a signal to user terminal 102 requesting health information, and acquire the user's health information in response.

[0021] Furthermore, health information acquisition module 212 can output health interview content 220, for example, and acquire health information based on a response to this health interview content 220. Health interview content 220 is content that allows a user to self-report predetermined health information, etc., used to evaluate driving aptitude. Specifically, health information acquisition module 212 cooperates with user-side health information acquisition module 312 of user terminal 102 and outputs the health interview content to user terminal 102. A response from the user to the health interview content is then received by user terminal 102, and management server 101 receives the response from the user, thereby acquiring the response from the user. Details of how health information is acquired by health information acquisition module 212 will be described in the following embodiment.

[0022] The health information may be acquired based on, for example, any one of the above health information, or on two or more of them. Acquiring health information based on two or more of them allows for a more appropriate evaluation of driving aptitude from various perspectives. The health information acquisition module 212 may be configured to acquire comprehensive health information based on two or more types of health information. While not limited thereto, the comprehensive health information may be, for example, a QOL score, which quantifies the QOL (Quality of Life) that represents the overall quality of a person's life and living conditions, including multiple factors such as physical, psychological, and social aspects. The QOL score may be calculated based on various QOL assessment methods.

[0023] The stress reduction module 213 outputs stress reduction information that reduces the user's stress. The stress reduction module 213 typically outputs the stress reduction information before the exercise information acquisition module 214 (described later) outputs the exercise characteristic evaluation content. However, the stress reduction module 213 may output the stress reduction information at any timing (e.g., after an exercise characteristic evaluation, after a driving aptitude evaluation, etc.). The stress reduction information may be information in a form that affects human perception, such as text information, still image information, video information, sound information, vibration information, or temperature (hot / cold sensation) information. Specific examples of the stress reduction information may include exercise videos of moderate exercise, videos that relieve mental stress (e.g., videos of small animals), music with a relaxation and / or energy effect, light emission, still images, videos, vibrations, signals that cause an oscillator to vibrate with a relaxing or massaging effect, etc. The stress reduction module 213 may be configured to output stress reduction information that is tailored to the type and level of stress (stress) that is deteriorating the user's health level, for example, based on health information.

[0024] The motion information acquisition module 214 acquires motion characteristic information, which is information related to the motion characteristics of the user. From the viewpoint of evaluating driving aptitude, the motion characteristic information is, for example, information related to a predetermined motion performed by the user in response to (reaction to) some information, and this motion may be a voluntary motion or an involuntary motion. Specifically, the motion information acquisition module 214 can acquire motion information such as the time (reaction time) required for the user to perform a predetermined action after receiving predetermined or optional information (e.g., a stimulus, typically visual information).

[0025] The method for acquiring the motion characteristic information is not particularly limited, and the motion information acquisition module 214 may be configured, for example, to output motion characteristic evaluation content to the user terminal 102 and acquire the user's motion characteristic information in response. Alternatively, the motion information acquisition module 214 may be configured, for example, to output a signal requesting motion characteristic information to the user terminal 102 and acquire the user's motion characteristic information prepared in advance in the user terminal 102 from the user terminal 102 in response. The method for acquiring motion information by the motion information acquisition module 214 will be described in detail in the embodiment described later.

[0026] The driving aptitude information output module 215 outputs driving aptitude information indicating the user's aptitude for driving. For example, when the exercise information acquisition module 214 acquires exercise characteristic information, the driving aptitude information output module 215 outputs the driving aptitude information based on the health information and the exercise characteristic information.

[0027] The auxiliary storage device 202 stores user information 500, health information 600, driving aptitude information 210, health questionnaire content 220, stress reduction content 230, and exercise characteristic evaluation content 240. These pieces of information will be described later.

[0028] FIG. 3 shows an example of the hardware configuration of the user terminal 102. The user terminal 102 is a terminal used by a user who uses the driving aptitude evaluation system 1 of this embodiment. The user terminal 102 may be, for example, a smartphone, a tablet terminal, or the like. The user terminal 102 in this embodiment is a smartphone. The user terminal 102 includes a main memory device 301 and an auxiliary memory device 302. The user terminal 102 also includes the processor 303, input device 304, output device 305, camera 306, and communication control unit 307 as described above.

[0029] The main memory device 301 stores programs and applications such as a user management module 311, a user health information acquisition module 312, a user stress reduction module 313, a user exercise information acquisition module 314, and a user driving aptitude information output module 315, and the processor 303 executes these programs and applications to realize each functional element of the user terminal 102.

[0030] The user management module 311 controls the basic operations of the user terminal 102. For example, the user management module 311 cooperates with the user terminal management module 211 of the management server 101 to control the basic operations for realizing the driving aptitude evaluation system 1.

[0031] The user-side health information acquisition module 312 acquires health information related to the user's health. For example, the user-side health information acquisition module 312 cooperates with the health information acquisition module 212 of the management server 101 to output (display) the health inquiry content 220 for acquiring health information on the display (an example of the output device 305) of the user terminal 102, and accepts input from the user to the health inquiry content 220 to acquire the input information from the user as inquiry information. The user-side health information acquisition module 312 records the acquired health information in the auxiliary storage device 302.

[0032] Furthermore, the user-side health information acquisition module 312 cooperates with the wearable device 103 via the wearable device management module 316 (described later), for example, to acquire health information acquired by the wearable device 103. The user-side health information acquisition module 312 cooperates with the health information acquisition module 212 of the management server 101 to transmit the acquired health information to the management server 101.

[0033] The user-side stress reduction module 313 outputs (displays) stress reduction information that has the effect of reducing the user's stress. For example, the user-side stress reduction module 313 works in conjunction with the stress reduction module 213 of the management server 101 to access pre-prepared stress reduction information and display the stress reduction information on the display of the user terminal 102.

[0034] The user-side motion information acquisition module 314 acquires motion characteristic information, which is information related to the motion characteristics of the user. For example, the user-side motion information acquisition module 314 cooperates with the motion information acquisition module 214 of the management server 101 to access pre-prepared motion characteristic evaluation content and output the motion characteristic evaluation content to the display of the user terminal 102. The user-side motion information acquisition module 314 also accepts input from the user as a response to the motion characteristic evaluation content and transmits the input to the management server 101.

[0035] The user-side driving aptitude information output module 315 outputs (displays) the user's driving aptitude information to the user terminal 102. For example, the user-side driving aptitude information output module 315 cooperates with the driving aptitude information output module 215 of the management server 101 to acquire the user's driving aptitude information from the management server 101 and display the driving aptitude information on the display of the user terminal 102.

