JP2010069229A - Device for foot type classification - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To easily judge physical capabilities in terms of walking of a subject person. <P>SOLUTION: A part 144 for detecting an arch of a foot detects parameters showing a state of an arch of a foot of a sole of the subject person from a contact region 69 making a contact with the sole of the subject person in a pressure distribution sensor 11. In accordance with the parameters, a part 145 for detecting a tilting state of an ankle detects a tilting state of an ankle joint of the subject person, and a part 143 for detecting a bent state of a sole detects a bent state of the sole of the subject person. A classification part 146 classifies a foot type of the subject person into a flat type, a pronated foot type, an outward loaded foot type, a supinated foot type, a hollow foot type, a plantar arch deformed foot type, and a normal foot type which are indexes for the physical capabilities in terms of walking based on a detected result by the part 145 and the part 143. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  INDUSTRIAL APPLICABILITY The present invention is used to determine an exercise program of a patient who has reduced exercise ability related to walking due to aging, illness, injury, etc., and to restore the exercise ability of the patient. The present invention relates to a foot type classification device.

  Match the instructed center of gravity position while confirming the center of gravity position of the patient in the standing position using the load cell in order to recover the motor ability of the patient whose ability to walk is reduced due to aging, illness, injury, etc. As described above, a technique for training a patient to move the position of the center of gravity is known (see Patent Document 1).

Japanese Unexamined Patent Publication No. 07-275307 (FIG. 4)

  Since the exercise ability differs depending on the patient, the above-described technique may not be appropriately trained to restore the exercise ability of the patient. In this regard, after the instructor knows the patient's motor ability by instructing the patient to perform various actions, the instructor instructs the appropriate exercise program to restore the patient's motor ability. Since it is based on the instructor's many years of experience, it is difficult to accurately grasp the motor ability of the patient.

  A main object of the present invention is to provide a foot type classification device that can easily grasp the exercise ability related to walking of the measurement subject.

  The foot type classification device of the present invention includes a pressure distribution sensor having a plurality of pressure detection areas for detecting pressure applied from a person to be measured, and the pressure distribution when the person to be measured is stationary on the pressure distribution sensor. Detecting means for detecting a load state of the person to be measured on the pressure distribution sensor from an output value corresponding to the pressure detected in each of the plurality of pressure detection areas included in the pressure distribution data from the sensor; and the detection Foot type classification means for classifying the foot shape of the person to be measured based on the detection result of the means.

  According to the present invention, the pressure distribution sensor is used to classify the foot shape of the person to be measured, which is an index of the motor ability related to walking, so that the motor ability related to walking of the person to be measured can be easily grasped. Thereby, it is possible to easily instruct an appropriate exercise program for recovering the exercise ability of the measurement subject.

  In the present invention, the foot type classifying unit detects a tilt state in the left-right direction of each ankle joint of the measurement subject on the pressure distribution sensor from the detection result of the detection unit, and the target is measured based on the detected tilt state. It is preferable to classify a person's foot type. According to this, since the foot forms are classified according to the inclination state of the ankle joint related to the exercise ability relating to walking, the exercise ability relating to the walking of the measurement subject can be accurately grasped.

  At this time, when the ankle joint classifying means detects that the ankle joint of the measurement subject is tilted inward, the foot shape classification means classifies the measurement subject's ankle shape into a pronation foot type, When it is detected that the ankle joint is inclined outward at an angle equal to or less than the first threshold, the ankle joint of the subject is classified as an outer load foot, and the ankle joint of the subject is the first threshold When it is detected that the body is inclined outward at an angle exceeding, it is more preferable to classify the foot type of the person to be measured as a pronation type. According to this, a to-be-measured person's foot type | mold can be easily classify | categorized into a pronation foot type | mold, a lateral load foot type | mold, and a supination foot type | mold suitable as a parameter | index of the exercise ability regarding walking.

  In these, among the contact areas where the foot type classifying means is in contact with the soles of the measurement subject in the pressure distribution sensor, the front area is a front area from the center in the front-rear direction of the measurement target. Is divided into an inner region that is an inner region from the center in the left-right direction and an outer region that is an outer region from the center, and the difference between the pressure applied to the inner region and the pressure applied to the outer region From the above, the tilt state may be detected. According to this, the inclination state of the ankle joint can be quickly detected by a simple algorithm.

  At this time, it is preferable that the foot type classifying means integrates the values of the pressures applied to the inner area and the outer area in a state where the person to be measured is stationary on the pressure distribution sensor for a predetermined time. According to this, even when the stationary state of the measurement subject is unstable, the inclination state of the ankle joint of the measurement subject can be accurately detected.

