Foot pressure measurement apparatus and body shape health measurement system using same
A compact foot pressure measuring device with AI and camera integration addresses the limitations of existing systems by enabling accurate, at-home plantar pressure analysis and 3D body modeling for personalized health management.
Patent Information
- Application Number
- PCT/KR2024/015555
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-05-27
- Filing Date
- 2024-10-15
- Publication Date
- 2025-12-04
AI Technical Summary
Existing plantar pressure measurement systems are limited to specialized medical settings, require manual analysis by trained personnel, and lack accessibility for general consumers, leading to inconsistent accuracy and difficulty in managing musculoskeletal health issues.
A compact, lightweight foot pressure measuring device integrated with AI and camera technology for home use, utilizing sensor fusion and deep learning to analyze plantar pressure and create a 3D body digital twin, providing personalized health management plans.
Enables convenient, accurate, and continuous measurement of plantar pressure at home, allowing users to manage their health through digital services and personalized health management, including 3D body modeling and skeletal health analysis.
Smart Images

Figure KR2024015555_04122025_PF_FP_ABST
Abstract
Description
Foot pressure measuring device and body shape health measurement system using the same
[0001] The present invention provides a foot pressure measuring device and a body shape health measuring system using the same, which can analyze the body shape health status based on foot pressure and body shape and even provide an appropriate management plan.
[0002] Recently, as people spend more time sitting and looking at monitors or smartphones, the number of cases of poor posture has increased, and spinal diseases such as cervical spondylosis and cervical disc herniation have increased.
[0003] Many ordinary consumers neglect their physical health due to the burden of hospital expenses, which can lead to skeletal diseases such as cervical disc herniation. In addition, with the rapidly aging population, musculoskeletal diseases are caused, and diabetes, which is classified as one of the three major diseases in Korea, requires continuous follow-up management in daily life.
[0004] Foot pressure (i.e. plantar pressure) is actively used in rehabilitation medicine and surgical treatment as an objective indicator for examining the progress of surgical and diabetic treatment by analyzing the pressure distribution of the foot. However, plantar pressure analysis is currently only possible in specialized rehabilitation treatment institutions and some hospitals, and the use, access, and awareness of equipment capable of digital analysis by the general public are very low.
[0005] This type of plantar pressure analysis is a method used in surgical and rehabilitation treatment, diabetes management, etc., and there are products such as a plantarscope using a mirror and a treadmill measuring device that analyzes gait patterns. However, these existing products are limited to checking detailed values according to various indicators of plantar pressure distribution or having measurement experts directly compare them with their eyes.
[0006] In other words, specialized plantar pressure measurement equipment used in existing surgical and rehabilitation procedures requires analysts to visually compare data or use dedicated software to view and analyze it. This makes it difficult to improve upon this approach by measuring a variety of indicators. Furthermore, other methods, aside from plantar spectrometry, are bulky and require specially trained personnel to analyze and interpret the measured values. The accuracy of the interpretation of the analysis results can be significantly affected by the capabilities of these personnel.
[0007] The present invention has been devised to solve the above-mentioned problems, and while existing smart healthcare systems or devices have measured bio-signals inside the body or relied on specialized medical equipment installed in medical institutions, the present invention is to commercialize our solution, which has developed the technology of a specialized body shape analyzer in a compact and lightweight form suitable for home use, by fusing it with content that meets market needs, and to enable pose estimation using AI and a camera as a technological element that replaces equipment such as X-ray through plantar pressure analysis data and sensor fusion, the distribution of plantar pressure is measured, and based on this, the similarity according to plantar pressure type is analyzed, and the user's body shape health status can be analyzed through 3D body digital twin data through AI analysis of full-body vision, and various linked services such as appropriate management methods and matching with specialized institutions are provided.
[0008]
[0009] The present invention provides a foot pressure measuring device comprising a case part having an internal storage space, a rigid plate part dividing the upper and lower spaces of the case part and supporting each element, a foot pressure measuring part located on the upper side of the rigid plate part to measure foot pressure, a load cell part located on the lower side of the rigid plate part to measure body weight, a control communication part controlling the operation of each part and performing communication with an external terminal, a screen display part displaying the measurement results and each operation, and a power supply part providing power to each part.
[0010] The rigid plate portion is made of tempered glass, a through hole for transmitting an electric signal is formed in the central region, the foot pressure measuring portion is configured in a square plate shape and includes a sensor board portion in which sensors for measuring foot pressure are distributed, a conductive pad portion in contact with the sensor board, and a silicon pad portion located between the conductive pad portion and the case portion, the sensor board portion includes a body portion divided into a left central portion and a right portion, a first sensing portion in which a plurality of sensors are arrayed on the right side of the body portion, and a second sensing portion in which a plurality of sensors are arrayed on the left side, and the load cell portion includes a load cell for measuring pressure, a load cell bracket for accommodating the load cell, and a load cell bracket for fixing and supporting the load cell and transmitting the pressure.
[0011] The above control communication unit is characterized by including a sensing value receiving module that receives sensing values from a foot pressure measuring unit and a load cell unit, a sensing value display module that displays the received sensing values on a screen display unit, a communication unit that receives user information and a control signal through linkage with an external terminal of a user and transmits the sensing values, a main board unit that converts the sensing values and controls the operation of each unit according to foot pressure, weight, user information, and control signals, and a storage module that stores the sensing values and user information.
[0012] In addition, the present invention provides a body health measurement system including a foot pressure measurement device including a foot pressure measurement unit for measuring foot pressure, a load cell unit for measuring body weight, and a control communication unit for providing measured foot pressure sensing information and body weight sensing information to a linked terminal device, a terminal device for photographing a body shape and linking with the foot pressure measurement device, and an AI analysis server for receiving measurement information and photographing information through communication with the terminal device, analyzing the body health status through deep learning, and proposing a management plan.
[0013] The terminal device is characterized by including a body photographing unit that photographs the user's body, an application unit that controls linkage with a foot pressure measuring device, determines foot pressure based on the provided sensing information, and visualizes it, a terminal communication unit that communicates with the foot pressure measuring device and an AI analysis server, a terminal storage unit that stores the photographed information and the provided sensing information, and a terminal control unit that controls the operation of each unit.
