CN111282246A - Training method - Google Patents
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- CN111282246A CN111282246A CN202010207229.8A CN202010207229A CN111282246A CN 111282246 A CN111282246 A CN 111282246A CN 202010207229 A CN202010207229 A CN 202010207229A CN 111282246 A CN111282246 A CN 111282246A
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1101—Detecting tremor
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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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
- A63B69/00—Training appliances or apparatus for special sports
- A63B69/12—Arrangements in swimming pools for teaching swimming or for training
- A63B69/14—Teaching frames for swimming ; Swimming boards
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
- G01C21/165—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- A—HUMAN NECESSITIES
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- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2208/00—Characteristics or parameters related to the user or player
- A63B2208/03—Characteristics or parameters related to the user or player the user being in water
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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
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/803—Motion sensors
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- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/04—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations
- A63B2230/06—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations heartbeat rate only
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- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/20—Measuring physiological parameters of the user blood composition characteristics
- A63B2230/207—P-O2, i.e. partial O2 value
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- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/40—Measuring physiological parameters of the user respiratory characteristics
- A63B2230/42—Measuring physiological parameters of the user respiratory characteristics rate
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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
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/62—Measuring physiological parameters of the user posture
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Abstract
The invention relates to a training method. The method comprises that a user wearing the swimsuit starts swimming; the data acquisition device acquires swimming posture data, swimming motion data and physiological data measured by the measuring device in the swimming process of a user; the data distribution unit processes the swimming posture data, the swimming motion data and the physiological data to form a data distribution table, and the data distribution table comprises swimming speed and physiological data distribution, swimming speed and swimming posture data distribution, water stroke frequency and swimming posture data distribution and water stroke frequency and physiological data distribution; the support vector machine extracts features of the data distribution table, establishes an identification model, obtains distribution features based on the data distribution table, performs clustering based on the distribution features, and takes data with the total contribution ratio exceeding a preset threshold value as target data to form a target data set; the training unit continuously trains in the recognition model to obtain the optimal swimming posture data.
Description
Technical Field
The invention belongs to the field of physical training equipment, and particularly relates to a training method.
Background
This application is application No. 201810698336.8 entitled divisional application of a swim monitoring system and training method, the disclosure of which is incorporated in its entirety.
Swimming is popular among various people as a sport capable of effectively enhancing various functions of a human body. Whether the swimming action is correct or not in the swimming movement has a critical influence on the improvement of the swimming skill and the exertion of the swimming speed. If the swimming action is incorrect and the posture coordination is insufficient, the phenomena of large increase of resistance and partial invalidation of force application in the swimming process are often caused, so that not only is energy wasted, but also the swimming speed is difficult to improve. Currently, in the technical field of swimming stroke adjustment, no related swimming equipment is available for guiding a user to adjust the swimming stroke in real time. Many people are afraid of learning swimming because of unsupervised swimming gestures, or simply swimming is not drowned and gestures are very substandard. However, if no qualified coach guides a general swimming learner, it is often difficult to learn correct swimming motions during self-training, so that not only the learning effect is poor, but also the swimming learner needs to pay more effort if he is going to correct wrong swimming motions in the future. In addition, if the swimmer is hired to guide, besides the low cost, the reliable data support is lacked for the coach, so the coach can teach most of the swimmer by experience, and the swimming learner must practice the swimmer by himself due to the limited guiding time of the coach. The prior art can not measure the accuracy of swimming motion state change and various swimming postures formed by the motion change in swimming, can not measure the physiological parameters of a user, can not train to form a motion state, a swimming posture and even a complete set of roads which are particularly suitable for the user, and can not guide in a targeted manner to improve the training effect.
