KR20190111218A - Method of providing virtual reality based on footprint image pattern analysis - Google Patents

Abstract

The present invention relates to a method for providing virtual reality to recognize a walking motion of a user based on a foot image pattern of the user and synchronize the movement of an avatar in a virtual space with the movement of the user. More specifically, the present invention relates to a method for providing virtual reality based on foot image pattern analysis, which comprises the following steps: projecting the infrared light, which is emitted along the upper surface of the footplate, on the foot of the user located on the footplate which can transmit infrared rays; taking the reflected light reflected by the foot of the user located on the footplate with a camera provided under the footplate to obtain a foot image; analyzing a change pattern of the obtained foot image to recognize the walking motion of the user including the walking direction, the walking speed and the walking type; and synchronizing the recognized walking motion of the user with the movement of the avatar in the virtual space. Accordingly, the method is capable of effectively providing various types of walking simulations within the virtual reality through accurate recognition of the walking motion by the intention of the user with a simple configuration without a separate contact sensor for the user located on a footplate.

Description

Method of providing virtual reality based on footprint image pattern analysis

The present invention relates to a virtual reality providing method for recognizing a walking motion of a user based on a foot image pattern of a user and synchronizing the movement of an avatar in a virtual space with the movement of the user. Projecting infrared rays irradiated along the upper surface of the footrest on the foot of the user located to capture the reflected light reflected by the foot of the user located on the footboard with a camera provided under the footrest to obtain a foot image, By analyzing the pattern of change and recognizing the walking behavior of the user, that is, the direction of walking, the walking speed and the walking type, and synchronizing the recognized walking behavior of the user with the avatar movement in the virtual space, Accurate according to user's intention with simple configuration without contact sensor Walking through the motion recognition effectively simulate various types of gait pattern analysis relates to the mark image-based virtual reality provides methods that can be provided in a virtual reality.

The virtual reality system is to reproduce the movement of the user and the environment changes associated with it in the virtual space, so that the user can feel the movement of the virtual reality as the actual movement.

The conventional virtual reality device provides a realistic graphic environment to a user by providing various types of stereoscopic simulation images through a screen and manipulating an integrated controller according to a situation that a user takes place on the screen. Through a locomotion device that combines motion with virtual reality, a user can feel the motion of virtual reality more realistically.

Such locomotion devices are typically upper body motion recognition devices for recognizing user's hand movements, and treadmill devices for recognizing the user's walking. In particular, the treadmill device has an orbital treadmill type for recognizing a user's one-way walking. In addition, it is divided into a sliding treadmill type for recognizing the user's walking in all directions.

Recently, due to the development of virtual reality content, the track treadmill type that recognizes simple straight walks has a limitation in realizing the movement of avatars in the content. Therefore, the sliding treadmill type that can recognize motion such as omnidirectional movement and jump is mainly used. Is being developed.

1 is a view showing the structure of a conventional walking detection device of the sliding plate treadmill type.

Referring to FIG. 1, in the case of a sliding treadmill type walk detection interface device disclosed in Korean Patent Registration No. 10-1435366 “Walking detection interface device and a method for providing walking information using the same”, the support 40 is supported by a pedestal 40. By having a walking guide portion 10 that is a circular sliding plate and a plurality of piezoelectric sensor walking detection portion 20 provided on the walking guide portion 10 and the stop portion 30 that the user can wait in the center When the user walks on the walking induction part 10, the plurality of walking detection units 20, which are in contact with the foot of the user, recognize the walking direction, the walking speed, and the like of the user and synchronize with the avatar on the virtual reality.

However, in the case of the gait detection method, the piezoelectric sensing method, because a plurality of piezoelectric sensors such as the gait detection unit 20 is in direct contact with the user's foot or pressed or rolled in a way to detect the walking, In the walking speed detection, if the user's foot is not properly pressed or rolled, a recognition error occurs, the accuracy is lowered, and the apparatus is enlarged and complicated by a plurality of piezoelectric sensors.