[0036] The wearable terminal management module 316 cooperates with the wearable terminal management module 411 of the wearable terminal 103 to control the basic operation of the wearable terminal 103. The wearable terminal management module 316 may also be configured to acquire biometric information by analyzing the biometric information (typically, detected information of vital signs) acquired from the wearable terminal 103. The wearable terminal management module 316 may be a functional element realized by, for example, executing a program provided by the manufacturer or seller of the wearable terminal 103 as an application for operating the wearable terminal 103.

[0037] The user terminal 102 may be provided with a sensor function capable of detecting biological information, as an example of the input device 304. Such a sensor function may be realized by providing a biological sensor (e.g., a photoelectric volume pulse wave monitor) configured to detect biological information, or may be a vital sensor function that combines a light-emitting function (e.g., a lighting function or a flash function for capturing images) and an image capturing function (e.g., the camera 306) that are provided as standard in the user terminal 102. When the user terminal 102 is provided with such a sensor function, the user-side health information acquisition module 312 may be configured to acquire health information by analyzing sensor data obtained using the sensor function instead of or in addition to the wearable device management module 316.

[0038] The auxiliary storage device 302 stores user information 500, health information 600, driving aptitude information 310, health interview information 320, stress reduction information 330, and exercise characteristic evaluation content 340. These may be part or all of the user information 500, health information 600, driving aptitude information 210, health interview content 220, stress reduction content 230, and exercise characteristic evaluation content 240 stored in the management server 101.

[0039] 4 shows an example of the hardware configuration of the wearable device 103. The wearable device 103 is an example of a health information acquisition terminal for acquiring health information of a user, and is an additional element in the driving aptitude evaluation system 1. The wearable device 103 includes a main memory device 401 and an auxiliary memory device 402. The wearable device 103 also includes the processor 403, input device 404, output device 405, sensor 406, and communication control unit 407 as described above.

[0040] The health information acquisition terminal may be, for example, any of various measuring devices capable of measuring the above-mentioned health information, such as a thermometer, a blood pressure monitor, a pulse wave sensor, a blood glucose level sensor, an electrocardiogram sensor, a sleep monitor, a pedometer, etc. The wearable terminal 103 is a health information acquisition terminal that can be worn on the finger, wrist, arm, head, etc., and is typically exemplified by a smart ring (a ring-type IoT device) or a smart watch (a wristwatch-type IoT device). In this embodiment, an example will be described in which a smart ring capable of communicating with the user terminal 102 is used as the wearable terminal 103. The health information acquisition terminal does not need to be a wearable terminal (a wearable terminal), but being a wearable terminal makes it possible to easily and / or accurately acquire health information without causing discomfort to the user and reducing the burden and effort on the user.

[0041] The main memory device 401 stores programs and applications such as a wearable management module 411 and a sensor module 412, and the processor 403 executes these programs and applications to realize each functional element of the wearable terminal 103.

[0042] The wearable management module 411 controls the basic operations of the wearable terminal 103. For example, the wearable management module 411 cooperates with the user-side health information acquisition module 312 of the user terminal 102 to control the basic operations of the wearable terminal 103. The wearable management module 411 also cooperates with the user-side health information acquisition module 312 of the user terminal 102 to transmit vital data acquired by a sensor module 412 (described later) to the user terminal 102.

[0043] The sensor module 412 detects the user's vital signs and acquires them as vital data (detected data). For example, the sensor module 412 detects the user's vital signs using the sensor 406 and stores them in the auxiliary storage device 402. The sensor 406 may acquire the vital data invasively or non-invasively, but a non-invasive sensor is more preferable. The wearable device 103 is equipped with, for example, a multi-wavelength PPG sensor, a temperature sensor (e.g., an infrared sensor), a microwave sensor, an electrocardiogram sensor, etc. as the sensor 406, and can acquire vital data such as the user's PPG (Photoplethysmography) signal, body temperature signal, absorbance signal, blood glucose level, and electrical activity associated with cardiac movement based on these sensors.

[0044] The wearable device management module 316 of the user terminal 102 can analyze the vital data acquired by the sensor module 412 to acquire health information such as the user's heart rate (average heart rate), pulse wave characteristics, body temperature, skin moisture content, sweat rate, blood sugar level, electrocardiogram, etc. Although not limited to this, the wearable device 103 may be configured to have an analysis function for analyzing the vital data and to transmit health information obtained by analyzing the vital data to the user terminal 102 or the management server 101. Furthermore, the management server 101 may be configured to have an analysis function for analyzing the vital data and to acquire the vital data from the wearable device 103 and transmit health information obtained by analyzing the vital data to the user terminal 102.

[0045] 5 and 6 show various types of information stored in the auxiliary storage device 202 of the management server 101. It is assumed that all or part of this information is stored in a JSON format file, but this is not limitative. It may also be configured to be stored in a relational database or a non-relational database.

[0046] FIG. 5 is an example of user information 500. The user information 500 is information about a user whose driving aptitude is to be evaluated. The user information 500 includes, for example, a user ID, a user display ID, a user name, a date of birth (male / female), a gender, an affiliation / address, password information, and personal identification information, and values ​​such as those shown as sample values ​​520 are input into the respective field names 510. The user information 500 is managed by the user terminal management module 211, such as by recording and updating.

[0047] FIG. 6 is an example of health information 600. The health information 600 is health information relating to the health of the user as described above. The health information 600 is acquired from the user terminal 102 by the health information acquisition module 212 of the management server 101 and recorded in the auxiliary storage device 202. In this embodiment, the health information 600 includes a health information ID, a user ID, bedtime, wake-up time, meals, physical condition, whether or not the user is tired, whether or not the user is taking medication, average pulse rate, pulse wave characteristics, and number of steps, and values ​​such as those shown in sample values ​​620 are entered for each field name 610. Of this health information, the bedtime, wake-up time, meals, physical condition, whether or not the user is tired, and whether or not the user is taking medication are information acquired by a medical interview (medical interview information). The average pulse rate, pulse wave characteristics, and number of steps are information acquired from the wearable device 103 (biometric information and activity information, respectively).

[0048] [Driving aptitude assessment method] The following describes the operation of the driving aptitude evaluation system 1 and a method for evaluating driving aptitude using the driving aptitude evaluation system 1. When using the driving aptitude evaluation system 1 for the first time, the user first accesses the management server 101 via, for example, the user terminal 102, and registers user information 500. Here, the user management module 311 of the user terminal 102 accepts input of the user information 500 from the user and transmits it to the management server 101. The user terminal management module 211 of the management server 101 receives the user information 500 from the user terminal 102 and records it in the auxiliary storage device 202, thereby registering the user information.

