JP7589795B2 - Analysis device, analysis method, and program - Google Patents

Description

The present invention relates to an analysis device, an analysis method, and a program.

Various technologies have been proposed to verify the occurrence of traffic accidents. For example, Patent Document 1 discloses a simulator that allows a subject to experience a simulated crossing of a roadway. This simulator measures the walking distance of a subject while showing the subject a virtual traffic environment created using computer graphics, and uses the measurement results to determine the subject's road crossing status.

JP 2012-2950 A

In the simulator described in the above-mentioned document, the subject walks on the treadmill while watching an image projected on a screen placed in front of the treadmill. Therefore, the walking distance used to determine the subject's crossing situation is a measurement result of walking on the treadmill. However, since walking on a treadmill is not walking on a ground where free walking is possible, the walking measured by the simulator may not adequately reproduce the walking of the subject when walking in an actual traffic environment. For example, a subject who is not accustomed to using a treadmill may walk on the treadmill at a speed slower than the walking speed when walking in an actual traffic environment. If walking at the walking speed when walking in an actual traffic environment cannot be reproduced, appropriate simulation results cannot be obtained.

Therefore, one of the objectives that the embodiments disclosed in this specification aim to achieve is to provide an analysis device, an analysis method, and a program that can appropriately simulate and analyze a user crossing a road.

The analysis device according to the first aspect comprises:
a position information acquisition unit that acquires position information of a user in a real space;
a display control unit that controls to display an image of a virtual reality space in which a vehicle is traveling on a road;
and an analysis information generation unit that generates analysis information regarding the user's crossing of the road based on time series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.

In the analysis method according to the second aspect,
Acquire the user's location information in the real space;
It controls the display of images of a virtual reality space in which a vehicle is traveling on a road,
Analysis information regarding the user's crossing of the road is generated based on time series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.

A program according to a third aspect includes:
A position information acquisition step of acquiring position information of a user in a real space;
a display control step of controlling to display an image of a virtual reality space in which a vehicle is traveling on a road;
and an analytical information generating step of generating analytical information regarding the user's crossing of the road based on time series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.

According to the above-mentioned aspects, it is possible to provide an analysis device, an analysis method, and a program that can appropriately simulate and analyze a user crossing a road.

FIG. 1 is a block diagram showing an example of a configuration of an analysis device according to an outline of an embodiment. 1 is a block diagram showing an example of a configuration of an analysis system according to an embodiment; FIG. 1 is a schematic diagram showing an example of a real environment. 1 is a block diagram illustrating an example of a functional configuration of an analysis device according to an embodiment. 4 is a schematic diagram showing an example of an image generated by a display control unit. FIG. 11 is a schematic diagram showing an example of visual data regarding the analysis information generated by the analysis information generation unit; FIG. 13 is a schematic diagram showing another example of visual data regarding the analysis information generated by the analysis information generation unit. FIG. 13 is a schematic diagram showing yet another example of visual data regarding the analysis information generated by the analysis information generation unit. FIG. 13 is a schematic diagram showing yet another example of visual data regarding the analysis information generated by the analysis information generation unit. FIG. FIG. 2 is a schematic diagram illustrating an example of a hardware configuration of an analysis apparatus according to an embodiment; 1 is a flowchart illustrating an example of an operation flow of the analysis device according to the embodiment.

<Overview of the embodiment>
Prior to detailed description of the embodiment, an overview of the embodiment will be described. Fig. 1 is a block diagram showing an example of a configuration of an analysis device 1 according to the overview of the embodiment. As shown in Fig. 1, the analysis device 1 includes a position information acquisition unit 2, a display control unit 3, and an analysis information generation unit 4.

The position information acquisition unit 2 acquires position information of the user in real space. More specifically, the position information acquisition unit 2 acquires time series data of position information. In a simulation of crossing using the analysis device 1, the user, who is the subject, actually moves on the ground or floor. For this reason, the position information acquisition unit 2 acquires position information when the user actually moves on the ground or floor.

