CN109550222A - Electric body building training method, system and readable storage medium storing program for executing - Google Patents
Electric body building training method, system and readable storage medium storing program for executing Download PDFInfo
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- CN109550222A CN109550222A CN201910021449.9A CN201910021449A CN109550222A CN 109550222 A CN109550222 A CN 109550222A CN 201910021449 A CN201910021449 A CN 201910021449A CN 109550222 A CN109550222 A CN 109550222A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
-
- 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
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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
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
- A63B2024/0012—Comparing movements or motion sequences with a registered reference
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0625—Emitting sound, noise or music
- A63B2071/063—Spoken or verbal instructions
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B2071/065—Visualisation of specific exercise parameters
-
- 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
- A63B2071/0691—Maps, e.g. yardage maps or electronic maps
-
- 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
- A63B2230/60—Measuring physiological parameters of the user muscle strain, i.e. measured on the user
- A63B2230/605—Measuring physiological parameters of the user muscle strain, i.e. measured on the user used as a control parameter for the apparatus
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- Physical Education & Sports Medicine (AREA)
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- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention provides a kind of electric body building training method, comprising: receives selection instruction, determines the corresponding training mode of the selection instruction；If the training mode is anaerobic exercise mode, first biofeedback data and first training data of the user in the anaerobic exercise mode are acquired；First biofeedback data and the first training data are put into preset model and are trained, to obtain training result, and determines whether current training is normal according to the training result；If currently training abnormal, the myoelectricity data of each muscle group of user are obtained, and generate muscle group training comparison diagram based on the myoelectricity data and correct information, so that user corrects training action.The present invention also provides a kind of electric body building training system and readable storage medium storing program for executing.This hair is capable of the training action of timely system call interception user, avoids the injury to user's body, improves user for body-building efficiency.
Description
Technical field
The present invention relates to body-building field more particularly to a kind of electric body building training methods, system and readable storage medium storing program for executing.
Background technique
Currently, usually being carried out according to the exercise time table that specialized coaches are formulated different when user carries out fitness training
Exercise or user oneself according to the exercise sample that providing in book or magazine or software program provides carry out different exercises,
Exercise may include being taken exercise using influence of Aerobic Exercise and anaerobic exercise, and influence of Aerobic Exercise includes stationary bicycle, treadmill
Deng influence of Aerobic Exercise includes the strength buildings such as instrument pushes away chest, dumbbell is rowed the boat.The intensity of exercise depends on user's spirit shape
Condition and physical condition, currently, artificial guidance training user's body situation unable to monitor and mental status, can not intuitively according to
Family training muscle group corrects the training action of user, to be unfavorable for user's body health, so that body-building low efficiency.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of electric body building training method, system and readable storage medium storing program for executing, it is intended to
Artificial guidance training user's body situation unable to monitor and mental status are solved, can not intuitively be corrected according to user's training muscle group
The training action of user, thus the problem of being unfavorable for user's body health, body-building low efficiency.
To achieve the above object, the present invention provides a kind of electric body building training method, the electric body building training method packet
Include following steps:
Selection instruction is received, determines the corresponding training mode of the selection instruction；
If the training mode is anaerobic exercise mode, first biology of the user in the anaerobic exercise mode is acquired
Feedback data and the first training data；
First biofeedback data and the first training data are put into preset model and are trained, to be trained
As a result, and determining whether current training is normal according to the training result；
If currently training abnormal, the myoelectricity data of each muscle group of user are obtained, and generate based on the myoelectricity data
Muscle group training comparison diagram and correction information, so that user corrects training action.
Preferably, described to generate muscle group training comparison diagram based on the myoelectricity data and correct information, so that user corrects
The step of training action includes:
The myoelectricity data are compared with normal data, to obtain comparison result, and result obtains based on the comparison
Take the variance data of the myoelectricity data and normal data；
The training muscle group of user is determined based on the variance data, and the current training action of user is divided
Analysis, determines whether the current training action is correct；
If the current training action is incorrect, generates muscle group training comparison diagram and correct information, so that user corrects
Training action.
Preferably, the training muscle group that user is determined based on the variance data, and the current training to user
Movement is analyzed, and after determining the whether correct step of the current training action, the electric body building training method is also wrapped
It includes:
If the current training action is correct, current muscular strength grade is calculated based on the myoelectricity data；
Determine the muscular strength grade whether less than the first predetermined level；
If the muscular strength grade is less than predetermined level, switch the sense organ file currently exported, to improve the training of user
Passion.
