JP2018206246A - Walking pattern measurement system and method - Google Patents

Abstract

To provide a walking pattern measurement system in which a person who measures and who wears a measurement unit walks and measures a walking pattern, for easily, quickly and correctly determining a walking pattern.SOLUTION: A walking pattern measurement system comprises: a first measurement unit and a second measurement unit which are worn by a person who measures; and a data processing unit which is connected to the first measurement unit and the second measurement unit so as to communicate. The first measurement unit comprises: a peripheral distance measurement device for measuring a distance to a peripheral object which exists in the surrounding of the person who measures; and a walking moving image photographing device for photographing a moving image on a footing of the person who measures. The second measurement unit comprises a grounded foot detecting device for detecting a foot which is grounded of the person who measures, the data processing unit determines an occupancy area of the person who measures, based on the measurement value of the peripheral distance measurement device, then based on the moving image of the walking moving image photographing device and the grounded foot detecting device, determines a walking pattern of the person who measures.SELECTED DRAWING: Figure 1

Description

  The present disclosure relates to a walking pattern measurement system and method.

  Conventionally, in the premises of stations, passages inside and outside buildings, etc., the crowd walking pattern was measured to obtain basic data with the aim of creating an environment in which pedestrians can walk smoothly and comfortably even when crowded. To be done. Therefore, a method has been proposed in which a camera is installed on the premises of a station and the walking speed of a pedestrian is calculated based on the captured image (see, for example, Patent Document 1). In addition, a method of detecting a pedestrian's position coordinates by installing a laser scanner on the floor has also been proposed (see Non-Patent Document 1, for example).

JP 2011-070384 A

Ozumi, Sakamoto, “Research on passenger flow in homes using laser technology”, JR EAST Technical Review No. 33, pp. 43-46

  However, the conventional technique cannot accurately measure the walking speed and position of the pedestrian. When an image is taken with a camera, the position and walking speed of the pedestrian that is the subject of photographing cannot be measured depending on the installation position and the angle of view. Also, when using a laser scanner, if the density of pedestrians increases, the laser is blocked by the pedestrians in front, so that it is impossible to acquire data on pedestrians in the center of the crowd.

  Here, it is possible to easily, quickly and accurately obtain a walking pattern by solving a problem of the conventional technique and measuring a walking pattern while a measurer wearing a measurement unit walks. An object of the present invention is to provide a walking pattern measurement system and method.

  For this purpose, the walking pattern measurement system includes a first measurement unit and a second measurement unit worn by a measurer, and a data processing unit that is communicably connected to the first measurement unit and the second measurement unit. The first measurement unit includes a peripheral distance measurement device that measures a distance to a peripheral object existing around the measurer, and a walking moving image photographing device that captures a moving image of a foot of the measurer. The measurement unit includes a grounding foot detection device that detects a foot that is grounded by the measurer, and the data processing unit obtains an area occupied by the measurer based on a measurement value of the peripheral distance measurement device, The walking pattern of the measurer is obtained based on the moving image of the walking moving image photographing device and the detection value of the ground contact foot detecting device.

  In another walking pattern measurement system, the first measurement unit is mounted near the waist of the measurer, and the peripheral distance measuring device measures a distance to a peripheral object within a predetermined angular range in the horizontal direction. The walking moving image capturing device captures an image of a predetermined screen range by capturing a downward direction, and the second measurement unit is mounted on the footwear of both feet of the measurer, and the grounding state of the foot is determined based on the pressure. To detect.

  In still another walking pattern measuring system, the measuring person's walking pattern further includes a walking trajectory and a walking speed.

  In still another walking pattern measurement system, the walking trajectory is obtained by superimposing a series of a plurality of foot images acquired at a predetermined time period.

  In still another walking pattern measurement system, the walking speed is obtained based on the distance between the screen ranges of a series of a plurality of foot images acquired at a predetermined time period.

  In still another walking pattern measurement system, the measurer walks in a predetermined place with other pedestrians, and the data processing unit determines the degree of congestion of the predetermined place from the occupied area of the measurer. And the walking pattern of the entire pedestrian at the predetermined place is acquired from the walking pattern of the measurer.

