KR102235926B1 - Gait Analysis System Using Smart Insole - Google Patents

Abstract

Walking data analysis system through a smart insole according to the present invention, a smart insole including a plurality of pressure sensors for measuring the pressure pressed by the foot of the foot according to the foot of the pedestrian; A pressure receiving module receiving pressure information measured by the pressure sensor, a walking image input module receiving a walking image of the pedestrian, and a reference line combining unit generating a composite image obtained by displaying and processing a virtual reference line on the walking image. An image synthesizing module that analyzes and processes a plurality of the pressure information to calculate evaluation data for the pedestrian's walking, and a pressure image generation that generates a pressure image representing the pressure distribution in the smart insole for each walking time. A controller including a module and a data generation module for generating gait analysis data in which the pressure image, the composite image, and the evaluation data are integrated and processed; And a pedestrian terminal that receives and displays the walking analysis data.

Description

Gait Analysis System Using Smart Insole}

The present invention relates to a walking data analysis system through a smart insole, and in more detail, a sensor capable of detecting pressure is mounted on the insole, and the walking characteristics of the pedestrian are analyzed by analyzing the walking data of the pedestrian through the sensor. In addition to guiding, it is related to a walking data analysis system through a smart guide that allows you to immediately grasp whether you are performing the correct walking through an image.

Humans have continued systematic efforts to stay healthy and maximize their potential for well-being. In the case of Korea, until the early 1990s, most individuals had been passive healthcare (health management) such as going to hospitals only when a disease occurred, and as medical institutions and medical device manufacturers led the healthcare market, individuals were It was just a consumer of care products.

Since the 2000s, personal interest in healthcare has increased due to an increase in income and medical benefits due to various welfare policies, and healthcare products have exploded. In addition, individuals are beginning to be reborn as'productive consumers' who directly participate in product development and distribution processes beyond the level of simple customers who use products as consumers. In recent years, there is an increasing demand to use household products such as furniture, clothes, shoes, etc. frequently used in daily life in a form capable of healthcare.

Meanwhile, shoes generally include sports shoes, fashion shoes, and indoor shoes. Among these footwear, sneakers have been developed with a structure suitable for the sport depending on the sporting sport, and most of these sneakers have features of the sole structure, and fashion shoes are commonly worn out or in everyday life. Shoes, and indoor shoes are lightweight and convenient shoes that can be worn indoors or in the yard and around houses. The most important part of these shoes is the insole that the user's soles touch.

Although it differs for each individual, a person walks hundreds of thousands of kilometers throughout his life, and every 1Km walk is subject to approximately 10 to 20 tons of pressure. In addition, acquired diseases related to feet are appearing one after another due to congenital foot diseases or the healthy living environment of modern people (obesity, lack of exercise, walking habits, neglect of management, etc.). In addition, even if it is walking, not everyone walks the same, and even when walking, the impact applied to the left/right foot may be different or abnormally large, which may adversely affect the health of the pedestrian.

To correct gait, which is a dimension of preventing this, the following technology has been disclosed.

First, Korean Patent Registration No. 10-1263216 discloses "smart shoes and its operation method", and includes a film-type insole sensor measuring a change in force applied by the user's foot as a resistance value; An acceleration sensor that measures an acceleration value according to a change in movement of the user's foot; And a microcontroller configured to predict the current state and amount of exercise of the user using the resistance value and the acceleration value, and generate state information and exercise amount information of the user.

These devices have the advantage of being able to measure the activity and sociability of the elderly in daily life such as exercise facilities and rest facilities, but these smart shoes can only predict the user's condition and amount of exercise, and more detailed foot pressure distribution. It is somewhat inconvenient because you cannot check the slope or the like.

As another prior art, according to Korean Patent Laid-Open No. 10-2014-0062541 "Healthcare Monitoring System Using Smart Insole", a separate sensor sensitively senses the temperature, humidity, and pressure in the shoe without stimulating each part of the sole. Using this, it describes a smart insole that provides a monitoring system that can monitor the state of the user's left/right foot and the state of the left/right shoe.

