CN114618136B - Traction stretching movement device based on movement human science - Google Patents
Traction stretching movement device based on movement human science Download PDFInfo
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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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
- A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
- A63B21/02—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using resilient force-resisters
- A63B21/055—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using resilient force-resisters extension element type
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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
- 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
- A63B71/0686—Timers, rhythm indicators or pacing apparatus using electric or electronic means
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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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
- A63B2220/50—Force related parameters
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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
- A63B2220/62—Time or time measurement used for time reference, time stamp, master time or clock signal
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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
- A63B2230/045—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations used as a control parameter for the apparatus
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention belongs to the technical field of traction and stretching movement, and discloses a traction and stretching movement device based on the science of a moving human body, which comprises the following components: the system comprises a tension acquisition module, an electrocardiograph data acquisition module, a load monitoring module, a central control module, a traction stretching module, a consumption measurement module, a timing module and a display module. The invention carries out more sensitive detection on tiny T-wave electricity alternation in the electrocardiosignal through the load monitoring module so as to achieve the aim of traction and stretching exercise training load monitoring; simultaneously, the physical stamina that the user consumed is accurately measured through consumption measurement module to provide data reference for the user, do benefit to the more scientific reasonable planning training strategy of user, thereby improve scientificity and rationality that the user tempered, promote and temper the effect, and then improved chest expander's intelligence.
Description
Technical Field
The invention belongs to the technical field of traction and stretching movement, and particularly relates to a traction and stretching movement device based on the science of a moving human body.
Background
The stretching movement is a body building method, and the stretching movement can make the coordination between ligament muscles and joints softer, and reduce the possibility of injury. Including active stretching and passive stretching. By active stretching is meant that the action is maintained in a specific position by means of the force of contracting the muscles, rather than by other external forces, which has the advantage of increasing the flexibility of the action and the force of contracting the muscles. Passive stretching refers to the use of body weight or instruments to hold a limb in a stretched position. Is a slow and relaxed stretching, and can also play a role in reducing nerve and muscle excitability, and can be used as a good method for relaxation after the exercise is finished. However, the existing traction and stretching exercise device based on the exercise human science cannot realize traction and stretching exercise training load monitoring rapidly and conveniently; meanwhile, the physical energy consumption of the sporter cannot be measured, so that the sporter can exercise continuously by an unscientific and unreasonable training strategy, the exercise effect is poor, and even the physical energy consumption is excessive to damage the body.
In summary, the problems of the prior art are: the existing traction stretching exercise device based on the exercise human science cannot realize traction stretching exercise training load monitoring rapidly and conveniently; meanwhile, the physical energy consumption of the sporter cannot be measured, so that the sporter can exercise continuously by an unscientific and unreasonable training strategy, the exercise effect is poor, and even the physical energy consumption is excessive to damage the body.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a traction and stretching movement device based on the science of moving human bodies.
The invention is realized in such a way that a traction stretching movement device based on the science of moving human body comprises:
the system comprises a tension acquisition module, an electrocardiograph data acquisition module, a load monitoring module, a central control module, a traction stretching module, a consumption measurement module, a timing module and a display module;
the tension acquisition module is connected with the central control module and used for acquiring traction and stretching tension data;
the electrocardio data acquisition module is connected with the central control module and is used for acquiring electrocardio data in the traction and stretching process;
the load monitoring module is connected with the central control module and used for monitoring traction tensile movement load data;
the central control module is connected with the tension acquisition module, the electrocardiograph data acquisition module, the load monitoring module, the traction stretching module, the consumption measurement module, the timing module and the display module and used for controlling the normal work of each module;
the traction stretching module is connected with the central control module and is used for carrying out traction stretching through a tension rope;
the consumption measurement module is connected with the central control module and is used for measuring physical energy consumption;
the timing module is connected with the central control module and used for timing the traction stretching time;
and the display module is connected with the central control module and used for displaying tension, electrocardio, load, physical energy consumption and timing data.
