KR102223908B1 - Advertising system and method using customer information based on the point reward service - Google Patents

Abstract

The present invention relates to a non-contact real-time health and learning management system enabling a remote management of a user′s health condition without contact with an expert. The present invention comprises a health management device that measures the user′s biometric information during exercise in real time or generates image information by capturing an image of the user during exercise so as to remotely analyze the user′s health condition.

Description

Non-face-to-face real-time health and learning management system {ADVERTISING SYSTEM AND METHOD USING CUSTOMER INFORMATION BASED ON THE POINT REWARD SERVICE}

The present invention relates to a non-face-to-face real-time health and learning management system, and more particularly, to a non-face-to-face real-time health and learning management system implemented so that users can remotely manage a user's health status without face-to-face contact with experts. .

The advent of the "untact" era and the post-corona paradigm are spreading the non-face-to-face service industry to the entire industry including distribution, education, medical care, and finance. In addition, advanced IT technologies such as artificial intelligence (AI), Internet of Things (IoT), and virtual augmented reality (VR, AR) have become a platform for rapid growth in the development of non-face-to-face services.

In recent years, non-face-to-face services are experiencing rapid growth due to the demand from the Corona 19 issue and the needs of companies to reduce labor costs. Various efforts are being made to reflect the trend of the times, from companies developing new non-face-to-face services to cases of converting existing services to non-face-to-face services.

In particular, the healthcare industry is based on IT, BT, NT technology and ICT convergence technology, and goes beyond treatment-oriented traditional medical institution services to 4P (Personalized: Personalization, Predictive: Predictive, Preventive: Prevention, Participatory: Participation). ) It is evolving into leading healthcare, and the use of IT smart devices, services, and apps is expected to expand to personalized life cycle smart healthcare services such as disease, health, exercise, and diet management of not only patients but also the general public.

As the offline non-face-to-face untact service becomes more active and the market grows, the more sophisticated and personalized untact service will develop, reflecting the needs of a more friendly and communicating'Ontact'. The evolution to the augmented reality contact (face-to-face) area is expected to be an untact trend.

The prolonged prolongation of un-tact due to coronavirus is expected to further increase non-face-to-face education such as dance and physical education, as well as "homt" for health. Even now, exercise videos are followed a lot, but these videos cannot verify the qualifications and professionalism of the instructors featured in the videos, and in particular, because they cannot evaluate their exercise postures, injuries caused by incorrect exercise postures cannot be prevented. to be. Even in distance education, guidance is given only on the screen, so it is inevitable that the teacher's accurate movement demonstration or observation, which is the advantage of face-to-face education, is impossible.

It is to reduce the risk of motor injuries from the following one-sided example of the widespread homet video, and it is desperately necessary to develop a system to match the exercise methods of experts during exercise by analyzing the exact neurocognitive response of actual users.

In addition, it is necessary to develop a system to match individual-specific practical training (Lesson), such as the “on-tact” environment of leaders during non-face-to-face dance and physical education, as well as exercise of ordinary people.

And, it is urgently needed to develop a real-time measurement and analysis system for biometric information that can measure 1) lower extremity muscle and lower skeletal system diseases and problems, which are important for maintaining immunity from the anatomy of the body, and 2) real-time measurement of biometric information that can measure the problems of neurocognitive sensory imbalance. to be.

In order to obtain complementary information by fusion of anatomical images, fascia meridians, and neurocognitive images through various convergence of IoT equipment for biometric information measurement, use various sensors and sensors necessary for this to perform more accurate and perfect exercise by increasing the amount of information. Development is needed.

On the other hand, the above-described background technology is technical information that the inventor possessed for derivation of the present invention or acquired during the derivation process of the present invention, and is not necessarily known to be known to the general public prior to filing the present invention. .

Korean Patent Registration No. 10-1903407 Korean Patent Publication No. 10-2012-0050746

In more detail, one aspect of the present invention is the application of Bio hybrid health tech technology to identify and evaluate the body's nerve cognition during exercise to enable correct exercise, thereby preventing physical rehabilitation and injury due to incorrect exercise. Prevent. Provides a real-time, non-face-to-face health and learning management system implemented to compensate for the lack of non-face-to-face education and provide an environment such as face-to-face instruction in the field.

In addition, a non-face-to-face real-time health and learning management system implemented to improve neurocognitive function decline and neurological disorders by evaluating and diagnosing neurocognitive response of motor performance ability and cognitive imbalance of brain by acquiring neurocognition information. Provides.

In addition, non-face-to-face matching (experts' exercise method, personalized training (Lesson), posture correction and whole body health, cognitive tracking to improve immunity, muscle strength training, and real-time biofeedback tracking data for proper exercise performance during exercise) , Provides a non-face-to-face real-time health and learning management system implemented to provide a continuous management support system through an app by providing analysis data necessary for the treatment and improvement of neurocognitive disorders.

In addition, alignment and activity of lower limb muscles are beneficial for posture correction, whole body health, immunity improvement, slim body line, and muscle and nerve activity (Core muscle, lower limb muscle, balance muscle, cognitive balance), skeletal balance and posture correction. Thus, a non-face-to-face real-time health and learning management system implemented to improve motor performance neurocognition is provided.

In addition, it improves physical rehabilitation and injury prevention and pain relief through the recovery of the body's proprioception through Smart bio hybrid health tech technology (i.e., bio health technology that combines wearables, sensors and IoT devices). For this, position data of joints, joint availability, human body heat distribution and balance, nerve driving pathway activity, and exercise performance data (Real time biofeedback data) are required. In addition, it provides a non-face-to-face real-time health and learning management system implemented to enable the use of various sensors required for the development of various convergence development of smart exercise equipment and biofeedback data tracking IoT equipment for this purpose. .

The technical problem of the present invention is not limited to the technical problem mentioned above, and other technical problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

A non-face-to-face real-time health and learning management system according to an embodiment of the present invention includes a health management device for a user to perform an exercise.

In one embodiment, the health management device is installed with a dedicated application for providing a non-face-to-face real-time health and learning management service, and captures an image of a user who is exercising so that the user's health status can be analyzed remotely, and image information Or, biometric information of a user who is exercising may be measured in real time.

