Method for Determining Flight Control Ability Training and Flight Control Ability Training Determination Device

Abstract

To provide a control ability training and determining method and a control ability training and determining device capable of efficiently improving control ability of a person subjected to training of control ability of a mobile.SOLUTION: A method previously stores relationship between brain activity values at a motion-related portion and a space recognition part in a human brain and control ability of human, acquires a motion-related brain activity value being a brain activity value at the motion-related portion in the brain of a training target person and a space recognition brain activity value being a brain activity value at the space recognition portion in the brain of the training target person, determines control ability of the training target person in accordance with the stored relationship and the acquired motion-related brain activity value and the space recognition brain activity value, and determines that one of the motion-related portion and the space recognition portion of the training target person should be trained with priority to the other in accordance with the determined control ability of the training target person and the acquired motion-related brain activity value and space recognition brain activity value.SELECTED DRAWING: Figure 4

Description

Technical Field

[0001] The present invention relates to a method for determining driving ability training and a device for determining driving ability training.

Background Art

[0002] As a technique for training personnel who drive vehicles to improve their driving ability, for example, there is a technique disclosed in Patent Document 1. In the technique disclosed in Patent Document 1, an electroencephalograph is attached to a subject who trains driving ability. Then, after presenting a three-dimensional visuospatial cognition task to the subject, among the parts detected by the electroencephalograph for a certain period of time, the electroencephalogram activity intensity in the γ band detected in any of the occipital visual field, parietal lobe, and prefrontal higher motor area is recorded. Further, the driving ability of the subject is determined by the relational expression between the maximum value of the recorded electroencephalogram activity intensity and the driving ability determined in advance by experiments.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The technique disclosed in Patent Document 1 is a technique for determining the driving ability of a subject by the relational expression between the maximum value of the electroencephalogram activity intensity of the subject and the driving ability determined in advance by experiments. Therefore, in the technique disclosed in Patent Document 1, it is difficult to train the driving ability of the subject according to the level of driving ability, and it is difficult to efficiently improve the driving ability of the subject. In view of the above problems, an object of the present invention is to provide a method for determining driving ability training and a device for determining driving ability training that can efficiently improve driving ability.

Means for Solving the Problems

[0005] According to one aspect of the present invention, the relationship between the brain activity value in the movement-related part, which is a part of the human brain related to movement, the brain activity value in the space recognition part, which is a part of the brain that recognizes space, and the driving ability, which is the ability of a human to operate a moving body, is stored in advance. Further, the movement-related brain activity value, which is the brain activity value in the movement-related part of the brain of a training subject who trains the driving ability of the moving body, and the space recognition brain activity value, which is the brain activity value in the space recognition part of the brain of the training subject, are acquired. In addition, according to the stored relationship, the acquired movement-related brain activity value, and the acquired space recognition brain activity value, the driving ability of the training subject, which is the ability of the training subject to operate the moving body, is determined. Then, according to the determined driving ability of the training subject, the acquired movement-related brain activity value, and the space recognition brain activity value, a driving ability training determination method and a driving ability training determination device that determine to preferentially train one of the movement-related part and the space recognition part of the training subject over the other are provided.

Effect of the Invention

[0006] According to the present invention, it is possible to efficiently improve the driving ability of a training subject who trains the driving ability of a moving body.

Brief Description of the Drawings

[0007]

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Mode for Carrying Out the Invention

[0008] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the description of the drawings, the same or similar parts are denoted by the same or similar reference numerals, and redundant descriptions are omitted. Each drawing is schematic and may include cases different from the actual ones. The embodiments shown below illustrate devices and methods for embodying the technical idea of the present invention, and the technical idea of the present invention is not limited to the devices and methods illustrated in the following embodiments. The technical idea of the present invention can be variously modified within the technical scope described in the claims.

[0009] (First Embodiment) Hereinafter, the first embodiment of the present invention will be described with reference to the drawings. [[ID=2l]](Configuration) The configuration of the flight ability training determination device 1 will be described with reference to FIG. 1. The flight ability training determination device 1 is a device for training the flight ability of a training subject who moves by flight by a crew member of a moving body such as a vehicle, a ship, an aircraft, or by remote control of an unmanned aircraft (for example, a drone). In the first embodiment, the case where the moving body is a vehicle (automobile) will be described. The flight ability training determination device 1 includes an activity value acquisition unit 10, a relationship storage unit 20, a flight ability determination unit 30, an information input unit 40, and a training determination unit 50.

[0010] <Activity value acquisition unit> The activity value acquisition unit 10 acquires the brain activity value of the training subject, and outputs brain activity value information, which is information including the acquired brain activity value, to the driving ability determination unit 30 and the training determination unit 50. The brain activity value of the training subject is at least one of the brain activity intensity and the brain activity volume of the training subject. In the first embodiment, as an example, the case where the brain activity value of the training subject is both the brain activity intensity of the training subject and the brain activity volume of the training subject will be described. To acquire the brain activity value, the brain activity acquisition unit 60 is used. The brain activity acquisition unit 60 is formed, for example, using fMRI (functional Magnetic Resonance Imaging).

[0011] When acquiring the brain activity value of the training subject, for example, first, the training subject is placed in a supine position inside the gantry of the fMRI. Next, the brain of the training subject in a resting state is scanned. At this time, the MRI measurement parameters are set, for example, in the range of 100 to 300 slices for the number of slices, and in the range of 5 ms to 30 ms for the Repetition Time (TR). Then, while the training subject is watching a video projected from below the feet using a prism glasses or the like on the head for about 1 to 5 minutes, the brain activity value is measured using fMRI. At this time, the fMRI measurement parameters are set, for example, to about 30 slices for the number of slices and about 2 ms for the TR. Also, as the video to be watched by the training subject, for example, a simple driving scene of a car or a scene where a car is driving in an urban area is used. That is, when acquiring the brain activity value of the training subject, an image of operating a moving body is presented to the training subject.

[0012] The data acquired using fMRI is processed, for example, using SPM12, which is statistical processing software operating on Matlab manufactured by Mathworks, to generate brain activity value information. Note that the image showing the structure of the brain of the training subject measured using fMRI is analyzed by the following procedure. First, for the AC-PC line, the images showing the brain structure of the training subject are aligned so as to be parallel. Next, as preprocessing, the functional brain images are corrected for position due to body movement and corrected for time. Then, the structural images and functional images of each individual are combined, and further, normalization processing is performed using the MNI standard brain. Next, smoothing processing is performed using a filter of about 6 mm. Then, for each voxel of each individual, a statistical test is performed on the blood flow model and the partial regression coefficient, and significant activity regions are extracted. After that, the images are superimposed on the MNI standard brain to identify the activity regions.

