JP6299147B2 - How to display walking features - Google Patents

Description

  The present invention relates to a walking feature display method.

There has been proposed a method of measuring the pressure distribution of the sole of the walking and displaying the characteristics of the walking.
For example, in order to be able to determine the left-right balance of the gait, the pressure distribution on the sole is measured using a pressure sensor provided in the shoe, and the measurement result is measured on the sole image. There is a method of expressing with the color of the mark displayed in (Patent Document 1).

  However, this method only knows the left / right balance of how to walk, and does not know the overall characteristics of how to walk.

  It also measures the pressure distribution at the sole of the subject during walking, calculates walking parameters such as foot angle, simultaneous installation time, center of gravity, etc., compares the calculated walking parameters with standard parameters, It is proposed that the walking state of the subject is specified with respect to the degree, the position of the center of gravity, and the like, and the specified walking state and advice corresponding thereto are displayed on the display. In this case, the display displays a word indicating a walking state such as “inner thigh”, a short sentence advice such as “walking with the foot outward”, and an illustration indicating the inner thigh (Patent Document 2).

  However, the walking state specified by this method is an arbitrarily determined walking feature, and is not a typified walking feature. In addition, since the specified walking state and advice are merely displayed with simple words and illustrations, it is difficult to understand actual walking characteristics.

JP 2009-106375 A JP 2006-218202 A

  In contrast to the above-described prior art, the subject of the present invention relates to the simple evaluation of the walking feature of a subject using a typical evaluation axis of the walking feature, and the easy-to-understand display of the evaluation result.

  The inventor can use a plurality of principal components obtained by principal component analysis of various gait parameters affecting gait as an evaluation axis for typical gait features, and from the gait parameters of any subject, When the evaluation value on the evaluation axis is calculated, and a moving image of the footprint image is formed based on the evaluation stage when the calculated evaluation value is evaluated in multiple stages, and the moving picture is displayed on the display, the subject It has been found that it is very easy to understand how much the walking feature is possessed, and the present invention for displaying the subject's walking feature in such a moving image has been completed.

That is, the present invention measures the walking trace of the subject,
Using the measured walking trace, evaluate the walking characteristics of the subject in multiple stages,
Provided is a walking feature display method that creates a moving image of a footprint image based on the evaluation stage and displays the moving image on a display.

In particular, the present invention obtains walking parameters including walking factors obtained by walking trace measurement from a plurality of subjects, and evaluates walking characteristics of a plurality of principal components obtained by standardizing the walking parameters and performing principal component analysis. Get as an axis,
Measuring the walking factor from the walking trace of any subject, using the walking parameters including the walking factor, to evaluate the walking characteristics in the evaluation axis of the subject in multiple stages,
Provided is a walking feature display method that creates a moving image of a footprint image based on the evaluation stage and displays the moving image on a display.

  According to the present invention, the walking characteristics of the subject are evaluated in a plurality of stages, and the moving image of the footprint image formed based on the evaluation stage is displayed. Therefore, the walking characteristics of the subject can be displayed in an extremely easy-to-understand manner.

  In particular, in the present invention, a plurality of principal components obtained by principal component analysis of various walking parameters that affect gaits, including gait factors measured from walking traces, are used as evaluation axes for walking features, When displaying corresponding to the walking feature, the walking feature of the subject can be easily understood from the viewpoint of a plurality of typical walking features.

FIG. 1 is an explanatory diagram of a process of forming a moving image displayed by the method of the present invention. FIG. 2 is an explanatory diagram of pressure distribution and walking factors during walking detected by a seat type pressure sensor. FIG. 3 is an example of a unit image used for creating a moving image. FIG. 4 is a unit image when the straightness is “straight” and the crotch crotch is “gani”. FIG. 5 is a unit image when the straightness is “shifting to the right” and the crotch crotch is “grotch”. FIG. 6 is an explanatory diagram of footprint images arranged on the screen when the small crotch is large crotch, the degree of bilinearity is normal, and the straight advance is straight. FIG. 7 is a configuration example of a screen that displays walking features. FIG. 8 is a configuration example of a screen that displays walking features.

  Hereinafter, the present invention will be described in detail with reference to the drawings. In addition, in each figure, the same code | symbol represents the same or equivalent component.

1. Overview FIG. 1 is an explanatory diagram of an embodiment of a process of forming a moving image displayed by the method of the present invention.

