CN111388987A - Swimming monitoring system - Google Patents
Swimming monitoring system Download PDFInfo
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- CN111388987A CN111388987A CN202010206847.0A CN202010206847A CN111388987A CN 111388987 A CN111388987 A CN 111388987A CN 202010206847 A CN202010206847 A CN 202010206847A CN 111388987 A CN111388987 A CN 111388987A
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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
- A63—SPORTS; GAMES; AMUSEMENTS
- 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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- 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
- A63B2230/04—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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- 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
- A63B2230/20—Measuring physiological parameters of the user blood composition characteristics
- A63B2230/207—P-O2, i.e. partial O2 value
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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
- A63B2230/40—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
Abstract
The invention relates to a swimming monitoring system. The swimming monitoring system comprises a swimming suit (1), a measuring device (2) for measuring the swimming state, a server (3) in wireless connection with the measuring device (2), and a processing device (17) for training the swimming posture, corresponding swimming motion data and physiological data, and the swimming monitoring system and the training method can be trained to form the swimming motion state and the swimming posture particularly suitable for the individual user, and form targeted guidance to remarkably improve the training effect.
Description
Technical Field
The invention belongs to the field of physical training equipment, and particularly relates to a swimming monitoring system.
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 objects, and more particularly, the present invention provides a swimming monitoring system including a swimsuit, a measuring device for measuring a swimming state, and a server wirelessly connected to the measuring device, the swimsuit having a plurality of flexible fixtures covering limbs of a user,
the measurement device is attached to a user via the flexible mount, comprising:
the inertial measurement module for measuring swimming posture data comprises an acceleration sensor for measuring three-dimensional translation vectors of all parts of the body and a gyroscope for measuring three-dimensional rotation vectors,
the motion measuring module for measuring swimming motion data comprises a speed sensor for measuring swimming speed and a stroke frequency sensor for measuring stroke frequency,
the physiological measurement module for measuring physiological data 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 rate sensor for measuring respiratory rate and an infrared blood oxygen concentration sensor for measuring blood oxygen concentration,
the server is a cloud server and comprises a reminding device, a data acquisition device and a processing device, wherein,
the data acquisition device is used for acquiring 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, 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 comprises:
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, stroke frequency and swimming posture data distribution and stroke frequency and physiological data distribution;
the support vector machine is used for extracting features of a data distribution table, establishing an identification model, obtaining distribution features based on the data distribution table, clustering based on the distribution features, and taking data with the total contribution ratio exceeding a preset threshold value as target data to form a target data set;
a training unit which continuously trains the recognition model to obtain optimal swimming posture data;
when any one or more of the measured muscle vibration, heart rate, water pressure, respiratory rate and/or blood oxygen concentration correspondingly exceed the preset muscle vibration interval, heart rate interval, water pressure interval, respiratory rate interval and/or blood oxygen concentration interval, the reminding device gives out a warning.
In the swimming monitoring system, 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 swimming monitoring system, the physiological measurement module is provided with a calculation unit for calculating a physiological state curve based on time.
In the swimming monitoring system, the training unit comprises a verification module which verifies swimming stroke data through a distribution fitting test, wherein the statistic of the swimming stroke data is
Wherein ni is an actual observed number, Ei is a theoretical average number, and k is a grouping number; if it is not
The geometric distribution is rejected.
In the swimming monitoring system, the cloud server comprises a processor, a hard disk, a memory, a bus and a wireless communication device for interacting with the measuring device in a uniform format.
In the swimming monitoring system, the wireless communication equipment at least comprises wireless local area network communication equipment and/or mobile communication network equipment, the wireless local area network communication equipment comprises a Bluetooth module, a ZigBee module and/or a Wi-Fi module, and the mobile communication network equipment comprises a 2G wireless communication chip, a 3G wireless communication chip and/or a 4G wireless communication chip.
In the swimming monitoring system, the reminding device comprises a vibrator, a buzzer and/or an L ED lamp, in the swimming monitoring system, the processing device comprises a digital signal processor, an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA),
in the swimming monitoring system, the flexible fixing member is a flexible bag which is distributed at the position of the swimsuit corresponding to the wrist, arm, elbow, waist, leg, knee and chest of the body.
In said swimming monitoring system, the processing means 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 electronically erasable programmable read only memory EEPROM.
The invention has the following technical effects:
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 training forms a swimming motion state, a swimming posture and even a complete set particularly suitable for the 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 step diagram of the training method of the present invention using a swimming monitoring system.
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 is
Wherein ni is an actual observed number, Ei is a theoretical average number, and k is a grouping number; if it is not
The 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 L ED light.
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.
