Information processing device

Abstract

To provide an information processing device that can determine motion sickness of other animals than occupant riding in a moving body on the basis of behaviors of the animals.SOLUTION: An information processing device for determining motion sickness of other animals than occupant riding in a moving body acquires a captured image by a camera for imaging an animal, and determines motion sickness of an animal on the basis of behavior data of an animal of which appearance can be observed from the captured image.SELECTED DRAWING: Figure 3

Description

Technical Field

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[0001] The present disclosure relates to an information processing apparatus for determining vehicle sickness of animals.

Background Art

[0002] In recent years, attention has been increasing regarding the riding comfort of vehicles. It is considered that not only humans but also pets require vehicles with good riding comfort. Since pets cannot speak, there are few indicators for measuring the physical condition of pets. In contrast, Patent Document 1 discloses a technique for determining vehicle sickness of passengers and pets based on vital signs such as blood pressure, pulse rate, body temperature, and sweating, reflexes such as chemical reflex, physical reflex, and electrical reflex, or biological signals including at least voluntary movement.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The technique described in Patent Document 1 attempts to determine vehicle sickness of pets in the same way as passengers based on biological signals. However, when an animal gets vehicle sickness, it is considered that it shows unique behaviors. Therefore, it is expected that by establishing a method for determining vehicle sickness of animals based on the behavior of animals, the determination of vehicle sickness of animals can be performed more accurately.

[0005] The present disclosure has been made in view of the above problems, and an object of the present disclosure is to provide an information processing apparatus capable of determining vehicle sickness of an animal other than a passenger riding on a moving body based on the behavior of the animal.

Means for Solving the Problems

[0006] To solve the above problems, according to one aspect of this disclosure, an information processing device is provided for determining motion sickness in animals other than occupants riding in a moving vehicle, comprising one or more processors and one or more memories connected to the one or more processors in a communicative manner, wherein the one or more processors acquire images captured by a camera that photographs the animal, and the information processing device determines motion sickness in the animal based on behavioral data of the animal that can be observed visually from the captured images. [Effects of the Invention]

[0007] As explained above, this disclosure makes it possible to determine motion sickness in animals other than the occupants on a moving vehicle based on the animals' behavior. [Brief explanation of the drawing]

[0008] [Figure 1] This is an explanatory diagram showing an example configuration of a system equipped with an information processing device according to one embodiment of this disclosure. [Figure 2] This is a block diagram showing an example configuration of an information processing device according to the same embodiment. [Figure 3] This is an explanatory diagram showing an example of the configuration of a window adjustment device according to the same embodiment. [Figure 4] This is an explanatory diagram showing another configuration example of the window adjustment device according to the same embodiment. [Figure 5] This is an explanatory diagram showing another configuration example of the window adjustment device according to the same embodiment. [Figure 6] This is a flowchart of the control process by the information processing device according to the same embodiment. [Figure 7] This is an explanatory diagram showing another example configuration of a device for reducing motion sickness in animals. [Modes for carrying out the invention]

[0009] Preferred embodiments of this disclosure will be described in detail below with reference to the attached drawings. In this specification and the drawings, components having substantially the same functional configuration are denoted by the same reference numerals, and redundant descriptions will be omitted.

[0010] <1. System Configuration> First, an example of a system configuration equipped with the information processing device according to this embodiment will be described.

[0011] Figure 1 is an explanatory diagram showing an example configuration of System 1 mounted on a vehicle as a mobile device. System 1 is constructed to determine whether an animal P is experiencing motion sickness and to perform actions to alleviate motion sickness. The example System 1 includes an information processing device 10, a camera 21, a vehicle condition sensor 30, and a window adjustment device 40.

[0012] The information processing device 10 functions as a device that determines motion sickness in animal P by having one or more processors, such as CPUs (Central Processing Units), execute a computer program. In this embodiment, the information processing device 10 also functions as a device that performs processing to alleviate motion sickness in animal P. The computer program is a computer program that causes the processor to execute the operations that the information processing device 10 should perform, as described later. The computer program executed by the processor may be recorded on a recording medium that functions as a memory unit provided in the information processing device 10, or it may be recorded on a recording medium built into the information processing device 10 or on any external recording medium that can be attached to the information processing device 10.