  In the present embodiment, a plurality of principal components obtained by principal component analysis of the walking parameters of a plurality of subjects are acquired in advance as walking feature evaluation axes.

  Next, the principal component score of the above-mentioned principal component is calculated from the walking parameter of an arbitrary subject. This principal component score is an evaluation value on the evaluation axis of the walking feature. In this embodiment, this evaluation value is evaluated in a plurality of stages. Then, a moving image of the footprint image is formed based on the evaluation stages on the plurality of evaluation axes, and this is displayed on the display.

2. Evaluation Axis The evaluation axis of walking features used in the present embodiment is a plurality of principal components obtained by principal component analysis of the walking parameters of a plurality of subjects.

  As the walking parameter, at least a walking factor obtained by measuring a walking trace can be used, and parameters other than the walking factor that affect the walking characteristics can also be used.

2-1 Gait factors measured from walking tracks The walking factors that are obtained by measuring walking tracks, that is, measured from walking tracks, include the distance or angle measurement data of a predetermined part of the walking track, and walking in a predetermined section. The measurement data of the time required, or what is calculated from these measurement data can be mentioned.

  More specifically, for example, stride, step, walking speed, stride length, stride time, cadence, toe angle, walking angle, stance ratio, swing ratio, both legs that can be measured with a seat type pressure sensor Support period ratio, left / right difference stance ratio, left / right difference walking angle, left / right difference toe angle, left / right difference step distance, walking ratio, and the like can be given. Here, as the seat-type pressure sensor, a foot pressure distribution image received on the walking surface by walking or one capable of outputting two-dimensional foot pressure data can be used. For example, a seat manufactured by Anima Co., Ltd. For example, the lower limb weight meter series walk way, the floor reaction force meter manufactured by AMTI, and the like.

  In the present invention, the walking factor may be measured by a motion capture system. Specifically, a three-dimensional motion analysis system using a plurality of video cameras (3D motion analysis device VICON, VICON MX system, VICON NEXSUS manufactured by Interliha Corporation) or the like can be used. In addition, the walking factor may be measured by measuring the distance and angle of the footprint formed by walking with ink on the sole of the foot.

  Of the walking factors described above, the stride is the distance from the right and left heel-contact to the other-side heel contact again as shown in FIG. The left and right of the stride are determined by the left and right of the foot that is the axis foot. In addition, it is preferable to use a standard value obtained by dividing the stride by the height.

  As shown in FIG. 2, the step is a horizontal distance from one heel contact to the left and the other heel contact, and determines the left and right of the step on the left and right of the foot that is the shaft foot. Further, it is preferable to use a value obtained by dividing the step by the height and standardized.

  The left-right difference step is the difference between the step distance when the left and right foot is used as an axis foot and the other foot is stepped on, and the step distance when the axial foot is reversed left and right. It is preferable to use what is standardized by dividing.

  The stride length is the distance from the right and left saddle grounding to the grounding of one saddle again, and the stride time is the time from the right and left saddle grounding to the grounding of one saddle again. It is preferable to use a stride length that is standardized by dividing by the height.

  As shown in FIG. 2, the walking angle is an angle (°) formed by a straight line connecting one heel to the other heel with the traveling direction. In addition, the right and left of the walking angle shall be determined by the left and right of the foot that is on the ground as an axis foot. For example, when the left foot is stepped on with the right foot and the right foot is grounded, the angle between the straight line connecting the right foot heel while touching the ground and the left foot heel when in contact with the traveling direction is the right walking angle. .

  The left / right difference walking angle is the difference between the left and right walking angles.

  The cadence is the number of steps per minute calculated from the time from when the right and left saddles touch down to the right and left saddles touch again.

  As shown in FIG. 2, the toe angle is an angle (°) formed by a straight line connecting the heel and the toe with the traveling direction, the outer side is positive, and the inner side is negative.

  The left-right difference toe angle is the difference between the left and right toe angles.

  The stance period ratio is a ratio of the stance period time to one walking cycle, and the stance period time is the time from the right and left heel contact to the time when one leg leaves the ground.

  The left-right stance ratio is the difference between the left and right stance ratios.

  The free leg period ratio is a ratio to one walking cycle of the free leg period, and the free leg period is a time from when one of the left and right feet leaves the ground until the heel of the one foot contacts the ground.

