Driver monitoring device, driver monitoring method, and program

Abstract

The present invention provides a driver monitoring system, a driver monitoring method, and a program for calculating an index that can be utilized for managing the physical condition of a driver according to driver's driving conditions.　A driver monitoring device (2) is provided with: a mobile object behavior level recognition unit (11) that recognizes the level of a prescribed behavior of a mobile object (100) according to mobile object (100) driving operations performed by a driver; a danger score calculation unit (13) that calculates a danger score relating to driving of the mobile object (100) by the driver on the basis of the level of the prescribed behavior recognized by the mobile object behavior level recognition unit (11); and a physical condition-related index calculation unit (15) that calculates a prescribed index relating to the physical condition of the driver on the basis of the danger score.

Description

Driver monitoring device, driver monitoring method, and program

[0001] The present invention relates to a driver monitoring device, a driver monitoring method, and a program.

[0002] In recent years, efforts to provide access to sustainable transportation systems that take into consideration vulnerable traffic participants have been gaining momentum. To achieve this, efforts are being made to further improve traffic safety and convenience through research and development of preventive safety technologies. For example, Patent Literature 1 discloses a technology that calculates a driver's drowsiness risk based on information obtained from the driver of a vehicle, calculates a monotonous driving risk based on information about the route the vehicle is traveling, and estimates the time when the driver's future drowsiness level will exceed a predetermined threshold based on the drowsiness risk and monotonous driving risk.

[0003] Japanese Patent Application Laid-Open No. 2019-174693

[0004] In preventive safety technology, it is desirable to accurately recognize the driver's physical condition, which affects the driver's cognitive ability and judgment ability, and to provide necessary countermeasures. Therefore, an object of the present application is to calculate an index that can be used to manage the driver's physical condition according to the driver's driving situation. To solve the above problem, the present application aims to calculate an index that can be used to manage the driver's physical condition according to the driver's driving situation. Ultimately, this will further improve traffic safety and contribute to the development of sustainable transportation systems.

[0005] This specification includes the entire contents of Japanese Patent Application No. 2024-055486, filed on March 29, 2024. A first aspect for achieving the above object is a driver monitoring device including a mobile object behavior level recognition unit that recognizes a level of a predetermined behavior of the mobile object in accordance with a driving operation of the mobile object by a driver, a risk score calculation unit that calculates a risk score related to the driving of the mobile object by the driver based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit, and a physical condition-related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score.

[0006] In the driver monitoring device, the physical condition-related index calculation unit may be configured to calculate, as the predetermined index, a physical condition-related driving risk, which is an index of a driving risk of the mobile object caused by the physical condition of the driver.

[0007] In the driver monitoring device, the predetermined behavior may be associated with a type of driving ability of the driver that is assumed to affect the level of the predetermined behavior.

[0008] In the driver monitoring device, the risk score calculation unit may be configured to calculate the risk score by weighting the levels of the plurality of types of predetermined behaviors according to the degree of impact on the physical condition of the driver.

[0009] In the above-mentioned driver monitoring device, the risk score calculation unit calculates the risk score based on the level of the specified behavior recognized by the mobile body behavior level recognition unit during a specified measurement period, and is provided with a risk score information storage unit that stores the multiple risk scores calculated by the risk score calculation unit for each measurement period in a memory unit, and the physical condition-related index calculation unit may be configured to calculate the specified index based on the multiple risk scores stored in the memory unit.

[0010] In the above-mentioned driver monitoring device, the physical condition-related index calculation unit may be configured to calculate the degree of variation of the multiple risk scores stored in the memory unit as the specified index, and may be configured to include an advice notification unit that outputs physical condition advice information that notifies advice regarding the driver's physical condition from an alarm device used by the driver when the degree of variation is greater than or equal to a specified degree.

[0011] The driver monitoring device may be configured to include a biometric information acquisition unit that acquires biometric information of the driver, and the physical condition-related index calculation unit that calculates the specified index based on the risk score and the biometric information.

[0012] The driver monitoring device may be configured to include an advice notification unit that outputs driving advice information that notifies the driver of driving advice from a notification device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level.

