KR20210006212A - System for health machine using artificial intelligence - Google Patents
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- 238000000034 method Methods 0.000 claims abstract description 83
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- A—HUMAN NECESSITIES
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- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
- A63B2024/0009—Computerised real time comparison with previous movements or motion sequences of the user
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
- A63B2024/0012—Comparing movements or motion sequences with a registered reference
- A63B2024/0015—Comparing movements or motion sequences with computerised simulations of movements or motion sequences, e.g. for generating an ideal template as reference to be achieved by the user
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Abstract
본 개시에 따른 인공지능 헬스 머신 시스템의 동작 방법은 사용자가 사용 언어를 선택하는 단계, 사용자가 인공지능 헬스 머신 시스템을 활용하여 자신의 신체 유형 및 특성을 판단하는 단계, 사용자가 실행하는 운동 방법을 저장하는 단계, 저장된 운동 방법을 통해 인공지능이 사용자가 운동하려는 운동유형을 인지하는 단계, 운동 유형에 따른 사용자의 운동 방법 데이터 및 사용자에 대해 기존에 평가한 오류 및 개선 방법 데이터를 활용하여 사용자 운동 방법의 오류 및 개선 방법을 인공 지능으로 평가하는 단계, 그리고 오류 및 개선 방법을 사용자에게 전달하고 저장하는 단계를 포함한다.The operating method of the artificial intelligence fitness machine system according to the present disclosure includes a step of selecting a language by a user, a step of determining his body type and characteristics by the user using the artificial intelligence fitness machine system, and an exercise method executed by the user. The step of saving, the step of recognizing the type of exercise the user intends to exercise through the stored exercise method, the user's exercise method data according to the exercise type, and the user's exercise by using the data of the error and improvement method previously evaluated for the user. Evaluating with artificial intelligence the error and improvement method of the method, and transmitting and storing the error and improvement method to the user.
Description
본 발명은 인공지능을 활용하여 운동이나 의학에 관한 지식을 없는 일반인들이 혼자서 개인의 신체 상태에 가장 적절하게, 가장 효율적인 운동을 할 수 있게 인공지능안내를 받아 운동을 할 수 있는 헬스 운동기구 시스템에 관한 것이다.The present invention uses artificial intelligence to provide a fitness exercise equipment system that allows ordinary people without knowledge about exercise or medicine to exercise by receiving artificial intelligence guidance so that they can perform the most appropriate and most efficient exercise for an individual's physical condition by themselves. About.
현재 많은 사람들은 일상에 바빠서 규칙적인 운동을 하지 못 하고 잘못된 자세와 과다한 식생활의 영향으로 신체구조의 불균형과 근육 및 골격의 미발달 등의 육체적인 문제점들을 많이 가지고 있다.Currently, many people cannot exercise regularly because they are busy with daily life, and they have a lot of physical problems such as imbalance of body structure and underdevelopment of muscles and skeleton due to the influence of incorrect posture and excessive diet.
이러한 문제는 우리나라 현대화의 주역으로 바쁜 삶을 살았던 노인층이나 경제적으로 자신의 몸에 관심이나 투자를 할 수 없었던 저소득층에 더욱 심각하게 나타나고 있다. 예를 들면, 가장 필수적인 복근과 등 근육의 부족으로 허리가 휘어져서 도보 및 일상생활이 매우 힘든 경우도 있고, 심한 허리 협착 및 디스크 증세로 일상 생활이 어려운 경우도 있고, 하체 근육의 부족으로 걷기가 힘든 경우도 있고, 어깨나 목 운동의 부족으로 어깨나 목 또는 이로 인해 온몸에 고통과 불편함을 많이 겪는 노인들이 많다. This problem is becoming more serious in the elderly, who lived a busy life as the leading role in the modernization of Korea, or in the low-income class, who could not economically invest in or invest in their own bodies. For example, there are cases where walking and daily life is very difficult due to a bent back due to lack of the most essential abs and back muscles, and in some cases, daily life is difficult due to severe back stricture and disc symptoms, and walking is difficult due to lack of lower body muscles. In some cases, it is difficult, and there are many elderly people who suffer a lot of pain and discomfort in the shoulder or neck or the whole body due to lack of shoulder or neck movement.
또한 자폐나 발달장애 등과 같은 문제로 인해, 대부분의 자폐아나 발달장애인들은 특정 부위의 운동이 부족해서 시간이 지남에 따라 특정 부위의 근육이 부족해지고 이로 인해 자세의 불균형, 배변 활동의 어려움, 걷기나 서는 동작 등과 같은 일상생활의 어려움을 겪고 있고 이로 인해 일반인보다 훨씬 많은 질병을 가지고 힘들게 생활하고 있다.In addition, due to problems such as autism or developmental disabilities, most autistic children or people with developmental disabilities lack exercise in specific areas, and as time goes by, muscles in specific areas become insufficient. This leads to imbalance in posture, difficulty in bowel movements, walking or Standing faces difficulties in daily life, such as movements, and because of this, he is living with a lot more diseases than ordinary people.