[0013] Also, the brain activity values acquired using the brain activity acquisition unit 60 are a motor-related brain activity value that is the brain activity value in the motor-related part of the training subject's brain and a spatial recognition brain activity value that is the brain activity value in the spatial recognition part of the training subject's brain. That is, the activity value acquisition unit 10 acquires a motor-related brain activity value that is the brain activity value in the motor-related part of the training subject's brain and a spatial recognition brain activity value that is the brain activity value in the spatial recognition part of the training subject's brain. Also, the activity value acquisition unit 10 acquires the motor-related brain activity value and the spatial recognition brain activity value by measuring the brain activity of the training subject presented with an image of operating a moving body.

[0014] The motor-related part is a part related to movement. Also, the motor-related part is a part that shows statistical significance in the comparison of motor-related brain activity values due to differences in manipulation ability. Furthermore, the motor-related part exists in multiple locations in the brain. In the first embodiment, as an example, a case will be described where the brain activity acquisition unit 60 acquires the motor-related brain activity value of a characteristic brain region, which is the region with the highest statistical significance among the motor-related regions existing in a plurality of locations. Further, in the first embodiment, as an example, a case will be described where the brain activity acquisition unit 60 acquires, as the motor-related brain activity value of the characteristic brain region, the motor-related brain activity value in the supplementary motor area of the brain of the training subject. Note that the level of statistical significance in the motor-related region is obtained, for example, by measuring the brain activity values in the motor-related region using fMRI for a plurality of people (for example, about 100 people) with different levels of manipulation ability and the like.

[0015] As shown in FIG. 2, the supplementary motor area is a region existing near the center of the brain when the brain is viewed from above (the brain is viewed from the top of the head toward the feet). Further, the supplementary motor area is a region in the brain where spontaneous movement, coordinated movement of the hands and feet, and processing of the order of movements are performed.

[0016] The spatial recognition region is a region that recognizes space. Further, the spatial recognition region is a region that shows statistical significance in the comparison of spatial recognition brain activity values due to differences in manipulation ability. Furthermore, the spatial recognition region exists in a plurality of locations in the brain. In the first embodiment, as an example, a case will be described where the brain activity acquisition unit 60 acquires the spatial recognition brain activity value of a characteristic brain region among the spatial recognition regions existing in a plurality of locations. Further, in the first embodiment, as an example, a case will be described where the brain activity acquisition unit 60 acquires, as the spatial recognition brain activity value of the characteristic brain region, the spatial recognition brain activity value in the superior parietal association area of the brain of the training subject. Note that the level of statistical significance in the spatial recognition region is obtained, for example, by measuring the brain activity values in the spatial recognition region using fMRI for a plurality of people (for example, about 100 people) with different levels of manipulation ability and the like.

[0017] As shown in FIG. 2, the superior parietal association area is a region existing behind the supplementary motor area and near the top of the head when the brain is viewed from above. Further, the superior parietal association area is a region in the brain where spatial grasping processing, which is a problem when training an operation of controlling a moving body, is performed.

[0018] (Reasons for obtaining the movement-related brain activity value in the supplementary motor area and the spatial recognition brain activity value in the parietal association area) Here, the reason why the brain activity acquisition unit 60 acquires the movement-related brain activity value in the supplementary motor area and the spatial recognition brain activity value in the parietal association area as the brain activity value of the training subject will be described. The inventors measured the brain activity values using fMRI while presenting a video of driving a car to three levels of drivers with different levels of driving ability. As a result, it was confirmed that there is a correlation among the driving ability, the brain activity value in the parietal association area, and the brain activity value in the supplementary motor area. The three levels are, for example, a beginner level, an intermediate level with a higher driving ability level than the beginner level, and an advanced level with a higher driving ability level than the intermediate level. Specifically, as shown in FIG. 3, it was confirmed that the beginner level has smaller brain activity values (movement-related brain activity values) in the supplementary motor area and brain activity values (spatial recognition brain activity values) in the parietal association area compared to the intermediate level. In particular, it was confirmed that there is almost no brain activity value in the supplementary motor area. Also, as shown in FIG. 3, it was confirmed that the intermediate level has larger brain activity values in the supplementary motor area and brain activity values in the parietal association area compared to the advanced level. In particular, it was confirmed that the brain activity value in the parietal association area is very large compared to the advanced level.

[0019] <Relational memory unit> The relational memory unit 20 stores, in advance as information, the relationship among the brain activity value in the movement-related part of the human brain, the brain activity value in the spatial recognition part of the human brain, and the driving ability which is the ability of a human to operate a moving body. Specifically, the relational memory unit 20 stores, as a relationship, the criterion for judging the driving ability based on the brain activity value. In the first embodiment, as an example, the case where the relational memory unit 20 stores, as information, the relationship among the brain activity intensity and brain activity volume in the movement-related part, the brain activity intensity and brain activity volume in the spatial recognition part, and the driving ability will be described. The "humans" whose relationship memory unit 20 pre-stores brain activity values and driving abilities are, for example, a plurality of humans (e.g., about 100 people) with different levels of driving ability. Also, the brain activity values pre-stored by the relationship memory unit 20 are the brain activity values in the movement-related regions and the brain activity values in the spatial recognition regions measured using fMRI for a plurality of humans.

[0020] <Driving ability determination unit> The driving ability determination unit 30 obtains, from the relationship memory unit 20, the relationships between the brain activity intensity and brain activity volume in the movement-related regions, the brain activity intensity and brain activity volume in the spatial recognition regions, and the driving ability, which are stored as information. In addition to this, the driving ability determination unit 30 refers to the movement-related brain activity value and the spatial recognition brain activity value of the training subject included in the brain activity value information input from the activity value acquisition unit 10. Then, the driving ability determination unit 30 determines the driving ability of the training subject according to the relationships stored in the relationship memory unit 20, the movement-related brain activity value acquired by the brain activity acquisition unit 60, and the spatial recognition brain activity value acquired by the brain activity acquisition unit 60. Also, the driving ability determination unit 30 outputs driving ability information, which is information including the determined driving ability, to the training determination unit 50. In the first embodiment, as an example, the case of determining the driving ability of the training subject according to the movement-related brain activity value and the spatial recognition brain activity value of the characteristic brain region acquired by the brain activity acquisition unit 60 and the relationships stored in the relationship memory unit 20 will be described. Note that the processing performed by the driving ability determination unit 30 will be described later.