[0013] In the above-mentioned driver monitoring device, the advice notification unit may be configured to output the driving advice information from the notification device when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level and the driver is driving the mobile body, and to output physical condition advice information that notifies advice regarding the driver's physical condition from the notification device when the driver is not driving the mobile body.

[0014] In the above-mentioned driver monitoring device, the advice notification unit may be configured to change the output manner of the driving advice information and the physical condition advice information depending on the level of the driving risk caused by the physical condition calculated by the physical condition-related index calculation unit.

[0015] A second aspect for achieving the above object is a driver monitoring method executed by a computer, which includes a mobile body behavior level recognition step for recognizing a level of a predetermined behavior of the mobile body in accordance with the driving operation of the mobile body by the driver, a risk score calculation step for calculating a risk score related to the driver's driving of the mobile body based on the level of the predetermined behavior recognized by the mobile body behavior level recognition step, and a health condition related index calculation step for calculating a predetermined index related to the driver's health condition based on the risk score.

[0016] A third aspect for achieving the above object is a program that causes a computer to function as a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by the driver, a risk score calculation unit that calculates a risk score related to the driver's driving of the mobile body based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit, and a health condition-related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.

[0017] According to the driver monitoring device, the driver monitoring method, and the program, it is possible to calculate an index that can be used for managing the physical condition of the driver in accordance with the driving situation of the driver.

[0018] Fig. 1 is an explanatory diagram of how a driver monitoring device is used. Fig. 2 is a configuration diagram of the driver monitoring device. Fig. 3 is an explanatory diagram of the correspondence between driving-related abilities, advice items, and components of risk scores. Fig. 4 is an explanatory diagram of the transition of risk scores and the probability density of risk scores. Fig. 5 is a flowchart of driver monitoring processing.

[0019] 1. Usage of the Driver Monitoring Device A usage of the driver monitoring device 2 of this embodiment will be described with reference to Fig. 1. The driver monitoring device 2 is configured as a function of a communication terminal 1 used by a driver D of a vehicle 100. The communication terminal 1 is a smartphone, a mobile phone, a tablet terminal, or the like. The communication terminal 1 is attached to a terminal holder 150 provided on the vehicle 100. The vehicle 100 corresponds to a mobile body in the present disclosure. The mobile body in the present disclosure may be an aircraft, a ship, or the like other than a vehicle.

[0020] The vehicle 100 is equipped with an ECU (Electronic Control Unit) 110 that controls the operation of the vehicle 100, a communication unit 120, a navigation device 121, a front camera 130 that takes images in front of the vehicle 100, a driver monitor camera 131 that takes images of the driver D, a display 132, speakers 133a and 133b, an acceleration sensor 134, etc. The ECU 110 communicates with the communication terminal 1 via the communication unit 120. The vehicle 100 is equipped with a steering wheel 140, an accelerator pedal 141, a brake pedal, etc. as driving operation units.

[0021] The driver monitoring device 2 recognizes the behavior of the vehicle 100, which changes in response to the operation of the steering wheel 140, accelerator pedal 141, and brake pedal 142 by the driver D, using an acceleration sensor built into the communication terminal 1. Then, the driver monitoring device 2 calculates a risk score related to the driving of the vehicle 100 by the driver D, based on the recognized predetermined behavior of the vehicle 100.

[0022] The driver monitoring device 2 displays driving advice information that notifies the driver D of advice regarding his driving and physical condition advice information that notifies the driver D of advice regarding his physical condition on the display of the communication terminal 1 according to the risk score, thereby supporting the management of the driver D's driving skills and physical condition.

[0023] 2. Configuration of the Driver Monitoring Device The configuration of the driver monitoring device 2 will be described with reference to Fig. 2. The communication terminal 1 having the functions of the driver monitoring device 2 includes a control unit 3 having a processor 10 and a memory 20, a communication unit 30, a camera 31, an acceleration sensor 32, a GNSS (Global Navigation Satellite System) sensor 33, a display 34, and a speaker 35.

[0024] The communication unit 30 performs short-range wireless communication using specifications such as Bluetooth (registered trademark) and UWB (Ultra Wide Band) between the vehicle 100 and a wearable device 160 (such as a smart watch) worn by the driver D. The communication unit 30 also communicates with a traffic information server 210, a vehicle management server 211, and the like via the communication network 200.