A. data acquisition
Collecting standard swimming data, and analyzing by using matlab to obtain signal characteristic diagrams of various swimming postures;
B. swimming stroke recognition
Selecting acceleration values of a y axis and a z axis to distinguish swimming gestures, and determining that a recognized swimming gesture is a real swimming gesture as a probable event under a fixed-width time window if the number of times of the certain swimming gesture is more than the sum of the number of times of other swimming gestures;
C. malfunction filtering
Preprocessing and analyzing the acquired original waveform, taking the sensor as a reference plane according to the specific wearing condition of the wrist, wherein the data of the z-axis gyroscope reflects the angular acceleration of the arm of the tester around the z axis, and the angle of the arm rotation can be obtained by integrating the angular acceleration; performing segmented integration on data, extracting a signal extreme value for each segment of data, wherein a difference value between a maximum extreme value and a minimum extreme value reflects a corresponding angle of arm swing of a tester in the time, setting a threshold value, eliminating false operation interference, and when the difference value exceeds the threshold value, determining that the segment of data is effective and performing low-pass filtering and feature extraction identification operation on the segment of data;
D. filter design
And (4) carrying out low-pass filtering, designing a 3-order Butterworth low-pass filter, wherein the cut-off frequency is 1HZ, and filtering high-frequency noise and harmonic waves to obtain a swimming fundamental frequency signal. The patent determines swimming postures and swimming related parameters, but the patent cannot be trained to form a posture and a complete set of paths which are particularly suitable for personal swimming of a user, and cannot carry out targeted guidance to improve the training effect.
Therefore, there is a need to provide a swimming monitoring system and a training method, which can measure the swimming posture change of a user in the swimming process in real time, measure the swimming motion data and the physiological data of the user, train to form a swimming posture particularly suitable for the user, and form a targeted guidance to significantly improve the training effect.
Documents of the prior art
Patent document
Patent document 1: chinese patent publication No. CN107115653A
Patent document 2: chinese patent publication No. CN107270934A
Patent document 3: chinese patent publication No. CN103657047A
Disclosure of Invention
The present inventors have conducted intensive studies to achieve the above object, and specifically, the present invention provides a training method comprising the steps of:
the swimming suit comprises a user wearing the swimming suit and a physiological measurement module, wherein the user starts swimming, the inertial measurement module measures swimming posture data, the movement measurement module measures swimming movement data, and the physiological measurement module measures physiological data, the inertial measurement module comprises an acceleration sensor for measuring three-dimensional translation vectors and a gyroscope for measuring three-dimensional rotation vectors of all parts of a body, the movement measurement module comprises a speed sensor for measuring swimming speed and a stroke frequency sensor for measuring stroke frequency, and the physiological measurement module comprises a microphone vibration sensor for measuring muscle vibration, a heart rate sensor for measuring heart rate, a water pressure sensor for measuring water pressure, a respiratory frequency sensor for measuring respiratory frequency and an infrared blood oxygen concentration sensor for measuring blood oxygen concentration;
the data acquisition device acquires swimming posture data, swimming motion data and physiological data measured by the measuring device in the swimming process of a user, wherein the swimming posture data comprises three-dimensional translation vectors and three-dimensional rotation vectors of all parts of a body, the swimming motion data comprises swimming speed and stroke frequency data, the physiological data comprises muscle vibration data, heart rate, borne water pressure, respiratory frequency and blood pressure concentration data of all parts of the body, and when any one or more of the measured muscle vibration, heart rate, water pressure, respiratory frequency and/or blood oxygen concentration correspondingly exceeds a preset muscle vibration interval, heart rate interval, water pressure interval, respiratory frequency interval and/or blood oxygen concentration interval, the reminding device gives an alarm;
the data distribution unit processes the swimming posture data, the swimming motion data and the physiological data to form a data distribution table, wherein the data distribution table comprises swimming speed and physiological data distribution, swimming speed and swimming posture data distribution, water stroke frequency and swimming posture data distribution and water stroke frequency and physiological data distribution;
the method comprises the steps that a support vector machine extracts features of a data distribution table, establishes an identification model, obtains distribution features based on the data distribution table, performs clustering based on the distribution features, and takes data with the total contribution ratio exceeding a preset threshold value as target data to form a target data set;
the training unit continuously trains in the recognition model to obtain the optimal swimming posture data.
In the training method, the data acquisition device comprises a screener for screening swimming posture data based on a preset condition, the preset condition is that a translation vector and a rotation vector between two legs accord with a vector change range of breaststroke or butterfly stroke, and the data acquisition device acquires the swimming posture data which accord with the preset condition and swimming motion data and physiological data at corresponding time.