[0014] The body photographing unit includes a camera unit for photographing a body, a body guide unit displayed in an area photographed by the camera unit, a guide variable unit for varying the size of the body guide unit, and a guide storage unit for temporarily storing the photographed image, and the application unit includes an application information input unit for receiving foot pressure sensing information, weight sensing information, and user-related information, a foot pressure processing unit for determining a pain area based on foot pressure distribution and reference information based on foot pressure sensing information, a visualization processing unit for visualizing and displaying the results of the foot pressure processing unit and 3D avatar information provided through the AI analysis server unit, a reference information storage unit for storing foot pressure-related reference information, a weight processing unit for confirming a weight change based on the weight sensing information, and a device management unit for controlling a foot pressure measuring device and confirming the operating status of the device.
[0015] The above AI analysis server is characterized by including a server communication unit that performs communication with a terminal device, an AI posture estimation unit that analyzes the body shape through body shape shooting information based on a deep learning algorithm, a body shape visualization unit that visualizes the analyzed body shape information in three dimensions, an AI matching unit that generates body shape health status information and management plan information related thereto based on the analyzed body shape information and the visualized three-dimensional body model, an AI storage unit that stores deep learning learning information and body shape shooting information, and an AI control unit that controls the operation of each unit.
[0016] The terminal device includes a body photographing unit that photographs a user's body shape, an application unit that visualizes and displays information provided from a foot pressure measuring device and an AI analysis server, a terminal communication unit that communicates with the foot pressure measuring device and the AI analysis server, a terminal storage unit that stores photographed information and provided information, and a terminal control unit that controls the operation of each unit, and the AI analysis server is characterized in that it includes a server input unit that receives foot pressure sensing information, weight sensing information, and body shape photographing information, an AI foot pressure analysis unit that analyzes foot pressure using an AI model and foot pressure sensing information, an AI posture analysis unit that analyzes body shape information using a human intelligence posture estimation model and body shape photographing information, a 3D body model generation unit that creates a 3D body model based on the foot pressure analysis information and the body shape analysis information, an AI matching unit that creates management plan information that matches the foot pressure analysis information and the body shape analysis information, a server storage unit that stores AI learning information and information of each unit, a server communication unit that communicates with the terminal device, and a server control unit that controls the operation of each unit.
[0017]
[0018] In this way, the present invention can measure the distribution of plantar pressure and, based on this, visualize and display similar symptoms and painful areas to the user.
[0019] It is possible to measure foot pressure, record video, and use an app to measure posture, and digital healthcare services in a mobile environment are available, as well as 3D body and skeletal health digital twin technology.
[0020] Based on body image information, a 3D body model can be created through AI analysis, an avatar can be created by reflecting plantar pressure, and the body health status can be analyzed.
[0021] It is possible for users to conveniently measure at home, continuously manage personalized data, systematically manage their body shape and health management data, and build a comprehensive database of this.
[0022] Through foot pressure and body shape analysis, it is possible to provide a variety of personalized information necessary for anticipated diseases and treatments, enabling the provision of practical health management services.
[0023]
[0024] Figure 1 is an exploded perspective view of a foot pressure measuring device according to one embodiment of the present invention.
[0025] Figure 2 is a drawing for explaining a sensor board unit according to one embodiment.
[0026] Figure 3 is a conceptual diagram for explaining a control communication unit according to one embodiment.
[0027] FIG. 4 is a drawing for explaining a body shape health measurement system according to one embodiment of the present invention.
[0028] Fig. 5 is a conceptual diagram for explaining a foot pressure measuring device according to one embodiment.
[0029] Figure 6 is a conceptual diagram for explaining a terminal device according to one embodiment.
[0030] Fig. 7 is a conceptual diagram for explaining a body shape photographing unit according to one embodiment.
[0031] Figure 8 is a conceptual diagram for explaining an application section according to one embodiment.
[0032] Figure 9 is a conceptual diagram for explaining an AI server unit according to one embodiment.
[0033] FIG. 10 is a drawing for explaining a body shape health measurement system according to another embodiment of the present invention.
[0034] Fig. 11 is a conceptual diagram for explaining a foot pressure measuring device according to another embodiment.
[0035] Fig. 12 is a conceptual diagram for explaining a terminal device according to another embodiment.
[0036] Figure 13 is a conceptual diagram for explaining an AI analysis server in another embodiment.
[0037]
[0038] Hereinafter, embodiments of the present invention will be described in more detail with reference to the attached drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms. These embodiments are provided solely to ensure complete disclosure of the present invention and to fully inform those skilled in the art of the scope of the invention. Like reference numerals throughout the drawings denote like elements.
[0039] It should be noted that the division of components in this specification is merely a division based on the main function of each component. In other words, two or more components described below may be combined into a single component, or a single component may be further subdivided into two or more components with more detailed functions. Furthermore, each component described below may, in addition to its own main function, additionally perform some or all of the functions performed by other components, and it goes without saying that some of the main functions of each component may be exclusively performed by other components. Therefore, the existence of each component described in this specification should be interpreted functionally. For this reason, it should be clearly stated that the configuration of the components of the foot pressure measurement device of the present invention and the body shape health measurement system using the same may vary within the scope that the purpose of the present invention can be achieved.
[0040] In this specification, relational terms such as first and second, upper and lower, etc. may only be used to distinguish one entity or action from another without necessarily requiring or implying an actual relationship or order between such entities or actions. The terms "comprises," "comprising," or other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, product, or apparatus that includes a list of components does not include only the components, but may include other components not expressly listed or inherent in such process, method, product, or apparatus. The expression "comprises a ~" of an element excludes, without further limitation, the presence of additional identical elements within the process, method, product, or apparatus that includes the element.
[0041]
[0042] Figure 1 is an exploded perspective view of a foot pressure measuring device according to one embodiment of the present invention.
