Driving health support system, driving health support method, and program

Abstract

The present invention determines a user's physical condition related to the user's driving ability and provides an appropriate advice regarding the user's driving ability.　A driving health support system 1 is provided with: a wearable device 100 provided with a biometric data measurement unit 107 that acquires biometric data of a user; and an information processing device 200 provided with an operation detection unit 205 that acquires driving behavior data of the user, a second storage unit 240 that stores the biometric data and the driving behavior data in time series, and a second control unit 230 that calculates an ability evaluation value for evaluating the user's driving ability on the basis of at least one of the biometric data and the driving behavior data and performs a prescribed notification operation on the basis of the calculated ability evaluation value.

Description

Driving health support system, driving health support method and program

[0001] The present invention relates to a driving health support system, a driving health support method, and a program.

[0002] Conventionally, a device has been proposed that acquires a driver's biometric information and driving information related to the driver's driving operation, and determines the driver's driving suitability based on this acquired information (see, for example, Patent Document 1).

[0003] JP 2023-145468 A

[0004] In recent years, efforts to provide access to sustainable transport systems that take into consideration vulnerable transport participants have been gaining momentum. To achieve this, we are focusing on research and development into driver health support systems to further improve road safety and convenience.

[0005] Meanwhile, the driver health support system faces the challenge of further improving traffic safety and convenience by assessing the user's physical condition related to their driving ability and notifying them of appropriate advice related to their driving ability.

[0006] The present application aims to solve the above-mentioned problems by determining the physical condition of a user that is related to their driving ability and providing appropriate advice regarding their driving ability, thereby contributing to the development of a sustainable transportation system.

[0007] This specification includes all of the contents of Japanese Patent Application No. 2024-055921, filed on March 29, 2024. A first aspect for achieving the above object is a driving health support system including a biometric data acquisition device that acquires biometric data of a user, a driving behavior data acquisition device that acquires driving behavior data of the user, a storage device that stores the biometric data and the driving behavior data in chronological order, and a control device that calculates an ability evaluation value that evaluates the driving ability of the user based on at least one of the biometric data and the driving behavior data, and performs a predetermined notification operation based on the calculated ability evaluation value.

[0008] The above-mentioned driving health support system may be configured to include a detection device that detects when the user gets into a vehicle, and the control device may calculate, as one of the ability evaluation values, a first ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data during the predetermined period, calculate, as one of the ability evaluation values, a second ability evaluation value that evaluates the user's driving ability when getting into the vehicle based on the biometric data during a predetermined period based on the time when the detection device detects that the user gets into the vehicle, and perform the specified notification operation based on the comparison result between the first ability evaluation value and the second ability evaluation value.

[0009] The above-mentioned driving health support system may be configured to include a detection device that detects the user getting into and getting out of the vehicle, and the control device may calculate, as one of the ability evaluation values, a third ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data and driving behavior data during the predetermined period, calculate, as one of the ability evaluation values, a fourth ability evaluation value that evaluates the driving ability while driving based on the biometric data and driving behavior data acquired by the detection device between the time the user's getting into the vehicle and the time the user gets out of the vehicle, and perform the specified notification operation based on the result of comparing the third ability evaluation value with the fourth ability evaluation value.

[0010] In the above-mentioned driving health support system, the control device may be configured to include an operation unit that receives operations, detect a predetermined behavior of the user based on at least one of the biometric data, time information, and the operation received by the operation unit, calculate a fifth ability evaluation value that evaluates the user's driving ability based on the biometric data for a predetermined period before the user's predetermined behavior is detected, as one of the ability evaluation values, calculate a sixth ability evaluation value that evaluates the driving ability based on the biometric data for a predetermined period based on the time the predetermined behavior is detected, as one of the ability evaluation values, and perform the predetermined notification operation based on a comparison result between the fifth ability evaluation value and the sixth ability evaluation value.

[0011] In the above-mentioned driving health support system, the ability evaluation value may include a planning ability evaluation value that evaluates the user's driving planning ability, a perceptual ability evaluation value that evaluates the user's perceptual ability, an attention ability evaluation value that evaluates the user's attention ability, a judgment ability evaluation value that evaluates the user's judgment ability, and an operation ability evaluation value that evaluates the user's operation ability, and the control device may be configured to calculate an average value of the planning ability evaluation value, the perceptual ability evaluation value, the attention ability evaluation value, the judgment ability evaluation value, and the operation ability evaluation value, and perform the specified notification operation based on the calculated average value.

[0012] In the above-mentioned driving health support system, the control device may be configured to notify the user of information about places to go as the specified notification action when the average value is equal to or greater than a predetermined first threshold value, and to notify the user of information that contributes to the user's health and physical condition management as the specified notification action when the average value is equal to or less than a second threshold value that is lower than the first threshold value.

[0013] A second aspect for achieving the above object is a driving health support method including a first step of acquiring biometric data of a user, a second step of acquiring driving behavior data of the user, a third step of storing the biometric data and the driving behavior data in chronological order in a storage device, and a fourth step of calculating an ability evaluation value that evaluates the user's driving ability based on at least one of the biometric data and the driving behavior data, and performing a predetermined notification operation based on the calculated ability evaluation value.

[0014] A third aspect for achieving the above object is a program that causes a processor mounted on an information processing device to acquire biometric data of a user and driving behavior data of the user, calculate a capability evaluation value that evaluates the user's driving ability based on at least one of the acquired biometric data and the acquired driving behavior data, and perform a predetermined notification operation based on the calculated capability evaluation value.

[0015] According to the above-described driving health support system, driving health support method, and program, it is possible to determine the physical condition of the user that is related to the driving ability, and to provide appropriate advice related to the driving ability of the user.

[0016] FIG. 1 is a block diagram showing the system configuration of a driving health support system. FIG. 2 is a block diagram showing the configuration of an in-vehicle device. FIG. 3 is a block diagram showing the configuration of a wearable device. FIG. 4 is a block diagram showing the configuration of an information processing device. FIG. 5 is a diagram showing the relationship between driving ability and notification items to be notified to a user. FIG. 6 is a flowchart showing the operation of the information processing device of the first embodiment. FIG. 7 is a flowchart showing the operation of the information processing device of the second embodiment. FIG. 8 is a flowchart showing the operation of the information processing device of the third embodiment.

[0017] 1. Configuration of Driving Health Support System Embodiments of a driving health support system, a program, and a driving health support method will be described below with reference to the drawings. Fig. 1 is a diagram showing the system configuration of a driving health support system 1.

