KR101033198B1 - Unified measuring apparatus for physical activity promotion system - Google Patents

Abstract

An integrated measuring device for a student health fitness assessment system (PAPS) capable of simultaneously measuring various body information is provided. The integrated measuring device includes a screen for displaying a calibration figure, at least two cameras arranged up and down toward the screen, and at least two load cells arranged symmetrically with each other, such that a balance meter for measuring a user's weight and weight distribution ( and a central control unit for stitching the received image when there are several cameras and analyzing the stitched image with reference to horizontal and vertical reference lines displayed on the screen to determine the height and posture of the user. The central control unit calculates a center of pressure (COP) of the user from the distribution of the weight output from the balance meter, and further determines the posture by referring to the center of pressure (COP). According to the present invention, various body information including the posture information of the user can be measured accurately and easily.

Student Health Fitness Assessment System (PAPS), Educational Administration Information System (NEIS), Physical Information, Posture Measurement

Description

Unified measuring apparatus for physical activity promotion system

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an integrated measuring device for a student health fitness system (PAPS), and more particularly, to an integrated measuring device capable of precisely and simultaneously measuring a user's height, weight, body composition, grip strength, and body balance and posture. .

Modern people suffering from busy daily life lack exercise. In particular, due to the development of computer technology, modern people often live in front of a computer, and the amount of exercise is absolutely insufficient except for simple repetitive movements such as mouse manipulation or keyboard manipulation. In addition, with the rapid spread of the Internet, the time spent in front of modern computers is increasing. Therefore, various adult diseases caused by lack of exercise are threatening the health of modern people, raising awareness about this. Moreover, unlike the past, students in the growing age are faced with an increasingly fierce competition for entrance examination, and as a result, they spend more time sitting and studying indoors than exercising while directly moving outdoors. Students are always busy and not only have a hard time exercising and taking care of their health in a busy entrance exam, but they also spend a short break of time playing computer games. Therefore, there is a growing interest in promoting the health of modern people, especially in the growing season.

In order to maintain a healthy body and a healthy mind, objective and accurate measurement of the current state of health is of paramount importance. Furthermore, it is very important to develop healthy lifestyles and improve physical fitness from adolescence, such as elementary and secondary school, in order to lead a healthy life. Reflecting this trend, efforts are being made to systematize a method of measuring physical health, such as a fitness field in a conventional school physical education. The new physical fitness system includes the Student Physical Activity Promotion System (PAPS), which includes repeated runs (pacers) to measure cardiopulmonary endurance, long runs and step tests, sit-ups and forward flexion, muscle strength and This includes the sit ups to measure muscle endurance, grip and push-ups, 50m running and long jumps to measure wits, and the percent body fat and body mass index to measure body fat. Furthermore, items such as student's obesity, physical ability assessment, and posture assessment may also be included. Among these, posture detection is a very important item because spinal curvature caused by students carrying a heavy bag continuously or sitting in a chair in an inappropriate position for a long time is increasing.

However, despite this importance, it is not easy to evaluate the posture to diagnose the spinal state of the student. Currently, the measurer has to rely on the student's body shape and the state of the spine at random. This measurement method is not only inaccurate but also the precision varies significantly depending on the skill of the measurer. In addition, it is very difficult to evaluate a posture for a long time with several students. Therefore, it is almost impossible to accurately measure the degree of spine flexion of a student directly at a school without using expensive specialized equipment.

Therefore, there is a need for an integrated measuring device capable of performing the height, muscle strength, weight, and body composition test in one step, as well as precisely analyzing the user's posture by further using the body composition results and the balance of the user. Required.

An object of the present invention can measure a variety of body information, such as height, muscle strength, weight, and body composition of the user at the same time, as well as further improve the posture of the user by further using the weight distribution obtained using such body information and balance meter It is to provide an integrated measuring device for the Student Health Fitness Assessment System (PAPS) that can be automatically and precisely determined.

In addition, another object of the present invention is to provide an integrated measuring device for a student health fitness evaluation system (PAPS) to systematically manage the measured various body information and posture information through the educational administrative information system (NEIS).