[0013] Recording media for storing computer programs may include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs (Compact Disk Read Only Memory), DVDs (Digital Versatile Disks), and Blu-ray®; magneto-optical media such as floppy disks; memory elements such as RAM (Random Access Memory) and ROM (Read Only Memory); flash memory such as USB (Universal Serial Bus) memory and SSDs (Solid State Drives); and other media capable of storing programs.

[0014] Camera 21 consists of one or more cameras that photograph the animal P inside the vehicle and generate an image. Camera 21 is equipped with an image sensor such as a CCD (Charged-Coupled Device) or CMOS (Complementary Metal-Oxide-Semiconductor) and transmits the generated image to the information processing device 10. Camera 21 may be mounted inside the vehicle or may be equipped in a portable device such as a smartphone.

[0015] The vehicle state sensor 30 consists of one or more sensors that detect information that allows for the determination of whether the vehicle is moving or stopped. The vehicle state sensor 30 may be, for example, an accelerator position sensor, a vehicle speed sensor, or an acceleration sensor, but it may also be any other sensor. These sensors detect behaviors that allow for the determination of whether the vehicle is moving or stopped, such as accelerator opening, vehicle speed, longitudinal acceleration, or lateral acceleration.

[0016] The window adjustment device 40 reduces motion sickness in the animal P by driving a device installed on the vehicle's window according to an operation command output from the information processing device 10. The window adjustment device 40 will be described in detail later.

[0017] <2. Information Processing Devices> Next, a configuration example of the information processing apparatus 10 according to the present embodiment will be described. FIG. 2 is a block diagram showing an example of the configuration of the information processing apparatus 10.

[0018] The information processing apparatus 10 includes a processing unit 11 and a storage unit 19. The processing unit 11 is configured to include one or more processors such as a CPU. Part or all of the processing unit 11 may be configured by something that can be updated such as firmware, or may be a program module or the like that is executed according to instructions from a CPU or the like. The storage unit 19 is configured by a memory such as a RAM or a ROM. The storage unit 19 is communicably connected to the processing unit 11. However, the number and type of the storage unit 19 are not particularly limited. The storage unit 19 stores a computer program executed by the processing unit 11, various parameters used for arithmetic processing, detection data, arithmetic results, and other information.

[0019] As shown in FIG. 2, the processing unit 11 of the information processing apparatus 10 includes an image processing unit 13, a motion sickness determination unit 15, and a motion sickness reduction processing unit 17. Each of these units is a function realized by executing a computer program by a processor such as a CPU. However, a part of each of these units may be configured to include an analog circuit.

[0020] Hereinafter, after briefly explaining the functions of each unit of the processing unit 11, specific processing operations will be described. In the following description, it will be described assuming that the animal P is a dog.

[0021] (2-1.Image Processing Unit) The image processing unit 13 performs image processing on the captured image transmitted from the camera 21, recognizes the animal P, and acquires the animal's behavior data. For example, the image processing unit 13 performs edge processing on the captured image and extracts edge portions where the brightness changes abruptly. Also, the image processing unit 13 compares the extracted edge portions with the characteristic portions of the animal stored in advance, and recognizes the animal P by pattern matching or the like. The image processing unit 13 may recognize the animal P by recognizing the animal's face.

[0022] The image processing unit 13 also acquires behavioral data of the recognized animal. The animal's behavioral data is behavioral data that can be detected based on the image captured by the camera 21, and is behavioral data that can be identified by observing the animal P's appearance. The acquired behavioral data includes, for example, at least one of the following data: the amount of movement (distance traveled), the number of movements, or the time of movement. The amount of movement is the total distance traveled, which can be converted based on the distance traveled (pixel size) in the captured image. If the animal P is walking back and forth, the total distance walked is counted. The number of movements is counted as, for example, the action of the animal P getting up from a lying position, moving, and then lying down again. The time of movement is counted as, for example, the time of movement excluding the time when the animal P is stationary.

[0023] Furthermore, the detected behavioral data may include data on at least one of the following: the number of yawns or the amount of saliva. The amount of saliva may be the number of times saliva was drooled. In addition, the detected behavioral data may be appropriate behavioral data that can identify behaviors that indicate motion sickness, which have been previously identified according to the type of animal P. For example, if animal P is a dog, the behavioral data may include data on the number of times it barked and the direction of its tail. The direction of the tail may be distinguished as upward or downward, etc.