In addition, the sliding plate treadmill method is suitable for performing forward walking, but in the case of backward walking, the user loses the sense of balance while moving the sliding plate by backward walking, or there is a problem that it is difficult to perform a desired operation. When the virtual reality is implemented by the head mounted display (HMD) method of displaying the entire field of view, the problem of loss of balance is doubled.

Therefore, there is an increasing need for development of a virtual reality providing method capable of accurately determining a walking direction without an additional body mounting configuration and recognizing forward and backward as well as left and right movement.

Republic of Korea Patent Registration No. 10-1435366 (Registration Date: 2014.08.22) "Pedestrian detection interface device and method of providing pedestrian information using the same"

The present invention is to solve the above problems, by projecting the infrared light irradiated along the upper surface of the foot on the foot of the user located on the foot through the infrared transmission reflected light reflected by the foot of the user located on the foot to the foot A foot image is obtained by using a camera provided, and the walking pattern of the user is recognized by analyzing the change pattern of the foot image, thus recognizing the walking direction, the walking speed, and the walking type. By synchronizing with the movement of the avatar in the virtual space, it is possible to effectively provide various types of walking simulations in the virtual reality by recognizing accurate walking motions according to the user's intention with a simple configuration without the need of a separate touch sensor for the user located on the footrest. The purpose.

In order to achieve the above object, the infrared ray image of the user's foot reflected from the foot of the user located on the foothold is photographed through a camera provided under the footboard capable of transmitting infrared rays, and the photographed foot image pattern is analyzed to analyze virtual reality. A method comprising: acquiring a scaffold bottom image including a foot reflected light of a user through the camera; Extracting a foot image from the obtained scaffold bottom image; Determining a moving body heading direction of the moving body of the user through the extracted foot image; Setting a virtual azimuth region on a scaffold bottom image based on the direction of the user's fuselage; Determining a walking direction of the user by recognizing a bearing area where the foot image is located according to the set azimuth area, and determining a walking speed and a walking type of the user according to a detection frequency of the foot image; And synchronizing the movement of the user with the movement of the avatar in the virtual space according to the walking direction, the walking speed, and the walking form.

In accordance with the present invention, the method for providing a virtual reality based foot image pattern analysis includes projecting infrared rays irradiated along the upper surface of the foot to the foot of the user positioned on the foot which can transmit infrared light, thereby scaffolding the reflected light reflected by the foot of the user positioned on the foot. Acquire foot prints by using a camera provided on the lower part, and analyze the change pattern of the foot prints thus obtained to recognize the walking motion of the user, that is, the walking direction, the walking speed, and the walking type. By synchronizing the movement with the movement of the avatar in the virtual space, it is possible to determine the correct walking according to the user's intention with a simple configuration without a separate contact sensor for the user located on the footrest, and also to divide the foothold area by section During walking, the driver can recognize not only forward and backward movements but also left and right movements. As a result, the convenience of use is improved as compared with the conventional method of providing virtual reality based on piezoelectric sensing, and it is effective to effectively provide various types of walking simulations in the virtual reality through accurate walking motion recognition.

1 is a view showing the structure of a conventional walking detection device of the sliding plate treadmill type
2 is a diagram showing the structure of a foot image acquisition device applied to a method for providing a foot-based image analysis based virtual reality according to an embodiment of the present invention;
3 is a flowchart sequentially showing a method of providing foot-based image pattern analysis-based virtual reality according to an embodiment of the present invention.
4 is a view showing foot images obtained from the foot reflected light projected on the bottom surface of the scaffold in an embodiment of the present invention;
5 is a view showing the foot image and the pattern box shape according to the foot when the user takes a sitting position in one embodiment of the present invention
Figure 6 is a view showing the setting of the bearing area on the scaffolding according to the user fuselage direction in one embodiment of the present invention
FIG. 7 is a view illustrating a process of recognizing a walking direction of a user according to an azimuth region in which foot images are located in an embodiment of the present invention.

