CN114558313B - Action recognition and scoring method for strength training instrument - Google Patents
Action recognition and scoring method for strength training instrument Download PDFInfo
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- CN114558313B CN114558313B CN202210235052.1A CN202210235052A CN114558313B CN 114558313 B CN114558313 B CN 114558313B CN 202210235052 A CN202210235052 A CN 202210235052A CN 114558313 B CN114558313 B CN 114558313B
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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
- 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
- A63B71/0669—Score-keepers or score display devices
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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
- A63B2024/0012—Comparing movements or motion sequences with a registered reference
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a motion recognition and scoring method for a strength training instrument, which relates to the technical field of training auxiliary devices, and comprises the following steps: testing to determine a limit weight RM and determining a training target reference weight M; generating a complete training set according to indexes of the limit weight RM and the reference weight M; generating a minimum starting dead zone L1 of the training instrument according to the attribute of the training instrument; scoring the quality of each action stage and each action completion of the strength instrument training by comparing the standard curve graph with the user training curve graph; accurately quantifying and storing data of the total quantity of motion; by repeating the steps, the strength instrument can detect and score the quality of the training actions of the user, and the user can find out the problems in the training in time and correct the problems in time. The data analysis is realized only by using the algorithm realized by the conventional chip, the operation and the running are simple, the cost is reduced, and the method can be widely popularized and used.
Description
Technical Field
The invention relates to the technical field of training auxiliary devices, in particular to a motion recognition and scoring method for a strength training instrument.
Background
The existing strength training apparatus can only collect the moving load and the number of times, can not detect whether the requirement of the action quality is met in the actual use, namely, can not analyze the problems in the action, and can not give reasonable scores.
The method for analyzing the actions has the advantages of complex structure, high cost and complicated use, and is difficult to popularize and use in a large scale due to the conventional camera vision scheme and the wearable sensor scheme.
The invention patent with the prior publication number of CN114011045A discloses a training action counting method based on wearable equipment and the wearable equipment, wherein the wearable equipment is provided with an inertial measurement unit, and the method comprises the following steps: step 1, acquiring six-axis data through an inertial measurement unit and calculating three attitude angle data; step 2, selecting an attitude angle, and fitting a sinusoidal curve according to the data of the selected attitude angle; step 3, after the fitting of a single action period is completed, judging whether characteristic parameters of a sinusoidal curve fitted in the single action period conform to a preset standard range, if so, adding 1 to the training action count; if not, the training action count is unchanged, and the characteristic parameters comprise one or more of a single action period angle difference range, a single action period time length, a single action period curve symmetry degree and a single action period curve two-end point difference amplitude.
The technical scheme provides a training action counting method based on wearable equipment and the wearable equipment, wherein the characteristic parameters of the sinusoidal curve comprise one or more of a single action period angle difference range, a single action period time length, a single action period curve symmetry degree and a single action period curve two-end point difference amplitude.
In this embodiment, the action counting module is further configured to: when the characteristic parameters of the fitted sinusoidal curves in n continuous action periods appear for the first time all accord with a preset standard range, and the duration of the n action periods accord with a preset time length, the first action in the n actions is recorded as an initial action, the initial action is counted, and n is more than or equal to 2.
And in the first n continuous action periods, after fitting of each action period is completed, adjusting a preset standard range according to characteristic parameters of the sinusoidal curve fitted in the current single action period, namely, in the initial action period, judging whether to count by taking the initial preset standard range as a standard, in the second to nth action periods, judging whether to count by taking the preset standard range adjusted in the previous action period as the standard, and after the first n continuous action periods are finished, taking the preset standard range adjusted in the last time as a judgment standard for counting of subsequent training actions. The general monitoring of training personnel is realized, but the training personnel do not have scoring and data analysis capabilities, and the training personnel still have complex structure, high cost and complicated use, and are difficult to popularize and use in a large scale.