[0049] FIG. 7 shows an example of a driving aptitude evaluation flow 700. Next, the health information acquisition module 212 of the management server 101 acquires the user's health information 600 via the user terminal 102 (step S710). In this embodiment, a "QOL score" is adopted as an example of comprehensive health information, and the QOL score is acquired.

[0050] FIG. 8 is an example of a health information acquisition flow 800. In this embodiment, health information 600 is acquired separately as medical interview information, and biological information and activity information, as shown in Fig. 8. Either the medical interview information or the biological information and activity information may be acquired first, and in this embodiment, the medical interview information is acquired first (step S810).

[0051] The health information acquisition module 212 cooperates with the user-side health information acquisition module 312 of the user terminal 102 to display, for example, health inquiry content for acquiring medical inquiry information on the display of the user terminal 102. Figures 9 and 10 show examples of health inquiry content output screens 900, 1000.

[0052] The health information acquisition module 212 first displays a health interview content output screen 900. The health information acquisition module 212 displays a bedtime input section 901 and a wake-up time input section 902 on the health interview content output screen 900. The bedtime input section 901 and the wake-up time input section 902 are each pull-down or drum roll input sections, allowing the user to select the appropriate bedtime input section and wake-up time, respectively. The health information acquisition module 212 also displays an input section 903 on the health interview content output screen 900 for inputting dietary information, physical condition, whether or not the user is fatigued, and whether or not the user is taking medication. The input section 903 is a checkbox-style input section, allowing the user to select an option by selecting a checkbox associated with the food consumed or the appropriate option. The health information acquisition module 212 displays a memo input section 904 on the health interview content output screen 900. The memo input section 904 is an input section that allows text input, and allows the user to make a memo by inputting the content of any concerns about his or her own health, for example, by text input.

[0053] Health information acquisition module 212 displays button 905 marked "Next" below health interview content output screen 900. When the user selects button 905 after inputting health information into input sections 901-904, user-side health information acquisition module 312 accepts the user's selection of button 905. In response, user-side health information acquisition module 312 transmits the input health information to management server 101, and health information acquisition module 212 receives the input health information and records it in auxiliary storage device 202. This makes it possible to acquire the interview information from health information 600.

[0054] Furthermore, health information acquisition module 212 cooperates with user-side health information acquisition module 312 of user terminal 102 to display, on the display of user terminal 102, a health inquiry content output screen 1000, for example, as shown in Fig. 10. Health information acquisition module 212 displays the medical inquiry information 1001 acquired in step S810 above this health inquiry content output screen 1000, allowing the user to check whether there are any errors in the medical inquiry information they entered.

[0055] The health information acquisition module 212 displays buttons 1002 and 1003 for selecting a means of acquiring biometric information below the health interview content output screen 1000, allowing the user to select the means of acquiring biometric information. In this embodiment, as means of acquiring the biometric information "pulse wave information," button 1002 for selecting a "smart ring" which is the wearable terminal 103 and button 1003 for selecting a "smartphone" which is the user terminal 102 are displayed. Then, by accepting the user's selection of either button, the process proceeds to the step of acquiring biometric information using the selected acquisition means. If there is only one type of acquisition means, buttons 1002 and 1003 may be replaced with a button for confirming the entered medical interview information or a button for proceeding to the next step.

[0056] When the selection of button 1002 or 1003 is accepted, biological information and activity information are acquired (step S820). In this embodiment, the case where pulse wave information is acquired as biological information will be described, and the case where activity information and other information are acquired will not be described. Figures 11 and 12 show examples of biological information acquisition screens 1100 and 1200.

[0057] [Biometric information acquisition using a smart ring] When the health information acquisition module 212 receives selection of the "smart ring" selection button 1002, it displays a biometric information acquisition screen 1100, for example, as shown in Fig. 11. The health information acquisition module 212 also cooperates with the user-side health information acquisition module 312 and the wearable device management module 316 of the user terminal 102, and checks, for example, the connection with the wearable device 103.

[0058] Health information acquisition module 212 first displays guidance message 1101 and data acquisition start button 1102 on (A) of biological information acquisition screen 1100. Health information acquisition module 212 displays a message such as "Data will be acquired from the smart ring. Please wear the smart ring on your finger and touch Start Acquisition" as guidance message 1101, and data acquisition start button 1102 for starting acquisition of pulse wave measurement results using the smart ring. For example, health information acquisition module 212 may make data acquisition start button 1102 selectable when communication with wearable device 103 is possible, and may make data acquisition start button 1102 unselectable when communication with wearable device 103 is not possible, and may display a message such as "Communication with smart ring is not possible. Please check your settings" in guidance message 1101.

[0059] Upon receiving a user's selection (touch) of data acquisition start button 1102, health information acquisition module 212 displays biometric information acquisition screen 1100(B). On biometric information acquisition screen 1100(B), health information acquisition module 212 displays data acquisition progress status 1103, guidance message 1104, and selection button 1105. On data acquisition progress status 1103, health information acquisition module 212 displays the progress of pulse wave measurement in real time using a bar graph and percentage. Health information acquisition module 212 may be configured to calculate the data acquisition progress so that stable pulse waves and pulse wave variations can be acquired for a predetermined measurement time, for example, by coordinating with user-side health information acquisition module 312 and wearable device management module 316. Health information acquisition module 212 displays guidance message 1104, such as "When vital data acquisition is complete, please touch Next," along with button 1105 labeled "Next" for proceeding to the next step. For example, the health information acquisition module 212 may display the selection button 1105 as unselectable until data acquisition is complete (data acquisition progress status 1103 reaches 100%), and may display the selection button 1105 as selectable once data acquisition is complete (data acquisition progress status 1103 reaches 100%).

[0060] Furthermore, upon receiving a user's selection (touch) of the data acquisition start button 1102, the health information acquisition module 212 transmits an instruction to acquire biometric information to the user-side health information acquisition module 312 of the user terminal 102. Accordingly, the user-side health information acquisition module 312 of the user terminal 102, in cooperation with the wearable device management module 316, measures the user's pulse wave using the wearable device 103 and analyzes the pulse wave information based on predetermined conditions. For example, by analyzing pulse wave information (including waveform, pulse rate variability, changes in heartbeat intervals, etc.) over a predetermined measurement period, various health information related to cardiovascular and cardiac autonomic nervous function, such as arterial oxygen saturation, heart rate, blood pressure (arterial pressure), vascular stiffness index, pulse wave propagation time, pulse wave velocity, cardiac output, sleep / wake discrimination, arterial compliance, peripheral resistance, and arrhythmia, can be obtained. The health information acquisition module 212 can detect, for example, the following based on the analysis of the pulse waveform:

[0061] The pulse rate depends only on the periodicity of the pulse waveform. For example, the distance between adjacent peaks in the pulse waveform can be used as the pulse period, and the average pulse rate can be calculated from the average pulse rate per minute. It is known that the pulse rate generally corresponds to the heart rate unless there are special circumstances such as a pulse deficit or vascular obstruction. If the sensor for acquiring health information is, for example, a photoplethysmogram (PPG) sensor equipped with a red LED and an infrared LED (e.g., a green LED), it is possible to calculate more reliable values ​​such as pulse rate, percutaneous arterial oxygen saturation (SpO2), blood oxygen concentration, blood hemoglobin concentration, and blood glycated hemoglobin concentration based on the difference in the absorption rate of these sensor light by hemoglobin in the blood.