However, this monitoring system has the function of detecting pressure, temperature, and humidity for the left and right feet, but the actual walking motion requires the balance of both feet while using both feet. There are some problems to use for actual walking movements.

Therefore, a sensor capable of detecting pressure is installed on the insole, and through this sensor, it not only guides the pedestrian's walking characteristics by analyzing the pedestrian's walking data, but also can immediately grasp whether or not the correct walking is being performed with an image. It is necessary to develop a walking data analysis system through smart guides.

The present invention was conceived to overcome the problems of the above technology, and equipped with a sensor capable of detecting pressure on the insole, and by analyzing the pedestrian's walking data through this sensor, as well as guiding the pedestrian's walking characteristics, Its main purpose is to provide a walking data analysis system through a smart guide that allows you to immediately grasp whether you are walking properly through video.

Another object of the present invention is to provide a configuration capable of determining whether or not left-right bias, walking consistency, normal walking ratio, walking speed, etc. in a user's walking through pressure information.

Another object of the present invention is to provide a configuration for immediately grasping a gait problem by providing such gait analysis data together with a gait image of a user.

Another object of the present invention is to provide a new analysis method in the analysis of left and right bias, walking consistency, normal walking ratio, walking speed, and the like.

Another object of the present invention is to provide an additional correction configuration capable of removing noise that may occur when analyzing step data.

In order to achieve the above object, as a walking data analysis system through a smart insole, smart insole including a plurality of pressure sensors for measuring the pressure pressed by the foot of the foot of the pedestrian; A pressure receiving module receiving pressure information measured by the pressure sensor, a walking image input module receiving a walking image of the pedestrian, and a reference line combining unit generating a composite image obtained by displaying and processing a virtual reference line on the walking image. An image synthesizing module that analyzes and processes a plurality of the pressure information to calculate evaluation data for the pedestrian's walking, and a pressure image generation module that generates a pressure image representing the pressure distribution in the smart insole for each walking time. And a data generation module for generating gait analysis data in which the pressure image, the composite image, and the evaluation data are integrated and processed. And a pedestrian terminal that receives and displays the walking analysis data.

Furthermore, the data calculation module includes a balance analysis unit that analyzes the pedestrian's walking balance value based on the measured pressure information, and a consistency analysis that analyzes the pedestrian's walking consistency value based on the measured pressure information. And, a ratio analysis unit that calculates the pedestrian's walking ratio value based on the measured pressure information, and a normal walk analysis unit that analyzes the normal walking ratio of the pedestrian based on the measured pressure information, and the pedestrian A speed-based analysis unit that calculates a walking speed value based on the walking speed of, and data for calculating evaluation data including the walking left and right balance, the walking consistency, the stance ratio, the normal walking ratio, and the walking speed value It characterized in that it includes a calculation unit.

In addition, the pressure image generation module, an image generation unit that generates an insole image of the smart insole, a sensor position display unit that displays the position of the pressure sensor on the insole image, and the pressure measured for each of the pressure sensors And a color change processing unit for differentially discoloring the insole image according to the height of the information value, and an image generation unit for generating a pressure image based on the plurality of generated insole images.

According to the walking data analysis system through a smart insole according to the present invention,

1) A sensor that can sense pressure is installed on the insole, and through this sensor, it not only guides the pedestrian's walking characteristics by analyzing the pedestrian's walking data, but also provides an instant grasp of whether the person is walking properly with an image. And

2) Through the measured pressure information, it is possible to determine whether the user's walking is biased, walking consistency, normal walking ratio, walking speed, etc.

3) In addition to providing a new analysis method for analysis of left and right bias, walking consistency, normal walking ratio, walking speed, etc.,

4) The reliability of the analysis data was improved by removing noise that may occur when analyzing the step data.