Further, the load monitoring module monitors the following steps:
1) The method comprises the steps of configuring the working parameters of electrocardiograph equipment, and collecting multi-lead electrocardiograph data of a monitored object through the electrocardiograph equipment at a specific time after traction, stretching and movement load training of the monitored object to a certain extent;
2) Extracting ST-T section data of the electric signal of the electrocardiogram data center, and carrying out electrocardiography modeling on ST-T section or T wave data in the electrocardiogram data to obtain an electrocardiography diagram;
3) Calculating the time heterogeneity and the space heterogeneity of the electrocardiographic dynamic diagram to obtain traction tensile exercise training load monitoring indexes of the monitored object;
the dynamic modeling of ST-T segment or T wave data in electrocardiogram data is realized by the following method: converting the extracted ST-T section or T wave data into three-dimensional data to obtain an ST-T ring or T ring;
adopting a neural network identifier to dynamically utilize a definite learning algorithm to perform local neural network approximation on an ST-T loop or an internal system of the T loop, and obtaining the inherent dynamic characteristics of data of the ST-T segment or the T loop of the electrocardiogram;
carrying out three-dimensional visual display on the dynamic characteristics of the data of the ST-T section or the T ring of the electrocardiogram obtained by utilizing the neural network along the track of the ST-T ring or the T ring to obtain an electrocardiographic dynamic diagram; the electrocardiographic dynamic diagram comprises state information of an electrocardiographic signal ST-T section and dynamic characteristics along a ST-T section or T-ring state track;
the traction tensile exercise training load monitoring index E is obtained by calculating the spatial heterogeneity SI and the temporal heterogeneity TI of the ST-T ring or the T ring, whereinE=a×ti-b×si+c; wherein a, b and c are variable coefficients, and the traction tension exercise training load monitoring index E is determined according to the consistency of the traction tension exercise training load monitoring index E and blood test results>At 0, the traction and stretching exercise training load is overlarge, E<And at 0, the traction and stretching exercise training load is normal.
Further, when the traction tensile exercise training load monitoring index E= -0.0018TI-SI+0.4 and E >0, the traction tensile exercise training load is represented to be overlarge, and when E <0, the traction tensile exercise training load is represented to be normal;
collecting 12-lead electrocardiograms for 20-60 seconds, extracting ST-T section or T wave data of 18-20 cardiac cycles, and carrying out dynamics modeling analysis to obtain a training load monitoring index;
and (3) extracting ST-T section or T wave data of 20 cardiac cycles by acquiring a 20 second 12-lead electrocardiogram, and carrying out dynamics modeling analysis to obtain a traction and stretching exercise training load monitoring index.
Further, the consumption measurement module measures the following:
(1) Acquiring a pulling force applied to the pulling force rope by a user through speed monitoring equipment, and releasing a rebound speed value when the pulling force rope is stretched; determining a deformation coefficient corresponding to the tension rope according to the rebound speed value;
(2) And calculating the physical energy consumption value of the user according to the tensile force and the deformation coefficient.
Further, the chest expander has adjustable the regulator of pulling force rope's length, the regulator has a plurality of gears, confirm according to the resilience speed value the deformation coefficient that pulling force rope corresponds includes:
determining a current gear of the regulator according to the rebound speed value;
and obtaining the deformation coefficient corresponding to the current gear as the deformation coefficient corresponding to the tension rope, wherein different gears correspond to different preset deformation coefficients.
Further, the obtaining the deformation coefficient corresponding to the current gear includes:
and obtaining the deformation coefficients corresponding to different gears through deep learning training according to the corresponding relation between the groups of rebound speed values and the deformation coefficients in different gears.
Further, the determining the current gear of the regulator according to the rebound speed value includes:
determining a rebound speed range in which the rebound speed value is located;
and determining a corresponding gear according to the rebound speed range to serve as the current gear of the regulator, wherein different gears correspond to different preset rebound speed ranges.
Further, the calculating the physical energy consumption value of the user according to the tensile force and the deformation coefficient includes:
obtaining corresponding acting energy according to the tensile force and the deformation coefficient;
and converting the acting energy into corresponding heat to obtain the physical energy consumption value of the user.
