Information processing device

Abstract

To obtain an information processing device with which it is possible to recommend the most suitable vehicle based on driving aptitude to a user.SOLUTION: An information processing device 30 comprises a driving aptitude diagnosis unit 310 that diagnoses a user's driving aptitude on the basis of physical ability and intellectual faculty measurement results of the user; a vehicle derivation unit 320 that derives a vehicle that is recommended to the user on the basis of the diagnosis results diagnosed by the driving aptitude diagnosis unit 310, and a notification unit 330 that notifies the diagnosis results and the vehicle that is recommended to the user. Thus, as the diagnosis results diagnosed by a learning algorithm of the driving aptitude diagnosis unit 310 and the vehicle recommended to the user derived by a learning algorithm of the vehicle derivation unit 320 can be notified to the user by the notification unit 330, it is possible for a vehicle dealer to recommend the most suitable vehicle to the user that is based on the driving aptitude.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an information processing device that measures and evaluates an aptitude for driving an automobile. [Background technology]

[0002] As the population ages, the number of elderly drivers is increasing, and traffic accidents caused by elderly drivers have become a social problem. As people age, their perception, cognition, judgment, operation, and other abilities gradually decline, but it is difficult for the person to be aware of this objectively. Patent Document 1 discloses an automatic driving aptitude diagnosis device that performs an efficient aptitude test without placing a burden on both the examinee and the person who performs the test, for example, when performing a driving aptitude diagnosis on a driver who operates a commercial vehicle. In the automatic driving aptitude diagnosis device described in Patent Document 1, a questioning device and a practical diagnosis device are operated in cooperation with each other, and the diagnosis results are output on a display or the like. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2008-83552 A Summary of the Invention [Problem to be solved by the invention]

[0004] Although the automated driving aptitude diagnosis device described in Patent Document 1 outputs the driving aptitude diagnosis results, there is no specific description of how to utilize the driving aptitude diagnosis results, and there is room for improvement.

[0005] In consideration of the above, an object of the present invention is to provide an information processing device that can recommend to a user an optimal vehicle based on driving aptitude. [Means for solving the problem]

[0006] The information processing device according to the present invention described in claim 1 includes at least one measurement result from a grip strength measuring device that measures a user's grip strength, a body composition measuring device that measures a user's body composition, a blood pressure measuring device, and a walking speed measuring device. The user's driving behavior data is not included. The device includes a driving aptitude diagnosis unit that diagnoses the user's driving aptitude based on physical ability measurement results and intellectual ability measurement results, a vehicle derivation unit that derives a vehicle to be recommended to the user based on the diagnosis results diagnosed by the driving aptitude diagnosis unit, and a notification unit that notifies the user of the diagnosis results and the vehicle to be recommended to the user.

[0007] In the information processing device according to the present invention described in claim 1, the driving aptitude diagnosis unit diagnoses the driving aptitude of the user based on the physical ability measurement result and the intellectual ability measurement result of the user, and the vehicle derivation unit derives a vehicle to be recommended to the user based on the diagnosis result diagnosed by the driving aptitude diagnosis unit. In addition, the notification unit notifies the diagnosis result diagnosed by the driving aptitude diagnosis unit and the vehicle to be recommended to the user derived by the vehicle derivation unit. Therefore, the notification unit can notify the user of the diagnosis result diagnosed by the learning algorithm of the driving aptitude diagnosis unit and the vehicle to be recommended to the user derived by the learning algorithm of the vehicle derivation unit, so that a person who performs driving aptitude diagnosis, such as an automobile dealer, can recommend to the user an optimal vehicle based on driving aptitude. In addition, an information processing device according to the present invention described in claim 2 is the information processing device having the configuration of claim 1, wherein the vehicles recommended to the user derived by the vehicle derivation unit include an item regarding the presence or absence of individual safety equipment. In addition, an information processing device according to the present invention described in claim 3 is an information processing device having the configuration of claim 1, wherein the intellectual ability measurement result is a result obtained by an intellectual ability measurement device that presents questions to measure the presence or absence of visual field defects. Effect of the Invention