One aspect of the present invention for achieving the above object, the user weight and the screen including the calibration figure, one or more cameras arranged in the vertical direction toward the screen, at least two load cells are arranged symmetrically to each other and A balance meter for measuring the distribution of weight and a horizontal and vertical baseline determined from a calibration figure, stitching images received from the cameras when there are multiple cameras, and horizontal and vertical stitched images An integrated measuring device for a student health fitness evaluation system (PAPS) including a central control unit for analyzing the reference lines to determine the height and posture of the user. In particular, the central control unit calculates a center of pressure (COP) of the user from the distribution of the weight output from the balance meter, and further determines the posture with reference to the center of pressure (COP). The integrated measuring device may further include a body composition analyzer that measures impedance of the user's body using contacts contacting at least four positions of the user's body and measures sectional body components of the user using the measured impedance. Further comprising, the central control unit is characterized in that to determine the posture further considering the body composition for each site. In addition, the integrated measuring device further includes a gyrometer for measuring the left and right arm muscles of the user, the central control unit predicts the left and right muscle mass of the user by using the difference of the left and right arm muscles of the user, further considering the estimated left and right muscle mass It is characterized by determining the posture. Preferably, the central control unit acquires the front image of the user from the cameras, stitches the obtained front image when there are several cameras, and the center point of the head of the user and other body parts from the stitched front image. A side tilt line between the center points is calculated, and the degree of scoliosis of the user is determined using the calculated angle between the left and right tilt lines and the vertical reference line. Furthermore, the central control unit calculates a shoulder line connecting the uppermost points of the user's both shoulders from the stitched front image, and further determines the scoliosis of the user using the calculated angle between the shoulder line and the horizontal reference line. . Furthermore, the central control unit acquires the rear image of the user from the cameras, stitches the acquired rear image when there are several cameras, and between the center point of the user's back neck and the center of the waist region from the stitched rear image. It is characterized in that to calculate the left and right tilt line, and further determine the degree of scoliosis of the user by further using the angle between the calculated left and right tilt line and the vertical reference line. In addition, the central control unit acquires the side image of the user from the cameras, stitches the obtained side image when there are multiple cameras, and the front and rear inclination lines connecting the outermost point of the forearm of the user and the center point of the arm from the stitched side image. (forward tilt line) is calculated, and the degree of back vertebrae of the user is determined using the calculated angle between the front and rear tilt lines and the vertical reference line. In addition, the central control unit obtains one of the front, side, and rear images of the user from the cameras, detects the positions of markers attached to a predetermined position of the user's body from the acquired image, and positions the markers. And at least one of a scoliosis and a posterior degree of the spine of the user from the positional relationship with the horizontal and vertical reference lines. In particular, the central control unit acquires the leg images of the user from the cameras, detects the positions of the markers attached to a predetermined position of the user leg from the acquired image, and the legs of the user from the positional relationship between the positions of the markers and the vertical reference line. The leg bending can be further determined. In addition, the central control unit included in the integrated measuring device according to the present invention may include the measured biometric information including at least one of body weight, pressure center (COP), body composition, height, and posture. Or NEIS) and store it in a format that is compatible with or transmit it over a network.

According to the present invention, the muscle strength and body composition of the user are measured at the same time using a gyrometer and body composition analyzer, the height and body shape of the user is obtained by processing the image obtained by the camera, and analyze and analyze the front and side images of the user The posture of the user may be precisely measured using the result and the body information of the user.

Furthermore, by using the integrated measuring device according to the present invention, the measured information is stored and transmitted by storing and transmitting various measured body information and posture information in a format that can be shared through the National Education Information System (NEIS). Can be managed systematically.

In order to fully understand the present invention, the operational advantages of the present invention, and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings which illustrate preferred embodiments of the present invention and the contents described in the accompanying drawings.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In addition, in order to clearly describe the present invention, parts irrelevant to the description are omitted, and the same reference numerals in the drawings indicate the same members.

Throughout the specification, when a part is said to "include" a certain component, it means that it may further include other components, without excluding the other components unless otherwise stated. In addition, the terms "... unit", "... unit", "module", "block", etc. described in the specification mean a unit for processing at least one function or operation, which means hardware, software, or hardware. And software can be implemented.

1 conceptually illustrates one embodiment of an integrated measuring device 100 according to the present invention.

