KR20090058803A - Method for learning video exercise - Google Patents
Method for learning video exercise Download PDFInfo
- Publication number
- KR20090058803A KR20090058803A KR1020070125565A KR20070125565A KR20090058803A KR 20090058803 A KR20090058803 A KR 20090058803A KR 1020070125565 A KR1020070125565 A KR 1020070125565A KR 20070125565 A KR20070125565 A KR 20070125565A KR 20090058803 A KR20090058803 A KR 20090058803A
- Authority
- KR
- South Korea
- Prior art keywords
- posture
- exercise
- exercise posture
- image
- video
- Prior art date
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Classifications
-
- 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
-
- 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
Abstract
Description
The present invention relates to a video exercise instruction method that tells a trainee who follows a reference posture provided by a diet or yoga (health) video whether a posture he or she is correct or a wrong posture.
Recently, as awareness of health has increased, diets or yoga health videos containing their own know-hows of celebrities who have succeeded in dieting or managing their bodies have been released. These videos have gained popularity among office workers and students who can't afford time and money because they have the advantage of exercise effects and the ability to follow comfortably at home, regardless of time.
However, the benefits of following a diet or yoga health video alone can sometimes be a disadvantage. Alone exercise is difficult to take the correct posture because it does not point out their own posture, such as in a fitness club or diet yoga (health) academy, it is easy to roughly or give up on the way if a difficult action to follow on the screen. In addition, since they are not dependent on time, they cannot control their wills regularly and cannot exercise regularly. It is easy to lose interest.
The present invention was developed to solve the above problems, the trainees who follow the posture that serves as a reference provided in the diet or yoga (health) video can know whether the posture that they follow is the correct posture or wrong posture The goal is to provide more accurate and interesting video exercise instruction by providing feedback.
The first embodiment of the video exercise teaching method of the present invention for this purpose is
Comparing the skeleton region of the human body along a predetermined exercise posture in the photographed image and the motion trajectory area in the reference image having the same exercise posture from the plurality of reference images stored for each exercise posture, the motion trajectory And displaying the number of pixels of the skeleton region completely contained in the region and the number of pixels of the skeleton region outside the motion trajectory region upon inputting a display command.
According to the second embodiment of the video exercise teaching method of the present invention
Coordinate values of each part of the human body following a predetermined exercise posture in the photographed image, and coordinate values of each part of the body in the reference image having the same exercise posture among the plurality of reference images stored for each exercise posture by body part Comparing step, the result of the comparison, if the number of matching coordinate value is more than the set number characterized in that it comprises a step of outputting a praise comment, if less than the encouragement comment.
The result of the comparison, if the number of matching coordinates is more than the set number further comprises the step of displaying a compliment message, if less than the encouragement message, video exercise instruction method.
After outputting the praise comment, if the number of trials of the exercise posture has passed the set number of times, repeating the step of repeating until there is no next exercise posture image to display the next exercise posture image Characterized in that the made up.
After the step of outputting the encouragement comment, and re-display the corresponding exercise posture image, if the number of trials of the exercise posture has passed the set number of times, the step of ending the video exercise program, characterized in that further comprises.
The present invention can be corrected by telling the trainees following the posture that is provided in the diet or yoga (health) video whether the posture they took is the correct posture or wrong posture, By intriguing the movements that were used to induce continuous exercise to increase the exercise effect.
Hereinafter, with reference to the accompanying drawings will be described the present invention.
The video exercise class system of FIG. 1 is a video exercise class system of the first embodiment to which the present invention, which consists of the
The video exercise class apparatus of FIG. 2 is an example of a video exercise class apparatus to which the present invention is applied, such as a
The operation of the video exercise class apparatus is as follows.
First, the
Next, a skeleton portion is extracted from the participant's body in the digital image using a motion recognition algorithm (eg, a pattern recognition algorithm).
In addition, the
The plurality of reference images are stored one by one for various exercise postures (eg, bow posture, half moon posture, etc.).
Next, the motion trajectory area of the video instructor in the read reference image is compared with the skeleton partial area of the subject body.
Subsequently, the number of pixels of the skeleton portion completely included in the motion trajectory region of the video instructor and the number of pixels of the skeleton portion outside the motion trajectory region are obtained and stored in the
Then, when the display key is input, that is, after the exercise is finished, the
In doing so, the trainee learns whether the posture he or she has followed is correct or incorrect.
