KR20160138682A - Active Spinning Training System using Complex Physiological Signals - Google Patents

Active Spinning Training System using Complex Physiological Signals Download PDF

Info

Publication number
KR20160138682A
KR20160138682A KR1020150072834A KR20150072834A KR20160138682A KR 20160138682 A KR20160138682 A KR 20160138682A KR 1020150072834 A KR1020150072834 A KR 1020150072834A KR 20150072834 A KR20150072834 A KR 20150072834A KR 20160138682 A KR20160138682 A KR 20160138682A
Authority
KR
South Korea
Prior art keywords
user
spinning
sensor
exercise
wave
Prior art date
Application number
KR1020150072834A
Other languages
Korean (ko)
Inventor
김철민
강경헌
박윤수
강임철
윤재홍
Original Assignee
동신대학교산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 동신대학교산학협력단 filed Critical 동신대학교산학협력단
Priority to KR1020150072834A priority Critical patent/KR20160138682A/en
Publication of KR20160138682A publication Critical patent/KR20160138682A/en

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B22/00Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
    • A63B22/06Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0075Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0087Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user
    • A63B2230/04Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user
    • A63B2230/08Measuring physiological parameters of the user other bio-electrical signals
    • A63B2230/10Measuring physiological parameters of the user other bio-electrical signals electroencephalographic signals

Landscapes

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

Abstract

The present invention provides a spin training image suitable for a user by analyzing a user's body condition and exercise information using a bio-signal obtained from an operation sensor, brain wave sensor, pulse wave sensor, and rotation sensor attached to a spin bicycle An active spinning training system, comprising: a display device for reproducing a user-customized spinning training image; A memory device in which the spinning training image content is stored; An operation sensor installed in the display device and sensing movement of the user; A brain wave sensor mounted on the user's head for measuring the concentration and stability; A pulse wave sensor mounted on a user's wrist for measuring a pulse rate; A rotation sensor for measuring the number of revolutions of the spin bike and the disk drum on which the user is boarding; And a data collection device for collecting signal data of the motion sensor, brain wave sensor, pulse wave sensor, and rotation sensor; And controlling the spinning training image contents by analyzing the user's living body state and exercise information acquired by the data collection device. Thus, the present invention has the effect of improving the health and exercise ability of the exercise participant by allowing the spinning exercise to be learned and experienced in accordance with the individual situation.

Description

[0001] The present invention relates to an Active Spinning Training System using complex bio-signals,

[0001] The present invention relates to an active training training system using bio-signals, and more particularly, to an active training training system using motion sensors for detecting movement of a user, an electroencephalogram sensor for measuring concentration and stability, a pulse wave sensor for measuring pulse rate, The present invention relates to a spinning training system for analyzing a user's biological condition and exercise information through a bio-signal obtained from a rotation sensor for measuring the number of revolutions of a disk drum, and then providing a spinning training 3D VR content suitable for an individual level through a display device .

Spinning exercises use spin bikes to move up, down, left, right, and wave with the upper body in accordance with the exciting music, and the lower body sits in the saddle or undergoes a change in the standing posture to make arms, legs, abdomen, waist, It is possible to produce exercise effect of various parts.

Therefore, the spinning exercise is very difficult to take off the hip in the saddle spin bicycle movement is difficult to perform a high degree of difficulty to be easily injured, and the spinning movement to match the excitement of the movement of the group mobility of the nature of the character When swept away, it overlooks personal fitness and joint state.

On the other hand, the spinning movement is a group exercise program (Group Exercise Progame, GX) where two or more participants gather in one space under the guidance of a professional instructor and move to music. The group exercise program has a limitation that it is difficult to learn by oneself in a personal place because a group of exercise participants are performed in a group form following the action of the instructor centered on the instructor. In addition, it is not possible to construct the program of difficulty according to the level of all the participants of the exercise, and it is difficult for the individual to perform the appropriate operation instruction, thereby reducing the participation of the beginner.

Generally speaking, the spinning bicycle system has no function to store the information of the user's body condition and movement state, and is a simple spin bicycle structure that can be used under the guidance of a professional instructor.

Korean Patent Publication No. 10-2014-0146787 (Publication date: December 29, 2014)

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems, and its object is to provide a method and apparatus for a user to learn and participate in a spinning exercise actively without guidance of a lecturer according to his or her level in a personal place, And to improve the health and athletic performance of the athlete through an active spinning training system that can provide the spinning training contents suitable for the individual level.

