JP6575261B2 - Support apparatus and support method - Google Patents

Description

  The present invention relates to a support device that supports control of an automatic function device that automatically operates various types of operations, and a support method.

  As an automatic driving device for automatically driving a vehicle, for example, one disclosed in Patent Document 1 is known. In this patent document 1, when overriding from automatic operation to manual operation, a technique for smoothly switching without a sense of incongruity is disclosed.

JP 2012-51441 A

  However, the conventional example disclosed in Patent Document 1 described above is a content that is overridden based on an operation by the driver (target person), and cannot perform support control suitable for the operation feeling of the target person. was there.

  The present invention has been made to solve such a conventional problem, and an object of the present invention is to provide a support device and a support capable of outputting a support command suitable for an operation feeling of a subject. It is to provide a method.

In order to achieve the above object, a support device according to an aspect of the present invention includes a biological information analysis unit that analyzes biological information of a subject, an operation type determination unit that determines an operation type by the subject, and each subject The operation action storage unit stores action data indicating the relationship between each operation type and the subject operation timing that is the operation timing. Furthermore, based on the analysis result of the subject's behavior data and biological information, the subject operation timing prediction unit for predicting the subject operation timing of the operation type by the subject, and the automatic operation timing by the automatic function of the operation type. When calculating the time difference between the automatic operation timing and the target person operation timing, and when this time difference is equal to or less than the sensitivity time determined for each target person, And an automatic function control unit that calculates the operation timing based on the subject operation timing and the sensitivity time when the time difference exceeds the sensitivity time .

Further, the support method according to one aspect includes a step in which the biological information analysis unit analyzes the biological information of the target person, a step in which the operation type determination unit determines the operation type by the target person, and an operation behavior storage unit. For each subject, a step of storing behavior data indicating a relationship between each operation type and the subject operation timing that is the operation timing is provided. Furthermore, the timing predicting unit predicts the subject operation timing of the operation type by the subject based on the analysis result of the subject's behavior data and biological information, and the automatic function control unit is based on the automatic function of the operation type. When the automatic operation timing is calculated and the time difference between the automatic operation timing and the target person operation timing is calculated, and this time difference is less than the sensitivity time determined for each target person, the automatic operation timing is set as the operation type. It calculates as an operation timing at the time of automatic operation, and when the time difference exceeds the sensitivity time, the operation timing is calculated based on the subject operation timing and the sensitivity time .

  According to the support device and the support method according to the present invention, the operation type and operation timing are predicted based on the biological information of the target person, and based on these, a support command is output to the automatic controller. It is possible to output a support command suitable for the operation feeling.

It is a block diagram which shows the structure of the support apparatus which concerns on embodiment of this invention, and its peripheral device. It is a flowchart which shows the process sequence of the support apparatus which concerns on embodiment of this invention. It is a timing chart which shows subject person operation timing and automatic operation timing, (a) shows the case where T1 <T3a, (b) shows the case where T1> T3b. It is explanatory drawing which shows a 1st driving example, (a) when driving | operating by manual operation, (b) when the conventional preceding driving assistance system is employ | adopted, (c) is the support apparatus which concerns on this embodiment. The case where it is adopted is shown. It is explanatory drawing which shows a 2nd driving example, (a) shows the case where the conventional preceding driving assistance system is employ | adopted, (b) shows the case where the support apparatus which concerns on this embodiment is employ | adopted. It is explanatory drawing which shows a 3rd driving example, (a) is a case of manual driving | operation, (b) shows the case where the support apparatus which concerns on this embodiment is employ | adopted. It is a block diagram which shows the structure of the support apparatus which concerns on the modification of this invention, and its peripheral device.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the present embodiment, as an example of a support device, a driver (target person) takes as an example a device that supports control by an automatic function device when driving a vehicle (moving body) equipped with the automatic function device. explain.

[Description of First Embodiment]
FIG. 1 is a block diagram illustrating a configuration of a support device and peripheral devices according to an embodiment of the present invention. As shown in FIG. 1, the support device 100 includes a driving operation determination unit 11, an operation timing prediction unit 12, an automatic function control unit 13, and a brain activity analysis unit 23.

