CN108404382A - A kind of algorithm and system of adaptive training plan generation - Google Patents
A kind of algorithm and system of adaptive training plan generation Download PDFInfo
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- CN108404382A CN108404382A CN201810156198.0A CN201810156198A CN108404382A CN 108404382 A CN108404382 A CN 108404382A CN 201810156198 A CN201810156198 A CN 201810156198A CN 108404382 A CN108404382 A CN 108404382A
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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
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- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
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- A63B69/00—Training appliances or apparatus for special sports
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Abstract
The present invention provides the algorithms that a kind of adaptive training plan generates, and for solving the problems, such as that individual subscriber condition value adjusting training plan will not be directed in the prior art and will not adapt to adjusting training plan according to user's training data, this algorithm includes step S1：Receive the target running ability value of user setting, target trains the beginning and ending time；S2：The running ability value that acquisition user runs for the first time；S3：Training curve model is established according to run user's ability value of running for the first time of ability value, target training beginning and ending time and acquisition of the target of the user setting of reception；S4：Receive setting individual subscriber condition value and user movement during running ability value and preserve, the training curve of foundation is adjusted according to default adjustment algorithm according to the running ability value during the individual subscriber condition value and user movement of reception, generates the corresponding drill program curve of user.It may be implemented to be required to adjust drill program according to user using this method, improve user and train experience.
Description
Technical field
The present invention relates to intelligence customize running planning field more particularly to a kind of adaptive training plan generate algorithm and
System.
Background technology
With the improvement of living standards, requirement of the people to fitness is also higher and higher, movement in the prior art is answered
Use in program software training system is stored in training content as master data in background data base mostly.User's selection one
Fixed drill program is corresponded to after kind training with training content, it is specified that specific training Day, training time and training strength.No
The parameters such as age, gender, height, the weight of user can be directed to and be adjusted drill program, it will not the flexible arrangement training time.
Such as the Chinese patent of Publication No. CN201510514155.1, disclose it is a kind of formulate exercise program method and
Device, the method and device for formulating exercise program, can be according to pre-set data threshold or every pre-set
Time reappraises the essential information of the user, according to the essential information of the user reappraised be the user again
Formulate new exercise program, may thereby determine that user formulate fitness program safety, science and targetedly, to reach most
Good rehabilitation efficacy.
Such as the Chinese patent of Publication No. CN105999686A, disclose a kind of method and dress of display running rhythm
It sets, this method includes：The rhythm of user's running is obtained, and the rhythm of the running is converted to the rhythm of intelligent terminal vibration；
Whether consistent with the rhythm that the intelligent terminal vibrates detect the rhythm that the user currently runs；If the user currently runs
Rhythm it is consistent with the rhythm that the intelligent terminal vibrates, then enhance the rhythm of intelligent terminal vibration, compare voice guide
It is more convenient, earphone is worn without using person, it is more valuable for the wearing product such as bracelet class of no design loudspeaker, allow running to instruct
Practice cadence information more domination in the works, it is easier to it is perceived, play more effective guidance.
The drill program of patent disclosed above be all be pre-set, be general drill program, will not according to
Age, gender, height and the weight at family etc. participate in adjusting training plan, will not the flexible arrangement training time.
Invention content
The algorithm and system generated the invention discloses a kind of adaptive training plan, to solve in the prior art will not
It is adjusted drill program for the gender of user, age, height and body weight parameters, and will not the flexible arrangement training time
The problem of, when sport training plan generation method and system disclosed by the invention can be realized according to individual subscriber condition and training
Between require adjust.
The algorithm that adaptive training plan provided by the invention generates, including step：
S1：Receive the target running ability value of user setting, target trains the beginning and ending time；
S2：The running ability value that acquisition user runs for the first time；
S3：According to the target of the user setting of reception running ability value, target training beginning and ending time and the user of acquisition
Running ability value establishes training curve model for the first time；
S4：Receive setting individual subscriber condition value and user movement during running ability value and preserve, according to
Running ability value during the individual subscriber condition value and user movement of reception is to the training curve of foundation according to default tune
Whole algorithm is adjusted, and generates the corresponding drill program curve of user.