[0018] The driving health support system 1 includes an in-vehicle device 50 mounted on a vehicle, a wearable device 100, and an information processing device 200. The wearable device 100 is a device such as a smartwatch that is worn on the user's wrist, arm, head, etc. The information processing device 200 is a personal computer such as a smartphone, tablet, or notebook computer, for example.

[0019] The in-vehicle device 50, the wearable device 100, and the information processing device 200 communicate data with each other via short-range wireless communication using a communication method compatible with communication standards such as Bluetooth (registered trademark), BLE (Bluetooth Low Energy), Wi-Fi (registered trademark), and Zigbee (registered trademark).

[0020] 2 is a block diagram showing the configuration of the in-vehicle device 50. The in-vehicle device 50 includes a first wireless communication interface 51, a weight sensor 53, and an ECU (Electronic Control Unit) 55. Hereinafter, the interface will be abbreviated as I / F.

[0021] The first wireless communication I / F 51 is a wireless module for short-range wireless communication that includes a wireless antenna and an interface circuit and performs wireless communication with an external device.

[0022] The weight sensor 53 is disposed on the seat on which the user sits and detects the weight on the seat. The weight sensor 53 outputs sensor data indicating the weight on the seat to the ECU 55. In this embodiment, an example is described in which the in-vehicle device 50 includes the weight sensor 53. However, instead of the weight sensor 53, a pressure sensor, a human presence sensor, or the like may be used to detect whether a person is seated or not (avoids the seat). The weight sensor 53 and the ECU 55 correspond to an example of a detection device.

[0023] The ECU 55 is an electronic control device including a memory and a processor. The memory and processor are not shown. The memory is, for example, a non-volatile semiconductor memory or a combination of volatile and non-volatile semiconductor memories. The processor is an arithmetic processing unit including a CPU or an MPU. The processor may be a single processor or multiple processors.

[0024] The ECU 55 detects whether the user is seated in the vehicle or whether the user is leaving the vehicle based on the sensor data of the weight sensor. When the ECU 55 detects that the user is seated in the seat, it transmits a notification signal to the information processing device 200 notifying the user. In addition, when the ECU 55 detects that the user has dismounted from the vehicle, it also transmits a notification signal to the information processing device 200 notifying the user of the dismounting.

[0025] 3. Configuration of Wearable Device] Fig. 3 is a block diagram showing the configuration of wearable device 100. The configuration of wearable device 100 will be described with reference to Fig. 3. Wearable device 100 includes a clock unit 101, a second wireless communication I / F 103, a touch panel 105, a biological data measurement unit 107, a first position detection unit 109, and a first control unit 130.

[0026] The clock unit 101 keeps time and displays the kept time on the touch panel 105 .

[0027] The second wireless communication I / F 103 is a wireless module for short-range wireless communication that includes a wireless antenna and an interface circuit and performs wireless communication with an external device.

[0028] The touch panel 105 includes a display panel such as a liquid crystal panel or an organic EL (Electro-Luminescence) panel, and a touch sensor that detects touch operations on the display panel. The touch panel 105 displays images on the display panel under the control of the first control unit 130. The touch panel 105 also detects touch operations by the user on the display panel. The touch panel 105 outputs coordinate information indicating the position on the display panel touched by the user's finger to the first control unit 130.

[0029] The biological data measurement unit 107 measures biological data of the user wearing the wearable device 100 at preset intervals. The biological data includes, for example, pulse rate, calories burned, blood oxygen concentration, stress level, information about sleep, number of steps taken, distance traveled, etc. The biological data measurement unit 107 outputs the measured biological data to the first control unit 130. The first control unit 130 transmits the biological data measured by the biological data measurement unit 107 at preset intervals to the information processing device 200 via the second wireless communication I / F 103. The biological data measurement unit 107 and the first control unit 130 correspond to an example of a biological data acquisition device.

[0030] The first position detection unit 109 includes a GNSS (Global Navigation Satellite System) sensor and receives positioning signals transmitted from GNSS satellites to determine the position (latitude, longitude, altitude, etc.) of the wearable device 100. The first position detection unit 109 outputs position information indicating the position determined by the positioning to the first control unit 130.

[0031] The first control unit 130 is a computer device including a first storage unit 131 and a first processor 133 .

[0032] The first storage unit 131 is configured, for example, by a non-volatile semiconductor memory or a combination of volatile and non-volatile semiconductor memories. The first processor 133 is an arithmetic processing device configured by a CPU (Central Processing Unit) and an MPU (Micro Processor Unit). The first processor 133 may be configured by a single processor or by multiple processors.

[0033] 4. Configuration of Information Processing Device] Fig. 4 is a block diagram showing the configuration of the information processing device 200. The configuration of the information processing device 200 will be described with reference to Fig. 4. The information processing device 200 includes a third wireless communication I / F 201, a touch panel 203, a motion detection unit 205, a second position detection unit 207, and a second control unit 230.

[0034] The third wireless communication I / F 201 is a wireless module for short-range wireless communication that includes a wireless antenna and an interface circuit and performs wireless communication with an external device.

[0035] The touch panel 203 includes a display panel such as a liquid crystal panel or an organic EL panel, and a touch sensor that detects touch operations on the display panel. The touch panel 203 displays images on the display panel under the control of the second control unit 230. The touch panel 203 also detects touch operations by the user on the display panel. The touch panel 203 outputs coordinate information indicating the position on the display panel touched by the user's finger to the second control unit 230.

[0036] The motion detection unit 205 includes a MEMS (Micro Electro Mechanical Systems) sensor or an IMU (Inertial Measurement Unit), not shown, and detects triaxial acceleration and triaxial angular velocity. Furthermore, the motion detection unit 205 calculates and determines attitude angles (roll, pitch) and azimuth angles (yaw) based on the detected triaxial acceleration and triaxial angular velocity information. The motion detection unit 205 outputs information on the triaxial acceleration, triaxial angular velocity, attitude angles, and azimuth angles to the second control unit 230.

[0037] The second position detection unit 207 includes a GNSS sensor, and receives positioning signals transmitted from GNSS satellites to determine the position (latitude, longitude, altitude, etc.) of the information processing device 200. The second position detection unit 207 outputs position information indicating the position determined by the positioning to the second control unit 230.

[0038] The second control unit 230 is a computer device including a second storage unit 240, a second processor 250, and an interface circuit (not shown) for connecting sensors, peripheral devices, etc. The second control unit 230 corresponds to an example of a control device.