In the training method, the training unit comprises a verification module which verifies swimming posture data through distribution fitting test, wherein the statistic of the swimming posture data isWherein ni is an actual observed number, Ei is a theoretical average, k is a grouping number, and x is a statistic; if it is notThe geometric distribution is rejected.
In the training method, the reminding device comprises a vibrator, a buzzer and/or an LED lamp.
In the training method, the inertial measurement module, the motion measurement module and the physiological measurement module are attached to the user via a flexible bag.
In the training method, the flexible bags are distributed on the positions of the swimsuit corresponding to the wrists, the arms, the elbows, the waist, the legs, the knees and the chest of the body.
The invention has the following technical effects:
the swimming posture data is measured by the inertia measuring module, the swimming motion data is measured by the motion measuring module, the physiological measuring module measures the physiological data to obtain the three-dimensional displacement vector, the swimming speed and the stroke frequency data, the muscle vibration data, the heart rate, the water pressure, the respiratory frequency and the blood pressure concentration data of all parts of the body of the user at each moment in the swimming process in real time, various real-time swimming postures of the user in swimming and corresponding motion data and physiological data are obtained, the measuring richness and accuracy are obviously improved, the swimming postures trained by the device and the corresponding swimming motion data and physiological data are processed, the swimming posture, the swimming motion data and the physiological data are trained to form a swimming motion state, the swimming postures and even a complete set which are particularly suitable for the individual user, and a targeted guidance is formed to obviously improve the training effect.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the swim monitoring system of the present invention.
Fig. 2 is a schematic diagram of the steps of a training method according to an embodiment of the present invention.
Description of the symbols:
1, swimming suit;
2, a measuring device;
3, a server;
4, an inertia measurement module;
5 an acceleration sensor;
6, a gyroscope;
7a motion measurement module;
8 a speed sensor;
9 stroke frequency sensor;
10 a physiological measurement module;
11 microphone vibration sensor;
12 a heart rate sensor;
13 a water pressure sensor;
14 a respiratory rate sensor;
15 infrared blood oxygen concentration sensor;
16 a data acquisition device;
17 processing device
18 a data distribution unit;
19 support vector machine;
20 training unit.
Detailed Description
Specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It should be noted that certain terms are used throughout the description and claims to refer to particular components. As one skilled in the art will appreciate, various names may be used to refer to a component. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. The description which follows is a preferred embodiment of the invention, but is made for the purpose of illustrating the general principles of the invention and not for the purpose of limiting the scope of the invention. The scope of the present invention is defined by the appended claims.
For the purpose of facilitating an understanding of the embodiments of the present invention, the following description will be made in terms of several specific embodiments with reference to the accompanying drawings, and the drawings are not intended to limit the embodiments of the present invention.
Specifically, as shown in fig. 1, the swimming monitoring system of the present invention includes a swimsuit 1, a measuring device 2 for measuring a swimming state, and a server 3 wirelessly connected to the measuring device 2, and is characterized in that:
the swimming suit 1, the swimming suit 1 covering the limbs of the user is provided with a plurality of flexible fixing pieces,
the measuring device 2 is attached to a user via the flexible mount, comprising:
an inertial measurement module 4, the inertial measurement module 4 for measuring swimming posture data comprises an acceleration sensor 5 for measuring three-dimensional translation vectors of all parts of the body and a gyroscope 6 for measuring three-dimensional rotation vectors,
a motion measuring module 7, the motion measuring module 7 for measuring swimming motion data comprises a speed sensor 8 for measuring swimming speed and a stroke frequency sensor 9 for measuring stroke frequency,
a physiological measurement module 10, the physiological measurement module 10 for measuring physiological data comprises a microphone vibration sensor 11 for measuring muscle vibration, a heart rate sensor 12 for measuring heart rate, a water pressure sensor 13 for measuring water pressure, a respiratory rate sensor 14 for measuring respiratory rate and an infrared blood oxygen concentration sensor 15 for measuring blood oxygen concentration,
the server 3 comprises data acquisition means 16 and processing means 17, wherein,
the data acquisition device 16 is used for acquiring swimming posture data, swimming motion data and physiological data measured by the measuring device 2 in the swimming process of the user, wherein the swimming posture data comprises three-dimensional translation vectors and three-dimensional rotation vectors of all parts of the body, the swimming motion data comprises swimming speed and stroke frequency data, and the physiological data comprises muscle vibration data, heart rate, borne water pressure, respiratory frequency and blood pressure concentration data of all parts of the body;
the processing device 17 comprises:
a data distribution unit 18 for processing the swimming stroke data, the swimming motion data and the physiological data to form a data distribution table, wherein the data distribution table comprises swimming speed and physiological data distribution, swimming speed and swimming stroke data distribution, stroke frequency and swimming stroke data distribution and stroke frequency and physiological data distribution;
the support vector machine 19 is used for extracting features of the data distribution table, establishing an identification model, obtaining distribution features based on the data distribution table, clustering based on the distribution features, and forming a target data set by taking data with the total contribution ratio exceeding a preset threshold as target data;
a training unit 20 for continuously training the recognition model to obtain the optimal swimming stroke data.