[0043] Figure 2 is a drawing for explaining a sensor board unit according to one embodiment.
[0044] Figure 3 is a conceptual diagram for explaining a control communication unit according to one embodiment.
[0045] As illustrated in FIGS. 1 to 3, a foot pressure measuring device (100) according to the present embodiment includes a case part (110) having an internal storage space, a rigid plate part (120) that divides the upper and lower spaces of the case part (110) and supports each element, a foot pressure measuring part (130) located on the upper side of the rigid plate part (120) and measures foot pressure, a load cell part (140) located on the lower side of the rigid plate part (120) and measures body weight, a control communication part (150) that controls the operation of each part and communicates with an external terminal, a screen display part (160) that displays the measurement results and each operation, and a power supply part (170) that provides power to each part.
[0046] The case part (110) includes a lower case part (111), an upper cover part (112) covering the lower case part, and a dustproof pad part (113) located on the lower side of the lower case (111).
[0047] It is effective for the lower case (111) to have a square bottom surface and side walls protruding upward from the bottom surface. This allows the lower case (111) to have a space capable of storing various elements. It is possible to have various compartments on the inside of the lower case (111).
[0048] It is effective for the upper cover part (112) to be positioned and fixed on the upper side of the lower case part (111). It is preferable that a display hole for displaying a screen display part (160) be formed on one side of the upper cover part (112). In addition, the upper cover part (112) may display the location area where the user's feet are positioned, or a separate display may be positioned thereon.
[0049] It is effective for the anti-vibration pad portion (113) to include a plurality of anti-vibration pads positioned in concave grooves formed in the four edge areas of the bottom surface of the lower cover portion (111). This allows the case portion (100) to absorb external vibrations when positioned on the floor, thereby preventing external stimuli from being input into the sensing results. In addition, it is also possible to prevent the case portion (110) from moving or shaking.
[0050] It is effective to separate the area where the rigid plate part (120) is located in the internal storage space of the case part (110) to measure foot pressure and weight.
[0051] It is preferable that a load cell unit (140) for measuring body weight is positioned on the lower side of the rigid plate unit (120), and a foot pressure measuring unit (130) for measuring foot pressure is positioned on the upper side. When a user is positioned on the upper side of the foot pressure measuring device (100) through the rigid plate unit (120), the lower side of the foot pressure measuring unit (130) is supported by the rigid plate unit (120), enabling accurate foot pressure measurement, and the user's load is evenly distributed by the rigid plate unit (120) and evenly transmitted to the load cell unit (140) below the rigid plate unit (120), enabling accurate weight measurement.
[0052] In this embodiment, it is effective to use tempered glass as the rigid plate (120). Of course, it is not limited to this, and the area of the multiple (cm) 2 ) It is effective to form a rigid plate with various materials that can maintain its shape without changing even when weighing more than 80 kg. It is desirable to enable effective measurement even when used by a user weighing more than 150 kg.
[0053] It is effective that the rigid plate portion (120) has a through hole formed for transmitting electrical signals from the upper and lower portions. In this example, it is preferable that a circular through hole with a diameter of 1 to 10 cm is formed in the central region of the rigid plate portion (120). This is because the user's feet are not positioned in the central region of the foot pressure measuring device (100), but rather in the edge regions. Therefore, since pressure is applied to the edge regions rather than the central region, it is effective to position the through hole in the center, particularly in the central region.
[0054] The foot pressure measurement unit (130) is configured in the shape of a square plate and includes a sensor board unit (131) in which sensors for foot pressure measurement are distributed, a conductive pad unit (132) that contacts the sensor board, and a silicon pad unit (133) located between the conductive pad unit (132) and the case unit (110).
[0055] It is effective that the sensor board part (131) includes a body part (131a) divided into a left part, a central part, and a right part, a first sensing part (131b) in which a plurality of sensors are arrayed on the right part of the body part (131a), and a second sensing part (131c) in which a plurality of sensors are arrayed on the left part.
[0056] It is effective that the body part (131a) is manufactured in the shape of a square plate, and a slit corresponding to the screen display part is formed on one side of the plate. It is effective that the first sensing part (131b) measures the foot pressure of the user's right foot, and the second sensing part (131b) measures the foot pressure of the user's left foot. It is effective that the first and second sensing parts (131a, 131b) are evenly arranged on the sensor board part.
[0057] It is effective that the conductive pad portion (132) includes a first conductive pad corresponding to the first sensing portion (131a) and a second conductive pad corresponding to the second sensing portion (131b). In addition, the silicon pad portion (133) includes a first silicon pad attached to the upper side of the first conductive pad and a second silicon pad attached to the upper side of the second conductive pad.
[0058] In this way, it is effective that the silicon pad and the conductive pad are formed as one piece so that pressure is uniformly transmitted to the sensor board. The silicon pad having elasticity can uniformly transmit pressure, thereby increasing the sensing efficiency of the sensor board (131).
[0059] It is effective that the load cell unit (140) includes a load cell (141) for measuring pressure, a load cell bracket (142) for storing the load cell (141), and a load cell bracket (143) for fixing and supporting the load cell (140) and transmitting the pressure. In the present embodiment, four load cell units (140) are positioned between the rigid plate unit (120) and the lower case unit (111), and it is effective that they are positioned at the four edge areas of the case unit (110). This enables measurement of body weight according to the pressure applied to the load cell (141). In addition, it is effective that each of the load cell units (140) is connected to an external control communication unit (150) through a separate wire.
[0060] The control communication unit (150) includes a sensing value receiving module (151) that receives sensing values from the foot pressure measuring unit (130) and the load cell unit (140), a sensing value display module (152) that displays the received sensing values on a screen display, a communication unit (153) that receives user information and a control signal through linkage with an external terminal of the user and transmits the sensing values, a main board unit (154) that converts the sensing values and controls the operation of each unit according to the foot pressure, weight, user information, and control signals, and where a plurality of modules are located, and a storage module (155) that stores the sensing values and user information.