Further,
It is described running ability value include run milimeter number and running it is described running milimeter number with speed；The individual subscriber
Condition value includes user's weight, height, age and gender.
Further, the training curve model is：
Further, the training curve model is：
Running ability value (s/v)=a* day of training2+ b* day of training+c,
The s is the running milimeter number during user movement, and the v is public for the running of running during user movement
Mileage with speed, a values are to be calculated according to default a value-based algorithms, and b, c value obtains pair respectively according to a values of calculating
B, c value answered.
Further,
The individual subscriber condition value for receiving setting is substituted into K value-based algorithm models, calculates the K values of user's running ability value,
The K values are for being adjusted the training curve model of foundation, the K values ∈ (0,1).Further, step S4 includes：
S41：Receive the running ability value during the individual subscriber condition value and user movement of setting；
S42：Choosing user movement, the running ability value not on the drill program curve model of foundation is made for the first time in the process
For the new running ability value run for the first time, user setting target run ability value and calculating K values according to training curve
Model is fitted to the corresponding drill program curve of user again.
A kind of system that adaptive training plan generates, including：
Receiving module, target running ability value, target training beginning and ending time and user for receiving user setting set
The individual condition value set；
Acquisition module, for acquiring the running ability value during user movement；
Computing module, for according to the target running ability value of the user setting of reception, the target training beginning and ending time and
The user of acquisition ability value of running for the first time establishes training curve model；
Module is adjusted, for according to the running ability value pair during the individual subscriber condition value and user movement of reception
The training curve of foundation is adjusted according to default adjustment algorithm, generates the corresponding drill program curve of user.
Further, receiving module includes：
Storage element, for store receive user setting target running ability value, target train the beginning and ending time and
The individual condition value of user setting.
Further, adjustment module includes：
K value adjustment units for being adjusted to K values according to the individual condition value for receiving user setting, and then pass through K values
The drill program curve of foundation is adjusted；
Matched curve generation unit, for choosing user movement in the process for the first time not in the drill program curve model of foundation
On running ability value, user setting target running ability value and calculating model slope K value according to training curve model
Again it is fitted to the corresponding drill program curve of user.
Further, K values adjustment unit includes：
BMI impact factor computing units, based on according to the height and weight of user according to default BMI impact factors algorithm
Calculate the impact factor of user's height and weight to K values；
Age effects factor calculating unit, for being calculated according to default age effects factor algorithm according to the age of user
Impact factor of the age of user to K values；
Effect of gender factor calculating unit, for being calculated according to default Effect of gender factor algorithm according to the gender of user
Impact factor of user's gender to K values.
Further, further include：
Reporting unit is generated, when completing training according to corresponding drill program curve for user, generates corresponding training
Report；
Storage element is recorded, for by the trained every time running milimeter number of user and corresponding with speed recording and preserving
To predeterminated position.
The invention has the advantages that can include the height of user, weight, gender, year according to the individual condition of user
Age and training time carry out automatic adjusument, and user can be allowed to coordinate corresponding training strength in different phase, realize
It is more suitable for more healthy drill program, the exercise program generation method provided in the present invention can realize the use according to storage
Each exercise data at family is modified, and improves out the drill program for being more suitable for user.
Description of the drawings
Fig. 1 is the algorithm flow chart one that adaptive training plan of the present invention generates；
Fig. 2 is the algorithm flow chart two that adaptive training plan of the present invention generates；
Fig. 3 is the system construction drawing one that adaptive training plan of the present invention generates；
Fig. 4 is the system construction drawing two that adaptive training plan of the present invention generates.
Fig. 5 is the age distribution figure of top 100 marathon runners of -2013 year of nineteen ninety.
Specific implementation mode
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
Embodiment one
A kind of algorithm that adaptive training plan generates is present embodiments provided, as shown in Figure 1, this algorithm includes step：
S1：Receive the target running ability value of user setting, target trains the beginning and ending time；
S2：The running ability value that acquisition user runs for the first time；
S3：According to the target of the user setting of reception running ability value, target training beginning and ending time and the user of acquisition
Running ability value establishes training curve model for the first time；
S4：Receive setting individual subscriber condition value and user movement during running ability value and preserve, according to
Running ability value during the individual subscriber condition value and user movement of reception is to the training curve of foundation according to default tune
Whole algorithm is adjusted, and generates the corresponding drill program curve of user.