  In the present invention, the foot type classifying unit detects a curved state of each sole of the measurement subject on the pressure distribution sensor based on a detection result of the detecting unit, and based on the detected curved state. It is preferable to classify the foot type of the person to be measured. According to this, since the foot type is classified according to the curved state of the sole related to the athletic ability relating to walking, the athletic ability relating to the walking of the measurement subject can be accurately grasped.

  At this time, the foot type classifying means corresponds to the center of gravity position of the heel corresponding to the position of the heel of each foot of the measurement subject and the position of the center of gravity of the second finger of the sole in the pressure distribution sensor. Detecting the curved state based on the length of the arch line segment that is a part of the center of the foot long line connecting the second finger barycenter position and is located outside the contact area in contact with the sole. Is more preferable. According to this, the curved state can be easily detected.

  Further, at this time, the foot type classifying means may set the point where the highest pressure is applied as the position of the center of gravity of the heel in an area 1/4 from the rear end of the contact area in the front-rear direction of the person to be measured. Even more preferred. According to this, it is possible to easily obtain an accurate heel center of gravity position.

  In these, the foot type classifying means sets a position at a predetermined ratio from the inside as a virtual second finger barycentric position in an area where the length in the horizontal direction of the person to be measured in the contact area is the longest, and the virtual second finger It is preferable that an intersection of a straight line passing through the center of gravity position and the heel center of gravity position and a straight line extending in the left-right direction while being in contact with the front end in the front-rear direction in the contact area is set as the second finger center-of-gravity position. According to this, even if the second finger is not in contact with the pressure distribution sensor, it is possible to estimate the second finger barycenter position.

  In the present invention, it is preferable that the foot shape classifying unit classifies the foot shape of the person being measured as a flat foot shape when the length of the arch line segment is 0. According to this, the foot shape of the person to be measured can be easily classified into a flat foot shape that is suitable as an index of athletic ability related to walking.

  In the present invention, the foot type classifying means has an arch line segment length ratio, which is a ratio of the length of the arch line segment to the length of the foot length line, exceeding 0 and not more than a second threshold value. In some cases, it is preferable to classify the foot pattern of the person being measured as a arch and a deformed foot pattern. According to this, according to this, the foot type of the person to be measured can be easily and accurately classified into the arch deformed foot type, which is suitable as an indicator of the ability of movement related to walking without being affected by the size of the sole. Can do.

  In the present invention, the foot type classifying means is a width that is a ratio of the shortest length in the left-right direction of the measurement subject in the vicinity of the center in the front-rear direction of the measurement subject related to the contact area with respect to the length of the foot length line. More preferably, the curved state is detected based on the ratio. According to this, the curved state can be detected more accurately without being affected by the size of the sole.

  At this time, it is preferable that the foot shape classifying unit classifies the foot shape of the person to be measured as a concave foot shape when the width ratio is equal to or less than a third threshold value. According to this, the foot shape of the person to be measured can be easily classified into the concave foot shape that is suitable as an index of the exercise ability related to walking.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. FIG. 1 is an external view showing a schematic configuration of a foot type classification device of the present embodiment. FIG. 2 is a functional block diagram of the foot type classification device 1.

  The foot type classification device 1 is a flat type, pronation foot type, outer load corresponding to the characteristics of the exercise ability related to walking, when the measurement subject is stationary on the pressure distribution sensor 11. It is classified into a foot type, a supination foot type, a concave foot type, a arch deformed foot type, and a normal foot type (described later). The instructor understands the athletic ability related to the walking of the person to be measured based on the result of the foot type classification of the person to be measured by the foot type classifying apparatus 1, and executes an exercise program for recovering the athletic ability of the person to be measured. Instruct.

  As shown in FIG. 1, the foot type classification device 1 includes a sheet-like pressure distribution sensor 11, a pressure detection unit 12 connected to the pressure distribution sensor 11, a personal computer (personal computer) 20, a pressure detection unit 12, A connection unit 40 for connecting the personal computer 20 is provided. The connection unit 40 includes an interface box 45 and an interface cable 46, and both ends thereof are connected to the pressure detection unit 12 and input / output interfaces (not shown) of the personal computer 20.

  The pressure distribution sensor 11 has a pressure detection region in which a large number of pressure sensitive sensors 11a are arranged in a grid pattern. The thickness of the pressure distribution sensor 11 is about 0.1 to 0.2 mm. A detection plate having sufficient rigidity for the measurement subject to stand on it is not necessary, and both feet of the measurement subject can be placed on the pressure distribution sensor 11. The pressure distribution sensor 11 can be used as a single sheet, but a rubber sheet may be laminated for buffering from the viewpoint of protecting the sheet. Further, for the purpose of facilitating the setting on the floor, the sensor may be laminated on a metal or resin plate such as aluminum that holds the sensor.