Disclosure of Invention
Aiming at the technical problems, the invention aims to provide a motion recognition and scoring method for a strength training instrument, which is characterized in that a central processing unit and a plurality of detection mechanisms are arranged on the training instrument so as to ensure that the strength training instrument can detect and score the quality of the motion of the user training, thereby being beneficial to the user to timely find out the problems in the training and correct the problems in time. The data analysis is realized only by using the algorithm realized by the conventional chip, the operation and the running are simple, the cost is reduced, and the method can be widely popularized and used.
The technical aim of the invention is realized by the following technical scheme:
a method of action recognition and scoring for a strength training apparatus, the method comprising the steps of:
step one: the central processing unit determines the limit weight RM through testing and determines the training target reference weight M (the value can be obtained through manual input or through the test input of the central processing unit);
step two: the central processing unit generates a complete training set according to indexes of the limit weight RM and the reference weight M, and calculates the load W of the training set action according to the reference weight;
step three: the central processing unit generates a minimum starting dead zone L1 and a stability coefficient K of the training instrument according to the attribute of the training instrument (the value can be obtained through manual input or through test input of the central processing unit);
step four: before training, introducing a complete graph of three stages of centripetal contraction, retention contraction and centrifugal contraction of standard actions into a processor;
step five: when the training machine is used for training, the central processing unit recognizes three stages of centripetal contraction, retention contraction and centrifugal contraction of a user's real-time training action by detecting the training machine and generates a complete graph;
step six: the central processing unit scores the quality of each action stage and each action completion of the strength instrument training by comparing the standard curve graph with the user training curve graph;
step seven: the central processing unit performs accurate data quantization and storage on the total amount of movement, and provides a data base for movement big data.
By adopting the technical scheme, the training intensity suitable for the training personnel can be determined by collecting the data before the training of the training personnel, real-time monitoring can be carried out when the training personnel trains, the starting time and the ending time of the training can be automatically detected, real-time feedback can be carried out according to the action standard degree, the training data can be subjected to data analysis and stored after the training personnel trains, and can be used as the available data in the next training, and the quantity of motion can be obtained through integral calculation of analyzing effective acting. In addition, the training risk is reduced by judging whether the user is exhausted in real time. The problem that the existing strength training apparatus can only collect the moving load and the times simply, can not detect whether the requirement of motion quality is met in actual use, namely can not analyze the motion and can not give reasonable scoring is solved. And compared with the conventional camera vision scheme and the wearable sensor scheme, the structure is simpler and more concentrated, the use is more convenient, and the method is easy to widely popularize and use.
The invention is further provided with: the training set action times N default to 12 times, but are dynamically adjusted according to the difference of the user limit weight RM, the body basic state and the training actions.
By adopting the technical scheme, after the weight W is calculated, the training apparatus automatically adjusts the weight of the equipment to W, or informs a user to automatically adjust the weight to W. And performing subsequent user strength training, namely performing action recognition and scoring within the weight W range.
The invention is further provided with: the stability factor K can be set to typically 0.85
By adopting the technical scheme, the stability of training and data acquisition can be greatly optimized by setting the stability coefficient K (K is the optimal uncertain coefficient obtained after big data analysis).
The invention is further provided with: the complete graph of the three stages of centripetal contraction, retention contraction and centrifugal contraction can be automatically generated by the central processing unit according to the attribute of the instrument (the value can be obtained through manual input or through the test input of the central processing unit).
By adopting the technical scheme, the icon obtained by the existing data statistics can be used as a standard to judge the training effect during training.
The invention is further provided with: the training instrument provided with the central processing unit is provided with a counterweight measuring device and a counterweight displacement detecting device.
Through adopting above-mentioned technical scheme, thereby the counter weight measuring device and the counter weight displacement detection device on the training apparatus of accessible detection judge training apparatus motion condition, optimized training apparatus's data acquisition to a great extent.
The invention is further provided with: the instrument provided with the central processing unit is provided with a display screen, and the display screen can feed back action scores in real time.
By adopting the technical scheme, the real-time feedback can be performed on the standard reaching the action during training of the training personnel.
The invention is further provided with: the instrument provided with the central processing unit is provided with a protection device, and the real-time protection device is controlled by the central processing unit.