  The brain activity analysis unit 23 is connected to the brain activity detection unit 21 and the brain activity database 22. The operation timing prediction unit 12 is connected to the driving operation database 24 and the sensitivity time storage unit 27. The automatic function control unit 13 is connected to the automatic function device 26. The automatic function device 26 is connected to the ambient environment determination unit 25.

  The brain activity detector 21 detects a driver's brain wave (brain activity information). Specifically, a dedicated probe is attached to the driver's head, and brain waves emitted from the motor area in the brain are acquired from the brain waves detected by the probe. That is, when the driver performs any action, for example, when the brake pedal is depressed or the steering is operated, an electroencephalogram accompanying these operations is emitted from the motor area. Therefore, the driver's intention to operate can be estimated by detecting an electroencephalogram emitted from the motor area.

  The brain activity database 22 cumulatively stores data related to the driver's brain waves. Specifically, the brain wave emitted from the motor cortex detected by the brain activity analysis unit 23 and the action actually performed by the driver when the brain wave is emitted are associated with each other, and this correspondence data is accumulated. Remember. For example, when the driver performs a braking operation when the oscillation part, wavelength, and detection voltage of an electroencephalogram emitted from the motor cortex are ○○, the correspondence data in which these data are associated is stored. .

  The brain activity analysis unit 23 analyzes the brain wave data when a brain wave is detected by the brain activity detection unit 21. Specifically, detailed data on the electroencephalogram, such as the electroencephalogram oscillation site, wavelength, and voltage, are analyzed. Then, with reference to the brain activity database 22, correspondence data associated with the analyzed electroencephalogram data is acquired. That is, the brain activity analysis unit 23 has a function as a biological information analysis unit that analyzes the biological information of the subject.

  The driving operation database 24 stores brain activity data indicating the relationship between driving operation and brain activity for each driver. For example, when the intention of the steering operation by the driver is detected by the brain activity analysis unit 23, the time from the detection timing until the steering is actually operated (this is set as the delay time β) is obtained. Then, the delay time β is stored cumulatively. As the delay time β, an average value of a plurality of detection data can also be used. That is, the driving operation database 24 has a function as an operation behavior storage unit that stores behavior data indicating the relationship between each operation type and the operation timing of the target person as the operation timing for each driver (target person). ing.

  The sensitivity time storage unit 27 obtains a sensitivity time (Δt described later) when each driver operates the operation type based on the data stored in the driving operation database 24 and stores the sensitivity time. For example, when changing the lane by operating the steering to avoid the preceding vehicle, the driver who changes the lane early is distinguished from the driver who changes the lane after the distance between the preceding vehicle becomes short. The driver is classified into three skill levels: an advanced person with a high driving skill, a beginner with a low driving skill, and an intermediate person, which is an intermediate skill. For example, the sensitivity time for beginners is set to 800 [msec], the sensitivity time for intermediate players is set to 500 [msec], and the sensitivity time for advanced users is set to 200 [msec].

  The skill level can be set arbitrarily by the user, for example, other than setting based on the past driving operation data of each driver. For example, it is also possible to set a driver who has less than one year of driving experience as a beginner, a driver of more than one year and less than 10 years as an intermediate, and a driver of more than 10 years as a senior. The present invention is not limited to three skill levels, and four or more skill levels may be set and different sensitivity times may be set for each.

  The driving operation determination unit 11 determines the operation type of the driver based on the electroencephalogram data analyzed by the brain activity analysis unit 23. Specifically, it is determined whether the driver is about to perform, that is, whether the driver is trying to step on the brake pedal or the steering. The driving operation information as the determination result is output to the automatic function control unit 13. That is, the driving operation determination unit 11 has a function as an operation type determination unit that determines the operation type by the subject from the analysis result by the biological information analysis unit (brain activity analysis unit 23).