[0062] The pulse waveform has the aspect of being a stereotypic waveform, consisting of two phases: the anacrotic phase and the catacrotic phase. However, by detecting that the pulse waveform cannot be separated into these two phases, in other words, that there is no dicrotic peak at the pulse wave peak, it is possible to detect signs of chronic elevated blood pressure and arteriosclerosis. On the other hand, since the pulse waveform is a pulsatile (AC) physiological waveform resulting from changes in blood volume with each heartbeat, blood pressure (e.g., systolic blood pressure) can be estimated and calculated based on, for example, pulse rate, blood output, pulse wave velocity (PWV) or pulse wave transit time (PTT), or the relationship between vascular wall pressure and elasticity.

[0063] The stiffness index (SI), an index of aortic stiffness, can be calculated from the time difference (delay time) between the first peak due to the driving pressure (direct wave) of cardiac contraction in the pulse waveform and the subsequent peak due to the re-rising pressure wave (reflected wave) reflected from the elimination of the driving pressure, and the subject's height. When this stiffness index SI is higher than a predetermined threshold, it is possible to detect the signs and progression of hardening of the vascular wall, i.e., arteriosclerosis.

[0064] The sympathetic nervous system is activated by stress and exercise, while the parasympathetic nervous system is activated by relaxation and rest. The vagus nerve, part of the parasympathetic nervous system, controls autonomic functions such as heart rate and blood pressure. Autonomic nervous function can be evaluated based on the power of each frequency band by frequency analysis of the pulse waveform (time change). For example, the ratio of the power in the low-frequency band (e.g., 0.04-0.15 Hz) (LF) to the power in the high-frequency band (e.g., 0.15-0.40 Hz) (HF) (LF / HP ratio) can be used as an index of sympathetic nervous activity or the sympathetic / vagus nerve activity ratio. HF can also be used as an index of vagus nerve activity. If these values ​​fall outside a predetermined range (e.g., normal range, caution range), stress can be assessed (e.g., caution range, danger range).

[0065] Based on this disclosure, a person skilled in the art would be able to appropriately adjust the type and configuration of the sensor, the analysis algorithm, and the like, in order to obtain desired health information. Furthermore, health information acquisition module 212 may be configured to acquire health information using an AI or learning device that outputs predetermined health information from a pulse waveform. This health information can be used as a health index for a person's stress level, fatigue, and the like. For example, user-side health information acquisition module 312 transmits the calculated pulse wave analysis information (e.g., average pulse rate in this embodiment) to management server 101. Health information acquisition module 212 of management server 101 records the received pulse wave analysis information in auxiliary storage device 202 and, for example, displays a selectable selection button 1105.

[0066] [Biometric information acquisition via smartphone] When the health information acquisition module 212 receives selection of the selection button 1003 for "smartphone" (user terminal 102), it displays a biometric information acquisition screen 1200, for example, as shown in Fig. 12. The health information acquisition module 212 also cooperates with the user-side health information acquisition module 312 of the user terminal 102 to start acquiring biometric information using the sensor function of the user terminal 102.

[0067] Health information acquisition module 212 first displays pulse wave information 1201, measurement progress information 1202, imaging information 1203, guidance message 1204, and measurement start button 1205 on biological information acquisition screen 1200 (A). Health information acquisition module 212 displays the pulse rate (an example of pulse wave information) simply measured by pulse wave measurement in real time on pulse wave information 1201. Note that on screen 1200, this pulse rate is displayed as the more commonly used term "pulse." Health information acquisition module 212 displays the progress of pulse wave measurement in real time using a pie chart and percentage on measurement progress information 1202. Health information acquisition module 212 displays video captured by a smartphone camera (e.g., a rear camera) in real time on imaging information 1203.

[0068] Health information acquisition module 212 displays guidance message 1204 such as "Press your index finger or middle finger against the rear camera and do not move it until the pulse wave stabilizes," along with a measurement start button 1205 for starting acquisition of pulse wave information using a smartphone. Health information acquisition module 212 may, for example, display measurement start button 1205 as selectable when it detects that the pulse wave and pulse wave fluctuation have stabilized based on the imaging information, and may display measurement start button 1205 as unselectable until it detects that the pulse wave and pulse wave fluctuation have stabilized.

[0069] When health information acquisition module 212 receives a selection (touch) of measurement start button 1205 by the user, it displays biological information acquisition screen 1200(B). Health information acquisition module 212 displays guidance message 1206 and measurement data analysis button 1207 on biological information acquisition screen 1200(B). Health information acquisition module 212 displays a message such as "Once measurement is complete, please tap measurement data analysis" as guidance message 1206. For example, health information acquisition module 212 may display measurement data analysis button 1207 as selectable when pulse wave information has been acquired for a predetermined measurement time based on imaging information, and may display measurement data analysis button 1207 as unselectable until pulse wave information has been acquired for the predetermined measurement time.

[0070] When the user selects (touches) measurement start button 1205, health information acquisition module 212 starts acquiring pulse wave information via user terminal 102 and analyzes the acquired pulse wave information as needed. Health information acquisition module 212, for example, calculates a simply measured pulse rate in real time and calculates an average pulse rate for a predetermined measurement period.

[0071] Alternatively, health information acquisition module 212 may be configured to start acquiring pulse wave information in cooperation with user-side health information acquisition module 312 of user terminal 102 when it detects that the rear camera is covered by a finger. Specifically, it detects the pulsation of the terminal artery based on subtle changes in color tone of the fingertip and acquires pulse wave variability information. Health information acquisition module 212 may also automatically acquire pulse wave information for a predetermined measurement period after the pulse wave and pulse wave variability have stabilized, for example, by cooperating with user-side health information acquisition module 312 of user terminal 102.