[0021] <Information input unit> The information input unit 40 includes, for example, a keyboard or the like capable of inputting numerical values. Also, it is possible to input, as data, the movement-related brain activity value, the spatial recognition brain activity value, the driving history, etc. into the information input unit 40. Then, the information input unit 40 outputs external data information, which is information including the movement-related brain activity value, the spatial recognition brain activity value, the driving history, etc. input as data, to the driving ability determination unit 30. Note that in the first embodiment, as an example, the case of using the driving ability training determination device 1 without inputting data into the information input unit 40 will be described.

[0022] <Training Judgment Unit> Based on the driving ability included in the driving ability information and the exercise-related brain activity value and the spatial recognition brain activity value acquired by the brain activity acquisition unit 60, the training judgment unit 50 determines to preferentially train one of the exercise-related part and the spatial recognition part of the training subject over the other. Further, the training judgment unit 50 displays the result of determining the training to be performed on the training subject on, for example, a display or the like. Note that the processing performed by the training judgment unit 50 will be described later.

[0023] <Processing Performed by Driving Ability Judgment Unit> First, the driving ability judgment unit 30 compares the exercise-related brain activity value of the training subject included in the brain activity value information with a first exercise-related threshold value. The first exercise-related threshold value is a threshold value corresponding to the relationship between the brain activity intensity and brain activity volume in the exercise-related part and the driving ability, which is the ability of a human to drive a moving body, and is a threshold value set in advance for the exercise-related brain activity value. Note that the explanation regarding the setting of the first exercise-related threshold value will be described later. If the exercise-related brain activity value of the training subject included in the brain activity value information is less than the first exercise-related threshold value, the spatial recognition brain activity value of the training subject included in the brain activity value information is compared with a first spatial recognition threshold value. The first spatial recognition threshold value is a threshold value corresponding to the relationship between the brain activity intensity and brain activity volume in the spatial recognition part and the driving ability, which is the ability of a human to drive a moving body, and is a threshold value set in advance for the spatial recognition brain activity value. Note that the explanation regarding the setting of the first spatial recognition threshold value will be described later. If the spatial recognition brain activity value of the training subject included in the brain activity value information is less than the first spatial recognition threshold value, the driving ability of the training subject is determined to be at the "beginner level". On the other hand, if the spatial recognition brain activity value of the training subject included in the brain activity value information is equal to or greater than the first spatial recognition threshold value, the driving ability of the training subject is determined to be at an "intermediate level", which is a level between the "beginner level" and the "intermediate level".

[0024] If the exercise-related brain activity value of the training subject included in the brain activity value information is equal to or greater than the first exercise-related threshold value, the spatial recognition brain activity value of the training subject included in the brain activity value information is compared with a first spatial recognition threshold value. When the spatial recognition brain activity value of the trainee included in the brain activity value information is equal to or higher than the first spatial recognition threshold value, the driving ability of the trainee is determined to be at the "intermediate level". On the other hand, when the spatial recognition brain activity value of the trainee included in the brain activity value information is less than the first spatial recognition threshold value, the spatial recognition brain activity value of the trainee included in the brain activity value information is compared with the second spatial recognition threshold value. The second spatial recognition threshold value is a threshold value corresponding to the relationship between the brain activity intensity and brain activity volume in the spatial recognition region and the driving ability, which is the ability of a human to drive a moving body, and is a threshold value preset as a value equal to or less than the first spatial recognition threshold value. Note that the explanation regarding the setting of the second spatial recognition threshold value will be described later. And when the spatial recognition brain activity value of the trainee included in the brain activity value information is less than the second spatial recognition threshold value, it is determined that the driving ability of the trainee is at the "advanced level". On the other hand, when the spatial recognition brain activity value of the trainee included in the brain activity value information is equal to or higher than the second spatial recognition threshold value, the driving ability of the trainee is determined to be at the "intermediate level".

[0025] <Processing performed by the training determination unit 50> When the driving ability included in the driving ability information is at the "beginner level", the training determination unit 50 determines that the spatial recognition region of the trainee is preferentially trained over the movement-related region until the spatial recognition brain activity value of the trainee included in the brain activity value information becomes equal to or higher than the first spatial recognition threshold value. When the driving ability included in the driving ability information is at the "intermediate level", the training determination unit 50 determines that the movement-related region of the trainee is preferentially trained over the spatial recognition region until the movement-related brain activity value of the trainee included in the brain activity value information becomes equal to or higher than the first movement-related threshold value. When the driving ability included in the driving ability information is at the "intermediate level", the training determination unit 50 determines that the spatial recognition region of the trainee is preferentially trained over the movement-related region until the spatial recognition brain activity value of the trainee included in the brain activity value information becomes less than the second spatial recognition threshold value. When the driving ability included in the driving ability information is already at the advanced level, the training determination unit 50 determines that training of the trainee is unnecessary.

[0026] As described above, in the first embodiment, the moving body is a vehicle (automobile). Therefore, in the first embodiment, when the configuration of the training determination unit 50 is determined such that the space recognition part is trained mainly through training by driving an actual vehicle and the motion-related part is trained mainly through training using a driving simulator, this will be described. Training mainly through driving an actual vehicle to train the space recognition part is, for example, training in which a training subject is made to drive an actual vehicle on a road where obstacles exist so as not to contact the obstacles. Note that as the obstacles, for example, curbs forming the edge of the road or pylons installed for training on the road can be used. Also, training mainly through a driving simulator to train the motion-related part is, for example, training in which a training subject is made to drive on a virtual course where operations of the accelerator, brake, steering, and gear shift such as sudden acceleration, sudden braking, and sudden turning are carried out. Thereby, in the training mainly through a driving simulator, sensitive operations related to the driving of the vehicle are repeatedly carried out.

[0027] <Setting of the motion-related first threshold value, the space recognition first threshold value, and the space recognition second threshold value> When setting the motion-related first threshold value and the space recognition first threshold value, first, the driving ability of a plurality of people (for example, about 100 people) is measured in advance, and according to the measured driving ability, the plurality of people are classified into levels of driving ability. At this time, the levels of driving ability are classified, for example, into three levels: a beginner level, an intermediate level, and an intermediate-advanced level. Further, for each of the three levels, the motion-related brain activity value and the space recognition brain activity value are measured and analyzed respectively. Thereby, the motion-related first threshold value and the space recognition first threshold value are set as the threshold values for distinguishing between the beginner level and the intermediate level and the threshold values for distinguishing between the intermediate level and the intermediate-advanced level.