By being investigated to more money sports application software training system functions, in the prior art using training content as base
Notebook data is stored in background data base.User corresponds to fixed drill program and training content after selecting one of which training,
The training Day and training strength of prescribed specific.It will not be directed to individual subscriber condition value, i.e., personal body parameter is adjusted training
Plan, will not the flexible arrangement training time.The method that a kind of sport training plan proposed in the present embodiment generates, passes through root
Curve movement model is established according to training algorithm, user is according to the curve movement model of foundation, and using horizontal axis as the training time, the longitudinal axis is
Training content.User arbitrarily selects training Day and training time in curve.The curve model established simultaneously can be defeated according to user
The parameters such as a human body entered adjust the rate of curving of curve, and according to ability initial value input by user and training final goal
Value determines the starting point and target point of training curve, realizes that adaptive training plan generates.
Specifically：
After user logs into default training system, such as " my training " page in default training system.
System receive judge after the beginnings training instruction signal sent in " my training " in the database stored whether
There is default drill program.
If system judges there is default drill program in the database stored, by corresponding plan example in default drill program
As " plan today " is shown in default terminal；If system is judged in the database of storage, Non-precondition drill program, then basis
Preset algorithm newly establishes the first drill program of user, and includes being used in default terminal by the first drill program of newly-established user
Family can be trained according to the drill program shown in default terminal.
In user's training process, system by the continuous exercise data for receiving the user feedback in motion process, and according to
The data of feedback judge whether user completes drill program；It is generated if user completes drill program described in training report and storage
Exercise data continues that user is reminded to move according to drill program if user does not complete drill program.
The method that the sport training plan that the present embodiment uses generates can realize that the drill program in database can root
Automatic adjusument is carried out according to the individual condition of user and training time, user can be allowed corresponding in different phase cooperation
Training strength, realization are more suitable for more healthy drill program.
Embodiment two
A kind of algorithm that adaptive training plan generates is present embodiments provided, as shown in Fig. 2, the present embodiment training
The method that plan generates compares the algorithm that embodiment one provides
S1：Receive the target running ability value of user setting, target trains the beginning and ending time；
S2：The running ability value that acquisition user runs for the first time；
S3：According to the target of the user setting of reception running ability value, target training beginning and ending time and the user of acquisition
Running ability value establishes training curve model for the first time；
S4：Receive setting individual subscriber condition value and user movement during running ability value and preserve, according to
Running ability value during the individual subscriber condition value and user movement of reception is to the training curve of foundation according to default tune
Whole algorithm is adjusted, and generates the corresponding drill program curve of user.
The algorithm that adaptive training plan provided in this embodiment generates：
Further,
It is described running ability value include run milimeter number and running it is described running milimeter number with speed；The individual subscriber
Condition value includes user's weight, height, age and gender.
Further, the training curve model is：
Running ability value (s/v)=a* day of training2+ b* day of training+c,
The s is the running milimeter number during user movement, and the v is public for the running of running during user movement
Mileage matches speed, and a values are to be calculated according to default a value-based algorithms, and b, c value is according to a values of calculating according to default b values
Algorithm and default c value-based algorithms calculate separately out corresponding b, c value.
Further,
The individual subscriber condition value for receiving setting is substituted into K value-based algorithm models, calculates the K values of user's running ability value,
The K values are for being adjusted the training curve model of foundation, the K values ∈ (0,1).
Further, step S4 includes：
S41：Receive the running ability value during the individual subscriber condition value and user movement of setting；
S42：Choosing user movement, the running ability value not on the drill program curve model of foundation is made for the first time in the process
For the new running ability value run for the first time, user setting target run ability value and calculating K values according to training curve
Model is fitted to the corresponding drill program curve of user again.