[0072] Furthermore, instead of displaying the imaging information 1203 on the biological information acquisition screens 1200(A) and (B), the health information acquisition module 212 may display the detected pulse waveform in real time. Furthermore, health information acquisition module 212 may be configured to measure a pulse wave (video pulse wave) from image information of a face (specifically, a change in color tone of the face) instead of measuring a pulse wave from image information of a finger. In this case, health information acquisition module 212 may display an image (video) of the user's face captured by a front camera in real time in image information 1203.

[0073] The analysis of the pulse wave information may be performed by user-side health information acquisition module 312 of user terminal 102 instead of by health information acquisition module 212. Furthermore, health information acquisition module 212 may be configured to acquire the analysis results of the pulse wave information calculated by user-side health information acquisition module 312 (e.g., average pulse rate) instead of acquiring the pulse wave information.

[0074] When health information acquisition module 212 receives a user's selection (touch) of measurement data analysis button 1207, it displays biometric information acquisition screen 1200(C). On biometric information acquisition screen 1200(C), health information acquisition module 212 displays an average pulse rate as second pulse wave information 1208, and pulse waveform 1209 instead of measurement progress information 1202 and imaging information 1203. Second pulse wave information 1208 is, for example, pulse wave information different from pulse wave information 1201 displayed on screen (A), and in this case, is obtained by further analyzing pulse wave information 1201. Health information acquisition module 212 may also display, as second pulse wave information 1208, other health information obtained by pulse wave analysis (e.g., blood pressure, vascular stiffness index (arteriosclerosis index), pulse wave propagation time, pulse wave velocity, cardiac output, sleep / wake discrimination, arterial compliance, peripheral resistance, arrhythmia, and other health information related to cardiovascular and cardiac autonomic nervous function). Second pulse wave information 1208 may be any one or a combination of two or more of the health information obtained by pulse wave analysis as exemplified above.

[0075] Health information acquisition module 212 may be configured to display any pulse wave information preset by the user, or pulse wave information that is recommended to be monitored over time based on the user's medical history or past health information, as second pulse wave information 1208. In this case, health information acquisition module 212 may be configured to output a message, display, sound, or the like to call attention as an alarm if a result indicating an abnormality in the user's health is obtained based on a comparison between calculated second pulse wave information 1208 and previous second pulse wave information 1208 that was calculated in the past and recorded in auxiliary storage device 202 or the like.

[0076] Pulse waveform 1209 may be a part or all of the pulse waveform acquired during a predetermined measurement time, for example, the most stable part of the pulse waveform.

[0077] Furthermore, on the biometric information acquisition screen 1200(C), the health information acquisition module 212 displays a message such as "Analysis is complete. Please tap Next" as a guidance message 1210, and also displays a selection button 1211 that displays "Next." The health information acquisition module 212 of the management server 101 records the acquired average pulse rate information in the auxiliary storage device 202.

[0078] When the user selects (touches) the selection buttons 1105, 1211, the health information acquisition module 212 calculates a QOL score (an example of comprehensive health information) based on the acquired medical interview information and biological information (step S830).

[0079] The health information acquisition module 212 displays a biometric information acquisition screen 1100(C). The health information acquisition module 212 displays a QOL assessment progress status 1106, a guidance message 1107, and an assessment result display button 1108 on the biometric information acquisition screen 1100(C). The health information acquisition module 212 displays, for example, a pie chart showing the progress of the QOL assessment in real time on the QOL assessment progress status 1106. The health information acquisition module 212 displays, as the guidance message 1107, a message such as "Touch the QOL assessment button to assess your current score," and an assessment result display button 1108 labeled "QOL assessment" for displaying the QOL assessment. The health information acquisition module 212 may, for example, display the selection button 1105 in an unselectable state until the QOL assessment is completed, and then display the selection button 1105 in a selectable state once the QOL assessment is completed.

[0080] We will explain how to calculate the QOL score. The health information acquisition module 212 acquires medical interview results standardized by a multi-level rating scale based on the medical interview information and predetermined conditions. Specifically, for example, the health information acquisition module 212 assigns predetermined points to each of the acquired multiple pieces of medical interview information. The points can be determined taking into account the impact of the medical interview content on health. For example, if the user is an adult, the points can be set as "0 (zero)" if the sleep time calculated from the bedtime and wake-up time is less than four hours, "2" if it is between four and six hours, "3" if it is between six and ten hours, and "2" if it is ten hours or more.

[0081] Furthermore, points can be determined taking into account the importance of each meal to health, such as, for example, consuming breakfast, lunch, and dinner can be given a score of "5," consuming breakfast and dinner but not lunch can be given a score of "3," and consuming lunch and dinner but not breakfast can be given a score of "2." Furthermore, a good physical condition can be given a score of "5," and a poor physical condition can be given a score of "0," etc.

[0082] The total points are divided into five levels in advance from the minimum to the maximum, and the medical interview results are assigned in order from the smallest total value to the largest total value, ranging from "score 1" indicating a relatively poor health state to "score 5" indicating a relatively good health state. The health information acquisition module 212 acquires the medical interview results by determining which score the total points assigned to all the medical interview information corresponds to.

[0083] Furthermore, the health information acquisition module 212 acquires pulse wave evaluation results normalized by a multi-level evaluation scale based on the average pulse rate and predefined conditions. Specifically, for example, with respect to the average pulse rate, a standard average pulse rate range, a range that is a predetermined number of pulse rates away from the standard average pulse rate range, and a range that is more than the predetermined number of pulse rates away from the standard average pulse rate range are predefined, and scores from "3" to "1" are assigned to these ranges in order. In addition, the disturbance of the pulse wave waveform is evaluated on a scale ranging from "score 3" to "score 1." In addition, other health information obtained by analyzing the pulse wave (e.g., blood pressure, degree of arteriosclerosis (vascular stiffness index)) is evaluated on a scale ranging from "Score 3" to "Score 1." Furthermore, an evaluation value can also be calculated by taking a weighted average of the scores for the pulse rate, pulse wave waveform, degree of arteriosclerosis, blood pressure, and the like.

[0084] It is known that long-distance drivers often have a history of obesity and hypertension (more specifically, arteriosclerosis, high blood pressure, heart disease, stroke, diabetes, gout, and arrhythmia), which are risk factors for brain and heart disease. Therefore, the health information acquisition module 212 displays one or a combination of two or more of the following, which can also be used as evaluation indicators for these diseases: blood pressure, vascular stiffness index (arteriosclerosis index), pulse wave transit time, pulse wave velocity, cardiac output, sleep / wake discrimination, arterial compliance, peripheral resistance, and arrhythmia, thereby enabling the driver's driving aptitude to be evaluated and the driver's health condition to be monitored, enabling the early detection of these diseases and their progression. The health information acquisition module 212 can obtain a pulse wave evaluation result by determining which score the average pulse rate measured for the user corresponds to.