[0061] It is effective for the sensing value receiving module (151) to receive the foot pressure sensing information of the foot pressure measuring unit (130) and the weight sensing information of the load cell unit (140). Through this, the foot pressure distribution can be measured and the user's weight can be measured.
[0062] The sensing value display module (152) converts the received sensing information through the main board (154) and provides the converted values in the form of foot pressure distribution and weight information to the display unit so that they are displayed.
[0063] The communication unit (153) effectively communicates with the user's external terminal, i.e., a smartphone, via wireless communication. Furthermore, it is preferable to perform linkage through a separate linkage operation when conducting communication. Thus, it is effective for the communication unit (153) to perform Wi-Fi or Bluetooth communication. It is effective to provide sensing values, i.e., sensing information, to the outside, receive user information through an external user terminal, or receive control information through the communication unit (153).
[0064] It is effective that the main board part (154) is located on the lower side of the rigid plate part (120) and is electrically connected to the foot pressure measuring part (130) through the through hole of the rigid plate part (120) and electrically connected to the load cell part (140). It is preferable that the main board part (154) includes an operation module for the operation of each part.
[0065] It is effective for the screen display unit (160) to have its display area exposed on the case unit (110) to display the current operating status of the foot pressure measurement device and the measured sensing information. In the present embodiment, it is preferable to use an OELD as the screen display unit (160). Of course, the present invention is not limited thereto, and various display devices can be used. In addition, the screen display unit (160) can be electrically connected to the main board unit (154) through a through-hole in the rigid plate unit (120).
[0066] It is effective for the power supply unit (170) to use a battery and transmit the power of the battery to each unit through the control communication unit (150).
[0067] Below, a body shape health measurement system using the above-described foot pressure measurement device is described.
[0068]
[0069] FIG. 4 is a drawing for explaining a body shape health measurement system according to one embodiment of the present invention.
[0070] Fig. 5 is a conceptual diagram for explaining a foot pressure measuring device according to one embodiment.
[0071] Figure 6 is a conceptual diagram for explaining a terminal device according to one embodiment.
[0072] Fig. 7 is a conceptual diagram for explaining a body shape photographing unit according to one embodiment.
[0073] Figure 8 is a conceptual diagram for explaining an application section according to one embodiment.
[0074] Figure 9 is a conceptual diagram for explaining an AI server unit according to one embodiment.
[0075] As illustrated in FIGS. 4 to 9, the body shape health measurement system according to the present embodiment includes a foot pressure measurement device (200) that measures foot pressure, a terminal device (300) that photographs the body shape and is linked to the foot pressure measurement device (200), and an AI analysis server (400) that receives measurement information and photographing information through communication with the terminal device (300), analyzes the body shape health status through deep learning, and proposes a management plan.
[0076] The foot pressure measuring device (200) includes a foot pressure measuring unit (210) that measures foot pressure, a load cell unit (220) that measures body weight, and a control communication unit (230) that provides measured foot pressure sensing information and body weight sensing information to a linked terminal device (300).
[0077] The foot pressure measurement unit (210) effectively measures plantar pressure using a plurality of pressure sensors arranged in a matrix. The foot pressure measurement unit (210) effectively detects pressure applied and transmits the change. At this time, it is effective to convert this change into an electrical signal and transmit it. In this example, it is effective to use a Force Sensitive Resistor (FSR) sensor. This sensor changes electrical resistance according to physical force, weight, etc., and effectively measures the magnitude of pressure using this resistance change. Of course, the present invention is not limited to this, and various pressure sensors can be used.
[0078] The foot pressure measuring unit (210) operates via the control communication unit (230) to measure the foot pressure of the user who has climbed on top of it, and provides this as foot pressure sensing information to the linked terminal device (300) via the control communication unit (230). At this time, the matrix area of the area where the user has climbed on the matrix-arranged foot pressure measuring unit (210) receives pressure, so the output voltage changes according to the pressure. This makes it possible to confirm the pressure distribution value in a two-dimensional plane shape, and it is effective for this value to be provided as foot pressure sensing information.
[0079] The load cell unit (220) is equipped with a plurality of load cells, and measures the pressure applied to the upper portion thereof through the load cells, and provides the measured pressure to the control communication unit (230). It is effective for the control communication unit (230) to add up the values measured from each load cell to generate weight sensing information and provide the same to the terminal device (300). Of course, the foot pressure measuring device (100) may further include a separate screen display unit, and display the foot pressure and weight on the screen display unit.
[0080] It is effective for the control communication unit (230) to receive information from the terminal device (300) by interworking with the terminal device (300) or to provide foot pressure sensing information and weight sensing information to the terminal device (300). The control communication unit (230) can control the operation of each part of the foot pressure measuring device (100), receive information from each part, and store the same.
[0081] The terminal device (300) includes a body photographing unit (310) that photographs the user's body shape, an application unit (320) that controls the linkage with the foot pressure measuring device (100) and determines the plantar pressure based on the provided sensing information and visualizes it, a terminal communication unit (330) that communicates with the foot pressure measuring device (100) and the AI analysis server (400), a terminal storage unit (340) that stores the photographed information and the provided sensing information, and a terminal control unit (350) that controls the operation of each unit.
[0082] The body shape photographing unit (310) includes a camera unit (311) for photographing the body shape, a body guide unit (312) displayed in an area photographed by the camera unit (311), a guide variable unit (313) for varying the size of the body guide unit (312), and a guide storage unit (314) for temporarily storing the photographed image.
[0083] The body-photographing unit (310) effectively captures the user's entire body through the camera unit (311). The camera unit (311) effectively uses a camera mounted on the terminal device (300). Of course, this is not limited to this, and it is also possible to additionally mount a separate AI camera to capture the image.
[0084] The body guide unit (312) indicates a straight line displayed on the screen captured by the camera. It is advantageous for the body guide unit (312) to include a head line, shoulder line, hip joint line, foot line, and hand line. This allows the user to identify the area of the image where the user's head, shoulder, hip joint, foot, and hand end are located. It is advantageous for the body guide unit (312) to be displayed overlapping the area captured by the camera.