  In the walking pattern measurement method, the first measurement unit worn by the measurer measures the distance to a peripheral object existing around the measurer and shoots a video of the measurer's feet, Based on the step of detecting the feet of the measurer in contact with the second measurement unit worn by the measurer and the distance to the surrounding object existing around the measurer, the occupied area of the measurer is determined. And obtaining a walking pattern of the measurer based on a moving image of the measurer's foot and the foot of the measurer in contact with the ground.

  In another walking pattern measurement method, the step of walking the predetermined place by mixing the measurer with other pedestrians, and acquiring the congestion degree of the predetermined place from the occupied area of the measurer, A step of acquiring a walking pattern of the entire pedestrian at the predetermined location from the walking pattern of the measurer.

  According to the present disclosure, a measurer wearing a measurement unit measures a walking pattern while walking. Thereby, a walking pattern can be calculated | required easily and rapidly and correctly.

It is a schematic diagram which shows the walking pattern measuring system in this Embodiment. It is a schematic diagram which shows the 1st measurement unit in this Embodiment. It is a photograph which shows the 1st measurement unit in this Embodiment. It is a schematic diagram which shows the method of measuring the circumference distance of the measurer in this Embodiment. It is a flowchart which shows the operation | movement which measures the circumference | surroundings distance of the measurer in this Embodiment. It is a schematic diagram which shows the method of drawing a walk locus | trajectory from the image of the step of a measurer in this Embodiment. It is a schematic diagram which shows the method of calculating a walking speed from the image of the step of a measurer in this Embodiment. It is a flowchart which shows the operation | movement which measures the measurement person's walking speed in this Embodiment.

  Hereinafter, the present embodiment will be described in detail with reference to the drawings.

  FIG. 1 is a schematic diagram showing a walking pattern measurement system in the present embodiment, FIG. 2 is a schematic diagram showing a first measurement unit in the present embodiment, and FIG. 3 is a photograph showing the first measurement unit in the present embodiment. is there. 3A is a photograph showing a state in which the prototype of the first measurement unit is attached to the measurer, and FIG. 3B is a photograph showing the prototype of the first measurement unit.

  In the figure, reference numeral 10 denotes a walking pattern measurement system according to the present embodiment, for example, a system for measuring a walking pattern of a pedestrian on a sidewalk, a station premises or platform, a passage inside or outside a building, and the like. In addition, the place where the walking pattern of the pedestrian is measured is not limited to the above-mentioned sidewalk, station premises and platforms, passages inside and outside the building, and any place where the pedestrian walks. There may be. As shown in FIG. 1, the walking pattern measurement system 10 includes a first measurement unit 11 and a second measurement unit 13 as measurement units attached to a measurer 15 that is a pedestrian, and the first measurement. A data processing unit 21 that is communicably connected to the unit 11 and the second measurement unit 13 is provided.

  In the present embodiment, the expressions indicating directions such as up, down, left, right, front, back, etc. used to explain the configuration and operation of each part of the walking pattern measurement system 10 and other devices are as follows. It is not absolute but relative, and is appropriate when each part of the walking pattern measurement system 10 and other devices is in the posture shown in the figure. It should be interpreted according to changes.

  The data processing unit 21 is, for example, a personal computer (PC), a tablet terminal, a smartphone, or the like, and includes a calculation screen such as a CPU, a storage device such as a semiconductor memory or a hard disk, a display screen such as a liquid crystal display or an EL display. A display device, an input device such as a keyboard and a touch panel, a wired or wireless communication device, and the like can be provided to communicate with the first measurement unit 11 and the second measurement unit 13, and the first measurement unit 11 and the second measurement unit 13 can be communicated. Any apparatus may be used as long as the apparatus can process the measurement results and can store, display, and / or output the measurement results or calculation results to an external apparatus such as a printer. That is, the data processing unit 21 shows the walking pattern of the measurer 15 wearing the first measurement unit 11 and the second measurement unit 13 based on the measurement values of the first measurement unit 11 and the second measurement unit 13. Any device that can calculate data may be used.

  As shown in FIG. 2, the first measurement unit 11 includes a walking moving image capturing device 11 a that is a camera that captures a moving image of the foot of the measurer 15, and other pedestrians and passages existing around the measurer 15. A measuring device 15 is provided with a peripheral distance measuring device 11b, which is a laser positioning sensor for measuring a distance to a peripheral object 16, which will be described later, such as a wall, an installation object, etc., and the walking moving image photographing device 11a and the peripheral distance measuring device 11b And a fixing device 12 which is a belt for fixing and mounting. The first measurement unit 11 may be attached to any part of the body of the measurer 15, but as shown in FIGS. 1 and 3, the first measurement unit 11 is preferably attached near the waist.

