CN113673955A - Method and system for making fitness training plan - Google Patents
Method and system for making fitness training plan Download PDFInfo
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- G06Q10/1093—Calendar-based scheduling for persons or groups
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Abstract
The invention discloses a method and a system for making a fitness training plan, which relate to the field of fitness and are used for acquiring a fitness time table according to basic information and a training target of a user; acquiring a group of sequenced action fragment combinations from a plurality of action fragments based on the user information, the training target, the attributes of the fitness schedule and the attributes of the action fragments; acquiring the recommendation times and recommendation weights corresponding to each action segment in the action segment combination according to the preset action times of the action segments and the training targets of the users, wherein the recommendation times and recommendation weights corresponding to one action segment form a training action group; and acquiring the rest duration of each training action group according to the recommendation times, action segment attributes, user basic information and training targets corresponding to the action segments in the training action groups. The invention provides a customized, scientific and professional fitness training plan for the user so as to achieve the training target of the user.
Description
Technical Field
The invention relates to the field of fitness, in particular to a method and a system for making a fitness training plan.
Background
Along with people's standard of living improvement, along with the pressure of life is bigger and bigger, the health of many people is in sub-health state, but hardly takes time to carry out outdoor exercises again, and the exercise course of oneself contrast on the net at home of most selection carries out the motion body-building. The appearance of family's intelligent fitness equipment for family's body-building is more standardized, but the body-building training plan that current intelligent fitness equipment made for the user is mostly for letting the user move, improves user's interest in sports through richening interesting course. For users with high fitness experience, the expected training effect cannot be achieved.
Some users perform fitness by inquiring related data or referring to fitness methods of other people, and because the body qualities of each person are different, the fitness plan of the users is executed by simply simulating the fitness methods of other people, so that the fitness effect is difficult to achieve, the fitness of the users is not targeted, the efficiency is low, and the fitness enthusiasm and the fitness experience of the users are influenced.
A more specialized method of creating fitness training programs is therefore highly desirable.
Disclosure of Invention
The invention aims to provide a method and a system for making a fitness training plan, which combine basic information of a user with professional fitness data to provide a professional and scientific fitness training plan for the user and improve the fitness experience of the user;
in order to achieve the above object, the present invention provides a method for making a fitness training plan, which obtains basic information and a training target of a user, and constructs a fitness training plan for the user based on the obtained basic information and the training target, wherein the constructing comprises:
acquiring a fitness time table according to the basic information and the training target of the user; the fitness time table comprises a training day parameter and a rest day parameter, is mainly formulated according to basic information and training targets of users and by combining professional fitness data, wherein the basic information of the user mainly comprises user grade, training period and weekly planned training days, the training target comprises the expected training part and the training result of the user, the fitness time table is recommended for the user according to the information and by combining professional fitness data, in the body-building time table, the parameters of a training day comprise the number of action segments and the muscle stimulation capacity corresponding to the training day, the number of the action segments and the muscle stimulation capacity are set according to professional data, the number of the action segments is the optimal number of the action segments of a user in the training day, and the muscle stimulation capacity is the sum of the stimulation sizes of different muscle positions after all the action segments in the training day are finished; the number of the motions recommended to be trained and the muscle stimulation capacity are recommended every training day, so that the user can achieve the training target expected by the user in the training period.
After the distribution of each training day and each rest day, the action number and the muscle stimulation capacity corresponding to each training day are obtained in the fitness time table, a muscle stimulation field is preset in combination with the action segment attributes, wherein the muscle stimulation field comprises the muscle stimulation degree and the muscle stimulation part, action segment combinations meeting the requirements of the action number and the muscle stimulation capacity corresponding to each training day are obtained from a plurality of action segments, and at the moment, a plurality of groups of action segment combinations meeting the requirements are screened out, namely a plurality of groups of first action combinations can be obtained;
in order to further enable the training plan to be more professional and scientific, the scheme performs secondary screening in a plurality of first action combinations, because the primary screening is more heavy than a training target which is expected by a user subjectively, but in the plurality of first action combinations, the difficulty of some actions is higher, and the user grades in the user basic information are not matched, if the user is in fitness, the difficulty of the training actions is higher, the user confidence can be struck, and the user fitness interest is reduced, therefore, based on the difficulty of the actions, the inventor performs secondary screening on the basis of the primary screening, specifically, the user basic information comprises the grades of the users, namely the users can be fitness users or fitness users, and meanwhile, the action difficulty grade is preset in each action section attribute, so that the action section combinations matched with the users are screened out in the plurality of first action combinations according to the grades of the users and the action difficulty grades of the action sections, several groups of second action combinations are obtained.