  The operation timing prediction unit 12 acquires the behavior data of the driver (target person), and further, based on the behavior data and the electroencephalogram data analyzed by the brain activity analysis unit 23, the behavior that the driver is about to perform. Predict the start timing. For example, when the above-described driving operation determination unit 11 determines that the driver depresses the brake pedal, the timing of executing this operation is predicted. Then, the operation timing information as the prediction result is output to the automatic function control unit 13. That is, the operation timing prediction unit 12 acquires the behavior data of the target person from the driving operation database 24 (operation behavior storage unit), and further determines the operation type of the target person based on the analysis result of the behavior data and the biological information. A function as a target person operation timing prediction unit for predicting a target person operation timing is provided.

  The ambient environment determination unit 25 images the external environment with a camera (not shown) mounted on the vehicle, and monitors the situation around the vehicle based on the imaging data. For example, other vehicles existing in the vicinity of the vehicle, the position of a stop line laid on the road, the presence of an obstacle, and the like are detected. The detected data is output to the automatic function device 26.

  The automatic function device 26 is, for example, an ACC (Adaptive Cruise Control) device, and is a device having a function of assisting in driving operation of the vehicle. Since the ACC device is a well-known device, detailed description thereof is omitted. In addition, the automatic function device can be an automatic driving device. Since the automatic driving device is also a well-known device, description thereof is omitted.

  The automatic function control unit 13 controls the automatic function device 26 based on each data of the driver's operation type detected by the driving operation determination unit 11 and the timing for executing the operation type detected by the operation timing prediction unit 12. Output support instructions. When the support command is supplied, the automatic function device 26 controls the automatic function according to the support command. Specifically, by operating the operation type (for example, steering) by an operation suitable for the driving operation level of the driver by an operation described later, the driver feels as if he / she is operating by himself / herself. Controls steering operation. By doing so, it is possible to perform a support process without a sense of incongruity adapted to the personal driving level of the driver.

  Note that the support device 100 shown in FIG. 1 can be configured as an integrated computer including a central processing unit (CPU) and storage means such as a RAM, a ROM, and a hard disk.

  Next, the processing procedure of the support device 100 according to the present embodiment will be described with reference to the flowchart shown in FIG. First, in step S <b> 11, the brain activity analysis unit 23 acquires, from the brain activity detection unit 21, an electroencephalogram emitted from the motor area from an electroencephalogram detected by a probe attached to the driver's head.

  In step S <b> 12, the brain activity analysis unit 23 analyzes the acquired electroencephalogram and correspondence data between the driver's past actions stored in the brain activity database 22.

  In step S <b> 13, the driving operation determination unit 11 detects the operation type that the driver is trying to execute based on the analysis result in the brain activity analysis unit 23. In this process, a brake operation or a steering operation by the driver can be detected as the operation type. Here, a case where the driver operates the steering wheel for changing the lane will be described as an example of the operation type.

  In step S <b> 14, the automatic function control unit 13 calculates a timing when this automatic operation is performed by the automatic function device 26 (this is referred to as “automatic operation timing T <b> 1”). That is, the brain activity analysis unit 23 detects the steering operation intention by the driver, and calculates the automatic operation timing T1 indicating the operation time when the automatic operation by the automatic function device 26 is performed.

  In step S <b> 15, the operation timing prediction unit 12 acquires a timing at which the driver operates the steering (this is referred to as “subject operation timing T <b> 2”). This data is based on the past driving data stored in the driving operation database 24, and the delay time between the timing at which the electroencephalogram is detected and the timing at which the steering is actually operated (the aforementioned “delay time β”). Can be obtained from statistical data. For example, when an electroencephalogram indicating a steering operation intention is detected for a certain driver and the steering operation is executed 1 second after that (that is, β = 1 [sec]), the subject operation timing is This is the time one second after the detection. Therefore, as shown in the timing chart of FIG. 3, one second later is the subject operation timing T2 with respect to the timing T0 when the electroencephalogram is detected. Moreover, the automatic operation timing T1 exists at a time earlier than the subject operation timing T2.

  In step S <b> 16, the operation timing prediction unit 12 acquires the sensitivity time of the target driver (this is assumed to be “Δt”) from the sensitivity time storage unit 27. As described above, the technical levels of beginner, intermediate, and advanced are set based on the driving skills of each driver, and the sensitivity time Δt is set according to each technical level. In this process, the sensitivity time Δt is acquired based on the driving skill of the target driver. For example, when the driver's driving skill is intermediate, the sensitivity time Δt is set to 500 [msec].