[0025] The camera 31 captures an image of the driver D with the communication terminal 1 attached to the terminal holder 150 (see FIG. 1 ). The acceleration sensor 32 detects, for example, six axes (acceleration in each of the longitudinal, lateral, and vertical directions, and angular velocity about each axis). The GNSS sensor 33 detects the position of the communication terminal 1. With the communication terminal 1 attached to the terminal holder 150, the position detected by the GNSS sensor 33 becomes the current position of the vehicle 100. The display 34 is a touch panel, and the driver D instructs the use and stopping of functions of the driver monitoring device 2 by touching the display 34.

[0026] The memory 20 stores an application program 21 for the driver monitoring device 2 and risk score time series data 22 in which risk scores are recorded in chronological order. By reading and executing the program 21, the processor 10 functions as a mobile object behavior level recognition unit 11, a biometric information acquisition unit 12, a risk score calculation unit 13, a risk score information storage unit 14, a physical condition-related index calculation unit 15, and an advice notification unit 16.

[0027] The processing executed by the moving object behavior level recognition unit 11 corresponds to the moving object behavior recognition step in the driver monitoring method of the present disclosure, the processing executed by the risk score calculation unit 13 corresponds to the risk score calculation step in the driver monitoring method of the present disclosure, and the processing executed by the physical condition related index calculation unit 15 corresponds to the physical condition related index calculation step in the driver monitoring method of the present disclosure.

[0028] The mobile object behavior level recognition unit 11 recognizes the acceleration of the vehicle 100 based on the detection signal of the acceleration sensor 32. Furthermore, the mobile object behavior level recognition unit 11 recognizes the departure and stopping of the vehicle 100 and the condition of the road on which the vehicle 100 is traveling based on the position of the vehicle 100 detected by the GNSS sensor 33 and the map data Mad received and acquired from the traffic information server 210.

[0029] The mobile body behavior level recognition unit 11 recognizes the levels of the following components of danger risk, based on the acceleration of the vehicle 100 and the conditions of the road on which the vehicle 100 is traveling: a first element: acceleration when starting, a second element: deceleration when stopping, a third element: lateral G (centrifugal acceleration) when turning right or left, and a fourth element: lateral G when traveling on a straight road or a winding road. Here, starting, stopping, turning right or left, and swaying left and right when traveling on a straight road or a winding road correspond to the predetermined behavior of the mobile body of the present disclosure.

[0030] 3 shows the correspondence between a person's driving abilities, advice items for the driver, and components of the risk score. As shown in Fig. 3, the predetermined behaviors corresponding to the first to fourth elements are associated with the types of driving abilities (planning, perception, attention, judgment, and operation) of the driver that are assumed to affect the level of the predetermined behaviors.

[0031] The biometric information acquisition unit 12 acquires a facial image of the driver D captured by the camera 31 as biometric information of the driver D, and receives and acquires the biometric information Cmd transmitted from the wearable device 160. The biometric information Cmd indicates detected values ​​of the driver D's heart rate, blood pressure, body temperature, etc. detected by a vital sensor provided in the wearable device 160. Note that the biometric information acquisition unit 12 may receive and acquire from the vehicle 100 an image of the driver D captured by the driver monitor camera 131 of the vehicle 100, or detected information such as the heart rate, blood pressure, and posture detected by a vital sensor provided in the vehicle 100.

[0032] The risk score calculation unit 13 stores the levels of the first to fourth elements recognized by the mobile body behavior level recognition unit 11 on a daily basis in the memory 20 while the vehicle 100 is traveling. Then, the risk score calculation unit 13 calculates a risk score F(a, b) from the stored measurement data of the levels of the first to fourth elements on a daily basis using the following formula (1). where F(a, b): risk score, a １ : Average acceleration at start, α １ :a １ Weighting coefficient of b １ : Standard deviation of acceleration at start, β １ :b １ Weighting coefficient of a ２ : Average after deceleration when stopping, α ２ :a ２ Weighting coefficient of b ２ : Standard deviation of deceleration when stopping, β ２ :b ２ Weighting coefficient of a ３ : Average lateral G force when turning right or left, α ３ :a ３ Weighting coefficient of b ３ : Standard deviation of lateral G when turning right or left, β ３ :b ３ Weighting coefficient of a ４ : Average value of lateral G force when straight and winding, α ４ :a ４ Weighting coefficient of b ４ : Standard deviation of lateral G force during straight line and winding, β ４ :b ４ Weighting coefficient of α １ ~α ４ and β １ ~β ４ is set according to the degree of influence on the physical condition of the driver D.