1 is a conceptual diagram showing the basic configuration of the smart insole of the present invention.
Figure 2 is a conceptual diagram showing a detailed configuration of the smart insole of the present invention.
Figure 3 is an exemplary display of a pedestrian terminal guiding information to the user through the smart insole of the present invention.
Figure 4 is a block diagram showing the configuration of the controller of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings are not drawn to scale, and the same reference numerals in each drawing refer to the same components.

Figure 1 is a conceptual diagram showing the basic configuration of the smart insole of the present invention, Figure 2 is a conceptual diagram showing the detailed configuration of the smart insole of the present invention, Figure 3 is to guide information to the user through the smart insole of the present invention This is an exemplary display of a pedestrian terminal.

As can be seen in Figures 1 to 3, as the walking data analysis system of the present invention is located inside the shoe, smart insole including a plurality of pressure sensors 11 for measuring the pressure pressed by the foot of the foot of the pedestrian (10) And, a controller 20 that receives the measured pressure information from the pressure sensor 11 included in the smart insole 10 and analyzes it to measure the balance of the sole, and the pressure sensor 11 is included. It is based on the configuration of the pedestrian terminal 40 that displays information by communicating with the controller 20 so that the pedestrian wearing the shoes including the smart insole 10 can check the information measured by the smart insole 10.

Here, in the case of the pedestrian terminal 40, a terminal or electronic device including a display device capable of displaying information received from the control through wired/wireless communication networks such as a smart phone, PDA, tablet PC, notebook PC, and desktop computer. Of course, a terminal including a speaker device capable of guiding information by sound while receiving data from the controller 20 through a wireless communication network may be used.

At this time, the insole (insole) refers to the sole (insole) of a shoe, and generally, when a shoe is worn, the insole provides a cushioning feeling to the sole of the foot and plays a role in relieving fatigue even when walking for a long time. The smart insole 10 of the present invention includes a plurality of pressure sensors 11 in this insole so that the sole of the foot presses the surface of the smart insole 10 according to the walking motion, each included in the smart insole 10 The pressure sensor 11 recognizes this pressing force and generates pressure information.

In addition, the smart insole 10 is provided with a communication means and transmits pressure information to the controller 20 which also has a communication means through the communication means, mainly in a wireless manner.

The pressure information is received through the pressure sensor 11 included in the smart insole 10, and the controller 20 analyzes it, and the analyzed walking data and a pressure image visualizing this, taken when a pedestrian walks. It is to be equipped with a basic configuration through the walking image to allow the pedestrian to check the pedestrian terminal (40). In addition, since the controller 20 must be able to combine the communication function with the pedestrian terminal 40, it basically includes a separate wired/wireless communication function.

In addition, the walking data analysis system of the present invention provides a pressure image, that is, an image visualizing the current pressure state of the smart insole 10 (this is referred to as a pressure image) as shown in the example of FIG. ) To confirm. At this time, since the walking image captured in real time of the person's walking is simultaneously outputted with the pressure image, not only the walking characteristics but also the role of gait correction for correct walking is performed at the same time. In addition, when the pedestrian terminal 40 can be confirmed by a medical worker such as a doctor, it is of course possible to diagnose a more accurate patient (pedestrian) condition by checking the analyzed walking data, and the walking image and pressure image.

3 is a block diagram showing the configuration of the controller 20 of the present invention.

The configuration of the controller 20 included in the smart insole of the present invention will be described in more detail with reference to FIGS. 1 to 3 and 4 described above.

First, the controller 20 is a basic configuration, a pressure receiving module 100, a walking image input module 200, an image synthesis module 300, a data calculation module 400, a pressure image generation module 500, a data generation module It basically includes (600).

The pressure receiving module 100 performs a function of receiving pressure information measured from the plurality of pressure sensors 11 included in the smart insole 10 through the above-described communication means. At this time, the pressure receiving module 100 receives the pressure information of each pressure sensor 11 in real time, and has a function of data tracking as a basis.