Specific implementation step is：
User enter after training system be arranged first target running ability value and user preset reach this target running energy
The force value required training time.Target running ability value includes that user wishes the running milimeter number s2 reached by training and matches
Fast v2.Input starts day of training t1 and final day of training t2.System is run for the first time according to user instructs to estimate that user runs
It exercises beginning ability value, the milimeter number s1 of the first time running of system acquisition user and matches speed v1, then according to training curve model：
Running ability value (s/v)=a* day of training2+ b* day of training+c.
Generate training pattern curve.Specifically the algorithm of generation training curve model is：
IfyFor ability value of running, y=f (s, v), x are day of training：
Model y=ax2+bx+c
(t1, s1/v1) (t2, s2/v2) is substituted into y=ax2+ bx+c is obtained
Wherein presetting b value-based algorithms is：
2. 1.
Wherein presetting c value-based algorithms is：
1. 2. * t1 are obtained * t2-
B, c value are indicated respectively by a values, and then according to a value-based algorithms are preset, the training curve model for substituting into foundation obtains newly
Training curve model be：
Due to parabola opening upwards, therefore a>0；
Symmetry axis
That is the value range of a is：
A desired value a1 is taken in the value range of a, and the slope K value * a1 of the running ability value (s/v) are obtained
The value of K*a1 be assigned to a1, become the end value of a.
The K values are for being adjusted the training curve model of foundation, and wherein the influence factor of K values mainly has reception to use
The individual subscriber condition value of family setting, specific impact factor computational methods are as follows：
(1) for curve y=ax2For+bx+c, the bending degree of curve signifies the promotion of the running ability value of user
Speed.It is user that algorithm in the present embodiment generates the parameter that suitable drill program mainly considers according to the self-condition of user
Height (h), the age (Age), weight (w), gender (sex).For current conditions, the self-condition of user is better, and (BMI is suitable
In or it is relatively low；Age was peak value with 25 years old, and both sides are successively decreased；It is generally acknowledged that male runs, condition is better than women), ability value of running
Promotion speed it is faster.
(2) influences of the BMI to K values：
| BMI | WHO standard | Asia standard | Chinese Industrial Standards (CIS) |
| Low birth weight | <18.5 | <18.5 | <18.5 |
| Normal range (NR) | 18.5-24.9 | 18.5-22.9 | 18.5-23.9 |
| It is overweight | >=25 | >=23 | >=24 |
| Fat early period | 25.0-29.9 | 23-24.9 | 24-26.9 |
| Level-one is fat | 30.0-34.9 | 25-29.9 | 27-29.9 |
| Two level is fat | 35-39.9 | >=30 | >=30 |
According to Chinese Industrial Standards (CIS), definition：
BMI<18.5, f (w, h)=0.8；
18.5<=BMI<=23.9, f (w, h)=1；
BMI>=24, f (w, h)=0.8；
24<BMI<=26.9, f (w, h)=0.6；
27<BMI<=29.9, f (w, h)=0.4；
BMI>=30, f (w, h)=0.2；
(3) influence of the gender to K values：
According to general formula, the maximal oxygen uptake of male is generally better than women, therefore is defined as follows：
Gender is man, f (sex)=1；
Gender is female, f (sex)=0.5；
(4) age (Age) is worth influencing on K：
This algorithm adaptation age is 15-55 Sui.
Fig. 5 is the age distribution figure of top 100 marathon runners of -2013 year of nineteen ninety.It is learnt according to investigation, year
Age influences rule that is little, but still being presented certain to the ability value of running.25-30 is the gold age of runner.According to movement section
An experiment for 300757 runners for learning doctor's mulberry Delahunt is shown, after 35 years old, even if carrying out same water
Flat training, every ten years sports levels of runners can decline 10.5% to 14.8%.Therefore, influence of the age to K values is as follows；
25<=Age<=35, f (Age)=1；
35<=Age<=45, f (Age)=0.85；
45<=Age<=55, f (Age)=0.7；
15<=Age<=25, f (Age)=0.85；
K value-based algorithm models are established by the statistical analysis of the height of user, weight, age and gender, i.e.,：
K=f (w, h) * f (Age) * f (sex) ∈ (0,1)
K values after being calculated according to individual condition value are substituted into above-mentioned K*a1, you can final a values are obtained, so as to
Obtain the corresponding drill program curve of user.System can correspondence can find out user needs arbitrary some day in training mesh
Scale value
The algorithm that the adaptive training plan that is provided in the present embodiment generates, can according to the target power value of setting and
The running ability value of training and the personal characteristics value of user for example increase user for the first time, weight and Sex, Age, foundation are instructed
Practice curve model, according to the curve model of foundation, realizes that user wants the drill program for reaching training objective.