[0024] The image processing unit 13 records the detected behavioral data as data per unit time. The unit time may be, for example, 5 seconds, 10 seconds, 30 seconds, or any other appropriate value. In this case, the image processing unit 13 distinguishes and records whether the behavioral data is of a moving vehicle or a stationary vehicle, according to the detection data acquired from the vehicle state sensor 30.

[0025] (2-2. Motion Sickness Assessment Section) The motion sickness detection unit 15 determines whether animal P is motion sick based on the animal P's behavioral data detected by the image processing unit 13. Specifically, the motion sickness detection unit 15 compares recorded behavioral data of the vehicle while it is stationary with behavioral data of the vehicle while it is moving, and determines that animal P is motion sick if a particular behavior while the vehicle is moving differs from the behavior while the vehicle is stationary. For example, the motion sickness detection unit 15 determines that animal P is motion sick if the amount of movement, number of movements, or movement time of animal P detected while the vehicle is moving increases by a predetermined amount compared to the respective values ​​detected while the vehicle is stationary. This is because animal P becomes restless when it is motion sick. To determine if the increase is above a predetermined amount, for example, the ratio of values ​​per unit time may be determined to be above a predetermined threshold, or the increase may be determined to be above a predetermined threshold.

[0026] Furthermore, the motion sickness detection unit 15 may determine that animal P is motion sick if the number of yawns, barks, or the amount of saliva shows abnormal values. This is because when animal P is motion sick, the number of yawns, barks, and the amount of saliva increase. For example, the motion sickness detection unit 15 monitors the number of yawns, barks, or saliva over time and determines that animal P is motion sick if the time during which any of these values ​​exceeds a predetermined threshold exceeds a predetermined time. In addition, the motion sickness detection unit 15 may determine that animal P is motion sick if its tail is pointing downwards. This is because when animal P is motion sick, its tail droops.

[0027] The motion sickness detection unit 15 may determine that animal P is motion sick when at least one of the above detection conditions is determined to be positive (Yes), or it may determine that animal P is motion sick when the condition that results in a positive determination among the above detection conditions exceeds a predetermined threshold.

[0028] (2-3. Motion sickness reduction processing section) If the motion sickness detection unit 15 determines that the animal P is experiencing motion sickness, the motion sickness reduction unit 17 drives the window adjustment device 40 to perform a process to reduce the motion sickness of the animal P. In system 1 of this embodiment, the motion sickness reduction unit 17 performs a process to reduce the motion sickness of the animal P by means that have a greater impact on the animal P than on the occupants of the vehicle. Specifically, the motion sickness reduction unit 17 drives the window adjustment device 40 so that the proportion of the scenery around the vehicle perceived by the animal P is obstructed is greater than the proportion of the scenery around the vehicle perceived by the occupants, while minimizing the impact on the occupants' driving operation and comfort.

[0029] Figure 3 shows an example of a window adjustment device 40. The window adjustment device 40 shown in Figure 3 is configured as an electric blind device installed on the passenger compartment side of the side window 5. Specifically, the window adjustment device 40 comprises a blind 41 having multiple slats and a motor 43 that changes the angle of the slats. It is known that motion sickness in animals P can be reduced by restricting the animal P's field of vision. Therefore, when the animal P is not motion sick, the angle of the slats of the blind 41 is set to the horizontal direction so that the occupant H and the animal P can see the scenery outside the vehicle. However, when the animal P is motion sick, the angle of the slats of the blind 41 is changed so that the occupant H can see the scenery outside the vehicle, but the animal P cannot see the scenery outside the vehicle. This reduces motion sickness in the animal P.

[0030] Figure 4 shows another example of the window adjustment device 45. The window adjustment device 45 shown in Figure 4 is constructed using a dimmable film that can switch between light transmission and opacity by changing the orientation of the liquid crystal through switching between energization and de-energy. Specifically, the window adjustment device 45 is constructed by stacking three dimmable sheets 46a, 46b, and 46c, each composed of a dimmable section 47 containing liquid crystal material and a transmissive section 48 made of a light-transmitting material, with the positions of the dimmable sections 47 slightly offset. The number of dimmable sheets is not limited to three and can be any number. In such a window adjustment device 45, when de-energized, not only the transmissive section 48 but also the dimmable section 47 transmits light, allowing the view of the scenery outside the vehicle to be seen regardless of the transmission angle, i.e., the angle of the line of sight.