In one embodiment, the non-face-to-face real-time health and learning management system according to another embodiment of the present invention is connected to the health management device through a network to receive image information or biometric information of a user who is using the health management device in real time. An expert terminal receiving and receiving the expert's opinion as an expert derived using the received image information or biometric information from the expert and transmitting the received image information to the health management device; And a 3D body image image of a user who is exercising by using the image information received from the health management device, and analyzing the biometric information received from the health management device, among the musculoskeletal system, exercise posture, muscular nervous system, respiration and metabolism. It further includes a non-face-to-face management server that measures at least one body reading element, reads biofeedback for immediate exercise performance improvement of a user using the measured body reading element, and transmits it to the health management device.

In one embodiment, the health management device is dedicated to providing a non-face-to-face real-time health and learning management service after accessing a website for providing a non-face-to-face real-time health and learning management service provided by the non-face-to-face management server. Download the application and install it on the terminal, or request the download of a dedicated application to provide a non-face-to-face real-time health and learning management service directly to the non-face-to-face management server, and then manage non-face-to-face real-time health and learning according to the approval of the non-face-to-face management server. A file for installing a dedicated application for providing a service can be downloaded and installed on the terminal.

In one embodiment, the health management device executes a dedicated application for providing a non-face-to-face real-time health and learning management service installed in the terminal according to an execution input from the user, and the cost provided by the application according to the user's touch input. Each menu of the face-to-face real-time health and learning management service can be driven.

In one embodiment, the non-face-to-face management server includes a 3D body image image implemented to improve an exercise performance ability for correcting a posture of a user during exercise, reducing muscle activity, and reducing muscle pain, and received from the health management device. At least one of static posture measurement, dynamic posture measurement, gait measurement analysis factor reading, and plantar pressure distribution change measurement may be used to measure information for improving exercise performance.

In one embodiment, the health management device, the exercise unit for the user to exercise on board; A measurement unit installed with a dedicated application for providing a non-face-to-face real-time health and learning management service, and is installed at least one in the exercise unit to measure biometric information for each body part of a user exercising in the exercise unit in real time; A display unit for outputting an expert's opinion as an expert received from the expert terminal or an image of biofeedback received from the non-face-to-face management server through a display unit; And a photographing unit installed on the exercise unit or the display unit to capture an image of a user who is exercising.

In one embodiment, the health management device is spaced from the rear end of the exercise part to the upper side of the exercise part and extends in an arch shape, and the face of the user who is exercising while lying on the exercise part and looking toward the sky and the display means of the display part It may further include an arcuate guide portion connected to and installed along the lower side so as to face each other so as to slide while drawing an arch in the front-rear direction.

In one embodiment, the arc-shaped guide portion, an arc-shaped frame that is formed to extend in an arc shape by being spaced apart from the rear end of the movement portion to the upper side of the movement portion; A sliding link having an upper portion seated in a sliding groove extending in a longitudinal direction along a lower side of the arched frame and sliding along the sliding groove; And a bracket installed on the lower side of the sliding link in a state in which a rear surface opposite to a front surface on which the display panel is installed in the display unit so that the display unit can be mounted on the lower side of the arched frame.

In one embodiment, the sliding link includes: a curved slider formed in a flat plate shape bent in a round shape corresponding to the curvature of the sliding groove and sliding in the front and rear directions along the sliding groove; A mounting bar extending from a lower side of the curved slider to an upper side of the bracket to mount the bracket; A rack gear installed at least one or more along a lower one side and the other side of the curved slider, and extending along one side and the other bottom surface of the sliding groove on which the lower one side and the other side of the curved slider are seated A sliding gear engaged with and installed, rotating in a clockwise or counterclockwise direction to slide the curved slider along the sliding groove; And at least one roller installed along an upper portion of the curved slider and mounted on a sliding rail extending along a ceiling surface of the sliding groove and moving along the sliding rail.

In one embodiment, the arc-shaped guide portion is formed as a curved frame having a shape corresponding to the shape of the arc-shaped frame and installed along the lower side of the arc-shaped frame, a front end supporting a lower front end of the arched frame, and a rear end of the arched frame. It may further include; a support frame installed on the rear end of the exercise unit to support the arcuate frame.

In one embodiment, the arcuate guide portion, the arcuate frame installed on the rear end of the movement unit in a direction in which the front end of the arched frame is raised and lowered when the front end of the arched frame descends downward and the front end of the support frame is lowered together. It may further include a; frame support for rotating the rear end of the.

In one embodiment, the frame support portion is installed in a first support groove that is connected and installed so that the lower portion is rotatable to an upper end of the rear end of the exercise unit and that the upper portion is formed extending in the longitudinal direction forward and backward along the inner surface of the arcuate frame facing the user. A first support bar that is seated and rotates the rear end of the arched frame by pushing the arched frame in the rear end direction as the upper portion is lowered; A second support that is connected and installed apart from the first support bar so that the lower part is rotatable at the rear end of the moving part, and the upper part is formed to face the first support groove in a longitudinal direction along the inner side of the arched frame and extend. A second support bar that is seated in the groove and pushes the arched frame toward a rear end as the upper portion descends to rotate the rear end of the arched frame; A connection gear engaged with and connected to a rear gear formed in a form of a rack gear along an inner surface of the rear end of the support frame in the inner space of the rear end of the movement unit, and rotating as the rear end of the support frame is raised or lowered; It is bent round in the shear direction and formed to extend in the vertical direction, and the first front rack gear is formed in the vertical direction along the front surface, the upper part is connected to be rotatable to the lower side of the first support bar, and the first front rack gear A first lifting bar engaged with one side of the connection gear and connected and installed to lift or lower the first support bar as the connection gear rotates; And bent round in the shear direction to extend in the vertical direction, the second front rack gear is formed in the vertical direction along the front surface, the upper part is connected and installed to be rotatable to the lower side of the second support bar, and the second front rack It may include; a second lifting bar that is installed in engagement with the other side of the coupling gear to lift or lower the second support bar as the coupling gear rotates.

According to one aspect of the present invention described above, it is possible to reduce the risk of motor injury due to unilateral follow-up of a video, and to match the exercise method of experts by analyzing data on whether the actual user's correct posture is performed, and to use non-face-to-face dance. ·In addition to physical education, it is possible to match individual-specific practical training of leaders with "On Tect" during exercise of ordinary people, and obtain complementary information by fusion of anatomical images, fascia meridians, and neurocognitive images into one image. By increasing the amount of information, more accurate and simple analysis images can be provided.

In addition, it is possible to measure the musculoskeletal system/posture/muscular nervous system/breathing/metabolic, as well as improve the immediate exercise performance according to biofeedback, so it acts as a treatment equipment and provides health care for health centers, community centers, school institutions, and fitness centers. It can be applied first in terms of management, and can enable U-Health care, that is, remote medical treatment.