[0033] In addition, the biometric information of driver D acquired by the biometric information acquisition unit 12 may be used as a component used to calculate the risk score, in which case an element regarding the detection level of each biometric information is added to (1) above.

[0034] The risk score information accumulation unit 14 records and stores information on the risk score F(a, b) calculated by the risk score calculation unit 13 in a time series on a daily basis in the risk score time series data 22. A1 in Figure 4 is a schematic diagram showing changes in the risk score in a time series on a daily basis, with the vertical axis set to the risk score and the horizontal axis set to the measurement date.

[0035] The physical condition-related index calculation unit 15 calculates the probability density shown in A2 of Figure 4 as the physical condition-attributed driving risk of the risk score for a predetermined judgment period (e.g., one month) recorded in the risk score time-series data 22. A2 of Figure 4 is a graph in which the vertical axis is set to the risk score and the horizontal axis is set to the probability distribution. The limit risk score of A2 is a judgment value at which the physical condition-attributed driving risk (area of ​​the shaded area) becomes the limit risk level. As described above, the advice notification unit 16 displays the driving advice information and physical condition advice information on the display 34.

[0036] [3. Driver Monitoring Process] The procedure of the driver monitoring process executed by the driver monitoring device 2 will be described with reference to the flowchart shown in Figure 5. In step S1, the mobile object behavior level recognition unit 11 measures the levels of the first to fourth elements (for one day) used to calculate the risk score F(a, b) using the above formula (1). In the following step S2, the risk score calculation unit 13 calculates the risk score using the above formula (1) based on the measured values ​​of the levels of the first to fourth elements for one day measured by the mobile object behavior level recognition unit 11. In addition, the risk score information accumulation unit 14 records information on the risk score calculated by the risk score calculation unit in the risk score time-series data 22 stored in the memory 20.

[0037] In the next step S3, the health-related index calculation unit 15 proceeds to step S4 when the risk scores for the judgment period (e.g., one month) have been recorded in the risk score time series data 22, and proceeds to step S1 when the risk scores for the judgment period have not yet been recorded in the risk score time series data 22.

[0038] In step S4, the health-related index calculation unit 15 calculates the degree of variation in the risk scores for the determination period. The degree of variation is, for example, a standard deviation, and corresponds to the health-related index of the present disclosure. In the following step S5, the advice notification unit 16 determines whether the degree of variation in the risk scores is equal to or greater than a predetermined degree.

[0039] If the degree of variation in the risk scores is equal to or greater than a predetermined degree, the advice notification unit 16 proceeds to step S10, and if the degree of variation in the risk scores is less than the predetermined degree, the advice notification unit 16 proceeds to step S6. In step S10, the advice notification unit 16 displays physical condition advice information on the display 34, and the process proceeds to step S6. Here, if the degree of variation in the risk scores is equal to or greater than a predetermined degree, there is a large variation in the driver D's daily driving, and the driver's physical condition is suspected to be poor. Therefore, by displaying the physical condition advice information and encouraging the driver D to take measures to improve his or her physical condition, the driver D's physical condition can be maintained in good condition and driving safety can be maintained.

[0040] In step S6, the physical condition-related index calculation unit 15 calculates the area of ​​the range above the limit score (the shaded area) as the physical condition-related driving risk, as shown in A2 of FIG. 4. The physical condition-related driving risk corresponds to the physical condition-related index of the present disclosure. In the following step S7, the advice notification unit 16 determines whether the physical condition-related driving risk is above the judgment level. If the physical condition-related driving risk is above the judgment level, the advice notification unit 16 proceeds to step S20, and if the physical condition-related driving risk is below the judgment level, the advice notification unit 16 proceeds to step S8.