  The both-leg support period ratio is the ratio of the both-leg support period time in which both the left and right feet are in contact with the ground to one walking cycle. Therefore, the driving action is zero. The ratio of both-leg support period is about 20% in a normal walking action, but becomes longer with aging. Therefore, it is an important parameter for evaluating walking age.

  The walking ratio is a value obtained by dividing the step length (m) by the cadence (steps / minute). The walking ratio indicates walking efficiency, approaching 0.006 for adults and lower for infants and the elderly.

2-2 Walking parameters other than walking factors In the present invention, various parameters that affect gaits can be used as walking parameters other than walking factors. Examples of such parameters include age, BMI, sex, and the like.

2-3 Calculation of Evaluation Axis In this embodiment, walking is performed on a plurality of principal components, preferably the first principal component to the sixth principal component, obtained by performing principal component analysis on the above-described walking parameters obtained from a plurality of subjects. The evaluation axis for features.

  When this evaluation axis is calculated from the above-described walking parameters, the walking parameters include various types of data that affect the gait, and therefore include a plurality of types of data having different units. Therefore, first, individual walking parameters acquired from a plurality of subjects are set as walking parameters (Z score) standardized to mean 0 and variance 1 according to the following equation.

  Standardized walking parameter = [walking parameter] − [average walking parameter for all subjects] / [standard deviation of each walking parameter for all subjects]

  Next, a principal component analysis is performed on the standardized walking parameters to obtain a plurality of principal components from the first principal component, preferably from the first principal component to the sixth principal component. In addition, when the information regarding a left-right difference cannot be obtained as a walking factor, only the third principal component and the fifth principal component may be used.

  More specifically, for example, 357 men and women (85 men and 272 women) aged 20 to 89 who can walk on their own without pain when walking are shown in Table 1 from each subject. The principal component score coefficients shown in Table 1 were calculated for each principal component from the first principal component to the sixth principal component by acquiring the walking parameters, standardizing them, and performing principal component analysis. Each principal component is obtained by multiplying the principal component score coefficient calculated in this way and the corresponding standardized walking parameter, and adding it to all the walking parameters.

  The principal component score coefficient constituting each principal component shown in Table 1 is “large thigh-small thigh” indicating the degree of large thigh or small thigh because the first main component has a large absolute value of the stride. As the second principal component has a large absolute value of the step, is the walking track straight due to the narrow step, or whether the walking track is straight due to the wide step? Since the absolute value of the cadence is large, the third principal component is an evaluation axis of “high tempo-low tempo” representing the speed of the walking pitch, and the fourth principal component is Since the absolute values of the left-right difference walking angle and the left-right difference step are large, it becomes an evaluation axis of “left-to-right” indicating the degree to which the walking direction is shifted to the left or right, and the fifth principal component is the absolute value of the toe angle. Because of the large size, the evaluation axis of “inner thigh- The sixth principal component has a large absolute value in the right / left differential stance period and the left / right difference both-leg support period, and therefore the “left leg burden—right leg burden” indicating whether the load during walking is biased to the left or right foot. The inventor has found that it can be used as an evaluation axis.

  Gait with small crotch and slow walking speed (first principal component, third principal component), gait with wide step and walking trace on two straight lines (second principal component) is crotch or inner crotch The gait (fifth principal component), the gait that walks in the left or right direction (fourth principal component), and the gait that the burden is biased to either the left or right leg (sixth principal component) , Each of which is said to be a typical gait of the elderly, so the evaluation axis composed of the first principal component to the sixth principal component described above is a typical gait of generally accepted gaits. It is consistent with the evaluation axis.

  That is, an evaluation axis for walking speed that depends on the degree of small crotch, whether it is large or small, and the speed of the walking pitch, an evaluation axis for the degree of bilinearity, whether the footprint is straight or double, and whether the toe is straight or The inner crotch or the inner crotch, the crotch crotch evaluation axis, the straight movement evaluation axis that shifts to either the left or right, and the load deviation axis that the load is biased to either the left or right It is preferable that the evaluation is performed because it matches the generally accepted evaluation axis.

  Among these, the evaluation axis of small crotch, bilinearity, and crotch crotch can display the characteristics of the gait of the subject in an easy-to-understand manner on the screen, and the subject himself consciously improves it. Is preferable for use in screen display.

  In addition, the evaluation axis of the gait feature obtained from the principal component analysis described above may be used if it has already been calculated, or may be used independently, or a new test subject's gait may be used. The evaluation axis may be updated as needed by acquiring parameters, and the updated evaluation axis may be used.