[0085] FIG. 13 is an example of the QOL score evaluation table 1300. Health information acquisition module 212 acquires the user's QOL score based on QOL score evaluation table 1300 from the obtained medical interview result and pulse wave evaluation result. As shown in QOL score evaluation table 1300, QOL scores are defined as three levels, A to C, although not limited thereto. For example, a QOL score of "A" indicates a very good health condition (i.e., a relatively high level of health), "B" indicates a good health condition, and "C" indicates a not good health condition (i.e., a relatively low level of health). For example, if the medical interview result is a score of 4 and the pulse wave evaluation result is a score of 2, health information acquisition module 212 acquires "A" as the QOL score, which is associated with both the medical interview result score of "4" and the pulse wave evaluation result score of "2." Health information acquisition module 212 can store the acquired QOL score in auxiliary storage device 202.

[0086] The method for obtaining the QOL score is not limited to the above example. For example, a conversion table of QOL scores for combinations of answer options in a medical interview may be prepared in advance, such as in accordance with the Japanese version of EQ-5D (EuroQol 5 Dimension), and the health information acquisition module 212 may be configured to obtain the QOL score based on the combinations of answer options and the conversion table. The evaluation table 1300 and various conditions required for obtaining the QOL score may be stored in, for example, the auxiliary storage device 202.

[0087] 14 and 15 are examples of stress reduction information output screens 1400 and 1500. FIG. When selection of the judgment result display button 1108 is accepted, the health information acquisition module 212 cooperates with the user-side health information acquisition module 312 of the user terminal 102 to display stress reduction information output screens 1400, 1500. The health information acquisition module 212 displays judgment result display fields 1401, 1501 above the stress reduction information output screens 1400, 1500. The health information acquisition module 212 displays, for example, the acquired QOL score and its content text in the judgment result display fields 1401, 1501.

[0088] Next, the stress reduction module 213 of the management server 101 outputs information having a stress-reducing effect (step S720). This step S720 is an optional step in the health evaluation method according to the present technology, and can be omitted.

[0089] The stress reduction module 213 cooperates with the user-side stress reduction module 313 of the user terminal 102 to display stress reduction content 1402, 1502 in the center of the stress reduction information output screen 1400, 1500. The stress reduction content 1402, 1502 is content for reducing the user's stress. The stress reduction module 213 displays selection buttons 1403, 1503 below the stress reduction information output screen 1400, 1500, indicating that the user should proceed to a reflex test.

[0090] 14 and 15, the stress reduction module 213 may be configured to select and display content that has the effect of suitably reducing the stress the user is currently experiencing. For example, based on the user's health information (e.g., QOL score) acquired in step 710, the stress reduction module 213 selects and displays content that is appropriate for the user's health condition on that day from a plurality of pre-prepared stress reduction contents 1402, 1502. The stress reduction contents 1402, 1502 are categorized by type of stress, for example, into content that suitably reduces physical stress such as physical fatigue and content that suitably reduces physical stress such as mental fatigue.

[0091] The stress reduction contents 1402, 1502 are further classified for each type by the magnitude of the stress-reducing effect. The stress reduction module 213 is configured to select and display content that has the effect of suitably reducing stress, for example, based on the type and magnitude of stress the user is currently experiencing. For example, the stress reduction module 213 outputs information that has a greater stress-reducing effect the lower the health level (for example, when the QOL score is C). The stress reduction module 213 can select the content to be output, for example, as follows, depending on the type of stress. Some or all of these can be output.

[0092] 1. Content for reducing physical stress Physical exercise videos Information that causes an oscillator (for example, a linear resonant actuator, an eccentric rotary vibration motor, a piezoelectric actuator, or the like provided in the user terminal 102) to vibrate to provide relaxation or massage effects. 2. Content for reducing mental stress -Videos that guide the gaze in various directions (see Figure 14 for example) LED lighting Information on regulating breathing (see, for example, Figure 15) Other relaxation videos that relieve mental stress (for example, animal videos, landscape videos, healing videos with or without music, etc.)

[0093] The motion information acquisition module 214 of the management server 101 acquires motion characteristic information related to the motion characteristics of the user (step S730). The motion information acquisition module 214 outputs, for example, a motion characteristic evaluation content output screen 1600 for evaluating the motion characteristics of the user. Then, the motion information acquisition module 214 acquires the motion characteristic information of the user based on a response to the motion characteristic evaluation content.

[0094] 16 is an example of a motion characteristic evaluation content output screen 1600. When the user selects one of the selection buttons 1403 and 1503, the motion information acquisition module 214 cooperates with the user-side motion information acquisition module 314 of the user terminal 102 to display the motion characteristic evaluation content output screen 1600 on the display of the user terminal 102.

[0095] The motion characteristic evaluation content includes motion characteristic evaluation content (here, a driving video) for evaluating the user's instantaneous reflex characteristics when an external stimulus is applied. The motion information acquisition module 214 displays a content display section 1601 and a start button 1602 for starting the evaluation on a screen 1600(A). The driving video displayed on the content display section 1601 is, for example, a video showing the forward view from the driver's seat while driving a vehicle, etc., and in this driving video, a scene in which danger information appears appears at an arbitrary timing after a normal driving scene. The appearance of danger information is an example of an external stimulus. When the motion information acquisition module 214 accepts the user's selection of the start button 1602, it plays the driving video on the content display section 1601 as shown on a screen 1600(B). In addition, a restart button 1604 is displayed below the content display section 1601 along with a message 1603 such as "If a dangerous area appears, please touch that location."

[0096] When the motion information acquisition module 214 receives a user's selection of the restart button 1604, it restarts playing the driving video from the beginning. Furthermore, when the motion information acquisition module 214 receives a user's selection (touch) of a dangerous location in the content display unit 1601, it displays a screen 1600(C). On the screen 1600(C), the motion information acquisition module 214 displays a still image 1605 of the driving video at the time the user touched the dangerous location, a reflex time 1606, and a selection button 1607 labeled "overall assessment." The motion information acquisition module 214 measures the time from when a dangerous location appears in the driving video until the user touches the dangerous location, and displays this as a reflex time 1606 (an example of a reaction time). If the reflex time 1606 is shorter than a predetermined threshold, it can be determined that the motion characteristics are higher.