[0041] In step S20, the advice notification unit 16 determines whether or not the vehicle 100 is being driven. The advice notification unit 16 recognizes whether or not the communication terminal 1 is being used inside the cabin of the vehicle 100 based on the communication status between the vehicle 100 and the communication terminal 1, and when it recognizes that the communication terminal 1 is being used inside the cabin of the vehicle 100, determines whether or not the vehicle 100 is being driven based on whether or not there is a change in the position detected by the GNSS sensor 33.

[0042] If the vehicle 100 is being driven, the advice notification unit 16 proceeds to step S22, and if the vehicle 100 is not being driven, the advice notification unit 16 proceeds to step S21. In step S22, the advice notification unit 16 displays driving advice information corresponding to the driving risk due to physical condition on the display 34 to alert the driver D, and the process proceeds to step S8. In step S21, the advice notification unit 16 displays physical condition advice information corresponding to the driving risk due to physical condition on the display 34 to give advice to the driver D to improve their physical condition, and the process proceeds to step S8.

[0043] [3. Other Embodiments] In the above embodiment, the physical condition-related index calculation unit 15 calculates the degree of variation in the danger score in step S4 of FIG. 5 as a predetermined index related to the physical condition of the driver D of the present disclosure, and calculates the physical condition-attributable driving risk in step S6 of FIG. 5 , but the predetermined index may be calculated by other calculation processing.

[0044] In the above embodiment, the advice notification unit 16 is provided and displays the physical condition advice information and the driving advice information on the display 34. However, it is also possible to display only one of the physical condition advice information and the driving advice information. Furthermore, the physical condition advice information and the driving advice information may be output as audio from the speaker 35 instead of being displayed on the display 34, or in addition to being displayed on the display 34.

[0045] In the above embodiment, the driver monitoring device 2 is configured as a function of the communication terminal 1. In another embodiment, the driver monitoring device of the present disclosure may be configured as a function of an in-vehicle device such as the ECU 110 provided in the vehicle 100, or as a dedicated in-vehicle device. In this case, the in-vehicle device is configured to measure the components of the risk score using the acceleration sensor 134 provided in the vehicle 100, and display physical condition advice information and driving advice information on the display 132.

[0046] The driver monitoring device of the present disclosure may also be configured as a function of a server such as the vehicle management server 211. In this case, the server is configured to measure the components of the risk score by receiving and acquiring acceleration detection data detected by the vehicle 100 or the communication terminal 1 via the communication network 200, and to transmit physical condition advice information and driving advice information to the vehicle 100 or the communication terminal 1.

[0047] 2 is a schematic diagram showing the configuration of the driver monitoring device 2 divided by main processing content to facilitate understanding of the present invention, but the configuration of the driver monitoring device 2 may be divided by other divisions. Furthermore, the processing of each component may be executed by one hardware unit or multiple hardware units. Furthermore, the processing of each component shown in FIG. 5 may be executed by one program or multiple programs.

[0048] 4. Configurations Supported by the Above-described Embodiments The above-described embodiments are specific examples of the following configurations.

[0049] (Configuration 1) A driver monitoring device comprising: a mobile body behavior level recognition unit that recognizes a level of a predetermined behavior of the mobile body in accordance with the driving operation of the mobile body by a driver; a risk score calculation unit that calculates a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit; and a physical condition related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score. According to the driver monitoring device of Configuration 1, by recognizing the level of the predetermined behavior of the mobile body in accordance with the driving situation of the driver and calculating the risk score, it is possible to calculate an index that can be used for managing the physical condition of the driver.

[0050] (Configuration 2) The driver monitoring device according to Configuration 1, wherein the physical condition-related index calculation unit calculates a physical condition-related driving risk, which is an index of a driving risk of the moving object caused by the physical condition of the driver, as the predetermined index. The driver monitoring device of Configuration 2 can calculate a physical condition-related driving risk that can be used as an index of the driver's driving risk.