  With the first measurement unit 11 mounted in the vicinity of the waist of the measurer 15, the shooting direction of the walking moving image shooting device 11a is the downward direction as shown by the arrow A in FIG. 15 feet can be photographed. Further, the positioning direction of the peripheral distance measuring device 11b is a horizontal direction as indicated by an arrow B in FIG. 2, and measures the distance to the peripheral object 16 around the measurer 15 within a predetermined angle range. be able to. In addition, when the horizontal positioning range of the peripheral distance measuring device 11b is, for example, 180 degrees, by attaching the peripheral distance measuring device 11b to the front surface and the back surface in the vicinity of the waist of the measurer 15, respectively. The distance to the surrounding object 16 existing in the entire circumference of the measurer 15, that is, in the range of 360 degrees can be measured.

  The second measuring unit 13 includes a grounding foot detection device that is a pressure-sensitive sensor mounted on the footwear of both feet of the measurer 15. Since the second measurement unit 13 detects which of the left and right feet of the measurer 15 is in contact with the ground, the stride, the walking locus, etc. of the measurer 15 can be accurately grasped.

  Then, the measurer 15 wearing the first measurement unit 11 and the second measurement unit 13 is mixed with other pedestrians to walk a predetermined place, and the measurement results of the first measurement unit 11 and the second measurement unit 13 are obtained. By receiving and processing by the data processing unit 21, it becomes possible to accurately measure the walking patterns of many pedestrians walking in the predetermined place. For example, it is possible to accurately measure the walking pattern of the crowd in the station premises during rush hours by causing the measurer 15 to walk with other pedestrians in the station premises during morning and evening rush hours. Thereby, for example, it becomes possible to grasp the relationship between the increase in crowd density and the decrease in walking speed, the change in walking speed for each walking place, and the like.

  Further, for example, by selecting a movement constrained person such as a visually impaired person or an elderly person as the measurer 15, it is possible to grasp in what walking pattern the movement constrained person walks.

  Further, for example, by causing the measurer 15 to use a smartphone and walking while so-called, what kind of walking pattern a pedestrian who walks while walking will have an effect on other pedestrians It is possible to grasp whether or not

  Next, the operation of the walking pattern measurement system 10 having the above configuration will be described. First, an operation for measuring the peripheral distance of the measurer 15 will be described.

  FIG. 4 is a schematic diagram showing a method for measuring the peripheral distance of the measurer in the present embodiment, and FIG. 5 is a flowchart showing an operation for measuring the peripheral distance of the measurer in the present embodiment. 4A is a diagram showing a method for measuring the peripheral distance, and FIG. 4B is a diagram showing a method for calculating an occupied area.

  First, the measurer 15 wearing at least the first measurement unit 11 is mixed with other pedestrians to walk. Here, for convenience of explanation, there are no objects such as passage walls and installation objects around the measurer 15, and only other pedestrians exist as the peripheral objects 16 as shown in FIG. 4. Shall.

  Then, when communication with the first measurement unit 11 is possible, the data processing unit 21 starts measuring the peripheral distance at an arbitrary timing. Note that the measurement start time is t = 0.

  First, in step S <b> 1, the data processing unit 21 collects distance information with respect to the peripheral object 16. As shown in FIG. 4A, the peripheral distance measurement device 11 b of the first measurement unit 11 is a pedestrian that is attached to the front surface and the back surface of the measurer 15 and exists around the entire measurer 15. The peripheral object 16 is irradiated with laser light, and the distance to the peripheral object 16 is measured. Then, the data processing unit 21 collects the distance to the peripheral object 16 as distance information with respect to the peripheral object 16 at a predetermined time period Δt. The Δt is 0.2 [seconds], for example, but can be set arbitrarily.

  Next, in step S <b> 2, the data processing unit 21 calculates the occupation area 17 of the measurer 15. Specifically, the occupation area 17 of the measurer 15 is calculated based on the distance to the peripheral object 16 collected in step S1, as shown in FIG. For example, a half value of the distance to each peripheral object 16 is integrated and calculated as the occupied area 17. Thereby, the occupation area 17 of each pedestrian can be obtained as an index representing the density of the crowd.