Preferably, if the current training action is correct, current muscular strength etc. is calculated based on the myoelectricity data
After the step of grade, the electric body building training method further include:
Determine whether the muscular strength grade is greater than the second predetermined level；
If the muscular strength grade is greater than second predetermined level, the current training data of user's adjustment currently is prompted.
Preferably, the reception selection instruction, it is described after the step of determining the selection instruction corresponding training mode
Electric body building training method further include:
If the training mode is aerobic training mode, it is anti-to acquire second biology of the user in the aerobic training mode
Present data；
The second training data of user is calculated based on second biofeedback data, and according to second training data
Prompting message is generated, the prompting message is exported.
Preferably, second training data that user is calculated based on the biofeedback data, and according to described second
After the step of training data generates prompting message, exports the prompting message, the electric body building training method further include:
Second biofeedback data described in real-time monitoring, determines whether second biofeedback data is greater than present count
According to；
If second biofeedback data is greater than preset data, the trained equipment deconditioning is controlled, into slow
Punch die formula.
Preferably, the electric body building training method further include:
The personal information of user is obtained, and calculates the body fat rate of user based on the personal information；
It is that user formulates drill program based on the personal information and the body fat rate, wherein the drill program includes
Training program, training action, training time and diet planning.
Preferably, the electric body building training method further include:
When user's training is completed, based on first biofeedback data, first training data, second life
Object feedback data and second training data generate training report；
And the consumption energy value of user's this time training is obtained according to training report, it is to calculate user according to the personal information
The intake energy value this time required supplementation with after training, and recommend the corresponding source food of the intake energy value.
In addition, to achieve the above object, the present invention also provides a kind of electric body building training system, the electric body building training
System includes processor, memory and is stored on the memory and can be instructed by the electric body building that the processor executes
Practice program, wherein realizing such as above-mentioned electric body building training side when the electric body building training program is executed by the processor
The step of method.
In addition, to achieve the above object, the present invention also provides a kind of readable storage medium storing program for executing, being deposited on the readable storage medium storing program for executing
Electric body building training program is contained, wherein realizing such as above-mentioned electronics when the electric body building training program is executed by processor
The step of fitness training method.
The present invention provides a kind of electric body building training method, system and readable storage medium storing program for executing, and the present invention is by receiving selection
Instruction, determines the corresponding training mode of the selection instruction, if then the training mode is anaerobic exercise mode, acquires use
First biofeedback data and first training data of the family in the anaerobic exercise mode, then by first biofeedback
Data and the first training data are put into preset model and are trained, to obtain training result, and it is true according to the training result
Whether training is normal before settled, if finally currently training abnormal, obtains the myoelectricity data of each muscle group of user, and be based on institute
It states myoelectricity data to generate muscle group training comparison diagram and correct information, so that user corrects training action；It is thus achieved that user
First biofeedback data and myoelectricity data are detected, so as to be used according to the physical condition of user and mental status adjustment
The training action at family avoids the injury to user's body, improves user for body-building efficiency.
Detailed description of the invention
Fig. 1 is the hardware structural diagram for the electric body building training system that various embodiments of the present invention are related to；
Fig. 2 is the flow diagram of electric body building training method first embodiment of the present invention；
Fig. 3 is the flow diagram of electric body building training method second embodiment of the present invention；
Fig. 4 is the flow diagram of electric body building training method 3rd embodiment of the present invention；
Fig. 5 is the flow diagram of electric body building training device fourth embodiment of the present invention；
Fig. 6 is the flow diagram of the 5th embodiment of electric body building training method of the present invention；
Fig. 7 is the flow diagram of electric body building training method sixth embodiment of the present invention；
Fig. 8 is the flow diagram of the 7th embodiment of electric body building training method of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
As shown in Figure 1, Fig. 1 is the structure of the affiliated terminal of system in hardware running environment that the embodiment of the present invention is related to
Schematic diagram.
The terminal of that embodiment of the invention can be PC.As shown in Figure 1, the terminal may include: processor 1001, such as CPU,
Network interface 1004, user interface 1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing this
Connection communication between a little components.User interface 1003 may include display screen (Display), input unit such as keyboard
(Keyboard), optional user interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 is optional
May include standard wireline interface and wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory,
It is also possible to stable memory (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally may be used also
To be independently of the storage device of aforementioned processor 1001.