[0085] The guide variable part (313) can adjust the position of the body guide part (312) to move within the screen captured by the camera. This allows the user to adjust the positions of the head, shoulders, hip joints, feet, and hands displayed on the camera screen. This allows for more accurate body shape capture. Here, the body guide part (312) and the guide variable part (313) can be operated in conjunction with the application part (320). That is, it is preferable that the body guide part (312) and the guide variable part (313) be controlled by the application part (320).
[0086] It is effective that the guide storage unit (314) temporarily stores image information captured by the body guide unit (312) and the camera, and provides it to the AI analysis server unit (400) through the application unit (320) and the terminal communication unit (330).
[0087] The application unit (320) includes an application information input unit (321) that receives foot pressure sensing information, weight sensing information, and user-related information, a foot pressure processing unit (322) that determines a pain area based on foot pressure distribution and reference information based on the foot pressure sensing information, a visualization processing unit (323) that visualizes and displays the results of the foot pressure processing unit (322) and 3D avatar information provided through the AI analysis server unit (400), a reference information storage unit (324) that stores foot pressure-related reference information, a weight processing unit (325) that checks a weight change based on the weight sensing information, and a device management unit (326) that controls a foot pressure measuring device (200) and checks the operating status of the device.
[0088] The application information input unit (321) effectively receives the provided foot pressure sensing information and weight sensing information, processes them, and stores them. At this time, time information is added to the foot pressure sensing information and weight sensing information and stored. Furthermore, it is effective to add user identification information to the user-related information and store it. The application information input unit (321) effectively stores the relevant information in the terminal storage unit (340). This enables continuous information management. Furthermore, it enables the user to extract information at a desired point in time. It is effective to receive the user-related information from the user through a separate input unit of the terminal device (300). Furthermore, the application information input unit (321) effectively assigns user identification information to the input user information for user differentiation. This allows multiple users, not just one, to manage their body health through a single application program and a single foot pressure measurement device (100). It is effective for the user-related information to include information such as name, gender, and age.
[0089] The foot pressure processing unit (322) checks the distribution of plantar pressure on the right and left sides based on the foot pressure sensing information provided from the foot pressure measuring device (200). The distribution value of the plantar pressure is set according to the pressure level. In other words, the foot pressure sensing information is provided in matrix form through the foot pressure measuring device (200), and based on this, it becomes possible to check the plantar pressure of both feet.
[0090] The foot pressure processing unit (322) compares the measured foot pressure distribution with reference information, i.e., the stored foot pressure distribution value. That is, the similarity between the stored reference foot pressure distribution and the measured foot pressure distribution is evaluated, and the reference foot pressure distribution with the highest similarity is designated as the selected foot pressure distribution.
[0091] The foot pressure processing unit (322) divides the measured plantar pressure distribution into four areas for quick analysis. That is, the measurement areas of both feet are divided into two areas, upper and lower, respectively. First, the similarity is evaluated using the highest pressure value, lowest pressure value, and average pressure value of the divided areas. At this time, the similarity is calculated by calculating the stored plantar pressure distribution with an error range of approximately ±20% based on the above three values. Afterwards, it is effective to evaluate the similarity between the values of individual positions and the first calculated stored value in the second stage and determine the value with the highest similarity as the selected plantar pressure distribution. Of course, the present invention is not limited thereto, and it is also possible to first calculate the standard deviation of the measured plantar pressure distribution, compare this standard deviation with the stored plantar pressure distribution, perform the first division as in the above criterion, and then calculate through the second individual division.
[0092] The selected plantar pressure distribution, that is, the measured plantar pressure distribution and the stored plantar pressure distribution with the highest similarity, have pain prediction site values that are matched one-to-one. That is, the reference information storage unit (324) stores the expected pain prediction site values for each stored plantar pressure distribution. Accordingly, the plantar pressure processing unit (322) can confirm the pain prediction site value according to the measured plantar pressure distribution. That is, the plantar pressure processing unit (322) can confirm the pain prediction site value based on the plantar pressure similarity, and can also confirm the degree of pain by comparing the maximum pressure value with the similarity.
[0093] The visualization processing unit (323) effectively visualizes the foot pressure sensing information input through the application information input unit (321) by assigning colors according to the foot pressure level. In addition, it is possible to visualize the weight in kg based on the weight sensing information and display this by assigning colors.
[0094] The visualization processing unit (323) can use the pain prediction region value calculated by the foot pressure processing unit (322) to visualize which region of the body is expected to experience pain by reflecting it on the body shape. That is, the visualization can be done by changing the color or lighting up the region where pain is expected. Of course, the present invention is not limited to this, and various display methods can be used.
[0095] It is effective for the reference information storage unit (324) to store multiple plantar pressure distribution values and to store pain prediction site values according to each plantar pressure distribution value. It is also possible to match and store one or more pain prediction site values within a single plantar pressure distribution value. It is preferable for the reference information storage unit (34) to receive such plantar pressure distribution values and pain prediction site values through the AI analysis server (400), update them, and store them.
[0096] It is effective for the weight processing unit (325) to store the weight in kg and display it through the visualization unit (323), and to store the weight value by each user's unique number to check the weight change.
[0097] The device management unit (326) communicates with the control communication unit (230) of the foot pressure measuring device (200) through the terminal communication unit (330), thereby controlling the operation of the foot pressure measuring device (200) and effectively checking the status of the foot pressure measuring device (200) such as the occurrence of an error or a device abnormality. The device management unit (326) can also determine whether the foot pressure measuring device (200) is broken by detecting whether an abnormality occurs in the measured foot pressure sensing information and weight sensing information.
[0098] It is effective for the terminal communication unit (330) to communicate with the terminal device (200) and the AI analysis server (400) via wireless communication. The terminal communication unit (330) can provide a control signal and receive foot pressure sensing information and weight sensing information through communication with the foot pressure measuring device (200). In addition, it is effective to receive body shape health status information and management plan information through communication with the AI analysis server (400), and to receive information received and analyzed by the application unit (320).