[0028] When setting the first exercise-related threshold and the first spatial recognition threshold, in addition to the method of analyzing the measured exercise-related brain activity value and spatial recognition brain activity value, a database storing the measured driving ability may be referred to to set the first exercise-related threshold and the first spatial recognition threshold. When setting the second spatial recognition threshold, for example, in addition to the beginner level, intermediate level, and advanced level, the levels are divided into four levels: beginner level, intermediate level, advanced level, and expert level. Further, for each of the four levels, the exercise-related brain activity value and the spatial recognition brain activity value are measured and analyzed respectively. Thereby, the first exercise-related threshold and the second spatial recognition threshold are set as thresholds for distinguishing the intermediate level and the expert level. Note that the second spatial recognition threshold may be set to the same value as the first spatial recognition threshold as needed.

[0029] (Motion) Next, with reference to FIGS. 1 to 3 and using FIGS. 4 to 6, an example of a driving ability training determination method performed using the driving ability training determination device 1 will be described. In the driving ability training determination method, as shown in FIG. 4, first, in step S10, an image of operating a moving body is presented to a training subject placed in a supine position inside the fMRI gantry. In step S20, the brain activity acquisition unit 60 measures, as the brain activity value of the training subject, the exercise-related brain activity value in the supplementary motor area and the spatial recognition brain activity value in the parietal association area. In step S30, the brain activity acquisition unit 60 acquires, as the exercise-related brain activity value of the characteristic brain region, the exercise-related brain activity value in the supplementary motor area of the brain of the training subject. In step S40, the brain activity acquisition unit 60 acquires, as the spatial recognition brain activity value of the characteristic brain region, the spatial recognition brain activity value in the parietal association area of the brain of the training subject.

[0030] In step S50, the driving ability determination unit 30 determines the driving ability of the training subject. Note that the detailed processing in step S50 will be described later. In step S60, the training determination unit 50 determines to preferentially train one of the exercise-related part and the spatial recognition part of the training subject over the other. Note that the detailed processing in step S60 will be described later.

[0031] (Detailed processing in step S50) In step S50, as shown in FIG. 5, first, in step S51, the maneuverability determination unit 30 determines whether the exercise-related brain activity value A of the training subject included in the brain activity value information is less than the first exercise-related threshold value a1. When it is determined that the exercise-related brain activity value A is less than the first exercise-related threshold value a1 (step S51: Yes), the process proceeds to step S52. On the other hand, when it is determined that the exercise-related brain activity value A is greater than or equal to the first exercise-related threshold value a1 (step S51: No), the process proceeds to step S53. Note that "A" is the exercise-related brain activity value of the training subject included in the brain activity value information and is also the exercise-related brain activity value acquired from the training subject. Also, "a1" is the first exercise-related threshold value and is a threshold value preset for "A". In step S52, the maneuverability determination unit 30 determines whether the spatial recognition brain activity value B of the training subject included in the brain activity value information is less than the first spatial recognition threshold value b1. When it is determined that the spatial recognition brain activity value B is less than the first spatial recognition threshold value b1 (step S52: Yes), the process proceeds to step S61. On the other hand, when it is determined that the spatial recognition brain activity value B is greater than or equal to the first spatial recognition threshold value b1 (step S52: No), the process proceeds to step S62. Note that "B" is the spatial recognition brain activity value of the training subject included in the brain activity value information and is also the spatial recognition brain activity value acquired from the training subject. Also, "b1" is the first spatial recognition threshold value and is a threshold value preset for "B".

[0032] In step S53, the maneuverability determination unit 30 determines whether the spatial recognition brain activity value B is greater than or equal to the first spatial recognition threshold value b1. When it is determined that the spatial recognition brain activity value B is greater than or equal to the first spatial recognition threshold value b1 (step S53: Yes), the process proceeds to step S63. On the other hand, when it is determined that the spatial recognition brain activity value B is less than the first spatial recognition threshold value b1 (step S53: No), the process proceeds to step S54. In step S54, the driving ability determination unit 30 determines whether the spatial recognition brain activity value B is less than the second spatial recognition threshold value b2. If it is determined that the spatial recognition brain activity value B is less than the second spatial recognition threshold value b2 (step S54: Yes), the process proceeds to step S64. On the other hand, if it is determined that the spatial recognition brain activity value B is greater than or equal to the second spatial recognition threshold value b2 (step S54: No), the process proceeds to step S65. Note that "b2" is the second spatial recognition threshold value and is a threshold value set in advance as a value less than or equal to the first spatial recognition threshold value b1 with respect to "B".

[0033] (Detailed processing in step S60) In step S60, depending on the result of the process performed in step S50, as shown in FIG. 5, one of the processes from step S61 to step S65 is performed. In step S61, the training determination unit 50 determines to preferentially train the spatial recognition part of the training subject over the movement-related part until the spatial recognition brain activity value B becomes greater than or equal to the first spatial recognition threshold value b1. Thus, in step S61, the training determination unit 50 determines to preferentially train the spatial recognition part over the movement-related part for a training subject at the beginner level.

[0034] When preferentially training the spatial recognition part over the movement-related part for a training subject at the beginner level, the brain activity of the training subject transitions, for example, from the state shown in FIG. 6(a) to the state shown in FIG. 6(b). Specifically, by preferentially training the spatial recognition part over the movement-related part, the brain activity value in the parietal association area increases. In step S62, the training determination unit 50 determines to preferentially train the movement-related part of the training subject over the spatial recognition part until the movement-related brain activity value A becomes greater than or equal to the first movement-related threshold value a1. Thus, in step S62, the training determination unit 50 determines to preferentially train the movement-related part over the spatial recognition part for a training subject at the intermediate level.

[0035] When training intermediate-level trainees, if the movement-related parts are trained preferentially over the spatial recognition parts, the brain activity of the trainees will transition from the state shown in, for example, Fig. 6(b) to the state shown in Fig. 6(c). Specifically, by training the movement-related parts preferentially over the spatial recognition parts, the brain activity value in the supplementary association area increases while maintaining the brain activity value in the parietal association area. In step S63, the training determination unit 50 determines to preferentially train the spatial recognition part of the trainee over the movement-related part until the spatial recognition brain activity value B is less than the second spatial recognition threshold b2. As a result, in step S63, the training determination unit 50 determines to preferentially train the spatial recognition part over the movement-related part for intermediate-level trainees.

[0036] When training intermediate-level trainees, if the spatial recognition part is trained preferentially over the movement-related part, the brain activity of the trainees will transition from the state shown in, for example, Fig. 6(c) to the state shown in Fig. 6(d). Specifically, by training the spatial recognition part preferentially over the movement-related part, the brain activity value in the parietal association area decreases. This is due to the fact that when the same part of the brain is repeatedly trained, the repeatedly trained part of the brain is used more efficiently, resulting in a decrease in the brain activity value in the repeatedly trained part of the brain. For example, it has been confirmed that the brain activity value in the supplementary motor area decreases for athletes who have performed long-term repetitive training because the brain activity in the supplementary motor area is performed efficiently. Therefore, athletes with high sports ability who have performed long-term repetitive training can perform the same movement with less brain activity compared to athletes with low sports ability due to the decrease in the brain activity value in the repeatedly trained part of the brain.