The invention has the advantages and positive effects that: according to the invention, a load monitoring module performs dynamic modeling on an electrocardiosignal by using a novel dynamic mode modeling and identification method by using an electrocardiograph dynamic graph, dynamic characteristics in an ST segment or a T wave of the beat-by-beat electrocardiosignal are extracted, the category of the existing time-frequency characteristics and statistical characteristics which are only extracted of the electrocardiosignal is broken through, and tiny T wave electricity in the electrocardiosignal is detected in an alternating manner more sensitively, so that the aim of traction and stretching exercise training load monitoring is fulfilled, and microvoltage electrocardiograph change is detected by establishing the electrocardiograph dynamic graph through two indexes of time heterogeneity and space heterogeneity of the ST-T segment or the T wave of the electrocardiosignal, so that the aim of evaluating the traction and stretching exercise load level is fulfilled; meanwhile, when a user performs body-building exercise by using the chest expander, the consumption measurement module obtains the tension of the tension rope applied by the user and the rebound speed value when the tension rope is released after being stretched; determining a deformation coefficient corresponding to the tension rope according to the rebound speed value; and calculating the physical energy consumption value of the user according to the tensile force and the deformation coefficient. From this, can accurately measure the physical stamina that the user consumed when the user uses the chest expander to for the user provides data reference, does benefit to the more scientific and reasonable planning training strategy of user, thereby improves the scientificity and the rationality that the user tempered, promotes and tempers the effect, and then has improved the intelligence of chest expander, has also promoted user's use experience, and can effectively avoid the user to harm the condition of health because of the excessive consumption of physical stamina when taking exercise, thereby improves the security of taking exercise.
Drawings
Fig. 1 is a block diagram of a traction and stretching exercise device based on the science of exercise human body according to the embodiment of the invention.
Fig. 2 is a flowchart of a method for monitoring a load monitoring module according to an embodiment of the present invention.
Fig. 3 is a flowchart of a measurement method of a consumption measurement module according to an embodiment of the present invention.
In fig. 1: 1. a tension acquisition module; 2. an electrocardiograph data acquisition module; 3. a load monitoring module; 4. a central control module; 5. a traction stretching module; 6. a consumption measurement module; 7. a timing module; 8. and a display module.
Detailed Description
For a further understanding of the invention, its features and advantages, reference is now made to the following examples, which are illustrated in the accompanying drawings.
The structure of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the traction and stretching exercise device based on the exercise human science provided by the embodiment of the invention comprises: the device comprises a tension acquisition module 1, an electrocardiograph data acquisition module 2, a load monitoring module 3, a central control module 4, a traction stretching module 5, a consumption measurement module 6, a timing module 7 and a display module 8.
The tension acquisition module 1 is connected with the central control module 4 and is used for acquiring traction tension data;
the electrocardio data acquisition module 2 is connected with the central control module 4 and is used for acquiring electrocardio data in the traction and stretching process;
the load monitoring module 3 is connected with the central control module 4 and is used for monitoring traction tensile movement load data;
the central control module 4 is connected with the tension acquisition module 1, the electrocardiograph data acquisition module 2, the load monitoring module 3, the traction stretching module 5, the consumption measurement module 6, the timing module 7 and the display module 8 and is used for controlling the normal work of each module;
the traction and stretching module 5 is connected with the central control module 4 and is used for traction and stretching through a tension rope;
the consumption measurement module 6 is connected with the central control module 4 and is used for measuring physical energy consumption;
the timing module 7 is connected with the central control module 4 and is used for timing the traction stretching time;
and the display module 8 is connected with the central control module 4 and is used for displaying tension, electrocardio, load, physical energy consumption and timing data.
As shown in fig. 2, the method for monitoring the load monitoring module 3 provided by the invention is as follows:
s101, configuring the working parameters of electrocardiograph equipment, and acquiring multi-lead electrocardiograph data of a monitored object through the electrocardiograph equipment at a specific time after traction, stretching and movement load training of the monitored object to a certain extent;
s102, extracting ST-T segment data of the electric signal of the electrocardiogram data center, and carrying out electrocardiography modeling on ST-T segment or T wave data in the electrocardiogram data to obtain an electrocardiography diagram;
s103, calculating the time heterogeneity and the space heterogeneity of the electrocardiographic dynamic diagram to obtain traction tensile exercise training load monitoring indexes of the monitored object;
the dynamic modeling of ST-T segment or T wave data in electrocardiogram data is realized by the following method: converting the extracted ST-T section or T wave data into three-dimensional data to obtain an ST-T ring or T ring;
adopting a neural network identifier to dynamically utilize a definite learning algorithm to perform local neural network approximation on an ST-T loop or an internal system of the T loop, and obtaining the inherent dynamic characteristics of data of the ST-T segment or the T loop of the electrocardiogram;
carrying out three-dimensional visual display on the dynamic characteristics of the data of the ST-T section or the T ring of the electrocardiogram obtained by utilizing the neural network along the track of the ST-T ring or the T ring to obtain an electrocardiographic dynamic diagram; the electrocardiographic dynamic diagram comprises state information of an electrocardiographic signal ST-T section and dynamic characteristics along a ST-T section or T-ring state track;
the space heterogeneity SI and the time heterogeneity TI of the ST-T ring or the T ring are calculated to obtain a traction stretching exercise training load monitoring index E, wherein,e=a×ti-b×si+c; wherein a, b and c are variable coefficients, and the traction tension exercise training load monitoring index E is determined according to the consistency of the traction tension exercise training load monitoring index E and blood test results>At 0, the traction and stretching exercise training load is overlarge, E<And at 0, the traction and stretching exercise training load is normal.