Optionally, terminal can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor, audio
Circuit, WiFi module etc..Wherein, sensor such as optical sensor, motion sensor and other sensors.Specifically, light
Sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can according to the light and shade of ambient light come
The brightness of display screen is adjusted, proximity sensor can close display screen and/or backlight when mobile management terminal is moved in one's ear.
As a kind of motion sensor, gravity accelerometer can detect the size of (generally three axis) acceleration on direction, quiet
Size and the direction that can detect that gravity when only, can be used to identify mobile management terminal posture application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Certainly, mobile management is whole
End can also configure the other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, and details are not described herein.
It will be understood by those skilled in the art that the restriction of the not structure paired terminal of terminal structure shown in Fig. 1, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include operation server, network in a kind of memory 1005 of computer storage medium
Communication module, Subscriber Interface Module SIM and electric body building training program.
In terminal shown in Fig. 1, network interface 1004 is mainly used for connecting background server, carries out with background server
Data communication；User interface 1003 is mainly used for connecting client (user terminal), carries out data communication with client；And processor
1001 can be used for calling the electric body building training program stored in memory 1005.
In the present embodiment, device includes: memory 1005, processor 1001 and is stored on the memory 1005 simultaneously
The electric body building training program that can be run on the processor 1001, wherein processor 1001 calls to be deposited in memory 1005
When the electric body building training program of storage, following operation is executed:
Selection instruction is received, determines the corresponding training mode of the selection instruction；
If the training mode is anaerobic exercise mode, first biology of the user in the anaerobic exercise mode is acquired
Feedback data and the first training data；
First biofeedback data and the first training data are put into preset model and are trained, to be trained
As a result, and determining whether current training is normal according to the training result；
If currently training abnormal, the myoelectricity data of each muscle group of user are obtained, and generate based on the myoelectricity data
Muscle group training comparison diagram and correction information, so that user corrects training action.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
The myoelectricity data are compared with normal data, to obtain comparison result, and result obtains based on the comparison
Take the variance data of the myoelectricity data and normal data；
The training muscle group of user is determined based on the variance data, and the current training action of user is divided
Analysis, determines whether the current training action is correct；
If the current training action is incorrect, generates muscle group training comparison diagram and correct information, so that user corrects
Training action.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
If the current training action is correct, current muscular strength grade is calculated based on the myoelectricity data；
Determine the muscular strength grade whether less than the first predetermined level；
If the muscular strength grade is less than predetermined level, switch the sense organ file currently exported, to improve the training of user
Passion.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
Determine whether the muscular strength grade is greater than the second predetermined level；
If the muscular strength grade is greater than second predetermined level, the current training data of user's adjustment currently is prompted.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
If the training mode is aerobic training mode, it is anti-to acquire second biology of the user in the aerobic training mode
Present data；
The second training data of user is calculated based on second biofeedback data, and according to second training data
Prompting message is generated, the prompting message is exported.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
Second biofeedback data described in real-time monitoring, determines whether second biofeedback data is greater than present count
According to；
If second biofeedback data is greater than preset data, and controls the trained equipment deconditioning, enter
Buffer mode.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
The personal information of user is obtained, and calculates the body fat rate of user based on the personal information；
It is that user formulates drill program based on the personal information and the body fat rate, wherein the drill program includes
Training program, training action, training time and diet planning.
Further, processor 1001 can call the electric body building training method program stored in memory 1005, also
Execute following operation:
When user's training is completed, based on first biofeedback data, first training data, second life
Object feedback data and second training data generate training report；
And the consumption energy value of user's this time training is obtained according to training report, it is to calculate user according to the personal information
The intake energy value this time required supplementation with after training, and recommend the corresponding source food of the intake energy value.
The present invention further provides a kind of electric body building training methods.It is electric body building of the present invention training referring to Fig. 2, Fig. 2
The flow diagram of method first embodiment.
In the present embodiment, which includes:
Step S10 receives selection instruction, determines the corresponding training mode of the selection instruction；
In the present embodiment, user can select training mode, training mode packet by wearable device or terminal etc.
Aerobic training mode and anaerobic exercise mode are included, each training mode includes different training program, and aerobic training mode includes
Spinning, running training etc., anaerobic exercise mode include various strength buildings, are instructed mainly for big muscle group and small muscle group
Practice, for example, dumbbell it is sleeping push away, chin-up, instrument folder chest, dumbbell flying bird etc..For anaerobic exercise, for same position can be with
It is trained by different training action combinations, so, after selecting training mode, it is also an option that training position, instruction
Practice position include move back, chest, hand, shoulder, back etc. will recommend the training action of training when selecting training position, the training action
Recommend that selection key can be carried out by the body-building information that user inputs before training, which includes strong age, height, body
Weight, bust, shoulder breadth etc..Because the physical fitness of different body-building users is different, difference can be matched according to different body-building information
Training action reach higher body-building effect to formulate different drill programs.