[0099] It is effective for the terminal storage unit (340) to store information provided through the terminal communication unit (330), body image information captured by the body image capture unit (310), and information for the operation and operation of the application unit (320). In addition, information used in each unit can be stored together to enable integrated management of information.
[0100] It is preferable that the terminal control unit (350) control and manage the operations of the body photographing unit (310), application unit (320), terminal communication unit (330), and terminal storage unit (340).
[0101] The AI analysis server (400) includes a server communication unit (410) that performs communication with a terminal device (200), an AI posture estimation unit (420) that analyzes a body shape through body shape photographing information based on a deep learning algorithm, a body shape visualization unit (430) that visualizes the analyzed body shape information in three dimensions, an AI matching unit (440) that generates body shape health status information and management plan information linked thereto based on the analyzed body shape information and the visualized three-dimensional body model, an AI storage unit (450) that stores deep learning learning information and body shape photographing information, and an AI control unit (460) that controls the operation of each unit.
[0102] The server communication unit (410) effectively receives and provides information through wireless communication with the terminal device (200). Foot pressure sensing information, weight sensing information, and body shape photographing information can be received through the terminal device (200), and visualized body shape information can be provided to the terminal device (200).
[0103] The AI posture estimation unit (420) detects and estimates joint positions from body image information, i.e., body image information, based on a deep learning algorithm. It is effective for the AI self-estimation unit (420) to use a deep learning architecture such as a convolutional neural network (CNN) or a recurrent neural network (RNN). At this time, joint position detection can be performed by applying an object detection method to detect positions through a single network, or by generating candidate regions through an object detection network and then predicting and detecting joint positions corresponding to the candidate regions.
[0104] The AI posture estimation unit (420) effectively predicts the positions of 16 to 32 joints and extracts their three-dimensional coordinates. Joint positions can include the head, neck, left and right shoulders, left and right elbows, left and right wrists, left and right fingers, left and right fingertips, hip joints, spine, left and right knees, left and right ankles, and left and right toes.
[0105] The AI posture estimation unit (420) effectively utilizes large amounts of data to learn and improve accuracy through this learning. Furthermore, the currently input body shape image data can also be stored as learning data after posture estimation, allowing for further learning.
[0106] It is effective for the body shape visualization unit (430) to create a 3D body model based on the 3D coordinates of each joint estimated through the AI posture estimation unit (420).
[0107] The body shape visualization unit (430) effectively generates connection information between detected joint locations, i.e., points, and creates a 3D body model based on this connection information. That is, the shoulder joint and elbow joint are connected vertically, and the elbow joint and wrist joint can be connected according to length and angle. 3D body modeling effectively constructs a skeleton with connected joints based on the joint locations and connection information, and then applies a skin model and Dexter based on this to create a 3D model.
[0108] The AI matching unit (440) determines whether a change has occurred in the body shape of a body photographed through a terminal device compared to a reference body shape (i.e., a normal body shape) based on the body shape information obtained through the AI posture estimation unit (420) and the 3D body model obtained through the body shape visualization unit (430), and generates this as body shape health status information. The AI matching unit (440) identifies the area where a change has occurred based on the body shape health status information, and generates management plan information for matching and linking experts or institutions for correction or management of the identified body shape.
[0109] Through the AI matching unit (440), it becomes possible to identify abnormalities such as distortion or bending of the body shape, and to provide methods for improving or managing the identified abnormalities. In addition, the AI matching unit (440) stores body shape health status information for each user over time, and based on this, it is possible to identify changes in body shape, identify factors causing changes in body shape, and effectively match experts or institutions based on this.
[0110] The AI storage unit (450) stores and manages the provided information and the information of the AI posture estimation unit (420) and the body shape visualization unit (430), and it is effective for the information for learning of the AI posture estimation unit (420) to be stored in a database. The AI control unit (460) controls the operation of each unit and effectively determines whether there is an abnormality in the operation of each unit.
[0111] The present invention is not limited to the above description and various examples are possible. Below, a body shape health measurement system according to another embodiment of the present invention is described. Any description that overlaps with the above description will be omitted. Furthermore, the techniques described below can be applied to the above-described embodiments.
[0112]
[0113] FIG. 10 is a drawing for explaining a body shape health measurement system according to another embodiment of the present invention.
[0114] Fig. 11 is a conceptual diagram for explaining a foot pressure measuring device according to another embodiment.
[0115] Fig. 12 is a conceptual diagram for explaining a terminal device according to another embodiment.
[0116] Figure 13 is a conceptual diagram for explaining an AI analysis server in another embodiment.
[0117] As illustrated in FIGS. 10 to 13, the body shape health measurement system according to the present embodiment includes a foot pressure measurement device (500) that measures foot pressure, a terminal device (600) that photographs the body shape and is linked to the foot pressure measurement device (500), and an AI analysis server (700) that receives measurement information and photographing information through communication with individual terminal devices (600), analyzes the body shape health status through deep learning, proposes a management plan, and individually secures information of each individual terminal device (00).
[0118] In this embodiment, a plurality of foot pressure measuring devices (500) and a plurality of terminal devices (600) are illustrated, but their operation will be described based on one foot pressure measuring device (500) and one terminal device (600).
[0119] The above foot pressure measuring device (500) includes a foot pressure measuring unit (510) that measures foot pressure, a load cell unit (520) that measures body weight, and a control communication unit (530) that provides measured foot pressure sensing information and body weight sensing information to a linked terminal device.
[0120] Foot pressure sensing information is generated through the foot pressure measuring unit (510), weight sensing information is generated through the load cell unit (520), and this is provided to individual terminal devices through the control communication unit (530).
[0121] The terminal device (600) includes a body photographing unit (610) that photographs the user's body shape, an application unit (620) that visualizes and displays information provided from a foot pressure measuring device (500) and an AI analysis server (700), a terminal communication unit (630) that communicates with the foot pressure measuring device (500) and the AI analysis server (700), a terminal storage unit (640) that stores the photographed information and the provided information, and a terminal control unit (650) that controls the operation of each unit.
[0122] It is effective for the body shape photographing unit (610) to photograph the user's body shape and save it as body shape photographing information.