The integrated measuring device 100 shown in FIG. 1 includes a screen 110, first and second cameras 110 and 120, a central control unit 150, a gyrometer 160 and 165, a balance meter 170, and a body composition. An analyzer 190. The balance meter 170 includes first to fourth plates 171, 173, 175, and 177. In FIG. 1, the gyrometers 160 and 165 may also be used as contacts of the body composition analyzer 190 including a metal plate (not shown). In addition, the plates 171, 173, 175, and 177 may transmit a load to a load cell (not shown) of the balance meter 170.

If desired, the user climbs upright on the plates 171, 173, 175, 177 of the balance meter 170. Then, the load cells mounted under the plates 171, 173, 175, and 177 measure the load at four points and transmit the loads to the central controller 150. For example, if the left and right body development degree of the user is balanced, the four load cells of the balance meter 170 will be subjected to the same load. The central control unit 150 may then determine the weight and balance of the user by summing the loads received from each load cell. The configuration and operation of the balance meter 170 will be described later in detail with reference to FIG. 5.

The height of the user is measured as follows.

1) The first and second cameras 110 and 120 are disposed to face the screen 110 and the image information received from the two cameras is stitched to obtain the entire image of the screen 110.

2) The preset calibration figure is detected from the acquired image of the screen 110, and the ratio of the apparent size and the actual size of the detected calibration figure is stored.

3) The user acquires and stitches the image information of the user by using the first and second cameras 110 and 120 by writing upright on the plates 171, 173, 175 and 177.

4) The apparent height of the user is detected from the acquired image information, and the actual height is calculated by applying the size ratio calculated in step 2) to the detected height.

The reason for the calibration is to precisely measure the height of the user without having to accurately set the distance between the screen 110 and the central controller 150 to a predetermined value (for example, 3 m) during the actual measurement. In addition, in order to obtain accurate height from the image information, the user can reduce the error due to hair by wearing a hat or placing an object weighing some weight on the head. The calibration figure and the horizontal and vertical reference lines will be described later with reference to FIG. 3.

The central controller 150 may also estimate the obesity of the upper and lower bodies of the user by analyzing the image information of the user acquired from the first and second cameras 110 and 120. For example, if you calculate the area of an image of a person, the area of the image of a person with a lot of body fat will be larger than that of a slim person. Therefore, the relationship between height and area can be used to estimate the degree of obesity of the user. In order to accurately measure the user's body shape, the front and side images can be used. In particular, the side image may be useful for estimating the abdominal obesity state. In the present specification, the body fat percentage indicating the degree of obesity is measured by dividing the body fat weight by the total body weight. Obesity is a measure of fat in the body and cannot be measured directly. As a test method, generally, the underwater body weight method to measure the body volume by the weight in the water, the air displacement method to measure the body volume by the pressure change in the tank, the hydrometry method to measure the body water content using the isotope, and DEXA (Dual energy X-ray absorptiometry) or MRI (magnetic resonance imaging) using a method of taking a cross-sectional image of the human body and analyze the body fat amount is used. In the case of the underwater weight method and the air displacement method, it is necessary to enter a tank or a tank for measurement, and thus expensive equipment is required and the measurement itself is a very complicated process. In the case of imaging using DEXA and MRI, the device is expensive and there are concerns about side effects for pregnant women and infants. However, the integrated measuring device 100 shown in FIG. 1 may quickly and accurately measure the body fat percentage of the user by using the front image and the side image of the user photographed using the camera. This technique is called DIP (Digital Image Plethysmography).

The DIP used in the present invention will be described below.

1) Take front and side images of the user's body. In this case, as described above, one image may be formed by stitching an image photographed using several cameras.

2) The background and the object are distinguished from the captured image. In order to facilitate the classification process, it is desirable that the background screen has a constant color.

3) When the background and the object are separated, the total body volume (TBV) of the user is estimated from the front and side images. TBV can be estimated as follows.

TBV = (.128 * X ₁ ) + (.031 * X ₂ )-25580.177

In Equation 1, X ₁ is the number of pixels of the front image, X ₂ is the number of pixels of the side image. Coefficient of X ₁ and X ₂ are the experimental values determined by using the correlation between the total TBV to the value of X ₁ and X _2. When applying Equation 1, the correlation between the results obtained by using the DIP and the underwater weight method reaches 0.919, and the cross validity R ² has a high value of 0.845.