  The pressure detection unit 12 is connected to each of a number of pressure sensitive sensors 11a and detects the state of each pressure sensitive sensor 11a. In the present embodiment, the state of each pressure sensor 11a is represented by a digital output value of 0 to 255 corresponding to the pressure applied to them. The pressure detection unit 12 outputs this digital output value to the personal computer 20.

  The personal computer 20 includes a display 21, a keyboard 25, a mouse 26, and a control unit 30 (see FIG. 2). Here, the control unit 30 generates a hard disk in which a foot type classification program and data for controlling various operations related to the foot type classification device 1 are stored, and a signal for controlling the operation of each part of the foot type classification device 1. Therefore, a CPU for executing various calculations, a RAM for temporarily storing data such as calculation results in the CPU, and the like are included.

  As shown in FIG. 2, the control unit 30 includes a detection unit 131, a foot type classification unit 141, and a display control unit 151. In addition, a display 21, a keyboard 25, and a mouse 26 are connected to the control unit 30.

  The detection unit 131 detects a load state of the measurement subject on the pressure distribution sensor 11 and has a pressure distribution data storage unit 132. The pressure distribution data storage unit 132 will be described with reference to FIG. FIG. 3 is a diagram illustrating a load state on the pressure distribution sensor 11 when the person to be measured is stationary on the pressure distribution sensor 11. In FIG. 3, the load state is displayed in a form of isobaric lines (each contact area 69 in contact with each sole of the person to be measured).

  The pressure distribution data storage unit 132 stores the pressure distribution data transmitted from the pressure detection unit 12 to the personal computer 20 via the connection unit 40. The pressure distribution data storage unit 132 stores pressure distribution data (detection results) every sample time within the measurement time for each of a large number of pressure sensitive sensors 11 a arranged in a grid pattern on the pressure distribution sensor 11. That is, the pressure distribution data of many pressure-sensitive sensors 11a at one detection time corresponding to each sample time is stored for the number of detection times. Based on this pressure distribution data, it is possible to grasp the temporal change in pressure detected by each pressure sensor 11a. Therefore, it is possible to detect not only the pressure distribution indicating the load state on the pressure distribution sensor 11 as shown in FIG. 3 but also the temporal change of the pressure distribution.

  Returning to FIG. 2, the foot type classifying unit 141 classifies the foot type of the subject based on the detection result of the detecting unit 131, that is, the pressure distribution data stored in the pressure distribution data storage unit 132. In the present embodiment, the foot shape when the subject is stationary on the pressure distribution sensor 11 is classified. In addition, the foot type classifying unit 141 includes an area cutout unit 142, a sole curved state detecting unit 143, an ankle tilt state detecting unit 145, and a classifying unit 146.

  Based on the pressure distribution data stored in the pressure distribution data storage unit 132, the region cutout unit 142 cuts out each contact region 69 in contact with each sole of the measurement subject in the pressure distribution sensor 11 by the rectangular region 70. Is. As shown in FIG. 3, the rectangular area 70 includes two straight lines extending in the left-right direction while contacting the front end and the rear end with respect to the person to be measured in the contact area 69 of each foot, and the left end. And two straight lines extending in the front-rear direction while contacting the right end and the right end. Thereby, one contact area 69 is cut out by the rectangular area 70.

  Returning to FIG. 2, the sole curved state detecting unit 143 detects the curved state of the sole of the person to be measured, and includes an arch detecting unit 144.

  The arch detector 144 will be described with reference to FIG. FIG. 4 is a diagram for explaining the function of the arch detection unit 144. The arch detecting unit 144 detects a parameter indicating the state of the arch on the sole of the measurement subject. Specifically, as shown in FIG. 4, the arch detection unit 144 detects a position 37.5% from the inside as the virtual second finger barycenter position P1 in the largest width Wmax in the left-right direction in the contact region 69. . In addition, the arch detection unit 144 detects a point where the highest pressure is applied as the heel center-of-gravity position P2 in the partial region 74 that is ¼ from the rear end in the front-rear direction in the rectangular region 70. Further, the arch detection unit 144 detects a second finger barycentric position P3 that is an intersection of a straight line passing through the heel barycentric position P2 and the virtual second finger barycentric position P1 and the front edge of the rectangular area 70, and further A foot length line H extending from the center of gravity position P2 to the second finger center of gravity position P3 is determined, and the length L1 of the foot length line H is detected. Here, the ideal foot length line is a straight line connecting the gravity center position of the second finger and the gravity center position of the heel on the sole. However, since the second finger may not contact the pressure distribution sensor 11, the second finger barycentric position P3 is estimated using the virtual second finger barycentric position P3.