In addition, the DB built in the Smart hybrid fitness health tech system is a variety of equipment that involves orthopedic surgery, rehabilitation medicine, pain management, exercise prescription, healthcare, as well as clothing fashion, furniture, architectural design, and human movement through pattern analysis. , It can be provided as research and commercial data on automobile, factory traffic line design, etc.

Smart hybrid health tech system provides an expandable environment of Home teaching and Living Lab at home, and can give lively realism while enabling real-time non-face-to-face performance through convergence with Gamification, VR, and AR.

In the meantime, the change of various uses of the Iot pressure sensor is expected to be an innovative research in this sense by broadening the applicability of the pressure sensor in many studies required to maintain human comfort and health. In addition, the development of pressure sensors for various applications can expect innovative research results from Gait research, which has been ongoing at shoe manufacturers and hospital research centers so far.

The effects of the present invention are not limited to the above-mentioned effects, and various effects may be included within a range that is apparent to a person skilled in the art from the contents to be described below.

1 is a diagram illustrating a schematic configuration of a non-face-to-face real-time health and learning management system according to an embodiment of the present invention.
2 is a diagram illustrating a schematic configuration of a non-face-to-face real-time health and learning management system according to another embodiment of the present invention.
3 and 4 are diagrams showing an embodiment of the health management device of FIG. 2.
5 and 6 are diagrams illustrating another embodiment of the health management device of FIG. 2.
7 is a view showing an embodiment of the arcuate guide portion of FIG. 5.
8 is a view showing the sliding link of FIG. 7.
9 is a view showing another embodiment of the arcuate guide portion of FIG. 5.
10 to 12 are views illustrating a connection relationship between the support frame of FIG. 9 and the frame support portion.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description of the present invention described below refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced. These embodiments are described in detail sufficient to enable a person skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other, but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the present invention in connection with one embodiment. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description to be described below is not intended to be taken in a limiting sense, and the scope of the present invention, if appropriately described, is limited only by the appended claims, along with all ranges equivalent to those claimed by the claims. Like reference numerals in the drawings refer to the same or similar functions over several aspects.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a diagram illustrating a schematic configuration of a non-face-to-face real-time health and learning management system according to an embodiment of the present invention.

Referring to FIG. 1, a non-face-to-face real-time health and learning management system 1 according to an embodiment of the present invention includes a health management device 100.

The health management apparatus 100 is formed of an exercise device such as a Pilates bed for a user to exercise.

2 is a diagram illustrating a schematic configuration of a non-face-to-face real-time health and learning management system according to another embodiment of the present invention.

Referring to FIG. 2, a non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention includes a health management device 100, an expert terminal 200, and a non-face-to-face management server 300. .

The health management device 100 downloads a dedicated application installation file for providing a non-face-to-face real-time health and learning management service from a dedicated web page or a non-face-to-face management server 300 and provides a non-face-to-face real-time health and learning management service. A dedicated application is installed, and an expert terminal 200 or a non-face-to-face management server 300 through a network (N) by taking an image of a user who is exercising to remotely analyze the user's health status to generate image information The biometric information of the user who is exercising is transmitted to or is measured in real time and transmitted to the expert terminal 200 or the non-face-to-face management server 300 through the network N.

In one embodiment, the health management device 100 accesses a website for providing a non-face-to-face real-time health and learning management service provided by the non-face-to-face management server 300 and then provides a non-face-to-face real-time health and learning management service. After downloading a dedicated application for providing and installing it on the terminal, or requesting a download of a dedicated application for providing a non-face-to-face real-time health and learning management service directly to the non-face-to-face management server 300, approval of the non-face-to-face management server 300 Accordingly, a file for installing a dedicated application for providing a non-face-to-face real-time health and learning management service may be downloaded and installed on the terminal.

In one embodiment, the health management device 100 executes a dedicated application for providing a non-face-to-face real-time health and learning management service installed in the terminal according to an execution input from the user, and is provided by the application according to the user's touch input. Each menu of the non-face-to-face real-time health and learning management service can be driven.

The expert terminal 200 is connected to the health management device 100 through a network N to receive image information or biometric information of a user who is using the health management device 100 in real time, and receives the received image information or biometric information. The expert's opinion as an expert derived using the information is received from the expert and transmitted to the health management device 100.

The non-face-to-face management server 300 implements a 3D body image image of a user who is exercising by using image information received from the health management device 100 through the network N, and receives it from the health management device 100 By analyzing the biometric information, it measures at least one body reading element among musculoskeletal system, exercise posture, muscular nervous system, respiration and metabolism, and reads biofeedback to improve the user's immediate exercise performance using the measured body reading element. It is transmitted to the health management device 100 through the network (N).

In order to implement a 3D body image image, the non-face-to-face management server 300 uses pervasive-based invaded Iot sensors such as DITI (Digital Infrared Thermography Imaging), reactive pressure element sensor, and Azure Kinect DK. By using, each measurement extraction data can be implemented as an image image.

In order to measure and analyze biometric information in real time, the non-face-to-face management server 300 enhances the recognition rate of the sensor by applying a method of learning while mapping input and output data of Supervised Learning to each other, and 1) muscle and skeletal diseases and problems. , 2) The problem of imbalance of activity of muscles and nerves, 3) The problem of respiration and metabolic imbalance, 4) The problem of neural recognition (proprietary sense of acceptance) imbalance, etc.

Accordingly, the biometric information measurement system according to the present invention can provide 1) a simple installation condition, 2) a simple use procedure, and 3) a consistent measurement result.

In addition, it is possible to measure the musculoskeletal system/posture/muscular nervous system/respiratory/metabolism, etc., as well as improve the immediate exercise performance according to biofeedback. It can be applied first.

In addition, the non-face-to-face management server 300 includes comparison data before and after exercise, real-time biofeedback tracking data for proper exercise performance during exercise, diagnosis data necessary for treatment and improvement of muscle and nerve pain, report data required for orthopedic surgery and rehabilitation medicine, and In order to support continuous feedback automatic management support through an app, a database (DB) for building big data such as DB for each pattern and AI analysis report can be separately provided.