  In step S17, a difference “T2−T1” (this is referred to as “time difference α”) between the subject person operation timing T2 and the automatic operation timing T1 is calculated, and the time difference α is compared with the driver sensitivity time Δt. . If α> Δt (YES in step S17), the process proceeds to step S19. If not (NO in step S17), the process proceeds to step S18.

  In step S18, the automatic function controller 13 sets the operation timing Tr of the automatic function device 26 to the automatic operation timing T1. That is, as shown in FIG. 3 (b), the timing T3b that goes back by the sensitivity time Δt from the subject operation timing T2 is the timing T3b that is earlier than the automatic operation timing T1, and therefore the automatic operation timing T1 is automatically turned on. It is set as the operation timing Tr for operation.

  In step S19, the automatic function control unit 13 sets the operation timing Tr of the automatic function device 26 to “T2−Δt”. That is, as shown in FIG. 3 (a), a timing T3a that goes back from the subject operation timing T2 by the sensitivity time Δt is set as an operation timing Tr when the steering is automatically operated.

  In step S20, the automatic function device 26 stands by until the operation timing Tr, and in step S21, calculates the automatic operation amount when the brake operation is executed at the present time. Further, in step S22, a steering operation is executed.

  By doing so, the automatic operation by the automatic function device 26 is executed in accordance with the timing at which the driver operates the steering. As a result, the steering is automatically operated as if the driver operated the steering by himself / herself. That is, the steering can be automatically operated without giving the driver the recognition that the automatic function is operating.

  For example, when the driver is an intermediate person, the sensitivity time Δt is set to 500 [msec], and the automatic function is activated at a time earlier by 500 [msec] than the subject operation timing T2. If the driver is an advanced driver, the sensitivity time Δt is set to 200 [msec], and the automatic function is activated at a time earlier by 200 [msec] than the subject operation timing T2. If the sensitivity time Δt is set to 500 [msec] for an advanced user, the automatic function is activated at a time slightly earlier than the timing when the advanced user normally operates the steering, and the steering is activated. The feeling of being is disturbed, and you feel uncomfortable.

  In the present embodiment, in order to avoid such a problem, technical levels are classified as advanced, intermediate, and beginners, and a sensitivity time Δt is set according to each, so that the technical level of each driver is set. Depending on the automatic function can be activated.

  That is, the automatic function control unit 13 executes the steering operation based on the operation type (here, the steering operation) detected by the driving operation determination unit 11 and the operation timing detected by the operation timing prediction unit 12. Is output to the automatic function device 26.

  Then, the automatic function device 26 operates the automatic function by changing the timing for controlling the operation type based on the input support command. In this way, operation types such as a brake pedal and a steering wheel are automatically controlled at a timing suitable for the characteristics of the individual driver.

  Thus, in the support device 100 according to the present embodiment, based on the driver's brain wave, an operation type such as a steering operation or a brake operation that the driver will execute in the future is detected, and this operation type is further executed. The target person operation timing T2, which is the timing to detect, is detected. Furthermore, an automatic operation timing T1, which is an operation timing by an automatic function, is detected. And according to each of these timings, since a support command for controlling the operation type is output, it is possible to activate the automatic function while maintaining the feeling that the driver is driving by himself / herself. It becomes possible.

  Furthermore, since the sensitivity time Δt for each driver is stored in the sensitivity time storage unit 27 and the operation timing of the automatic function is set using the sensitivity time Δt, the operation timing according to the driver's technical level is set. be able to. Therefore, it is possible to control each driver with an automatic function suitable for each technical level.

  In addition, the sensitivity time Δt is set to be shorter for a driver with a higher technical level. In other words, the sensitivity time is set to be relatively shorter for a subject who has a higher operation sensitivity for the operation type. Accordingly, it is possible to control the automatic function at a timing suitable for each subject.

  Furthermore, in this embodiment, since the operating device is a vehicle, it is possible to reduce the driver's uncomfortable feeling when automatically controlling the vehicle, and to avoid or reduce the stress caused by the driving operation.