[0039] The second storage unit 240 is configured, for example, by a non-volatile semiconductor memory or a combination of volatile and non-volatile semiconductor memories. The second processor 250 is an arithmetic processing device configured by a CPU (Central Processing Unit) and an MPU (Micro Processor Unit). The second processor 250 may be configured by a single processor or by multiple processors. The second storage unit 240 corresponds to an example of a storage device.

[0040] The second storage unit 240 stores an OS (Operating System) 241, an application program 242, biometric data 243, sensor data 244, and map data 245. Hereinafter, the application program 242 will be referred to as an APP242.

[0041] The biological data 243 is data received from the wearable device 100. More specifically, the biological data 243 is data measured by the biological data measurement unit 107 of the wearable device 100 and transmitted by the wearable device 100 to the information processing device 200.

[0042] The sensor data 244 is data indicating three-axis acceleration, three-axis angular velocity, attitude angle, and azimuth angle measured by the motion detection unit 205 .

[0043] The map data 245 is data that the second control unit 230 uses when identifying the position of the information processing device 200. Based on the position information obtained by the second position detection unit 207 and the map data 245, the second control unit 230 determines, for example, whether the vehicle is traveling in a mountainous area or an urban area, and if the vehicle has stopped, whether it has stopped at a railroad crossing.

[0044] The information processing device 200 has a functional configuration that is realized by the second processor 250 executing an OS 241 and an APP 242. The information processing device 200 has, as its functional configuration, an acquisition unit 251, a calculation unit 253, a determination unit 255, and a notification control unit 257.

[0045] 5. Operation of Information Processing Device The acquisition unit 251 receives biometric data transmitted from the wearable device 100 and stores the received biometric data in chronological order in the second storage unit 240. The acquisition unit 251 also acquires the three-axis acceleration, three-axis angular velocities, attitude angle, and azimuth angle output by the motion detection unit 205. The acquisition unit 251 stores the acquired three-axis acceleration, three-axis angular velocities, attitude angle, and azimuth angle in chronological order in the second storage unit 240.

[0046] The acquisition unit 251 acquires the three-axis acceleration, three-axis angular velocity, attitude angle, and azimuth angle from the second storage unit 240, and calculates driving behavior data based on the acquired data. The driving behavior data includes three types of data: accelerator operation, brake operation, and steering operation. The operation detection unit 205 and the acquisition unit 251 correspond to an example of a driving behavior data acquisition device.

[0047] The calculation unit 253 evaluates the driving ability of the user based on the driving behavior data and biometric data acquired by the acquisition unit 251, and calculates a total ability score. The total ability score will be described later. The driving ability of the user to be evaluated includes five abilities: planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315.

[0048] First, the calculation unit 253 calculates an ability score by evaluating each of the items of accelerator operation 301, brake operation 302, and steering operation 303 based on the driving behavior data. Similarly, the calculation unit 253 calculates an ability score by evaluating each of the items of sleep 304, exercise 305, and stress 306 based on the biological data.

[0049] In this embodiment, the items for evaluating the accelerator operation include, for example, five items. The five items include, for example, whether the accelerator operation at start-up is sudden, whether the accelerator operation at start-up is inconsistent, the speed of the accelerator operation at start-up, whether the accelerator operation speed at start-up is high, and whether the accelerator operation speed at start-up is low.

[0050] In this embodiment, the items for evaluating the braking operation include, for example, three items: whether the braking operation at a temporary stop is sudden, whether the braking operation at a temporary stop is inconsistent, and whether the speed at which the brake is applied when stopping at a railroad crossing is high.

[0051] The items for evaluating the steering operation include, for example, two items: whether the vehicle sways to the left and right in urban areas or on mountain roads, and whether the vehicle sways to the left and right in urban areas or on mountain roads.

[0052] Furthermore, the calculation unit 253 evaluates each of the items of sleep 304, exercise 305, and stress 306 based on the biological data to calculate an ability score.

[0053] The items for evaluating the sleep 304 include 18 evaluation items such as quality of sleep, percentage of non-REM sleep, percentage of REM sleep, awake time, and number of awakenings.

[0054] The items for evaluating the exercise 305 include, for example, two evaluation items: the average number of steps per day and the variance in the number of steps.

[0055] The items for assessing stress 306 include, for example, one assessment item for stress during sleep.

[0056] 5 is a diagram showing the relationship between driving ability evaluated based on driving behavior data and biometric data and notification items notified to the user. On the left side of FIG. 5, accelerator operation 301, brake operation 302, and steering operation 303 are shown as items for evaluating driving behavior data. Sleep 304, exercise 305, and stress 306 are also shown as items for evaluating biometric data.

[0057] 5 shows the driving ability evaluated based on these items. The driving ability includes planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315.

[0058] Planning ability 311 is the ability of a user to make a driving plan. A driving plan is, for example, a driving plan from a parking position of a vehicle to a destination, and planning ability 311 is the ability to plan in advance how to drive. Planning ability 311 is determined based on sleep data 304. Perception ability 312 is determined based on accelerator operation 301, brake operation 302, steering operation 303, and sleep data 304. Attention ability 313 is determined based on accelerator operation 301, brake operation 302, steering operation 303, sleep data 304, exercise data 305, and stress data 306. Judgment ability 314 is determined based on accelerator operation 301, brake operation 302, steering operation 303, sleep data 304, and exercise data 305. Operation ability 315 is determined based on accelerator operation 301, brake operation 302, steering operation 303, sleep data 304, and exercise data 305.

[0059] 5, notification items to be notified to the user are shown on the right side of the drawing. The notification items include five notification items, a first notification item 321 to a fifth notification item 325. The first notification item 321 is a notification regarding the accelerator pedal operation speed when starting off. The second notification item 322 is a notification regarding the brake pedal operation speed when stopping. The third notification item 323 is a notification regarding the steering wheel operation speed when driving on winding roads or when overtaking a vehicle. The fourth notification item 324 is a notification regarding the distance between the vehicle and the vehicle ahead. The fifth notification item 325 is a notification regarding swaying of the vehicle from side to side.

[0060] The first notification item 321 is notified to the user when the planning ability 311 or the attention ability 313 is the lowest among the five driving abilities, or when it is determined that at least one of the planning ability 311 and the attention ability 313 is lower than a predetermined threshold value.

[0061] The second notification item 322 is notified to the user when the planning ability 311 or the judgment ability 314 is the lowest of the five driving abilities, or when it is determined that at least one of the planning ability 311 and the judgment ability 314 is lower than a predetermined threshold value.

[0062] The third notification item 323 is notified to the user when the planning ability 311, attention ability 313, or judgment ability 314 is the lowest of the five driving abilities, or when it is determined that at least one of the planning ability 311, attention ability 313, or judgment ability 314 is lower than a predetermined threshold value.