The display control unit 3 controls to display an image of a virtual reality space in which a vehicle runs on a road. For example, the display control unit 3 controls to display such an image of the virtual reality space on a head mounted display (HMD) worn by the subject user. In order for the user to have a sense of immersion, it is preferable that the image of the virtual reality space is displayed on a head mounted display, but it may be displayed on another display such as a flat panel display. In addition, it is preferable that the image displayed under the control of the display control unit 3 is an image with the user's position in the virtual reality space as the viewpoint, which is specified based on the position information acquired by the position information acquisition unit 2. In addition, when it is possible to detect the direction of the user's line of sight (direction of the head), it is preferable that the image displayed under the control of the display control unit 3 is an image according to the direction of the user's line of sight (direction of the head).

The analysis information generating unit 4 generates analysis information regarding the user's crossing based on time series data of the user's position in the virtual reality space identified based on the position information acquired by the position information acquiring unit 2 when the user crosses a road in the virtual reality space. The analysis information may be any data regarding crossing, and may be, for example, information indicating whether or not there was a collision with a vehicle, information indicating the movement trajectory when crossing, or information indicating the time required to cross. Note that these are merely examples, and the generated analysis information is not limited to these.

Analysis device 1 uses the user's position information in real space to generate analysis information about the user's crossing of a road. Therefore, analysis device 1 can generate analysis information about crossing using walking data that is similar to walking in an actual traffic environment. Therefore, it is possible to appropriately simulate and analyze the user's crossing of a road.

<Details of the embodiment>
Fig. 2 is a block diagram showing an example of a configuration of an analysis system 10 according to an embodiment. As shown in Fig. 2, the analysis system 10 includes an analysis device 100 and a head mounted display 200. The analysis device 100 and the head mounted display 200 are connected to each other so as to be able to communicate with each other, for example, wirelessly. Note that the two may also be connected to each other so as to be able to communicate with each other via a wire.

The analysis system 10 presents a virtual reality (VR) to a user, simulates the user's crossing of a roadway, and generates analysis information about the crossing. In a simulation using the analysis system 10, a subject, a user 90, wears a head-mounted display 200 as shown in FIG. 3. The user 90 actually moves within a predetermined area 91, and thus moves in the virtual reality space displayed by the head-mounted display 200. That is, in the analysis system 10, the actual movement is reflected in the movement of the user in the virtual reality space displayed on the head-mounted display 200. For example, the actual movement speed, movement direction, and movement distance of the user 90 in the virtual reality space are the same as those of the user's actual movement in the area 91. The area 91 is an area of a predetermined size on the ground or floor. Therefore, the user 90 moves on this ground or floor during the simulation. That is, when carrying out the simulation, the user 90 can walk in a manner similar to walking in an actual traffic environment, rather than walking pseudo-on a treadmill.

The head mounted display 200 is a display device that is attached to the head of the user 90, and allows the user 90 to experience a virtual reality space. Any head mounted display capable of displaying a virtual reality space can be used as the head mounted display 200. For example, the head mounted display 200 includes a display disposed in front of the user 90's eyes and a sensor that detects the three-dimensional position and tilt of the head mounted display 200 in real space (tilt of the user 90's head). The sensor may be, for example, an inertial measurement unit (IMU) such as a speed sensor or a gyroscope, or a sensor including a camera and an image processing device. The sensor may also be a so-called six-axis sensor that acquires any information among three-axis acceleration and angular velocity around the x-axis, y-axis, and z-axis. The sensor may also be a combination of these. This detects the position and orientation of the head mounted display 200. In this way, the position and tilt of the user 90's head can be acquired by the sensor. The head mounted display 200 is also provided with a communication circuit for communicating with the analysis device 100 and the like, and transmits the position and orientation of the head mounted display 200 detected by a sensor to the analysis device 100. The position and orientation of the head mounted display 200 do not necessarily need to be detected by the head mounted display 200 itself. For example, the position and orientation of the head mounted display 200 may be detected by analyzing an image obtained by capturing a part or the whole of the area 91 with a camera. That is, these may be detected by an external sensor. Instead of detecting the position and orientation of the head mounted display 200, or together with detecting the position and orientation of the head mounted display 200, the position and orientation of the head of the user 90 itself may be detected. The head mounted display 200 receives the image generated by the analysis device 100. As a result, the image generated by the analysis device 100 is displayed on the display of the head mounted display 200.