In one embodiment, the non-face-to-face management server 300 is a 3D body image image and a health management apparatus 100 implemented to improve an exercise performance ability for correcting a posture of a user who is exercising, reducing muscle activity and muscle pain. ), static posture measurement (pelvic and shoulder tilt, spinal curvature, upper body and neck tilt (turtle neck) test, etc.), dynamic posture measurement (shoulder joint range of motion (ROM), joint and related muscles, etc.) Mobility, activation, flexibility diagnosis), gait measurement analysis factor reading (valgus/Varus, pronation/supination of the lower extremity, lower limb joint angle change, etc.), and measurement of change in plantar pressure distribution (plantar AI analysis of information for improving exercise performance ability of at least one of pressure distribution and cop change, heel on/ mid support/ toe off change, etc. It can be measured through content development, providing data to users).

In one embodiment, data that can be provided from the non-face-to-face management server 300 include: 1) Comparison data before and after exercise 2) Real-time biofeedback tracking data for proper exercise during exercise 3) Muscle, Providing Diagnosis data necessary for treatment and improvement of nerve pain 4) Providing report data necessary for orthopedics and rehabilitation medicine 5) There may be a continuous management support system through an app.

And, by using data that can be provided from the non-face-to-face management server 300, it is possible to develop contents necessary for treatment and improvement, that is, to develop a Prescription Manual for rehabilitation and improvement exercises, examples of which include 1) muscle, skeletal balance, and posture. Correction 2) Improvement of pain through muscle and nerve activity and metabolic balance. 3) Improvement of cognitive ability of motor performance, that is, proprioception.

In one embodiment, the non-face-to-face management server 300 includes 1) structural and anatomical information, 2) human metabolism, physiological information, 3) proprioception, that is, recognition, cognitive and functional information, and 4) AI analysis. Through such as "Real time Biofeedback Hybrid Health Tech (Smart K-Equipment) development" can be performed.

At this time, as structural and anatomical information, static posture measurement (upper body/ neck tilt (turtle neck), pelvis/ shoulder tilt, elbow joint/ wrist joint/ knee joint/ ankle joint/ spinal curve/ eye, nose, ear position), Dynamic posture measurement (shoulder joint range of motion (ROM), joint and related muscle mobility, activation, posture, balance, flexibility), plantar pressure distribution/gait measurement ( Plantar pressure distribution and cop change, lower extremity Valgus/Varus, Pronation/Supination, lower extremity joint angle, heel on/mid support/toe off change, etc.).

In addition, human body metabolism and physiological information include measurement of body heat distribution (body energy metabolism, nerve driving path activity), body heat balance measurement (shape of isotherm, balance of nerve driving path, pain symptoms), respiratory volume measurement (body energy metabolism rate, Respiration rate, physical strength) information, etc.

In addition, cognitive and cognitive functional information may include measurement of fluctuations in pressure distribution and body heat change in the human body (motor nerve recognition and brain cognitive imbalance, proprioception balance).

And, as an AI analysis, there may be a prescription according to a personalized measurement diagnosis (personal customized step-by-step exercise prescription, exercise scheduling, exercise curation, physical fitness management curation, and data provision to users).

The smart healthcare industry is based on IT, BT, NT technology and ICT convergence technology, and goes beyond treatment-oriented traditional medical institution services, 4P (Personalized: Personalization, Predictive: Predictive, Preventive: Prevention, Participatory: Participation) ) It is evolving into leading healthcare. Services such as precision medical care, telemedicine, and monitoring will be provided to manage the life cycle through changes in the way medical data is accessed and secured. The use of IT smart devices, services, and apps is expected to expand to personalized smart healthcare services such as management of diseases, health, exercise, and eating habits of patients and the general public.

The development of the high-tech industry and the Internet systematically exercise, and changes in the environment of social distancing from consumer needs to exercise anytime, anywhere are triggering ICT-based equipment and services. The development of smart products for remote medical treatment and remote health management and the provision of differentiated services are emerging with the increase of the athletic population, the well-being trend, the health tech boom, and the expansion of demand for fitness equipment.

Smart sports equipment is a sports exercise equipment that is connected by sensors, embedded computers, digital, and ICT to help athletes or athletes monitor, track, analyze and improve their performance.

Postural imbalances contribute to a number of diseases. If you work for a long time in the same posture as a smartphone or computer game, or continue exercising for a long time in which your body balance is biased to one side, such as golf or tennis, or sleep in a bad posture in everyday life, the habit of walking or losing weight. It has been found that the cause of postural imbalance is the case of going out more than the normal value, and posture imbalance caused by such lifestyle posture is the cause of various diseases.

In the fields of orthopedic surgery, rehabilitation medicine, and healthcare that have been used up to now, the existing body posture measurement equipment is divided into a static posture measurement tool and a dynamic posture measurement tool. The measurement equipment is mostly foreign equipment of motion capture such as Vicon, and it is an expensive equipment with complicated installation conditions and measurement and analysis process, and its practicality is very insufficient. In particular, medical equipment for diagnosis and evaluation of body imbalance and musculoskeletal disorders requires the use of experts, and information is limited to only the muscles and skeletons, so there is a lack of biometric information on the actual exercise effect.

Personal exercise at home is expected to increase further due to the prolonged paradigm of social distancing caused by viral infection, and many personal exercise videos are still being produced as Homt (short for home training). However, the danger of these videos is that there is no certified instructor qualification and professionalism, and because you cannot evaluate your exercise posture while imitating the exercise, you cannot prevent injuries caused by the wrong exercise posture.

Klaus Schwab's tipping point on the prospects of healthcare industry technologies in relation to the health industry following the 4th industrial revolution is expected to be mainly test bed businesses using wearable sensors and IoT devices. And, from 2022 to 2023, 10% of the world's population is introduced to wearables for wearing clothing connected to the Internet, glasses connected to the Internet and interface from a new perspective, and the commercialization of the first implantable mobile phone as representative technologies. .

The non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention having the configuration as described above not only measures musculoskeletal system/posture/muscular nervous system/respiratory/metabolism, etc., but also performs immediate exercise according to biofeedback. Since it can improve the ability, it can play the role of a treatment equipment, which can be applied preferentially in the aspect of health management such as public health centers, community centers, school institutions, and fitness and fitness, and U-Health care, that is, remote medical treatment can also be possible.

In addition, the DB built in the Smart hybrid fitness health tech system is a variety of equipment that involves orthopedic surgery, rehabilitation medicine, pain management, exercise prescription, healthcare, as well as clothing fashion, furniture, architectural design, and human movement through pattern analysis. , It can be provided as research and commercial data on automobile, factory traffic line design, etc.