Step S20 acquires user in the anaerobic exercise mode if the training mode is anaerobic exercise mode
First biofeedback data and the first training data；
In the present embodiment, which includes heart rate, blood pressure, pulse frequency of body-building user etc., this
One training data includes training time, set, frequency of training of every group of training etc., can pass through the biography on wearable device
Sensor acquires first biofeedback data and first training data of the user in anaerobic exercise mode, according to the first biofeedback
Data and the first training data may determine that user, and currently whether training is normal.
First biofeedback data and the first training data are put into preset model and are trained by step S30, with
Training result is obtained, and determines whether current training is normal according to the training result；
In the present embodiment, first biofeedback data of the user under different physical conditions is different, for example, body is tired
Lao Shi, heart rate, blood pressure will all change.When the training action of body-building user is nonstandard, user will feel that training it is painstaking,
Or training is abnormal light, user is painstaking or when training is abnormal light in sense culture, and the first biofeedback data also will be different.
Also, the first training data difference also lead to the first biofeedback data difference, for example, user just start train when and training
Heart rate will will increase after half an hour.So can according to preset model to the first biofeedback data and the first training data into
First biofeedback data and the first training data are specifically substituted into preset model as input set and carry out mould by row training
Type operation, whether detection first biofeedback data in the first different training datas is normal, and exports training result, according to
Whether the current training of training result analysis is normal, determines under the premise of preset data, whether the first biofeedback data is normal.
Step S40 obtains the myoelectricity data of each muscle group of user, and be based on the myoelectricity if currently training abnormal
Data generate muscle group training comparison diagram and correct information, so that user corrects training action.
In the present embodiment, the acquisition device of wearable device can convert myoelectricity number for collected electromyography signal
According to the myoelectricity data include action potential, electrode impedance value, emg amplitude, and myoelectricity data and preset normal data are carried out
Compare, obtain the variance data of myoelectricity data and normal data, which can embody body-building user training in body-building
The difference of training muscle group when muscle group and standard operation training, because when training action mistake, the muscle group of actual motion is not
The muscle group that training is directed to may will pull a muscle instead.So can determine current training action whether just according to variance data
Really.
Further, muscle group training comparison diagram refers to the muscle group movement effects figure under the movement of user's error training and correct instruction
Practice the comparison diagram of the muscle group movement effects figure under movement, it specifically, can be with the first color under the movement of user's error training
The muscle group trained is rendered, with the second color to the training under correct training action to muscle group render, with third
Color renders muscle group corresponding in variance data, and the effect of lower movement muscle group is acted so as to intuitively misjudgment
Figure.
Further, if detecting, training action is incorrect, can also generate correction information, which is for use
The muscle group trained under the malfunction of family speculates movement that user currently trains, and current training is determined according to standard operation
Movement need the posture that adjusts, which includes user action offset direction, angle, raising height etc., for difference
Movement will generate different correction information, which can be exported by forms such as voice, videos, inform user how
Adjusting training movement.
The electric body building training method that the present embodiment proposes determines that the selection instruction is corresponding by receiving selection instruction
Training mode, if then the training mode be anaerobic exercise mode, acquire user in the anaerobic exercise mode
First biofeedback data and the first training data are then put into pre- by the first biofeedback data and the first training data
If being trained in model, to obtain training result, and determine whether current training is normal according to the training result, if last
It currently trains abnormal, then obtains the myoelectricity data of each muscle group of user, and generate muscle group training pair based on the myoelectricity data
Than scheming and correcting information, so that user corrects training action；Realize to the first biofeedback data of user and myoelectricity data into
Row detection, so as to avoid to user's body according to the training action of the physical condition of user and mental status adjustment user
The injury of body improves user for body-building efficiency.
Based on first embodiment, the second embodiment of electric body building training method of the present invention is proposed, referring to Fig. 3, this implementation
In example, step S40 includes:
The myoelectricity data are compared by step S41 with normal data, to obtain comparison result, and are based on the ratio
Relatively result obtains the variance data of the myoelectricity data and normal data；
Step S42 determines the training muscle group of user based on the variance data, and to the current training action of user
It is analyzed, determines whether the current training action is correct；
Step S43 generates muscle group training comparison diagram and corrects information if the current training action is incorrect, so that
User corrects training action.
