KR20200111465A - Personalized personal exercise information cloud system using gait pattern recognition based gait recognition - Google Patents

Personalized personal exercise information cloud system using gait pattern recognition based gait recognition Download PDF

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KR20200111465A
KR20200111465A KR1020190031168A KR20190031168A KR20200111465A KR 20200111465 A KR20200111465 A KR 20200111465A KR 1020190031168 A KR1020190031168 A KR 1020190031168A KR 20190031168 A KR20190031168 A KR 20190031168A KR 20200111465 A KR20200111465 A KR 20200111465A
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walking
exercise information
gait
motion recognition
cloud system
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KR1020190031168A
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Korean (ko)
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김민주
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김민주
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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
    • A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2208/00—Characteristics or parameters related to the user or player
    • A63B2208/02—Characteristics or parameters related to the user or player posture
    • A63B2208/0204—Standing on the feet
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00—Measuring physiological parameters of the user
    • A63B2230/62—Measuring physiological parameters of the user posture

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The present invention relates to a personalized exercise information cloud system using walking pattern analysis based on walking motion recognition, and more specifically, a personalized exercise information cloud system using walking pattern analysis based on walking motion recognition capable of measuring a walking gait, a stride, and a foot shape of a user for correction since the stride and the foot shape are different depending on a walking habit of the user, and correcting a posture by providing personalized exercise information to the user through an application based on the measured information and guiding efficient exercise. The present invention comprises: a trade mill; a motion recognition sensor; a personalized exercise information cloud server; and a pedestrian terminal.

Description

보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템 {Personalized personal exercise information cloud system using gait pattern recognition based gait recognition}Personalized personal exercise information cloud system using gait pattern recognition based gait recognition} using walking pattern analysis based on walking motion recognition

본 발명은 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템에 관한 것으로서, 더욱 상세하게는 사용자의 보행습관에 따라 보폭, 걷는 발모양이 각각 다르므로, 이를 교정하기 위하여 사용자의 걷는 보행, 보폭, 발모양을 측정하고, 측정한 정보를 앱을 통해 사용자에게 개인별 맞춤형 운동 정보를 제공함으로써, 효율적인 운동을 가이드하여 자세를 교정할 수 있도록 하기 위한 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템에 관한 것이다.The present invention relates to a personalized exercise information cloud system using gait pattern analysis based on gait motion recognition, and more particularly, since the stride length and the walking foot shape are different according to the user’s gait habit, the user’s walking By measuring gait, stride length, and foot shape, and providing personalized exercise information to the user through the app, using walking motion recognition-based gait pattern analysis to guide efficient exercise and correct posture. It relates to a personalized exercise information cloud system.

사용자의 보행습관에 따라 보폭, 걷는 발모양이 각각 다르므로, 이를 교정하기 위하여 사용자의 걷는 보행, 보폭, 발모양을 측정하고, 측정한 정보를 앱을 통해 사용자에게 개인별 맞춤형 운동 정보를 제공함으로써, 효율적인 운동을 가이드하여 자세를 교정할 수 없었다.Since the stride length and the walking foot shape are different according to the user's walking habit, in order to correct this, the user's walking gait, stride length, and foot shape are measured, and the measured information is provided to the user through the app, providing personalized exercise information. It was not possible to correct posture by guiding efficient exercise.

(선행문헌1) 대한민국특허공개공보 제10-2005-0030269호(Prior Document 1) Korean Patent Publication No. 10-2005-0030269

본 발명은 상기와 같은 문제를 해결하기 위하여 안출된 것으로서, 본 발명의 목적은 사용자의 보행습관에 따라 보폭, 걷는 발모양이 각각 다르므로, 이를 교정하기 위하여 사용자의 걷는 보행, 보폭, 발모양을 측정하고, 측정한 정보를 앱을 통해 사용자에게 개인별 맞춤형 운동 정보를 제공함으로써, 효율적인 운동을 가이드하여 자세를 교정할 수 있도록 하기 위한 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템을 제공하고자 한다.The present invention has been conceived to solve the above problems, and an object of the present invention is that the stride length and the walking foot shape are different according to the user's walking habit. A cloud system for personalized exercise information using walking pattern analysis based on walking motion recognition to guide efficient exercise and correct posture by providing customized exercise information to the user through the app. I want to provide.