Embodiment three
A kind of system that adaptive training plan generates is present embodiments provided, as shown in figure 3, this system includes：
Receiving module, target running ability value, target training beginning and ending time and user for receiving user setting set
The individual condition value set；
Acquisition module, for acquiring the running ability value during user movement；
Computing module, for according to the target running ability value of the user setting of reception, the target training beginning and ending time and
The user of acquisition ability value of running for the first time establishes training curve model；
Module is adjusted, for according to the running ability value pair during the individual subscriber condition value and user movement of reception
The training curve of foundation is adjusted according to default adjustment algorithm, generates the corresponding drill program curve of user.
The present embodiment use adaptive training plan generate system can realize by receiving module, acquisition module,
The individual condition and training time automatic adjusument of computing module and adjustment module according to user, can allow user to exist
Different phase coordinates corresponding training strength, improves experience of the user in training.
Example IV
A kind of system that adaptive training plan generates is provided in the present embodiment, as shown in figure 4, compared in embodiment three
Receiving module, acquisition module, computing module and the adjustment module of offer.
In the present embodiment,
Further, receiving module includes：
Storage element, for store receive user setting target running ability value, target train the beginning and ending time and
The individual condition value of user setting.
Wherein target running ability value includes that user wishes the running milimeter number s2 reached by training and matches speed v2,
Middle individual condition value is height, weight, gender and the age of the user of user setting during the motion.
Further, adjustment module includes：
K value adjustment units for being adjusted to K values according to the individual condition value for receiving user setting, and then pass through K values
The drill program curve of foundation is adjusted；
Matched curve generation unit, for choosing user movement in the process for the first time not in the drill program curve model of foundation
On running ability value, user setting target running ability value and calculating model slope K value according to training curve model
Again it is fitted to the corresponding drill program curve of user.
Further, K values adjustment unit includes：
BMI impact factor computing units, based on according to the height and weight of user according to default BMI impact factors algorithm
Calculate the impact factor of user's height and weight to K values；
Age effects factor calculating unit, for being calculated according to default age effects factor algorithm according to the age of user
Impact factor of the age of user to K values；
Effect of gender factor calculating unit, for being calculated according to default Effect of gender factor algorithm according to the gender of user
Impact factor of user's gender to K values.
Further, further include：
Reporting unit is generated, when completing training according to corresponding drill program curve for user, generates corresponding training
Report；
Storage element is recorded, for by the trained every time running milimeter number of user and corresponding with speed recording and preserving
To predeterminated position.
Specifically system operatio flow is：
After user logs into default training system, such as " my training " page in default training system.
System receive judge after the beginnings training instruction signal sent in " my training " in the database stored whether
There is default training curve model.
It, will be corresponding in default training curve model if system judges there is default training curve model in the database stored
Training curve model plan such as " plan today " be shown in default terminal；If system is judged in the database of storage, do not have
There is default training curve model, then according to establishing user's the first training curve model, and newly-established user first is trained into song
Line model plan is shown in default terminal, and in user's training process, system will the continuous user feedback received in motion process
Exercise data, the exercise data includes the running ability value of user, and system is according to the running energy in the motion process of user
Force value and the individual condition value of user are adjusted training curve model, and judge whether user is complete according to the data of feedback
At drill program；Training report is generated if user completes drill program and stores the exercise data, if user does not complete
Drill program then continues that user is reminded to move according to drill program.
The system that a kind of adaptive training plan provided in this embodiment generates, can run ability according to the user of reception
Profile's value of value and user setting establishes training curve data model, and system can be according to the target capability of user setting
Value and the raising weight and Sex, Age of user, it is corresponding to calculate arbitrary intraday training objective value, and can according to
The data that family is trained every time are adjusted drill program curve, reach best user's drill program experience.