Smart hybrid health tech system provides an expandable environment of Home teaching and Living Lab at home, and can give lively realism while enabling real-time non-face-to-face performance through convergence with Gamification, VR, and AR.

In addition, the change of various uses of the Iot pressure sensor is expected to be an innovative research in this sense by broadening the applicability of the pressure sensor in many studies necessary to maintain human comfort and health. In addition, the development of pressure sensors for various applications can expect innovative research results from Gait research, which has been ongoing at shoe manufacturers and hospital research centers so far.

The non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention having the configuration as described above, first secures the originality of the fusion image system development in order to secure originality and differentiation.

In other words, the DITI infrared body thermal image, the joint image of the skeleton object of Azure Kinect DK, and the pressure distribution image of the reactive pressure sensor are implemented as one image using smart convergence technology, and the same anatomical structure or lesion is acquired with various devices. Convergence between one image (Multi-Modality Imaging) and variable data (musculoskeletal imbalance, nerve driving path imbalance, motor neuron cognition imbalance, body metabolism imbalance) analyzed by each field (orthopedics, physical therapy, neurosurgery, endocrinology, etc.) ) Through integrated image analysis, the organic relationship of each body function must be provided in a clear way.

Anatomical image (Multi-Modality Imaging) through TOF technology of Azure Kinect DK sensor, Plant estimate image and data of reactive pressure sensor, Body pressure distribution image and data, Neurocognition system (Nerve cognition system) The and fascia and fascia position & meridian (Fascia Position & Meridian) estimation tables can be implemented as one image along with quantitative data by using fusion technology on the character image of the performer.

Next, it is possible to provide real-time biofeedback tracking technology and real-time smart cue sign that responds immediately to individuals.

Next, it is possible to provide the originality of a muscle strengthening device for recognition and cognitive tracking of the extension and contraction of the lumbar and sacrum.

In other words, it is possible to reinforce the correction, alignment and stabilization of the spine and pelvis by installing two types of carriages and new function rest hardware that are not available in the existing equipment.

Next, to acquire anatomical and structural information, the imbalance of the musculoskeletal system is evaluated, predicted, and diagnosed with a 3D motion analysis system that can measure static and dynamic postures and real-time through zure Kinect DK sensor and TOF technology. In addition, by fusion with a responsive pressure sensor, the pressure distribution and pressure balance for each body part, the degree of pressure change during exercise, and dynamic muscle and skeletal availability data are quantitatively calculated to correct static and dynamic body posture and joint availability. Provides for improvement.

Next, to obtain human metabolism and physiological information, the distribution, balance and data of human body heat are calculated quantitatively through a body heat analysis camera and KLT tracking technology, and the cause of the pain syndrome caused by muscle and nerve activity imbalance according to exercise performance. It is provided to relieve pain through restoration of muscle nerve activity and balance by evaluating and predicting diagnosis, and by quantitatively calculating respiratory volume and body energy metabolism data to evaluate and diagnose metabolic disorders caused by energy metabolism imbalance, and metabolism and respiration. It can provide to improve the body metabolic balance by activating the state of the body.

Finally, in order to acquire information on cognitive function, which is proprioception, a body heat analysis camera and a reactive pressure sensor track the change in the activity of the nerve driving pathway, and the neurocognitive response of the motor performance ability, which is proprioception. The relationship between exercise and cognition: The relationship between exercise and cognition: Literature review of brain studies, MinJungWoo, 2010).

The non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention having the configuration as described above, according to the one-sided demonstration of the widespread homet video, in order to reduce the risk of injury from the following. By analyzing the neurocognitive response data for posture, it is possible to match the exercise method of experts and the individual customized practical training (Lesson) of the instructor, and the Bio hybrid health tech system specialized in the contents of lower limb alignment and stabilization, and lower limb muscle activity increases immunity. And body line formation.

The non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention provides a non-face-to-face real-time health and learning management system 10, in order to provide a differentiation of matching the exercise method of experts and the individual customized practical training of the instructors and to provide the correct exercise method customized for each individual. In addition to face-to-face dance and physical education, it is possible to provide training for the general public as well as the training of experts and instructors' personalized practical training.

In addition, real-time Que Sign is provided for proper exercise through continuous real-time biofeedback data tracking during exercise for the differentiation of providing real-time que sign through biofeedback data tracking during exercise to improve the body (lower extremity muscles, skeletal alignment and balance. , Posture correction, neurocognitive sensation recovery, etc.) can be promoted.

In other words, 1) Develop a single image system / match the exercise methods of experts to prevent movement injuries 2) Real-time non-face-to-face personalized practical training (Lesson) 3) Real-time biofeedback and real-time smart cue sign that responds instantly to each individual Provision 4) Originality of the lower extremity muscle strength strengthening device specialized in neurocognition for the extension and contraction of the lower extremity musculoskeletal muscle 5) Acquisition of information on the neurocognition function 6) It can realize alignment of the lower extremity muscles and providing active contents.

In addition, the non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention provides for the development of a training device specialized for alignment and stabilization of the lower extremities, and lower extremity muscle activity that are not present in the existing equipment. Exercise methods and prescriptions for correction and neurocognition can be executed.

To this end, it is a device for static/dynamic body posture correction (lower limb alignment) and improvement of joint available cognitive ability by evaluating and predicting and diagnosing the imbalance of the muscle and skeletal system through measurement of joint position, joint availability, and muscle balance. As a result, it can be implemented as an Azure Kinect DK sensor, a real-time musculoskeletal system/posture motion tracking and analysis applying deep learning of pressure sensor technology and machine learning method, and alignment of the lower limb musculoskeletal, lumbar and sacrum, and muscle strength strengthening system.

In addition, the non-face-to-face real-time health and learning management system 10 according to another embodiment of the present invention can develop a bio hybrid health tech system that is advantageous for increasing immunity and forming a body line, specialized for contents of lower limb alignment and stabilization, lower limb muscle activity. During exercise, it is possible to perform integrated development of lower limb muscles, lumbar spine, and sacrum angle, contraction, elongation balance and recognition, and cognitive tracking.

This can be implemented through the development of personally customized hardware enhancing muscle strength/real-time Que Sign system for exercise recognition.

3 and 4 are diagrams showing an embodiment of the health management device of FIG. 2.

3 and 4, the health management apparatus 100 according to an embodiment includes an exercise unit 110, a measurement unit 120, a display unit 130, and a photographing unit 140.