Specifically, the present invention provides a system for providing and displaying a spinning training content at a level suitable for a user state by acquiring and analyzing a user's biometric state and exercise information using an operation sensor, brain wave sensor, pulse wave sensor, and rotation sensor.

The present invention relates to a system for providing active spinning training contents using a complex bio-signal. The system analyzes the biological state through an EEG signal and a pulse wave signal including a user's concentration and stability, recognizes the skeletal motion in real time, To provide the spinning image contents of the difficulty level suitable for the athlete. It is a bike system that expects realistic feeling to ride on a real bicycle from outside while using a training bicycle indoors. This has the effect of improving the health and athletic ability of the participants by allowing them to learn and experience the spinning exercise according to their personal situation.

In order to accomplish the above object, the present invention provides a sensory-type bicycle simulator system, comprising: a sensor for detecting a user's body motion using a motion sensor, a brain wave sensor, a pulse wave sensor, The present invention relates to an active spinning training system for analyzing a biological condition and exercise information to provide a spinning training image suitable for a user, the system comprising: a display device for reproducing a user-customized spinning training image; A memory device in which the spinning training image content is stored; An operation sensor installed in the display device and sensing movement of the user; A brain wave sensor mounted on the user's head for measuring the concentration and stability; A pulse wave sensor mounted on a user's wrist for measuring a pulse rate; A rotation sensor for measuring the number of revolutions of the spin bike and the disk drum on which the user is boarding; And a data collection device for collecting signal data of the motion sensor, brain wave sensor, pulse wave sensor, and rotation sensor; And controlling the spinning training image contents by analyzing the user's living body state and exercise information acquired by the data collection device.

According to the present invention, in the spinning exercise, a system is provided in which an exercise participant can actively learn in a personal place without teaching a lecturer according to his or her level.

That is, the present invention collects and analyzes the brain wave information (concentration and stability), the pulse wave information (pulse rate per minute), and the motion information (the accuracy of the user's dance information) acquired from the brain wave sensor, the pulse wave sensor, the rotation sensor and the motion sensor By reflecting on the spinning training image contents, it is effective to improve the health and exercise ability by providing the training contents to the individual level of the exercise participants.

1 is a block diagram of an active spinning training system using a complex bio-signal according to an embodiment of the present invention;
2 is a block diagram of an active spinning training system using complex bio-signals according to an embodiment of the present invention.
3 is a view showing an embodiment of an active spinning training system using a complex bio-signal of the present invention.
4 is a customized image content reproduced on a display device according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. In the following detailed description of the preferred embodiments of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The same or similar reference numerals are used throughout the drawings for portions having similar functions and functions.

Also, to "include" an element means that it may include other elements, rather than excluding other elements, unless specifically stated otherwise.

1 and 2 are a block diagram and a block diagram of an active spinning training system using complex bio-signals according to an embodiment of the present invention.

Referring to the drawings, an active spinning training system using a complex bio-signal of the present invention includes a spin bicycle 100, a control device 101, a display device 102, an operation sensor 103, an EEG sensor 104, A rotation sensor 105, a rotation sensor 106, a data acquisition device 107, and a memory device 108.

The electroencephalogram sensor 104 analyzes the electroencephalogram component spectrum using a non-invasive scalp electrode and measures the frequency of the electroencephalogram component by the delta wave, theta wave, the alpha wave, the beta wave, the gamma wave, the SMR wave, And a stability (a relaxation level).

The pulse wave sensor 105 is a wristwatch type pulse wave sensor that acquires a white waveform of a skin blood vessel and measures a heartbeat signal according to a change in the amount of light. And a heart rate (bpm) per minute is calculated from the measured heart rate signal.

The rotation sensor 106 mounted on the spinning bicycle 100 measures the calories consumed by the rotation speed of the spin bike pedal and the disk drum.

The brain-wave characteristic values (concentration, stability) thus extracted are combined with the heart rate and the calorie consumption information to determine the bio-state level value.

The motion sensor 103 collects the skeleton data of the participant and detects the spinning dance operation. The motion sensor 103 compares the spinning dance operation data of the instructor stored in advance with the stored exercise participant operation data .

Specifically, spinning is a movement that performs a given task in accordance with the rhythm of music, and music and rhythm are the main factors. In spinning training, input data for obtaining exercise information is motion information of a participant of movement, The level of the spinning operation can be determined. Accordingly, the motion information of the spinning participant is recognized, and the motion information (operation accuracy) of the exercise participant is calculated by comparing the joint angles that are located at specific positions of the spinning dance music.

The data collecting device 107 collects signals transmitted from the sensor through wireless communication and transmits the collected signals to the control device 101.