[0008] As described above, the information processing device according to the present invention has the excellent effect of being able to recommend to a user an optimal vehicle based on driving aptitude. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram showing a schematic configuration of an information processing system including an information processing device according to an embodiment of the present invention. [Diagram 2] 2 is a diagram showing an example of a display on a monitor screen serving as a notification unit in FIG. 1. FIG. [Diagram 3]10 is a flowchart illustrating an example of a flow of a process performed by a cloud server according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] An example of an embodiment of the present invention will be described in detail below with reference to the drawings. Fig. 1 is a block diagram showing a schematic configuration of an information processing system 10 including an information processing device according to this embodiment.

[0011] In the information processing system 10 according to the present embodiment, a measurement system 20, a cloud server 30 as an information processing device, and a notification means 40 are connected via a communication network 50. In the information processing system 10 according to the present embodiment, the measurement results acquired by the measurement system 20 are transmitted to the cloud server 30, and the cloud server 30 performs various diagnostic processes.

[0012] The measurement system 20 includes a physical ability measuring device 22 for measuring the physical ability of the user, and an intellectual ability measuring device 24 for measuring the intellectual ability of the user. The physical ability measuring device 22 is, for example, composed of one or more of a grip strength measuring device for measuring the grip strength of the user, a body composition measuring device for measuring the body composition of the user, a blood pressure measuring device, a walking speed measuring device, etc. Here, the body composition measuring device refers to a device that can measure at least one or more of body fat percentage, muscle mass, basal metabolic rate, visceral fat level, estimated bone mass, and body water percentage, etc.

[0013] The intelligence measurement device 24 is configured, for example, by a touch panel type PC (personal computer) terminal or tablet terminal including a CPU (Central Processing Unit), ROM (Read Only Memory), and RAM (Random Access Memory), and an application for conducting a medical interview with a user is installed, for example. The user can input answers to questions displayed on the screen (or uttered by voice) by the application for conducting the medical interview by touching images such as buttons displayed on the display. If the PC terminal or tablet terminal is configured to allow input by voice, the user can input answers by voice.

[0014] Specifically, the intellectual ability measuring device 24 presents, as an example, questions about the user's age, questions for measuring cognitive ability (memory, etc.), questions for measuring judgment ability, questions for measuring driving ability (for example, understanding of road traffic laws such as signs and signals), questions for measuring the presence or absence of visual field defects, etc. The questions may be those used in known driving aptitude diagnostic tests.

[0015] The measurement results from the physical ability measuring device 22 and the intellectual ability measuring device 24 are output to the cloud server 30 via the communication network 50 by communication units (not shown) that are installed in each of them and transmit and receive data.

[0016] The cloud server 30 includes a central processing unit 32, a central communication unit 34, and a DB (database) 36.

[0017] The central processing unit 32 is configured with a general microcomputer including a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory), etc. The central processing unit 32 has the functions of a driving aptitude diagnosis unit 310, a vehicle derivation unit 320, and a notification unit 330. Each function of the central processing unit 32 is realized by executing a program stored in the ROM, etc.

[0018] The driving aptitude diagnosis unit 310 diagnoses the driving aptitude of the user based on the physical ability measurement result of the user measured by the physical ability measurement device 22 and the intellectual ability measurement result of the user measured by the intellectual ability measurement device 24. Specifically, the driving aptitude of the user is derived based on a preset algorithm. More specifically, as an example, a classifier (not shown) that has been machine-learned using learning information including a plurality of data sets of physical ability measurement results, intellectual ability measurement results, and driving aptitude results can be used. The classifier is trained so that a diagnosis result of driving aptitude is output when the physical ability measurement result and the intellectual ability measurement result are input. In this embodiment, examples of diagnostic items of driving aptitude include the degree of decline of the user's physical ability and intellectual ability, the degree of decline in safe driving awareness, the degree of decline in attention to surroundings, and the need to return a driver's license. In addition, points to be careful about when driving may be included.