이러한 문제점들을 해결하려면 상기의 여러 문제점들로 고통을 받는 대상자가 전문 의료기관의 진단에 따라 수술 등과 같은 의료행위를 받아야 하지만, 고액의 의료비가 필요해서 소득이 거의 없은 노인들이나 지속적인 관리가 필요한 장애인들의 경우에는 이런 혜택을 받기가 어려운 실정이다.In order to solve these problems, the subject suffering from the above problems must undergo medical treatment such as surgery according to the diagnosis of a specialized medical institution, but the elderly who have little income due to the need for high medical expenses or the disabled who need continuous management It is difficult to receive these benefits.
그리고 일반인의 경우에도 자신의 신체가 가지는 문제점을 정확히 인지하고 이에 맞게 적절한 운동을 하여야 하는데, 전문적인 운동이나 재활요법에 대한 지식이 없는 일반인의 경우에는 1개월에 고가의 퍼스널 트레이닝(PT, Personal Training) 비용을 지불하면서 지도를 받아야 하지만 경제적인 여유가 없는 경우 이러한 개인지도를 받을 수 어려워 혼자 잘못된 방법으로 운동을 하다가 어깨, 허리, 골반, 무릎 등을 다쳐서 운동을 지속적으로 하지 못 하거나 그 고통으로 힘든 경우가 빈번히 발생하고 있는 실정이다. In addition, even in the case of ordinary people, it is necessary to accurately recognize the problems of their own body and perform appropriate exercises accordingly. In the case of ordinary people without specialized exercise or rehabilitation knowledge, expensive personal training (PT) ) If you need to receive instruction at the expense of paying, but you cannot afford such tutoring, it is difficult to receive such personal instruction.You may have injured your shoulder, back, pelvis, knee, etc. The situation is occurring frequently.
본 발명이 해결하고자 하는 과제는 생활체육학, 스포츠 재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는 인공지능 헬스 머신 시스템을 제공하는데 있다. The problem to be solved by the present invention is to understand the characteristics of the body structure of an athlete by using various methods such as life sports, sports rehabilitation, artificial intelligence, and motion sensors, and the help of experts to exercise for strengthening muscle strength in a specific area suitable for this. The goal is to provide an artificial intelligence fitness machine system that can be run efficiently by the athlete alone without the risk of injury.
본 발명의 해결과제는 이상에서 언급된 것들에 한정되지 않으며, 언급되지 아니한 다른 해결과제들은 아래의 기재로부터 당업자에게 명확히 이해될 수 있을 것이다.The problem of the present invention is not limited to those mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.
본 발명의 일 측면에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템의 방법으로서, 임의의 사용자가 사용 언어를 선택하는 단계; 사용자가 동 인공지능 헬스 머신 시스템을 활용하여 자신의 신체 유형 및 특성을 판단하는 단계; 동 사용자가 실행하는 운동방법을 기록하는 단계; 저장된 운동방법을 통해 인공지능이 사용자가 운동하려는 운동유형을 인지하는 단계; 동 운동 유형에 따른 사용자의 운동방법 data 및 동 사용자에 대해 기존에 평가한 오류 및 개선방법 data를 활용하여 현재 사용자 운동방법의 오류 및 개선방법을 인공지능으로 평가하는 단계; 상기 오류 및 개선방법을 사용자에게 전달하고 저장하는 단계를 포함할 수 있다.In accordance with one aspect of the present invention, experts help in exercising to strengthen muscle strength in a specific area by identifying the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence, and motion sensors, etc." A method of an artificial intelligence fitness machine system that can be efficiently executed by an athlete alone without receiving a risk of injury, the method comprising: selecting a language used by an arbitrary user; Determining, by the user, his/her body type and characteristics using the artificial intelligence health machine system; Recording an exercise method executed by the user; Recognizing, by the artificial intelligence, the type of exercise the user intends to exercise through the stored exercise method; Evaluating the error and improvement method of the current user's exercise method with artificial intelligence using the exercise method data of the user according to the exercise type and the error and improvement method data previously evaluated for the user; It may include the step of transmitting and storing the error and the improvement method to the user.