The walking image input module 200 performs a function of receiving a walking image for the pedestrian through wireless communication or wired communication such as nfc, wifi, and Bluetooth. In this case, the walking image may be that the pedestrian inputs his or her walking image from a first-person view, or another person may have captured the pedestrian's walking image. In this case, preferably, in the case of first-person shooting, the pedestrian himself/herself photographs his/her walking image through the pedestrian terminal 40 and transmits it to the controller 20 through an application interlocked with the smart insole 10. This is desirable.

The image synthesizing module 300 displays and processes a virtual reference line 60, which is a reference for walking, on the walking image and generates a synthesized image obtained by synthesizing the virtual reference line 60 as a reference for walking. At this time, as a detailed configuration of the image synthesizing module 300 for synthesizing the virtual reference line 60 to the walking image, the image synthesizing module 300 includes a floor surface detection unit 310, a reference line setting unit 320, and a reference line display unit 330. ) May be further included.

The floor surface detection unit 310 detects a floor surface, which is a reference surface on which a pedestrian is walking, from the photographed walking image. After that, the most reference line is set on the floor through the reference line setting unit 320, and the virtual reference line 60 set through the reference line display unit 330 is displayed and synthesized on the walking image, so that the virtual reference line 60 is The displayed composite image is generated.

In this case, there is no separate limitation on the method of setting the virtual reference line 60, and the length and shape of the virtual reference line 60 may be changed based on the pedestrian's walking direction and whether the detected floor surface is curved.

The data calculation module 400 analyzes and processes a plurality of the pressure information to calculate evaluation data for the pedestrian's walking. At this time, the data calculation module 400 includes a balance analysis unit 410 for analyzing the left and right balance for walking, a consistency analysis unit 420 for performing an analysis on walking consistency, and an analysis using the stance ratio of the pedestrian. A ratio analysis unit 430 for performing, a normal step analysis unit 440 for performing an analysis through whether or not a pedestrian is walking normally, and a speed-based analysis unit 450 for performing an analysis based on walking speed, and Further, it includes a detailed configuration of the data calculation unit 460 for calculating evaluation data by integrating the above-described data.

The balance analysis unit 410 performs a function of analyzing the left and right balance values of the pedestrian based on the pressure information measured from each of the pressure sensors 11. At this time, the left and right balance analysis can be referred to as an analysis of which side of the two soles the pressure distribution is focused, and the left and right balance is a state in which the pressure is evenly distributed over the left and right soles, that is, the left and right pressure ratio is 5 The closer to :5, the higher score is given to perform not only simple data analysis but also the function of allowing pedestrians to perform the correct gait.

At this time, the balance analysis unit 410 includes a left pressure value, which is an average value of the total pressure information measured on the left foot of the pedestrian through the left and right pressure measurement part 411, which is a detailed configuration, and the total pressure measured at the right foot of the pedestrian. The right pressure value, which is the average value of the information, is calculated, and the left pressure value and the right pressure value are compared and processed through the input determination part 412, which is another detailed configuration, to determine an input value for numerical calculation. At this time, preferably, the left pressure value and the right pressure value are compared as a ratio (for example, 33:67, 45:55, 60:40, etc.), and then the relative ratio between the left pressure value and the right pressure value is obtained. Among them, the smaller value is determined as the input value.

The numerical calculation part 413, which is the last detailed configuration of the balance analysis unit 410, calculates a walking left and right balance value based on the correction value, in which case the walking left and right balance value is calculated through Equation 1 below. It is characterized.

Equation 1,

는 보행 좌우밸런스 수치,

는 인풋값을 의미한다.here,

Is the gait left and right balance value,

Means the input value.

Therefore, the determined input value is converted into a logarithmic scale and converted into a numerical value.In this case, in the case of the walking balance value, a score close to 100 points is given as the input value is closer to 50, and a lower score is given as the input value is further away from 50. You lose.