EMBODIMENT OF THE INVENTION Hereinafter, although the Example of this invention is described in detail, this invention is not limited to a following example, unless the summary is exceeded.

1 is a view illustrating a structure of a conventional sliding plate treadmill type walk detection device. As described above, in the piezoelectric sensing method, a plurality of piezoelectric sensors are directly contacted with a user's foot to be pressed or rolled. As it detects walking, when it is not pressed or rolled properly in the direction of walking or speed of walking, a recognition error occurs and walking recognition accuracy decreases, and a plurality of piezoelectric sensors increase the size and complexity of the device. there was.

In addition, such a sensor detection method is suitable for performing forward walking, but in the case of backward walking, the user loses his or her sense of balance while moving the sliding plate with backward walking, or there is a problem that it is difficult to perform a desired motion. As in the virtual reality system for tactical simulation for a shooting game, there is a problem that it is difficult to apply to a simulation in which the change of walking direction is suddenly progressed or the movement of sideways, backward, etc. is frequently required.

FIG. 2 is a diagram illustrating a structure of a foot image acquisition device applied to a foot image analysis method based on virtual foot pattern providing method according to an exemplary embodiment.

Referring to Figure 2, foot print image acquisition apparatus according to an embodiment of the present invention, infrared transmissive scaffold 100; A light source unit 200 projecting infrared rays along the upper surface of the scaffold 100 toward the center of the scaffold 100; And a camera 300 provided below the scaffold 100 to capture the reflected light of the user foot reflected by infrared rays to obtain a foot image. And a display 400 that visually implements virtual reality to a user.

In more detail, the light source unit 200 provided along the outer circumferential surface of the scaffold 100 is along the upper surface of the scaffold 100 formed of an infrared transmissive material (acrylic, polycarbonate, etc.), and the center of the upper surface of the scaffold 100. When the infrared light is projected toward the infrared ray, the projected infrared rays hit and scatter scattered around the user's foot. Among them, the infrared rays reflected to the bottom of the footrest 100 pass through the footboard 100 that is transparent to the footrest 100. Reflected downward, the camera 300 provided under the scaffold 100 captures the reflected light to acquire foot images.

In addition, as described below in the following description of the present invention, by analyzing the acquired foot image, the user grasps a walking direction, a walking speed, a walking shape, and the like to synchronize the movement of the avatar in the virtual reality with the display 400 By expressing the virtual reality through) can provide a realistic virtual reality to the user.

In this case, the display 400 for providing virtual reality may use a head mounted display (HMD) or an omnidirectional screen display screen.

3 is a flowchart sequentially showing a method of providing foot-based image pattern based virtual reality according to an exemplary embodiment of the present invention.

As shown in FIG. 3, the present invention relates to a virtual reality providing method for synchronizing a user's movement with an avatar in a virtual space by recognizing a walking motion of a user using the foot image obtaining apparatus described above. Obtaining a scaffold bottom image including the foot reflected light of the user through the camera 300 (S100); Extracting a foot image from the obtained scaffold bottom image (S200); Determining a moving body heading direction of the moving body of the user through the extracted foot image (S300); Setting a virtual azimuth region in the scaffolding bottom image based on the user's fuselage direction (S400); Determining a walking direction of the user by recognizing a bearing area where the foot image is located according to the set azimuth area, and determining a walking speed and a walking type of the user according to the detection frequency of the foot image (S500); And synchronizing the movement of the user and the movement of the avatar in the virtual space according to the walking direction, the walking speed, and the walking type of the user (S600). Accurate walking direction determination is possible without the sensor device in direct contact with the sensor.

Hereinafter, a method for providing a virtual reality-based virtual reality providing method according to the present invention shown in the flowchart of FIG. 3 will be described in more detail with reference to FIGS. 4 to 7.