일 실시예에 따라, 상기 사용자의 신체 유형을 인지하는 방법은 운동기구에 부착된 센서를 통해 신체의 크기, 무게, 모양, 힘의 강약, 좌우 밸런스 등을 확인하는 방법일 수 있다.According to an embodiment, the method of recognizing the user's body type may be a method of checking the size, weight, shape, strength and weakness of the body, left and right balance, etc. of the body through a sensor attached to an exercise device.
일 실시예에 따라, 상기 사용자의 운동방법을 기록하는 방법은 사진 카메라 촬영에 따른 순간적인 운동자세 이미지일 수 있고, 동영상 카메라 촬영에 따른 일정 시간 동안의 사용자 운동 동작일 수 있다.According to an embodiment, the method of recording the user's exercise method may be an instantaneous exercise posture image according to a photographic camera, or a user exercise operation for a predetermined time according to a video camera.
일 실시예에 따라, 상기 사용자의 신체 유형을 인지하는 방법은 운동기구에 부착된 카메라를 통해 운동자를 촬영하고, 사진이나 동영상과 같은 기존 신체구조에 대한 data 등을 활용하여 인공지능 신체의 크기, 신체의 좌우 밸런스 등을 확인하는 방법일 수 있다. According to an embodiment, the method of recognizing the user's body type includes photographing an athlete through a camera attached to an exercise device, and utilizing data on existing body structures such as photos or videos, the size of an artificial intelligence body, It may be a method of checking the left and right balance of the body.
상기의 인공지능에 따른 사용자 운동유형 판단과 사용자 운동법 평가는 감독(supervised) 학습, 비감독(unsupervised) 학습, 강화(reinforcement) 학습 등의 방법으로, Random Forest, SVM(Support Vector Machine), Clustering 등과 같은 머신러닝(Machine Learning)모형일 수 있다.The user's exercise type determination and user exercise method evaluation according to the artificial intelligence described above are supervised learning, unsupervised learning, reinforcement learning, etc., such as Random Forest, SVM (Support Vector Machine), Clustering, etc. It could be the same machine learning model.
상기의 인공지능에 따른 사용자 운동유형 판단과 사용자 운동법 평가는 CNN(Convolutionary Neural Network), RNN(Recurrent Neural Network) 등의 방법을 포함하는 딥러닝(Deep Learning) 모형일 수 같은 모형일 수 있다. The determination of the user exercise type and the evaluation of the user exercise method according to the artificial intelligence may be a deep learning model including a method such as a Convolutionary Neural Network (CNN) and a Recurrent Neural Network (RNN).
일 실시예에 따라 상기 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템으로 할 수 있는 운동유형에는 바벨 스쿼트, 컨벤셔널 데드리프트, 벤치프레스, 케이블크로스오버, 레그프레스 등의 방법을 포함할 수 있고, 여기에 언급된 것들에 한정되지 않으며, 언급되지 아니한 다른 기법들도 해당함을 당업자는 명확히 이해할 수 있을 것이다.According to an embodiment, by utilizing various methods such as the [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., the characteristics of the body structure of the athlete are identified, and the exercise for strengthening the muscle strength of a specific area appropriate for this is performed by an expert. The types of exercises that can be performed with the artificial intelligence health machine system, which can be performed efficiently by the athlete alone without the risk of injury, include barbell squat, conventional deadlift, bench press, cable crossover, and leg press. It can be, and is not limited to those mentioned herein, it will be clearly understood by those skilled in the art that other techniques not mentioned also correspond.
본 발명의 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 임의의 운동을 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에 따르면, 서민 복지를 위해 고가의 개인 헬스트레이닝 비용을 지불하지 않고도 일반인들이 하고자 하는 운동에 대해서 인공지능의 도움으로 올바른 방법으로 부상의 위험을 대폭 줄이면서 혼자서 저렴하게 운동을 할 수 있다. By utilizing various methods such as [living sports, sports rehabilitation, artificial intelligence, motion sensor, etc.] of the present invention, an exerciser can perform exercises for strengthening muscle strength in a specific area appropriate for this, without the help of experts. According to the artificial intelligence health machine system, which can efficiently perform arbitrary exercise without risk of injury by himself, it is possible to perform exercise that the general public wants with the help of artificial intelligence without paying expensive personal fitness training fees for the welfare of the common people. In the right way, you can exercise on your own inexpensively, while significantly reducing the risk of injury.