[0037] In step S64, the training determination unit 50 determines that training for the training subject is unnecessary. As a result, in step S64, the training determination unit 50 determines that training for the training subject, who is already at the advanced level, is unnecessary. The brain activity of the training subject at the advanced level is, for example, as shown in FIG. 6(d), brain activity in which both the brain activity value in the supplementary association area and the brain activity value in the parietal association area are small. In step S65, the training determination unit 50 determines to preferentially train the movement-related part of the training subject over the spatial recognition part until the spatial recognition brain activity value B becomes less than the second spatial recognition threshold value b2. As a result, in step S65, the training determination unit 50 determines to preferentially train the movement-related part of the training subject at the intermediate level over the spatial recognition part.

[0038] (Effect of the First Embodiment) (1) According to the determined driving ability of the training subject, it is possible to preferentially train the part related to the ability necessary to improve the driving ability among the movement-related part or the spatial recognition part of the training subject over other parts. As a result, it is possible to identify the difference in brain activity values depending on the level of driving ability, and to determine the content of training according to the identified difference in brain activity values. Therefore, it is possible to provide a driving ability training determination method capable of efficiently improving the driving ability of the training subject. In addition, it is possible to provide a driving ability training determination device 1 capable of efficiently improving the driving ability of the training subject.

[0039] (2) By setting the threshold value a1 for the movement-related brain activity value A and the threshold values b1 and b2 for the spatial recognition brain activity value B, and comparing the set threshold values with the brain activity values, the part to be trained for improving the driving ability at the time when the brain activity value is obtained becomes clear. As a result, it is possible to determine a training method for efficiently improving the driving ability of the training subject.

[0040] (3) By presenting an image of operation (driving) to the training subject, it becomes possible to obtain the motor-related brain activity value and the spatial recognition brain activity value related to the operation ability, and it becomes possible to improve the accuracy of determining the method of training the operation ability.

[0041] (4) By using the motor-related brain activity value and the spatial recognition brain activity value of the part with the highest superiority with respect to the operation ability of the moving body, it becomes possible to determine the operation ability of the training subject, and it becomes possible to improve the accuracy of determining the method of training the operation ability.

[0042] (5) By limiting the area for obtaining the brain activity value to the supplementary motor area and the parietal association area, which are areas related to the operation of the moving body, it becomes possible to improve the accuracy of determining the method of training the operation ability.

[0043] (6) As the brain activity value of the training subject, by measuring the brain activity intensity and the brain activity volume, it becomes possible to clarify the part to be trained in order to improve the operation ability of the moving body at the time when the brain activity value is obtained. Also, compared with the case where the brain activity value is only one of the brain activity intensity or the brain activity volume of the training subject, it becomes possible to improve the accuracy of determining the operation ability and the accuracy of determining the method of training the operation ability.

[0044] (7) As a method of training the spatial recognition part, use training mainly based on the operation of an actual vehicle, which is training that enables awareness of spatial recognition. Also, the method of training the motor-related part is training mainly based on a driving simulator, which is training that enables awareness of the operations in vehicle driving. As a result, it becomes possible to determine a training method for operation ability that can efficiently train the ability to drive a vehicle.

[0045] (Modification of the First Embodiment) (1) It may be configured to obtain the movement-related brain activity values of the movement-related parts existing in a plurality of locations respectively, and to obtain the spatial recognition brain activity values of the spatial recognition parts existing in a plurality of locations respectively. In this case, further, according to the total value of the values obtained by multiplying the obtained plurality of movement-related brain activity values by the movement-related weight coefficients, the total value of the values obtained by multiplying the obtained plurality of spatial recognition brain activity values by the spatial recognition weight coefficients, and the stored relationship, a configuration is adopted to determine the driving ability of the training subject.

[0046] The movement-related weight coefficient is a weight coefficient set in advance according to the movement-related brain activity value. Specifically, if the total value of the movement-related brain activity values is set as "X", and the individual values of the movement-related parts existing in a plurality of locations are set as "Xn (n = 1, 2,..., n)", the movement-related weight coefficient can be expressed as "Wan (n = 1, 2,..., n)". Then, the total value XA of the values obtained by multiplying the obtained plurality of movement-related brain activity values by the movement-related weight coefficients is calculated by the following formula (1). XA = Wa1×X1 + Wa2×X2 + Wa3×X3…Wan×Xn … (1)

[0047] The spatial recognition weight coefficient is a weight coefficient set in advance according to the spatial recognition brain activity value. Specifically, if the total value of the spatial recognition brain activity values is set as "Y", and the individual values of the spatial recognition brain activity values existing in a plurality of locations are set as "Yn (n = 1, 2,..., n)", the spatial recognition weight coefficient can be expressed as "Wbn (n = 1, 2,..., n)". Then, the total value YB of the values obtained by multiplying the obtained plurality of spatial recognition brain activity values by the spatial recognition weight coefficients is calculated by the following formula (2). YB = Wb1×Y1 + Wb2×Y2 + Wb3×Y3…Wbn×Yn … (2)

[0048] With this configuration, it is possible to use the total value of the weighted values of a plurality of brain activity values that are dominant for the driving ability of the moving body as representative values of the movement-related brain activity values and the spatial recognition brain activity values. As a result, it is possible to improve the accuracy of determining the driving ability and the accuracy of determining the method of training the driving ability.

[0049] (2) It may be configured such that the movement-related brain activity value and the spatial recognition brain activity value of the training subject are input as data to the information input unit 40 from the outside of the driving ability training determination device 1. In addition to this, instead of the movement-related brain activity value and the spatial recognition brain activity value obtained from the training subject, it may be configured to determine the driving ability of the training subject using the movement-related brain activity value and the spatial recognition brain activity value input as data. Note that, as the movement-related brain activity value and the spatial recognition brain activity value input as data, for example, values obtained from the training subject in the past may be used, or values obtained from a person with a similar driving ability may be used. Furthermore, values obtained by correcting the values obtained from the training subject in the past to reflect the passage of time may be used. With this configuration, by acquiring the brain activity value of the training subject from the data input from the outside, it is not necessary to measure the brain activity value, so it is possible to shorten the time for determining the driving ability and the time for determining the method of training the driving ability.