[0031] On the other hand, when the window adjustment device 45 is powered, the orientation direction of the liquid crystal material of the dimming section 47 changes, and the dimming section 47 becomes opaque. Since the positions of the dimming sections 47 of the three dimming sheets 46a, 46b, and 46c are slightly offset, the view outside the vehicle can be blocked depending on the angle of view. Therefore, by designing the arrangement of the dimming sections 47 so that the view outside the vehicle cannot be seen at the viewing angle corresponding to the height of the animal P's head, it is possible to prevent the animal P from seeing the view outside the vehicle. For this reason, when the animal P is not motion sick, the window adjustment device 45 is kept de-powered, while when the animal P is motion sick, the window adjustment device 45 is powered, allowing the occupant H to see the view outside the vehicle, but preventing the animal P from seeing the view outside the vehicle. This reduces motion sickness in the animal P.

[0032] The window adjustment device 45 shown in Figure 4 may be installed separately from the window on the passenger compartment side of the window, or the window itself may be constructed including a light-adjusting sheet.

[0033] These window adjustment devices 40 and 45 restrict the line of sight angle from which the scenery around the vehicle can be seen through the window 5, so that the scenery around the vehicle can be seen from the line of sight angle of the occupant H's head position, but not from the line of sight angle of the animal P's head position. This reduces motion sickness in the animal P.

[0034] Figure 5 shows yet another example of the window adjustment device 50. The window adjustment device 50 shown in Figure 5 is configured to change the window to red or green while maintaining the transparency of the window. This takes advantage of the fact that animals (especially dogs) cannot see red and green and perceive them as gray. The window adjustment device 50 comprises a light-transmitting red or green transparent sheet 51 and a motor 53 that winds or unwinds the transparent sheet 51 by rotating a winding shaft (not shown) in the forward or reverse direction, and is installed on the passenger compartment side of the side window 5. When the animal P is not motion sick, the transparent sheet 51 is rolled up and stored so that the occupant H and the animal P can see the scenery outside the vehicle. On the other hand, when the animal P is motion sick, the transparent sheet 51 is lowered to cover the window 5 so that the occupant H can see the scenery outside the vehicle, but the animal P cannot see the scenery outside the vehicle. This restricts the animal P's field of vision and reduces motion sickness.

[0035] <3.Operation> Next, an example of control processing by the information processing device 10 according to this embodiment will be described. Figure 6 is a flowchart of the main routine of control processing by the processing unit 11 of the information processing device 10.

[0036] First, when the system starts up (step S11), the image processing unit 13 of the processing unit 11 acquires the captured image transmitted from the camera 21 (step S13). Next, the image processing unit 13 performs image processing using the acquired captured image (step S15). The image processing unit 13 recognizes the animal P using techniques such as pattern matching.

[0037] Next, the image processing unit 13 acquires behavioral data of the recognized animal (step S15). The animal's behavioral data is behavioral data that can be detected based on the image captured by the camera 21, and is behavioral data that can be identified by observing the animal P's appearance. For example, the image processing unit 13 detects at least one of the following data: the amount of movement (distance traveled), the number of movements, or the time of movement. The image processing unit 13 may also acquire at least one of the following data: the number of yawns or the amount of saliva. In addition, the image processing unit 13 may acquire appropriate behavioral data that can identify behaviors that show signs of motion sickness, which have been previously identified according to the type of animal P.

[0038] The image processing unit 13 records the detected behavioral data as data per unit time. The unit time may be, for example, 5 seconds, 10 seconds, 30 seconds, or any other appropriate value. In this case, the image processing unit 13 distinguishes and records whether the behavioral data is of a moving vehicle or a stationary vehicle, according to the detection data obtained from the vehicle state sensor 30. The image processing unit 13 acquires captured images at an appropriate sampling period, recognizes the animal P, and detects and records the behavioral data of the animal P.

[0039] Next, the motion sickness detection unit 15 determines whether animal P is motion sick based on the behavioral data of animal P detected by the image processing unit 13. For example, the motion sickness detection unit 15 compares the recorded behavioral data of the vehicle while it is stationary with the behavioral data of the vehicle while it is moving, and determines that animal P is motion sick if a specific behavior while the vehicle is moving differs from the behavior while the vehicle is stationary. For example, the motion sickness detection unit 15 determines that animal P is motion sick if the amount of movement, number of movements, or movement time of animal P detected while the vehicle is moving increases by a predetermined amount compared to the respective values ​​detected while the vehicle is stationary.