The exercise unit 110 allows the user to ride and exercise, and when formed in the form of a bed 110 for pilates as shown in FIG. 3, the measurement unit 120, the display unit 130, and the photographing unit 140 It may be integrally installed on the bed, and as shown in FIG. 4, it may be formed of a pressure mat 110b, in which the measuring unit 120b, the display unit 130b, or the photographing unit 140b cannot be integrally installed. have.

The measurement unit 120 is for providing a non-face-to-face real-time health and learning management service by downloading a dedicated application installation file for providing a non-face-to-face real-time health and learning management service from a dedicated web page or a non-face-to-face management server 300. A dedicated application is installed, and at least one or more is installed in the exercise unit 110 to measure biometric information for each body part of the user exercising in the exercise unit 110 in real time.

Here, the measurement unit 120 quantitatively calculates the position data of the joint through the tracking and recognition of the Skeleton through the Azure Kinect DK sensor, and applies a machine learning technique of multiple regression linear analysis to improve the accuracy of the data. With a 3D motion analysis system that can be measured in real time, the imbalance of the musculature and skeletal system is evaluated and predicted and diagnosed, and it can be provided to correct static and dynamic body postures and improve joint availability.

In one embodiment, the measurement unit 120 applies a deep learning technique of machine learning in order to acquire single pixels of a joint and increase the accuracy of 3D position data through TOF technology of the Azure Kinect DK sensor. In addition, it is possible to increase the precision of object tracking by determining the pattern of the motion to be performed (4 motions), thereby increasing the accuracy of the joint position data.

In addition, through DITI (Digital Infrared Thermography Imaging) technology, the body heat data (heat distribution, calorie amount), respiration volume, and body energy metabolism according to the exercise posture are quantitatively calculated when performing exercise to activate muscles and nerves according to exercise performance. The cause of pain syndrome due to imbalance can be evaluated and predicted.

In addition, motor nerve recognition by measuring exercise performance ability and proprioception through quantitative calculation of the pressure distribution and fluctuation trend of the human body according to the exercise posture through the reactive pressure element sensor technology. Can be assessed and diagnosed.

The display unit 130 outputs an expert's opinion as an expert received from the expert terminal 200 or an image of a biofeedback received from the non-face-to-face management server 300 through a display unit.

The photographing unit 140 is installed on the exercise unit 110 or the display unit 130 to capture an image of a user who is exercising.

The EWD, non-face-to-face management server 300 quantitatively calculates the distribution, balance, and data of human body heat through the result of the photographing unit 140 using the DITI body heat analysis camera, and thus increases the activity imbalance of muscles and nerves according to exercise performance. It can be provided to alleviate pain through the restoration of muscle nerve activity and balance by evaluating and predicting the cause of the resulting pain syndrome.

In addition, the non-face-to-face management server 300 quantitatively calculates DITI body heat data, analyzes respiration volume and energy metabolism, evaluates and diagnoses metabolic disorders due to energy metabolism imbalance, activates metabolism and respiration, and balances body metabolism. Can be provided to provide to improve.

In addition, through responsive pressure sensor and Azure Kinect DK sensor, the neural perception imbalance of exercise performance ability is calculated by quantitatively calculating the pressure distribution and pressure balance for each body part, the degree of pressure change during exercise, and dynamic muscle and skeletal available data. It can be assessed and diagnosed and provided to improve proprioception.

When the exercise unit 110 is formed of a pressure mat 110b, the measurement unit 120b is preferably formed of a pressure element sensor.

It is not easy to grasp the accuracy of one's exercise posture during exercise. So, it has developed into a mat that is released by drawing a center line on the mat, but it is not easy to find the center line of the mat and match yourself when you move your body when exercising while lying down. Then, it is not easy to maintain the left/right/up/down balance of the body.

According to the present invention, the exercise mat guides the body to maintain the left/right/up/down balance even when lying down and exercising with a responsive measuring unit 120b, that is, a pressure mat 110b equipped with a pressure sensor. I can.

Through the responsive pressure sensor and Azure Kinect DK sensor, the pressure distribution and pressure balance for each body part, the degree of pressure change during exercise, and dynamic muscle and skeletal availability data are quantitatively calculated to evaluate and diagnose the nerve perception imbalance of exercise performance. Thus, it can serve to improve proprioception ability.

In addition, it will be possible to lead health through proper exercise by providing accurate exercise posture Gue sign (indicator) coaching during exercise through real-time biometric tracking.

The reactive pressure element sensor, which is an embodiment of the measuring unit 120b, is a pressure distribution and fluctuation trend of the human body according to the exercise posture when performing an exercise through the development technology of a reactive pressure element sensor. Through the quantitative calculation of the motor performance ability and proprioception, it is possible to evaluate and diagnose the imbalance of motor neuron recognition.

The development of the sublimation transfer method of the responsive sensor is a responsive sensor that can be applied to a variety of materials. In this study, it is applied to a mat, and it can provide continuous real-time biofeedback data and tracking to perform the correct exercise during exercise, and perform the correct posture exercise. Restoration of the intrinsic sense of acceptance through this can promote physical improvement (muscle and skeletal balance, posture correction, pain improvement, etc.).

In the present invention, by applying to the pressure mat 110b, continuous real-time biofeedback data and tracking can be provided to perform the correct exercise during exercise, and the muscle and skeletal balance of the body, by restoring the intrinsic sense of acceptance through performing the correct posture exercise, Posture correction, pain improvement, etc. are promoted. It is possible to provide accurate exercise posture que sign (indicator) coaching during exercise through real-time Biofeedback data Tracking signal during exercise.

This mat, made by the sublimation transfer method, is inherently reinforced to prevent data errors and loss due to slipping or deformation during use during exercise.

Sublimation transfer method responsive sensor development is a sensor that can be applied to a variety of materials and can be applied to the healthcare industry, automobile industry, furniture industry, and measurement industry.

Changes in various uses of the pressure sensor require a lot of research to be done to maintain human comfort and health, and this new development of the pressure sensor at the headquarters is expected to be an innovative research in this sense. In addition, if the development of the innovative pressure sensor of the head office is completed, innovative research results can be expected from Gait research, which is being conducted at shoe makers and hospital research centers so far.

The pressure sensor is also used as an Altimeter and Airspeed meter using pressure sensor. A pressure sensor is also used to measure altitude. Since the pressure decreases as the altitude increases, you can determine the altitude by measuring the change in pressure.