After the second screening, a plurality of second action combinations which are obtained not only meet basic information and training targets of the user, but also meet professional training requirements, action segments in the second action combinations relate to movement of different action fields, each action field relates to dimensional change, namely the dimensional change of the fitness equipment needs to be adjusted, in the actual fitness training process, if the user needs to continuously adjust the fitness equipment between two adjacent actions, even the adjustment amplitude is large, so that the fitness smoothness and the comfort of the user can be reduced in the using process, on the basis, the scheme carries out third screening on the plurality of second action combinations to obtain a group of action segment combinations which are formed by adjusting the fitness equipment between a group of adjacent action segments at least, namely the minimum dimensional change of the action fields, and the action segments are sequenced to serve as a third action combination, the fitness equipment which needs to be adjusted is minimized when the fitness equipment completes all the actions in the third action combination, and the use comfort of the user is further improved. On the basis, for the intelligent fitness equipment, two sides of the fitness equipment are respectively provided with a support arm, and the support arms may need to be adjusted during fitness training or the joints on the support arms are replaced to connect different fitness equipment, so that for the intelligent fitness equipment, the action fields of the action segments comprise a support arm up-and-down adjustment field, a support arm swinging adjustment field, a terminal part replacement field and an increase-and-decrease fitness stool field; the support arm up-down adjustment field, the support arm swing adjustment field, the end part replacement field and the fitness stool increasing and decreasing field correspond to four dimensions respectively, and if the support arm or fitness equipment does not need to be adjusted between two adjacent action segments, the dimension is not changed; if one of the four dimensions changes, the change of the one-dimensional dimension is generated; if two of the four dimensions change, then two-dimensional change occurs; if three of the four dimensions change, three-dimensional change occurs, and if four of the four dimensions change, four-dimensional change occurs. And sorting the action segments in the third action combination by the dimension change, wherein after sorting, the dimension of the change of two adjacent action segments in the third action combination is the least, and the sorted third action combination is obtained.
And after acquiring the action segments corresponding to each training day and sequencing, setting the recommendation times of each action segment according to the preset action times of each action segment and the training target of the user. Specifically, action target effects are preset in the action segments, the action target effects comprise fat reduction and muscle increase, and the training targets of the user comprise muscle increase or fat reduction. When the training target of the user is muscle increase, in the action times of each action segment in each training day, the action target effect of 65% of the action times is muscle increase, and the action target effect of 35% of the action times is fat reduction; when the training target of the user is fat reduction, the action target effect of 65% of the action times is fat reduction and the action target effect of 35% of the action times is muscle increase in the action times of each action segment in each training day.
And meanwhile, acquiring the 1RM weight of the user based on the action according to the action segments, and acquiring the preset weight of the action according to the training target to obtain the recommended weight of each action segment. Wherein, RM (repetition maximum) is a body building term, in the field of body building, RM is a word with unit property, used to describe how one degree of weight should be selected during training. Specifically, a 1RM weight of the user based on the action is obtained according to the action segment, and a preset weight of the action is obtained according to a training target, wherein:
a is the recommended weight for the action, X1 is the 1RM weight of the user based on the action, and X2 is the weight corresponding to the action based on the training goals.
After the recommended times and the recommended weight of the action segments corresponding to each training day are obtained, each action segment forms a training action group, in order to achieve a better training effect, the rest duration between two adjacent training action groups is required to be set, and the rest duration between each training action group is obtained according to the recommended times, the action difficulty level, the user level in the user basic rest and the training target corresponding to the action segments in the training action groups.
According to the fitness training plan formulated by the scheme, the attributes of the action segments are set according to professional fitness data by the action segments, and a scientific and professional fitness training plan is obtained based on the attributes of the action segments and combined with the self condition of the user and the expected training target.
Preferably, the attribute of the action fragment further includes an action id, and the obtained action fragment combination is an action id combination corresponding to the action fragment. When the action fragments are screened, the action id is screened, so that the action fragments do not need to be dropped out during screening, the screening speed and efficiency can be further improved, and the long-term use is more convenient.