[0063] The fourth notification item 324 is notified to the user when the attention ability 313 is the lowest of the five driving abilities, or when it is determined that the attention ability 313 is lower than a preset threshold value.

[0064] The fifth notification item 325 is notified to the user when the perceptual ability 312, the judgment ability 314, or the operating ability 315 is the lowest of the five driving abilities, or when it is determined that at least one of the perceptual ability 312, the judgment ability 314, or the operating ability 315 is lower than a preset threshold value.

[0065] Next, a method for calculating the total ability score for each of the planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315 will be described. For example, a case where the total ability score for perception ability 312 is calculated will be described.

[0066] 5 , perceptual ability 312 is associated with accelerator operation 301, brake operation 302, steering operation 303, and sleep data 304. The calculation unit 253 calculates the total score of the ability points calculated for each of the target items of planning ability 311, perceptual ability 312, attention ability 313, judgment ability 314, and operation ability 315.

[0067] For example, accelerator operation 301 includes five items for evaluating accelerator operation 301. Calculation unit 253 calculates a score for each of these five items based on the driving behavior data, and then calculates a total score for the calculated scores. This total score is called the ability score for accelerator operation 301.

[0068] The calculation unit 253 similarly calculates the total points for the brake operation 302, the steering operation 303, and the sleep data 304. The total points of the brake operation 302, the steering operation 303, and the sleep data 304 are referred to as the ability score for the brake operation 302, the ability score for the steering operation 303, and the ability score for the sleep 304, respectively.

[0069] Next, the calculation unit 253 calculates the total score of the ability score for accelerator operation 301, the ability score for brake operation 302, and the ability score for steering operation 303, which are calculated based on the driving behavior data. This total score is called the first total score. Furthermore, the ability score calculated based on the biological data only includes sleep 304. Therefore, the calculation unit 253 sets the ability score for sleep 304 as the second total score.

[0070] The calculation unit 253 divides the calculated first total score and second total score by the sum of the number of items. Accelerator operation 301 has five items for evaluating accelerator operation 301, and brake operation 302 has three items for evaluating brake operation 302. Furthermore, steering operation 303 has three items for evaluating steering operation 303. The calculation unit 253 divides the first total score by "11", which is the sum of the number of items. The value obtained by dividing the first total score by the sum of the number of items is also referred to as the first ability score. The first ability score is a driving ability score calculated based on the driving behavior data, and is a score per item for evaluating driving ability.

[0071] Furthermore, the sleep data 304 includes 18 items for evaluating the sleep data 304. The calculation unit 253 divides the second total score by "18," which is the total number of items. The value obtained by dividing the second total score by the total number of items is also referred to as the second ability score. The second ability score is a driving ability score calculated based on the biometric data, and is a score per item for evaluating driving ability.

[0072] Next, the calculation unit 253 calculates the sum of the first ability score and the second ability score as the total ability score of the perceptual ability 312. At this time, the calculation unit 253 may multiply a value obtained by dividing the second total score by the number of items by a predetermined coefficient, and then calculate the sum of the result and a value obtained by dividing the first total score by the number of items. This coefficient is set based on the measurement accuracy of the smart device, and the calculated value becomes the ability score of the perceptual ability 312. The total ability score corresponds to an example of an ability evaluation value.

[0073] The calculation unit 253 calculates the total ability scores for the other four driving abilities, namely, planning ability 311, attention ability 313, judgment ability 314, and operation ability 315, in the same order.

[0074] The determination unit 255 determines the lowest ability total score among the total ability scores for perceptual ability 312, attention ability 313, judgment ability 314, and operation ability 315 calculated by the calculation unit 253. When the determination unit 255 determines the lowest ability total score, it acquires notification items associated with the determined ability total score by referring to Fig. 5. For example, if the ability with the lowest ability total score is planning ability 311, the determination unit 255 acquires a first notification item 321 and a second notification item 322 as notification items.

[0075] Furthermore, when the determination unit 255 determines the ability with the lowest total ability score, it may compare this total ability score with a threshold value. If the total ability score is lower than the threshold value, the determination unit 255 acquires notification items associated with driving abilities with total ability scores lower than the threshold value. Furthermore, if the total ability score is equal to or greater than the threshold value, the determination unit 255 does not notify the user.

[0076] Furthermore, the determination unit 255 may compare the total ability scores of all driving abilities with a threshold value, and acquire driving abilities whose total ability scores are lower than the threshold value. When the determination unit 255 acquires driving abilities whose total ability scores are lower than the threshold value, the determination unit 255 acquires notification items associated with the acquired driving abilities.

[0077] The notification control unit 257 generates advice corresponding to the notification item determined by the determination unit 255 and causes the generated advice to be displayed on the touch panel 203 .

[0078] 6 is a flowchart showing the operation of the first embodiment. The operation of the information processing device 200 will be described with reference to the flowchart shown in FIG. 6. The second control unit 230 determines whether a certain time has elapsed since the previous advice was displayed on the touch panel 203 (step SA1). If the certain time has not elapsed (step SA1 / NO), the second control unit 230 waits until the certain time has elapsed.

[0079] After a certain period of time has elapsed (step SA1 / YES), the second control unit 230 uses the driving behavior data and biometric data stored in the second memory unit 240 to calculate a total ability score for each driving ability, namely, perceptual ability 312, attention ability 313, judgment ability 314, and operating ability 315 (step SA2).

[0080] For example, judgment ability 314 is associated with five items: accelerator operation 301, brake operation 302, steering operation 303, sleep 304, and exercise 305. The second control unit 230 calculates an ability score for accelerator operation 301, an ability score for brake operation 302, and an ability score for steering operation 303 based on the driving behavior data, and calculates the total of these scores as a first total score. In addition, the second control unit 230 calculates an ability score for sleep 304 and an ability score for exercise 305 based on the biological data, and calculates the total of these scores as a second total score.

[0081] Next, the second control unit 230 calculates a first ability score by dividing the first total score by the number of items of accelerator operation 301, brake operation 302, and steering operation 303, and calculates a second ability score by dividing the second total score by the number of items of sleep 304 and exercise 305. Then, the second control unit 230 calculates the sum of the first ability score and the second ability score as the overall ability score of judgment ability 314.

[0082] The second control unit 230 calculates the total ability scores for each of the driving abilities, including the planning ability 311, the perception ability 312, the attention ability 313, the judgment ability 314, and the operation ability 315, and then identifies the lowest total ability score (step SA3). The second control unit 230 determines the content of advice to be given to the user based on the identified total ability scores (step SA4). Next, the second control unit 230 displays the determined content of advice on the touch panel 203 (step SA5).