3. Evaluation of walking characteristics of a subject A walking parameter of an arbitrary subject is acquired, and the walking characteristics of the subject on the above-described evaluation axis are evaluated based on the walking parameter.

  More specifically, the walking parameters of the subject are acquired by measuring the walking factor from the walking trace of the subject and obtaining data such as the age, BMI, and sex of the subject through an inquiry or the like. Then, walking parameters are standardized, and principal component scores of a plurality of principal components used as an evaluation axis for walking features are calculated. The principal component score calculated in this way is an evaluation value on each evaluation axis of the walking feature of the subject and serves as an index representing how much typical walking feature is provided.

4). Display of walking feature Although the evaluation value (principal component score) on each evaluation axis of the walking feature of the subject calculated as described above can be displayed as it is as an index of the walking feature of the subject, in the present invention, the evaluation value Are evaluated in a plurality of stages, and a moving image of a footprint image is formed on the display as an integrated evaluation stage in each evaluation axis. On this moving image display screen, evaluation values on each evaluation axis of the walking characteristics of the subject, or characters, marks, buttons, and the like representing evaluation stages when the evaluation values are evaluated in a plurality of stages may be displayed.

4-1 Multi-stage evaluation Regarding evaluation of walking feature evaluation values (principal component scores) in multiple stages, for example, “large crotch-small crotch” representing the degree of small crotch of the first main component, large crotch or small crotch The "" axis can be evaluated in three stages: "large crotch", "small crotch", and "normal" between them.

As a specific method for dividing the evaluation value of the walking feature into three stages, for example, when the standard value is smaller than the standard deviation 1 with respect to the average value 0 as follows, the standard deviation 1 with respect to the average value 0 If it is larger than that, it will be normal to have a small crotch between them.
Large thigh: [the main component score of the first main component] <−1,
Normal: −1 ≦ [main component score of the first main component] ≦ 1,
Small crotch: 1 <[Score of the first principal component]

  The second principal component “straight line-two straight lines” axis that is the evaluation axis for bilinearity, the third principal component “high tempo-low tempo” axis that indicates the speed of the walking pitch, and the fourth main axis that is the straightness evaluation axis The same applies to the “left-to-right” axis of the component, the “inner thigh--to-grot” axis of the fifth principal component, which is an evaluation axis of the crotch crotch degree, and the “left foot load—right foot load” axis of the sixth principal component to indicate the load deviation axis. Each can be expressed in three stages. When expressed in two stages, the average value or the median value and other values suitable for classification into two stages are used, and the values are divided into upper and lower parts. When dividing into stages other than these, the stages can be statistically represented so that each stage has the same number of samples, or by a value that makes the difference clear.

  The evaluation of the walking feature can be obtained directly from the measurement value of the walking trace regardless of the principal component score of the principal component analysis as described above. For example, the small crotch can be obtained from the measured value of the average stride, and the bilinearity can be obtained from the measured value of the average step.

  The evaluation value of the walking feature is expressed with higher accuracy in each evaluation axis as it is expressed in multiple stages. However, even if the feature of the movement element is expressed in multiple stages in the motion picture image representing the walking feature, It is difficult to recognize the difference at each stage by observing the moving image. In addition, when using multiple evaluation axes, increasing the number of stages for multi-level evaluation in each evaluation axis will increase the total number of gait types that integrate the results of stage evaluation for each evaluation axis. It becomes difficult for the combination of walking features evaluated in multiple stages to match the difference in walking features that can be actually identified by observing a moving image. Therefore, the number of stages of evaluation for each evaluation axis is preferably 5 or less and 2 or more, in order to match the difference in the evaluation stage with the difference in walking features that can be actually identified by observing the video. The “axis”, “left-to-right” axis, “inner crotch-to-crotch” axis, “left foot load—right foot load” axis are more preferably three stages, and “straight line—two straight lines” axis is more preferably two stages.

4-2 Moving Image of Footprint Image In the present invention, after evaluating the evaluation value on each evaluation axis of the walking feature of the subject in a plurality of stages, the evaluation result on each evaluation axis is integrated to create a moving image of the footprint image. By making this moving image an animated image of a footprint image, the walking feature can be displayed in an easy-to-understand manner. Therefore, it becomes easy to find a walking feature that causes general aging-related gait features and a risk of senile disability, such as “small crotch”, “low tempo”, and “double line”, and it is easy to take a countermeasure against it.