The head mounted display 200 may also include an input device that accepts operational input from the user 90. This input device may be built into the head mounted display 200, or may be connected to the head mounted display 200. This input device may be a button. This input device may accept an operation from the user 90 to instruct the start of a simulation. In this case, the head mounted display 200 notifies the analysis device 100 that such an instruction has been received. Note that the operation to instruct the start of a simulation may be accepted by an input interface provided in the analysis device 100.

Next, the analysis device 100 will be described. The analysis device 100 is a device that controls the display of the virtual reality space in the head mounted display 200 and outputs analysis information about the user's crossing, and corresponds to the analysis device 1 in FIG. 1. FIG. 4 is a block diagram showing an example of the functional configuration of the analysis device 100. As shown in FIG. 4, the analysis device 100 has a user information acquisition unit 101, a position information acquisition unit 102, a gaze direction acquisition unit 103, a display control unit 104, an analysis information generation unit 105, an analysis information output unit 106, and a grouping unit 107.

The user information acquisition unit 101 acquires information about the subject user 90 (hereinafter referred to as user information). For example, the user information acquisition unit 101 acquires personal information such as the identification information, age, and gender of the user 90 as the user information. The identification information may be an ID or the name of the user 90. The user information acquired by the user information acquisition unit 101 is not limited to the above information given as examples. The user information acquisition unit 101 may acquire user information input via an input interface of the analysis device 100, may acquire user information received from another device, or may acquire user information by reading it from a storage device.

The position information acquisition unit 102 corresponds to the position information acquisition unit 2 in FIG. 1, and acquires position information of the user 90 in real space. In this embodiment, the position information acquisition unit 102 acquires position information of the head mounted display 200 worn by the user 90 as the position information of the user 90. Note that in this embodiment, the position information acquisition unit 102 acquires position information detected by the head mounted display 200 by receiving it from the head mounted display 200. However, when the position of the head mounted display 200 is detected by an external sensor, the position information acquisition unit 102 may acquire the position information of the head mounted display 200 from this external sensor.

The gaze direction acquisition unit 103 acquires gaze direction information representing the direction of the gaze of the user 90 in real space. In this embodiment, the gaze direction acquisition unit 103 acquires information representing the orientation of the head mounted display 200 worn by the user 90 as gaze direction information representing the direction of the gaze of the user 90. In this embodiment, the gaze direction acquisition unit 103 acquires information representing the orientation of the head mounted display 200 detected by the head mounted display 200 by receiving it from the head mounted display 200. However, if the orientation of the head mounted display 200 is detected by an external sensor, the gaze direction acquisition unit 103 may acquire information from this external sensor. Also, in this embodiment, the gaze direction acquisition unit 103 acquires the orientation of the head mounted display 200, that is, the orientation of the head, as gaze direction information, but if gaze detection is possible, the detected gaze may be acquired as gaze direction information. For example, if the head mounted display 200 is equipped with an eye tracking sensor, the gaze direction acquisition unit 103 may acquire gaze direction information obtained from this sensor.

The display control unit 104 corresponds to the display control unit 3 in FIG. 1, and controls the display of an image of a virtual reality space in which a vehicle runs on a road on the head mounted display 200. The display control unit 104 changes the display of the virtual reality space according to the position of the head mounted display 200 acquired by the position information acquisition unit 102 and the orientation of the head mounted display 200 acquired by the line of sight direction acquisition unit 103. In other words, the display control unit 104 changes the display of the virtual reality space according to the position of the user 90 acquired by the position information acquisition unit 102 and the line of sight direction of the user 90 acquired by the line of sight direction acquisition unit 103. In other words, the display control unit 104 controls the display of an image that is a viewpoint of the position of the user in the virtual reality space, which is specified based on the position information acquired by the position information acquisition unit 102, and is in the direction indicated by the line of sight direction information acquired by the line of sight direction acquisition unit 103. The display control unit 104 outputs the image to the head mounted display 200. The video data transmitted from analysis device 100 is received by head mounted display 200 , and head mounted display 200 displays the received video to user 90 .