본 발명의 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에 따르면, 재활치료나 운동시설이 없는 도시가 아닌 농어촌, 도서벽지 지역에서 노인복지를 위하해 노인층을 대상으로 고가의 개인 헬스트레이닝 비용을 지불하지 않고도 사람들이 하고자 하는 운동에 대해서 인공지능의 도움으로 올바른 방법으로 부상의 위험을 대폭 줄이면서 혼자서 저렴하게 운동을 할 수 있다. By utilizing various methods such as [living sports, sports rehabilitation, artificial intelligence, motion sensor, etc.] of the present invention, an exerciser can perform exercises for strengthening muscle strength in a specific area appropriate for this, without the help of experts. According to the artificial intelligence health machine system, which can be efficiently executed without the risk of injury by himself, expensive personal fitness training for the elderly for the welfare of the elderly in rural areas and islands, not in cities without rehabilitation treatment or exercise facilities. With the help of artificial intelligence, the right way to exercise people wants to exercise without paying for it can be done on their own inexpensively while significantly reducing the risk of injury.
본 발명의 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에 따르면, 자폐나 발달장애인 등과 같이 장애인 복지를 위해 특정한 장애를 지녀 오랜 시간 동안에 특정 운동이 결핍되어 특정 근육이 부족하여 일상생활에 어려움을 겪는 경우에, 고가의 개인 재활치료 비용을 지불하지 않고도 사람들이 하고자 하는 운동에 대해서 인공지능의 도움으로 올바른 방법으로 부상의 위험을 대폭 줄이면서 저렴하게 운동을 할 수 있다.By utilizing various methods such as [living sports, sports rehabilitation, artificial intelligence, motion sensor, etc.] of the present invention, an exerciser can perform exercises for strengthening muscle strength in a specific area appropriate for this, without the help of experts. According to the artificial intelligence health machine system, which can be executed efficiently without the risk of injury by himself, it is difficult for people with autism or developmental disabilities to have a specific disability for the welfare of the disabled. In the event of a hardship, people can exercise inexpensively without paying expensive personal rehabilitation costs, while significantly reducing the risk of injury in the right way with the help of artificial intelligence for the exercise they want to do.
본 발명의 효과는 이상에서 언급된 것들에 한정되지 않으며, 언급되지 아니한 다른 효과들은 아래의 기재로부터 당업자에게 명확하게 이해될 수 있을 것이다.The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.
도 1은 본 발명의 일 실시예에 따른 인공지능 헬스 머신 시스템을 예시한 순서도이다.
도 2 내지 도 6은 본 발명의 일 실시예에 따른 인공지능 헬스 머신 시스템에 따라 운동을 실행할 경우, 동 시스템에서 사용자마다 적절하고 효율적인 운동법과 자세를 제공하기 위해 필요한 올바른 운동법을 예시하는 도면이다.
도 7은 본 발명의 일 실시예에 따른 인공지능 헬스 머신 시스템이 또 다른 운동유형의 하나로 참조해야 할 컨벤셔널 데드리프트에 대한 올바른 운동법에 정보를 설명하는 도면이다.
도 8은 본 발명의 실시예에 따른 인공지능 헬스 머신 시스템이 또 다른 운동유형의 하나로 참조해야 할 벤치프레스에 대한 올바른 운동법에 정보를 설명하는 도면이다.1 is a flow chart illustrating an artificial intelligence health machine system according to an embodiment of the present invention.
2 to 6 are diagrams illustrating a correct exercise method required to provide an appropriate and efficient exercise method and posture for each user in the system when performing an exercise according to the artificial intelligence fitness machine system according to an embodiment of the present invention.
FIG. 7 is a diagram illustrating information on a correct exercise method for a conventional deadlift to be referred to as another exercise type by the artificial intelligence fitness machine system according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating information on a correct exercise method for a bench press to be referred to as another exercise type by the artificial intelligence fitness machine system according to an embodiment of the present invention.
본문에 개시되어 있는 본 발명의 실시예들에 대해서, 특정한 구조적 내지 기능적 설명들은 단지 본 발명의 실시예를 설명하기 위한 목적으로 예시된 것으로, 본 발명의 실시예들은 다양한 형태로 실시될 수 있으며 본문에 설명된 실시예들에 한정되는 것으로 해석되어서는 아니 된다.With respect to the embodiments of the present invention disclosed in the text, specific structural or functional descriptions have been exemplified only for the purpose of describing the embodiments of the present invention, and the embodiments of the present invention may be implemented in various forms. It should not be construed as being limited to the embodiments described in.
이하, 첨부한 도면들을 참조하여, 본 발명의 바람직한 실시예를 보다 상세하게 설명하고자 한다. 도면상의 동일한 구성요소에 대해서는 동일한 참조부호를 사용하고 동일한 구성요소에 대해서 중복된 설명은 생략한다.Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same elements in the drawings, and duplicate descriptions for the same elements are omitted.