  Next, specific advantages of driving operation by employing the support device according to the present embodiment will be described in detail with reference to first to third driving examples shown below.

[First operation example]
FIG. 4 shows an example in which the vehicle travels on a traveling path X1 with a poor visibility line laid around the mountain area M1 as a first operation example, and further stops at the stop line H1. FIG. 4 (a) shows traveling when the vehicle is driven by manual operation, and FIG. 4 (b) shows traveling when the brake is controlled by employing a conventional advance driving support system. 4 (c) shows traveling when the support device according to the present embodiment is employed and the brake is controlled. The trajectory of each run is indicated by a bold line.

  As shown in FIG. 4 (a), when the vehicle is driven by manual operation, the vehicle travels on the outside of the traveling path X1 with a sharp curve existing at the point P1, and further, the forward visibility is deteriorated. , Slow down. Furthermore, the vehicle travels again outside the travel path X1 at the second sharp curve present at the point P2, and then notices the stop line H1, so the brake operation is delayed. Therefore, as indicated by reference sign a1, the vehicle V1 may not be able to stop at the stop line H1. Further, reference symbol a2 indicates a variation in the amount of operation of the brake, and as indicated by reference symbol a2, the brake operation is not stable, and the driver feels uncomfortable.

  On the other hand, as shown in FIG. 4B, when the preceding driving support system is adopted, the vehicle passes through a sharp curve at the point P3, so that the steering operation is abrupt and the timing at which the driver actually operates is determined. A time lag occurs between them, and the behavior becomes unsuitable for the driver's driving sensation. Further, since the stop line H1 is noticed at the point P4, when the vehicle V1 stops at the stop line H1, as shown by the reference sign b1, it becomes suddenly braked as shown by the reference sign b2.

  As shown in FIG. 4 (c), when the support device 100 according to the present embodiment is employed, the driver's steering operation is detected before reaching the point P5 where the sharp curve exists, and the driver's technology. Since the steering is operated at the subject operation timing corresponding to the level, for example, the steering is operated at a time one second before reaching the point P5. As a result, the vehicle V1 can be prevented from moving outside the curve at the point P5 where the sharp curve exists, and the vehicle V1 can be operated stably. As a result, it can be avoided that the driver feels uncomfortable. Furthermore, when the vehicle V1 travels on the point P6 where the sharp curve exists and notices the stop line H1, the brake is automatically operated in accordance with the timing of the brake operation by the driver, so the brake operation is executed early. can do. Therefore, the vehicle V1 can be reliably stopped at the stop line H1 as indicated by reference numeral c1, and the brake operation can be stably performed as indicated by reference numeral c2.

  As described above, by adopting the support device 100 according to the present embodiment, the operation type such as the brake and the steering is controlled so as to be adapted to the driver's operation intention, so that the vehicle travels on the traveling road X1 with poor visibility. In this case, smooth driving control can be performed without any incongruity for the driver.

[Second operation example]
Next, a second operation example will be described with reference to FIG. FIG. 5 is an explanatory diagram schematically showing a situation where a low-speed motorcycle is traveling forward when the vehicle V1 is traveling on the right side of the traveling path. FIG. 5A shows a case where a conventional preceding driving support system is used, where symbol q1 indicates a traveling path that the driver wants to travel, and symbol q2 indicates a traveling path controlled by the preceding driving support system. Show.

  If the control for avoiding the motorcycle V2 is executed when the vehicle V1 reaches the point Z1, it is difficult to avoid the motorcycle V2 by moving the vehicle V1 to the left by the control by the preceding driving support system. This is a situation, and the speed of the vehicle V1 is reduced as indicated by the symbol q2. Therefore, in actuality, as shown by the symbol q1, the driver wants to overtake the motorcycle V2, but the vehicle V1 is decelerated and the driver feels uncomfortable.