FIG. 4 is a view showing foot images obtained from the foot reflected light projected on the bottom surface of the scaffold in one embodiment of the present invention.

In detail, first, in the step (S100) of acquiring the bottom image of the scaffold 100, as shown in FIG. 4, the reflected light reflected by the scattered and reflected infrared rays of the user's foot by the light source unit 200 is reflected. Since the shape of the outer circumferential surface of the foot is displayed as it is, the bottom image of the footrest 100 including the infrared reflected light of the foot shape is obtained by the camera 300 photographing the bottom of the footrest 100.

Subsequently, the foot image extraction step (S200) of selectively detecting only foot images is performed from the bottom image obtained in the scaffold 100 as described above. The extraction of the foot images, first, speeds up the extraction of the foot images. In order to binarize the obtained scaffold bottom image.

This is a task to increase the computational speed required for image filtering to extract the foot image through the binarization of the scaffold bottom image, and thus it is possible to immediately perform the foot detection in a short time through the improvement of the computation speed.

 Then, the noise reflected light other than foot prints is removed from the binarized scaffold bottom image as described above, so that the average size of the foot prints is recognized in advance, so that the reflected light or noise images having a smaller size than the foot prints are detected. By discriminating and automatically removing, unnecessary reflection light except for foot prints is removed from the scaffold bottom image to facilitate foot image extraction.

Therefore, in extracting foot prints, it is possible to increase the accuracy and calculation speed of foot print image extraction by performing binarization on the scaffold bottom image and removing noise reflection light.

Next, in step S300 of determining the direction of the user's fuselage, the direction of both feet is estimated, and the centerline of each of the footprints is extracted to recognize the direction of the user's fuselage.

In detail, first, in the extracted foot image, a pair of imaginary pattern boxes incorporating the outer circumferential surface of the foot image of both feet are formed, and the direction of the foot marks in the pair of pattern boxes formed as described above is determined and judged. By generating a pair of imaginary foot center line dividing the pattern box in the longitudinal direction according to the direction, the center direction of dividing the angle of the pair of foot center line is determined as the user's fuselage direction.

Specifically, first, the formation of the pattern box, a pair of rectangular pattern box that can recognize the outer circumferential surface of the pair of foot image extracted in the step of extracting the foot image, and can embed the outer circumferential surface of each foot image To generate.

Then, each foot center line is generated on the pattern box, which is for estimating the direction of each foot on which the pattern box is formed, and the estimation of the foot direction is performed by estimating both ends in the longitudinal direction of the foot shape. In the shape of both ends, a relatively narrow and round end is judged as the rear, a relatively wide and irregular end is considered as the front, and the foot foot is recognized, and the imaginary foot center line dividing the pattern box in the longitudinal direction Create each to identify the center direction of each foot image.

Next, the determination of the direction that the user's fuselage is watching determines the central direction that bisects the angles between the pair of foot centerlines generated as described above as the user's fuselage direction.

In this manner, in the present invention, it is possible to accurately estimate the direction that the user's fuselage is looking on based on bilateral images without additional devices attached to the user's body.

On the other hand, in the present invention, after the step (S300) of judging the direction that the user's fuselage is watching as described above, the step of determining whether the user is standing or knee sitting state further It may also include.

5 is a view showing a foot image and a pattern box shape according to the user's knees to take a posture in an embodiment of the present invention.

As shown in (a) of FIG. 5, when the user sits on the knee, one of the foot images of the feet is reduced in length compared to the other, which is the knee sitting position, and one of both feet is fully footed. It is supported on the (100), because the other side is in contact with the heel away from the footrest 100, it is possible to determine whether the user is standing or kneeling state by recognizing the difference in the length of both feet. .

That is, as shown in (b) of FIG. 5, in this case, a pair of imaginary pattern boxes incorporating the foot circumferential surface of both feet in the extracted foot image are formed, and the length of each of the pair of pattern boxes is contrasted with each other. Thus, when the length of one pattern box is formed to be a relatively small length less than a certain ratio compared to the length of the other, and also if this state is maintained for a predetermined time, it is determined that the user is sitting on the knees.