The traction tension exercise training load monitoring index E= -0.0018TI-SI+0.4, when E >0, the traction tension exercise training load is overlarge, and when E <0, the traction tension exercise training load is normal;
collecting 12-lead electrocardiograms for 20-60 seconds, extracting ST-T section or T wave data of 18-20 cardiac cycles, and carrying out dynamics modeling analysis to obtain a training load monitoring index;
and (3) extracting ST-T section or T wave data of 20 cardiac cycles by acquiring a 20 second 12-lead electrocardiogram, and carrying out dynamics modeling analysis to obtain a traction and stretching exercise training load monitoring index.
As shown in fig. 3, the consumption measurement module 6 provided by the invention measures as follows:
s201, acquiring the tension applied to the tension rope by a user and a rebound speed value when the tension rope is released after being stretched through speed monitoring equipment; determining a deformation coefficient corresponding to the tension rope according to the rebound speed value;
s202, calculating the physical energy consumption value of the user according to the tensile force and the deformation coefficient.
The chest expander provided by the invention is provided with an adjustor capable of adjusting the length of the tension rope, the adjustor is provided with a plurality of gears, and the deformation coefficient corresponding to the tension rope is determined according to the rebound speed value, and the chest expander comprises the following components:
determining a current gear of the regulator according to the rebound speed value;
and obtaining the deformation coefficient corresponding to the current gear as the deformation coefficient corresponding to the tension rope, wherein different gears correspond to different preset deformation coefficients.
The method for acquiring the deformation coefficient corresponding to the current gear comprises the following steps:
and obtaining the deformation coefficients corresponding to different gears through deep learning training according to the corresponding relation between the groups of rebound speed values and the deformation coefficients in different gears.
The invention provides a method for determining the current gear of the regulator according to the rebound speed value, which comprises the following steps:
determining a rebound speed range in which the rebound speed value is located;
and determining a corresponding gear according to the rebound speed range to serve as the current gear of the regulator, wherein different gears correspond to different preset rebound speed ranges.
The invention provides a method for calculating the physical energy consumption value of a user according to the tensile force and the deformation coefficient, which comprises the following steps:
obtaining corresponding acting energy according to the tensile force and the deformation coefficient;
and converting the acting energy into corresponding heat to obtain the physical energy consumption value of the user.
When the invention works, firstly, traction and stretching tension data are collected through a tension collecting module 1; the electrocardiographic data acquisition module 2 is used for acquiring electrocardiographic data in the traction and stretching process; monitoring traction tensile movement load data through a load monitoring module 3; secondly, the central control module 4 performs traction and stretching by using a traction and stretching module 5 through a tension rope; measuring physical energy consumption by the consumption measuring module 6; then, the traction stretching time is counted by a counting module 7; finally, the tension, electrocardiograph, load, physical energy consumption and timing data are displayed through the display module 8.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the invention in any way, but any simple modification, equivalent variation and modification of the above embodiments according to the technical principles of the present invention are within the scope of the technical solutions of the present invention.