FIG. 5 is a schematic diagram showing an example of an image generated by the display control unit 104. As shown in FIG. 5, the display control unit 104 displays an image of a virtual reality space simulating a traffic environment including a road 92 and a vehicle 93 traveling on the road 92. When the display control unit 104 receives an instruction to start a simulation, it displays a vehicle 93 traveling at a predetermined speed from a predetermined position on the road 92. The traveling speed of the vehicle 93 can be set to any speed. For example, in this embodiment, the vehicle 93 is set to one of a speed of 40 kilometers per hour, a speed of 60 kilometers per hour, and a speed of 80 kilometers per hour. Note that these speeds are merely examples, and other speeds may be set. The vehicle 93 traveling on the road 92 does not have to be one vehicle, and may be multiple vehicles. In the example shown in FIG. 5, the vehicle 93 travels on the road 92 in one direction, but the vehicle 93 may travel on the road 92 from both directions.

In the simulation, a user 90 crosses a road 92 in a virtual reality space while being careful not to collide with a vehicle 93. Specifically, the user 90 moves within an area 91 of a real environment to move from a start position 94 in the virtual reality space to a goal position 95. Here, the start position 94 is the position where crossing of the road 92 begins, and the goal position 95 is the position where crossing of the road 92 ends.

The analysis information generating unit 105 corresponds to the analysis information generating unit 4 in FIG. 1. The analysis information generating unit 105 generates analysis information about the user 90's crossing of a road 92 based on time series data of the position of the user 90 in the virtual reality space when the user 90 crosses the road 92 in the virtual reality space. The analysis information generating unit 105 generates any predetermined analysis information. The analysis information generating unit 105 generates analysis information associated with the user information acquired by the user information acquiring unit 101.

The grouping unit 107 groups the analysis information for multiple users 90 generated by the analysis information generation unit 105 according to the age or gender of the users 90. The grouping unit 107 that performs such grouping may be referred to as a homogeneous user grouping unit. By performing such grouping, it becomes possible to understand the cross-section of users based on the viewpoint of age or gender. The grouping unit 107 may also group the analysis information for the same user 90 generated by the analysis information generation unit 105. The grouping unit 107 that performs such grouping may be referred to as a homogeneous user grouping unit. By performing such grouping, it becomes possible to understand, for example, changes in the analysis information due to age.

The analysis information output unit 106 outputs the analysis information generated by the analysis information generation unit 105. For example, the analysis information output unit 106 outputs the analysis information to a display to display the analysis information. This display may be a display provided in the analysis device 100, may be a display connected to the analysis device 100, or may be a display of the head-mounted display 200. The analysis information output unit 106 may also output the analysis information to a storage device such as a memory to store the analysis information. The analysis information output unit 106 may also output the analysis information to another device communicably connected to the analysis device 100 in order to transmit the analysis information to the other device. The analysis information output unit 106 may output the analysis information grouped by the grouping unit 107. For example, the analysis information for users 90 of a certain age group may be output together, the analysis information for users 90 of a certain gender may be output together, or only the analysis information for the same user 90 may be output together.