In addition, at this time, the input value is divided by a value of 50. In this case, the input value correction is performed by dividing the determined input value by 50, which is the input value in the ratio of 50:50. It is to be able to process the comparison between the numerical value and the abnormal value.

The consistency analysis unit 420 performs a function of analyzing a walking consistency value obtained by converting the walking consistency of the pedestrian based on the measured pressure information. This walking consistency is to store the pressure information applied to each step, obtain the variance of the stored pressure information, and determine that the smaller the variance is, the more consistent walking is, and the larger the variance, the more inconsistent walking is determined. . To this end, the consistency analysis unit 420 calculates a total pressure value, which can be referred to as the sum of the pressure information values for each step of the pedestrian, based on the pressure information measured through the pressure value calculation part 421, and The gait consistency value is analyzed based on the total pressure value through the analysis part 422. At this time, the numerical analysis part 422 calculates the walking consistency value through Equation 2 below.

Equation 2,

는 보행 일관성 수치,

은 산출된 전체압력값의 개수,

는

번째 전체압력값,

는 산출된 모든 전체압력값의 평균을 의미한다.here,

Is the gait consistency figure,

Is the number of calculated total pressure values,

Is

Total pressure value,

Means the average of all calculated total pressure values.

This total pressure value plays a role of calculating a numerical value based on the variance of the total pressure value and indexing it. The smaller the variance, the higher the gait consistency value, so the higher the score, that is, the higher gait consistency, and the larger the variance, the lower the gait consistency value, and the lower the score, that is, the low gait consistency.

Based on the measured pressure information, the ratio analysis unit 430 determines the ratio of the stance phase (the time when the foot touches the ground, when the pressure information is measured) among the total steps of the pedestrian, and this is the ideal stance phase ratio. It compares with and calculates the walking ratio value. This ratio analysis unit 430 includes a ratio calculation part 431 and a numerical calculation part 432,

The ratio calculation part 431 calculates the stance ratio during the walking time, that is, the time the pedestrian walked based on the measured pressure information. This can be calculated by comparing and processing the time at which the pressure information is measured among the total walking time, and preferably, the value of the stance ratio is calculated as a% value.

The numerical calculation part 432 calculates the walking ratio value of the pedestrian based on the calculated stance ratio. In this case, the following Equation 3 is used to calculate the walking ratio value.

Equation 3,

는 보행비율수치,

는 입각기비율이다.here,

Is the walking ratio value,

Is the stance ratio.

Therefore, the calculated stance ratio is converted to a log scale and converted into a numerical value. In this case, the walking ratio value is preferably a score close to 100 points as the stance ratio is closer to 60, and a lower score as the distance from 60 is given. do. At this time, the reason for dividing the stance ratio by the value of 60 is that the ideal stance ratio is 60%, and therefore the walking ratio value is to compare and process the stance ratio of pedestrians with the ideal stance ratio and convert it into a log scale. I can.

The normal step analysis unit 440, which is a configuration of another data calculation module 400, performs a function of analyzing the normal walking ratio of the pedestrian based on the measured pressure information. The pressure information is measured, but when an abnormality occurs in the measured sequence of pressure information, the step is determined as an abnormal step, and the ratio of the number of normal steps is converted based on the total number of steps to determine how long you are walking normally. At this time, it is desirable to convert the normal walking ratio into a% value.

Finally, the speed-based analysis unit 450 performs a function of calculating a walking speed value based on the walking speed of the pedestrian.

First, under the assumption that the walking image was taken at a point separated from the pedestrian at a preset distance, that is, the reference distance, the walking image displays a scale based on xy coordinates that can identify the height and stride of the pedestrian. The analysis unit 450 can determine the distance the pedestrian has moved through this scale, and at the same time, can check the time of the process of the pedestrian's movement through a timer, thereby obtaining the walking speed.