  Further, the arch detection unit 144 detects the length L2 of the arch line segment H ′ that is a part of the foot length line H and is located outside the contact area 69 in the vicinity of the center of the foot length line H. In addition, the arch detection unit 144 detects the smallest width Wmin in the horizontal direction in the contact area 69 in each rectangular area 70. The length L1 of the foot length line H, the length L2 of the arch line segment H ′, and the width Wmin are parameters indicating the state of the arch.

  Then, the sole curvature state detection unit 143 detects the sole curvature state based on the parameter indicating the state of the arch detected by the arch detection unit 144. First, the sole curvature state detection unit 143 determines that the arch line segment length ratio, which is a ratio of the length L2 of the arch line segment H ′ detected by the arch detection unit 144 to the length L1 of the foot length line H, is a predetermined threshold value. (Second threshold: 0.333, for example) (including the case where the length L2 of the arch line segment H ′ is 0), the arch line segment length ratio is set as the curved state of the sole of the measurement subject. To detect.

  Furthermore, in other cases, the sole curvature state detection unit 143 determines a width ratio that is a ratio of the length of the smallest width Wmin in the left-right direction in the contact region 69 to the length L1 of the foot length line H. It is detected as the curved state of the sole.

  The ankle tilt state detection unit 145 will be described with reference to FIG. FIG. 5 is a diagram for explaining the function of the ankle tilt state detection unit 145. The ankle tilt state detection unit 145 detects the tilt state of the ankle joint of the measurement subject based on the pressure distribution data stored in the pressure distribution data storage unit 132. Specifically, as illustrated in FIG. 5, the ankle inclination state detection unit 145 is configured to detect the front and rear of the rectangular region 70 (substantially the contact region 69) for each rectangular region 70 cut out by the region cutout unit 142. The front area 71, which is an area from the center to the front in the direction, is divided into an inner area 72, which is an inner area from the center, and an outer area 73, which is an outer area from the center.

  The ankle inclination state detection unit 145 is an inner load value R1 that is an integrated value of the pressure applied to the inner region 72 within the measurement time, and an integrated value of the pressure that is applied to the outer region 73 within the measurement time. The inclination state of the ankle joint of the measurement subject is detected from the difference from the outer load value R2. That is, if there is no difference between the inner load value R1 and the outer load value R2, the ankle inclination state detection unit 145 detects that the ankle joint of the measurement subject is not inclined, and the inner load value R1 is the outer load value. It is detected that the ankle joint of the measurement subject is greatly inclined inward as the value R2 becomes larger than the value R2, and the measurement target is measured as the outer load value R2 becomes larger than the inner load value R1. It is detected that the ankle joint of the person is greatly inclined outward.

  Returning to FIG. 2, the classification unit 146 includes the curved state of the measurement subject's sole detected by the sole curved state detection unit 143 and the ankle of the measurement target detected by the ankle inclination state detection unit 145. The foot shape of the person to be measured is classified based on the joint inclination state.

  The classification unit 146 is a case where the sole arch line length ratio is detected by the sole curved state detection unit 143 as a curved state of the sole, and the arch line segment length ratio is 0 (the length L2 of the arch line segment H ′ is 0), the foot type of the person to be measured is classified as a flat type. The flat type will be described with reference to FIGS. 6 and 7. FIG. 6 is a view showing a flat foot-shaped contact area 69. FIG. 7 is a diagram showing the relationship between the flatness level and the contact area 69. 7A shows a light flat contact area 69, FIG. 7B shows a medium flat contact area 69, and FIG. 7C shows a heavy flat contact area. Regions 69 are shown respectively. As shown in FIGS. 6 and 7, the flat type is a foot type in which the area of the arch is reduced due to the curvature of the sole being reduced, and indicates that the exercise ability related to walking is reduced. . Therefore, the greater the flatness, the smaller the arch area. The classification unit 146 further classifies the degree of the flat shape when the measurement subject's foot shape is classified into the flat shape. At this time, the classification unit 146 slightly changes the foot shape of the person to be measured as the central width ratio, which is the ratio of the width Wcenter at the center of the contact region 69 in the front-rear direction to the length L1 of the foot length line H, increases. Classify in order of moderate and severe.