[0097] For example, the motion information acquisition module 214 classifies the reflection time 1606 in advance into three levels: short time, standard time, and long time based on a predetermined threshold, and determines the motion characteristics of a user whose reflection time 1606 is short as level A, the motion characteristics of a user whose reflection time 1606 is standard time as level B, and the motion characteristics of a user whose reflection time 1606 is long as level C. In this way, the motion characteristics of the user can be evaluated as level A, level B, and level C, in descending order. The motion information acquisition module 214 records the reflection time 1606 and / or the motion characteristics in the auxiliary storage device 202 as motion characteristic information.

[0098] When the selection of the select button 1607 is accepted, the driving aptitude information output module 215 of the management server 101 outputs the driving aptitude information of the user (step S740). Fig. 17 is an example of a driving aptitude evaluation table 1700. Figs. 18 and 19 are examples of driving aptitude information output screens 1800 and 1900.

[0099] A method for acquiring driving aptitude information will be described. As shown in the driving aptitude evaluation table 1700, in this embodiment, driving aptitude is defined in five levels, from level 1 to level 5. For example, as shown in the output screen 1800(A), driving aptitude "Level 1" indicates that the driving aptitude is significantly low and that the driver is in a very dangerous state, unsuitable for driving a vehicle or the like. When the driving aptitude is "Level 1," it is recommended that the driver take sufficient rest. As shown in the output screen 1800(B), driving aptitude "Level 2" indicates that the driver's driving aptitude is low, that caution is required when driving a vehicle or the like, and that the driver is in a state unsuitable for driving. When the driving aptitude is "Level 2," a decline in physical condition or driving nerves is recognized, and it is recommended that the driver take sufficient rest if any abnormality is felt.

[0100] As shown in output screen 1800(C), "Level 3" driving aptitude indicates that the driving aptitude is somewhat low and caution is required when driving a vehicle, etc. When the driving aptitude is "Level 3," there is no problem with driving, but it is recommended that the driver drive with due care, for example, because the driver's concentration may be declining. Also, for example, as shown in output screen 1900(D), "Level 4" driving aptitude indicates that the driver's driving aptitude is appropriate and there is no problem with driving, but some caution is required. When the driving aptitude is "Level 4," it is recommended that the driver take a short rest if they feel tired. As shown in output screen 1900(E), "Level 5" driving aptitude indicates that the driver has high driving aptitude and it is recommended that the driver drive safely with normal caution.

[0101] Driving aptitude can be uniquely determined from a combination of health information (here, QOL score) and motor characteristic information, for example, based on driving aptitude evaluation table 1700 as shown in Fig. 17. For example, if the health information is level A and the motor characteristic is level A, driving aptitude evaluation table 1700 obtains a driving aptitude level of "5," which is associated with both the health information level "A" and the motor characteristic level "A."

[0102] Furthermore, the driving aptitude information output module 215 cooperates with the user-side driving aptitude information output module 315 of the user terminal 102, and based on the driving aptitude information acquired in this manner, displays an output screen from pre-prepared output screens 1800(A) to (E) on the display of the user terminal 102, showing the corresponding driving aptitude level. The driving aptitude information output module 215 displays the driving aptitude level and its explanation 1801, 1901, and selection buttons 1802, 1902 that are displayed upon registration, on each of the output screens 1800(A) to (E).

[0103] As shown in the driving aptitude evaluation table 1700, the driving aptitude information output module 215 is configured to output driving aptitude information indicating that the user's aptitude for driving is higher as the health level in the health information increases. Furthermore, the driving aptitude information output module 215 is configured to output driving aptitude information indicating that the user's aptitude for driving is higher as the acquired motor characteristic information indicates higher motor characteristics. However, even when the acquired health information indicates that the user's health is high, if the motor characteristics do not meet a predetermined standard, the driving aptitude information output module 215 outputs driving aptitude information indicating that the user's aptitude for driving is relatively low. For example, when the motor characteristics are level A and the health information is level C, the driving aptitude information output module 215 outputs level 3 as the driving aptitude information, but when the health information is level A and the motor characteristics are level C, the driving aptitude information output module 215 outputs level 2 as the driving aptitude information, and outputs relatively lower aptitude information in the latter case than in the former case.

[0104] 20 is an example of a registration completion screen 2000. When the driving aptitude information output module 215 receives selection of the selection button 1802, it outputs the registration completion screen 2000 and registers the driving aptitude information for the relevant day in the auxiliary storage device 202. According to such a driving aptitude evaluation method according to the present technology, it is possible to obtain driving aptitude information that takes into consideration not only the user's health information but also their kinetic characteristic information. This makes it possible to more appropriately evaluate the driver's driving aptitude.

[0105] Depending on the registered driving aptitude, the management server 101 can do the following: A person whose driving aptitude evaluation result is 1 is in a state of health that is not suitable for driving, so their work can be managed to prevent them from driving. For example, this type of work management can include suspending access rights to driving management systems and logistics management systems, preventing them from performing driving duties. Furthermore, in attendance management, they can be treated as on leave or paid vacation. A person with a driving aptitude evaluation result of 2 is not considered to be in a state of health suitable for driving and requires vigilance. Therefore, work management can be implemented to require the person to rest if they experience any physical or mental abnormalities. Examples of such work management include requiring the person to report their health status or undergo a driving aptitude evaluation using the driving aptitude evaluation system at predetermined intervals. If the resulting health status is not sufficient to permit driving (e.g., an evaluation result of 2 or higher using the driving aptitude evaluation system), the person's access rights to the driving management system, logistics management system, etc., are suspended, and the person is unable to continue driving. Furthermore, if an abnormality is found in the report or the results of the driving aptitude evaluation, the driver's subsequent driving duties may be appropriately adjusted (e.g., contacting the delivery destination to allow for a delay in delivery time, arranging for a substitute driver, etc.). -People with driving aptitude evaluation results of 3 or 4 are in a health condition that requires caution when driving, so if they feel even the slightest bit of physical or mental fatigue, they can be warned to take a rest. Examples of such work management include notifying drivers to take a break every time a specified amount of time has passed, or recommending that they undergo a driving aptitude evaluation using this driving aptitude evaluation system. A person with a driving aptitude evaluation result of 1 is in a state of health suitable for driving, but can be warned to always pay attention to their health. Examples of such work management include notifying the driver to take a break every predetermined time, but less frequently than for evaluation results of 3 or 4, or recommending that the driver undergo a driving aptitude evaluation using this driving aptitude evaluation system. This system can also be used to monitor the driver's health. Drivers are known to be prone to lifestyle-related diseases, which are thought to be largely caused by accumulated fatigue from work. It is also known that lifestyle-related diseases significantly increase driving fatigue. Therefore, by continuously using this system, it is possible to not only evaluate the driver's driving aptitude on that day, but also to monitor the driver's health over the long term. As a result, it becomes possible to detect any deterioration in the driver's health at an early stage, which in turn enables the early detection and treatment of diseases and their progression.