[0051] (Configuration 3) The driver monitoring device according to Configuration 1 or 2, wherein the predetermined behavior is associated with a type of driving ability of the driver that is assumed to affect the level of the predetermined behavior. According to the driver monitoring device of Configuration 3, by adopting the predetermined behavior associated with the driving ability that varies depending on the physical condition of the driver, it is possible to calculate a risk score based on the physical condition of the driver.

[0052] (Configuration 4) A driver monitoring device according to any one of configurations 1 to 3, wherein the risk score calculation unit calculates the risk score by weighting the levels of the plurality of types of predetermined behaviors according to the degree of impact on the physical condition of the driver. According to the driver monitoring device, by weighting according to the degree of impact on the physical condition of the driver, it is possible to increase the correlation between the physical condition of the driver and the risk score.

[0053] (Configuration 5) A driver monitoring device according to any one of configurations 1 to 4, wherein the risk score calculation unit calculates the risk score based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit during a predetermined measurement period, and the risk score information accumulation unit stores the multiple risk scores calculated for each measurement period by the risk score calculation unit in a memory unit, and the physical condition-related index calculation unit calculates the predetermined index based on the multiple risk scores stored in the memory unit. According to the driver monitoring device of configuration 5, the predetermined index can be calculated while suppressing the influence of sudden fluctuations in the driver's physical condition during the measurement period.

[0054] (Configuration 6) The driver monitoring device according to Configuration 5, further comprising an advice notification unit, wherein the physical condition-related index calculation unit calculates the degree of variation of the plurality of risk scores stored in the memory unit as the predetermined index, and when the degree of variation is equal to or greater than a predetermined degree, outputs physical condition advice information that notifies advice regarding the physical condition of the driver from a notification device used by the driver. According to the driver monitoring device of Configuration 6, when it is estimated that the driver's physical condition is unstable due to a large degree of variation in the risk scores, the driver can be encouraged to improve their physical condition by providing physical condition advice information.

[0055] (Configuration 7) A driver monitoring device according to any one of configurations 1 to 6, further comprising a biological information acquisition unit that acquires biological information of the driver, and the physical condition-related index calculation unit calculates the predetermined index based on the risk score and the biological information. According to the driver monitoring device of configuration 7, by using the driver's biological information, it is possible to increase the correlation between the driver's physical condition and the predetermined index.

[0056] (Configuration 8) The driver monitoring device according to Configuration 2, further comprising an advice notification unit that outputs driving advice information from a notification device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is equal to or higher than a predetermined level. According to the driver monitoring device of Configuration 8, when the driving risk due to physical condition has increased and a decline in the driver's driving ability is predicted, the driving advice information is provided to alert the driver.

[0057] (Configuration 9) The driver monitoring device according to Configuration 8, wherein the advice notification unit outputs the driving advice information from the notification device when the moving body is being driven and the driving risk calculated by the physical condition-related index calculation unit is equal to or higher than a predetermined level, and outputs physical condition advice information from the notification device when the moving body is not being driven, the physical condition advice information notifying advice related to the driver's physical condition. According to the driver monitoring device of Configuration 9, advice related to driving can be given priority when the driver is driving, and advice related to physical condition can be given priority when the driver is not driving.

[0058] (Configuration 10) The driver monitoring device according to Configuration 9, wherein the advice notification unit changes the output mode of the driving advice information and the physical condition advice information in accordance with the level of the physical condition-related driving risk calculated by the physical condition-related index calculation unit. According to the driver monitoring device of Configuration 10, the change in the output mode can make the driver aware of a change in the level of physical condition-related driving risk.

[0059] (Configuration 11) A driver monitoring method executed by a computer, comprising: a mobile object behavior level recognition step of recognizing a level of a predetermined behavior of the mobile object in accordance with a driving operation of the mobile object by a driver; a risk score calculation step of calculating a risk score related to the driving of the mobile object by the driver based on the level of the predetermined behavior recognized by the mobile object behavior level recognition step; and a physical condition-related index calculation step of calculating a predetermined index related to the physical condition of the driver based on the risk score. By executing the driver monitoring method of Configuration 11 by a computer, it is possible to obtain the same effects as those of the driver monitoring device of Configuration 1.

