CN117919681B - Swimming standard monitoring system based on Internet of things - Google Patents
Swimming standard monitoring system based on Internet of things Download PDFInfo
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- CN117919681B CN117919681B CN202410127801.8A CN202410127801A CN117919681B CN 117919681 B CN117919681 B CN 117919681B CN 202410127801 A CN202410127801 A CN 202410127801A CN 117919681 B CN117919681 B CN 117919681B
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- 230000009182 swimming Effects 0.000 title claims abstract description 44
- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 230000009471 action Effects 0.000 claims abstract description 46
- 230000000737 periodic effect Effects 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims description 21
- 230000008569 process Effects 0.000 claims description 18
- 238000005259 measurement Methods 0.000 claims description 15
- 238000010586 diagram Methods 0.000 claims description 10
- 238000005311 autocorrelation function Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 8
- 230000009466 transformation Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract 1
- 230000003247 decreasing effect Effects 0.000 description 2
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003467 diminishing effect Effects 0.000 description 1
- 230000004217 heart function Effects 0.000 description 1
- 230000004199 lung function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
- G06F18/15—Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
- A63B2071/0647—Visualisation of executed movements
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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
- A63B2071/065—Visualisation of specific exercise parameters
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- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to the technical field of swimming specification detection, and particularly discloses a swimming specification monitoring system based on the Internet of things, which comprises the following steps: the action acquisition module: acquiring a track curve of a hand or a leg; and a database generation module: acquiring a track curve of a hand and a track curve of a leg of a skilled swimmer under each swimming type; dividing the track curve into a plurality of segments according to the period of the track curve, and fitting all the segments to obtain a standard period curve; the duty ratio of the same elements in the slope sequence and the standard slope sequence is obtained and recorded as the similarity; selecting the minimum value of the similarity in each periodic curve, and recording the minimum value as an allowable threshold; the action judging module is used for: obtaining a track curve of a swimmer in a complete period, obtaining a slope sequence of the track curve, calculating the similarity between the slope sequence and a standard slope sequence, comparing the similarity with an allowable threshold, and judging whether the swimmer acts in standard or not.
Description
Technical Field
The invention relates to the technical field of swimming standard monitoring, in particular to a swimming standard monitoring system based on the Internet of things.
Background
Swimming is a whole body exercise, and can exercise heart and lung functions, strengthen muscle strength and endurance, and improve physical coordination and flexibility. In addition, swimming helps to relieve stress and anxiety and improve sleep quality. Swimming is also a good choice for people who want to lose weight, because more heat can be consumed by moving in the water.
The swimming monitoring system is a system for collecting and analyzing the movement data of a swimmer by using wearable equipment. These devices typically incorporate various sensors for collecting information about the swimmer's heart rate, speed, distance, stroke, etc.
In the prior art, a method for judging whether the swimming action of a swimmer is standard is generally carried out by judging whether the action amplitude of the swimmer exceeds the limit or by monitoring whether the physical parameters of the swimmer are coordinated; such a determination is often not accurate enough and lacks an accurate determination threshold.
Disclosure of Invention
The invention aims to provide a swimming standard monitoring system based on the Internet of things, which solves the technical problems.
The aim of the invention can be achieved by the following technical scheme:
Swimming normative monitoring system based on thing networking includes following steps:
the action acquisition module:
Setting time intervals, selecting a plurality of measurement time nodes according to the time intervals in the swimming process, and acquiring track curves of hands or legs;
And a database generation module:
Setting a plurality of age intervals, selecting a plurality of skilled swimmers in each age interval, and acquiring the track curve of the hands and the track curve of the legs of the skilled swimmers in each swimming type;
The track curve is obtained, the track curve is divided into a plurality of segments according to the period of the track curve, and all the segments are fitted to obtain a standard period curve;
defining a curve in any complete period in the track curve of the skilled swimmer as a period curve, and acquiring the tangential slope of each measuring time node on the period curve to obtain a slope sequence; obtaining the tangential slope of each measuring time node on the standard period curve to obtain a standard slope sequence; obtaining the duty ratio of the same element in the slope sequence and the standard slope sequence, and recording the duty ratio as the similarity; selecting the minimum value of the similarity in each periodic curve, and recording the minimum value as an allowable threshold;
The action judging module is used for:
Obtaining a track curve of a swimmer in a complete period, obtaining a slope sequence of the track curve, calculating the similarity between the slope sequence and a standard slope sequence, comparing the similarity with an allowable threshold, and judging whether the swimmer acts in standard or not.