  Finally, in step S3, the data processing unit 21 determines whether or not the measurement is finished. Then, when the measurement is finished, the process is finished, and when the measurement is not finished, the process returns to step S1, and the subsequent operations are repeated.

Next, a flowchart will be described.
Step S1: Collect distance information with the surrounding object 16.
Step S2: The area 17 occupied by the measurer 15 is calculated.
Step S3: It is determined whether the measurement has been completed. If the measurement is finished, the process is finished. If the measurement is not finished, the process returns to step S1, and the subsequent operations are repeated.

  Next, an operation for measuring the walking speed of the measurer 15 will be described.

  FIG. 6 is a schematic diagram illustrating a method for drawing a walking trajectory from an image of a measurer's foot in the present embodiment, and FIG. 7 is a schematic diagram illustrating a method for calculating a walking speed from an image of the measurer's foot in the present embodiment. FIG. 8 is a flowchart showing an operation for measuring the walking speed of the measurer in the present embodiment. In addition, in FIG. 6, (a)-(c) is a figure which shows each process which draws a walk locus | trajectory, and in FIG. 7, (a)-(e) is a figure which shows the image of the step for every time period. is there.

  Here, the measurer 15 wearing the first measurement unit 11 and the second measurement unit 13 is mixed with other pedestrians to walk. When the data processing unit 21 can communicate with the first measurement unit 11, the data processing unit 21 starts measuring the walking speed at an arbitrary timing.

  First, in step S11, the data processing unit 21 acquires an image. Specifically, an image of the feet of the measurer 15 captured by the walking moving image capturing apparatus 11a is acquired at a predetermined time period Δt.

  Next, in step S12, the data processing unit 21 acquires pressure sensor information. Specifically, the detection signal output by the grounded foot detection device, which is a pressure sensor as the second measurement unit 13 attached to the footwear of both feet of the measurer 15, is acquired.

  Subsequently, in step S13, the data processing unit 21 determines whether or not both feet are grounded. The data processing unit 21 can determine whether the left and right feet of the measurer 15 are grounded based on the detection signal of the ground foot detection device as the second measurement unit 13. If both feet are grounded, the process proceeds to step S14. If both feet are not grounded, the process proceeds to step S22.

  In step S14, the data processing unit 21 determines whether or not both feet are in contact with the ground one cycle before. Specifically, it is determined whether or not both feet are grounded based on the detection signal of the grounding foot detection device acquired Δt before the current time t (timing t−Δt). If both feet are grounded, the process proceeds to step S15. If both feet are not grounded, the process proceeds to step S19.

  In step S15, the data processing unit 21 determines whether there is a foot replacement flag. If there is a foot replacement flag, the process proceeds to step S16. If there is no foot replacement plug, the process proceeds to step S17.

  In step S16, the data processing unit 21 extracts the same foot position and orientation as traced one cycle before, and proceeds to step S26. Specifically, the position and orientation of the same foot as the foot of the measurer 15 traced at the timing of t−Δt is extracted from the image of the foot of the measurer 15 acquired at the time of the current time t, and the process proceeds to step S26. move on.

  In step S17, the data processing unit 21 extracts the position and orientation of the foot opposite to that traced one cycle ago. Specifically, the data processing unit 21 determines the position and orientation of the foot opposite to the foot of the measurer 15 traced at the timing of t−Δt from the image of the foot of the measurer 15 acquired at the time of the current time t. To extract.

  Next, in step S18, the data processing unit 21 sets a foot exchange flag and proceeds to step S26.

  In step S19, the data processing unit 21 determines whether or not the left foot was grounded one cycle before. Specifically, it is determined whether or not the left foot is grounded based on the detection signal of the grounding foot detection device acquired Δt before the current time t (timing t−Δt). If the left foot is in contact with the ground, the process proceeds to step S20. If the left foot is not in contact with the ground, the process proceeds to step S21.

  In step S20, the data processing unit 21 extracts the position and orientation of the left foot and proceeds to step S26. Specifically, the position and orientation of the left foot are extracted from the image of the foot of the measurer 15 acquired at the current time t, and the process proceeds to step S26.