[0040] Furthermore, the motion sickness detection unit 15 may determine that animal P is motion sick if the number of yawns, barks, or saliva amounts show abnormal values. For example, the motion sickness detection unit 15 monitors the number of yawns, barks, or saliva amounts over time and determines that animal P is motion sick if the time during which any of these values ​​exceeds a predetermined threshold exceeds a predetermined time. In addition, the motion sickness detection unit 15 may determine that animal P is motion sick if its tail is pointing downwards.

[0041] The motion sickness detection unit 15 may determine that animal P is motion sick when at least one of the above detection conditions is determined to be positive (Yes), or it may determine that animal P is motion sick when the condition that results in a positive determination among the above detection conditions exceeds a predetermined threshold.

[0042] Next, the motion sickness reduction processing unit 17 determines whether or not animal P is experiencing motion sickness based on the result of the motion sickness determination unit 15 (step S19). If animal P is not experiencing motion sickness (S19 / No), the motion sickness reduction processing unit 17 proceeds to step S23 without performing any processing to reduce animal P's motion sickness. On the other hand, if animal P is experiencing motion sickness (S19 / Yes), the motion sickness reduction processing unit 17 performs any processing to reduce animal P's motion sickness (step S21).

[0043] In this embodiment, the motion sickness reduction processing unit 17 reduces motion sickness in the animal P by driving the window adjustment device 40 to restrict the animal P's field of vision. At that time, the motion sickness reduction processing unit 17 performs processing to reduce motion sickness in the animal P by means that have a greater impact on the animal P than on the vehicle occupants, thereby minimizing the impact on the occupants' driving operation and comfort. For example, the motion sickness reduction processing unit 17 changes the flat angle of the blind 41 of the window adjustment device 40 shown in Figure 3, so that the occupants can see the scenery outside the vehicle, while the scenery outside the vehicle cannot be seen by the animal P. In this case, the position of the animal P's head or eyes may be identified based on the captured image transmitted from the camera 21, and the flat angle of the blind 41 may be set so that the scenery outside the vehicle as seen by the animal P is blocked.

[0044] Alternatively, the motion sickness reduction processing unit 17 energizes the window adjustment device 45 shown in Figure 4, so that the occupants can see the scenery outside the vehicle, while the animal P cannot. In this case, the position of the animal P's head or eyes can be identified based on the captured image transmitted from the camera 21, and the amount of displacement of the dimming units 47 of the three dimming sheets 46a, 46b, and 46c can be adjusted so that the scenery outside the vehicle as seen by the animal P is blocked. This adjusts the line of sight angle at which the scenery outside the vehicle can be seen, increasing the certainty that the scenery outside the vehicle can be seen by the occupants, while the scenery outside the vehicle cannot be seen by the animal P.

[0045] Furthermore, by lowering the transparent sheet 51 of the window adjustment device 50 shown in Figure 5, the occupants can see the scenery outside the vehicle, while the animal P cannot see the scenery outside the vehicle. This restricts the animal P's field of vision, thereby reducing motion sickness in the animal P.

[0046] Next, the processing unit 11 determines whether the vehicle's system has stopped (step S23). If the system has not stopped (S23 / No), it returns to step S13 and repeats the processing of each step described above. On the other hand, if the system has stopped (S23 / Yes), the processing unit 11 terminates the process.

[0047] <4. Effects of this embodiment> As described above, the information processing device 10 according to this embodiment detects behavioral data of animals that can be observed externally based on captured images of animals other than the occupants in the vehicle, and determines whether the animals are motion sick based on said behavioral data. Therefore, it is possible to determine that an animal is motion sick when a characteristic behavior that appears when an animal is motion sick is detected.

[0048] For example, the information processing device 10 determines whether an animal is motion sick by comparing at least one piece of information—such as the amount of movement, number of movements, movement time, number of yawns, or number of vocalizations—while the vehicle is stationary with similar information while the vehicle is moving. This allows for easy detection of motion sickness by visual observation of the animal.

[0049] Furthermore, if the information processing device 10 according to this embodiment determines that an animal is suffering from motion sickness, it executes a process to reduce motion sickness using means that have a greater impact on the animal than on the occupants. This makes it possible to reduce motion sickness in animals without significantly reducing the occupants' driving ability or comfort.