In the present embodiment, in body-building user for body-building, it will be repeated as many times and trained with some movement, complete one group of instruction
Practice, rests the preset time after completing one group of training, for example, 30 seconds.The sensor of wearable device can acquire user and exist
Myoelectricity data in one group of training action, and identifying processing is carried out to collected myoelectricity data, it determines in each myoelectricity data
Active section, each absolute value average ratio for enlivening section is extracted, and the average ratio is inputted into preset classifier, to identify
The movement of body-building corresponding to each section of myoelectricity data.When body-building user action sends mistake, myoelectricity data will also change, will
Collected myoelectricity data are compared with normal data, the variance data of myoelectricity data and normal data are calculated, according to difference
Data determine the training muscle group of user, which refers to the training muscle group that the current training action of user is trained, Yong Huxun
When practicing movement generation mistake, the training muscle group trained is different from the standard exercise muscle group trained when correct action training, root
Current training action is determined according to collected myoelectricity data, and training muscle group and standard exercise muscle group are determined according to variance data
Difference muscle group, according to the myoelectricity data of difference muscle group analyze body-building user current training action, and by current training action with
Standard exercise movement compares, and whether correct determines current training action, if training action is incorrect, generates muscle group training
Comparison diagram and correction information, prompt user to correct training action.
The electric body building training method that the present embodiment proposes, by the way that the myoelectricity data are compared with normal data,
To obtain comparison result, and result obtains the variance data of the myoelectricity data and normal data based on the comparison, then base
The training muscle group of user is determined in the variance data, and the current training action of user is analyzed, described in determination
Whether current training action is correct, if the last current training action is incorrect, generates muscle group training comparison diagram and correction
Information, so that user corrects training action；It realizes and determines whether current action is correct, allows the user to according to comparison result
Correct malfunction.
Based on second embodiment, the 3rd embodiment of electric body building training method of the present invention is proposed, referring to Fig. 4, this implementation
In example, after step S42, further includes:
Step S44 calculates current muscular strength grade based on the myoelectricity data if the current training action is correct；
Whether step S45 determines the muscular strength grade less than the first predetermined level；
Step S46 switches the sense organ file currently exported, if the muscular strength grade is less than predetermined level to improve use
The training passion at family.
In the present embodiment, user in the training process, the muscular strength etc. when difference training periods or different weight training
Grade is different, which can determine according to myoelectricities data such as action potential, emg amplitudes in myoelectricity data, muscular strength grade
Represent the force level of contraction of muscle.
Further, to the muscular strength of user also by certain influence of formation, extraneous stimulation includes view for extraneous stimulation
Feel stimulation and auditory stimulation, can play video by the sense organ file of output video in display terminal and carry out environmental stimuli, or
The sense organ file for exporting music carries out stimulus of music by earphone, which can also classify, for example, different rhythm
Music it is different to the stimulation of body-building user, generally, the faster music of rhythm can evoke the passion of user, and body-building user is made to exist
The training that strength is challenged when being trained, improves muscular strength grade when user's training, and the slow music of rhythm can allow body-building to use
Family relaxs one's muscles, and reduces the muscular strength grade of user.So when user is trained, the flesh currently trained by detecting user
Power grade, it is determined whether less than the first predetermined level, the muscular strength grade phase of user at this time is illustrated if less than the first predetermined level
It is relatively low for standard muscular strength grade, expected training effect is not achieved, then can switch the sense organ file currently exported, for example,
Currently playing music is adjusted to allegro music, the passion of user can be stimulated when user feels tired, is mentioned
The high muscular strength grade of user.
The electric body building training method that the present embodiment proposes, if correct by the current training action, based on described
Myoelectricity data calculate current muscular strength grade, then determine the muscular strength grade whether less than the first predetermined level, if last institute
Muscular strength grade is stated less than predetermined level, then switches the sense organ file currently exported, to improve the training passion of user；Realize energy
It is enough to switch sense organ file when muscular strength grade is less than the first predetermined level, so that the training passion of user is improved, to help
User can reach more preferably training effect.
Based on 3rd embodiment, the fourth embodiment of electric body building training method of the present invention is proposed, referring to Fig. 5, this implementation
In example, after step S44, further includes:
Step S47, determines whether the muscular strength grade is greater than the second predetermined level；
Step S48 prompts the current instruction of user's adjustment currently if the muscular strength grade is greater than second predetermined level
Practice data.