  In step S21, the data processing unit 21 extracts the position and orientation of the right foot, and proceeds to step S26. Specifically, the position and orientation of the right foot are extracted from the image of the foot of the measurer 15 acquired at the current time t, and the process proceeds to step S26.

  In step S22, the data processing unit 21 defeats the foot replacement flag.

  Next, in step S23, the data processing unit 21 determines whether or not the left foot is grounded. Specifically, it is determined whether or not the left foot is grounded based on the detection signal of the ground foot detecting device acquired at the timing of the current time t. If the left foot is grounded, the process proceeds to step S24. If the left foot is not grounded, the process proceeds to step S25.

  In step S24, the data processing unit 21 extracts the position and orientation of the left foot, and proceeds to step S26. Specifically, the position and orientation of the left foot are extracted from the image of the foot of the measurer 15 acquired at the current time t, and the process proceeds to step S26.

  In step S25, the data processing unit 21 extracts the position and orientation of the right foot, and proceeds to step S26. Specifically, the position and orientation of the right foot are extracted from the image of the foot of the measurer 15 acquired at the current time t, and the process proceeds to step S26.

  In step S26, the data processing unit 21 superimposes the current image on the previous one image. Specifically, in step S16, step S17, step S20, step S21, step S24 or step S25, the position and orientation of the right foot or left foot of the image of the foot of the measurer 15 acquired at the timing of t−Δt are extracted. The image of the foot of the measurer 15 acquired at the timing of the current time t is superimposed on the image of the foot of the measurer 15 acquired at the timing of t−Δt so that the position and orientation of the foot that has been matched. Thereby, the walking track of the measurer 15 can be obtained.

  In the example illustrated in FIG. 6A, the foot image of the measurer 15 acquired one cycle before, that is, at the timing of t−Δt includes the left and right foot images 23. In addition, 23a has shown the image of the leg | foot which is earth | grounding (in the example shown to Fig.6 (a), a right leg). Reference numeral 24 denotes a screen range captured by the walking moving image capturing apparatus 11a.

  Then, when the image of the foot of the measurer 15 acquired at the timing of the current time t is superimposed on the image of the foot of the measurer 15 acquired at the timing of t−Δt, as illustrated in FIG. Become.

  As shown in FIG. 6A, both feet are grounded at the timing of the current time t, and only the right foot is grounded at the timing of t−Δt, so the example shown in FIG. This corresponds to the case where the current image is overlaid on the previous one image in step S26 through step S21 in the flowchart. That is, the position and orientation of the right foot of the image acquired at the timing of t−Δt are matched with the position and orientation of the right foot of the image acquired at the timing of the current time t, and the image is acquired at the timing of t−Δt. The acquired image is superimposed on the image acquired at the timing of the current time t.

  Then, by repeating such an operation and overlaying a series of images of the feet of the plurality of measurers 15 acquired at a predetermined time period Δt, as shown in FIG. 6C, the walk of the measurer 15 A trajectory can be drawn.

  Next, in step S27, the data processing unit 21 calculates the walking speed from the elapsed time and the moving distance. Specifically, Δt, which is the elapsed time from one cycle before to the current time, and the screen range 24 taken by the walking moving image capturing apparatus 11a acquired (at the timing of t−Δt) one cycle ago and the current time ( The walking speed of the measurer 15 is calculated based on the distance from the screen range 24 captured by the acquired walking moving image capturing apparatus 11a (at the timing of the current time t). The distance between the two screen ranges 24 can be obtained by measuring the distance between the center points of each screen range 24.

  In the example shown in FIG. 7, it is acquired at the timing of t + Δt as shown in FIG. 7B from the center point of the screen range 24 acquired at the timing of the current time t as shown in FIG. Since the distance to the center point of the displayed screen range 24 is L1, the walking speed V1 of the measurer 15 during the period from t to t + Δt is L1 / Δt.

  Similarly, the walking speed V2 of the measurer 15 in the period from t + Δt to t + Δt × 2 from the center point of the screen range 24 shown in FIGS. 7B to 7E is L2 / Δt, and from t + Δt × 2. It can be seen that the walking speed V3 of the measurer 15 in the period from t + Δt × 3 is L3 / Δt, and the walking speed V4 of the measurer 15 in the period from t + Δt × 3 to t + Δt × 4 is L4 / Δt.