Preferably, according to the user level in the user information, the user level can be obtained, when the user is in a small exercise, some actions with higher difficulty are not suitable for use, in order to further improve the use efficiency, the screening speed of the first action combination, the second action combination and the third action combination is improved, the attribute of the action segment comprises an unlocking score, when the user reaches the unlocking score of the action segment, the action segment is added into the action pool, the action segment screening in the first action combination, the second action combination and the third action combination is performed in the action segment in the action pool, the screening range is further reduced, and the matching degree of the screened action segment and the user is further improved.
Secondly, the attributes of the action segments also comprise action types, because some action segments are based on one action type, when a user exercises a certain action segment, the familiarity of the user with the action segment is increased, the familiarity of all the action segments of the action type associated with the action segment is correspondingly increased, in order to enable the user to have more choices in the exercise, more different action segments can be contacted, in the scheme, when the user trains an action segment, the scores of all the action segments of the action type associated with the action segment are increased, when the action segment reaches the unlocking score, the action segment is added into an action pool, and further, more action segments can be selected in the action pool.
Corresponding to the method in the invention, the invention also provides a system for making the fitness training plan, which comprises the following steps:
the acquisition module is used for acquiring basic information and a training target of a user;
the body-building time table module is used for acquiring a body-building time table according to the basic information and the training target of the user, the body-building time table comprises training day parameters, and the training day parameters comprise the number of action segments corresponding to a training day and muscle stimulation capacity;
the screening and sorting module is used for acquiring a set of sorted action fragment combinations corresponding to a training day according to the fitness time table, the basic information of the user, the training target and the attributes of the action fragments; the attributes of the action segments comprise action difficulty level, action field, muscle stimulation field and action times;
the frequency module is used for acquiring the recommendation frequency corresponding to each action fragment in the action fragment combination according to the action fragment attribute and the user training target;
the weight module is used for acquiring the recommended weight corresponding to each action segment in the action segment combination according to the action segment attributes and the user training target;
and the rest time module is used for acquiring the rest time of each action fragment in the action fragment combination according to the recommendation times, the action fragment attributes, the user basic information and the training target corresponding to the action fragments in the training action group.
The system also comprises a personalized module which is used for adjusting the training plan according to the user preference. After the user uses the training plan formulated by the scheme, the personalized module records the adjustment of the user on the training plan of the scheme within a certain time, and according to the adjustment, the personalized module adjusts the training plan by combining the preference of the user, so that the training plan meets the preference of the user on the basis of the specialty.
One or more technical schemes provided by the invention at least have the following technical effects or advantages:
the action segment sets the attribute of the action segment according to professional fitness data, and a more scientific and professional fitness training plan can be obtained based on the attribute of the action segment, the self condition of the user and the training target, so that a customized fitness training plan is provided for the user to achieve the training target of the user;
according to the scheme, the action segments are screened for many times from the user information, the training target, the attributes of the fitness schedule and the attributes of the action segments, then further screening and sequencing are carried out according to the dimension change of the fitness equipment between two adjacent action segments in each group of action combination, and finally one group of action segment combination which is matched with the user basic information, matched with the training target and needs to adjust the fitness equipment to the minimum is obtained, so that the use comfort and the flow performance of a user are improved, and the long-term use is facilitated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic flow chart of a method of preparing a fitness training program;
FIG. 2 is a schematic diagram of the components of a system for preparing a fitness training program;
fig. 3 is a front view of an intelligent exercise machine according to embodiment 1 of the present invention;
fig. 4 is a schematic view of a partial structure in a track according to embodiment 1 of the present invention.