도 1은 본 발명의 일 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템 방법을 예시한 순서도이다.1 is an exercise for reinforcing muscle strength in a specific area appropriate for understanding the characteristics of the body structure of an athlete by using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., according to an embodiment of the present invention. This is a flow chart illustrating the method of an artificial intelligence fitness machine system that can be efficiently executed by the athlete alone without the risk of injury without the help of an expert.
도 1을 참조하면, 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템은 사용자를 입력하거나 선택하고 사용하고자 하는 언어를 선택하는 단계(S11)부터 시작할 수 있다. 실시예에 따라 상기 사용자는 회원성명, 회원명, 성별, 주소, 연락처 등의 정보를 포함할 수 있다. 실시예에 따라 상기 언어는 한국어, 영어, 중국어, 프랑스어 등의 언어를 포함할 수 있다.Referring to FIG. 1, by using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., according to an embodiment of the present invention, the characteristics of the body structure of an athlete are identified, and the muscle strength of a specific area suitable for this is strengthened. The artificial intelligence fitness machine system, which can efficiently execute the exercise for the exercise without the help of an expert and without the risk of injury] can start from the step (S11) of inputting or selecting a user and selecting a language to use. Depending on the embodiment, the user may include information such as member name, member name, gender, address, and contact information. According to an embodiment, the language may include languages such as Korean, English, Chinese, and French.
도 1의 단계(S12)는 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 동 시스템을 사용하고자 원하는 사용자의 신체 특성을 조회 또는 판단하고 저장하는 단계이다. 실시예에 따라 상기 신체적 특성은 신장, 몸무게, 좌우균형, 상반신과 하반신의 비율, 팔과 다리의 비율 등과 같은 정보들을 포함할 수 있다.Step (S12) of FIG. 1 is a method of understanding the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., according to an embodiment of the present invention, This is the step of inquiring, judging, and storing the physical characteristics of the user who wants to use the system in an artificial intelligence fitness machine system that can efficiently perform reinforcement exercises without the help of experts and without the risk of injury by the athlete alone. According to an embodiment, the physical characteristics may include information such as height, weight, left and right balance, a ratio of an upper body to a lower body, a ratio of an arm to a leg, and the like.
도 1의 단계(S13)는 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 사용자가 실행하는 임의의 운동방법을 기록하고 저장하는 단계이다. 실시예에 따라 상기 운동방법은 바벨 스쿼트, 컨벤셔널 데드리프트, 벤치프레스, 케이블크로스오버, 레그프레스 등의 운동유형을 포함할 수 있다. 실시예에 따라 상기 운동방법을 기록하는 방법은 카메라를 통한 순간적인 운동자세 사진일 수 있고, 동영상 촬영을 통한 영상 정보일 수 있고, 운동시간이나 운동 방향 등을 나타내는 디지털 정보 등을 포함할 수 있다.Step (S13) of FIG. 1 is to identify the characteristics of the body structure of the exerciser using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc." according to an embodiment of the present invention, This is the step of recording and storing an arbitrary exercise method executed by a user in an artificial intelligence fitness machine system that can efficiently perform an exercise for reinforcement without the help of an expert and without the risk of injury. According to an embodiment, the exercise method may include exercise types such as barbell squat, conventional deadlift, bench press, cable crossover, and leg press. Depending on the embodiment, the method of recording the exercise method may be a momentary exercise posture photo through a camera, image information through video recording, and digital information indicating exercise time or exercise direction, etc. .
도 1의 단계(S14)는 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 상기 사용자의 운동방법 정보를 인공지능이 활용하여 사용자 운동 유형을 판단하는 단계이다. Step (S14) of FIG. 1 is to identify the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., according to an embodiment of the present invention, This is a step in which the user's exercise method information is used by artificial intelligence to determine the user's exercise type in an artificial intelligence fitness machine system that can efficiently perform the exercise for reinforcement without the help of an expert and without the risk of injury. .
실시예에 따라 상기 인공지능은 감독(supervised)학습, 비감독(unsupervised)학습, 강화(reinforcement)학습 등의 방법으로, Random Forest, SVM(Support Vector Machine), Clustering 등과 같은 머신러닝(Machine Learning)모형일 수 있고, CNN(Convolutionary Neural Network), RNN(Recurrent Neural Network) 등의 방법을 포함하는 딥러닝(Deep Learning) 모형 등을 포함할 수 있다.According to an embodiment, the artificial intelligence is a method such as supervised learning, unsupervised learning, reinforcement learning, etc., and machine learning such as random forest, support vector machine (SVM), clustering, etc. It may be a model, and may include a deep learning model including a method such as a convolutionary neural network (CNN) and a recurrent neural network (RNN).