  For example, when calculating the relationship between the crowd density and the walking speed, the walking speed corresponding to the density at time t + Δt is V2.

  The distances between the center points of the screen range 24 acquired at different timings by Δt, L1, L2, L3, L4... Count the number of pixels between the center points. One pixel can be calculated by multiplying the corresponding length. Further, the length corresponding to one pixel is calibrated in advance, a member having a predetermined length (for example, a length of 1 [m]) is photographed by the walking moving image photographing apparatus 11a, and the photographed screen range is captured. It can be obtained by counting the number of pixels corresponding to the length of the member included in 24.

  Finally, in step S28, the data processing unit 21 determines whether or not the moving image has ended. Specifically, it is determined whether or not the walking moving image capturing apparatus 11a has acquired all the images captured at a predetermined time period Δt. Then, if the moving picture is finished, the process is finished. If the moving picture is not finished, the process returns to step S11 and the subsequent operations are repeated.

Next, a flowchart will be described.
Step S11: An image is acquired.
Step S12: Pressure sensor information is acquired.
Step S13: It is determined whether or not both feet are in contact with the ground. If both feet are grounded, the process proceeds to step S14, and if both feet are not grounded, the process proceeds to step S22.
Step S14: It is determined whether or not both feet are grounded one cycle before. If both feet are grounded, the process proceeds to step S15, and if both feet are not grounded, the process proceeds to step S19.
Step S15: It is determined whether there is a foot replacement flag. If there is a foot replacement flag, the process proceeds to step S16, and if there is no foot replacement plug, the process proceeds to step S17.
Step S16: The same foot position and orientation as those traced one cycle before are extracted.
Step S17 The position and orientation of the foot opposite to that traced one cycle before is extracted.
Step S18: A foot exchange flag is set.
Step S19: It is determined whether or not the left foot is in contact with the ground one cycle before. If the left foot is grounded, the process proceeds to step S20. If the left foot is not grounded, the process proceeds to step S21.
Step S20: Extract the position and orientation of the left foot.
Step S21: The position and orientation of the right foot are extracted.
Step S22: Defeat the foot replacement flag.
Step S23: It is determined whether or not the left foot is grounded. If the left foot is grounded, the process proceeds to step S24. If the left foot is not grounded, the process proceeds to step S25.
Step S24: Extract the position and orientation of the left foot.
Step S25: The position and orientation of the right foot are extracted.
Step S26 The current image is superimposed on the image one cycle before.
Step S27 The walking speed is calculated from the elapsed time and the moving distance.
Step S28: It is determined whether or not the moving image has ended. If the moving image has ended, the process ends. If the moving image has not ended, the process returns to step S11 to repeat the subsequent operations.

  As described above, the walking pattern measurement system 10 according to the present embodiment can communicate with the first measurement unit 11 and the second measurement unit 13 worn by the measurer 15, and the first measurement unit 11 and the second measurement unit 13. The first measurement unit 11 includes a peripheral distance measurement device 11b that measures the distance to the peripheral object 16 existing around the measurer 15, and a video of the foot of the measurer 15. The second measurement unit 13 includes a grounding foot detection device that detects a foot that is grounded by the measurer 15, and the data processing unit 21 is a measurement of the peripheral distance measurement device 11b. The occupying area 17 of the measurer 15 is obtained based on the value, and the walk of the measurer 15 is determined based on the moving image of the walking moving image photographing device 11a and the detection value of the grounding foot detecting device. Seek the turn. In the walking pattern measurement method, the first measurement unit 11 worn by the measurer 15 measures the distance to the peripheral object 16 existing around the measurer 15 and shoots a moving image of the foot of the measurer 15. Measurement is performed based on the step, the step of detecting the grounded foot of the measurer 15 by the second measurement unit 13 worn by the measurer 15, and the distance to the surrounding object 16 existing around the measurer 15. And calculating the walking pattern of the measurer 15 based on the moving image of the foot of the measurer 15 and the foot of the measurer 15 in contact with the ground. Thereby, a walking pattern can be calculated | required easily and rapidly and correctly.