  The classifying unit 146 also deforms the arch when the sole arch line length ratio is detected by the sole curved state detecting unit 143 as the curved state of the sole arch, and the arch line segment length ratio exceeds 0. The foot pattern of the person being measured is classified as a arch and a deformed foot pattern. The arch arch will be described with reference to FIG. FIG. 8 is a diagram illustrating an example of a arch arch. As shown in FIG. 8, the arch deformed foot shape is a foot shape in which the arch is deformed into an abnormal shape, and indicates that the exercise ability related to walking is reduced. The arch deformed foot shape is a form in the middle of shifting from a normal foot shape to a flat shape.

  Further, the classification unit 146 is a case where the sole ratio detection unit 143 detects the width ratio as the sole curvature state, and the width ratio is equal to or less than a predetermined threshold (third threshold: 0.333, for example). In some cases, the foot shape of the person being measured is classified as a concave foot shape on the assumption that the sole is excessively curved. The concave foot type will be described with reference to FIG. FIG. 9 is a view showing an example of a concave foot type. 9A shows an example of a center-type concave foot type, FIG. 9B shows an example of a rear-type concave foot type, and FIG. 9C shows an example of a split type. ing. As shown in FIG. 9, the concave foot type is a foot type in which the sole is curved excessively, and indicates that the exercise ability related to walking is reduced. When the classifying unit 146 classifies the foot shape of the person to be measured as the concave foot shape, the width Wmin detected by the arch detecting unit 144 is further within a predetermined range from the center in the front-rear direction of the contact area 69. When the width Wmin is 0, it is classified as a central type, when it is located on the rear side of the predetermined range.

  Then, when the ankle inclination state detection unit 145 detects that the ankle joint of the measurement subject is inclined inward, the classification unit 146 classifies the measurement subject's ankle shape into a pronation type. , When it is detected that the ankle joint of the measured person is inclined outward at an angle equal to or less than a predetermined threshold (first threshold), the measured figure of the measured person's ankle is classified as an outer load When it is detected that the ankle joint of the measurement subject is inclined outward at an angle exceeding a predetermined threshold value (first threshold value), the measurement subject's foot shape is classified as a pronation foot type.

  The classifying unit 146 performs measurement when the foot type of the person to be measured is not classified into any of the flat type, the arch, the deformed foot type, the concave foot type, the pronation type, the outer load type, and the extroversion type. A person's foot shape is classified into a normal foot shape.

  Returning to FIG. 2, the display control unit 151 causes the display 21 to display the instruction content for causing the measurement subject to stand still on the pressure distribution sensor 11 and the foot shape of the measurement subject classified by the classification unit 146. Is.

  Next, the operation of the foot type classification device 1 will be described with reference to FIG. FIG. 10 is a flowchart showing the operation of the foot type classification apparatus 1. As shown in FIG. 10, when measurement is started, first, the display control unit 151 displays a content for instructing the person to be measured to stand still on the pressure distribution sensor 11 during the measurement time. To display. The person to be measured stops the measurement time by the pressure distribution sensor 11 according to the content displayed on the display 21. At this time, the pressure distribution data is stored in the pressure distribution data storage unit 132. Then, the region cutout unit 142 cuts out each contact region 69 that comes into contact with each sole of the measurement subject in the pressure distribution sensor 11 by the rectangular region 70 (step S101).

  Next, the arch detection unit 144 of the sole bending state detection unit 143 detects a parameter indicating the state of the arch associated with the measurement subject's foot (S102). The sole curvature state detection unit 143 calculates the arch line segment length ratio from the parameters detected by the arch detection unit 144, and determines whether the arch line segment length ratio is 0 (S103). If the sole curvature state detection unit 143 determines that the arch line segment length ratio is 0 (S103: YES), the classification unit 146 classifies the foot shape of the person to be measured as a flat shape, and sets the foot length line H. A center width ratio that is a ratio of the width Wcenter at the center in the front-rear direction of the contact region 69 to the length L1 is calculated (S104). Then, the classification unit 146 determines whether the central width ratio corresponds to a light, medium, or severe flat type (S105). If the central width ratio corresponds to light (S105: light), the classifying unit 146 classifies the foot shape of the person to be measured as a light flat type (S106), and the central width ratio corresponds to medium. (S105: moderate), the foot shape of the person to be measured is classified into a medium flat type (S107), and the foot width of the person to be measured is severe when the center width ratio corresponds to severe (S105: severe) (S108). Then, the classification result is displayed on the display 21 and the flowchart is ended.