[0050] While preferred embodiments of the present disclosure have been described in detail above with reference to the attached drawings, the technology of the present disclosure is not limited to such examples. It is clear to any person with ordinary skill in the art to which the present disclosure belongs that various modifications or alterations may be conceived within the scope of the technical idea set forth in the claims, and these will naturally also be understood to fall within the technical scope of the present disclosure.

[0051] For example, in the above embodiment, motion sickness in animals was reduced by restricting the animal's field of vision, but the technology of this disclosure is not limited to the above example. The motion sickness reduction processing unit may also reduce motion sickness in animals by restricting the sounds that the animal can hear. This is because when an animal experiences motion sickness, the motion sickness is reduced by restricting the sounds that the animal can hear.

[0052] Figure 7 is an explanatory diagram showing an example of a system configuration for reducing motion sickness in animals by limiting the sounds audible to animals. System 1A shown in Figure 7 is a system 1 shown in Figure 1 with the addition of a configuration to reduce motion sickness in animals by limiting the sounds audible to animals, but it does not necessarily require a window adjustment device 40. System 1A includes a microphone 23 for collecting sounds inside the vehicle and a speaker 25 for outputting sound. When the motion sickness reduction processing unit of the information processing device 10 determines that an animal is experiencing motion sickness, it identifies high-frequency sounds in the range exceeding the human audible range from the sounds collected by the microphone 23 and outputs a sound with the opposite phase of those sounds from the speaker 25. As a result, high-frequency sound waves are attenuated, making them difficult for animals to hear, and thus reducing motion sickness in animals. Furthermore, even in this case, there is no change in the audible sound for humans, so discomfort for the occupants can be eliminated.

[0053] Furthermore, although the above embodiments described an example in which the technology of this disclosure is applied to a vehicle as the moving body, the moving body is not limited to a vehicle, but may be any moving body such as a railway or an aircraft. Also, although the above embodiments mainly described pets as animals other than the occupants of the moving body, the technology of this disclosure can also be applied to animals other than pets, such as livestock. [Explanation of symbols]

[0054] 1: System, 5: Window, 10: Information processing device, 11: Processing unit, 13: Image processing unit, 15: Motion sickness detection unit, 17: Motion sickness reduction processing unit, 19: Memory unit, 21: Camera, 23: Microphone, 25: Speaker, 30: Vehicle condition sensor, 40: Window adjustment device, 41: Blind, 43: Motor, 45: Window adjustment device, 46a, 46b, 46c: Dimming sheet, 47: Dimming unit, 48: Transmitting unit

Claims

1. In an information processing device that determines motion sickness in animals other than people riding in a moving vehicle, It comprises one or more processors and one or more memories connected to the one or more processors in a communicative manner, The aforementioned one or more processors Based on sensors placed on the moving body that detect either the accelerator opening, vehicle speed, longitudinal acceleration, or lateral acceleration, it is determined whether the moving body is moving or stopped. To acquire images captured by a camera that photographs the aforementioned animal, The system detects the first behavioral data of the animal using the captured image when it is determined that the moving body is in motion, and detects the second behavioral data of the animal using the captured image when it is determined that the moving body is stationary. The system compares the first behavioral data with the second behavioral data and determines whether the animal is motion sick based on the difference between the first and second behavioral data. The first behavioral data and the second behavioral data are The amount of movement of the animal is calculated based on the pixel size in the captured image. The number of movements of the animal is calculated by counting the actions of the animal from lying down to getting up, moving, and then lying down again as one count, or An information processing device that includes at least one of the following: the time the animal is moving, excluding the time the animal is stationary.

2. The aforementioned one or more processors If it is determined that the animal is suffering from motion sickness, The information processing apparatus according to claim 1, which controls a device capable of restricting the objects that an animal perceives visually or aurally, such that the effect of the restriction on the animal is greater than the effect of the restriction on the human.

3. The one or more processors If it is determined that the animal is suffering from motion sickness, The information processing apparatus according to claim 2, which controls a device capable of adjusting the visibility of the scenery around the moving object by the animal, such that the proportion of the scenery around the moving object that is obstructed as perceived by the animal is greater than the proportion of the scenery around the moving object that is obstructed as perceived by the human.

4. The one or more processors The information processing apparatus according to claim 2, which, when it is determined that the animal is suffering from motion sickness, extracts high-frequency sounds exceeding the human audible range from the sounds collected by the microphone and outputs a sound with the opposite phase of those sounds from a speaker.

Images