In the present embodiment, in training due to firmly excessive, or training preponderance is easy to cause body user
Injury, and the default muscular strength grade being arranged in the different training periods is different, for example, when user just starts to train, Ke Yixian
It selects lower trained weight to be practiced, then aggravates training weight, so that muscle is allowed to have the process loosened, so, it can
To detect muscular strength grade when user's training, and determine whether muscular strength grade is greater than the second predetermined level, it is default if more than second
Grade, then it is assumed that user trains weight process at this time, needs to reduce trained weight, then generates prompt information prompt user's adjustment and work as
Preceding current training data, the current training data include trained weight, set and every group of frequency of training, to be strong
Body user provides reasonable body-building planning in real time.
The electric body building training method that the present embodiment proposes, it is default etc. by the way that whether the determination muscular strength grade is greater than second
Grade prompts the current training data of user's adjustment currently if then the muscular strength grade is greater than second predetermined level；From
And avoid user's pulled muscle etc. during body-building and injure, to further improve training effect.
Based on first embodiment, the 5th embodiment of electric body building training method of the present invention is proposed, referring to Fig. 6, this implementation
In example, after step S10, further includes:
Step S50 acquires the of user in the aerobic training mode if the training mode is aerobic training mode
Two biofeedback datas；
Step S60 calculates the second training data of user based on second biofeedback data, and according to described second
Training data generates prompting message, exports the prompting message.
In the present embodiment, aerobic training mode includes the projects such as Spinning, running, and certain aerobic training can mention
The cardio-pulmonary function of high people, but aerobic training must carry out reasonable training, excessive aerobic training meeting according to the physical fitness of user
It causes anoxic, blood pressure to increase, to aggravate the load of heart, therefore, when body-building user enters anaerobic exercise mode, needs to acquire
Second biofeedback data of the body-building user in anaerobic exercise mode, the second biofeedback data include blood pressure, heart rate etc..
Further, second biofeedback data of the user of different physical fitness when carrying out anaerobic exercise is different, example
Such as, some body-building user just felt painstaking at treadmill training 10 minutes, and it is more than normal range (NR) that heart rate, which increases, then belonged to abnormal
Phenomenon, and some body-building user feels very light in 30 minutes in treadmill training, heart rate is maintained within normal range (NR).So
The second training data that user can be estimated according to collected second biological data, when which includes training
Between, training speed etc..Specifically, the second biofeedback data in preset time period can be acquired, the second biofeedback is analyzed
The situation of change of data generates the function of the second training data and the second biofeedback data according to situation of change, wherein second
Training data is dependent variable, and the second biofeedback data is independent variable, according to the function of generation and preset default biofeedback
Data value estimates the second training data, i.e., estimates the second training data according to the changing rule of the second biofeedback data, and raw
At prompting message, the prompting message is exported, for example, according to the changes in heart rate of user and the function of generation estimation user this race
A length of half an hour when step, then prompting this running duration suggestion of user is half an hour.Prompting mode can by voice, subtitle or
Person's video etc. prompts.
After step S60, further includes:
Step S70, the second biofeedback data described in real-time monitoring, determines whether second biofeedback data is greater than
Preset data；
Step S80 if second biofeedback data is greater than preset data, and controls the trained equipment and stops instruction
Practice, into buffer mode.
In the present embodiment, in anaerobic exercise mode, the second biofeedback data of user is measured in real time, and
Determine whether the second biofeedback data is greater than preset data, if more than then illustrating that user needs deconditioning, controlled training is set
Standby deconditioning, into buffer mode, which refers to that trained equipment is reduced to preset speed, to avoid speed
Rapid drawdown bring actual bodily harm, for example, user is in real time monitored the heart rate of user when carrying out running training, if detection
When being greater than preset threshold to the heart rate value of user, then treadmill deconditioning mode is controlled, into buffer mode, reduces treadmill
Running speed.
The electric body building training method that the present embodiment proposes is determined by the second biofeedback data described in real-time monitoring
Whether second biofeedback data is greater than preset data, if then second biofeedback data is greater than preset data,
Then and control the trained equipment deconditioning, into buffer mode, and the second biofeedback data described in real-time monitoring, it determines
Whether second biofeedback data is greater than preset data, if second biofeedback data is greater than preset data, simultaneously
The trained equipment deconditioning is controlled, into buffer mode；It realizes anti-to the second biology when user carries out anaerobic exercise
The monitoring of feedback data avoids the injury to body, further increases so that user be allowed to be trained by correct training data
Training effect.