Here, an example of the analysis information generated by the analysis information generating unit 105 will be described.
For example, the analysis information generating unit 105 may determine whether or not the user 90 crossing the road 92 in the virtual reality space has collided with the vehicle 93 traveling on the road 92 based on time series data of the position of the user 90. The analysis information generating unit 105 may generate, as the analysis information, information indicating whether or not the user 90 has collided with the vehicle 93. For example, the analysis information generating unit 105 determines whether or not the two have collided by using time series data of the position of the user 90 during the simulation and time series data of the position of the vehicle 93 to determine whether or not the distance between the two has become equal to or less than a predetermined value. In this way, by generating information indicating the presence or absence of a collision as the analysis information, it becomes possible to easily determine whether or not the road has been crossed appropriately. Note that the method of determining the collision is not limited to the above-mentioned method. For example, the analysis information generating unit 105 may determine whether or not the user 90 crossing the road 92 in the virtual reality space has collided with the vehicle 93 traveling on the road 92 based on the relative position of the user 90 based on the start position 94 and the elapsed time.

Furthermore, when it is determined that the user 90 has collided with the vehicle 93, the analysis information generating unit 105 may generate, as the analysis information, information indicating the time from a predetermined time point to the time point at which the collision occurs. For example, this predetermined time point may be the start time of the simulation, or may be the time point at which the movement from the start position 94 is started (the time point at which the user 90 enters the road 92). In this way, by generating, as the analysis information, information indicating the time from the predetermined time point to the time point at which the collision occurs, it is possible to obtain information that is useful for understanding the cause of the collision.
Furthermore, when it is determined that the user 90 has collided with the vehicle 93, the analysis information generating unit 105 may generate, as analysis information, time-series data of the position or line of sight of the user 90 from a predetermined time point to the time point of the collision. Such information is also useful for understanding the cause of the collision.

Furthermore, when it is determined that the user 90 has collided with the vehicle 93, the analysis information generating unit 105 may generate, as the analysis information, information indicating the location where the collision occurred. For example, the analysis information generating unit 105 identifies the location on the road 92 where the collision occurred, and generates information indicating the identified location. In this way, by generating, as the analysis information, information indicating the location where the collision occurred, it is possible to obtain information that is useful for understanding the occurrence of the collision in detail.

The analysis information generating unit 105 may also generate, as the analysis information, information representing the trajectory of the user 90's movement when crossing the road 92, based on the time series data of the user 90's position. In this way, by generating information representing the trajectory of the movement as the analysis information, it is possible to obtain information that is useful for understanding how the crossing was performed. The analysis information generating unit 105 may also generate, as the analysis information, information indicating the progress of the crossing distance (i.e., the distance traveled by the user 90 from the crossing start position in the direction crossing the road 92) instead of or together with the trajectory of the movement. When such information is generated, it is also possible to obtain information that is useful for understanding how the crossing was performed.

Furthermore, the analysis information generating unit 105 may generate, as the analysis information, the time taken by the user 90 to cross the road 92. For example, the analysis information generating unit 105 generates, as the analysis information, information indicating the time from the start of the simulation or the start of movement from the start position 94 (the point at which the user 90 enters the road 92) to reaching the goal position 95. In this way, by generating, as the analysis information, information indicating the time taken by the user 90 to cross the road 92, it is possible to obtain information that is useful for understanding how the crossing was performed.

The analysis information generating unit 105 may further generate analysis information about the direction of the gaze when the user 90 crosses the road 92, based on the time series data of the gaze direction information acquired by the gaze direction acquiring unit 103. For example, the analysis information generating unit 105 may generate information representing the shift in the gaze, or may generate information indicating the time during which the gaze is directed in a specified direction (e.g., the direction in which the vehicle 93 is approaching). In this way, by generating analysis information about the gaze direction, it is possible to obtain information that is useful for understanding where the user 90 was looking while crossing the road 92.

Although some specific examples of analytical information have been described above, the analytical information generated by the analytical information generating unit 105 is not limited to these. In addition, the analytical information generated by the analytical information generating unit 105 may be visual data using graphs or maps of the traffic environment. By generating visual data, it becomes possible to visually understand the contents of the analytical information.