  On the other hand, as shown in FIG. 5B, when the support device 100 according to the present embodiment is employed, the steering can be operated at a point Z0 before the vehicle V1 reaches the point Z1. That is, when it is detected that the steering is operated at the point Z1 based on the brain wave of the driver, the steering can be automatically operated at the point Z0 that is a point one second before, for example. By executing such an operation, as shown by the symbol q3, the vehicle V1 can be controlled by a route suitable for the travel route intended by the driver, and the motorcycle V2 can be avoided and passed smoothly.

  As described above, in the second driving example, by employing the support device 100, an operation for avoiding an obstacle existing ahead can be performed so as to conform to the driver's operation intention. As a result, smooth operation control can be achieved.

[Third operation example]
Next, a third operation example will be described with reference to FIG. When the driver operates the brake operation of the vehicle, the operation amount may not be stabilized, and the driver may feel uncomfortable. In the third operation example, only the operation amount of the operation type is changed without changing the timing.

  For example, when the brake is operated by manual operation, as shown in FIG. 6A, from the start of the brake operation until the vehicle actually stops at the stop line H2, The amount of brake operation may fluctuate, causing a sense of discomfort.

  When the support device according to the present embodiment is employed, as shown in FIG. 6B, the braking amount by the brake is changed from the start of the brake operation to the stop of the vehicle at the stop line H2, as indicated by reference numeral b1. It can be controlled to change smoothly. That is, when the brake operation is started, the automatic function control unit 13 outputs a support command for adjusting the brake operation amount to a smooth change. As a result, it is possible to stop the vehicle V1 with natural movement without causing the driver to feel uncomfortable.

  Further, in the above-described embodiment, the vehicle has been described as an example of the operation device, but the present invention is not limited to this, and can be applied to various moving bodies such as a ship, an aircraft, and an electric wheelchair. . Even in the case of such a moving body, the operation type is operated at a timing that matches the operation timing of the target person as in the above-described embodiment, so that the operation type of the moving body can be set as if it were driving by itself. It becomes possible to control.

[Description of modification]
Next, a modification of the above-described embodiment will be described. In the first embodiment described above, an electroencephalogram has been described as an example of a biological signal. On the other hand, in the modification, an electromyogram for detecting the movement of the subject's muscle is detected, and the operation type and operation timing of the driver are detected. FIG. 7 is a block diagram illustrating a configuration of the support device 101 according to the modification. As illustrated in FIG. 7, the support device 101 according to the modification includes an electromyogram detection unit 51 instead of the brain activity detection unit 21, and an electromyogram database 52 instead of the brain activity database 22. The difference is that the electromyogram analyzer 53 is provided instead of the brain activity analyzer 23. Other configurations are the same as those of the first embodiment described above.

  The electromyogram detection unit 51 includes an electromyogram detection sensor that is attached to a portion that causes movement of the driver's (subject) hand, foot, and the like, and measures the driver's electromyogram.

  The electromyogram database 52 cumulatively stores the driver's electromyogram information. Specifically, the electromyogram detected by the electromyogram detector 51 is associated with the action actually performed by the driver, and this correspondence data is stored cumulatively.

  The electromyogram analysis unit 53 analyzes the electromyogram when the electromyogram is detected by the electromyogram detection unit 51, and further refers to the electromyogram database 52 to analyze the electromyogram information analyzed. Correspondence data associated with is acquired.

  As in the first embodiment described above, the driver's operation type, automatic operation timing, and subject operation timing are detected using an electromyogram, a support command is output, and automatic operation by the automatic function device 26 is performed. Activate the function. By doing so, as in the first embodiment described above, it becomes possible for the driver to activate the automatic function at a timing that matches the driving sensation.

[Description of Second Embodiment]
Next, a second embodiment will be described. The present invention is not limited to a moving body, and can also be applied to game machines, exoskeletons (extraskeletons), and the like. For example, in the case of a game machine, when a player (target person) operates the game machine to execute a game, a brain wave detection probe is attached to the player's head. Then, by automatically operating the game machine based on the player's brain waves, it is possible to set a more powerful and powerful game characteristic. Specifically, when the player's operation of the controller of the game machine is detected by brain waves, the controller is operated at a timing suitable for the player's sense of operation so as to improve the operability of the controller. As a result, the player can operate the controller as if it were operating on its own, and can operate the game machine with high operability.