Based on above embodiments, the sixth embodiment of electric body building training method of the present invention is proposed, referring to Fig. 7, this implementation
In example, the electric body building training method further include:
Step S90 obtains the personal information of user, and the body fat rate of user is calculated based on the personal information；
Step S100 is that user formulates drill program based on the personal information and the body fat rate, wherein the training
Plan includes training program, training action, training time and diet planning.
In the present embodiment, the body-building user of different constitutions needs to formulate different drill programs, for example, partially fat constitution
Body-building user is it is desirable that fat reducing training, and the body-building user of inclined lean body mass is it is desirable that increase flesh training, then training program, training are dynamic
Work, training time and diet planning etc. are different from, and by terminal typing personal information, calculate body fat rate according to personal information,
System generates corresponding drill program, the indentured high, body of the personal information by big data analysis, according to personal information and constitution rate
The calculating of weight, shoulder breadth, bust, hip circumference, waistline, women body fat rate is different from the calculation method of male's body fat rate, for example, women body
The calculation method of rouge rate can be, (k1×a-K2× b)/b, wherein K2、k1For predetermined coefficient, a is waistline, and b is weight.When
So, the present embodiment is not especially limited the calculating of body fat rate.
The electric body building training method that the present embodiment proposes by obtaining the personal information of user, and is based on the individual
Information calculates the body fat rate of user, is then based on the personal information and the body fat rate is that user formulates drill program, wherein
The drill program includes training program, training action, training time and diet planning；Realize the personal information according to user
Corresponding drill program is formulated, drill program bring inaccuracy is formulated so as to avoid artificial, improves fitness training effect
Rate.
Based on sixth embodiment, the 7th embodiment of electric body building training method of the present invention is proposed, referring to Fig. 8, this implementation
In example, the electric body building training method further include:
Step S110, user training complete when, based on first biofeedback data, first training data,
Second biofeedback data and second training data generate training report；
Step S120 obtains the consumption energy value of user's this time training, is to calculate user this time according to the personal information
The intake energy value required supplementation with after training, and recommend the corresponding source food of the intake energy value.
In the present embodiment, body-building user can choose carry out anaerobic exercise or anaerobic exercise after aerobic training after carry out
Aerobic training, or only select a kind of training mode in aerobic training and anaerobic exercise, when user completes training, will according to
Family biofeedback data in the training process and training data generate training report, which includes this training consumption
Energy, changes in heart rate, blood pressure and changes of weight etc., this report include curve graph, text, table etc., are consumed according to user
Energy and the personal information of user the intake energy that requires supplementation with of user is calculated by preset formula, also, system will pass through
Food energy data analysis to prestoring recommends the corresponding source food of intake energy, for example, egg, Fresh Grade Breast, potato etc..
The electric body building training method that the present embodiment proposes, by being based on first biology when user's training is completed
Feedback data, first training data, second biofeedback data and second training data generate training report,
Then the consumption energy value for and according to training report obtaining user's this time training is to calculate user this time according to the personal information
The intake energy value required supplementation with after training, and recommend the corresponding source food of the intake energy value；It realizes and is used in body-building
It is automatic to recommend the energy supplement food after body-building for user when training is completed at family, there is systematicness, to improve the effect of body-building
Rate.
In addition, the embodiment of the present invention also provides a kind of readable storage medium storing program for executing.
Electric body building training program is stored on readable storage medium storing program for executing of the present invention, wherein the electric body building training program quilt
When processor executes, realize such as the step of above-mentioned electric body building training method.
Wherein, electric body building training program, which is performed realized method, can refer to electric body building training method of the present invention
Each embodiment, details are not described herein again.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of electric body building training method, which is characterized in that the electric body building training method the following steps are included:
Selection instruction is received, determines the corresponding training mode of the selection instruction；
If the training mode is anaerobic exercise mode, first biofeedback of the user in the anaerobic exercise mode is acquired
Data and the first training data；
First biofeedback data and the first training data are put into preset model and are trained, to obtain training knot
Fruit, and determine whether current training is normal according to the training result；
If currently training abnormal, the myoelectricity data of each muscle group of user are obtained, and generate muscle group based on the myoelectricity data
Training comparison diagram and correction information, so that user corrects training action.