As a further scheme of the invention: the generation process of the track curve of the hand or the leg comprises the following steps:
the action acquisition module is provided with a distance measurement unit which is used for acquiring the shortest distance of the hand or the leg at the measurement time node;
each measurement time node is numbered sequentially along the time axis direction, coordinates (n, dn) are generated, and a frontal track curve of the hand or the leg is generated, wherein n represents the number of the measurement time node, and dn represents the shortest distance corresponding to the nth measurement time node.
As a further scheme of the invention: in the database generation module, the judging process of the same elements comprises the following steps:
Setting a difference threshold;
Taking the two elements as differences, obtaining the absolute value of the difference, and recording the two elements as the same element when the absolute value of the difference is smaller than or equal to a difference threshold; otherwise, the two elements are noted as non-identical elements.
As a further scheme of the invention: the process of acquiring the period of the track curve comprises the following steps:
Determining a function expression of the track curve, carrying out Fourier transform on the function expression to obtain a transformation result, selecting a plurality of peaks with the largest amplitude from the transformation result, and obtaining a plurality of candidate periods according to each peak;
obtaining the phase difference of each candidate period, and obtaining the autocorrelation coefficient value of each candidate period by unbiased calculation;
establishing an autocorrelation function diagram by taking the phase difference as an abscissa and the autocorrelation coefficient value as an ordinate;
And converting each candidate period into a corresponding coordinate in the autocorrelation function diagram, obtaining a second derivative of each candidate period in the autocorrelation function diagram, and selecting the candidate period corresponding to the second derivative with the largest value as the period of the final track curve.
As a further scheme of the invention: the database generation module further comprises a database, and the establishment process of the database comprises the following steps:
setting a plurality of storage nodes according to the number of swimming types, and associating each storage node with one swimming type;
the storage node further comprises a plurality of storage labels, the number of the storage labels is set according to the number of the age intervals, and each storage label is associated with one age interval;
And storing all the standard cycle curves and the tolerance threshold values in corresponding storage tags to obtain a database.
As a further scheme of the invention: the action judging module comprises an information input end and an action monitoring end;
The information input end is used for inputting the age and swimming type of the swimmer, and searching in the database according to the age and swimming type to obtain a standard cycle curve and an allowable threshold;
The action monitoring end is used for judging whether the action of the swimmer is standard or not and prompting according to a judging result.
As a further scheme of the invention: the action judging module acquires the time interval occupied by the standard periodic curve, and sets a buffer segment according to twice the occupied time interval;
the end time of the buffer segment is taken as the start time of the period of the judging track curve.
As a further scheme of the invention: the process of judging whether the action of the swimmer is standard by the action judging module comprises the following steps:
comparing the similarity with an allowable threshold, and comparing the peak values of the cycle curve and the standard cycle curve;
When the similarity is smaller than the tolerance threshold and the crest value of the periodic curve is smaller than the crest value of the standard periodic curve, prompting that the action of the hand or the leg of the swimmer is not standard and the swing arm strength is insufficient;
and when the similarity is greater than or equal to the tolerance threshold, directly prompting the action standard of the hands or legs of the swimmer.