By adopting the technical scheme, whether the user has the exhaustion situation can be judged in real time, the protection device is started rapidly, and the training risk is reduced.
In summary, the beneficial technical effects of the invention are as follows:
(1) The training intensity suitable for the training personnel can be determined by collecting data before the training of the training personnel, real-time monitoring is carried out when the training personnel training is carried out, the starting time and the ending time of the training are automatically detected, real-time feedback is carried out according to the action standard degree, the training data are subjected to data analysis and stored after the training personnel training and used as available data in the next training, and the quantity of motion is obtained through integral calculation of effective acting through analysis.
(2) The training device has the function of judging whether the user is in the condition of exhaustion in real time, and can reduce training risks.
(3) Real-time feedback can be performed on the standard reaching the action when the training personnel train.
Drawings
FIG. 1 is a schematic overall flow diagram of one embodiment of the present invention;
FIG. 2 is a schematic flow chart of a detecting and protecting device according to an embodiment of the invention;
FIG. 3 is a graph illustrating standard motion force profiles in accordance with one embodiment of the present invention;
FIG. 4 is a graph showing the actual motion force according to one embodiment of the present invention;
FIG. 5 is a schematic representation of force curve fitting in one embodiment of the invention;
FIG. 6 is a graph of slope product of action scoring curves according to one embodiment of the invention;
FIG. 7 is a schematic representation of a depletion curve in one embodiment of the present invention.
Detailed Description
The present invention will be described more fully hereinafter with reference to the accompanying examples.
Referring to fig. 1 and 2, a method for motion recognition and scoring for a strength training apparatus, the method comprising the steps of:
step one: the central processing unit determines the limit weight RM through testing and determines the training target reference weight M (the value can be obtained through manual input or through the test input of the central processing unit);
step two: the central processing unit generates a complete training set according to indexes of the limit weight RM and the reference weight M, and calculates the load W of the training set action according to the reference weight;
step three: the central processing unit generates a minimum starting dead zone L1 and a stability coefficient K of the training instrument according to the attribute of the training instrument (the value can be obtained through manual input or through test input of the central processing unit);
step four: before training, introducing a complete curve chart of three stages of centripetal contraction, retention contraction and centrifugal contraction of standard action into a central processing unit;
step five: when the training machine is used for training, the central processing unit recognizes three stages of centripetal contraction, retention contraction and centrifugal contraction of a user's real-time training action by detecting the training machine and generates a complete graph;
step six: the central processing unit scores the quality of each action stage and each action completion of the strength instrument training by comparing the standard curve graph with the user training curve graph;
step seven: the central processing unit performs accurate data quantization and storage on the total amount of movement, and provides a data base for movement big data.
When the device is used, the central processing unit is used as a transfer device, the data, the icons, the instruments, the display and protection device are connected, the training intensity suitable for the training personnel can be determined by collecting the data before the training personnel trains, real-time monitoring is carried out when the training personnel trains, the starting time and the ending time of the training are automatically detected, real-time feedback is carried out according to the action standard degree, the training data are subjected to data analysis and stored after the training personnel trains, the data are used as available data in the next training, and the quantity of motion is obtained through integral calculation of analyzing effective acting. In addition, the training risk is reduced by judging whether the user is exhausted in real time. The problem that the existing strength training apparatus can only collect the moving load and the times simply, can not detect whether the requirement of motion quality is met in actual use, namely can not analyze the motion and can not give reasonable scoring is solved. And compared with the conventional camera vision scheme and the wearable sensor scheme, the structure is simpler and more concentrated, the use is more convenient, and the method is easy to widely popularize and use.
Referring to fig. 1, the training set action number N is 12 by default, but is dynamically adjusted according to the user limit weight RM, the body basic state, and the training actions.
The training set action number N defaults to 12, but is dynamically adjusted according to the user limit weight RM, the body basic state, and the training actions.