  A method for creating a moving image will be specifically described. In this case, the small crotch degree is large, normal, and small crotch in three stages, the straight line degree is in a straight line and two straight lines, and the crotch crotch is shifted to either the crotch, normal, or inner crotch, either left or right. A case will be described in which the straightness degree of going is three steps of rightward, straight, and leftward, and the walking pitch is two steps of high tempo and low tempo.

  The moving image is realized by sequentially arranging the six types of unit images shown in FIG. 3 on the screen in the following manner, that is, sequentially writing them in the image memory.

  First, a right foot image and a left foot image are selected from six types of unit images according to the degree of straight walking and the inner crotch, and are arranged on the screen in the order of the right foot image and the left foot image. The unit image is selected according to Table 2.

  For example, when the straightness is “straight” and the crotch crotch is “grotch”, as shown in FIG. 4, the “right” image is selected as the right foot image and the “left” image is selected as the left foot image. . When the straightness is “shifting to the right” but the crotch crotch is “grotch”, as shown in FIG. 5, “right” is selected as the right foot image and “straight” is selected as the left foot image.

  In this way, using an animation image corresponding to the stage evaluation of walking features makes it easier to understand than displaying numbers with numbers or displaying actual gaits.

  Next, the arrangement of the images is selected from Table 3 according to the degree of small crotch, the degree of straightness, and the straightness.

  First, the traveling direction coordinates are selected according to the degree of small crotch. The range that the footprint image can take on the coordinates and the stride on each of the large crotch, normal, and small crotch coordinates can be set as appropriate, but here the range that the footprint image can take on the coordinates is from 0 Up to 130, the stride of the large crotch on the coordinates was 30, the normal stride was 20, and the small crotch was 12. Therefore, for example, in the case of a large thigh, five steps can be displayed.

  Next, the left and right coordinates of the footprint image are selected based on the straightness and the straight line degree, and the right foot image and the left leg image are selected in the order of right 1, left 1, right 2, left 2. Place them sequentially on the screen. FIG. 6 shows a case where the small crotch is large crotch, the bilinearity is a straight line, and the straightness is straight. As shown in the figure, in the case of “large thigh”, five steps up to the right 3 are arranged on the screen. Similarly, seven steps up to the right 4 are arranged on the screen when the small crotch degree is “normal”, and eleven steps are arranged up to the right 6 when the small crotch is on the screen. It should be noted that even if the degree of bilinearity is “straight line”, there is a slight step in reality. Moreover, it is unnatural if the left and right footprints are displayed strictly on a straight line. Therefore, even when the degree of straight line is “straight line”, the left and right footprints are displayed on narrow parallel straight lines so that they match the reality and display does not become unnatural as shown in the figure. preferable.

  At this time, the high tempo and the low tempo are expressed by changing the time interval for arranging the unit images on the screen. For example, in the case of high tempo, the writing interval time is set to 300 milliseconds, and in the case of low tempo, it is set to 600 milliseconds.

  When the unit images have been arranged at a predetermined stride with an upper limit of the range that the footprint image can take on the coordinates, all the unit images are erased after elapse of a predetermined time, specifically, about 500 milliseconds to 1 second. Thereafter, the unit image writing is repeated from the beginning in accordance with the input signal for reproducing the moving image.

  The load on the sole can be expressed by displaying the vicinity of the base of the toes and the vicinity of the heel of each footprint in the footprint image in a color different from the surroundings according to the load situation.

  When displaying the moving image of the footprint image on the display, it is preferable to emphasize the walking feature of the subject so that a person who observes the moving image can easily recognize the walking feature of the subject. Therefore, in the production of a moving image, as described above, a unit representing typical walking features, rather than linearly reflecting the evaluation stage when the evaluation values in each evaluation axis are evaluated in multiple stages. It is preferable to prepare an image or to emphasize the position display of the footprint more than it actually is.

  In addition to displaying the moving image of the footprint image representing the walking feature of the subject described above, it is preferable that the moving image of the footprint image of the walking feature as a contrast can be displayed on the display. Here, the footstep image moving image of the walking feature as a contrast is integrated with the evaluation results on each evaluation axis after evaluating the evaluation values on each evaluation axis of the walking feature in a plurality of stages, similar to the above-described footprint image of the subject. It is formed by doing.