  Moreover, it is also possible to apply to the exoskeleton which assists an operation | movement of a worker (target person). The exoskeleton is used to assist the handling work of heavy objects by the function of assisting bending and stretching the trunk of the operator. Specifically, a probe for detecting an electroencephalogram is attached to the worker's head, and the electroencephalogram of the operator is detected using the probe. Then, by detecting the operation type and operation timing using the support device according to the present invention, the operation of the exoskeleton is controlled at a timing suitable for the operation timing intended by the operator. By doing this, the operator can operate the exoskeleton as if he / she is operating it, and can perform the work of handling heavy loads, which in turn can improve work efficiency. Become.

  The support device and the support method of the present invention have been described based on the illustrated embodiment. However, the present invention is not limited to this, and the configuration of each unit is an arbitrary configuration having the same function. Can be replaced.

DESCRIPTION OF SYMBOLS 11 Driving operation judgment part 12 Operation timing prediction part 13 Automatic function control part 21 Brain activity detection part 22 Brain activity database 23 Brain activity analysis part 24 Driving operation database 25 Ambient environment judgment part 26 Automatic function apparatus 27 Sensitivity time memory part 51 Myoelectricity Figure detection unit 52 EMG database 53 EMG analysis unit 100, 101 Support device

Claims (9)

In a support device that supports control of an automatic function device that automatically operates the operation type,
A biological information analysis unit for analyzing the biological information of the subject person;
From the analysis result by the biological information analysis unit, an operation type determination unit that determines an operation type by the subject,
For each subject, an operation behavior storage unit that stores behavior data indicating the relationship between each operation type and the subject operation timing that is the operation timing;
Target person operation timing for acquiring action data of the target person from the operation action storage unit, and further predicting a target person operation timing of an operation type by the target person based on the analysis result of the action data and the biological information A predictor;
An automatic operation timing by the automatic function of the operation type is calculated, and a time difference between the automatic operation timing and the target person operation timing is calculated, and this time difference is equal to or less than a sensitivity time determined for each target person. In this case, the automatic operation timing is calculated as an operation timing when the operation type is automatically operated, and when the time difference exceeds the sensitivity time, based on the subject operation timing and the sensitivity time, An automatic function controller that calculates the operation timing;
A support device comprising: The support device according to claim 1, wherein the automatic function control unit sets a sensitivity time for each target person based on behavior data stored in the operation behavior storage unit . The support device according to claim 2 , wherein the automatic function control unit sets the sensitivity time to be relatively shorter for a subject who has a higher operation sensitivity with respect to an operation type . The support device according to claim 1, wherein the automatic function device automatically operates an operation type of the moving body . The support device according to claim 4 , wherein the moving body is a vehicle, and the automatic function device is an automatic driving device. The support device according to claim 1 , wherein the automatic function device automatically operates an operation type of the game machine . The support device according to claim 1, wherein the automatic function device is a reinforced suit worn by a human . The biological information is at least one of the subject's brain activity information detected by a brain activity detector and the subject's electromyogram information detected by an electromyogram detector.
The support device according to any one of claims 1 to 7 . In the support method that supports the control of the automatic function device that automatically operates the operation type,
A step in which the biological information analysis unit analyzes the biological information of the target person;
A step of determining an operation type by the target person from an analysis result by the biological information analysis unit;
In the operation behavior storage unit, for each subject, a step of storing behavior data indicating a relationship between each operation type and the subject operation timing that is the operation timing;
The timing prediction unit acquires the target person's behavior data from the operation behavior storage unit, and further, based on the behavior data and the analysis result of the biological information, the target person operation timing of the operation type by the target person. Predicting process;
The automatic function control unit calculates an automatic operation timing by the automatic function of the operation type, and calculates a time difference between the automatic operation timing and the target person operation timing, and this time difference is determined for each target person. When the time is less than the sensitivity time, the automatic operation timing is calculated as an operation timing when the operation type is automatically operated, and when the time difference exceeds the sensitivity time, the subject operation timing and the sensitivity time are calculated. Calculating the operation timing based on:
A support method characterized by comprising:

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