The weight W of the training set action is derived by the following algorithm:
W＝M·(1-0.0306·N+0.00045·N2)
after the weight W is calculated, the training apparatus automatically adjusts the weight of the equipment to W, or informs the user to adjust the weight to W by himself. And performing subsequent user strength training, namely performing action recognition and scoring within the weight W range.
The stability factor K may be set to typically 0.85 in conjunction with fig. 1.
Parameters are usually preset before the training apparatus leaves the factory. The action recognition and scoring method suggests setting the instrument parameters as follows:
the sampling rate defaults to 100 times per second,
in order to avoid the false touch of the instrument, a minimum starting dead zone L1 of the instrument is set
To ensure that the training motion samples are stable, a stability factor K should be set, which may typically be set to 0.85.
With reference to fig. 3, the complete graph of the three stages of centripetal contraction, retention contraction and centrifugal contraction can be automatically generated by the central processing unit according to the attribute of the instrument itself (the value can be obtained through manual input or through test input of the central processing unit). The training instrument provided with the central processing unit is provided with a counterweight measuring device and a counterweight displacement detecting device.
Introducing action reference curves before training the device, wherein different training actions use different action reference curves; the action curve can be preset in the instrument or can be acquired by other modes for acquiring data.
Comprising a centripetal contraction stage SS2, a retention contraction stage SS3, and a centrifugal contraction stage SS4.
The reference curve contains the standard travel LL, action timeout TT,
and calculating tts3=tt3-TT 2 when standard hold shrinkage stage SS3 is used;
standard centripetal contractile phase SS2 slope mSS2 = LL/(TT 2-TT 1);
standard centrifugal shrinkage phase SS4 slope mSS = LL/(TT 4-TT 3).
With reference to fig. 4, a single data curve can be obtained for each motion record when training with the instrument.
In the single data plot, the minimum startup dead zone L1 is the following S1 segment, which can be ignored,
a single action is initiated when the instrument travel exceeds the minimum firing dead zone L1, the start time T1 is recorded,
when the instrument trip is again below the minimum starting dead zone L1, the single action ends, the end time T4 is recorded,
the maximum stroke of single action is L3, the stable sampling stroke L2=maximum stroke L3×stability coefficient K can be obtained through calculation,
the point in time when the stroke exceeds the stable sampling stroke L2 is the holding section start time T2,
the point in time when the stroke is lower than the stable sampling stroke L2 is the holding period end time T3,
according to the time division, a single centripetal shrinkage stage S2, a single holding shrinkage stage S3 and a single centrifugal shrinkage stage S4 can be obtained.
And further calculating the duration ts3=t3-T2 of the single hold segment;
a single centripetal contraction phase S2 slope ms2= (L2-L1)/(T2-T1);
the single centrifugation shrinkage stage S4 slope ms4= (L2-L1)/(T4-T3).
Referring to fig. 5, a display screen is arranged on the instrument provided with the central processing unit, and the display screen can feed back action scores in real time.
When the device works, whether the training action is effective or not can be determined by comparing and analyzing the single action curve and the reference curve.
When the end time T4 is greater than the action timeout TT, the action timeout can be reduced, and the score can be reduced or the action can be judged to be invalid.
When the time TS3 for keeping the contraction phase is greater than the time TS3 for the standard keeping the contraction phase, the action is kept valid, otherwise, the action is kept failed, and the grading can be reduced or the action is judged to be invalid.
The action completion degree can be used as a scoring coefficient of the action, and if the action completion degree is low, the action can be judged to be invalid.
With reference to fig. 6, the action completion degree P2 in the centripetal contraction stage is calculated according to an algorithm:
degree of completion of action in centrifugal contraction stage P4:
the contraction stage operation completion degree p3=single operation maximum stroke is maintained as L3/standard stroke LL.
The total completion (score) P may be derived from the sum of the three stage completions P2, P3, P4 and the average or product.
The total completion is the score, and finally the percentage value, the closer the score is to 100%, the more standard the training action is, and the higher the score is. From the graph, the higher the ms2 to mss2 overlap ratio, the higher the score.
With reference to fig. 4, at the same time, data statistics and analysis can be performed by calculating the motion amount.