4) When TBV is estimated, DB is calculated by calculating BM / TBV, and body fat percentage (% BF) is estimated using Equation 1 below.

% BF = 100 (4.95 / Db-4.50)

As a result of comparing the result calculated using the measuring method of Equation 1 with the result measured using DEXA, the cross-validity R ² of Equation 1 was 0.946 to 0.979 With a high value, the cross-validity R ² of 30 men and women can be obtained from 0.950 to 0.990. Therefore, through the DIP according to the present invention, the body fat percentage can be measured quickly and accurately without using expensive equipment such as the existing density method.

When performing the measurement according to the present invention, in order to prevent distortion of an image, it is preferable to divide a surface by installing a reference line in the periphery and to calculate a unit area of the divided pixel for each cell. Then, when obtaining the user's TBV from the image, the pixel number is multiplied by the pixel unit area per cell. In order to reduce the difference in shooting distance, it is preferable to arrange two or more cameras up and down to stitch the captured image. In addition, a technique of obtaining a difference between two images by performing a photographing including a face later, except for a face at the time of photographing, may be applied. As described above, the body fat measurement method according to the present invention can easily obtain a result having a high degree of validity of the standard test level, and promote the convergence of the information technology (IT) field and sports science.

The body composition analyzer 190 emits an electromagnetic signal from at least four contacts, and analyzes the characteristic of the reached signal to measure the bioimpedance of the user. As the number of contact points is increased, accurate body composition information can be obtained, as well as body composition for each body part of the user. In other words, the signals in the frequency ranges 5, 50 and 250 kHz are penetrated into the user's body using 8 contact electrodes and received and analyzed by the user's body parts (left arm, right arm, upper body, left foot, right foot), Body composition information such as protein, minerals, body fat mass, muscle mass, and muscle development by region can be obtained. By combining the measured height and weight information with the body composition information thus obtained, standard weight, body mass index (BMI), basic metabolic amount, daily calorie required, and the like can also be obtained. As such, when the body composition analyzer 190 is used, various body composition information may be obtained at a time, which is convenient. In addition, since the body fat rate measuring apparatus according to the present invention is a non-invasive device, it is possible to test the body fat rate at a low price and the convenience of the test is also increased.

The gyrometers 160 and 165 are used to measure the left and right muscle strength of the user. That is, when the user grasps the left and right gyrometers 160 and 165 with the maximum force, the maximum force may be measured by the left and right arm muscle force.

In the integrated measuring device 100 illustrated in FIG. 1, the central controller 150 may not use only the analysis result of the images acquired from the first and second cameras 110 and 120 to determine the posture of the user, but may balance the balance. Information received from the meter 170, the gyrometers 160 and 165, and the body composition analyzer 190 is used together.

For example, as a result of image analysis, when the upper body of the user is inclined to the left side, more load is applied to the left load cell among the load cells of the balance meter 170. Therefore, when the image analysis result and the output result of the balance meter 170 are combined, the accuracy of the posture evaluation may be improved. In addition, the central control unit 150 may determine the posture using the degree of imbalance of the left and right muscle strengths obtained from the gyrometers 160 and 165. In general, the strength of the arm mainly used by users is greater than the strength of other arms, but a large degree of imbalance means that the body does not develop in a balanced manner. Therefore, more consideration of the left and right muscle strength can determine the user's posture more accurately.

Body composition results for each body part received from the body composition analyzer 190 may also be used to evaluate a user's posture. Since the body composition analyzer 190 may also measure the left and right muscle mass, the development state of the left and right body may be more accurately evaluated. Therefore, it is possible to further increase the precision of the posture determination result by determining whether the evaluation result of the body composition analyzer 190 matches the result analyzed from the image information.

In addition, if the image analysis results and the body balance predicted from the gyrometers 160 and 165, the body composition analyzer 190, and the balance meter 170 do not match, the cause may also be inferred. For example, if the image analysis results that the user's upper body is tilted to the left but the user's weight is applied to the right side as a result of the output of the balance meter 170, this means that the user is in the correct position on the balance meter 170. Or a more severe imbalanced development of the user's body. This determination may be equally applied even when the image analysis result and the information received from the body composition analyzer 190 and the gyrometers 160 and 165 are inconsistent.