At this time, the size of a pair of foot image may be slightly different from each other, depending on the shape of the foot of the user, in order to clearly determine whether the user is sitting on the knee, the relatively small of the pair of contrasting pattern box Set the standard value to be judged by the kneeling position with respect to the length of the pattern box.

That is, when the length of the relatively small pattern box is less than a predetermined ratio compared to the length of the other pattern box, it is determined that the user is sitting on the knees.

For example, in one embodiment of the present invention, when the length of the relatively small pattern box of the pair of pattern box is 70% or less than the length of the other pattern box, it is maintained for a certain time, for example, for more than 1 second Judging by sitting on the knee.

Therefore, it is possible to determine the user's left hand movement without the additional device attached to the user's body only by analyzing the foot image.

6 is a view showing the setting of the azimuth on the footrest according to the user's fuselage direction in one embodiment of the present invention.

In the setting of the azimuth region (S400), as shown in FIG. 6, a virtual azimuth region is set on the bottom image of the footrest 100 based on the direction of the user's trunk gaze line.

Such azimuth region is preferably such that the footrest 100 is divided into eight regions: front, rear, left, right and front left, front right, rear left, rear as shown in FIG. 6 (a). 6 (b), when the user switches directions during the walking operation and the direction of the user's body gaze line changes, the azimuth region is also synchronized according to the changed direction.

At this time, the azimuth region, as shown in Figure 6, so that the center and the front to be recognized as the same area, in order to be able to be recognized as performing the forward walking, even if you perform the step in the center In this case, the area including the front area and the center area is determined as the forward walking performance area.

Then, in the walking direction, the walking speed and the walking shape determination step (S500), in accordance with the user's walking, the direction of the foot image is recognized to determine the walking direction of the user according to the recognized bearing area, The walking speed and walking type of the user are determined according to the detection frequency of the image.

FIG. 7 is a view illustrating a process of recognizing a walking direction of a user according to an azimuth region in which foot images are located in an embodiment of the present invention.

First, referring to FIG. 7, the determination of the walking direction according to the azimuth area is determined as a forward walk when the foot image is located in the forward area including the front and center areas, and when the foot image is located in the left area, the left direction is determined. If it is located in the front area, the front area, the front right area, the rear left area, or the rear right area, it is determined to be the right step when the step is located in the right area and the rear area. It can be judged in the direction of walking.

Basically, the determination of the walking direction is determined as the walking direction of the corresponding defense area when both bilateral images enter the target defense area as shown in FIG.

In addition, as shown in (b) and (c) of FIG. 7, when one of the bilateral images is located in the forward area and the other is located in the other azimuth area other than the forward area, the position of the user's fuselage gaze line is determined. Determine the walking direction according to the direction of defense.

For example, as shown in FIG. 7, when one of the pair of foot images is located in the front region and the other is located in the right region, a user body formed between the two foot images as shown in FIG. 7B. If the gaze line is located in the front region, it is determined to be a forward walk. As shown in (c) of FIG. 7, if the gaze line of the user body is within the right region, it is determined that the user watches the front and moves sideways to the right.

Therefore, in the conventional piezoelectric sensing method, a plurality of piezoelectric sensors are directly contacted with the foot of the user, and the walking type recognition, such as left and right side steps, backward steps, etc. In this way, it is possible to recognize various types of walking required in virtual reality systems for tactical simulation for military training or shooting games.

Next, the calculation of the walking speed is to determine a moving frequency of the user by checking a detection frequency in which a pair of foot images are alternately recognized according to the user's walking, and the user lifts the foot for walking. Recognizing the process of putting on a step to determine the walking speed by measuring the frequency of these steps.