Each motion record calculates the motion amount PL from the weight W, the stroke L, and the start time T1 to the motion end time T4.
PL can scientifically and efficiently express the amount of motion per time for statistics and analysis of data.
Referring to fig. 7, a protection device is arranged on the instrument provided with the central processing unit, and the real-time protection device is controlled by the central processing unit.
In order to prevent the user from getting out of force and dangerous, the user is immediately informed or the protection function of the instrument is started when the condition of exhaustion of the user is obtained through the analysis of the training action curve. In a typical training scenario, each action takes 3-6 seconds to complete. And in one second, detecting that the forward and reverse directions of the travel are changed three times, judging that the user is exhausted, and controlling the starting of the protection device through the central processing unit.
The working principle of the embodiment is as follows: when the device is used, the central processing unit is used as a transit, the data, the icons, the instruments, the display and the protection device are connected, the seven steps are controlled by the central processing unit to monitor in real time, acquire data and output in real time, the data can be acquired before training by a training person to determine the training intensity suitable for the training person, the real-time monitoring is performed when the training person trains, the starting time and the ending time of the training are automatically detected, real-time feedback is made according to the action standard degree, the training data are subjected to data analysis and stored after the training person trains, and are used as available data in the next training, and the quantity of exercise is obtained through integral calculation of effective acting through analysis. In addition, the training risk is reduced by judging whether the user is exhausted in real time. The problem that the existing strength training apparatus can only collect the moving load and the times simply, can not detect whether the requirement of motion quality is met in actual use, namely can not analyze the motion and can not give reasonable scoring is solved. And compared with the conventional camera vision scheme and the wearable sensor scheme, the structure is simpler and more concentrated, the use is more convenient, and the method is easy to widely popularize and use.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. All equivalent changes in structure, shape and principle of the invention should be covered in the scope of protection of the invention.
Claims (7)
1. A method of action recognition and scoring for a strength training apparatus, the method comprising the steps of:
step one: the central processing unit determines a limit weight RM through testing and determines a training target reference weight M;
step two: the central processing unit generates a complete training set according to indexes of the limit weight RM and the reference weight M, and calculates the load W of the training set action according to the reference weight;
step three: the central processing unit generates a minimum starting dead zone L1 and a stability coefficient K of the training instrument according to the attribute of the training instrument;
step four: before training, introducing a complete curve chart of three stages of centripetal contraction, retention contraction and centrifugal contraction of standard action into a central processing unit;
step five: when the training machine is used for training, the central processing unit recognizes three stages of centripetal contraction, retention contraction and centrifugal contraction of a user's real-time training action by detecting the training machine and generates a complete graph;
step six: the central processing unit scores the quality of each action stage and each action completion of the strength instrument training by comparing the standard curve graph with the user training curve graph;
step seven: the central processing unit performs accurate data quantization and storage on the total amount of movement, and provides a data base for movement big data.
2. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the training set action times N default to 12 times, but are dynamically adjusted according to the difference of the user limit weight RM, the body basic state and the training actions.
3. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the stability factor K may typically be set to 0.85.
4. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the complete graph of the three stages of centripetal contraction, retention contraction and centrifugal contraction can be automatically generated by the central processing unit according to the attribute of the instrument.
5. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the training instrument provided with the central processing unit is provided with a counterweight measuring device and a counterweight displacement detecting device.
6. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the instrument provided with the central processing unit is provided with a display screen, and the display screen can feed back action scores in real time.
7. A method of action recognition and scoring for a strength training machine as claimed in claim 1, wherein: the instrument provided with the central processing unit is provided with a protection device, and the real-time protection device is controlled by the central processing unit.
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| CN112617836A (en) * | 2021-01-05 | 2021-04-09 | 悦动奇点（北京）健康科技有限公司 | Method and device for evaluating explosive force of lower limbs of human body |
| CN113368461A (en) * | 2021-05-31 | 2021-09-10 | 北京觅淘智联科技有限公司 | Auxiliary training method based on electronic counterweight stroke force generation and fitness equipment |
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