The invention has the beneficial effects that:
In the system, a plurality of age intervals are set, a plurality of skilled swimmers are selected in each age interval, the track curve of the hands and the track curve of the legs of the skilled swimmers in each swimming type are obtained, and the period of the track curve is determined; dividing the track curve into a plurality of segments according to the period of the track curve, and fitting all the segments to obtain a standard period curve; the swimming action is regarded as periodic action, a plurality of skilled swimmers are selected, and the track curve of the skilled swimmers is obtained and used as sample data; obtaining a standard track curve according to the average value of the sample data, and selecting any periodic action in the standard track curve as a standard periodic curve; the standard periodic curve is used as an index for judging whether the swimmer action is standard or not; comparing the cycle curve of the skilled swimmer with a standard cycle curve to obtain similarity, and selecting a minimum similarity value as an allowable threshold; the tolerance threshold serves as a further precision to the comparison result; compared with the prior art, the standard cycle curve is obtained through the track curve of the skilled swimmer, so that the action of the swimmer has a judgment standard; meanwhile, according to the cycle curve and the standard cycle curve of each skilled swimmer, the judgment threshold value is obtained, and the judgment threshold value obtained by the obtaining mode is accurate, so that the judgment on the action of the swimmer is more accurate.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a swimming specification monitoring system based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses a swimming standard monitoring system based on the internet of things, which comprises the following steps:
the action acquisition module:
Setting time intervals, selecting a plurality of measurement time nodes according to the time intervals in the swimming process, and acquiring track curves of hands or legs;
the generation process of the track curve of the hand or the leg comprises the following steps:
the action acquisition module is provided with a distance measurement unit which is used for acquiring the shortest distance of the hand or the leg at the measurement time node;
Sequentially numbering each measuring time node along the direction of a time axis, generating coordinates (n, dn), and generating a frontal track curve of a hand or a leg, wherein n represents the number of the measuring time node, and dn represents the shortest distance corresponding to the nth measuring time node;
It is understood that the track curve is the motion track of the hand or leg, and whether the action of the swimmer is standard is determined according to the action of the hand or leg of the swimmer.
And a database generation module:
Setting a plurality of age intervals, selecting a plurality of skilled swimmers in each age interval, and acquiring the track curve of the hands and the track curve of the legs of the skilled swimmers in each swimming type;
The track curve is obtained, the track curve is divided into a plurality of segments according to the period of the track curve, and all the segments are fitted to obtain a standard period curve;
It can be understood that in the invention, when the hand or leg movement during swimming is regarded as a periodic movement, any period is selected as a standard period curve to be used as a judgment standard for judging the movement of the swimmer;
The process of acquiring the period of the track curve comprises the following steps:
Determining a function expression of the track curve, carrying out Fourier transform on the function expression to obtain a transformation result, selecting a plurality of peaks with the largest amplitude from the transformation result, and obtaining a plurality of candidate periods according to each peak;
obtaining the phase difference of each candidate period, and obtaining the autocorrelation coefficient value of each candidate period by unbiased calculation;
establishing an autocorrelation function diagram by taking the phase difference as an abscissa and the autocorrelation coefficient value as an ordinate;
converting each candidate period into a corresponding coordinate in an autocorrelation function diagram, obtaining a second derivative of each candidate period in the autocorrelation function diagram, and selecting a candidate period corresponding to the second derivative with the largest value as the period of the final track curve;
It should be further noted that fourier transform is a method of converting signals between time and frequency domains, which can decompose an arbitrary periodic function into the form of the sum of infinite positive functions; in the result of the fourier transform, the dominant period will exhibit correspondingly high magnitude frequency components, and then use autocorrelation coefficients to exclude those periods of diminishing influence; if the second derivative on the autocorrelation coefficient map of a candidate period is negative, this indicates that the autocorrelation of the period is gradually decreasing, i.e. the signal of the period has a gradually decreasing effect on the present time over time, and should therefore be excluded; by this method, the most likely period in the trajectory curve can be effectively determined;
defining a curve in any complete period in the track curve of the skilled swimmer as a period curve, and acquiring the tangential slope of each measuring time node on the period curve to obtain a slope sequence; obtaining the tangential slope of each measuring time node on the standard period curve to obtain a standard slope sequence; obtaining the duty ratio of the same element in the slope sequence and the standard slope sequence, and recording the duty ratio as the similarity; selecting the minimum value of the similarity in each periodic curve, and recording the minimum value as an allowable threshold;
It can be understood that comparing the cycle curve of each skilled swimmer with the standard cycle curve to obtain the similarity, and obtaining the tolerance threshold according to the similarity, which is used for further accuracy of the judgment result;