In this case, the stride length of the avatar in the virtual reality is calculated according to the recognized walking speed, which is to simulate the increase in the walking speed in proportion to the increase in the walking speed. The stride length of the avatar may be increased in proportion, and the control of the stride length may be performed by reflecting the calculated walking speed as it is, or the stepping control may be performed by classifying the walking speed into stepped walking patterns.

In the case of controlling the stride length by reflecting the calculated walking speed, as an example, in the present embodiment, the minimum stride length of the avatar is calculated within the range of 30 cm or more and less than 50 cm when the detection frequency of the foot image is low within 3 times per second. In addition, when the detection frequency is 7 or more times per second, the maximum stride length is calculated in the range of 1.5 m or more and less than 2 m, that is, the stride length of the avatar can be controlled in the range of 30 cm to 2 m.

When the walking speed is divided into stepped walking forms, the walking speed may be divided into three steps of general walking, breaking and running, or four steps of general walking, breaking, running, and sprinting.

For example, in the present embodiment, if the foot image detection frequency is within 3 times per second, the general step, breaking more than 3 times or less than 5 times, running if less than 5 times or less than 7 times, and determining 7 times or more as sprint According to the classification of the walking type, the stride of the avatar operating in the virtual space is 30 cm or more and less than 50 cm for general walking, 50 cm or more and less than 80 cm for breaking news, 80 cm or more and less than 1.5 m for running, sprint In the case of 1.5m or more and less than 2m in the category can be controlled to reflect the change in the stride length according to the walking type.

Therefore, even if the user walks at an irregular frequency, the user recognizes the walking pattern as designated by the detection frequency range, thereby shortening the calculation speed according to the walking speed calculation and enabling stable walking speed recognition.

Finally, in the step S600 of synchronizing the movements of the avatars, the movements of the avatars in the virtual space displayed on the display 400 are synchronized according to the walking direction, the walking speed, and the walking form.

That is, the virtual reality is determined by comprehensively determining the direction of the user's fuselage perceived according to the user's fuselage line, the walking direction according to the position of the user's foot in the set azimuth region, the walking speed and the walking type according to the detection frequency of the foot image. Synchronize the movement of the avatar within the determined walking direction, walking speed and walking form.

Thus, by providing the virtual reality synchronized with the recognized walking direction, walking speed, and walking type as described above to the user through the display 400, since the user can control the avatar in the virtual reality exactly as the user intended, the virtual Training simulation effects can be maximized due to increased immersion into reality.

As described above, the foot image analysis method based on the virtual reality providing method according to the present invention, by projecting the infrared radiation irradiated along the upper surface of the foot on the foot of the user located on the foot which can transmit infrared rays to the foot of the user located on the foot The foot light image is obtained by photographing the reflected light reflected by the user, and the change pattern of the foot image is acquired to recognize the walking motion of the user, that is, the walking direction, the walking speed, and the walking type, thereby recognizing the walking motion of the recognized user. By synchronizing with the movement of the avatar in the virtual space, it is possible to determine the correct walking according to the user's intention with a simple configuration, without a separate contact sensor for the user located on the footrest, and also to separate the area of the foothold by section In operation, it is possible to recognize not only forward and backward movements, but also left and right movements. Compared to the existing method of providing virtual reality based on piezoelectric sensing, it is easy to use and at the same time, it is effective to effectively provide various types of walking simulations in virtual reality through accurate walking motion recognition.