도 1의 단계(S15)는 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 단계 S14에서 판단한 운동유형에 맞는 올바른 운동방법 정보를 활용하여 상기 사용자의 운동 자세와 방법이 적절한지 아니면 오류나 개선점이 있는 지를 인공지능기법을 활용용하여 시스템이 평가하는 단계이다. Step (S15) of FIG. 1 is to identify the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc." according to an embodiment of the present invention, The exercise posture of the user by using the correct exercise method information suitable for the exercise type determined in step S14 in the artificial intelligence fitness machine system that can efficiently perform the exercise for reinforcement without the help of an expert and without the risk of injury by the exerciser alone. This is the step in which the system evaluates whether the method and method are appropriate or whether there are errors or improvements using artificial intelligence techniques.
도 1의 단계(S16)는 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 단계 S15에서 판단한 사용자가 실행하는 운동유형에 대한 사용자의 운동방법에 대한 오류와 개선방법을 사용자에게 전달하고 이를 저장하는 단계이다. 실시예에 따라 상기 전달방법은 AI 음성스피커일 수 있고, 모니터를 통한 문자 정보 등일 수 있다.Step (S16) of FIG. 1 is to identify the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation and artificial intelligence and motion sensors, etc., according to an embodiment of the present invention, An error in the user's exercise method for the type of exercise that the user performs as determined in step S15 in the artificial intelligence fitness machine system that can efficiently perform the exercise for reinforcement without the help of an expert and without the risk of injury] This is the step of delivering the improvement method to the user and storing it. Depending on the embodiment, the delivery method may be an AI voice speaker or text information through a monitor.
도 1의 단계(S14)와 단계(S15)와 관련하여 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템에서 운동 유형별 올바른 운동방법에 대한 정보가 저장된 DB가 필요하다.In relation to the steps S14 and S15 of FIG. 1, the characteristics of the body structure of the athlete are identified using various methods such as [life sports, sports rehabilitation, artificial intelligence, and motion sensors, etc.] according to an embodiment of the present invention. Therefore, a DB storing information on the correct exercise method for each exercise type is needed in an artificial intelligence fitness machine system that allows the exerciser to efficiently perform the exercise for strengthening the muscle strength of a specific area without the help of an expert and without the risk of injury. Do.
도 2는 상기 저장된 운동 유형별 중에서 바벨스쿠트 운동법에 대한 올바른 운동방법을 일 실시예로 나타낸 도면이다. 2 is a diagram showing a correct exercise method for the barbell scoot exercise method among the stored exercise types according to an embodiment.
도 3 내지 도 6은 도 2의 바벨스쿼트 운동법에 따른 올바른 운동자세를 나타내는 도면으로, 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템이 이러한 정보와 비교하여 사용자의 운동방법 및 자세 정보를 인공지능 기법으로 활용하여 사용자의 운동방법을 평가할 수 있다. 3 to 6 are diagrams showing a correct exercise posture according to the barbell squat exercise method of FIG. 2, and an exerciser using various methods such as [life sports, sports rehabilitation and artificial intelligence and motion sensors, etc., according to an embodiment of the present invention. The artificial intelligence health machine system compares this information with this information, so that the exerciser alone can efficiently execute the exercise for strengthening the muscle strength of a specific area appropriate for it by grasping the characteristics of the body structure of The exercise method and posture information of the user can be used as an artificial intelligence technique to evaluate the user's exercise method.
도 7은 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템이 또 다른 운동유형의 하나로 참조해야 할 컨벤셔널 데드리프트에 대한 올바른 운동법에 정보를 설명한 것으로, 상세하게는 컨벤셔널 데드리프트 운동법의 자세와 함께 주의사항들을 설명한 것이다.7 is an exercise for reinforcing muscle strength in a specific area appropriate for this by grasping the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence and motion sensors, etc., according to an embodiment of the present invention. The artificial intelligence health machine system, which can be executed efficiently and without the risk of injury by the athlete alone, without the need for expert assistance, explains information on the correct exercise method for conventional deadlift that should be referred to as another exercise type. Is a description of the posture and precautions of the conventional deadlift exercise.
도 8은 본 발명의 실시예에 따른 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템이 또 다른 운동유형의 하나로 참조해야 할 벤치프레스에 대한 올바른 운동법에 정보를 설명한 것으로, 상세하게는 벤치프레스 운동법의 자세와 함께 주의사항들을 설명한 것이다.8 is an exercise for reinforcing muscle strength in a specific area appropriate for this by grasping the characteristics of the body structure of an athlete using various methods such as [life sports, sports rehabilitation, artificial intelligence, motion sensor, etc., according to an embodiment of the present invention. The artificial intelligence fitness machine system, which can be executed efficiently and without the risk of injury by the athlete alone, without the help of an expert, explains information on the correct exercise method for the bench press, which should be referred to as another exercise type. It explains the posture of the press exercise and the precautions.