Claims (6)
1. Traction stretching exercise device based on motion human science, characterized in that, traction stretching exercise device based on motion human science includes:
the tension acquisition module is connected with the central control module and used for acquiring traction and stretching tension data;
the electrocardio data acquisition module is connected with the central control module and is used for acquiring electrocardio data in the traction and stretching process;
the load monitoring module is connected with the central control module and used for monitoring traction tensile movement load data;
the central control module is connected with the tension acquisition module, the electrocardiograph data acquisition module, the load monitoring module, the traction stretching module, the consumption measurement module, the timing module and the display module and used for controlling the normal work of each module;
the traction stretching module is connected with the central control module and is used for carrying out traction stretching through a tension rope;
the consumption measurement module is connected with the central control module and is used for measuring physical energy consumption;
the timing module is connected with the central control module and used for timing the traction stretching time;
the display module is connected with the central control module and used for displaying tension, electrocardio, load, physical energy consumption and timing data;
the monitoring method of the load monitoring module comprises the following steps:
1) The method comprises the steps of configuring the working parameters of electrocardiograph equipment, and collecting multi-lead electrocardiograph data of a monitored object through the electrocardiograph equipment at a specific time after traction, stretching and movement load training of the monitored object to a certain extent;
2) Extracting ST-T section data of the electric signal of the electrocardiogram data center, and carrying out electrocardiography modeling on ST-T section or T wave data in the electrocardiogram data to obtain an electrocardiography diagram;
3) Calculating the time heterogeneity and the space heterogeneity of the electrocardiographic dynamic diagram to obtain traction tensile exercise training load monitoring indexes of the monitored object;
the dynamic modeling of ST-T segment or T wave data in electrocardiogram data is realized by the following method: converting the extracted ST-T section or T wave data into three-dimensional data to obtain an ST-T ring or T ring;
adopting a neural network identifier to dynamically utilize a definite learning algorithm to perform local neural network approximation on an ST-T loop or an internal system of the T loop, and obtaining the inherent dynamic characteristics of data of the ST-T segment or the T loop of the electrocardiogram;
carrying out three-dimensional visual display on the dynamic characteristics of the data of the ST-T section or the T ring of the electrocardiogram obtained by utilizing the neural network along the track of the ST-T ring or the T ring to obtain an electrocardiographic dynamic diagram; the electrocardiographic dynamic diagram comprises state information of an electrocardiographic signal ST-T section and dynamic characteristics along a ST-T section or T-ring state track;
the traction tensile exercise training load monitoring index E is obtained by calculating the spatial heterogeneity SI and the temporal heterogeneity TI of the ST-T ring or the T ring, whereinE＝a×TI-b×SI+c；
Wherein a, b and c are variable coefficients, which are determined according to the consistency of the traction tensile exercise training load monitoring index E and the blood test result, when the traction tensile exercise training load monitoring index E is more than 0, the traction tensile exercise training load is overlarge, and when E is less than 0, the traction tensile exercise training load is normal;
the monitoring index E= -0.0018TI-SI+0.4, when E >0, the monitoring index represents that the traction tension exercise training load is overlarge, and when E <0, the monitoring index represents that the traction tension exercise training load is normal;
collecting 12-lead electrocardiograms for 20-60 seconds, extracting ST-T section or T wave data of 18-20 cardiac cycles, and carrying out dynamics modeling analysis to obtain a training load monitoring index;
and (3) extracting ST-T section or T wave data of 20 cardiac cycles by acquiring a 20 second 12-lead electrocardiogram, and carrying out dynamics modeling analysis to obtain a traction and stretching exercise training load monitoring index.
2. The traction and stretching exercise device based on the exercise human science as set forth in claim 1, wherein the consumption measurement module measures the following:
(1) Acquiring a pulling force applied to the pulling force rope by a user through speed monitoring equipment, and releasing a rebound speed value when the pulling force rope is stretched; determining a deformation coefficient corresponding to the tension rope according to the rebound speed value;
(2) And calculating the physical energy consumption value of the user according to the tensile force and the deformation coefficient.
3. The traction and stretching exercise device based on exercise science according to claim 2, wherein the chest expander has an adjuster that can adjust the length of the tension rope, the adjuster has a plurality of gears, and the determining the deformation coefficient corresponding to the tension rope according to the rebound velocity value includes:
determining a current gear of the regulator according to the rebound speed value;
and obtaining the deformation coefficient corresponding to the current gear as the deformation coefficient corresponding to the tension rope, wherein different gears correspond to different preset deformation coefficients.
4. The traction and stretching exercise device based on exercise body science according to claim 3, wherein the obtaining the deformation coefficient corresponding to the current gear comprises:
and obtaining the deformation coefficients corresponding to different gears through deep learning training according to the corresponding relation between the groups of rebound speed values and the deformation coefficients in different gears.
5. A traction and extensional exercise device based on sports body science according to claim 3 wherein said determining the current gear of said regulator from said rebound velocity value comprises:
determining a rebound speed range in which the rebound speed value is located;
and determining a corresponding gear according to the rebound speed range to serve as the current gear of the regulator, wherein different gears correspond to different preset rebound speed ranges.
6. A traction and stretching exercise device based on exercise science as set forth in claim 3, wherein said calculating the physical energy consumption value of the user based on said tension and said deformation coefficient comprises:
obtaining corresponding acting energy according to the tensile force and the deformation coefficient;
and converting the acting energy into corresponding heat to obtain the physical energy consumption value of the user.
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