[0083] [6. Second Embodiment] In a second embodiment, advice is provided to the user using only biometric data, without using driving behavior data. The calculation unit 253 acquires biometric data for a preset period from the second storage unit 240. This period includes biometric data from the day when the user's entry into the vehicle was detected and the day before. Examples of the preset period include one week, two weeks, one month, and three months.

[0084] Next, the calculation unit 253 calculates two second ability scores for each of the abilities of planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315 based on the acquired biometric data. The first is a second ability score calculated based on biometric data from a preset period, and hereinafter, this second ability score will be referred to as a second ability score in normal times. The second ability score in normal times corresponds to an example of a first ability evaluation value. The second is a second ability score calculated based on biometric data acquired on the day before boarding the vehicle and on the boarding day up to before boarding, and hereinafter, this second ability score will be referred to as a second ability score before boarding. The second ability score before boarding corresponds to an example of a second ability evaluation value.

[0085] The calculation unit 253 calculates the second ability score for each day within a preset period, and outputs the average value of the calculated second ability scores as the second ability score under normal circumstances.

[0086] Next, the calculation unit 253 calculates a second ability score based on the biometric data from the day before the user boards the vehicle and the biometric data acquired on the day of boarding and before boarding, and outputs the calculated second ability score as the second ability score before boarding. Furthermore, the calculation unit 253 may output the average value of the second ability score calculated based on the biometric data from the day before the user boards the vehicle and the second ability score calculated based on the biometric data acquired on the day of boarding and before boarding, as the second ability score before boarding.

[0087] The calculation unit 253 calculates the second ability score in normal times and the second ability score before boarding for each of the abilities of planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315.

[0088] The determination unit 255 compares the second ability score in normal times calculated for each driving ability with the second ability score before getting into the car, and determines the content of the advice based on the comparison result. For example, with regard to the operating ability 315, if the second ability score before getting into the car is higher than the second ability score in normal times, an address with content such as "You're feeling good today. It looks like you can drive safely" is displayed on the touch panel 203. Also, with regard to the operating ability 315, if the second ability score before getting into the car is lower than the second ability score in normal times, advice with content such as "Try to drive carefully with regard to accelerator operation and brake operation" is displayed on the touch panel 203.

[0089] Furthermore, the calculation unit 253 may calculate an average value of the second ability scores in normal times calculated for each of the driving abilities of the planning ability 311, the perception ability 312, the attention ability 313, the judgment ability 314, and the operation ability 315. Similarly, the calculation unit 253 may calculate an average value of the second ability scores before getting into the vehicle calculated for each of the driving abilities of the planning ability 311, the perception ability 312, the attention ability 313, the judgment ability 314, and the operation ability 315.

[0090] The determination unit 255 compares the average value of the second ability scores in normal driving with the average value of the second ability scores before getting into the car, and determines the content of the advice based on the comparison result. For example, if the average value of the second ability scores before getting into the car is higher than the average value of the second ability scores in normal driving, the determination unit 255 displays advice such as "You're feeling good today. It looks like you can drive with confidence" on the touch panel 203. On the other hand, if the average value of the second ability scores before getting into the car is lower than the average value of the second ability scores in normal driving, the determination unit 255 displays advice such as "Take frequent breaks while driving today" on the touch panel 203.

[0091] 7 is a flowchart showing the operation of the information processing device 200 of the second embodiment. The operation of the information processing device 200 of the second embodiment will be described with reference to the flowchart shown in FIG. 7. First, the second control unit 230 determines whether or not the user has gotten into the vehicle. The second control unit 230 determines whether or not the user has gotten into the vehicle based on a notification signal received from the in-vehicle device 50. Furthermore, the second control unit 230 may determine whether or not the user has gotten into the vehicle and the vehicle has started moving based on sensor data from the acceleration sensor.

[0092] If the second control unit 230 determines that the user is not in the vehicle (step SB1 / NO), it waits until it determines that the user is in the vehicle. If the second control unit 230 determines that the user is in the vehicle (step S1 / YES), it acquires biometric data for a preset period (step SB2).

[0093] Next, the second control unit 230 uses the acquired biometric data to calculate the second ability score under normal circumstances for each of the abilities of planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315 (step SB3).

[0094] Next, the second control unit 230 uses the acquired biometric data to calculate the second ability score before boarding for each of the abilities of planning ability 311, perception ability 312, attention ability 313, judgment ability 314, and operation ability 315 (step SB4).

[0095] Next, the second control unit 230 compares the second ability score in normal driving conditions with the second ability score before getting into the vehicle for each calculated driving ability and determines the content of the advice (step SB5). For example, the second control unit 230 identifies an ability for which the second ability score before getting into the vehicle is higher than the second ability score in normal driving conditions, and determines the content of the advice based on the identified ability. Alternatively, the second control unit 230 may identify an ability for which the second ability score before getting into the vehicle is lower than the second ability score in normal driving conditions, and determine the content of the advice based on the identified ability. Whether to display advice for an ability for which the second ability score before getting into the vehicle is higher than the second ability score in normal driving conditions or for an ability for which the second ability score before getting into the vehicle is lower than the second ability score in normal driving conditions may be set in advance by the user or may be set by default.

[0096] Next, the second control unit 230 causes the determined advice content to be displayed on the touch panel 203 (step SB6).

[0097] [7. Third Embodiment] In the third embodiment, the user's entry into a vehicle is detected, and a first ability score while driving and a second ability score while driving are calculated for each driving ability. Furthermore, in the third embodiment, a first ability score during normal driving, which is a first ability score for a predetermined period, and a second ability score during normal driving, which are first ability scores for a predetermined period, are calculated for each driving ability. The content of advice is determined by comparing these first ability score and second ability score.

[0098] First, when the in-vehicle device 50 detects that the user has entered the vehicle, the second control unit 230 acquires biometric data and driving behavior data every minute starting a few minutes after the start of driving, and stores the acquired biometric data and driving behavior data in chronological order in the second storage unit 240. The second control unit 230 continues this process until it detects that the user has exited the vehicle.

[0099] When the second control unit 230 detects that the user has exited the vehicle, it acquires driving behavior data during driving from the second storage unit 240 and calculates a first ability score during driving for each driving ability based on the acquired driving behavior data during driving. Similarly, the second control unit 230 acquires biometric data during driving from the second storage unit 240 and calculates a second ability score during driving for each driving ability based on the acquired biometric data during driving. The first ability score during driving and the second ability score during driving correspond to a fourth ability evaluation value.