[0050] (3) The brain activity value may be the brain activity intensity or the brain activity volume of the training subject. (4) The moving body may be a motorcycle, a ship, a manned aircraft, an unmanned aircraft (unmanned flying body), etc.

[0051] (Second Embodiment) Hereinafter, the second embodiment of the present invention will be described with reference to the drawings. (Configuration) With reference to FIGS. 1 to 6, the configuration of the second embodiment will be described. In the drawings and the following description, the same components as those in the first embodiment described above are denoted by the same reference numerals. Also, in the following description, the description of the same components as those in the first embodiment described above may be omitted. The driving ability training determination device 1 of the second embodiment is the same as the first embodiment described above except for the processing performed by the training determination unit 50. Therefore, the description of the configuration of the activity value acquisition unit 10, the relational memory unit 20, the driving ability determination unit 30, and the information input unit 40 will be omitted.

[0052] <Processing performed by the training determination unit 50> When the driving ability included in the driving ability information is at the "beginner level", "intermediate level", "intermediate level", or "advanced level", the processing performed by the training determination unit 50 is the same as that in the first embodiment described above, and thus the description is omitted. When the driving ability included in the driving ability information is at the advanced level, the training determination unit 50 determines that the movement-related body part of the training target person is preferentially trained over the spatial recognition part until the movement-related brain activity value of the training target person included in the brain activity value information is less than the second movement-related threshold value. The second movement-related threshold value is a threshold value preset according to the relationship between the brain activity intensity and volume in the movement-related part and the driving ability, which is the ability of a person to operate a moving object, and it can be any value greater than the first movement-related threshold value, less than the first movement-related threshold value, or equal to the first movement-related threshold value. Also, when setting the second movement-related threshold value, for example, in addition to the beginner level, intermediate level, and intermediate level, the levels are divided into five levels: advanced level and more ideal level. Further, for each of the five levels, the movement-related brain activity value and the spatial recognition brain activity value are measured and analyzed respectively. Thereby, the second movement-related threshold value and the second spatial recognition threshold value are set as the threshold values for distinguishing the advanced level and the ideal level.

[0053] (Operation) With reference to FIGS. 1 to 6 and using FIG. 7, an example of the driving ability training determination method performed using the driving ability training determination device 1 will be described. The driving ability training determination method of the second embodiment is the same as the first embodiment described above except for the detailed processing in step S50 and the detailed processing in step S60. Therefore, in the following description, the detailed processing in step S50 and the detailed processing in step S60 will be described.

[0054] (Detailed processing in step S50) In step S50, as shown in FIG. 7, any one of the processes from step S51 to step S54 is performed. Note that the processes in steps S51 to S53 are the same as those in the first embodiment described above, and thus the description is omitted. In step S54, the flight ability determination unit 30 determines whether the spatial recognition brain activity value B is less than the second spatial recognition threshold value b2. When it is determined that the spatial recognition brain activity value B is less than the second spatial recognition threshold value b2 (step S54: Yes), the process proceeds to step S66. On the other hand, when it is determined that the spatial recognition brain activity value B is greater than or equal to the second spatial recognition threshold value b2 (step S54: No), the process proceeds to step S65.

[0055] (Detailed processing in step S60) In step S60, based on the result of the process performed in step S50, as shown in FIG. 7, one of the processes from step S61 to step S63 and from step S65 to step S66 is performed. Note that the processes from step S61 to step S63 and step S65 are the same as those in the first embodiment described above, and thus the description thereof is omitted.

[0056] In step S66, the training determination unit 50 determines to preferentially train the movement-related part of the training subject over the spatial recognition part until the movement-related brain activity value A becomes less than the second movement-related threshold value a2. As a result, in step S66, the training determination unit 50 determines to preferentially train the movement-related part over the spatial recognition part for a training subject with a high-level flight ability. When the movement-related part is preferentially trained over the spatial recognition part for a training subject with a high-level flight ability, the brain activity value in the supplementary association area decreases.

[0057] (Effects of the second embodiment) (1) In addition to the threshold value a1 related to the movement-related brain activity value A, the threshold values b1 and b2 related to the spatial recognition brain activity value B, a threshold value a2 related to the movement-related brain activity value A is further set, and the set threshold values are compared with the brain activity values. As a result, for a training subject who has already reached the advanced level, the part to be trained for improving the flight ability to an ideal state at the time when the brain activity value is obtained becomes clear. As a result, it becomes possible to determine a training method for efficiently improving the flight ability of a training subject who has already reached the advanced level.

[0058] (Third Embodiment) Hereinafter, the third embodiment of the present invention will be described with reference to the drawings. (Configuration) With reference to FIGS. 1 to 7, the configuration of the third embodiment will be described. In the drawings and the following description, the same components as those in the above-described first embodiment are denoted by the same reference numerals. In the following description, the description of the same components as those in the above-described first embodiment may be omitted. The driving ability training determination device 1 of the third embodiment is the same as that of the first embodiment described above, except for the processing performed by the driving ability determination unit 30. Therefore, the description of the configuration of the activity value acquisition unit 10, the relationship storage unit 20, the information input unit 40, and the training determination unit 50 will be omitted.

[0059] <Driving Ability Determination Unit> The driving ability determination unit 30 acquires, from the relationship storage unit 20, the relationships between the brain activity intensity and brain activity volume in the movement-related parts, the brain activity intensity and brain activity volume in the spatial recognition part, and the driving ability, which are stored as information. In addition to this, the driving ability determination unit 30 refers to the movement-related brain activity value and the spatial recognition brain activity value of the training subject included in the brain activity value information input from the activity value acquisition unit 10. Further, the driving ability determination unit 30 acquires the driving history of the training subject operating a moving body in the past. The driving history is acquired by receiving an input from the information input unit 40.

[0060] Then, the driving ability determination unit 30 determines the driving ability of the training subject according to the relationships stored in the relationship storage unit 20, the movement-related brain activity value acquired by the brain activity acquisition unit 60, and the spatial recognition brain activity value acquired by the brain activity acquisition unit 60. In addition to this, the driving ability determination unit 30 determines whether the level of the driving ability of the training subject is a level that requires driving ability training or a level that does not require driving ability training according to the acquired driving history.

[0061] Furthermore, when the driving ability determination unit 30 determines that the level requires training, it determines the driving ability of the trainee. When it determines that the level does not require training, it determines that the training of the trainee is unnecessary. In addition, the process of determining the driving ability of the trainee when the driving ability determination unit 30 determines that the level requires training is the same as that in the first embodiment described above. The process performed by the driving ability determination unit 30 will be described later.