The central control unit 150 may analyze physical information such as an individual's health and fitness level, determine a type, intensity, time, and frequency of an exercise suitable for an individual based on the analysis result and provide the user as an exercise prescription. . Exercise prescription refers to a scientific and systematic health promotion service that properly controls the intensity and amount of exercise according to the progression of exercise, and is organized systematically on the athletic scientific basis with medical expertise. In order to maximize the effectiveness of the prescription, nutritional prescriptions suitable for various exercises may be provided together.

In addition, the central controller 150 may transmit or store the measured various body information through a network in a format compatible with the educational administrative information system (NEIS).

FIG. 2 is a side view of the integrated measuring device 100 shown in FIG. 1.

Referring to FIG. 2, when the user 210 is positioned on the balance meter 170, the first and second cameras 110 and 120 photograph the user. In this case, the screen 110 positioned behind the user may be colored in blue or white to accurately separate the user's image.

In FIG. 2, the reason why two cameras 110 and 120 are used is as follows. Usually, the height of the user image is three to five times the width. Therefore, when using a general camera, it is difficult to contain the user without distortion in one image. Shooting with a special lens like a fisheye lens is not impossible, but wider angles of view produce more nonlinear distortions, making it unsuitable for accurate height measurement.

Therefore, the integrated measuring device 100 illustrated in FIG. 2 photographs a user by using at least two cameras 110 and 120. In FIG. 2, it can be seen that the vertical angle of view of the first camera 110 is a1 and the vertical angle of view of the second camera 120 is a2. Then, the lower part of the image photographed by the first camera 110 and the upper part of the image photographed by the second camera 120 are respectively superimposed as X. Therefore, by stitching the image photographed by each camera using the overlapping image X, an image with less distortion can be obtained. As the number of cameras used increases, the distortion of the acquired image will be less. However, the present invention is not necessarily to use a plurality of cameras, it is also possible to use a single camera.

3 is a diagram illustrating a horizontal and vertical reference line and a figure for calibration displayed on the screen 110 shown in FIG. 1.

In FIG. 3, screen 110 includes horizontal reference lines A0, A1, A2, A3, A4, ... and vertical reference lines B0, B1, B2, B3, B4, ... and calibration figures C0. , C2, C3, C4, C5, C6, C7, C8). The reference line serves as a criterion for determining the degree of bending of the user's body from the image information of the user. The reference line is directly displayed on the screen 110 as shown in FIG. 3 or the calibration figures C0, C2, C3, C4, C5, C6, C7, C8) may be calculated from the absolute magnitude and relative positional relationship. The first and second calibration figures C0 and C2 may be a reference for measuring the distance between the screen 110 and the camera. For example, the calibration figures C0 and C2 may each have a size of 10 cm horizontally and 1 m apart from each other. Then, when the apparent size and the apparent distance of the calibration figures C0 and C2 are measured in the measured image, a ratio between the apparent size and the actual size may be calculated. By applying the calculated ratio to the apparent height obtained from the user's image, the actual height of the user can be obtained.

In addition, the screen 110 may include third to sixth calibration figures C3, C4, C5, and C6 located at corners. When the third to sixth calibration figures C3, C4, C5, and C6 are located at four corners of the screen 110, the reference lines may be more precisely calculated using the size and positional relationship of the calibration figures. Furthermore, the screen 110 may include seventh and eighth calibration figures C7 and C8 positioned at left and right center points. The seventh and eighth calibration figures C7 and C8 may be particularly useful for stitching up and down images. For example, when photographing a user using two cameras, a process of finding the same image to stitch is required. However, using the seventh and eighth calibration figures C7 and C8, a process of finding the same image may be easily performed.

4A to 4C are diagrams conceptually illustrating various methods of measuring a tilt of a posture by the integrated measuring device 100 shown in FIG. 1.

Referring to Figure 4a a process for measuring the scoliosis is described as follows.