The control device 101 analyzes the signal data acquired by the data acquisition device 107 and calculates the bio-state (EEG concentration / stability, pulse rate per minute) and exercise information (motion accuracy, consumed calorie information) .

The display device 102 reproduces a spinning training 3D VR (Virtual Reality) image content according to a control command of the control device 102.

Accordingly, the memory device 108 stores and operates not only spinning training VR (Virtual Reality) image contents but also programs used for operating the entire system of the present invention.

At this time, the user reality skeleton information 209, the spinning dance follow-up information 202, the exercise distance 203, the exercise speed 204, the consumed calorie 205, the exercise accuracy 206, , And emotion state (brain wave state) information 208 are included.

The spin bicycle 100 may be configured as a general spin bicycle type. The spin bicycle 100 is provided with a rotation sensor 106 and a data collection device 107.

Next, the operation of the active training training system using the complex bio-signal of the present invention will be described.

In the system of the present invention, a user (an athlete participant) follows a basic spinning operation through the spinning training image content presented on the display device 102 after sitting on the spin bike 100.

In this state, the user (the motion participant) operates the rotation sensor 106 while depressing the pedal, and transmits the rotation signal to the data acquisition device 107.

In addition, if the spinning dance operation presented in the image content is followed, the motion sensor 103 detects the spinning dance operation of the user (movement participant) and transmits it to the data collection device 107.

In addition, the brain wave sensor 104 transmits the brain wave state information (brain wave concentration / stability) and the pulse wave data from the pulse wave sensor 105 to the data collection device 107.

In this state, the biometric information and the exercise information acquired by the data collection device 107 are integrated and transmitted to the control device 101, and the bio-information and exercise information of the user (exercise participant) .

The personal state information of the user thus determined is reflected in real time on the spinning training 3D VR (Virtual Reality) image content stored in the memory device 108 included in the control apparatus 101 to transmit the spinning dance follow information 202 to the user ) Level.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: Spin Bike
101: Control device
102: display device
103: motion sensor
104: EEG sensor
105: pulse wave sensor
106: rotation sensor
108: memory device

Claims (5)

A display device for reproducing a user-customized spinning training image;
A memory device in which the spinning training image content is stored;
An operation sensor installed in the display device and detecting movement of the user;
An electroencephalogram sensor mounted on the user's head for measuring a concentration and a stability;
A pulse wave sensor mounted on the wrist of the user to measure a pulse rate;
A rotation sensor for measuring the number of revolutions of the spin bike and the disk drum aboard the user;
A data collection device for collecting signal data of the motion sensor, brain wave sensor, pulse wave sensor, and rotation sensor; And
And a control device for analyzing the user's living body state and exercise information obtained from the data collection device and controlling the spinning training image contents.
The method according to claim 1,
The electroencephalogram sensor analyzed the EEG component spectrum of the EEG using a noninvasive scalp electrode, and then analyzed the EEG characteristics of the exercise participants using the delta wave, theta wave, the alpha wave, the beta wave, the gamma wave, the SMR wave, Tense relaxation level)
Wherein the pulse wave sensor is a wristwatch type that acquires a white waveform of a skin blood vessel, measures a heartbeat signal according to a change in light amount, calculates a heart rate per minute (bpm) in the measured heartbeat signal,
Wherein the rotation sensor mounted on the spinning bicycle measures the calories consumed by the rotation speed of the spin bike pedal and the disk drum.
The method according to claim 1,
The motion sensor collects the skeleton data of the exercise participant to detect the spinning dance operation and measures the operation agreement rate through comparison between the spinning dance operation data of the instructor stored in advance and the exercise participant operation data collected in real time Active spinning training system using complex bio-signal.
The method according to claim 1,
(EEG concentration / stability, pulse rate per minute) and exercise information (operation accuracy, consumed calorie information) of the exercise participants by analyzing the signal data acquired by the data collection device Active spinning training system using bio - signals.
The method according to claim 1,
The display device reproduces the spinning training 3D VR (Virtual Reality) image contents according to a control command of the controller,
Wherein the 3D VR (Virtual Reality) image content includes user skeleton information, spinning dance following information, exercise distance, exercise speed, calorie consumption, motion accuracy, and emotion state (brain wave state) Active spinning training system.
KR1020150072834A 2015-05-26 2015-05-26 Active Spinning Training System using Complex Physiological Signals KR20160138682A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150072834A KR20160138682A (en) 2015-05-26 2015-05-26 Active Spinning Training System using Complex Physiological Signals