[0123] It is effective for the application unit (620) to collect the foot pressure sensing information measured through the foot pressure measuring device (500), the weight sensing information, and the body shape photographing information, and to provide them to the AI analysis server (700) through the terminal communication unit (630). It is effective for the application unit (620) to assign a user-specific number and measurement date and time information to the foot pressure sensing information, the weight sensing information, and the body shape photographing information, and to provide the assigned information to the AI analysis server (700).
[0124] The application unit (620) can display the body shape health status information and management plan information analyzed through the AI analysis server (700) on the screen of the terminal device (600) so that the user can intuitively check the analysis results. Here, it is effective that the body shape health status information includes foot pressure distribution information, heat map information, pain prediction information, body shape information, and 3D body model information (3D digital twin information), body shape deformation and distortion information, reference body shape information, 3D avatar creation information, body skeleton type information, joint coordinate information, etc.
[0125] Additionally, the app (620) can further enhance security through authentication by providing a separate authentication module for user authentication. Furthermore, the app (620) effectively utilizes blockchain technology to ensure information security.
[0126] It is effective for the terminal communication unit (630) to transmit a control signal through communication with the foot pressure measuring device (500) and to receive foot pressure sensing information and weight sensing information. It is effective for the terminal communication unit (630) to receive body shape health status information and management plan information through communication with the AI analysis server (700) and to provide foot pressure sensing information, weight information, and body shape photographing information.
[0127] It is preferable that the terminal storage unit (640) be utilized in each unit and store information transmitted or provided through the communication unit. It is effective for the terminal control unit (650) to control the operation of each unit.
[0128] The AI analysis server (700) includes a server input unit (710) that receives foot pressure sensing information, weight sensing information, and body shape photographing information, an AI foot pressure analysis unit (720) that analyzes foot pressure using an AI model and foot pressure sensing information, an AI posture analysis unit (730) that analyzes body shape information using a human intelligence posture estimation model and body shape photographing information, a 3D body model generation unit (740) that creates a 3D body model based on the foot pressure analysis information and the body shape analysis information, an AI matching unit (750) that creates management plan information that matches the foot pressure analysis information and the body shape analysis information, a server storage unit (760) that stores AI learning information and information on each unit, a server communication unit (770) that communicates with a terminal device, and a server control unit (780) that controls the operation of each unit.
[0129] The server input unit (710) receives foot pressure sensing information, weight sensing information, and body shape photographing information provided from the terminal device through the server communication unit (770).
[0130] The server input unit (710) effectively extracts a user ID and measurement date and time information from the information provided by the terminal device (600), and based on this, distinguishes and stores each foot pressure sensing information, weight sensing information, and body shape photographing information in the server storage unit (760). The server input unit (710) effectively utilizes blockchain technology to ensure data security and integrity. In this embodiment, it is preferable to process such personal health-related information by applying a smart contract structure based on the Ethereum platform.
[0131] The AI foot pressure analysis unit (720) constructs a heat map using foot pressure sensing information. This enables the identification of foot pressure distribution based on the provided foot pressure sensing information. The constructed heat map is then provided to the terminal device via the server communication unit (770), and the terminal device can then image it and display it on the terminal device's screen.
[0132] The AI foot pressure analysis unit (720) effectively classifies six classes by training a CNN neural network model using TensorFlow and Keras. To achieve this, it is effective to pre-specify a large amount of foot pressure sensing information and corresponding class classification criteria, and then perform training to classify multiple heat maps into six classes based on these criteria.
[0133] Even when a heat map newly constructed from foot pressure sensing information is provided, the AI foot pressure analysis unit (720) effectively determines which class the heat map belongs to through machine learning and provides the result to the terminal device. In this case, the class may be information on a body part suspected of having pain or disease according to the heat map. The AI foot pressure analysis unit (720) can provide the analyzed result along with the heat map to the terminal device, thereby providing information on which body part is expected to have pain or disease.
[0134] The AI posture analysis unit (730) effectively detects and estimates joint positions from body image information, i.e., body shape photographing information, based on deep learning. The AI posture analysis unit (730) can estimate joint positions using a humanoid animation framework.
[0135] At this time, joint position detection can be performed by detecting the position through a single network by applying an object detection method, or by generating a candidate area through an object detection network and then predicting the joint position corresponding to the candidate area.
[0136] The AI posture analysis unit (730) effectively predicts the positions of 16 to 32 joints using a deep learning architecture such as a convolutional neural network (CNN) or a recurrent neural network (RNN) and extracts 3D coordinates thereof. Joint positions include the head, neck, left and right shoulders, left and right elbows, left and right wrists, left and right fingers, left and right fingertips, hip joints, spine, left and right knees, left and right ankles, and left and right toes.
[0137] The AI posture analysis unit (730) effectively utilizes large amounts of data to learn, improving accuracy through this learning process. Furthermore, the currently input body shape image data can also be stored as training data after posture estimation, allowing for further learning.
[0138] The 3D body model generation unit (740) effectively generates a 3D body model, a digital tweet 3D avatar, using a heat map based on plantar pressure analysis information and joint location information based on body shape photographing information.
[0139] It is effective to modify the package based on AlphaPose, an open system capable of multi-person pose estimation and tracking in a real-time environment, and to reflect this in a form suitable for the AI model. In this embodiment, a 3D digital twin avatar is created using Blender 3D as a package that can be controlled with Python code.
[0140] In this embodiment, it may be possible to classify body skeletal types based on foot pressure sensing information and user information. This classification can be effectively achieved using an AI learning algorithm that performs machine learning based on the user's weight, height, and plantar pressure distribution. Furthermore, it is possible to predict body joint coordinates based on the classified body skeletal types, and create an avatar based on these predicted body joint coordinates. Furthermore, as previously mentioned, it is possible to predict body joint coordinates based on body shape photographing information, and create an avatar based on this body joint coordinate data.