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. the algorithm that a kind of adaptive training plan generates, which is characterized in that including step：
S1：Receive the target running ability value of user setting, target trains the beginning and ending time；
S2：The running ability value that acquisition user runs for the first time；
S3：For the first time according to the target of the user setting of reception running ability value, target training beginning and ending time and the user of acquisition
Running ability value establishes training curve model；
S4：Receive setting individual subscriber condition value and user movement during running ability value and preserve, according to reception
Individual subscriber condition value and user movement during running ability value the training curve of foundation is calculated according to default adjustment
Method is adjusted, and generates the corresponding drill program curve of user.
2. the algorithm that a kind of adaptive training plan according to claim 1 generates, which is characterized in that
It is described running ability value include run milimeter number and running it is described running milimeter number with speed；The individual subscriber condition
Value includes user's weight, height, age and gender.
3. the algorithm that a kind of adaptive training plan according to claim 2 generates, which is characterized in that the training curve
Model is：
Running ability value (s/v)=a* day of training2+ b* day of training+c,
The s is the running milimeter number during user movement, and the v is the running milimeter number of running during user movement
With speed, a values are to be calculated according to default a value-based algorithms model, and b, c value obtains pair respectively according to a values of calculating
B, c value answered.
4. the algorithm that a kind of adaptive training plan according to claim 3 generates, which is characterized in that
The individual subscriber condition value for receiving setting is substituted into K value-based algorithm models, calculates the K values of user's running ability value, the K
Training curve model of the value for foundation is adjusted, the K values ∈ (0,1).
5. the algorithm that a kind of adaptive training plan according to claim 4 generates, which is characterized in that step S4 includes：
S41：Receive the running ability value during the individual subscriber condition value and user movement of setting；
S42：Choosing user movement, the running ability value not on the drill program curve model of foundation is used as newly for the first time in the process
Run for the first time running ability value, user setting target running ability value and calculating K values according to training curve model
Again it is fitted to the corresponding drill program curve of user.
6. the system that a kind of adaptive training plan generates, which is characterized in that including：
Receiving module, the target for receiving user setting are run ability value, target training beginning and ending time and user setting
Individual condition value；
Acquisition module, for acquiring the running ability value during user movement；
Computing module is used for target running ability value, target training beginning and ending time and acquisition according to the user setting of reception
User's ability value of running for the first time establish training curve model；
Module is adjusted, is used for according to the running ability value during the individual subscriber condition value and user movement of reception to establishing
Training curve be adjusted according to default adjustment algorithm, generate the corresponding drill program curve of user.
7. the system that a kind of adaptive training plan according to claim 6 generates, which is characterized in that receiving module packet
It includes：
Storage element, target running ability value, target training beginning and ending time and user for storing the user setting received
The individual condition value of setting.
8. the system that a kind of adaptive training plan according to claim 6 generates, which is characterized in that adjustment module packet
It includes：
K value adjustment units, for being adjusted to K values according to the individual condition value for receiving user setting, and then by K values to building
Vertical drill program curve is adjusted；
Matched curve generation unit, for choosing during user movement for the first time not on the drill program curve model of foundation
Run ability value, user setting target running ability value and calculating model slope K value according to training curve model again
It is fitted to the corresponding drill program curve of user.
9. the system that a kind of adaptive training plan according to claim 7 generates, which is characterized in that K value adjustment units
Including：
BMI impact factor computing units, for being calculated according to default BMI impact factors algorithm according to the height and weight of user
The impact factor of user's height and weight to K values；
Age effects factor calculating unit, for calculating user according to default age effects factor algorithm according to the age of user
Impact factor of the age to K values；
Effect of gender factor calculating unit, for calculating user according to default Effect of gender factor algorithm according to the gender of user
Impact factor of the gender to K values.
10. the system that a kind of adaptive training plan according to claim 6 generates, which is characterized in that further include：
Reporting unit is generated, when completing training according to corresponding drill program curve for user, generates corresponding training report；
Storage element is recorded, for by the trained every time running milimeter number of user and corresponding with speed recording and preserving to pre-
If position.
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