Among the pressure sensors, FSR is called by reducing the Force Sensitive Resister. This sensor increases or decreases the resistance according to the pressure. When no pressure is applied, the resistance value is 1Mohm or more. When the sensor is pressed harder, the resistance value of the sensor decreases. Since it is a kind of variable resistor, if you want to connect to Arduino, you need to configure a voltage divider circuit.

Pressure sensor The pressure in the range of the FSR sensor is, of course, the more sensitive the FSR sensor is the product with a lower pressure rating. Also, if a pressure exceeding the maximum measured value is applied, the value cannot be measured, and the sensor may be damaged.

For example, a sensor rated at 1kg can read weights from 0 to 1kg, but cannot tell the difference between 2kg and 5kg.

5 and 6 are diagrams illustrating another embodiment of the health management device of FIG. 2.

5 and 6, a health care device 100a according to another embodiment includes an exercise unit 110, a measurement unit 120, a display unit 130, a photographing unit 140, and an arcuate guide unit 150 Includes.

Here, since the exercise unit 110, the measurement unit 120, the display unit 130, and the photographing unit 140 are the same as those of FIG. 4, descriptions thereof will be omitted.

The arcuate guide unit 150 is spaced from the rear end of the exercise unit 110 to the upper side of the exercise unit 110 and extends in an arch shape, and the user's face and display unit 130 are exercising while lying on the exercise unit 110 and looking in the sky direction. The display unit 130 is connected and installed along the lower side so that the display means of) can face each other so that the display unit 130 slides while drawing an arch in the front and rear direction.

In one embodiment, the arcuate guide unit 150 may be installed on the Pilates bed type exercise unit 110 of FIG. 3, as well as by installing a separate installation structure at the rear end of the pressure mat 110b of FIG. 4 Of course it can be.

In the health management device 100a according to another embodiment having the configuration as described above, not only the user P who is exercising can check his or her exercise state in real time while looking at the display unit 130 at all times, but also take a picture. The unit 140 can also keep an eye on the user P at all times, so that the user P can act in real time.

7 is a view showing an embodiment of the arcuate guide portion of FIG. 5.

Referring to FIG. 7, the arcuate guide unit 150 according to an embodiment includes an arcuate frame 151, a sliding link 152, and a bracket 153.

The arcuate frame 151 is spaced from the rear end of the exercise part 110 to the upper side of the exercise part 110 and extends in an arc shape, and at least one sliding groove 1511 extends along a lower side thereof.

The sliding link 152 is mounted on a sliding groove 1511 extending in the front and rear longitudinal direction along the lower side of the arc-shaped frame 151 and sliding along the sliding groove 1511 while a bracket installed at the lower side ( The 153 is mounted from the lower side of the arched frame 151.

The bracket 153 includes the sliding link 152 in a state in which the rear surface of the display unit 130, which is the opposite side of the front surface on which the display panel is installed, is fastened so that the display unit 130 can be mounted on the lower side of the arched frame 151. It is installed on the lower side.

8 is a view showing the sliding link of FIG. 7.

Referring to FIG. 8, the sliding link 152 includes a curved slider 1521, a mounting bar 1522, a sliding gear 1523, and a roller 1524.

The curved slider 1521 is formed in a flat plate shape bent roundly in response to the curvature of the sliding groove 1511 and slides forward and backward along the sliding groove 1511, and has at least one roller 1524 along the top. It is connected and installed, and at least one sliding gear 1523 is connected and installed along the lower part.

The mounting bar 1522 is formed extending from the lower side of the curved slider 1521 to the upper side of the bracket 153 to mount the bracket 153.

At least one sliding gear 1523 is installed along the lower one side and the other side of the curved slider 1521, respectively, and of the sliding groove 1511 in which the lower one side and the other side of the curved slider 1521 are seated. It is engaged and connected to the rack gear 1512 extending along one side and the other bottom surface, and rotates clockwise or counterclockwise to slide the curved slider 1521 along the sliding groove 1511.

At least one roller 1524 is installed along the upper portion of the curved slider 1521, and is seated on the sliding rail 1513 extending along the ceiling surface of the sliding groove 1511, and along the sliding rail 1513. Move.

9 is a view showing another embodiment of the arcuate guide portion of FIG. 5.

Referring to FIG. 9, an arcuate guide portion 150a according to another embodiment includes an arcuate frame 151, a sliding link 152, a bracket 153, and a support frame 154.

Here, the arcuate frame 151, the sliding link 152, and the bracket 153 are the same as those of FIG. 6, and thus description thereof will be omitted.

The support frame 154 is formed as a curved frame having a shape corresponding to the shape of the arched frame 151 and installed along the lower side of the arched frame 151, and the front end is the lower front end 1514 of the arched frame 151 And the rear end is installed above the rear end of the exercise unit 110 to support the arched frame 151.

The arcuate guide portion 150 according to another embodiment having the configuration as described above may further include a frame support portion 155.

The frame support part 155 is at the upper end of the rear end of the exercise part 110 in the direction in which the front end of the arched frame 151 is raised and lowered when the front end of the arched frame 151 descends downward and the front end of the support frame 154 descends together. It rotates the rear end of the arched frame 151 to be installed.

The arc-shaped guide portion 150a according to another embodiment having the configuration as described above, when inclined to the lower side of the arc-shaped frame 151 without withstanding the load of the display portion 130, primarily using the support frame 154 By supporting the arched frame 151 and secondarily rotating the arched frame 151 using the frame support 155, it is possible to minimize shaking or inclination according to the load of the display unit 130.

10 to 12 are views showing a connection relationship between the support frame of FIG. 9 and the frame support portion.

10 to 12, the frame support 155 includes a first support bar 1551, a second support bar 1552, a connection gear 1535, a first lifting bar 1554, and a second lifting bar. (1555).

The first support bar 1551 is connected and installed so that the lower part is rotatable to the upper end of the rear end of the exercise part 110 and the upper part is formed to extend in the front and rear longitudinal direction along the inner surface of the arched frame 151 facing the user. It is seated in the support groove L1, and as the upper portion descends, the arched frame 151 is pushed in the rear end direction to rotate the rear end of the arched frame 151.

The second support bar 1552 is spaced apart from and connected to the first support bar 1551 so that the lower part is rotatable at the rear end of the exercise unit 110, and the upper part is in the front and rear longitudinal direction along the inner surface of the arched frame 151 It is seated in a second support groove (L2) that is formed extending and facing the first support groove (L1), and as the upper portion descends, the arched frame 151 is pushed toward the rear end and the rear end of the arched frame 151 is rotated. give.