본 발명의 실시예에 따른 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템은,Personalized exercise information cloud system using walking pattern analysis based on walking motion recognition according to an embodiment of the present invention,

트레이드밀(100)과,With the trade mill (100),

상기 트레이드밀의 어느 일측에 설치구성되어 보행자의 모션을 감지하기 위한 모션인식센서(200)와,A motion recognition sensor 200 installed on one side of the trade mill and configured to detect the motion of a pedestrian,

상기 모션인식센서로부터 보행자의 모션 감지 정보를 획득하여 보행 패턴을 분석하며 보행패턴의 분석결과 정보를 토데로 걸음별운동정보DB로 부터 개인별 맞춤 운동 정보를 추출하여 보행자 단말기로 추출된 개인별 맞춤 운동 정보를 제공하기위한 개인별맞춤운동정보클라우드서버(300)와,By acquiring the motion detection information of the pedestrian from the motion recognition sensor, the walking pattern is analyzed, and the information of the analysis result of the walking pattern is extracted from the Todero step-by-step exercise information DB, and the personalized exercise information is extracted by the pedestrian terminal. And a personalized exercise information cloud server 300 for providing,

상기 개인별맞춤운동정보클라우드서버로부터 제공된 개인별 맞춤 운동 정보를 탑제된 보행패턴분석앱을 통해 화면에 표출하는 보행자 단말기(400)를 포함한다.And a pedestrian terminal 400 that displays personalized exercise information provided from the personalized exercise information cloud server on the screen through a mounted walking pattern analysis app.

본 발명인 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템에 의하면, 사용자의 보행습관에 따라 보폭, 걷는 발모양이 각각 다르므로, 이를 교정하기 위하여 사용자의 걷는 보행, 보폭, 발모양을 측정하고, 측정한 정보를 앱을 통해 사용자에게 개인별 맞춤형 운동 정보를 제공함으로써, 효율적인 운동을 가이드하여 자세를 교정하는 효과를 발휘하게 된다.According to the personally customized exercise information cloud system using the walking pattern analysis based on the walking motion recognition of the present inventor, the step length and the walking foot shape are different according to the user's walking habit, so to correct this, the user's walking gait, stride length, and foot shape By measuring and providing personalized exercise information to the user through the app, the measured information is effective in guiding efficient exercise and correcting posture.

구체적으로, 사람의 반복되고 정형화된 보행으로부터 몸의 이상징후를 인식할 수 있는 보행 패턴을 분석하여 도출된 값으로 개인별맞춤운동시스템을 제공하여 맞춤형 운동을 활용해 약화된 근육을 활성화 시키고 몸의 불균형을 활성화시켜 자세를 교정하고 몸의 통증을 완화시킨다.Specifically, by analyzing the gait pattern that can recognize abnormal signs of the body from the repeated and standardized walking of a person, a customized exercise system is provided with a value derived to activate weakened muscles using customized exercise, and the body imbalance. By activating the body to correct posture and relieve body pain.

도 1은 본 발명의 실시예에 따른 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템의 전체 구성도이다.1 is an overall configuration diagram of a personalized exercise information cloud system using a walking pattern analysis based on walking motion recognition according to an embodiment of the present invention.

도 1은 본 발명의 실시예에 따른 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템의 전체 구성도이다.1 is an overall configuration diagram of a personalized exercise information cloud system using a walking pattern analysis based on walking motion recognition according to an embodiment of the present invention.

도 1을 참조하여 구체적으로 설명하자면, 상기 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템은,To describe in detail with reference to FIG. 1, the personalized exercise information cloud system using the walking pattern analysis based on the walking motion recognition,

트레이드밀(100)과, 상기 트레이드밀의 어느 일측에 설치구성되어 보행자의 모션을 감지하기 위한 모션인식센서(200)와,The trade mill 100, and a motion recognition sensor 200 for detecting the motion of a pedestrian, which is installed on any one side of the trade mill,

상기 모션인식센서로부터 보행자의 모션 감지 정보를 획득하여 보행 패턴을 분석하며 보행패턴의 분석결과 정보를 토데로 걸음별운동정보DB로 부터 개인별 맞춤 운동 정보를 추출하여 보행자 단말기로 추출된 개인별 맞춤 운동 정보를 제공한다.By acquiring the motion detection information of the pedestrian from the motion recognition sensor, the walking pattern is analyzed, and the information of the analysis result of the walking pattern is extracted from the Todero step-by-step exercise information DB, and the personalized exercise information is extracted by the pedestrian terminal. Provides.