  On the other hand, if the sole curvature state detection unit 143 determines that the arch line segment length ratio is not 0 (S103: NO), the ankle inclination state detection unit 145 detects the inclination state of the ankle joint of the measurement subject ( S109), it is determined whether or not the ankle joint of the measurement subject is inclined (S110). If the ankle inclination state detection unit 145 determines that the ankle joint of the measurement subject is inclined (S110: YES), the classification unit 146 determines the inclination direction of the ankle joint (S111). When the classifying unit 146 determines that the ankle joint of the measurement subject is inclined inward (S111: inside), the measurement subject is classified into the pronation type (S112), and the measurement target is measured. If it is determined that the person's ankle joint is inclined outward at an angle equal to or less than a predetermined threshold (first threshold) (S111: outside), the person's foot shape is classified as an outer load foot shape. (S113) When it is determined that the ankle joint of the measurement subject is inclined outward at an angle exceeding a predetermined threshold (first threshold) (S111: large outside), the foot shape of the measurement subject is changed. It classifies into a pronation type (S114). Then, the classification result is displayed on the display 21 and the flowchart is ended.

  On the other hand, if the ankle tilt state detection unit 145 determines that the ankle joint of the measurement subject is not tilted (S110: NO), the classification unit 146 determines from the curved state detected by the sole curved state detection unit 143. It is determined whether or not the sole of the measurement subject is excessively curved (S115). If the classifying unit 146 determines that the sole of the measured person is excessively curved (S115: YES), the classifying unit 146 classifies the measured person's foot shape as a concave foot type and is detected by the arch detecting unit 144. The position of the width Wmin is determined (S116). If the width Wmin is located within a predetermined range from the center in the front-rear direction of the contact area 69 (S116: center), the classifying unit 146 classifies the measurement subject's foot shape as a concave foot type ( S117) When the width Wmin is located on the rear side of the predetermined range (S116: rearward), the foot shape of the person to be measured is classified as a concave foot type (S118), and the width Wmin is set to 0. If so, the foot shape of the person to be measured is classified into a concave foot type (S119). Then, the classification result is displayed on the display 21 and the flowchart is ended.

  On the other hand, if the classification unit 146 determines that the sole of the measurement subject is not excessively curved (S115: NO), the sole of the measurement subject is determined based on the curved state detected by the sole curved state detection unit 143. It is determined whether or not the arch is deformed (S120). If the classifying unit 146 determines that the arch of the sole of the person to be measured is deformed (S120: YES), the classifying unit 146 classifies the foot of the person to be measured as a deformed arch of the arch (S121). Then, the classification result is displayed on the display 21 and the flowchart is ended.

  Finally, if the classification unit 146 determines that the arch on the sole of the measurement subject is not deformed (S120: NO), the classification unit 146 classifies the measurement subject's foot pattern into a normal foot pattern. Then, the classification result is displayed on the display 21 and the flowchart is ended.

  As described above, the foot type classification device 1 of the present embodiment uses the pressure distribution sensor 11 to flatten the foot shape of the measurement subject, the foot shape of the measurement subject as an index of the exercise ability related to walking. Type, pronation type, external load type, diversion type, concave type, arch deformed type, and normal type. It can be easily grasped. Thereby, the leader can instruct | indicate the appropriate exercise program which recovers a to-be-measured person's athletic ability.

  Further, when the classifying unit 146 detects that the ankle joint of the measurement subject is inclined inward by the ankle inclination state detection unit 145, the classification unit 146 classifies the measurement subject's ankle shape as a pronation type. When it is detected that the ankle joint of the measurement subject is inclined outward at an angle equal to or less than a predetermined threshold, the measurement subject's ankle is classified as an outer load foot shape, and the measurement subject's ankle is When it is detected that the joint is inclined outward at an angle exceeding a predetermined threshold value, the foot shape of the person to be measured is classified as the supination foot shape. As a result, the foot shape of the person being measured can be easily classified into a pronation foot type, an outer load foot type, and an extroversion foot type, which are suitable as an index of athletic ability related to walking, and the measurement subject's walking Can accurately grasp athletic ability.

  At this time, the ankle inclination state detection unit 145 calculates an inner load value R1 that is an integrated value of the pressure applied to the inner region 72 within the measurement time and an integrated value of the pressure applied to the outer region 73 within the measurement time. The inclination state of the ankle joint of the measurement subject is detected from the difference from the outer load value R2 that is the ratio. Thereby, the inclination state of the ankle joint can be quickly detected by a simple algorithm. In addition, since the pressure applied to each region is integrated, the tilted state of the ankle joint of the measured person can be accurately detected even when the stationary state of the measured person is unstable.

  Furthermore, the classification unit 146 uses the foot shape of the sole detected by the sole curving state detection unit 143 as an indicator of the exercise ability related to walking. Since the type and arch are classified into the deformed foot type, it is possible to accurately grasp the exercise ability related to the walking of the measurement subject.