[0019] The vehicle derivation unit 320 derives a vehicle to be recommended to the user based on the diagnosis result diagnosed by the driving aptitude diagnosis unit 310. Specifically, the vehicle to be recommended to the user is derived based on a preset algorithm. More specifically, as an example, a classifier (not shown) that has been machine-learned using learning information including a plurality of data sets of a pair of driving aptitude diagnosis result and a vehicle to be recommended to the user can be used. The classifier is trained so that a vehicle to be recommended to the user is output when the driving aptitude diagnosis result is input. In this embodiment, examples of items of the vehicle to be recommended to the user include the size of the vehicle body and the presence or absence of various safety equipment.

[0020] The notification unit 330 notifies the user of the diagnosis result diagnosed by the learning algorithm of the driving aptitude diagnosis unit 310 and the vehicle to be recommended to the user derived by the learning algorithm of the vehicle derivation unit 320. Specifically, based on the diagnosis result diagnosed by the driving aptitude diagnosis unit 310 and the vehicle to be recommended to the user derived by the vehicle derivation unit 320, image processing and audio processing are performed to output image data and audio data, and the image data and audio data are notified by the notification means 40 described later.

[0021] The central communication unit 34 establishes communication with the measurement system 20 and the notification means 40 via the communication network 50, and transmits and receives information such as measurement results and diagnosis results.

[0022] DB36 receives the measurement results from the measurement system 20, and stores each of the received measurement results in association with a user. In addition, the diagnosis results diagnosed by the driving aptitude diagnosis unit 310 and the vehicle information derived by the vehicle derivation unit 320 are also stored in association with the user. The data stored in DB36 is used as learning information when machine learning is performed in the discriminators of the driving aptitude diagnosis unit 310 and the vehicle derivation unit 320 described above.

[0023] The notification means 40 is a user interface for exchanging information with the user, and is constituted, for example, by a monitor screen of a display device.

[0024] Fig. 2 is a diagram showing an example of the display of a monitor screen 40A as the notification means 40. As shown in Fig. 2, the notification unit 330 displays information to be notified to the user on the monitor screen 40A. Specifically, as an example, the notification unit 330 displays a diagnosis result 42 of driving aptitude diagnosed by the driving aptitude diagnosis unit 310 on the left side of the monitor screen 40A, and vehicle information 44 derived by the vehicle derivation unit 320 on the right side of the screen.

[0025] As an example of the display of the driving aptitude diagnosis result 42, the diagnosis result for each diagnosis item is expressed as a numerical value in the upper part of the screen, and a radar chart in which the result is expressed on a regular polygon is displayed, and an explanation of each diagnosis item is displayed in the lower part of the screen. For example, if there are five diagnosis items from (a) to (e), the specific contents of the five diagnosis items are displayed in the lower part of the screen.

[0026] As an example of the display of vehicle information 44, recommended vehicles are displayed at the top of the screen, and the presence or absence of various safety equipment is displayed at the bottom of the screen. For example, if a compact car is derived by the vehicle derivation unit 320 as the vehicle recommended to the user, "compact car" is displayed at the top of the screen. At this time, one or more specific car models may be displayed. Also, at the bottom of the screen, for each safety equipment installed in the derived compact car, "O" is displayed if it is necessary, and "X" is displayed if it is not necessary. If it does not matter whether it is installed or not, "△" or "-" may be displayed.

[0027] Next, specific processing performed by the cloud server 30 according to this embodiment configured as described above will be described. Fig. 3 is a flowchart showing an example of the flow of processing performed by the cloud server according to this embodiment. The processing in Fig. 3 starts, for example, when the user finishes measurement by the physical ability measuring device 22 and the intellectual ability measuring device 24. Specifically, it starts when the measurement results are input to the cloud server 30 by the physical ability measuring device 22 and the intellectual ability measuring device 24 via the communication network 50.