[0100] Next, the second control unit 230 calculates a first ability score in normal times and a second ability score in normal times. For example, the second control unit 230 acquires driving behavior data and biological data for a preset period that includes the day on which the vehicle ride was detected, from the second storage unit 240. The first ability score in normal times and the second ability score in normal times correspond to a third ability evaluation value.

[0101] Next, the second control unit 230 calculates a first ability score for each driving ability under normal conditions based on the acquired driving behavior data for a predetermined period. The second control unit 230 also calculates a second ability score for each driving ability under normal conditions based on the acquired biological data for a predetermined period.

[0102] Next, the second control unit 230 compares the first ability score in normal driving with the first ability score when driving for each driving ability. Furthermore, the second control unit 230 compares the second ability score in normal driving with the second ability score when driving for each driving ability. For example, the second control unit 230 may identify a driving ability for which the first ability score when driving is higher than the first ability score in normal driving, and determine the content of the advice based on the identified driving ability. Furthermore, the second control unit 230 may identify a driving ability for which the second ability score when driving is higher than the second ability score in normal driving, and determine the content of the advice based on the identified driving ability.

[0103] Conversely, the second control unit 230 may identify a driving ability in which the first ability score while driving is lower than the first ability score while normally driving, and determine the content of the advice based on the identified driving ability.Furthermore, the second control unit 230 may identify a driving ability in which the second ability score while driving is lower than the second ability score while normally driving, and determine the content of the advice based on the identified driving ability.

[0104] Furthermore, the second control unit 230 may calculate the average value of the first ability score and the second ability score when driving, and the average value of the first ability score and the second ability score when normal. The average value of the first ability score and the second ability score when driving is referred to as the first average value. The average value of the first ability score and the second ability score when normal is referred to as the second average value. The second control unit 230 compares the first average value with the second average value to determine the content of the advice. For example, if the first average value is greater than the second average value, advice such as "You were able to concentrate while driving" or "You seem to be feeling well today. Don't push yourself too hard, and enjoy going out more" is displayed on the touch panel 203.

[0105] Fig. 8 is a flowchart showing the operation of the information processing device 200 according to the third embodiment. The operation of the information processing device 200 will be described with reference to the flowchart shown in Fig. 8. First, the second control unit 230 determines whether or not it has been detected that the user has entered the vehicle (step SC1). The second control unit 230 determines whether or not the user has entered the vehicle based on a notification from the in-vehicle device 50. If the user is not in the vehicle (step SC1 / NO), the second control unit 230 waits until it is detected that the user has entered the vehicle.

[0106] When the second control unit 230 detects that the user has entered the vehicle (step SC1 / YES), it acquires biometric data and driving behavior data at predetermined intervals (step SC2) and stores the acquired biometric data and driving behavior data in the second memory unit 240 (step SC3).

[0107] Next, the second control unit 230 determines whether or not the user has exited the vehicle based on the notification from the in-vehicle device 50 (step SC4).

[0108] If the second control unit 230 does not detect that the user has dismounted from the vehicle (step SC4 / NO), it returns to step SC2 and acquires the biometric data and driving behavior data at predetermined time intervals (step SC2). Furthermore, if the second control unit 230 detects that the user has dismounted from the vehicle (step SC4 / YES), it stops acquiring the biometric data and driving behavior data and starts calculating the ability score.

[0109] The second control unit 230 acquires driving behavior data for a preset period from the second storage unit 240, and calculates the first ability score in normal conditions based on the acquired driving behavior data (step SC5).

[0110] Next, the second control unit 230 acquires driving behavior data during driving from the second storage unit 240, and calculates the first ability score during driving based on the acquired driving behavior data (step SC6).

[0111] Next, the second control unit 230 acquires biometric data for a preset period from the second storage unit 240, and calculates the second ability score in normal times based on the acquired biometric data (step SC7).

[0112] Next, the second control unit 230 acquires the biometric data during driving from the second storage unit 240, and calculates the second ability score during driving based on the acquired biometric data (step SC8).

[0113] Next, the second control unit 230 calculates the average value of the first ability score during normal operation calculated in step SC5 and the second ability score during normal operation calculated in step SC7 (step SC9). Similarly, the second control unit 230 calculates the average value of the first ability score during driving calculated in step SC6 and the second ability score during driving calculated in step SC7 (step SC10).

[0114] Next, the second control unit 230 compares the average value of the first ability score and the second ability score in normal driving with the average value of the first ability score and the second ability score while driving to determine the content of advice (step SC10). The second control unit 230 displays the determined content of advice on the touch panel 203 (step SC11).

[0115] 8. Fourth Embodiment In a fourth embodiment, the information processing device 200 detects a preset action of the user. The preset action includes waking up, going to bed, and eating. The information processing device 200 may also detect a preset time input by the user by operating the touch panel 203. The touch panel 203 corresponds to an example of an operation unit.

[0116] When the information processing device 200 detects a preset behavior of the user, it calculates a total ability score for each driving ability for normal times and for when the user is taking action. The total ability score for normal times corresponds to an example of a fifth ability evaluation value. The total ability score for normal times is calculated based on driving behavior data and biometric data for a preset period of time, going back from the day the preset behavior was detected. The total ability score for when the user is taking action is calculated based on driving behavior data and biometric data for the day the preset behavior was detected and the day before that. The total ability score for when the user is taking action corresponds to an example of a sixth ability evaluation value.

[0117] The second control unit 230 compares the total ability score for each driving ability in normal driving conditions with the total ability score for each driving ability in action, and determines the content of advice to be given to the user.

[0118] For example, the second control unit 230 identifies driving abilities during an action in which the total ability score is lower than the total ability score during normal times. The second control unit 230 determines the content of advice based on the identified driving abilities. For example, if the total driving score during an action of the operating ability 315 is lower than during normal times, the second control unit 230 determines the content of advice such as "Today, try jogging or strength training, even if it is only for XX minutes. This will lead to improvement of your driving operating ability."

[0119] 9. Fifth Embodiment In the fifth embodiment, the second control unit 230 calculates the average values ​​of the total ability scores for the planning ability 311, the perception ability 312, the attention ability 313, the judgment ability 314, and the operation ability 315. The second control unit 230 determines the content of advice to the user based on the calculated average value of the total ability scores for each driving ability. For example, if the average value of the total ability scores for each driving ability is equal to or greater than a predetermined first threshold, the second control unit 230 determines that the user is in good physical condition and active, and notifies the user of information about places to go as advice information. Furthermore, if the average value of the total ability scores for each driving ability is equal to or less than a second threshold that is different from the first threshold and smaller than the first threshold, the second control unit 230 notifies the user of information contributing to health and physical condition management as advice information.