[0141] The present invention is not limited thereto, and other modifications are possible. That is, when creating an avatar, it is effective to predict body joint coordinates based on body shape photographing information, and then determine the final body joint coordinates by applying weights according to plantar pressure distribution and body weight. When a user photographs his or her body using a camera of a terminal device, he or she tends to intentionally straighten his or her body. Accordingly, the distribution of foot pressure measured by the foot pressure measuring device (500) appears differently depending on the body load, and this can indicate that the load is concentrated or not applied to some areas. That is, if the load on the right heel area is higher than other areas, it is effective to recognize that the user's body is partially concentrated in the right heel area, and to reflect this when calculating body joint coordinates. In addition, for the accuracy of the overall value, it is effective to confirm in which area the foot pressure distribution is concentrated based on the user's body weight, that is, body weight, and to reflect this.
[0142] The AI matching unit (750) generates body shape health status information including plantar pressure analysis information, heat map information, pain prediction information, body shape analysis information, 3D body model information, i.e., 3D digital twin avatar information, body shape deformation or distortion information, reference body shape information, body skeletal flexibility information, and joint coordinate information. In addition, it is effective to compare the generated body shape health status information with previously stored management plan information, extract at least one management plan information matching the generated body shape health status information, and provide this together with the body shape health status information to the terminal device.
[0143] While the technical concepts of the present invention described above have been specifically described in preferred embodiments, it should be noted that the above-described embodiments are for illustrative purposes only and are not intended to be limiting. Furthermore, those skilled in the art will readily appreciate that various embodiments are possible within the scope of the technical concepts of the present invention.
[0144]
[0145] ** Description of drawing symbols **
[0146] 100, 200, 500: Foot pressure measuring device 110: Case
[0147] 120: Rigid plate section 130: Foot pressure measurement section
[0148] 140: Load cell section 150: Control communication section
[0149] 160: Screen display 170: Power supply
[0150] 210, 510: Foot pressure measurement unit 220, 520: Load cell unit
[0151] 230, 530: Control communication unit 300, 600: Terminal device
[0152] 310, 610: Body photography section 320, 620: App section
[0153] 321: Application information input section 322: Foot pressure processing section
[0154] 323: Visualization processing unit 324: Reference information storage unit
[0155] 325: Weight Processing Unit 326: Device Management Unit
[0156] 330: Terminal communication unit 340, 640: Terminal storage unit
[0157] 350, 650: Terminal control unit 400, 700: AI analysis server
[0158] 410, 770: Server communication unit 420: AI posture estimation unit
[0159] 430: Body Visualization Section 440, 750: AI Matching Section
[0160] 450: AI storage unit 460: AI control unit
[0161] 720: AI Foot Pressure Analysis Unit 730: AI Posture Analysis Unit
[0162] 740: 3D body model generation unit
Claims
1. Case part with internal storage space; A rigid plate that divides the upper and lower spaces of the case and supports each element; A foot pressure measuring unit located on the upper side of the rigid plate to measure foot pressure; A load cell portion located on the lower side of the above rigid plate portion and measuring weight; A control communication unit that controls the operation of each part and communicates with an external terminal; A screen display unit that displays the measurement results and each operation; and A foot pressure measuring device including a power supply unit that provides power to each part.
2. In paragraph 1, The above rigid plate portion uses tempered glass, and a through hole for transmitting an electric signal is formed in the central area. The above-mentioned foot pressure measuring unit is configured in the form of a square plate and includes a sensor board portion in which sensors for measuring foot pressure are distributed, a conductive pad portion in contact with the sensor board, and a silicon pad portion located between the conductive pad portion and the case portion, and the sensor board portion includes a body portion divided into a left, central, and right portions, a first sensing portion in which a plurality of sensors are arrayed on the right portion of the body portion, and a second sensing portion in which a plurality of sensors are arrayed on the left portion. A foot pressure measuring device characterized in that the load cell section includes a load cell for measuring pressure, a load cell bracket for storing the load cell, and a load cell bracket for fixing and supporting the load cell and transmitting the pressure.
3. In paragraph 1, The above control communication unit includes a sensing value receiving module that receives sensing values from a foot pressure measuring unit and a load cell unit, a sensing value display module that displays the received sensing values on a screen display unit, a communication unit that receives user information and a control signal through linkage with an external terminal of a user and transmits the sensing values, a main board unit that converts the sensing values and controls the operation of each unit according to foot pressure, weight, user information, and control signals, and a storage module that stores the sensing values and user information. A foot pressure measuring device characterized in that it includes:
4. A foot pressure measuring device including a foot pressure measuring unit for measuring foot pressure, a load cell unit for measuring body weight, and a control communication unit for providing the measured foot pressure sensing information and body weight sensing information to a linked terminal device; A terminal device that photographs the body shape and links with a foot pressure measuring device; and A body shape health measurement system including an AI analysis server that receives measurement information and photographing information through communication with the above terminal device, analyzes the body shape health status through deep learning, and suggests a management plan.
5. In paragraph 4, A body health measurement system characterized in that the terminal device includes a body photographing unit that photographs the user's body shape, an application unit that controls linkage with a foot pressure measuring device, determines plantar pressure based on the provided sensing information, and visualizes it, a terminal communication unit that communicates with the foot pressure measuring device and an AI analysis server, a terminal storage unit that stores the photographed information and the provided sensing information, and a terminal control unit that controls the operation of each unit.
6. In paragraph 5, The body shape photographing unit includes a camera unit for photographing the body shape, a body guide unit displayed in an area photographed by the camera unit, a guide variable unit for changing the size of the body guide unit, and a guide storage unit for temporarily storing the photographed image. The above application unit includes an application information input unit that receives foot pressure sensing information, weight sensing information, and user-related information, a foot pressure processing unit that determines a pain area based on foot pressure distribution and reference information based on foot pressure sensing information, a visualization processing unit that visualizes and displays the results of the foot pressure processing unit and 3D avatar information provided through the AI analysis server unit, a reference information storage unit that stores foot pressure-related reference information, a weight processing unit that checks weight changes based on weight sensing information, and a device management unit that controls a foot pressure measurement device and checks the operating status of the device.
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