[0062] <Processing performed by the driving ability determination unit> First, the driving ability determination unit 30 compares the exercise-related brain activity value of the trainee included in the brain activity value information with the first exercise-related threshold value. Then, when the exercise-related brain activity value of the trainee included in the brain activity value information is less than the first exercise-related threshold value, the driving ability determination unit 30 compares the spatial recognition brain activity value of the trainee included in the brain activity value information with the first spatial recognition threshold value. When the spatial recognition brain activity value of the trainee included in the brain activity value information is less than the first spatial recognition threshold value, the obtained driving history is compared with a preset driving history threshold value. The driving history is, for example, information such as the elapsed time since obtaining the license, the annual driving distance and driving time, and the possession of a license indicating driving ability. The driving history threshold value is set as follows, for example. In advance, the driving ability (driving ability) of a moving body is measured for a plurality of people (for example, about 100 people), and according to the measured driving ability, the plurality of people are classified into levels of driving ability. At this time, the levels of driving ability are classified, for example, into two levels: a beginner level and an advanced level. Further, for each of the two levels, driving history information is obtained, the obtained driving history information is analyzed, and the driving history corresponding to the boundary between the beginner level and the advanced level is determined and used as the driving history threshold value. When the acquired operation history exceeds the operation history threshold value, it is determined that the level of the operation ability of the trainee corresponds to the advanced level, and it is determined that the level is one where operation ability training is unnecessary. On the other hand, when the acquired operation history is equal to or less than the operation history threshold value, it is determined that the level of the operation ability of the trainee corresponds to the beginner level, and it is determined that the level is one where operation ability training is necessary. When it is determined that the level of the operation ability of the trainee is a level where operation ability training is necessary, the same processing as in the first embodiment described above is performed.

[0063] (Operation) Next, with reference to FIGS. 1 to 7 and using FIGS. 8 and 9, an example of an operation ability training determination method performed using the operation ability training determination apparatus 1 will be described. In the operation ability training determination method, as shown in FIG. 8, first, in step S70, the operation ability determination unit 30 acquires the operation history of the trainee using the information input from the information input unit 40. Next, the same processing as in steps S10 to S40 of the first embodiment described above is performed.

[0064] Thereafter, in step S80, the operation ability determination unit 30 determines whether the level of the operation ability of the trainee is a level where operation ability training is necessary or a level where operation ability training is unnecessary according to the operation history acquired in step S70. Note that the detailed processing in step S80 will be described later. When it is determined in step S80 that the level of the operation ability of the trainee is a level where operation ability training is necessary, in step S60, the training determination unit 50 determines to preferentially train one of the movement-related part and the space recognition part of the trainee over the other. Note that the processing in step S60 is the same as that in the first embodiment described above.

[0065] (Detailed processing in step S80) In step S80, as shown in FIG. 9, first, in step S81, the maneuverability determination unit 30 determines whether the exercise-related brain activity value A of the training subject included in the brain activity value information is less than the first exercise-related threshold value a1. When it is determined that the exercise-related brain activity value A is less than the first exercise-related threshold value a1 (step S81: Yes), the process proceeds to step S82. On the other hand, when it is determined that the exercise-related brain activity value A is greater than or equal to the first exercise-related threshold value a1 (step S81: No), the process proceeds to step S86. In step S82, the maneuverability determination unit 30 determines whether the spatial recognition brain activity value B of the training subject included in the brain activity value information is less than the first spatial recognition threshold value b1. When it is determined that the spatial recognition brain activity value B is less than the first spatial recognition threshold value b1 (step S82: Yes), the process proceeds to step S83. On the other hand, when it is determined that the spatial recognition brain activity value B is greater than or equal to the first spatial recognition threshold value b1 (step S82: No), the process proceeds to step S86.

[0066] In step S83, the maneuverability determination unit 30 determines whether the operation history acquired in step S70 exceeds the operation history threshold value. That is, in step S83, it is determined whether the operation history of the training subject acquired in step S70 is longer than the operation history threshold value. When it is determined that the operation history acquired in step S70 exceeds the operation history threshold value (step S83: Yes), the process proceeds to step S84. On the other hand, when it is determined that the operation history acquired in step S70 is less than or equal to the operation history threshold value (step S83: No), the process proceeds to step S86. In step S84, the maneuverability determination unit 30 determines that the level of the maneuverability of the training subject corresponds to the advanced level and that the training of the maneuverability is not required.

[0067] In step S85, the maneuverability determination unit 30 outputs the result of determining that the training of the maneuverability is not required to the training determination unit 50. In step S86, the flight ability determination unit 30 determines that the level of the flight ability of the training subject corresponds to the level that requires flight ability training, and determines that it is the level that requires flight ability training. In step S87, the flight ability determination unit 30 proceeds to the process of determining the flight ability. Note that the process performed in step S87 is the same as the process of step S50 described above.

[0068] (Effects of the Third Embodiment) (1) For example, when the exercise-related brain activity value or the spatial recognition brain activity value is small, it becomes possible to determine whether the level of the flight ability of the training subject is a level that requires training or a level that does not require training using the acquired flight history.

[0069] (Other Embodiments) As described above, embodiments of the present invention have been described. However, the discussion and drawings that form part of this disclosure should not be understood to limit the present invention. From this disclosure, various alternative embodiments, examples, and operation techniques will become apparent to those skilled in the art. In addition, the present invention naturally includes various embodiments not described herein, such as configurations in which each configuration described in the above embodiments is arbitrarily applied. Therefore, the technical scope of the present invention is defined only by the invention-specific matters according to the appropriate claims based on the above description.

Description of Reference Numerals

[0070] 1... Flight ability training determination device, 10... Activity value acquisition unit, 20... Relationship storage unit, 30... Flight ability determination unit, 40... Information input unit, 50... Training determination unit, 60... Brain activity acquisition unit

Claims

1. Previously store the relationship between the brain activity value in the motor-related part, which is a part related to movement in the human brain, and the ability of the human to perform operations related to vehicle driving, and the relationship between the brain activity value in the spatial recognition part, which is a part of the brain that recognizes space, and the ability of the human to drive an actual vehicle without contacting an obstacle on a road where the obstacle exists. Present an image of operating the vehicle to a training subject who is to train the vehicle operating ability. By measuring the brain activity value of the training subject presented with the image in a state where the training subject does not perform movement, obtain the motor-related brain activity value, which is the brain activity value in the motor-related part of the brain of the training subject who trains the vehicle operating ability, and the spatial recognition brain activity value, which is the brain activity value in the spatial recognition part of the brain of the training subject. According to the stored relationship, the magnitude of the obtained motor-related brain activity value, and the magnitude of the obtained spatial recognition brain activity value, determine the level of the vehicle operating ability classified for the training subject. A method for determining vehicle operating ability training, which determines to preferentially train one of the motor-related part and the spatial recognition part of the training subject over the other of the motor-related part and the spatial recognition part of the training subject so that the operating ability of the training subject reaches a higher level according to the determined ability, the obtained motor-related brain activity value, and the obtained spatial recognition brain activity value.