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150072834A KR20160138682A (en) 2015-05-26 2015-05-26 Active Spinning Training System using Complex Physiological Signals

Publications (1)

Publication Number Publication Date
KR20160138682A true KR20160138682A (en) 2016-12-06

Family

ID=57576571

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150072834A KR20160138682A (en) 2015-05-26 2015-05-26 Active Spinning Training System using Complex Physiological Signals

Country Status (1)

Country Link
KR (1) KR20160138682A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180092533A (en) * 2017-02-09 2018-08-20 한림대학교 산학협력단 Meditaiton supporting system
KR102120001B1 (en) * 2019-02-25 2020-06-05 김애주 Method and system for providing attention intensive conscious control service based on virtual reality
KR20200082990A (en) * 2018-12-31 2020-07-08 동서대학교 산학협력단 fitness management method through VR Sports
KR20220145989A (en) 2021-04-22 2022-11-01 주식회사 타고 Spining bike applied the internet of things
KR20220147164A (en) * 2021-04-26 2022-11-03 주식회사 유니브이알 Rhythmic Interior Bike System
KR20220167466A (en) * 2021-06-14 2022-12-21 동서대학교 산학협력단 Exercise equipment system for correct body shape
KR20230076461A (en) 2021-11-24 2023-05-31 상명대학교산학협력단 System for determining motion fitness of athlete in non-face-to-face spinning training

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140146787A (en) 2013-06-18 2014-12-29 주식회사 와이씨티 Spinning bicycle

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140146787A (en) 2013-06-18 2014-12-29 주식회사 와이씨티 Spinning bicycle

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180092533A (en) * 2017-02-09 2018-08-20 한림대학교 산학협력단 Meditaiton supporting system
KR20200082990A (en) * 2018-12-31 2020-07-08 동서대학교 산학협력단 fitness management method through VR Sports
KR102120001B1 (en) * 2019-02-25 2020-06-05 김애주 Method and system for providing attention intensive conscious control service based on virtual reality
KR20220145989A (en) 2021-04-22 2022-11-01 주식회사 타고 Spining bike applied the internet of things
KR20220147164A (en) * 2021-04-26 2022-11-03 주식회사 유니브이알 Rhythmic Interior Bike System
KR20220167466A (en) * 2021-06-14 2022-12-21 동서대학교 산학협력단 Exercise equipment system for correct body shape
KR20230076461A (en) 2021-11-24 2023-05-31 상명대학교산학협력단 System for determining motion fitness of athlete in non-face-to-face spinning training

Similar Documents

Publication Publication Date Title
KR20160138682A (en) Active Spinning Training System using Complex Physiological Signals
Miller NSCA's Guide to Tests and Assessments
Bergamini et al. Wheelchair propulsion biomechanics in junior basketball players: A method for the evaluation of the efficacy of a specific training program
JP2005526529A (en) Apparatus, method and computer program product for generating or deriving a time-correlated movement that cooperates with physiological activity
CN106068097A (en) Integrate the seat having sensor
KR101123131B1 (en) Abdominal breathing guidance apparatus
Cardona et al. Modulation of physiological responses and activity levels during exergame experiences
CN102228379A (en) Balance detection system
CN110720908B (en) Muscle injury rehabilitation training system based on vision-myoelectricity biofeedback and rehabilitation training method using system
KR20130132071A (en) Smart meditate respiration device
Gauthier et al. Human movement quantification using Kinect for in-home physical exercise monitoring
CN110251100B (en) Pulse diagnosis instrument
CN209203256U (en) View-based access control model-EMG biofeedback muscle damage rehabilitation training system
RU97928U1 (en) TRAINING APPARATUS
RU2329028C2 (en) Method of diagnostics and method of correction of human psychophysiological condition
Jillich Acquisition, analysis and visualization of data from physiological sensors for biofeedback applications
JP7356666B2 (en) Program, information processing device, and information processing method
JP7333537B2 (en) Program, information processing device, and information processing method
JP7240052B1 (en) Information processing system, server, information processing method, program and learning model
TWI796035B (en) Biochemical evaluation system and biomechanical sensor and biomechanical evaluation platform thereof
US20230316614A1 (en) System and method for generating a virtual avatar representing a plurality of users
Yu et al. Multimedia feedback for improving breathing habit
US20240001193A1 (en) System and method for targeted neurological therapy using brainwave entrainment with passive treatment
Byzova Real-time monitoring of human body during horseback riding utilizing a horse simulator
Nakamura et al. Applying neural network to VO 2 estimation using 6-axis motion sensing data

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E601 Decision to refuse application