개인별맞춤운동정보클라우드서버(300)로는 예를들어 팔자걸음으로 걷는 사람은 내전근이 약하기 때문에 내전근을 강화해야하는 맞춤형 운동법들이 있다. 헬스장에서 어떤 운동을 해야하는지 몰라 어려움을 겪는 사람들에게 최적화된 서비스.As for the personalized exercise information cloud server 300, for example, a person walking by nasolabial steps has a weak adductor muscle, so there are customized exercise methods that need to strengthen the adductor muscle. This service is optimized for people who are having difficulties because they do not know what exercise to do in the gym.

상기 개인별맞춤운동정보클라우드서버로부터 제공된 개인별 맞춤 운동 정보를 탑제된 보행패턴분석앱을 통해 화면에 표출하는 보행자 단말기(400)를 포함하여 구성되는 것을 특징으로 한다.It characterized in that it comprises a pedestrian terminal 400 that displays on the screen through a walking pattern analysis app mounted on the personalized exercise information provided from the personalized exercise information cloud server.

보행자 단말기로 보행모션인식 기반의 보행 패턴을 분석 하여 이용한 개인별 맞춤 운동정보 클라우드시스템을 통해 운동정보를 제공한다.Exercise information is provided through a personalized exercise information cloud system that is used by analyzing the walking pattern based on walking motion recognition with a pedestrian terminal.

100 : 트레이드밀
200 : 모션인식센서100: Trade Mill
200: motion recognition sensor

Claims (1)

보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템에 있어서,
트레이드밀(100)과,
상기 트레이드밀의 어느 일측에 설치구성되어 보행자의 모션을 감지하기 위한 모션인식센서(200)와,
상기 모션인식센서로부터 보행자의 모션 감지 정보를 획득하여 보행 패턴을 분석하며 보행패턴의 분석결과 정보를 토데로 걸음별운동정보DB로 부터 개인별 맞춤 운동 정보를 추출하여 보행자 단말기로 추출된 개인별 맞춤 운동 정보를 제공하기위한 개인별맞춤운동정보클라우드서버(300)와,
상기 개인별맞춤운동정보클라우드서버로부터 제공된 개인별 맞춤 운동 정보를 탑제된 보행패턴분석앱을 통해 화면에 표출하는 보행자 단말기(400)를 포함하여 구성되는 것을 특징으로 하는 보행모션인식 기반의 보행 패턴 분석을 이용한 개인별 맞춤 운동정보 클라우드시스템.In the personalized exercise information cloud system using walking pattern analysis based on walking motion recognition,
With the trade mill (100),
A motion recognition sensor 200 installed on one side of the trade mill and configured to detect the motion of a pedestrian,
By acquiring the motion detection information of the pedestrian from the motion recognition sensor, the walking pattern is analyzed, the analysis result information of the walking pattern is extracted from the Todero step-by-step exercise information DB, and the personalized exercise information is extracted to the pedestrian terminal. And a personalized exercise information cloud server 300 for providing,
Using a walking pattern analysis based on walking motion recognition, characterized in that it comprises a pedestrian terminal 400 that displays on the screen through a walking pattern analysis app mounted with personalized exercise information provided from the personalized exercise information cloud server. Personalized exercise information cloud system.
KR1020190031168A 2019-03-19 2019-03-19 Personalized personal exercise information cloud system using gait pattern recognition based gait recognition KR20200111465A (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050030269A (en) 2003-09-25 2005-03-30 (주)두모션 Gait capture system and method for analyzing gait using the same

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050030269A (en) 2003-09-25 2005-03-30 (주)두모션 Gait capture system and method for analyzing gait using the same

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