Figure 6 is a schematic diagram showing an example of visual data regarding the analysis information generated by the analysis information generating unit 105. In the example shown in Figure 6, a movement trajectory 96a of a user 90 crossing a road 92 is shown on a map 97. Note that in the example shown in Figure 6, in addition to the movement trajectory 96a of the user 90 shown as a white circle, a movement trajectory 96b of a vehicle 93 shown as a black circle is also shown on the map 97.

Figure 7 is a schematic diagram showing another example of visual data regarding the analysis information generated by the analysis information generating unit 105. Figure 7 shows an example of a graph showing the progress of the crossing distance. In the graph shown in Figure 7, the horizontal axis indicates the elapsed time from the start of the simulation, and the vertical axis indicates the distance traveled by the user 90 from the starting position 94 in the direction crossing the road 92.

Figure 8 is a schematic diagram showing yet another example of visual data for the analysis information generated by the analysis information generation unit 105. Figure 8 shows an example of a graph showing the change in gaze when crossing. In the graph shown in Figure 8, the horizontal axis indicates the horizontal angle of the gaze, and the vertical axis indicates the elapsed time from the start of the simulation. Note that here, the horizontal axis is the horizontal angle of the gaze, but it may also be the vertical angle of the gaze.

9 is a schematic diagram showing yet another example of visual data on the analysis information generated by the analysis information generating unit 105. FIG. 9 shows an example of a graph in which the time taken by the user 90 to cross the road 92 is plotted by age group. That is, in the example shown in FIG. 9, the analysis information grouped according to age by the grouping unit 107 is shown. In the graph shown in FIG. 9, the horizontal axis indicates the time taken by the user 90 to cross the road 92 (crossing time), and the vertical axis indicates the age group. In the graph shown in FIG. 9, each circle corresponds to each user. However, the hatched circle indicates the average crossing time of the users 90 classified into the same age group. In this way, the analysis information generating unit 105 may perform statistical processing on the analysis information for multiple users and generate the results of the statistical processing as new analysis information. In addition, the analysis information generating unit 105 may generate visual data that displays the past results and the latest results for the same user. That is, a graph of the grouped analysis information for the same user 90 may be generated.

The analysis information output unit 106 may control the output so as to simultaneously display various visual data. In addition, in this case, when data at a certain point in time is selected in any of the visual data, the analysis information output unit 106 may highlight and display data at the same point in time in other visual data so as to make it easier to understand the correspondence between the data.

Next, the hardware configuration of the analysis device 100 will be described. FIG. 10 is a schematic diagram showing an example of the hardware configuration of the analysis device 100. As shown in FIG. 10, the analysis device 100 includes an input/output interface 150, a network interface 151, a memory 152, and a processor 153.

The input/output interface 150 is an interface for connecting the analysis device 100 to an input/output device. For example, an input device such as a keyboard and an output device such as a display are connected to the input/output interface 150.

The network interface 151 is used to communicate with any other device, such as the head mounted display 200. The network interface 151 may include, for example, a network interface card (NIC).

The memory 152 is configured, for example, by a combination of volatile memory and non-volatile memory. The memory 152 is used to store software (computer programs) including one or more instructions executed by the processor 153, and data used for various processes of the analysis device 100.

The processor 153 reads and executes software (computer programs) from the memory 152 to process each component shown in FIG. 4. The processor 153 may be, for example, a microprocessor, a microprocessor unit (MPU), or a central processing unit (CPU). The processor 153 may include multiple processors.

In this way, the analysis device 100 has the functionality of a computer. The head mounted display 200 may also have a processor and memory, and have the functionality of a computer. Therefore, the functionality of the head mounted display 200 may be realized by the execution of a program by the processor.

In addition, the above-mentioned program can be stored and supplied to a computer using various types of non-transitory computer readable media. Non-transitory computer readable media include various types of tangible storage media. Examples of non-transitory computer readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R/Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). The program may be provided to the computer by various types of transitory computer readable media. Examples of the transitory computer readable medium include an electric signal, an optical signal, and an electromagnetic wave. The transitory computer readable medium may provide the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path.