  As a walking feature to be used as a reference, for example, a walking feature at the time of different measurement of the same subject, a value obtained by changing an evaluation value on a specific evaluation axis among evaluation values on a plurality of evaluation axes constituting the walking feature of the subject, a subject And average walking characteristics of the same age, etc.

4-3 Screen Configuration As a specific screen configuration of a display that displays a moving image of a footprint image, for example, as shown in FIG. 7, a moving image of a footprint image showing the current walking characteristics of the subject is displayed in the screen 1. First window 2p to be displayed, second window 2q to display a moving image of a footprint image of a walking feature as a contrast, and evaluation values on six evaluation axes corresponding to first to sixth principal components in a plurality of stages Display areas 3a, 3b, 3c, 3d, 3e, and 3f for displaying the evaluation results in the case of evaluation as still images can be provided. Here, the first window 2p and the second window 2q are provided with moving image playback buttons 4p and 4q, respectively. Further, the first window 2p and the second window 2q are preferably arranged in parallel in order to facilitate the comparative observation of the moving images displayed on them.

  At the lower end of the screen 1, walk selection buttons 5p and 5q for selecting a walk to be displayed on the first window 2p and a walk to be displayed on the second window 2q are provided. In FIG. 7, since the walking selection button 5p is “current”, the walking displayed in the first window 2p and the display areas 3ap, 3bp, 3cp, 3dp, 3ep corresponding to the first window 2p are displayed. 3fp indicates that the walking feature when the walking parameter is measured is displayed this time. Similarly, since the walking selection button 5q is “previous”, the walking displayed in the second window 2q and the display areas 3aq, 3bq, 3cq, 3dq, 3eq, corresponding to the second window 2q, 3fq indicates that the walking feature when the walking parameter is measured is displayed.

  In FIG. 7, the display area 3 a that displays the evaluation result of the “large crotch-small crotch” axis of the first principal component is such that the evaluation result of three stages is indicated by the position of the slide button. As this slide button, a slide button 6p that displays the current walking characteristics of the subject corresponding to the first window 2p, and a slide button 6q that displays the contrasting walking characteristics corresponding to the second window 2q. Are provided.

  A display area 3b for displaying the evaluation result of the “first straight line—two straight lines” axis of the second principal component, a display area 3c for displaying the evaluation result of the “high tempo-low tempo” axis of the third principal component, and “left-facing” of the fourth principal component -Display area 3e displaying the evaluation result of the "right" axis, display area 3d displaying the evaluation result of the fifth inner component "inner crotch-gigantic crotch" axis, and evaluation of the "left foot load-right foot load" axis of the sixth main component A pair of slide buttons is also provided in the display area 3 f for displaying the result, as in the display area 3 a for displaying the evaluation result of the “large crotch-small crotch” axis of the first main component.

  In the screen configuration shown in FIG. 7, the slide button 6 p corresponding to the first window 2 p indicates “large crotch” in the display area 3 a of the “large crotch-small crotch” axis of the first main component, and the second main component. The slide button corresponding to the first window 2p indicates “two straight lines” in the “straight line-two straight line” axis display area 3b, and the first main component in the “high tempo-low tempo” axis display area 3c. The slide button corresponding to the first window indicates “low tempo”, the slide button corresponding to the first window indicates “normal” in the display area 3 e of the “left-to-right” axis of the fourth principal component, and the fifth In the display area 3d of the main component “inner crotch-gani crotch” axis, the slide button corresponding to the first window indicates “normal”, and the display area 3f of the sixth main component “left leg load-right leg load” axis. So first win Slide button that corresponds to the c 2p indicates "left leg burden". These indicate that the current walking of the subject has the characteristics indicated by the slide buttons 6p on the six evaluation axes. Then, by pressing the play button 4p, a moving image of the footprint image of the subject having these characteristics can be played in the first window 2p. Similarly, by pressing the play button 4q of the second window 2q, a moving image of the footprint image showing the previous walking feature can be played on the second window 2q. Further, by simultaneously pressing the playback button 4p of the first window 2p and the playback button 4q of the second window 2q, these playbacks may be simultaneously performed. As a result, the previous walk and the current walk can be easily compared visually.

  Note that the reproduction and stop of the moving image in the first window 2p and the second window 2q can be performed at any time.