Reference numbers and corresponding part names in the drawings:
8-rail, 9-end, 10-adjusting seat, 27-machine body and 28-supporting arm.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments of the present invention and features of the embodiments may be combined with each other without conflicting with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
It will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship indicated in the drawings for ease of description and simplicity of description, and do not indicate or imply that the referenced devices or components must be constructed and operated in a particular orientation and thus are not to be considered limiting.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for preparing a fitness training plan, the method according to the present invention includes:
acquiring basic information and a training target of a user, and constructing a fitness training plan for the user based on the acquired basic information and the training target, wherein the construction comprises the following steps:
acquiring a fitness time table according to the basic information and the training target of the user;
the attributes of the action segments comprise unlocking scores, action ids and action types, when a user trains one action segment, the scores of all the action segments of the action types associated with the action segment are increased, when the action segment reaches the unlocking scores, the action segment is added into an action pool, and when the action segment of the user reaches the unlocking scores, the action segment is added into the action pool;
acquiring action fragment combinations in an action pool according to the training day parameters to obtain a plurality of groups of first action combinations, wherein the first action combinations are action id combinations corresponding to the action fragments;
in the plurality of groups of first action combinations, acquiring a plurality of groups of second action combinations according to the action difficulty level of the action fragment and the basic information of the user;
in each group of second action combinations, the action ids of the action segments are sorted according to the dimension change of the action fields;
acquiring a group of second action combinations with the minimum dimension change from the sorted second action combinations as third action combinations;
acquiring the recommendation times and the recommendation weight corresponding to each action segment in a third action combination according to the preset action times of the action segments and the user training target, wherein the recommendation times and the recommendation weights corresponding to one action segment form a training action group;
acquiring a 1RM weight of the user based on the action according to the action fragment, and acquiring a preset weight of the action according to a training target, wherein:
a is the recommended weight for the action, X1 is the 1RM weight of the user based on the action, X2 is the weight corresponding to the action based on the training goal;
and acquiring the rest duration of each training action group according to the recommendation times, action segment attributes, user basic information and training targets corresponding to the action segments in the training action groups.
The following describes a method for creating a fitness training program according to the present invention with reference to specific examples:
step 1, obtaining a fitness time table according to basic information and a training target of a user;
1.1 obtaining the training period and the training days of each week of the user according to the basic information of the user;
1.2 the day of rest rule has been preset based on body-building data, and the day of rest rule is current rule, and the day of rest rule is the differentiation rule of body-building, and the differentiation of body-building includes leg push-and-pull (three differentiation), whole-body differentiation, upper and lower limb differentiation, five differentiation of tradition, leg push-and-pull + upper and lower limb differentiation, in this embodiment, adopts the rule of upper and lower limb differentiation:
1.3 setting a fitness time table according to the training target, the training period, the training days of each week and the rest day rule of the user, wherein the attributes of the fitness time table comprise training day parameters, and the training day parameters comprise the number of action segments corresponding to a training day and the muscle stimulation capacity;
step 2, adding the action fragment into an action pool;
2.1 the initial score of the action proficiency of the user is 0, and the action segments are classified according to the preset action types;
2.2 action difficulty grades are preset in the action segment, the action difficulty grades comprise 1 grade, 2 grade, 3 grade and 4 grade, the action difficulty grades are actions of 1 grade, 2 grade and 3 grade in the embodiment, the unlocking score is 0 score, and the unlocking score of 4 grade is 30 score; when the user performs any action of the same action type, the proficiency of the user for all actions of the action type is increased, and in the embodiment, the proficiency rule is as follows:
when the user does 1 group of 1-level actions, the proficiency is increased by 1 point for all the actions of the action types associated with the actions;
when the user does 1 group of 2-level actions, the proficiency is increased by 1.5 points for all actions of the action types associated with the actions;
when the user has made 1 group of 3 level actions, the proficiency increases by 3 points for all actions of the action type associated with the action. When the action proficiency degree value of a user on a certain action segment reaches a preset unlocking score, adding the action segment into an action pool;
step 3, acquiring action fragment combinations according to the training day parameters and the training targets to obtain a plurality of groups of first action combinations;