Next, the operation of the analysis device 100 will be described. FIG. 11 is a flowchart showing an example of the flow of the operation of the analysis device 100. Hereinafter, an example of the flow of the operation will be described with reference to FIG. 11.

In step S100, the user information acquisition unit 101 acquires user information of the subject, user 90.

Next, in step S101, it is determined whether a command to start a simulation has been issued. If a command to start a simulation has been issued (Yes in step S101), the process proceeds to step S102.

In step S102, the analysis device 100 acquires position information and gaze direction information of the user 90 and controls the head mounted display 200 to display a virtual traffic environment. That is, in step S102, the position information acquisition unit 102 acquires position information, the gaze direction acquisition unit 103 acquires gaze direction information, and the display control unit 104 uses this information to display the virtual reality space, all in parallel. During this time, the user 90 moves to cross the road in the virtual reality space.

Next, in step S103, it is determined whether or not a simulation end condition has been satisfied. For example, when the user 90 reaches the goal position 95 in the virtual reality space or collides with the vehicle 93, it is determined that the simulation end condition has been satisfied. When the simulation end condition has been satisfied (Yes in step S103), the process proceeds to step S104.

In step S104, the analysis information generating unit 105 generates analysis information about the crossing by the user 90. The analysis information generating unit 105 generates, for example, one or more of the analysis information described above.

Next, in step S105, the analysis information output unit 106 outputs the analysis information generated by the analysis information generation unit 105 to a display or the like. Note that prior to step S105, the analysis information generated in step S104 may be grouped by the grouping unit 107. In this case, in step S105, the analysis information output unit 106 may output the analysis information grouped by the grouping unit 107.

The above describes the embodiment. According to the analysis device 100, analysis information about a user's crossing of a road is generated using the user's position information in real space. Therefore, according to the analysis device 100, analysis information about crossing can be generated using walking data that is similar to walking performed in an actual traffic environment. Therefore, it is possible to appropriately simulate and analyze the user's crossing of a road.

The present invention is not limited to the above-described embodiments and can be modified as appropriate without departing from the spirit and scope of the invention.

In addition, some or all of the above embodiments may be described as follows, but are not limited to:

(Appendix 1)
A position information acquisition means for acquiring position information of a user in a real space;
a display control means for controlling the display of an image of a virtual reality space in which a vehicle is traveling on a road;
and an analysis information generation means for generating analysis information regarding the user's crossing of the road based on time-series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.
(Appendix 2)
The analysis device described in Appendix 1, wherein the analysis information generation means determines whether or not the user has collided with the vehicle traveling on the road in the virtual reality space based on the time series data, and generates, as the analysis information, information indicating whether or not the user has collided with the vehicle.
(Appendix 3)
The analysis device according to claim 2, wherein the analysis information generating means generates, when it is determined that the user has collided with the vehicle, information indicating a time from a predetermined point in time to a point in time when the collision occurred as the analysis information.
(Appendix 4)
The analysis device according to claim 2 or 3, wherein the analysis information generating means generates, when it is determined that the user has collided with the vehicle, information indicating a point at which the collision occurred as the analysis information.
(Appendix 5)
The analysis device according to any one of claims 1 to 4, wherein the analysis information generating means generates, as the analysis information, information representing a trajectory of movement of the user when crossing the road, based on the time-series data.
(Appendix 6)
The analysis device according to any one of claims 1 to 5, wherein the analysis information generating means generates, as the analysis information, a time taken by the user to cross the road.
(Appendix 7)
The present invention further includes a gaze direction acquisition means for acquiring gaze direction information representing a gaze direction of the user in a real space,
The analysis device according to any one of claims 1 to 6, wherein the analysis information generating means further generates analysis information about a gaze direction when the user crosses the road, based on time series data of the gaze direction information.
(Appendix 8)
The analysis device according to any one of appendices 1 to 7, further comprising a homogeneous user grouping means for grouping the analysis information for a plurality of users generated by the analysis information generation means according to the age or gender of the users.
(Appendix 9)
The analysis device according to any one of claims 1 to 8, further comprising: same-user grouping means for grouping the analysis information generated by the analysis information generating means for the same user.
(Appendix 10)
Acquire the user's location information in the real space;
It controls the display of images of a virtual reality space in which a vehicle is traveling on a road,
generating analytical information regarding the user's crossing based on time-series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.
(Appendix 11)
A position information acquisition step of acquiring position information of a user in a real space;
a display control step of controlling to display an image of a virtual reality space in which a vehicle is traveling on a road;
and an analytical information generating step of generating analytical information regarding the user's crossing based on time series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space.