[0106] Furthermore, with the above configuration, the stress reduction module 213 outputs stress reduction content before the motion characteristic evaluation, thereby enabling the user's stress to be suitably reduced and driving aptitude to be evaluated in such a reduced stress state. As a result, for example, as shown by the oval in FIG. 17, driving aptitude is suitably improved by performing exercises, etc., in accordance with the stress reduction content, compared to when the user does not perform exercises, etc., in accordance with the stress reduction content (solid oval). Note that many types of stress reduction content and motion characteristic evaluation content (e.g., 50 or more types, preferably 90 or more types) can be prepared to prevent the user from becoming accustomed to or bored with the content. In particular, the motion characteristic evaluation content is preferably configured to randomly change the type, appearance timing, appearance manner, etc. of hazard information as an external stimulus.

[0107] In the above embodiment, the content for evaluating motion characteristics is not limited to a driving video, but may be any content that can evaluate the user's motion characteristics and reflexes, for example. In the above embodiment, the health information acquisition module 212 acquires only the average pulse rate from the pulse wave information. However, information other than the average pulse rate (for example, arrhythmia information) may also be acquired from the pulse wave information.

[0108] In the above embodiment, for ease of explanation, the health information acquisition module 212 divides the pulse wave evaluation result into three levels and the medical interview result into five levels to obtain a three-level QOL score. The exercise information acquisition module 214 divides the exercise characteristics into three levels, and the driving aptitude information output module 215 obtains five-level driving aptitude information from the three-level QOL score and exercise characteristics. However, the number of categories of the information is not limited to this example and can be adjusted as appropriate.

[0109] The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0110] Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

[0111] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected. The above-described embodiments disclose at least the configurations described in the claims. [Explanation of symbols]

[0112] 1...driving aptitude evaluation system, 101...management server, 102...user terminal, 103...wearable terminal, 211...user terminal management module, 212...health information acquisition module, 213...stress reduction module, 214...exercise information acquisition module, 215...driving aptitude information output module, 311...user management module, 312...user side health information acquisition module, 313...user side stress reduction module, 314...user side exercise information acquisition module, 315...user side driving aptitude information output module, 316...wearable terminal management module, 411...wearable management module, 412...sensor module

Claims

1. a health information acquisition unit that acquires health information related to the user's health; a stress reduction unit that outputs information that has the effect of reducing stress of a user; a motion information acquisition unit that acquires motion characteristic information regarding the motion characteristics of a user; a driving aptitude information output unit that outputs driving aptitude information indicating a user's aptitude for driving based on the health information and the motion characteristic information; Equipped with the stress reduction unit outputs information that has a greater effect of reducing stress as the health level decreases, based on the health information acquired by the health information acquisition unit; The driving aptitude evaluation device, wherein the motion information acquisition unit outputs motion characteristic evaluation content for evaluating the user's motion characteristics after the stress reduction unit outputs information that has a greater effect of reducing stress the lower the health level, and acquires the motion characteristic information based on the response to the motion characteristic evaluation content.

2. The driving aptitude evaluation device according to claim 1 , wherein the health information acquisition unit acquires biological information as the health information, and acquires the health information based on the biological information.

3. The driving aptitude evaluation device according to claim 2 , wherein the health information acquisition unit acquires pulse wave information as the biological information, and acquires health information based on the pulse wave information.

4. The driving aptitude assessment device according to claim 1 , wherein the health information acquisition unit outputs a health inquiry content and acquires health information based on a response to the health inquiry content.

5. 3. The driving aptitude evaluation device according to claim 1, wherein the motion information acquisition unit outputs an external stimulus in the content for evaluating motion characteristics, and determines that the user's motion characteristics are higher if the reaction time to the external stimulus is shorter than a predetermined threshold.

6. The driving aptitude evaluation device according to claim 1 or 2, wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is higher when the health information indicating a higher level of health is acquired.

7. The driving aptitude evaluation device according to claim 1 or 2, wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is higher when the acquired motion characteristic information indicates higher motion characteristics.

8. The driving aptitude evaluation device of claim 6, wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is low if the motor characteristics do not meet a predetermined standard, even if the health information indicating a high level of health is acquired.

9. a health information acquisition step of acquiring health information relating to the user's health; a stress reduction information output step of outputting information having an effect of reducing stress of the user; a motion characteristic information acquisition step of acquiring motion characteristic information relating to the motion characteristics of the user; a driving aptitude information output step of outputting driving aptitude information indicating a user's aptitude for driving based on the health information and the information regarding the motion characteristics; Including, In the stress reduction information output step, information that has a greater effect of reducing stress as the health level is lower is output based on the acquired health information, A driving aptitude evaluation method in which, after information indicating that the lower the health level, the greater the effect of reducing stress is output, in the motor characteristic information acquisition step, motor characteristic evaluation content for evaluating the user's motor characteristics is output, and the motor characteristic information is acquired based on the response to the motor characteristic evaluation content.

10. The driving aptitude evaluation method according to claim 9 , further comprising acquiring biological information as the health information, and acquiring health information based on the biological information.

11. A driving aptitude evaluation method as described in claim 10, wherein pulse wave information is acquired as the biometric information, and health information is acquired based on the pulse wave information.

12. A driving aptitude evaluation method as described in claim 9 or 10, wherein in the health information acquisition step, health questionnaire content is output, and the health information is acquired based on a response to the health questionnaire content.

13. A driving aptitude evaluation method as described in claim 9 or 10, in which an external stimulus is output in the content for evaluating motor characteristics, and if the reaction time to the external stimulus is shorter than a predetermined threshold, it is determined that the user's motor characteristics are higher.

14. The driving aptitude evaluation method according to claim 9 or 10, wherein the driving aptitude information indicating that the user's aptitude for driving is higher is output when the acquired health information indicates a higher health level.

15. The driving aptitude evaluation method according to claim 9 or 10, wherein the driving aptitude information indicating that the user's aptitude for driving is higher is output when the acquired motion characteristic information indicates that the motion characteristic is higher.

16. 16. The driving aptitude evaluation method of claim 15, wherein even if the health information indicating a high level of health is acquired, if the motor characteristics do not meet a predetermined standard, driving aptitude information indicating that the user's aptitude for driving is low is output.

17. A program for causing a computer to execute each step of the driving aptitude evaluation method according to claim 9.

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