[0120] [10. Other Embodiments] The above-described embodiments are preferred embodiments of the present invention. However, the present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the gist of the present invention. For example, the functional units of the in-vehicle device 50 shown in FIG. 2, the wearable device shown in FIG. 3, and the information processing device 200 shown in FIG. 4 indicate functional configurations, and specific implementation forms are not particularly limited. In other words, it is not necessary to implement hardware corresponding to each functional unit individually. Of course, a configuration in which a single processor executes a program to realize the functions of multiple functional units is also possible. Furthermore, some of the functions realized by software in the above embodiments may be realized by hardware, or some of the functions realized by hardware may be realized by software.

[0121] 6 to 8 are divided according to the main processing content in order to facilitate understanding of the processing of the information processing device 200, and the present invention is not limited by the manner in which the processing units are divided or the names of the processing units shown in the flowchart of FIG. 6. Furthermore, the processing of the information processing device 200 can be divided into even more processing units depending on the processing content, or one processing unit can be divided so that it includes even more processing. Furthermore, the processing order of the above flowcharts is not limited to the example shown in the drawings.

[0122] [11. Configurations Supported by the Above-described Embodiments] The above-described embodiments are specific examples of the following configurations.

[0123] (Configuration 1) A driving health support system comprising: a biometric data acquisition device that acquires biometric data of a user; a driving behavior data acquisition device that acquires driving behavior data of the user; a storage device that stores the biometric data and the driving behavior data in chronological order; and a control device that calculates an ability evaluation value that evaluates the driving ability of the user based on at least one of the biometric data and the driving behavior data, and performs a predetermined notification operation based on the calculated ability evaluation value.

[0124] The driving health support system of configuration 1 calculates an ability evaluation value that evaluates the driving ability of a user based on at least one of biometric data and driving behavior data, and provides a predetermined notification to the user based on the calculated ability evaluation value. As a result, it is possible to determine the user's physical condition related to their driving ability and notify the user of appropriate advice related to their driving ability.

[0125] (Configuration 2) The driving health support system according to Configuration 1, further comprising: a detection device that detects when the user gets into the vehicle; the control device calculates, as one of the ability evaluation values, a first ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data during the predetermined period; calculates, as one of the ability evaluation values, a second ability evaluation value that evaluates the user's driving ability when getting into the vehicle based on the biometric data during a predetermined period based on the time when the detection device detects that the user gets into the vehicle; and performs the predetermined notification operation based on a comparison result between the first ability evaluation value and the second ability evaluation value.

[0126] The driving health support system of configuration 2 performs a predetermined notification operation based on a first ability evaluation value that evaluates the user's driving ability over a preset period of time and a second ability evaluation value that is calculated based on biological data over a predetermined period of time starting from when the user's entry into a vehicle is detected. Therefore, when the user enters a vehicle, it is possible to identify a driving ability whose ability evaluation value is lower than normal and to perform a predetermined notification regarding the identified driving ability.

[0127] (Configuration 3) The driving health support system according to Configuration 1, further comprising: a detection device that detects the user getting into and getting out of the vehicle; the control device calculates, as one of the ability evaluation values, a third ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data and driving behavior data during the predetermined period; calculates, as one of the ability evaluation values, a fourth ability evaluation value that evaluates the driving ability while driving based on the biometric data and driving behavior data acquired by the detection device between the time the user gets into the vehicle and the time the user gets out of the vehicle; and performs the predetermined notification operation based on a comparison result between the third ability evaluation value and the fourth ability evaluation value.

[0128] The driving health support system of configuration 3 compares a third ability evaluation value that evaluates the user's driving ability over a preset period with a fourth ability evaluation value that evaluates the user's driving ability while the user is driving a vehicle, and performs a predetermined notification operation. Therefore, when the user drives a vehicle, it is possible to identify driving abilities with an ability evaluation value that is lower than normal, and to perform a predetermined notification regarding the identified driving ability.

[0129] (Configuration 4) The driving health support system according to Configuration 1, wherein the control device includes an operation unit that receives operations, detects a predetermined behavior of the user based on at least one of the biometric data, time information, and the operation received by the operation unit, calculates a fifth ability evaluation value that evaluates the driving ability of the user based on the biometric data for a predetermined period before the predetermined behavior of the user is detected, as one of the ability evaluation values, calculates a sixth ability evaluation value that evaluates the driving ability based on the biometric data for a predetermined period based on the time when the predetermined behavior is detected, as one of the ability evaluation values, and performs the predetermined notification operation based on a comparison result between the fifth ability evaluation value and the sixth ability evaluation value.

[0130] The driving health support system of configuration 4 performs a predetermined notification operation based on a comparison result between a fifth ability evaluation value calculated based on biometric data for a predetermined period before the user's predetermined behavior is detected and a sixth ability evaluation value calculated based on biometric data for a predetermined period based on the time the user's predetermined behavior is detected. Therefore, when the user performs a predetermined behavior, it is possible to identify a driving ability whose ability evaluation value is lower than normal and to perform a predetermined notification regarding the identified driving ability.

[0131] (Configuration 5) The ability evaluation value includes a planning ability evaluation value that evaluates the user's driving planning ability, a perceptual ability evaluation value that evaluates the user's perceptual ability, an attention ability evaluation value that evaluates the user's attention ability, a judgment ability evaluation value that evaluates the user's judgment ability, and an operation ability evaluation value that evaluates the user's operation ability, and the control device calculates an average value of the planning ability evaluation value, the perceptual ability evaluation value, the attention ability evaluation value, the judgment ability evaluation value, and the operation ability evaluation value, and performs the predetermined notification operation based on the calculated average value.

[0132] The driving health support system of configuration 5 performs a predetermined notification operation based on the average values ​​of the planning ability evaluation value, the perception ability evaluation value, the attention ability evaluation value, the judgment ability evaluation value, and the operation ability evaluation value. Therefore, it is possible to determine the user's physical condition related to their driving ability and notify the user of appropriate advice related to their driving ability.

[0133] (Configuration 6) The driving health support system according to Configuration 5, wherein the control device notifies the user of information about places to go as the predetermined notification operation when the average value is equal to or greater than a predetermined first threshold value, and notifies the user of information that contributes to the user's health and physical condition management as the predetermined notification operation when the average value is equal to or less than a second threshold value that is lower than the first threshold value.