The present invention has been described above with reference to the embodiment, but the present invention is not limited to the above. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the invention.

This application claims priority based on Japanese Patent Application No. 2021-039149, filed on March 11, 2021, the disclosure of which is incorporated herein in its entirety.

1 Analysis device 2 Position information acquisition unit 3 Display control unit 4 Analysis information generation unit 10 Analysis system 90 User 91 Area 92 Road 93 Vehicle 94 Start position 95 Goal position 96a Trajectory 96b Trajectory 97 Map 100 Analysis device 101 User information acquisition unit 102 Position information acquisition unit 103 Line of sight direction acquisition unit 104 Display control unit 105 Analysis information generation unit 106 Analysis information output unit 107 Grouping unit 150 Input/output interface 151 Network interface 152 Memory 153 Processor 200 Head mounted display

Claims (9)

A position information acquisition means for acquiring position information of a user in a real space;
a display control means for controlling the display of an image of a virtual reality space in which a vehicle is traveling on a road;
and an analysis information generating means for generating analysis information regarding the user's crossing of the road based on time-series data of the user's position in the virtual reality space specified based on the position information when the user crosses the road in the virtual reality space ,
The analysis information generating means generates, as the analysis information, visual data showing a two-dimensional movement trajectory of the user when crossing the road on a map of a traffic environment based on the time series data.
Analysis equipment. The analysis device according to claim 1 , wherein the analysis information generating means determines whether or not the user has collided with the vehicle traveling on the road in the virtual reality space based on the time series data, and generates, as the analysis information, information indicating whether or not the user has collided with the vehicle. The analysis device according to claim 2 , wherein the analysis information generating means generates, when it is determined that the user has collided with the vehicle, information indicating a time from a predetermined point in time to a point in time when the collision occurred as the analysis information. The analysis device according to claim 2 , wherein the analysis information generating means generates, when it is determined that the user has collided with the vehicle, information indicating a point at which the collision occurred as the analysis information. The analysis device according to claim 1 , wherein the analysis information generating means generates, as the analysis information, a time taken by the user to cross the road. The present invention further includes a gaze direction acquisition means for acquiring gaze direction information representing a gaze direction of the user in a real space,
The analysis device according to claim 1 , wherein the analysis information generating means further generates analysis information about a direction of gaze of the user when crossing the road, based on time-series data of the gaze direction information. The analysis device according to claim 1 , further comprising a homogeneous user grouping means for grouping the analysis information for a plurality of users generated by the analysis information generating means according to an age or a sex of the users. Acquire the user's location information in the real space;
It controls the display of images of a virtual reality space in which a vehicle is traveling on a road,
generating analysis information regarding the user's crossing of the road based on time-series data of the user's position in the virtual reality space identified based on the position information when the user crosses the road in the virtual reality space ;
In generating the analysis information, visual data showing a two-dimensional movement trajectory of the user when crossing the road on a map of a traffic environment is generated as the analysis information based on the time series data.
Analysis method. A position information acquisition step of acquiring position information of a user in a real space;
a display control step of controlling to display an image of a virtual reality space in which a vehicle is traveling on a road;
an analysis information generating step of generating analysis information regarding the user's crossing based on time-series data of the user's position in the virtual reality space specified based on the position information when the user crosses the road in the virtual reality space ;
In the analysis information generating step, visual data showing a two-dimensional movement trajectory of the user when crossing the road on a map of a traffic environment is generated as the analysis information based on the time series data.
program.

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