2. When the obtained motor-related brain activity value is designated as A, the obtained spatial recognition brain activity value is designated as B, the preset threshold value for A is designated as a1, the preset threshold value for B is designated as b1, and the preset threshold value for B as a value less than or equal to b1 is designated as b2. If A < a1 and B < b1, it is determined to preferentially train the spatial recognition brain activity value until B ≥ b1. If A < a1 and B ≥ b1, it is determined to preferentially train the motor-related brain activity value until A ≥ a1. The method for determining vehicle operating ability training according to Claim 1, wherein if A ≥ a1 and B ≥ b1, it is determined to preferentially train the spatial recognition brain activity value until B, which was greater than or equal to b1, decreases to B < b2.

3. When the preset threshold value for A is designated as a2. The driving ability training determination method according to claim 2, wherein when B, which was b1 or more, decreases from the state where A≥a1 and B≥b1 and shifts to the state where B<b2, it is determined that the movement-related part is preferentially trained until A, which was a1 or more, decreases to A<a2.

4. For the training subject, at least according to the magnitude of the movement-related brain activity value, there are at least three levels: a beginner level, an intermediate level with a higher ability to perform sensitive operations related to driving the vehicle than the beginner level, and an advanced level with a higher ability to perform sensitive operations than the intermediate level. And according to the magnitude of the spatial recognition brain activity value, there are at least three levels: a beginner level, an intermediate level with a higher ability to drive without contacting the obstacle than the beginner level, and an advanced level with a higher ability to drive without contacting the obstacle than the intermediate level. By determining these two sets of abilities, the level of the driving ability of the classified vehicle is determined according to any one of claims 1 to 3 of the driving ability training determination method.

5. The movement-related part shows statistical significance in the comparison of the movement-related brain activity values due to differences in the driving ability, and exists in multiple locations in the brain. The spatial recognition part shows statistical significance in the comparison of the spatial recognition brain activity values due to differences in the driving ability, and exists in multiple locations in the brain. Among the movement-related parts existing in the multiple locations, the movement-related brain activity value of the characteristic brain part, which is the part with the highest statistical significance, is obtained. Among the spatial recognition parts existing in the multiple locations, the spatial recognition brain activity value of the characteristic brain part is obtained. According to the obtained movement-related brain activity value of the characteristic brain part, the obtained spatial recognition brain activity value of the characteristic brain part, and the stored relationship, the driving ability of the training subject is determined according to any one of claims 1 to 4 of the driving ability training determination method.

6. As the movement-related brain activity value of the characteristic brain part, the movement-related brain activity value in the supplementary motor area of the brain of the training subject is obtained. The driving ability training determination method according to claim 5, wherein as the spatial recognition brain activity value of the characteristic brain part, the spatial recognition brain activity value in the parietal association area of the brain of the training subject is obtained.

7. The movement-related parts show statistical significance in the comparison of the movement-related brain activity values due to the difference in the driving ability, and are present in multiple locations in the brain. The spatial recognition parts show statistical significance in the comparison of the spatial recognition brain activity values due to the difference in the driving ability, and are present in multiple locations in the brain. Obtain the movement-related brain activity values of the movement-related parts present in the multiple locations and the spatial recognition brain activity values of the spatial recognition parts present in the multiple locations, respectively. The method for determining the driving ability of the training subject according to any one of claims 1 to 4, wherein a total value of values obtained by multiplying the obtained multiple movement-related brain activity values by a movement-related weight coefficient, which is a weight coefficient set in advance according to the movement-related brain activity values, and a total value of values obtained by multiplying the obtained multiple spatial recognition brain activity values by a spatial recognition weight coefficient, which is a weight coefficient set in advance according to the spatial recognition brain activity values, are used to determine the driving ability of the training subject according to the stored relationship.

8. Obtain the driving history of the vehicle operated by the training subject in the past. Determine whether the level of the driving ability of the training subject is a level that requires training or a level that does not require training according to the obtained driving history. The method for determining the driving ability training according to any one of claims 1 to 7, wherein when it is determined that the level requires training, the driving ability of the training subject is determined, and when it is determined that the level does not require training, it is determined that the training of the training subject is not required.

9. The method for determining the driving ability training according to any one of claims 1 to 8, wherein the brain activity value is at least one of the brain activity intensity and the brain activity volume of the training subject.

10. The method for determining the driving ability training according to any one of claims 1 to 9, wherein it is determined to train the spatial recognition parts mainly through training by driving a real vehicle, and it is determined to train the movement-related parts mainly through training using a driving simulator.

11. Instead of the movement-related brain activity values and the spatial recognition brain activity values obtained from the training subject, the movement-related brain activity values and the spatial recognition brain activity values input as data from the outside are used to determine the driving ability, which is the ability of the training subject to operate the vehicle. The method for determining the driving ability training according to any one of claims 1 to 10.

12. A relational memory unit that pre-stores, as information, the relationship between the brain activity value in the motor-related part, which is the part of the human brain related to movement, and the ability of the human to perform operations related to vehicle driving, and the relationship between the brain activity value in the spatial recognition part, which is the part of the brain that recognizes space, and the ability of the human to drive an actual vehicle without contacting an obstacle on a road where the obstacle exists. An activity value acquisition unit that measures, in a state where the training subject does not perform movement, the brain activity value in the motor-related part of the brain of the training subject who trains the driving ability of the vehicle, by presenting an image of operating the vehicle, and obtains the motor-related brain activity value, which is the brain activity value in the motor-related part of the brain of the training subject, and the spatial recognition brain activity value, which is the brain activity value in the spatial recognition part of the brain of the training subject. An operation ability determination unit that determines the level of the driving ability of the vehicle classified for the training subject according to the stored relationship, the magnitude of the obtained motor-related brain activity value, and the magnitude of the obtained spatial recognition brain activity value. A driving ability training determination device comprising: a training determination unit that determines to preferentially train one of the motor-related part and the spatial recognition part of the training subject over the other of the motor-related part and the spatial recognition part of the training subject so that the driving ability of the training subject reaches a higher level according to the determined ability, the obtained motor-related brain activity value, and the obtained spatial recognition brain activity value.

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