상기 부동산 [생활체육학, 스포츠재활학과 인공지능 및 동작센서 등과 같은 다양한 방법을 활용하여 운동자의 신체구조의 특징을 파악하여 이에 적절한 특정 부위의 근력 강화를 위한 운동을 전문가의 도움을 받지 않고도 운동자 혼자서 효율적으로 부상의 위험이 없이 실행할 수 있는] 인공지능 헬스 머신 시스템 방법과 관련하여 본문에 개시되어 있는 본 발명의 실시예들에 대해서, 특정한 구조적 내지 기능적 설명들은 단지 본 발명의 실시예를 설명하기 위한 목적으로 예시된 것으로, 본 발명의 실시예들은 다양한 형태로 실시될 수 있으며 본문에 설명된 실시예들에 한정되는 것으로 해석되어서는 아니 된다.The above real estate [Life sports, sports rehabilitation department, artificial intelligence, motion sensor, etc.] to identify the characteristics of the body structure of the exerciser, and exercise for strengthening the muscle strength of a specific area appropriate for this exercise alone without the help of experts. With respect to the embodiments of the present invention disclosed in the text in relation to the artificial intelligence health machine system method, which can be efficiently executed without the risk of injury, specific structural or functional descriptions are merely for explaining the embodiments of the present invention. As illustrated for the purpose, the embodiments of the present invention may be implemented in various forms and should not be construed as being limited to the embodiments described in the text.
또한 상기에서 기술한 방법에만 한정되지 아니 하고 여기서 기술하지 않은 방법이라 하더라도 본 특허의 범위에 적용을 받을 것이다.In addition, the method is not limited to the above-described method, and even if the method is not described herein, the scope of this patent will be applied.
Claims (1)
사용자가 사용 언어를 선택하는 단계;
상기 사용자가 상기 인공지능 헬스 머신 시스템을 활용하여 자신의 신체 유형 및 특성을 판단하는 단계;
상기 사용자가 실행하는 운동 방법을 저장하는 단계;
저장된 상기 운동 방법을 통해 인공지능이 상기 사용자가 운동하려는 운동유형을 인지하는 단계;
상기 운동 유형에 따른 상기 사용자의 운동 방법 데이터 및 상기 사용자에 대해 기존에 평가한 오류 및 개선 방법 데이터를 활용하여 상기 사용자 운동 방법의 오류 및 개선 방법을 인공 지능으로 평가하는 단계; 및
상기 오류 및 개선 방법을 상기 사용자에게 전달하고 저장하는 단계를 포함하는 방법.As a method of operating an artificial intelligence health machine system,
Selecting a language used by the user;
Determining, by the user, his/her body type and characteristics using the artificial intelligence health machine system;
Storing an exercise method executed by the user;
Recognizing an exercise type in which the user intends to exercise through the stored exercise method;
Evaluating an error and improvement method of the user's exercise method with artificial intelligence by using the exercise method data of the user according to the exercise type and the error and improvement method data previously evaluated for the user; And
Communicating and storing said error and improvement method to said user.
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Cited By (58)
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|---|---|---|---|---|
| US11139060B2 (en) | 2019-10-03 | 2021-10-05 | Rom Technologies, Inc. | Method and system for creating an immersive enhanced reality-driven exercise experience for a user |
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| US11325005B2 (en) | 2019-10-03 | 2022-05-10 | Rom Technologies, Inc. | Systems and methods for using machine learning to control an electromechanical device used for prehabilitation, rehabilitation, and/or exercise |
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| US11348683B2 (en) | 2019-10-03 | 2022-05-31 | Rom Technologies, Inc. | System and method for processing medical claims |
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| US11471729B2 (en) | 2019-03-11 | 2022-10-18 | Rom Technologies, Inc. | System, method and apparatus for a rehabilitation machine with a simulated flywheel |
| US11508482B2 (en) | 2019-10-03 | 2022-11-22 | Rom Technologies, Inc. | Systems and methods for remotely-enabled identification of a user infection |
| US11596829B2 (en) | 2019-03-11 | 2023-03-07 | Rom Technologies, Inc. | Control system for a rehabilitation and exercise electromechanical device |
| KR20230033182A (en) * | 2021-08-30 | 2023-03-08 | 동국대학교 산학협력단 | Sports image display system |
| US11701548B2 (en) | 2019-10-07 | 2023-07-18 | Rom Technologies, Inc. | Computer-implemented questionnaire for orthopedic treatment |
| US11756666B2 (en) | 2019-10-03 | 2023-09-12 | Rom Technologies, Inc. | Systems and methods to enable communication detection between devices and performance of a preventative action |
| US11801423B2 (en) | 2019-05-10 | 2023-10-31 | Rehab2Fit Technologies, Inc. | Method and system for using artificial intelligence to interact with a user of an exercise device during an exercise session |