Scoliosis is a symptom of severe bending of the spine to the left and right. Normal vertebrae are straight when viewed from the front and cervical and lumbar spines forward when viewed from the side (total curvature), and thoracic and sacral vertebrae to the rear (back curve). Scoliosis refers to the spine squeezing sideways when viewed from the front, but in reality it is not a simple two-dimensional malformation but a three-dimensional malformation rather than a normal curvature when viewed from the side accompanied by rotational deformation of the vertebral body itself.

1) First, a front image of a user is obtained from cameras, and the obtained front image is stitched.

2) Head and other body parts of the user are detected from the stitched front image using an image processing technique. To identify the head of a user, a conventional face recognition technique may be used. When the head is detected, the upper body may be detected through a positional relationship with the head. In addition, the arm and leg portions can be detected by using the positional relationship from the detected upper body.

3) The detected center point H0 and the center points M1, M2, and M3 of other body parts are detected. In this case, a point that bisects the area of the image of each body part may be detected as a center point.

4) Then, side tilt lines L0, L1, and L2 which connect the center points H0 of the head and the center points M1, M2 and M3 of other body parts are drawn.

5) Once the left and right inclination lines are obtained, the degree of scoliosis of the waist is determined by measuring the angle between the left and right inclination lines and the vertical reference line B0. In the embodiment shown in FIG. 4A, the left and right inclination lines L0 connecting H0-M1 form an angle between the vertical reference line B0 and a3, and the left and right inclination lines L1 connecting H0-M2 are vertical reference lines B0. It can be seen that the angle of and a4, and the left and right slope lines L2 connecting H0-M3 form an angle between the vertical reference line B0 and a5.

4B is a diagram illustrating a process of determining a posture of a user using a shoulder of the user.

1) Acquire a front image of the user from the cameras, and stitch the obtained front image.

2) The head and left and right shoulder portions of the user are detected from the stitched front image using an image processing technique.

3) The detected top points S0 and S2 of the left and right shoulders are detected, and left and right slope lines L3 connecting the two top points S0 and S2 are obtained.

4) Determine the degree of side view of the waist by measuring the angle between the left and right inclination line (L3) and the horizontal reference line (A0). In the embodiment shown in FIG. 4B, it can be seen that the left and right inclination lines L3 and the horizontal reference line A0 form an angle a6 with each other.

Figure 4c is a diagram illustrating a process for measuring the degree of back only of the user's waist.

Scoliosis is a condition in which the spine is severely curved forward. When viewed from the side, the normal spinal column (cervical spine) and lumbar spine (waist side) have convex forward shape (full curvature), and the thoracic spine (chest side) and sacral spine (hip) are sloping backward (rear curve). Indicates. However, abnormalities in the vertebrae, the intervertebral discs and the surrounding muscles cause an increase in the posterior curvature of the thorax rather than the normal shape of the vertebrae, or posterior deformity in the cervical and lumbar spines.

1) Acquire the side image of the user from the cameras, and stitch the obtained side image.

2) The user's forearm and arm are detected from the stitched side image using an image processing technique. The ear canal can be found by detecting the head and then detecting the contour between the head and the skin. The centerline of the arm can be determined as the point that bisects the area of the arm. Alternatively, the centerline of the arm in Figure 4c may be replaced by the center point of the upper body.

3) Calculate a forward tilt line L4 between the outermost point E0 and the center point E1 of the arm.

4) The degree of back vertebral degree of the user is determined using the calculated angle between the front and rear tilt line L4 and the vertical reference line B0. In FIG. 4C, it can be seen that the user's spine is bent forward by an angle of a7.

4D is a diagram illustrating a process for measuring a degree of curvature of a user leg.

Referring to FIG. 4D, it can be seen that the first and second vertical reference lines B0 and B1 are set to pass through the center of the right foot and the left foot, respectively.

1) First, take a picture of the user's leg using the camera. Taking an image of the entire leg is suitable to improve the accuracy of the test results.

2) When the leg image is taken, the position of the markers k1 to k6 attached to the user's knee is detected. The markers are attached to the knees of the left and right feet of the user, respectively, before the shooting.

3) Compute each center line from the left and right feet. For convenience of description, in FIG. 4D, the first and second vertical reference lines B0 and B1 are shown passing through the center of the right foot and the left foot, respectively. In order to calculate the center line of the user's leg, the center point of the shoe and the center point of the left and right sides of the pelvis may be obtained, and the calculated center points may be connected to each other. Alternatively, markers (not shown) may be attached to the center points of the thighs and sneakers, and the attached markers may be interconnected.