The swimming monitoring system measures swimming posture data through the inertia measuring module, the swimming motion data is measured through the motion measuring module, the physiological measuring module measures the physiological data to obtain three-dimensional displacement vectors, swimming speed and stroke frequency data, muscle vibration data, heart rate, water pressure, respiratory frequency and blood pressure concentration data of all parts of a body of a user at each moment in the swimming process in real time, various real-time swimming postures of the user in swimming and corresponding motion data and physiological data are obtained, the measuring richness and accuracy are obviously improved, the swimming postures trained by the processing device and the corresponding swimming motion data and physiological data are processed, the swimming postures, the motion postures and the corresponding swimming motion data and the physiological data are trained to form a swimming motion state, the motion postures and even a complete set particularly suitable for the user, and targeted guidance is formed to obviously improve the training effect.
In a preferred embodiment of the swimming monitoring system according to the invention, the data acquisition device 16 comprises a filter for filtering the swimming stroke data based on predetermined conditions that the translation vector and the rotation vector between the two legs conform to the vector variation range of breaststroke or butterfly stroke, and the data acquisition device 16 acquires the swimming stroke data conforming to the predetermined conditions, and the swimming movement data and the physiological data at corresponding time.
In a preferred embodiment of the swimming monitoring system according to the invention, the physiological measurement module 10 is provided with a calculation unit for calculating a time-based physiological state curve.
In a preferred embodiment of the swimming monitoring system according to the invention, the training unit 20 comprises a verification module for verifying the swimming stroke data by means of a distribution fitting test, wherein the statistic of the swimming stroke data isWherein n isiFor actual number of observations, EiIs a theoretical average, and k is the number of groups; if it is notThe geometric distribution is rejected.
In the preferred embodiment of the swimming monitoring system of the present invention, the server 3 is a cloud server, and the cloud server includes a processor, a hard disk, a memory, a bus, and a wireless communication device for interacting with the measurement device in a uniform format.
In a preferred embodiment of the swimming monitoring system, the wireless communication device at least comprises a wireless local area network communication device and/or a mobile communication network device, the wireless local area network communication device comprises a bluetooth module, a ZigBee module and/or a Wi-Fi module, and the mobile communication network device comprises a 2G wireless communication chip, a 3G wireless communication chip and/or a 4G wireless communication chip.
In a preferred embodiment of the swimming monitoring system according to the present invention, the server 3 comprises a warning device, the warning device sends a warning when any one or more of the measured muscle vibration, heart rate, water pressure, respiratory rate and/or blood oxygen concentration exceeds a preset muscle vibration interval, heart rate interval, water pressure interval, respiratory rate interval and/or blood oxygen concentration interval, and the warning device comprises a vibrator, a buzzer and/or an LED lamp.