Furthermore, the walking speed value is characterized in that it is calculated through Equation 4. Here, the walking speed is based on m/s.

Equation 4,

는 보행속도수치,

는 보행속도를 의미한다.here,

Is the walking speed value,

Means walking speed.

Here, considering that the ideal walking speed is 1.6m/s, if the walking speed is 1.6m/s or more, you get a result value of 100 points, and if the walking speed is less than 1.6m/s, additional score conversion is required. If the walking speed is smaller than 1.6, the lower score is converted from the walking speed value, and the closer to 1.6 from a value less than 1.6, a relatively high value is obtained, and a value of 100 points is obtained when the walking speed is 1.6 or more.

Finally, the data calculation unit 460 of the data calculation module 400 synthesizes all of the walking balance, the walking consistency, the stance ratio, the normal walking ratio, and the walking speed value to calculate evaluation data including the same. And, the generated evaluation data is used when generating gait analysis data, which will be described later.

Furthermore, the above-described consistency analysis unit 420 obtains the total pressure value and determines the consistency of walking through it. Therefore, there is a characteristic of analyzing and processing the entire step, not individual steps, and in this case, a value is calculated using a larger amount of pressure information data. At this time, when calculating the total pressure value from the measured pressure information value, for example, when there is a small obstacle under the foot of a pedestrian, or when an error of the pressure sensor 11 occurs, it is high regardless of the pedestrian's walking characteristics. The pressure information value is detected, which may lower the reliability of the gait consistency analysis. When the noise on the data can be removed, the reliability of the data can be further increased.To this end, the consistency analysis unit 420 includes a peak detection part 423, a reference calculation part 424, and a correction value calculation part 425. It may contain more.

번째 걸음을 가정했을 때

번째 걸음에 피크값이 검출되는 경우 해당 걸음 시 압력정보 값의 특이점이 발견되었으므로 해당 압력정보 값의 경우 보정을 거치게 되고, 피크값이 검출되지 않는 경우 보정을 하지 않고 바로 전체압력값을 연산할 수 있게 된다.The peak detection part 423 performs a function of detecting a peak value from the value of the pressure information measured for a specific step. That is, the pressure information value is collected at each step and the peak value is detected from the collected pressure information value. At this time

Assuming the first step

If a peak value is detected at the first step, since a singular point of the pressure information value was found at the time of the step, the corresponding pressure information value undergoes correction. If the peak value is not detected, the total pressure value can be calculated immediately without correction. There will be.

The reference calculation part 424 performs a function of calculating a correction reference value capable of defining a range of noise, which is unnecessary and causes confusion in conversion, based on the detected peak value. At this time, the correction reference value is calculated based on Equation 5 below.

Equation 5,

는

번째 걸음에 대한 보정 기준값,

는

번째 걸음에 대해 측정된 피크 값을 의미한다.here,

Is

Calibration reference value for the first step,

Is

It means the peak value measured for the first step.

Equation 5 is to calculate the correction reference value according to the peak value detected by the peak detection part 423 described above. At this time, the correction reference value defines a range of noise, and since the peak value can immediately become noise, the peak It can be seen that the larger the value, the larger the correction reference value, which is a criterion for determining noise.

The correction value calculation part 425 calculates a correction pressure value by removing noise from the input value of the pressure information based on the correction reference value. In this case, the operation is performed through Equation 6 below.

Equation 6.

는

번째 걸음에 대한 보정 압력값,

는

번째 걸음 시에 측정된 상기 압력정보 중

번째 압력정보의 압력값,

는

번째 걸음에 대한 보정 기준값,

은

번째 걸음 시에 측정된 압력정보의 총 개수를 의미한다.here,

Is

Corrected pressure value for the first step,

Is

Among the pressure information measured at the time of the first step

Pressure value of the second pressure information,

Is

Calibration reference value for the first step,

silver

It means the total number of pressure information measured at the time of the first step.