[0028] 3, in step S10, the driving aptitude diagnosis unit 310 acquires the measurement results from the physical ability measurement device 22, and in step S12, the driving aptitude diagnosis unit 310 acquires the measurement results from the intellectual ability measurement device 24. Next, in step S14, the driving aptitude diagnosis unit 310 diagnoses the user's driving aptitude based on the user's physical ability measurement results and intellectual ability measurement results.

[0029] Next, in step S16, the vehicle derivation unit 320 derives a vehicle to be recommended to the user based on the diagnosis result diagnosed by the driving aptitude diagnosis unit 310. Then, the notification unit 330 notifies the diagnosis result diagnosed by the driving aptitude diagnosis unit 310 and the vehicle to be recommended to the user derived by the vehicle derivation unit 320 on the monitor screen 40A as the notification means 40 as shown in FIG.

[0030] Next, the effects of this embodiment will be described.

[0031] In the cloud server 30 according to this embodiment, the driving aptitude diagnosis unit 310 diagnoses the driving aptitude of the user based on the physical ability measurement result and the intellectual ability measurement result of the user, and the vehicle derivation unit 320 derives a vehicle to be recommended to the user based on the diagnosis result diagnosed by the driving aptitude diagnosis unit 310. In addition, the notification unit 330 notifies the diagnosis result diagnosed by the driving aptitude diagnosis unit 310 and the vehicle to be recommended to the user derived by the vehicle derivation unit 320. Therefore, the notification unit 330 can notify the user of the diagnosis result diagnosed by the learning algorithm of the driving aptitude diagnosis unit 310 and the vehicle to be recommended to the user derived by the learning algorithm of the vehicle derivation unit 320, so that a person who performs driving aptitude diagnosis, such as an automobile dealer, can recommend an optimal vehicle based on driving aptitude to the user.

[0032] In the above embodiment, the monitor screen 40A is used as the notification means 40, but the present invention is not limited to this. For example, the notification means 40 may be a sound generating device such as a speaker, and the notification may be made by voice, or a video or the like.

[0033] In addition, in the above embodiment, as shown in FIG. 3, the physical ability measurement result is obtained in step S10. However, for example, the intellectual ability measurement result may be obtained first in step S10, and the physical ability measurement result may be obtained in step S12.

[0034] In the above embodiment, the diagnosis results obtained by the driving aptitude diagnosis unit 310 and the vehicle derived by the vehicle derivation unit 320 are set as described above, but the present invention is not limited to the above content, and the specifications can be changed as appropriate.

[0035] In addition, the processing performed by each part of the information processing system 10 in the above embodiment has been described as software processing performed by executing a program, but this is not limited to this. For example, the processing may be performed by hardware. Alternatively, the processing may be a combination of both software and hardware. In addition, when the processing is performed by software, the program may be stored in various storage media and distributed.

[0036] Furthermore, the present invention is not limited to the above, and it goes without saying that various modifications can be made without departing from the spirit and scope of the present invention. [Explanation of symbols]

[0037] 30 Cloud server (information processing device) 310 Driving Aptitude Test Department 320 Vehicle Derivation Section 330 Information Department

Claims

1. a driving aptitude diagnosis unit that diagnoses the driving aptitude of the user based on the user's physical ability measurement results and intellectual ability measurement results that do not include driving behavior data, the measurement results including at least one of a grip strength measurement device that measures the user's grip strength, a body composition measurement device that measures the user's body composition, a blood pressure measurement device, and a walking speed measurement device; A vehicle selection unit that selects a vehicle to be recommended to the user based on a diagnosis result obtained by the driving aptitude diagnosis unit; a notification unit that notifies the user of the diagnosis result and a vehicle recommended to the user; An information processing device comprising:

2. The information processing device according to claim 1 , wherein the vehicles recommended to the user derived by the vehicle derivation unit include an item indicating whether or not each safety equipment is provided.

3. 2. The information processing apparatus according to claim 1, wherein the result of the intellectual ability measurement is a result obtained by an intellectual ability measurement device which presents questions for determining whether or not there is a visual field defect.

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