4) When the center line of the left foot and the right foot are calculated, the degree of curvature of the user's leg is determined using the positional relationship of the respective center line and the marker.

In FIG. 4D, the first and second markers k1, k2 are located on the first and second reference lines. Therefore, in this case it can be seen that the user's legs are not bent. In addition, the third and fourth markers k3 and k4 are located between the first and second reference lines. In this case, it may be determined that the user's leg is bent inward. Furthermore, the fifth and sixth markers k5 and k6 are located outside the first and second reference lines. In this case, it may be determined that the user's leg is bent outward.

As such, referring to FIGS. 4A to 4D, the degree of lateral and anterior curvature of the user's spine as well as the degree of the user's leg can be measured from the front and side images of the user.

FIG. 5 is a diagram illustrating a configuration of a balance meter 170 included in the integrated measuring device 100 shown in FIG. 1.

The balance meter 170 shown in FIG. 5 includes an upper plate 510 and a lower plate 590. Sensors 565 and 575, a processor 550, and an external interface 555 are installed between the upper plate 510 and the lower plate 590.

The upper plate 510 is provided with a left footrest 520, a right footrest 540, and a display 530. The user places the left foot on the left footrest 520 and the right foot on the right footrest 540. The user is then instructed to maintain a predetermined posture for a certain time (eg 2 minutes). While the user maintains a predetermined posture, the weight applied to the left footrest 520 and the right footrest 540 is detected by the sensors 565, 575. Output signals from the sensors 565 and 575 are provided to the processor 550. The left sensors 565 are located on the left sensor part 560, and the right sensors 575 are located on the right sensor part 570. The number and shape of the sensors 565 and 575 located on the left sensor unit 560 and the right sensor unit 570 may be variously changed.

The processor 550 analyzes the frequency and amplitude of the output signal received from the sensors 565 and 575. The voluntary movement of the user is detected based on the frequency and amplitude of the output signal received by the predetermined health information generation algorithm, and the health information is generated using the voluntary movement of the user.

In this specification, spontaneous movement refers to a process in which various parts of the body cooperate to maintain the balance of the user even if the user does not intend it. For example, even though the user appears to maintain a constant posture, the user cannot maintain a constant posture exactly statically, and countless small changes occur and a reaction occurs to counteract these changes. Therefore, by detecting such spontaneous movements, the degree of development and health information of the nervous system of the user can be measured.

In this specification, the health information generation algorithm refers to an algorithm for determining the health information of the user from the amplitude and frequency of the output signal of the sensors 565 and 575. For example, the processor 550 may obtain the maximum and minimum amplitude from the output signal. In addition, the processor 550 can obtain each frequency component of the output signal by Fourier transforming the signal. In addition, if the weight applied to each of the left sensor unit 560 and the right sensor unit 570 is largely unbalanced according to the magnitude of each frequency component, this means that the user has left and right weights even in a normal state. This means that it cannot distribute evenly. Then, the processor 550 may determine that an orthopedic problem, such as when the user is injured on one foot, has occurred in the user's body. Alternatively, if the weight applied to the left and right sensor units 565 and 575 of the user is largely unbalanced, this indicates that the user's center of gravity is in the front and rear direction, and thus the processing unit 550 may be orthopedic in this case. It may be determined that the problem has occurred in the user's body.

The processor 550 may transmit the health information measured using the external interface 555 to the central control unit 150 of FIG. 1, and receive an exercise prescription from the central control unit 150 of FIG. 1. The processor 550 provides the display 530 with health information resulting from applying a health information generation algorithm to the output signal and the output signal received from the sensors 565 and 575.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible. For example, the attitude measuring method illustrated in FIGS. 4A to 4D may be changed in a specific embodiment. That is, the evaluation of the posture of the user's body from the relative positional relationship of the markers attached to the user's body is not only applied to measuring the degree of curvature of the leg of FIG. 4D. Rather, it is a matter of course that the measuring method using a marker can be applied to measure the scoliosis and posterior degree of the spine described in FIGS. 4A to 4C.

Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

According to the present invention, it is possible to measure the user's body composition, weight, height, grip force and the like as well as to accurately measure the posture information of the user.

1 conceptually illustrates one embodiment of an integrated measuring device 100 according to the present invention.

FIG. 2 is a side view of the integrated measuring device 100 shown in FIG. 1.

3 is a diagram illustrating a horizontal and vertical reference line and a figure for calibration displayed on the screen 110 shown in FIG. 1.

4A to 4D are diagrams conceptually illustrating various methods of measuring a tilt of a posture by the integrated measuring apparatus 100 shown in FIG. 1.

FIG. 5 is a diagram illustrating a configuration of a balance meter 170 included in the integrated measuring device 100 shown in FIG. 1.

Claims (10)

In the integrated measurement device for student health fitness system, A screen displaying a calibration figure; One or more cameras arranged in a vertical direction toward the screen to photograph a user located in front of the screen; A balance meter for measuring a user weight and a distribution of body weight of each load cell, including at least two load cells arranged symmetrically with each other; And Determine the horizontal and vertical reference lines from the calibration figure, stitch the images received from the cameras when there are several cameras, analyze the stitched images with reference to the horizontal and vertical reference lines, It includes a central control unit for determining the posture, The central control unit may calculate a center of pressure (COP) of the user from the distribution of weights output from the balance meter, and determine the posture by further referring to the pressure center (COP). Integral measuring device for student health fitness system. The method of claim 1, The apparatus may further include a body composition analyzer configured to measure impedance of the user's body using contacts contacting at least four positions of the user's body, and measure sectional body components of the user using the measured impedance. The central control unit is an integrated measurement device for a student health fitness evaluation system, characterized in that for determining the posture further considering the body composition for each part. The method of claim 1, Further comprising a gyrometer for measuring the left and right arm muscles of the user, The central control unit predicts the left and right muscle mass of the user by using the difference in left and right arm muscle strength of the user, and determines the posture in consideration of the predicted left and right muscle mass. . The method of claim 1, wherein the central control unit, Acquire the front image of the user from the camera, stitch the obtained front image when there are several cameras, and connect the center point of the head of the user and the center point of another body part from the stitched front image. And a side tilt line is calculated, and the degree of scoliosis of the user is determined using the calculated angle between the left and right tilt lines and the vertical reference line. The method of claim 4, wherein the central control unit, Calculating a shoulder line connecting the uppermost points of the shoulders of the user from the stitched front image, and determining the scoliosis of the user by further using an angle between the calculated shoulder line and the horizontal reference line; Integral measurement device for student health fitness evaluation system to assume. The method of claim 4, wherein the central control unit, Acquire the rear image of the user from the camera, stitch the acquired rear image when there are several cameras, and the left and right inclination lines connecting the center point of the user's back neck and the center point of the waist from the stitched rear image. And calculating the degree of scoliosis of the user by further using the calculated angle between the calculated left and right tilt lines and the vertical reference line. The method of claim 1, wherein the central control unit, Acquire the side image of the user from the camera, stitch the obtained side image when there are several cameras, and forward and backward tilt lines connecting the user's foremost outermost point and the center point of the arm from the stitched side image line), and using the calculated angle between the front and rear tilt line and the vertical reference line to determine the degree of back of the spine of the user. The method of claim 1, wherein the central control unit, Acquire one of the front, side, and rear images of the user from the camera, and detect the position of markers attached to a predetermined position of the user's body from the acquired image, the position of the markers and the horizontal and vertical And at least one of the scoliosis and scoliosis of the user from a positional relationship with a baseline. The method of claim 8, wherein the central control unit, Acquire the leg image of the user from the camera, detect the position of the markers attached to a predetermined position of the user leg from the obtained image, the degree of leg flexion of the user from the position relationship between the position of the marker and the vertical reference line An integrated measuring device for student health fitness system, characterized in that further determining leg bending. The method of claim 2, wherein the central control unit, Storing measured biometric information, including at least one of body weight, pressure center (COP), body composition, height, and posture, in a format compatible with the National Education Information System (NEIS) or transmitting over a network An integrated measuring device for student health fitness evaluation system, characterized in that.

Images