[0060] (Configuration 12) A program that causes a computer to function as a mobile object behavior level recognition unit that recognizes a level of a predetermined behavior of the mobile object in accordance with the driving operation of the mobile object by a driver, a risk score calculation unit that calculates a risk score related to the driving of the mobile object by the driver based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit, and a physical condition-related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score. By executing the program of Configuration 12 by a computer, the configuration of the driver monitoring device of Configuration 1 can be realized.

[0061] The driver monitoring device, driver monitoring method, and program disclosed herein can be used to calculate indices that can be used to manage the driver's physical condition, depending on the driver's driving conditions.

[0062] 1...communication terminal, 2...driver monitoring device, 10...processor, 11...mobile object behavior level recognition unit, 12...biometric information acquisition unit, 13...risk score calculation unit, 14...risk score information storage unit, 15...health condition related index calculation unit, 16...advice notification unit, 20...memory, 21...program, 22...risk score time series data, 30...communication unit, 31...camera, 32...acceleration sensor, 33...GNSS sensor, 34...display, 35...speaker, 100...vehicle, 110...ECU, 120...communication unit, 121...navigation device, 130...front camera, 131...driver monitoring camera, 132...display, 133a, 133b...speakers, 150...terminal holder, 160...wearable device, 200...communication network, 210...traffic information server, 211...vehicle management server, D...driver

Claims

1. A driver monitoring device comprising: a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by a driver; a risk score calculation unit that calculates a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit; and a health condition related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score.

2. The driver monitoring device according to claim 1, wherein the physical condition-related index calculation unit calculates, as the predetermined index, a physical condition-related driving risk, which is an index of the driving risk of the moving body caused by the physical condition of the driver.

3. A driver monitoring device according to claim 1 or 2, wherein the predetermined behavior is associated with a type of driving ability of the driver that is assumed to affect the level of the predetermined behavior.

4. A driver monitoring device as described in claim 1 or claim 2, wherein the risk score calculation unit calculates the risk score by weighting the levels of multiple types of predetermined behaviors according to the degree of impact on the driver's physical condition.

5. A driver monitoring device as described in claim 1 or claim 2, wherein the risk score calculation unit calculates the risk score based on the level of the specified behavior recognized by the mobile body behavior level recognition unit during a specified measurement period, and the device is equipped with a risk score information storage unit that stores in a memory unit the multiple risk scores calculated by the risk score calculation unit for each measurement period, and the physical condition-related index calculation unit calculates the specified index based on the multiple risk scores stored in the memory unit.

6. The driver monitoring device according to claim 5, wherein the health-related index calculation unit calculates the degree of variation of the plurality of risk scores stored in the memory unit as the predetermined index, and includes an advice notification unit that outputs health advice information that notifies advice regarding the driver's health condition from a notification device used by the driver when the degree of variation is equal to or greater than a predetermined degree.

7. A driver monitoring device as described in claim 1 or claim 2, further comprising a biometric information acquisition unit that acquires biometric information of the driver, and wherein the physical condition-related index calculation unit calculates the specified index based on the risk score and the biometric information.

8. A driver monitoring device as described in claim 2, further comprising an advice notification unit that outputs driving advice information that notifies the driver of driving advice from a notification device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level.

9. A driver monitoring device as described in claim 8, wherein the advice notification unit outputs the driving advice information from the notification device when the moving body is being driven and the driving risk due to physical condition calculated by the physical condition-related index calculation unit is equal to or higher than a predetermined level, and outputs physical condition advice information that notifies advice regarding the driver's physical condition from the notification device when the moving body is not being driven.

10. A driver monitoring device as described in claim 9, wherein the advice notification unit changes the output mode of the driving advice information and the physical condition advice information depending on the level of the driving risk caused by the physical condition calculated by the physical condition-related index calculation unit.

11. A driver monitoring method executed by a computer, comprising: a mobile body behavior level recognition step for recognizing a level of a predetermined behavior of the mobile body in accordance with the driving operation of the mobile body by the driver; a risk score calculation step for calculating a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition step; and a health condition related index calculation step for calculating a predetermined index related to the physical condition of the driver based on the risk score.

12. A program that causes a computer to function as: a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by the driver; a risk score calculation unit that calculates a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit; and a health-related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.

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