2. electric body building training method as described in claim 1, which is characterized in that described to generate flesh based on the myoelectricity data
Group's training comparison diagram and correction information, so that user includes: the step of correcting training action
The myoelectricity data are compared with normal data, to obtain comparison result, and result obtains institute based on the comparison
State the variance data of myoelectricity data and normal data；
The training muscle group of user is determined based on the variance data, and the current training action of user is analyzed, really
Whether the fixed current training action is correct；
If the current training action is incorrect, generates muscle group training comparison diagram and correct information, so that user corrects training
Movement.
3. electric body building training method as claimed in claim 2, which is characterized in that described determined based on the variance data is used
The training muscle group at family, and the current training action of user is analyzed, determine whether the current training action is correct
The step of after, the electric body building training method further include:
If the current training action is correct, current muscular strength grade is calculated based on the myoelectricity data；
Determine the muscular strength grade whether less than the first predetermined level；
If the muscular strength grade is less than predetermined level, switch the sense organ file currently exported, to improve the training passion of user.
4. electric body building training method as claimed in claim 3, which is characterized in that if the current training action is just
Really, then after the step of based on the myoelectricity data calculating current muscular strength grade, the electric body building training method further include:
Determine whether the muscular strength grade is greater than the second predetermined level；
If the muscular strength grade is greater than second predetermined level, the current training data of user's adjustment currently is prompted.
5. electric body building training method as described in claim 1, which is characterized in that the reception selection instruction, determine described in
After the step of selection instruction corresponding training mode, the electric body building training method further include:
If the training mode is aerobic training mode, second biofeedback number of the user in the aerobic training mode is acquired
According to；
The second training data of user is calculated based on second biofeedback data, and is generated according to second training data
Prompting message exports the prompting message.
6. electric body building training method as claimed in claim 5, which is characterized in that described based on the biofeedback data
The second training data of user is calculated, and prompting message is generated according to second training data, exports the step of the prompting message
After rapid, the electric body building training method further include:
Second biofeedback data described in real-time monitoring, determines whether second biofeedback data is greater than preset data；
If second biofeedback data is greater than preset data, the trained equipment deconditioning is controlled, into buffering mould
Formula.
7. electric body building training method as claimed in any one of claims 1 to 6, which is characterized in that the electric body building training side
Method further include:
The personal information of user is obtained, and calculates the body fat rate of user based on the personal information；
It is that user formulates drill program based on the personal information and the body fat rate, wherein the drill program includes training
Project, training action, training time and diet planning.
8. electric body building training method as claimed in claim 6, which is characterized in that the electric body building training method is also wrapped
It includes:
It is anti-based on first biofeedback data, first training data, second biology when user's training is completed
It presents data and second training data generates training report；
And the consumption energy value of user's this time training is obtained according to training report, it is to calculate user this time according to the personal information
The intake energy value required supplementation with after training, and recommend the corresponding source food of the intake energy value.
9. a kind of electric body building training system, which is characterized in that electric body building training equipment include processor, memory,
And it is stored in the electric body building training program that can be executed on the memory and by the processor, wherein the electric body building
When training program is executed by the processor, realize such as electric body building training method described in any item of the claim 1 to 8
Step.
10. a kind of readable storage medium storing program for executing, which is characterized in that electric body building training program is stored on the readable storage medium storing program for executing,
When wherein the electric body building training program is executed by processor, realize as electronics described in any item of the claim 1 to 8 is strong
The step of body training method.
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| CN112973092A (en) * | 2021-02-02 | 2021-06-18 | 随机漫步(上海)体育科技有限公司 | Training assisting method and device, storage medium, electronic equipment and bicycle |
| CN112973092B (en) * | 2021-02-02 | 2022-03-25 | 随机漫步(上海)体育科技有限公司 | Training assisting method and device, storage medium, electronic equipment and bicycle |
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| CN113786600A (en) * | 2021-10-14 | 2021-12-14 | 成都拟合未来科技有限公司 | Motion feedback method, system, device and medium for intelligent fitness equipment |
| CN114334082A (en) * | 2021-12-30 | 2022-04-12 | 北京欧应信息技术有限公司 | Electronic device |
| CN114917566A (en) * | 2022-04-02 | 2022-08-19 | 傅琳华 | Body-building auxiliary guidance method and device |
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| CN115228053A (en) * | 2022-07-04 | 2022-10-25 | 暨南大学附属第一医院（广州华侨医院） | Ankle postoperative lateral muscle group training device |
| CN115228053B (en) * | 2022-07-04 | 2023-04-25 | 暨南大学附属第一医院（广州华侨医院） | Ankle postoperative lateral muscle group training device |
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