The UI (User Interface) of FIG. 3 is an example of a UI (User Interface) provided by the video exercise class apparatus of FIG. 2, and the skeleton portion extracted from the subject's body along a predetermined exercise posture (eg, sit-up posture) ( In S), the portion of the skeleton completely included in the motion trajectory region of the video instructor in the same posture and the portion of the skeleton outside the motion trajectory are indicated.
The video exercise class system of FIG. 4 is a video exercise class system of the second embodiment to which the present invention, which consists of an
More specifically with reference to Figure 3, the operation will be described as follows.
First, the
Next, the coordinate values of each part of the trainee's body (eg, head, neck, chest, arms, knees, feet, etc.) in the converted digital image are extracted.
The
The plurality of reference images are stored for various exercise postures (eg, bow posture, half moon posture).
Next, it is determined whether a coordinate value of each part of the body (for example, the video instructor body) in the reference image matches the coordinate value of each part of the subject body.
As a result of the determination, when the number of matching coordinate values is less than the set number, the
The
On the other hand, if the number of matching coordinate values is greater than or equal to the set result, the
The
Doing so informs the trainee whether the posture he or she is following is correct or incorrect.
The video exercise teaching method of FIG. 5 is completely included in the motion trajectory area of the video instructor who takes the same posture as the subject followed by the participant's body along the predetermined exercise posture (eg, bow posture). After calculating and storing the number of pixels of the skeleton portion and the number of pixels of the skeleton portion outside the motion trajectory (S500 ~ S502), and displaying them on the screen after the end of the exercise (S503 ~ S504), the exercise followed by the trainees Indicate whether your posture is correct or incorrect.
The video exercise class method of FIG. 6 includes coordinates of each part of the subject's body (eg, head, chest, arms, knees, feet, etc.) along a predetermined exercise position (eg, half moon position), and the learner's follow-up. If the number of coordinates of each part of the body of the video instructor who has the same posture as the posture is equal to or greater than the set number, the complimentary comment or message is output if the number is less than the set number (S600 to S605). This exercise posture tells you whether it is correct or incorrect.
In addition, after outputting a compliment or a message, if the number of trials of the exercise posture has passed the set number of times (e.g., the number of consecutive inputs of the image frame photographing the person who performed the bow motion has passed the set number of times). In one case, an image showing the next exercise posture (eg, half moon posture) is displayed.
After outputting an encouragement message or a message, an image indicating the exercise posture is displayed again, and when the number of trials of the exercise posture has elapsed a set number of times (e.g., the number of times the encouragement message or comment is output is a set number of times) Elapsed) End the video exercise program.
1 is a video exercise instruction system diagram of a first embodiment to which the present invention is applied
Figure 2 is a block diagram of a video exercise training apparatus to which the present invention is applied
FIG. 3 is a UI (User Interface) provided by the video exercise class apparatus of FIG. 2.
Figure 4 is a video exercise training system diagram of a second embodiment to which the present invention is applied
5 is a flowchart showing a video exercise instruction method according to the first embodiment of the present invention.
6 is a flowchart showing a video exercise teaching method according to a second embodiment of the present invention.
Explanation of symbols on the main parts of the drawings
100, 400:
102, 402: image display device S: skeleton portion
201: Camera 202: Motion Detector
203: Memory 204: Display
205: voice IC 206: control unit
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070125565A KR20090058803A (en) | 2007-12-05 | 2007-12-05 | Method for learning video exercise |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020070125565A KR20090058803A (en) | 2007-12-05 | 2007-12-05 | Method for learning video exercise |
Publications (1)
Publication Number | Publication Date |
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KR20090058803A true KR20090058803A (en) | 2009-06-10 |
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Family Applications (1)
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KR1020070125565A KR20090058803A (en) | 2007-12-05 | 2007-12-05 | Method for learning video exercise |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160054882A (en) * | 2014-11-07 | 2016-05-17 | 류현수 | Method for providing walfare call service |
CN112885465A (en) * | 2021-02-23 | 2021-06-01 | 中山大学附属第一医院 | Motion data analysis method, device, system and computer readable storage medium |
-
2007
- 2007-12-05 KR KR1020070125565A patent/KR20090058803A/en not_active Application Discontinuation
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160054882A (en) * | 2014-11-07 | 2016-05-17 | 류현수 | Method for providing walfare call service |
CN112885465A (en) * | 2021-02-23 | 2021-06-01 | 中山大学附属第一医院 | Motion data analysis method, device, system and computer readable storage medium |
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