[0134] The driving health support system of configuration 6 notifies the user of information about places to go when the average value is equal to or greater than a first preset threshold value, and notifies the user of information that contributes to the user's health and physical condition management when the average value is equal to or less than a second preset threshold value. This makes it possible to provide the user with appropriate advice based on the user's physical condition related to their driving ability.

[0135] (Configuration 7) A driving health support method including: a first step of acquiring biometric data of a user; a second step of acquiring driving behavior data of the user; a third step of storing the biometric data and the driving behavior data in chronological order in a storage device; and a fourth step of calculating an ability evaluation value that evaluates the driving ability of the user based on at least one of the biometric data and the driving behavior data, and performing a predetermined notification operation based on the calculated ability evaluation value.

[0136] The driving health support method of configuration 7 calculates an ability evaluation value for evaluating a user's driving ability based on at least one of biometric data and driving behavior data, and performs a predetermined notification operation based on the calculated ability evaluation value. As a result, it is possible to determine the user's physical condition related to their driving ability and notify the user of appropriate advice related to their driving ability.

[0137] (Configuration 8) A program that causes a processor mounted on an information processing device to acquire biometric data of a user and driving behavior data of the user, calculate a capability evaluation value that evaluates the driving ability of the user based on at least one of the acquired biometric data and the acquired driving behavior data, and perform a predetermined notification operation based on the calculated capability evaluation value.

[0138] The program of configuration 8 calculates an ability evaluation value for evaluating the user's driving ability based on at least one of the biometric data and the driving behavior data, and performs a predetermined notification operation based on the calculated ability evaluation value. As a result, it is possible to determine the user's physical condition related to their driving ability and notify the user of appropriate advice related to their driving ability.

[0139] 1... Driving health support system, 50... In-vehicle device, 51... First wireless communication I / F, 53... Weight sensor, 55... ECU, 100... Wearable device, 101... Clock unit, 101... First wireless communication I / F, 103... Second wireless communication I / F, 105... Touch panel, 107... Biometric data measurement unit, 109... First position detection unit, 130... First control unit, 131... First storage unit, 133... First processor, 200... Information processing device, 201... Third wireless communication I / F, 203... Touch panel, 205... Action detection unit, 207... Second position detection unit, 230... Second control unit, 240... Second storage unit, 241... O S, 242...APP, 243...biometric data, 244...sensor data, 245...map data, 250...second processor, 251...acquisition unit, 253...calculation unit, 255...determination unit, 257...notification control unit, 301...accelerator operation, 302...brake operation, 303...steering operation, 304...sleep data, 305...exercise data, 306...stress data, 311...planning ability, 312...perceptual ability, 313...attention ability, 314...judgment ability, 315...operation ability, 321...first notification item, 322...second notification item, 323...third notification item, 324...fourth notification item, 325...fifth notification item.

Claims

1. A driving health support system comprising: a biometric data acquisition device that acquires biometric data of a user; a driving behavior data acquisition device that acquires driving behavior data of the user; a storage device that stores the biometric data and the driving behavior data in chronological order; and a control device that calculates an ability evaluation value that evaluates the driving ability of the user based on at least one of the biometric data and the driving behavior data, and performs a predetermined notification operation based on the calculated ability evaluation value.

2. A driving health support system as described in claim 1, comprising a detection device that detects the user getting into the vehicle, wherein the control device calculates, as one of the ability evaluation values, a first ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data during the predetermined period, calculates, as one of the ability evaluation values, a second ability evaluation value that evaluates the user's driving ability when getting into the vehicle based on the biometric data during a predetermined period based on the time when the detection device detects that the user has gotten into the vehicle, and performs the specified notification action based on the result of comparing the first ability evaluation value with the second ability evaluation value.

3. A driving health support system as described in claim 1, comprising a detection device that detects the user getting into and getting out of the vehicle, wherein the control device calculates, as one of the ability evaluation values, a third ability evaluation value that evaluates the user's driving ability during a predetermined period based on the biometric data and driving behavior data during the predetermined period, calculates, as one of the ability evaluation values, a fourth ability evaluation value that evaluates the driving ability while driving based on the biometric data and driving behavior data acquired by the detection device between the time the user gets into the vehicle and the time the user gets out of the vehicle, and performs the specified notification action based on the result of comparing the third ability evaluation value with the fourth ability evaluation value.

4. The driving health support system of claim 1, wherein the control device comprises an operation unit that receives operations, detects a predetermined behavior of the user based on at least one of the biometric data, time information, and the operation received by the operation unit, calculates a fifth ability evaluation value that evaluates the user's driving ability based on the biometric data for a predetermined period before the user's predetermined behavior is detected, as one of the ability evaluation values, calculates a sixth ability evaluation value that evaluates the driving ability based on the biometric data for a predetermined period based on the time the predetermined behavior is detected, as one of the ability evaluation values, and performs the predetermined notification operation based on a comparison result between the fifth ability evaluation value and the sixth ability evaluation value.

5. The driving health support system of claim 1, wherein the ability evaluation values ​​include a planning ability evaluation value that evaluates the user's driving planning ability, a perceptual ability evaluation value that evaluates the user's perceptual ability, an attention ability evaluation value that evaluates the user's attention ability, a judgment ability evaluation value that evaluates the user's judgment ability, and an operation ability evaluation value that evaluates the user's operation ability, and the control device calculates an average value of the planning ability evaluation value, the perceptual ability evaluation value, the attention ability evaluation value, the judgment ability evaluation value, and the operation ability evaluation value, and performs the specified notification action based on the calculated average value.

6. The driving health support system of claim 5, wherein the control device notifies the user of information about places to go as the predetermined notification action when the average value is equal to or greater than a predetermined first threshold value, and notifies the user of information that contributes to the user's health and physical condition management as the predetermined notification action when the average value is equal to or less than a second threshold value that is lower than the first threshold value.

7. A driving health support method comprising: a first step of acquiring biometric data of a user; a second step of acquiring driving behavior data of the user; a third step of storing the biometric data and the driving behavior data in chronological order in a storage device; and a fourth step of calculating an ability evaluation value that evaluates the user's driving ability based on at least one of the biometric data and the driving behavior data, and performing a predetermined notification operation based on the calculated ability evaluation value.

8. A program that causes a processor mounted on an information processing device to acquire biometric data of a user and driving behavior data of the user, calculate an ability evaluation value that evaluates the driving ability of the user based on at least one of the acquired biometric data and the acquired driving behavior data, and perform a predetermined notification operation based on the calculated ability evaluation value.

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