  Further, in the screen of FIG. 7, a “sample” may be selected that changes the evaluation on a specific evaluation axis in walking when measuring the walking parameter of the same subject by the walking selection button 5 q. For example, as shown in FIG. 8, in the display area 3b of the second principal component “straight line-double line” axis, the slide button representing the current evaluation result is “double line”, but corresponds to the second window. The slide button 6q to be used is “straight line”. As a result, in this walking feature of the subject, the evaluation of the “first straight line—two straight lines” axis of the second principal component becomes “one straight line”, but the footstep image moving image that does not change the evaluation on the other evaluation axes 2 window 2q.

  As described above, according to the display method of the present invention, it is possible to easily observe the entire gait with a moving image when the walking feature on the predetermined evaluation axis is improved or deteriorated.

  Further, according to the display method of the present invention, it is not always preferable that the evaluation of each axis is “normal”. For example, when aiming at a gait that feels harsh, it is preferable to set “high tempo” on the “high tempo-low tempo” axis of the third main component. As described above, according to the present invention, by changing the evaluation of each evaluation axis as appropriate and observing the moving image of the footprint image in that case, there is an improvement in the walking feature necessary for achieving the desired gait. I will understand.

4-4 Advice Advice that corresponds to the walking characteristics of the subject may be displayed on the display that displays the footstep image. In the walking feature display method shown in FIG. 7, the walking feature is represented by six evaluation axes, and the evaluation is performed in two or three stages per one axis. For example, there are three stages in each of the six evaluation axes. If the evaluation is, so that the gait of 3 ^six in total are distinguished. In this case, advice, it is preferable that the different advice for each of gait 3 ^six are properly made.

1 screen 2p 1st window 2q 2nd window 3a, 3b, 3c, 3d, 3e, 3f Display area 4p, 4q Play button 5p, 5q Walk selection button 6p, 6q Slide button

Claims (10)

Measure subject's walking trace,
Using the measured walking trace, the subject's walking characteristics are expressed as an evaluation axis representing the degree of large and small crotch, an evaluation axis representing the extent of the step width, an evaluation axis representing the speed of the walking pitch, and the walking direction. 5 for each evaluation axis in at least one evaluation axis representing an evaluation axis representing the degree of deviation to the left, right, an evaluation axis representing the degree of the inner crotch or the crotch, and an evaluation axis representing the degree of load bias to the left or right foot. Evaluate in multiple stages, 2 stages or less ,
A footprint image moving image in which unit images of footprints are sequentially arranged on the screen, and the direction and position of the unit image on the screen and the time interval to be arranged on the screen are determined based on the stepwise evaluation value of the subject on the evaluation axis This is a walking feature display method in which a moving image is created by integrating stepwise evaluation values for each evaluation axis , and the moving image is displayed on a display. Obtaining walking parameters including walking factors measured from walking traces from multiple subjects, acquiring multiple principal components obtained by standardizing the walking parameters and analyzing the principal components as an evaluation axis for walking features,
The walking feature display method according to claim 1, wherein a walking factor is measured from a walking trace of an arbitrary subject, and a walking feature on the evaluation axis of the subject is evaluated in a plurality of stages using a walking parameter including the walking factor. The method for displaying a walking feature according to claim 1 or 2, wherein a moving image having a stepped evaluation value on at least one evaluation axis with respect to the walking feature of the subject is displayed on a display as a moving image of a footprint image as a control.   The display method according to claim 3, wherein a moving image of a footprint image of a walking feature as a contrast with a moving image of a subject's footprint image is displayed in parallel on the same screen. The display method according to claim 3 or 4, wherein a moving image of a footprint image at the time of different measurement of a subject is displayed as a control image.   Evaluation axis is "large crotch-small crotch" axis, "straight line-double straight line" axis, "high tempo-low tempo" axis, "leftward-rightward" axis, "inner crotch-gigantic crotch" axis, "left leg burden-right leg burden" axis The display method according to claim 1, wherein at least one of them is used.   The display method according to claim 1, wherein each evaluation axis is evaluated in three stages. The display method according to claim 1, wherein the “straight line—double line” axis is evaluated in two stages.   The display method according to any one of claims 1 to 8, wherein the vicinity of the base of the toes and the vicinity of the heel of each footprint in the footprint image is displayed in a color different from the surroundings according to a load situation.   The display method according to claim 1, wherein from the first principal component to the sixth principal component by principal component analysis is used as an evaluation axis for walking features.

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