  At this time, since the sole curved state detection unit 143 detects the curved state of the sole using the length L2 of the arch line segment H ′, the curved state of the sole can be easily detected.

  Further, at this time, the arch detection unit 144 detects the point where the highest pressure is applied as the heel barycentric position P2 in the partial region 74 that is ¼ from the rear end in the front-rear direction in the rectangular region 70. The position of the center of gravity can be easily obtained.

  In addition, the arch detection unit 144 detects the position of 37.5% from the inside as the virtual second finger barycentric position P1 in the largest width Wmax in the left-right direction in the contact region 69, and the heel barycentric position P2 and the virtual second finger A second finger barycentric position P3 is detected from the barycentric position P1. For this reason, even if the second finger is not in contact with the pressure distribution sensor 11, the second finger barycenter position can be estimated.

  In addition, when the arch line segment length ratio is 0, the classifying unit 146 classifies the measured foot shape of the person to be measured as a flat shape, and therefore can easily classify the measured foot shape of the person to be measured as a flat shape. . Further, when the arch line segment length ratio is equal to or less than a predetermined threshold, the classifying unit 146 classifies the measured foot of the person to be measured as the arch deformed foot pattern, assuming that the arch is deformed. For this reason, it is possible to easily and accurately classify the foot shape of the person to be measured into the arched foot shape without being affected by the size of the sole.

  In addition, since the sole curvature state detection unit 143 detects the width ratio, which is the ratio of the length of the width Wmin to the length L1 of the foot length line H, as the curvature state of the measurement subject's sole, The curved state can be detected more accurately without being affected by the above.

  Then, when the classifying unit 146 classifies the foot shape of the measurement subject as the concave foot shape on the assumption that the sole is excessively curved when the width ratio is equal to or less than the predetermined threshold value, the foot shape of the measurement subject is determined. Can be easily categorized into a concave foot type.

  The preferred embodiments of the present invention have been described above, but the present invention is not limited to the above-described embodiments, and various design changes can be made as long as they are described in the claims. For example, in the above-described embodiment, the foot type classifying apparatus 1 determines the foot type of the person to be measured as a flat type, a pronation type, an external load type, an extroversion type, a concave type, a arch deformed type, and Although it is the structure classified into a normal foot type | mold, the structure classified into only one of these foot types may be sufficient, and the structure classified into the foot type corresponding to the exercise ability regarding another walk may be sufficient.

  In the above-described embodiment, the ankle inclination state detection unit 145 detects the inclination state of the ankle joint of the measurement subject from the difference between the inner load value R1 and the outer load value R2. The configuration may be such that the inclination state of the ankle joint is detected by an algorithm. For example, the inclination state of the ankle joint may be detected from the position of the center of gravity in the front region 71.

  In addition, in the embodiment described above, the sole curved state detection unit 143 detects the curved state of the sole using the length L2 of the arch line segment H ′. The structure which detects the inclination state of may be sufficient. For example, the curved state of the sole may be detected directly from the shape of the contact area 69.

  Furthermore, in embodiment mentioned above, it becomes the structure which classifies a foot type preferentially in order of a flat type, an outside load foot type, a pronation foot type, a pronation foot type, a concave foot type, and a arch deformation foot type. However, this priority order may be arbitrary. Moreover, the structure which classify | categorizes multiple types of foot type | mold with respect to a to-be-measured person may be sufficient.

  In addition, in the present embodiment described above, the foot type classifying apparatus 1 is configured only to classify the foot type, but after classifying the foot type, the motor function corresponding to the classified foot type is improved. The structure which displays the exercise | movement program for it on the display 21 may be sufficient.

  Further, in the present embodiment described above, the foot type classification device 1 is configured to display only the foot type classification result on the display 21, but is configured to display the contact area 69 and various parameters together with the classification result on the display 21. There may be. Thereby, the instructor can grasp | ascertain the athletic ability of a to-be-measured person further in detail.

1 is an external view illustrating a schematic configuration of a foot type classification device according to a first embodiment of the present invention. It is a functional block diagram of the foot type | mold classification apparatus of FIG. It is the figure which showed the load condition with respect to a pressure distribution sensor when a to-be-measured person has taken the standing still state on the pressure distribution sensor of FIG. It is a figure for demonstrating the function of the arch detection part of FIG. It is a figure for demonstrating the function of the ankle inclination state detection part of FIG. It is the figure which showed the flat contact area classified by the classification | category part of FIG. It is the figure which showed the relationship between the contact area | region of FIG. 3, and a flat type. It is the figure which showed the example of the arch deformed foot type | mold classified by the classification | category part of FIG. It is the figure which showed the example of the concave foot type | mold classified by the classification | category part of FIG. It is a flowchart which shows operation | movement of the foot type | mold classification apparatus shown in FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Foot type | mold classification apparatus 11 Pressure distribution sensor 11a Pressure sensor 12 Pressure detection part 21 Display 30 Control part 69 Contact area 70 Rectangular area 71 Front area 72 Inner area 73 Outer area 74 Partial area 131 Detection part 132 Pressure distribution data storage part 141 Foot type classification unit 142 Region cutout unit 143 Foot curvature state detection unit 144 arch detection unit 145 ankle inclination state detection unit 146 classification unit 151 display control unit