The present invention is not limited by the above-described embodiment and the accompanying drawings, and it is common knowledge in the art that various substitutions, modifications, and changes can be made without departing from the technical spirit of the present invention. It is clear to those who have

100: scaffold 200: light source
300: camera 400: display

Claims (14)

In the method of providing a virtual reality by photographing the infrared image of the user's foot reflected from the foot of the user located on the footrest through a camera provided under the infrared transmission footrest, and analyzing the photographed foot image pattern,
Obtaining a scaffold bottom image including the foot reflected light of the user through the camera;
Extracting a foot image from the obtained scaffold bottom image;
Determining a moving body heading direction of the moving body of the user through the extracted foot image;
Setting a virtual azimuth region on a scaffold bottom image based on the direction of the user's fuselage;
Determining a walking direction of the user by recognizing a bearing area where the foot image is located according to the set azimuth area, and determining a walking speed and a walking type of the user according to a detection frequency of the foot image; And
Synchronizing the movement of the user with the movement of the avatar in the virtual space according to the walking direction, walking speed, and walking type;
Method of providing a virtual reality based on foot image pattern analysis, characterized in that configured to include.
The method of claim 1,
Determining the user's fuselage direction direction,
From the extracted foot image, form a pair of imaginary pattern boxes incorporating the foot circumference of the foot image of both feet,
In each of the pair of pattern boxes, judging the direction in which each foot is directed, and generates a pair of virtual foot line center for dividing the pattern box in the longitudinal direction according to the determined direction,
Foot image pattern analysis-based virtual reality providing method characterized in that for determining the center direction dividing the angle of the pair of foot center line in the user's fuselage direction.
The method of claim 2,
After determining the moving direction of the user's fuselage,
The method according to the foot image analysis, characterized in that it further comprises the step of determining whether the user's left by the extracted foot image.
The method of claim 3, wherein
In the step of determining whether the user is left,
In contrast to the length of each of the pair of pattern box, when the length of one pattern box is maintained for a predetermined time or less in a predetermined ratio or less than the length of the other pattern box, it is determined that the user has taken the position to knee A method for providing virtual reality based on foot image pattern analysis.
The method of claim 4, wherein
In the step of determining whether the user is left,
If the length of one pattern box is maintained for more than 1 second in a state that is less than 70% of the length of the other pattern box, the foot image pattern analysis-based virtual reality providing method, characterized in that it is determined that the user is sitting on the knee.
The method of claim 1,
In the step of extracting the foot image,
Binarizing the obtained scaffolding bottom image,
Foot image image analysis-based virtual reality providing method characterized in that the foot image extracted by removing noise reflected light other than the foot image from the binarized scaffold bottom image.
The method of claim 1,
The setting of the virtual azimuth region is
And based on the user's fuselage visual direction, the footrest is divided into eight areas including front, rear, left, right, front left, front right, rear left, and rear right.
The method of claim 7, wherein
The determination of the walking direction according to the azimuth region,
Foot prints characterized in that the user's gait is classified into forward, backward, left and right side steps, and diagonally step of front left, front right, rear left, and right sides according to the separated area on the foothold where the foot image of the user is located. Pattern analysis-based virtual reality providing method.
The method of claim 1,
The calculation of the walking speed is,
Foot image analysis based on virtual foot pattern providing method, characterized in that for calculating the walking speed based on the frequency of detecting foot image according to the user's walking.
The method of claim 9,
Based on the calculated walking speed, the footsteps of the avatar in the virtual reality foot pattern image analysis based virtual reality providing method, characterized in that.
The method of claim 10,
The stride length of the avatar, the footstep image pattern analysis-based virtual reality providing method characterized in that the increase in proportion to the increase in the walking speed.
The method of claim 10,
The stride length of the avatar is based on foot image pattern analysis based virtual reality, characterized in that it is calculated in the range of more than 30cm or less than 2m.
The method of claim 1,
The determination of the walking form,
According to the calculated walking speed, the movement of the avatar is divided into three steps of general steps, breaking news and running, or general steps, breaking news, running and power sprinting.
The method of claim 13,
In accordance with the determined walking pattern,
Footsteps, characterized by controlling the stride length of the avatar in the virtual reality to 30cm or more and less than 50cm, breaking and more than 50cm or more and less than 80cm, running, 80cm or more and less than 1.5m, and sprinting 1.5m or more and less than 2m. Method of providing virtual reality based on image pattern analysis.

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