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 of the present invention may 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 (10)
1. A swimming monitoring system comprising a swimsuit (1), a measuring device (2) for measuring swimming conditions and a server (3) wirelessly connected to the measuring device (2), 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 and a gyroscope (6) for measuring three-dimensional rotation vectors of all parts of the body,
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) is a cloud server and comprises a reminding device, a data acquisition device (16) and a processing device (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 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, 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) which processes the swimming gesture 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 gesture data distribution, stroke frequency and swimming gesture 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) which continuously trains the recognition model to obtain optimal swimming posture data;
when any one or more of the measured muscle vibration, heart rate, water pressure, respiratory rate and/or blood oxygen concentration correspondingly exceed the preset muscle vibration interval, heart rate interval, water pressure interval, respiratory rate interval and/or blood oxygen concentration interval, the reminding device gives out a warning.
2. The swim monitoring system of claim 1, wherein: 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. The swim monitoring system of claim 1, wherein: the physiological measurement module (10) is provided with a calculation unit for calculating a time-based physiological state curve.
4. The swim monitoring system of claim 1, wherein: the training unit (20) comprises a verification moduleVerifying swim stroke data by a distribution fitting test, wherein the statistic of the swim stroke data is
Wherein n isiFor actual number of observations, EiIs a theoretical average, k is the number of packets, and x is the statistic; if it is not
The geometric distribution is rejected.
5. The swim monitoring system of claim 4, wherein: the cloud server comprises a processor, a hard disk, a memory, a bus and wireless communication equipment used for interacting with the measuring device in a uniform format.
6. The swim monitoring system of claim 5, wherein: the wireless communication equipment at least comprises wireless local area network communication equipment and/or mobile communication network equipment, the wireless local area network communication equipment comprises a Bluetooth module, a ZigBee module and/or a Wi-Fi module, and the mobile communication network equipment comprises a 2G wireless communication chip, a 3G wireless communication chip and/or a 4G wireless communication chip.
7. The swimming monitoring system according to claim 1, wherein the reminding device comprises a vibrator, a buzzer and/or an L ED lamp.
8. The swim monitoring system of claim 1, wherein: the processing means (17) comprises a digital signal processor, an application specific integrated circuit ASIC or a field programmable gate array FPGA.
9. The swim monitoring system of claim 1, wherein: the flexible fixing piece is a flexible bag, and the flexible bag is distributed at the position of the swimsuit corresponding to the wrist, the arm, the elbow, the waist, the leg, the knee and the chest of the body.
10. The swim monitoring system of claim 1, wherein: the processing device (17) comprises 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.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109876387A (en) * | 2019-02-25 | 2019-06-14 | 广东小天才科技有限公司 | Swimming breathing based reminding method, device, equipment and medium based on wearable device |
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106237604A (en) * | 2016-08-31 | 2016-12-21 | 歌尔股份有限公司 | Wearable device and the method utilizing its monitoring kinestate |
| CN106621217A (en) * | 2016-12-06 | 2017-05-10 | 北京体育大学 | Monitoring system for training process of swimmer |
| KR20170076281A (en) * | 2015-12-24 | 2017-07-04 | 삼성전자주식회사 | Electronic device and method for providing of personalized workout guide therof |
| CN106999106A (en) * | 2014-12-02 | 2017-08-01 | 皇家飞利浦有限公司 | The system and method for generating health data for the measurement result using wearable device |
| US20170333752A1 (en) * | 2016-05-19 | 2017-11-23 | Polar Electro Oy | Enhancing monitoring of swimming |
| 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 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10206345B3 (en) * | 2002-02-14 | 2004-01-22 | Wolfgang Held | training aid |
| CN103727959B (en) * | 2013-12-31 | 2016-09-14 | 歌尔声学股份有限公司 | Step-recording method and device |
| CN106175781B (en) * | 2016-08-25 | 2019-08-20 | 歌尔股份有限公司 | Utilize the method and wearable device of wearable device monitoring swimming state |
-
2018
- 2018-06-29 CN CN202010207229.8A patent/CN111282246A/en not_active Withdrawn
- 2018-06-29 CN CN201810698336.8A patent/CN108837480B/en active Active
- 2018-06-29 CN CN202010206847.0A patent/CN111388987A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106999106A (en) * | 2014-12-02 | 2017-08-01 | 皇家飞利浦有限公司 | The system and method for generating health data for the measurement result using wearable device |
| KR20170076281A (en) * | 2015-12-24 | 2017-07-04 | 삼성전자주식회사 | Electronic device and method for providing of personalized workout guide therof |
| US20170333752A1 (en) * | 2016-05-19 | 2017-11-23 | Polar Electro Oy | Enhancing monitoring of swimming |
| 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 |
| CN106237604A (en) * | 2016-08-31 | 2016-12-21 | 歌尔股份有限公司 | Wearable device and the method utilizing its monitoring kinestate |
| CN106621217A (en) * | 2016-12-06 | 2017-05-10 | 北京体育大学 | Monitoring system for training process of swimmer |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| US11801422B2 (en) | 2021-08-27 | 2023-10-31 | Institute For Information Industry | Wearable positioning device and wearable positioning method |
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| CN111282246A (en) | 2020-06-16 |
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