In a preferred embodiment of the swimming monitoring system according to the invention, the processing means 17 comprise a digital signal processor, an application specific integrated circuit ASIC or a field programmable gate array FPGA, and the processing means 17 comprise a memory which may comprise one or more of a read only memory ROM, a random access memory RAM, a flash memory or an electrically erasable programmable read only memory EEPROM.
In a preferred embodiment of the swimming monitoring system according to the invention, the flexible fixing element is a flexible bag distributed over the swimsuit at a position corresponding to the wrists, arms, elbows, waist, legs, knees and chest of the body.
In one embodiment, fig. 2 is a schematic diagram of the steps of the training method using the swimming monitoring system of the present invention, and as shown in fig. 2, a training method using the swimming monitoring system comprises the following steps:
the user wearing the swimsuit starts swimming, the inertia measurement module 4 measures swimming posture data, the movement measurement module 7 measures swimming movement data, and the physiological measurement module 10 measures physiological data;
the data acquisition device 16 acquires swimming posture data, swimming motion data and physiological data measured by the measuring device 2 in the swimming process of the user;
the data distribution unit 18 processes the swimming posture data, the swimming motion data and the physiological data to form a data distribution table, wherein the data distribution table comprises swimming speed and physiological data distribution, swimming speed and swimming posture data distribution, stroke frequency and swimming posture data distribution and stroke frequency and physiological data distribution;
the support vector machine 19 extracts features of the data distribution table, establishes an identification model, obtains distribution features based on the data distribution table, performs clustering based on the distribution features, and takes data with the total contribution ratio exceeding a preset threshold value as target data to form a target data set;
the training unit 20 continuously trains in the recognition model to obtain optimal swimming stroke data.
Compared with the prior art, the swimming monitoring system measures swimming posture data through the inertia measuring module, the swimming motion data is measured through the motion measuring module, the physiological measuring module measures the physiological data so as to obtain three-dimensional displacement vectors, swimming speed and stroke frequency data, muscle vibration data, heart rate, water pressure, respiratory frequency and blood pressure concentration data of all parts of the body of a user at each moment in the swimming process in real time, various real-time swimming postures of the user in swimming and corresponding motion data and physiological data are obtained, the measuring richness and accuracy are obviously improved, the swimming postures trained by the processing device and the corresponding swimming motion data and physiological data are processed, the training forms a swimming motion state, a motion posture and even a loop particularly suitable for the user, and forms targeted guidance to obviously improve the training effect, according to specific needs, the method can also obtain the most durable swimming postures for training based on the blood oxygen concentration data, or even form a loop suitable for the physiological condition of the user by the combination of the swimming postures, obtain corresponding muscle vibration data measured by a microphone vibration sensor through the most durable swimming postures to adjust the force generation mode, and/or measure the breathing frequency data by the breathing frequency sensor 14 to adjust the breathing rhythm.
Industrial applicability
The swimming monitoring system and the training method can be manufactured and used in the field of sports equipment.
Although the embodiments of the present invention have been described above with reference to the accompanying drawings, the present invention is not limited to the above-described embodiments and application fields, and the above-described embodiments are illustrative, instructive, and not restrictive. Those skilled in the art, having the benefit of this disclosure, may effect numerous modifications thereto without departing from the scope of the invention as defined by the appended claims.