| US11830601B2 (en) | 2019-10-03 | 2023-11-28 | Rom Technologies, Inc. | System and method for facilitating cardiac rehabilitation among eligible users |
| US11826613B2 (en) | 2019-10-21 | 2023-11-28 | Rom Technologies, Inc. | Persuasive motivation for orthopedic treatment |
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| US11904207B2 (en) | 2019-05-10 | 2024-02-20 | Rehab2Fit Technologies, Inc. | Method and system for using artificial intelligence to present a user interface representing a user's progress in various domains |
| US11915815B2 (en) | 2019-10-03 | 2024-02-27 | Rom Technologies, Inc. | System and method for using artificial intelligence and machine learning and generic risk factors to improve cardiovascular health such that the need for additional cardiac interventions is mitigated |
| US11915816B2 (en) | 2019-10-03 | 2024-02-27 | Rom Technologies, Inc. | Systems and methods of using artificial intelligence and machine learning in a telemedical environment to predict user disease states |
| US11923057B2 (en) | 2019-10-03 | 2024-03-05 | Rom Technologies, Inc. | Method and system using artificial intelligence to monitor user characteristics during a telemedicine session |
| US11923065B2 (en) | 2019-10-03 | 2024-03-05 | Rom Technologies, Inc. | Systems and methods for using artificial intelligence and machine learning to detect abnormal heart rhythms of a user performing a treatment plan with an electromechanical machine |
| US11942205B2 (en) | 2019-10-03 | 2024-03-26 | Rom Technologies, Inc. | Method and system for using virtual avatars associated with medical professionals during exercise sessions |
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| US11950861B2 (en) | 2019-10-03 | 2024-04-09 | Rom Technologies, Inc. | Telemedicine for orthopedic treatment |
| US11955223B2 (en) | 2019-10-03 | 2024-04-09 | Rom Technologies, Inc. | System and method for using artificial intelligence and machine learning to provide an enhanced user interface presenting data pertaining to cardiac health, bariatric health, pulmonary health, and/or cardio-oncologic health for the purpose of performing preventative actions |
| US11955222B2 (en) | 2019-10-03 | 2024-04-09 | Rom Technologies, Inc. | System and method for determining, based on advanced metrics of actual performance of an electromechanical machine, medical procedure eligibility in order to ascertain survivability rates and measures of quality-of-life criteria |
| US11955221B2 (en) | 2019-10-03 | 2024-04-09 | Rom Technologies, Inc. | System and method for using AI/ML to generate treatment plans to stimulate preferred angiogenesis |
| US11955220B2 (en) | 2019-10-03 | 2024-04-09 | Rom Technologies, Inc. | System and method for using AI/ML and telemedicine for invasive surgical treatment to determine a cardiac treatment plan that uses an electromechanical machine |
| US11961603B2 (en) | 2019-10-03 | 2024-04-16 | Rom Technologies, Inc. | System and method for using AI ML and telemedicine to perform bariatric rehabilitation via an electromechanical machine |
| US11957960B2 (en) | 2019-05-10 | 2024-04-16 | Rehab2Fit Technologies Inc. | Method and system for using artificial intelligence to adjust pedal resistance |
| US12020800B2 (en) | 2019-10-03 | 2024-06-25 | Rom Technologies, Inc. | System and method for using AI/ML and telemedicine to integrate rehabilitation for a plurality of comorbid conditions |
| US12020799B2 (en) | 2019-10-03 | 2024-06-25 | Rom Technologies, Inc. | Rowing machines, systems including rowing machines, and methods for using rowing machines to perform treatment plans for rehabilitation |
| US12057237B2 (en) | 2020-04-23 | 2024-08-06 | Rom Technologies, Inc. | Method and system for describing and recommending optimal treatment plans in adaptive telemedical or other contexts |
| US12062425B2 (en) | 2019-10-03 | 2024-08-13 | Rom Technologies, Inc. | System and method for implementing a cardiac rehabilitation protocol by using artificial intelligence and standardized measurements |
| US12087426B2 (en) | 2019-10-03 | 2024-09-10 | Rom Technologies, Inc. | Systems and methods for using AI ML to predict, based on data analytics or big data, an optimal number or range of rehabilitation sessions for a user |
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-
2019
- 2019-07-08 KR KR1020190082236A patent/KR20210006212A/en not_active Withdrawn
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