Equation 6 is to calculate the corrected pressure value by removing noise from the pressure value of the input pressure information, and at this time, the corrected pressure value can be calculated from the result of subtracting the correction reference value from the pressure value of the input pressure information. The value means a value in which noise is removed from the pressure values of a plurality of pressure information calculated for each step.

Therefore, when the corrected pressure value is calculated in this way, the pressure value calculation part 421 calculates the total pressure value for each step of the pedestrian based on the corrected pressure value from which noise has been removed. Can be higher.

In addition, a pressure image visualizing the pressure state of the smart insole 10 in real time is generated through the pressure image generation module 500, which is another component of the controller 20. An example of such a pressure image can be confirmed through FIG. 1 or FIG. 3. The pressure image generation module 500 basically includes an image generation unit 510, a sensor location display unit 520, a color change processing unit 530, and an image generation unit 540.

The image generation unit 510 includes a function of generating an insole image of the smart insole 10. This is to perform preparations to show the pressure state by imaging the shape of the smart insole 10.

The sensor position display unit 520 displays the position of the pressure sensor 11 on the insole image as shown in FIG. 1 described above. At this time, not only the position of the pressure sensor 11 but also the coordinate information may be grasped together.

The color change processing unit 530 performs a function of differentially discoloring the insole image according to the level of the pressure information measured for each of the pressure sensors 11. At this time, the differential discoloration processing of the insole image refers to the insole image according to the height of the pressure information value for each coordinate on the insole image, that is, for each position of the pressure sensor 11 within the insole image, as illustrated in FIG. 1 or 3. The pressure information of the smart insole 10 can be identified at a glance by processing the differential color change in red color for places where the pressure information value is large, and blue for places where the pressure information value is small or where no pressure information is measured. To be able to.

The image generator 540 performs a function of generating a pressure image based on the plurality of generated insole images. This is to play a role of connecting a plurality of insole images generated for each step as a single image.

The data generation module 600, which is a component of the last controller 20, serves to generate gait analysis data in which the pressure image, the composite image, and the evaluation data are integrated and processed. At this time, the pressure image and the synthesized image must be simultaneously output according to the pedestrian's walking, and for this purpose, a template generation unit 610, an image data generation unit 620, and an integrated data generation unit 630 are included.

The template generation unit 610 is output to the pedestrian terminal 40 as shown through the example of FIG. 3 and generates an image template 50 including a first area 51 and a second area 52 Performs the function of This can be referred to as a sort of screen division configuration.

The image data generation unit 620 arranges and outputs the synthesized image in the first region 51, arranges the pressure image in the second region 52, and outputs the image data simultaneously with the synthesized image. It performs the function of creating. Therefore, as shown in FIG. 3, it is possible to check the pressure distribution of the smart insole 10 according to the pedestrian's step in real time.

Finally, the integrated data generation unit 630 generates gait analysis data by integrating the evaluation data into the image data. The generated gait analysis data is transmitted to the pedestrian terminal 40 so that the pedestrian can check his or her gait in real time, and further, can be used for treatment.

As described so far, the walking data analysis system through the smart insole according to the present invention is expressed in the above description and drawings, but this is only described as an example, and the spirit of the present invention is not limited to the above description and drawings, and the present invention Of course, various changes and changes are possible within the scope of not departing from the technical idea of

10: smart insole 11: pressure sensor
20: controller 40: pedestrian terminal
50: image template 51: first area
52: second area 60: virtual baseline
100: pressure receiving module 200: walking image input module
300: image synthesis module 310: bottom surface detection unit
320: reference line setting unit 330: reference line display unit
400: data calculation module 410: balance analysis unit
411: left and right pressure measurement part 412: input determination part
413: Numerical calculation part
420: consistency analysis unit 421: pressure value calculation part
422: numerical analysis part 423: peak detection part
424: reference calculation part 425: correction value calculation part
430: ratio analysis unit 431: ratio calculation part
432: Numerical calculation part 440: Normal step analysis unit
450: speed-based analysis unit 460: data calculation unit
500: pressure image generation module 510: image generation unit
520: sensor location display unit 530: discoloration processing unit
540: image generation unit 600: data generation module
610: template generation unit 620: image data generation unit
630: Integrated data generation unit