The connection gear 1553 is installed in engagement with the rear gear G1 formed in the form of a rack gear along the inner surface of the rear end of the support frame 154 in the inner space of the rear end of the exercise unit 110, and the support frame 154 The first lifting bar 1554 or the second lifting bar 1555 is raised or lowered while rotating as the rear end of the upper end moves up or down.

The first lifting bar 1554 is bent round in the shear direction to extend in the vertical direction, and the first front rack gear G2 is formed in the vertical direction along the front surface, and the upper part is the lower side of the first support bar 1551 It is connected and installed so as to be rotatable, and the first front rack gear (G2) is meshed with one side of the connection gear (1553) to be connected and installed to move the first support bar (1551) while raising or lowering as the connection gear (1553) rotates. It lifts or descends.

The second lifting bar 1555 is roundly bent in the shear direction to extend in the vertical direction, and the second front rack gear G3 is formed in the vertical direction along the front surface, and the upper part is the lower side of the second support bar 1552 It is connected and installed so as to be rotatable, and the second front rack gear (G3) is meshed with the other side of the connection gear (1553) and is connected and installed to move up or down as the connection gear (1553) rotates while the second support bar (1552) It raises or lowers.

The above-described embodiments are for illustrative purposes only, and those of ordinary skill in the art to which the above-described embodiments belong can easily transform into other specific forms without changing the technical spirit or essential features of the above-described embodiments. You can understand. Therefore, it should be understood that the above-described embodiments are illustrative and non-limiting in all respects. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope to be protected through the present specification is indicated by the claims to be described later rather than the detailed description, and should be interpreted as including all changes or modified forms derived from the meaning and scope of the claims and the concept of equivalents thereof. .

10: Non-face-to-face real-time health and learning management system
100: health care device
110: exercise unit
120: measurement unit
130: display
140: photographing department
150: arcuate guide portion
200: expert terminal
300: Non-face-to-face management server

Claims (2)

Including; a health management device for a user to perform an exercise,
The health management device is installed with a dedicated application for providing a non-face-to-face real-time health and learning management service, and generates image information by taking an image of a user who is exercising so that the user's health status can be analyzed remotely. It measures the biometric information of the active user in real time,
It is connected to the health management device through a network to receive image information or biometric information of the user who is using the health management device in real time, and the expert's opinion as an expert derived using the received image information or biometric information from an expert. An expert terminal receiving input and transmitting it to the health care device; And a 3D body image image of a user who is exercising by using the image information received from the health management device, and analyzing the biometric information received from the health management device, among the musculoskeletal system, exercise posture, muscular nervous system, respiration and metabolism. A non-face-to-face management server that measures at least one body reading element, reads biofeedback for improving the user's immediate exercise performance using the measured body reading element, and transmits it to the health management device; further comprising,
The health care device,
After accessing a website for providing a non-face-to-face real-time health and learning management service provided by the non-face-to-face management server, a dedicated application for providing a non-face-to-face real-time health and learning management service is downloaded and installed on the terminal, or For installation of a dedicated application for providing non-face-to-face real-time health and learning management services according to the approval of the non-face-to-face management server after requesting download of a dedicated application for providing non-face-to-face real-time health and learning management services directly to the face-to-face management server. The file is downloaded and installed on the terminal,
The health care device,
Executes a dedicated application to provide a non-face-to-face real-time health and learning management service installed in the terminal according to the execution input from the user, and each menu of the non-face-to-face real-time health and learning management service provided by the application is displayed according to the user's touch input. Drive,
The non-face-to-face management server uses a 3D body image image implemented to improve an exercise performance ability for correcting posture, muscle activity, and muscle pain reduction of a user who is exercising, and biometric information received from the health management device. Measure information for improving the performance of at least one of static posture measurement, dynamic posture measurement, gait measurement analysis factor reading, and plantar pressure distribution change measurement,
The health management device includes an exercise unit for a user to exercise on board; A measurement unit installed with a dedicated application for providing a non-face-to-face real-time health and learning management service, and is installed at least one in the exercise unit to measure biometric information for each body part of a user exercising in the exercise unit in real time; A display unit for outputting an expert's opinion as an expert received from the expert terminal or an image of biofeedback received from the non-face-to-face management server through a display unit; And a photographing unit installed on the exercise unit or the display unit to capture an image of a user who is exercising,
The health management device is spaced from the rear end of the exercise unit to an upper side of the exercise unit and extends in an arch shape, so that the face of the user who is exercising while lying on the exercise unit and looking in the sky direction and the display unit of the display unit face each other. The display unit is connected and installed along the lower side, and an arcuate guide unit that slides while drawing an arch in the front and rear direction; further includes,
The arcuate guide unit may include an arcuate frame that is spaced from a rear end of the movement unit to an upper side of the movement unit and extends in an arc shape; A sliding link having an upper portion seated in a sliding groove extending in a longitudinal direction along a lower side of the arched frame and sliding along the sliding groove; And a bracket installed on the lower side of the sliding link in a state in which the rear surface opposite to the front surface on which the display panel is installed is fastened in the display unit so that the display unit can be mounted under the arched frame, and
The sliding link may include a curved slider formed in a flat plate shape bent in a round shape in response to a curvature of the sliding groove and sliding in the front and rear directions along the sliding groove; A mounting bar extending from a lower side of the curved slider to an upper side of the bracket to mount the bracket; A rack gear installed at least one or more along the lower one side and the other side of the curved slider, and extending along one side and the other bottom surface of the sliding groove on which the lower one side and the other side of the curved slider are seated A sliding gear that is connected and installed in engagement with and rotates in a clockwise or counterclockwise direction to slide the curved slider along the sliding groove; And at least one roller installed along an upper portion of the curved slider, mounted on a sliding rail extending along a ceiling surface of the sliding groove, and moving along the sliding rail,
The arcuate guide portion is formed as a curved frame having a shape corresponding to the shape of the arcuate frame and is installed along the lower side of the arched frame, and a front end supports a lower front end of the arcuate frame, and a rear end is at an upper rear end of the exercise unit. It further includes; a support frame installed to support the arched frame,
The arcuate guide unit rotates the rear end of the arcuate frame installed above the rear end of the exercise unit in a direction in which the front end of the arched frame is raised and lowered when the front end of the arched frame descends downward and the front end of the support frame descends together. Giving frame support; further comprising, a non-face-to-face real-time health and learning management system. delete

Images