Claims (6)
1. A method of training comprising the steps of:
the user wearing the swimsuit starts swimming, the inertia measurement module (4) measures swimming posture data, the movement measurement module (7) measures swimming movement data, the physiological measurement module (10) measures physiological data, the device comprises an inertial measurement module (4), a motion measurement module (7), a physiological measurement module (10) and a control module, wherein the inertial measurement module (4) comprises an acceleration sensor (5) for measuring three-dimensional translation vectors and a gyroscope (6) for measuring three-dimensional rotation vectors of all parts of a body, the motion measurement module (7) comprises a speed sensor (8) for measuring swimming speed and a stroke frequency sensor (9) for measuring stroke frequency, and the physiological measurement module (10) comprises a microphone vibration sensor (11) for measuring muscle vibration, a heart rate sensor (12) for measuring heart rate, a water pressure sensor (13) for measuring water pressure, a respiratory rate sensor (14) for measuring respiratory rate and an infrared blood oxygen concentration sensor (15) for; the data acquisition device (16) acquires swimming posture data, swimming motion data and physiological data measured by the measuring device (2) in the swimming process of a user, wherein the swimming posture data comprises three-dimensional translation vectors and three-dimensional rotation vectors of all parts of a body, the swimming motion data comprises swimming speed and stroke frequency data, the physiological data comprises muscle vibration data, heart rate, borne water pressure, respiratory frequency and blood pressure concentration data of all parts of the body, and the reminding device gives out a warning when any one or more of the measured muscle vibration, heart rate, water pressure, respiratory frequency and/or blood oxygen concentration correspondingly exceeds a preset muscle vibration interval, heart rate interval, water pressure interval, respiratory frequency interval and/or blood oxygen concentration interval;
the data distribution unit (18) processes the swimming posture data, the swimming motion data and the physiological data to form a data distribution table, wherein the data distribution table comprises swimming speed and physiological data distribution, swimming speed and swimming posture data distribution, stroke frequency and swimming posture data distribution and stroke frequency and physiological data distribution;
the support vector machine (19) extracts features of the data distribution table, establishes an identification model, obtains distribution features based on the data distribution table, performs clustering based on the distribution features, and takes data with the total contribution ratio exceeding a preset threshold value as target data to form a target data set; a training unit (20) continuously trains the recognition model to obtain optimal swimming stroke data.
2. Training method according to claim 1, characterized in that: the data acquisition device (16) comprises a screener for screening swimming posture data based on a preset condition, the preset condition is that a translation vector and a rotation vector between two legs conform to a vector change range of breaststroke or butterfly stroke, and the data acquisition device (16) acquires the swimming posture data conforming to the preset condition and swimming motion data and physiological data at corresponding time.
3. Training method according to claim 1, characterized in that: the training unit (20) comprises a verification module for verifying swim style data by a distribution fitting test, wherein the statistic of the swim style data isWherein ni is an actual observed number, Ei is a theoretical average, k is a grouping number, and x is a statistic; if it is notThe geometric distribution is rejected.
4. Training method according to claim 1, characterized in that: the reminding device comprises a vibrator, a buzzer and/or an LED lamp.
5. Training method according to claim 1, characterized in that: the inertial measurement module (4), the motion measurement module (7) and the physiological measurement module (10) are attached to the user via a flexible bag.
6. Training method according to claim 5, characterized in that: the flexible bags are distributed at the positions of the swimsuit corresponding to the wrists, arms, elbows, waist, legs, knees and chest of the body.
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CN109876387A (en) * | 2019-02-25 | 2019-06-14 | 广东小天才科技有限公司 | Swimming breath reminding method, device, equipment and medium based on wearable equipment |
CN112076456A (en) * | 2020-08-07 | 2020-12-15 | 楚林溪 | Swimming training method and system, terminal device, swimming goggles and readable storage medium |
TWI787976B (en) | 2021-08-27 | 2022-12-21 | 財團法人資訊工業策進會 | Wearable positioning device and method thereof |
CN117095472B (en) * | 2023-10-18 | 2024-02-20 | 广州华夏汇海科技有限公司 | Swimming foul action judging method and system based on AI |
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DE10206345B3 (en) * | 2002-02-14 | 2004-01-22 | Wolfgang Held | training aid |
CN106175781A (en) * | 2016-08-25 | 2016-12-07 | 歌尔股份有限公司 | Utilize method and the wearable device of wearable device monitoring swimming state |
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EP3227802A1 (en) * | 2014-12-02 | 2017-10-11 | Koninklijke Philips N.V. | System and method for generating health data using measurements of wearable device |
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CN107785076A (en) * | 2016-08-30 | 2018-03-09 | 李祥臣 | A kind of continuous dynamic motion and physiological data Treatment Analysis system and method |
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DE10206345B3 (en) * | 2002-02-14 | 2004-01-22 | Wolfgang Held | training aid |
CN106175781A (en) * | 2016-08-25 | 2016-12-07 | 歌尔股份有限公司 | Utilize method and the wearable device of wearable device monitoring swimming state |
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