  The first measurement unit 11 is mounted near the waist of the measurer 15, the peripheral distance measuring device 11b measures the distance to the peripheral object 16 within a predetermined angular range in the horizontal direction, and the walking moving image photographing device 11a is The second measurement unit 13 is attached to the footwear of both feet of the measurer 15 and detects the ground contact state of the foot based on the pressure. Accordingly, the measurer 15 can wear the first measurement unit 11 and the second measurement unit 13 without feeling a burden, easily and accurately measure the distance to the peripheral object 16, and display the screen. The image of the range 24 can be acquired and the ground contact state of the foot can be detected.

  Further, the walking pattern of the measurer 15 includes a walking locus and a walking speed. The walking trajectory is obtained by superimposing a series of images of a plurality of feet acquired at a predetermined time period. Further, the walking speed is obtained based on the distance between the screen ranges 24 of a series of a plurality of foot images acquired at a predetermined time period. Accordingly, it is possible to obtain an accurate walking trajectory and walking speed of the measurer 15.

  Further, the measurer 15 walks in a predetermined place with other pedestrians, and the data processing unit 21 acquires the degree of congestion of the predetermined place from the occupied area 17 of the measurer 15, and the walking pattern of the measurer 15. To obtain a walking pattern of the entire pedestrian in a predetermined place. Therefore, it is possible to accurately measure the walking pattern of a pedestrian walking in a crowded place.

  It should be noted that the disclosure of the present specification describes features related to preferred and exemplary embodiments. Various other embodiments, modifications and variations within the scope and spirit of the claims attached hereto can naturally be conceived by those skilled in the art by reviewing the disclosure of this specification. is there.

  The present disclosure can be applied to a walking pattern measurement system and method.

DESCRIPTION OF SYMBOLS 10 Walking pattern measurement system 11 1st measurement unit 11a Walking animation imaging device 11b Perimeter distance measurement device 13 Second measurement unit 15 Measurer 16 Peripheral object 17 Occupied area 21 Data processing unit 23, 23a Image 24 Screen range

Claims (8)

A first measurement unit and a second measurement unit worn by a measurer;
A data processing unit communicably connected to the first measurement unit and the second measurement unit;
The first measurement unit includes a peripheral distance measuring device that measures a distance to a peripheral object that exists around the measurer, and a walking moving image photographing device that photographs a video of the measurer's feet,
The second measurement unit includes a grounded foot detection device that detects the foot of the measurer in contact with the ground,
The data processing unit obtains the area occupied by the measurer based on the measurement value of the peripheral distance measurement device, and based on the moving image of the walking moving image photographing device and the detection value of the grounding foot detection device, A walking pattern measurement system characterized by obtaining a walking pattern. The first measurement unit is mounted in the vicinity of the waist of the measurer, the peripheral distance measuring device measures a distance to a peripheral object within a predetermined angle range in a horizontal direction, and the walking moving image photographing device is in a downward direction. Take a picture to get an image of the specified screen range,
The walking pattern measurement system according to claim 1, wherein the second measurement unit is attached to the footwear of both feet of the measurer and detects a ground contact state of the foot based on pressure.   The walking pattern measurement system according to claim 1, wherein the walking pattern of the measurer includes a walking locus and a walking speed.   The walking pattern measurement system according to claim 3, wherein the walking trajectory is obtained by superimposing a series of a plurality of foot images acquired at a predetermined time period.   The walking pattern measurement system according to claim 3, wherein the walking speed is obtained based on a distance between screen ranges of a series of the foot images acquired at a predetermined time period.   The measurer walks in a predetermined place mixed with other pedestrians, and the data processing unit obtains the degree of congestion of the predetermined location from the area occupied by the measurer, and from the walking pattern of the measurer The walking pattern measurement system according to claim 1, wherein the walking pattern of the entire pedestrian at a predetermined location is acquired. A step of measuring a distance to a surrounding object existing around the measurer by a first measurement unit worn by the measurer and photographing a video of the measurer's feet;
Detecting the grounding foot of the measurer by the second measurement unit worn by the measurer;
Based on the distance to the surrounding object existing around the measurer, the area occupied by the measurer is obtained, and based on the video of the measurer's feet and the feet that the measurer is grounded, the measurer And a step of obtaining a walking pattern. Mixing the measurer with other pedestrians and walking a predetermined place;
The method according to claim 7, further comprising: acquiring a congestion degree of the predetermined place from the occupied area of the measurer, and acquiring a walking pattern of the entire pedestrian in the predetermined place from the walking pattern of the measurer. Walking pattern measurement method.