in the database generation module, the judging process of the same elements comprises the following steps:
Setting a difference threshold;
Taking the two elements as differences, obtaining the absolute value of the difference, and recording the two elements as the same element when the absolute value of the difference is smaller than or equal to a difference threshold; otherwise, the two elements are recorded as non-identical elements;
the database generation module further comprises a database, and the establishment process of the database comprises the following steps:
setting a plurality of storage nodes according to the number of swimming types, and associating each storage node with one swimming type;
the storage node further comprises a plurality of storage labels, the number of the storage labels is set according to the number of the age intervals, and each storage label is associated with one age interval;
Storing all standard cycle curves and tolerance thresholds in corresponding storage tags to obtain a database;
it can be understood that the database is used for storing standard cycle curves and tolerance thresholds of all age intervals under all swimming types, so that the independence and completeness of data are ensured;
The action judging module is used for:
obtaining a track curve of a swimmer in a complete period, obtaining a slope sequence of the track curve, calculating the similarity between the slope sequence and a standard slope sequence, comparing the similarity with an allowable threshold, and judging whether the swimmer acts normally or not;
the action judging module comprises an information input end and an action monitoring end;
The information input end is used for inputting the age and swimming type of the swimmer, and searching in the database according to the age and swimming type to obtain a standard cycle curve and an allowable threshold;
the action monitoring end is used for judging whether the action of the swimmer is standard or not and prompting according to a judging result;
The action judging module acquires the time interval occupied by the standard periodic curve, and sets a buffer segment according to twice the occupied time interval;
taking the end time of the buffer section as the start time of the period of the judging track curve;
it is noted that determining the period of the track curve requires that the track curve have a visible periodicity, i.e., the period is determined when there are repetitive line segments in the track curve;
the process of judging whether the action of the swimmer is standard by the action judging module comprises the following steps:
comparing the similarity with an allowable threshold, and comparing the peak values of the cycle curve and the standard cycle curve;
When the similarity is smaller than the tolerance threshold and the crest value of the periodic curve is smaller than the crest value of the standard periodic curve, prompting that the action of the hand or the leg of the swimmer is not standard and the swing arm strength is insufficient;
and when the similarity is greater than or equal to the tolerance threshold, directly prompting the action standard of the hands or legs of the swimmer.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. Swimming normative monitoring system based on thing networking, characterized by comprising the following steps:
the action acquisition module:
Setting time intervals, selecting a plurality of measurement time nodes according to the time intervals in the swimming process, and acquiring track curves of hands or legs;
And a database generation module:
Setting a plurality of age intervals, selecting a plurality of skilled swimmers in each age interval, and acquiring the track curve of the hands and the track curve of the legs of the skilled swimmers in each swimming type;
The track curve is obtained, the track curve is divided into a plurality of segments according to the period of the track curve, and all the segments are fitted to obtain a standard period curve;
defining a curve in any complete period in the track curve of the skilled swimmer as a period curve, and acquiring the tangential slope of each measuring time node on the period curve to obtain a slope sequence; obtaining the tangential slope of each measuring time node on the standard period curve to obtain a standard slope sequence; obtaining the duty ratio of the same element in the slope sequence and the standard slope sequence, and recording the duty ratio as the similarity; selecting the minimum value of the similarity in each periodic curve, and recording the minimum value as an allowable threshold;
The action judging module is used for:
obtaining a track curve of a swimmer in a complete period, obtaining a slope sequence of the track curve, calculating the similarity between the slope sequence and a standard slope sequence, comparing the similarity with an allowable threshold, and judging whether the swimmer acts normally or not;
in the database generation module, the judging process of the same elements comprises the following steps:
Setting a difference threshold;
Taking the two elements as differences, obtaining the absolute value of the difference, and recording the two elements as the same element when the absolute value of the difference is smaller than or equal to a difference threshold; otherwise, the two elements are recorded as non-identical elements;
the process of judging whether the action of the swimmer is standard by the action judging module comprises the following steps:
comparing the similarity with an allowable threshold, and comparing the peak values of the cycle curve and the standard cycle curve;
When the similarity is smaller than the tolerance threshold and the crest value of the periodic curve is smaller than the crest value of the standard periodic curve, prompting that the action of the hand or the leg of the swimmer is not standard and the swing arm strength is insufficient;
and when the similarity is greater than or equal to the tolerance threshold, directly prompting the action standard of the hands or legs of the swimmer.