Claims (15)

As a walking data analysis system through smart guide,
Smart insole including a plurality of pressure sensors for measuring the pressure pressed by the foot of the foot of the pedestrian;
A pressure receiving module for receiving pressure information measured by the pressure sensor,
A walking image input module for receiving a walking image for the pedestrian, and
An image synthesizing module including a reference line synthesizing unit for generating a synthesized image obtained by displaying and processing a virtual reference line on the walking image, and
A data calculation module that analyzes and processes a plurality of the pressure information to calculate evaluation data for the pedestrian's walking;
A pressure image generation module for generating a pressure image representing a pressure distribution in the smart insole for each walking time, and
A controller including a data generation module generating gait analysis data in which the pressure image, the composite image, and the evaluation data are integrated and processed;
Including; a pedestrian terminal for receiving and displaying the pedestrian analysis data,
The data calculation module,
A balance analysis unit that analyzes the pedestrian's left and right balance value based on the measured pressure information, and a consistency analysis unit that analyzes the pedestrian's walking consistency value based on the measured pressure information, and the measured pressure information A ratio analysis unit that calculates the pedestrian's walking ratio value based on, and a normal walk analysis unit that analyzes the normal walking ratio of the pedestrian based on the measured pressure information, and the walking speed based on the walking speed of the pedestrian. A speed-based analysis unit for calculating a numerical value, and a data calculation unit for calculating evaluation data including the walking left and right balance value, the walking consistency value, the walking ratio value, the normal walking ratio, and the walking speed value,
The ratio analysis unit,
A ratio calculation part that calculates the stance phase ratio during the walking time based on the measured pressure information, and a numerical calculation part that calculates the walking ratio value of the pedestrian based on the stance phase phase ratio,
The above numerical calculation parts are:
A walking data analysis system through a smart insole, characterized in that calculating the walking ratio value through Equation 1 below.
Equation 1,

(here,

Is the walking ratio value (score),

Is the stance ratio (%)) delete The method of claim 1,
The pressure image generation module,
An image generation unit that generates an insole image of the smart insole,
A sensor position display unit for displaying the position of the pressure sensor on the insole image, and
A color change processing unit for differentially discoloring the insole image according to the level of the pressure information measured for each of the pressure sensors, and
A system for analyzing walking data through a smart insole, comprising: an image generator for generating a pressure image based on the generated plurality of insole images. The method of claim 1,
The data generation module,
A template generation unit that is output to the pedestrian terminal and generates an image template including a first area and a second area, and
An image data generator configured to output and process the composite image to the first region and simultaneously output and process the pressure image to the second region to generate image data, and
A walking data analysis system through a smart guide, characterized in that it comprises an integrated data generation unit for generating walking analysis data by integrating the evaluation data in the image data. The method of claim 1,
The image synthesis module,
A floor surface detection unit that detects a floor surface in the walking image, and
A reference line setting unit for setting a virtual reference line on the floor surface, and
A system for analyzing walking data through a smart insole, further comprising a reference line display unit configured to display and process the virtual reference line on the walking image to generate a synthesized image. The method of claim 1,
The consistency analysis unit,
A pressure value calculation part that calculates a total pressure value for every step of the pedestrian based on the measured pressure information, and
A walking data analysis system through a smart insole, characterized in that it comprises a numerical analysis part for analyzing the walking consistency value based on the total pressure value. The method of claim 1,
The speed-based analysis unit,
A walking data analysis system through a smart insole, characterized in that calculating the walking speed value through Equation 2 below.
Equation 2,

(here,

Is the walking speed value (score),

Is the walking speed (m/s)) delete delete delete delete delete delete delete delete

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