Claims (13)

A pressure distribution sensor having a plurality of pressure detection areas for detecting the pressure applied from the measurement subject;
From the output value corresponding to the pressure detected in each of the plurality of pressure detection areas included in the pressure distribution data from the pressure distribution sensor when the measurement subject is stationary on the pressure distribution sensor, the pressure distribution Detection means for detecting the load state of the measurement subject on the sensor;
A foot type classifying apparatus comprising: a foot type classifying unit that classifies the foot type of the person to be measured based on a detection result of the detecting unit. The foot type classification means is
An inclination state of each ankle joint of the person to be measured on the pressure distribution sensor is detected from a detection result of the detection means, and the foot shape of the person to be measured is classified according to the detected inclination state. The foot type classification apparatus according to claim 1. The foot type classification means includes
When it is detected that the subject's ankle joint is tilted inward, the subject's foot is classified as a pronation foot,
When it is detected that the ankle joint of the measurement subject is inclined outward at an angle equal to or less than the first threshold value, the measurement subject's foot pattern is classified as an outer load foot pattern,
When the ankle joint of the measurement subject is detected to be inclined outward at an angle exceeding the first threshold value, the measurement subject's foot shape is classified as a pronation foot type. The foot type classification apparatus according to 2. The foot type classification means is
Out of the contact areas in contact with the soles of the measurement subject in the pressure distribution sensor, the front area, which is the front side area from the center in the front-rear direction of the measurement subject, Dividing into an inner region that is a region and an outer region that is an outer region from the center,
The foot type classification device according to claim 2 or 3, wherein the inclined state is detected from a difference between a pressure applied to the inner region and a pressure applied to the outer region.   5. The foot type classifying unit integrates values of pressures applied to the inner area and the outer area in a state where a person to be measured is stationary on the pressure distribution sensor for a predetermined time. Foot type classification device described in 1.   The foot type classifying unit detects a bending state of each sole of the measurement subject on the pressure distribution sensor based on a detection result of the detection unit, and based on the detected bending state, The foot type classification apparatus according to claim 1, wherein the foot type is classified.   In the pressure distribution sensor, the foot type classification means includes a heel center position corresponding to the centroid position of the heel associated with each foot of the measurement subject and a second finger corresponding to the centroid position of the second finger of the sole. The curved state is detected based on the length of an arch line segment that is a part of the vicinity of the center of the foot long line connecting to the position of the center of gravity and is located outside the contact area in contact with the sole. The foot type classification device according to claim 6.   The foot type classifying means sets the point where the highest pressure is applied as the position of the center of gravity of the heel in an area of ¼ from the rear end of the contact area in the front-rear direction of the person to be measured. The foot type classification device according to 7.   The foot type classifying means uses a position at a predetermined ratio from the inside as a virtual second finger barycentric position in an area having the longest length in the left-right direction of the person to be measured in the contact area, and the virtual second finger barycentric position and The intersection of a straight line that passes through the center of gravity of the heel and a straight line that extends in the left-right direction while contacting a front end in the front-rear direction in the contact area is defined as the second finger center-of-gravity position. Or the foot type | mold classification apparatus of 8.   10. The method according to claim 7, wherein when the length of the arch line segment is 0, the foot shape classifying unit classifies the foot shape of the person to be measured as a flat foot shape. Foot type classification device.   When the arch line segment length ratio, which is the ratio of the length of the arch line segment to the length of the foot length line, exceeds 0 and is equal to or less than a second threshold, The foot shape classifying apparatus according to any one of claims 7 to 10, wherein the foot shape is classified into a arch and a deformed foot shape.   The foot type classifying means is based on a width ratio that is a ratio of a length in the left-right direction of the measurement subject that is shortest in the vicinity of the center of the measurement subject in the front-rear direction related to the length of the foot long line. The foot type classification device according to any one of claims 7 to 11, wherein the curved state is detected.   The foot type classifying device according to claim 12, wherein the foot type classifying unit classifies the foot type of the person to be measured into a concave foot type when the width ratio is equal to or smaller than a third threshold value.

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