2. The swimming specification monitoring system based on the internet of things according to claim 1, wherein the generating process of the track curve of the hand or the leg comprises:
the action acquisition module is provided with a distance measurement unit which is used for acquiring the shortest distance of the hand or the leg at the measurement time node;
each measurement time node is numbered sequentially along the time axis direction, coordinates (n, dn) are generated, and a frontal track curve of the hand or the leg is generated, wherein n represents the number of the measurement time node, and dn represents the shortest distance corresponding to the nth measurement time node.
3. A swimming normative monitoring system based on the internet of things as in claim 1, wherein the process of obtaining the cycle of the trajectory profile comprises:
Determining a function expression of the track curve, carrying out Fourier transform on the function expression to obtain a transformation result, selecting a plurality of peaks with the largest amplitude from the transformation result, and obtaining a plurality of candidate periods according to each peak;
obtaining the phase difference of each candidate period, and obtaining the autocorrelation coefficient value of each candidate period by unbiased calculation;
establishing an autocorrelation function diagram by taking the phase difference as an abscissa and the autocorrelation coefficient value as an ordinate;
And converting each candidate period into a corresponding coordinate in the autocorrelation function diagram, obtaining a second derivative of each candidate period in the autocorrelation function diagram, and selecting the candidate period corresponding to the second derivative with the largest value as the period of the final track curve.
4. The swimming specification monitoring system based on the internet of things according to claim 1, wherein the database generating module further comprises a database, and the process of establishing the database comprises:
setting a plurality of storage nodes according to the number of swimming types, and associating each storage node with one swimming type;
the storage node further comprises a plurality of storage labels, the number of the storage labels is set according to the number of the age intervals, and each storage label is associated with one age interval;
And storing all the standard cycle curves and the tolerance threshold values in corresponding storage tags to obtain a database.
5. The swimming normative monitoring system based on the internet of things according to claim 4, wherein the action judging module comprises an information input end and an action monitoring end;
The information input end is used for inputting the age and swimming type of the swimmer, and searching in the database according to the age and swimming type to obtain a standard cycle curve and an allowable threshold;
The action monitoring end is used for judging whether the action of the swimmer is standard or not and prompting according to a judging result.
6. The swimming normative monitoring system based on the internet of things according to claim 3, wherein the action judging module obtains a time interval occupied by a standard cycle curve, and sets a buffer section according to twice the occupied time interval;
the end time of the buffer segment is taken as the start time of the period of the judging track curve.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107376247A (en) * | 2017-08-16 | 2017-11-24 | 广东远峰电子科技股份有限公司 | A kind of swimming exercise analysis method based on intelligent watch and the intelligent watch |
| CN116541668A (en) * | 2023-07-06 | 2023-08-04 | 杭州光粒科技有限公司 | Swimming stroke number determining method, device, equipment and storage medium |
| CN117312990A (en) * | 2023-11-13 | 2023-12-29 | 深圳市爱都科技有限公司 | Swimming stroke counting method and device, intelligent wearable equipment and medium |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107376247A (en) * | 2017-08-16 | 2017-11-24 | 广东远峰电子科技股份有限公司 | A kind of swimming exercise analysis method based on intelligent watch and the intelligent watch |
| CN116541668A (en) * | 2023-07-06 | 2023-08-04 | 杭州光粒科技有限公司 | Swimming stroke number determining method, device, equipment and storage medium |
| CN117312990A (en) * | 2023-11-13 | 2023-12-29 | 深圳市爱都科技有限公司 | Swimming stroke counting method and device, intelligent wearable equipment and medium |
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