3.1 muscle stimulation fields are preset in each action segment, each muscle stimulation field comprises muscle stimulation degrees and muscle stimulation positions, and the training day parameters comprise muscle stimulation capacity (group number) and action number, wherein the muscle stimulation degrees refer to doing a group of actions and correspond to the group number of the muscles, for example: when the stimulation degree of a certain action on the pectoral muscle is 100 percent and the deltoid muscle is 50 percent, the action 1 group is performed, the pectoral muscle target reaches 1 group, and the deltoid muscle target reaches 0.5 group; screening a plurality of groups of action fragment combinations according to the data in the step 3.1 to obtain a plurality of groups of first action combinations;
step 4, in a plurality of groups of first action combinations, acquiring a plurality of groups of second action combinations according to the action difficulty level of the action fragment and the basic information of the user;
4.1 based on the difficulty matching rule, the user basic information and the action difficulty level of the action fragment in the first action combination, further screening in a plurality of groups of first action combinations;
the difficulty matching rule in this embodiment:
when the user level of the user is fitness whit:
in the action combination, the ratio of the action difficulty levels of the action segments conforms to the following rule:
number of stages 1: number of 2 stages: number of stages 3 or more is 30%: 60%: 10 percent;
when the user level of the user is fitness bull:
in the action combination, the ratio of the action difficulty levels of the action segments conforms to the following rule:
number of stages 1: number of 2 stages: number of stages 3 or more is 10%: 60%: 30 percent;
screening a plurality of second action combinations from a plurality of groups of first action combinations according to the difficulty matching rule;
step 5, in a plurality of groups of second action combinations, sequencing each group of action fragments according to the action fields of two adjacent action fragments of each group, and obtaining a group of third action combinations according to the action fields of the two adjacent action fragments after sequencing;
5.1 in each group of second action combination, sequencing the action fragments according to the dimension change of the action fields; in this embodiment, the action section is preset with an action field, and the action field includes a support arm up-and-down adjustment field, a support arm swing adjustment field, a terminal part replacement field, and an increase-decrease fitness stool field; the support arm up-and-down adjusting field, the support arm swinging adjusting field, the end part replacing field and the fitness stool increasing and decreasing field correspond to four dimensions respectively, and the action fragments in the second action combination are sequenced according to the sequence of the support arm up-and-down adjusting field, the support arm swinging adjusting field, the end part replacing field and the fitness stool increasing and decreasing field to obtain a sequenced second action combination;
5.2 in the sorted second action combinations, obtaining a group of second action combinations with the minimum dimensionality change as a third action combination, in the embodiment, the sorted second action combinations are graded through a score change rule, the combination with the highest score is the third action combination with the minimum dimensionality change, and when a plurality of groups with the highest score exist, one group is randomly chosen as the third action combination;
the id sequence of the action has a total score, the default is 1 score, and the score change rule is as follows:
| dimension change | Score change |
| Every two adjacent action ids, no dimension change occurs | +2 |
| Every two adjacent action ids generate one-dimensional change | +1 |
| Every two adjacent action ids generate two-dimensional change | +0 |
| Every two adjacent action ids generate three-dimensional change | -1 |
| Every two adjacent action ids are subjected to four-dimensional change | -2 |
In this embodiment, as shown in fig. 3 and 4, the exercise machine corresponding to the method is an intelligent exercise machine, which includes a machine body 27, a rail 8 rotatably connected to the machine body 27, an adjusting seat 10 slidably fitted in the rail 8, a head 9 rotatably connected to the adjusting seat 10, and a support arm 28 fixedly connected to the head 9; also comprises the following steps of (1) preparing,
a first adjusting component for adjusting the rotation angle of the track 8 on the machine body 27 around the axis of the track;
a second adjustment assembly for adjusting the axial position of the adjustment base 10 within the track 8 (i.e. the position of the arm in translation along the track);
a third adjusting component for adjusting the rotation angle of the end 9 on the adjusting base 10 (i.e. the rotation angle of the support arm around the intersection point of the support arm and the track);
a fourth adjustment assembly for adjusting the connector to connect the arm 28 to different accessories;
and the fifth adjusting component is used for adjusting the position relation between the support arm and the fitness stool.
In this embodiment, the up-down adjustment field of the support arm only needs to adjust the second adjustment assembly; the arm swing adjustment field requires adjustment of the first adjustment assembly and/or the third adjustment assembly; replacing the end fitting field requires adjusting the fourth adjustment component, the first adjustment component, and/or the third adjustment component; the second adjusting component, the fourth adjusting component, the first adjusting component and/or the third adjusting component are/is required to be adjusted when the fitness stool field is increased or decreased.
Step six, acquiring the recommendation times and the recommendation weight corresponding to each action segment in the third action combination according to the preset action times of the action segments and the user training target;
6.1 determining the recommendation times of each action fragment;
each action segment is preset with action times and action target effects, the action target effects comprise fat reduction and muscle increase, and the training targets of the user comprise muscle increase or fat reduction.
When the training target of the user is muscle increase, in the action times of each action segment in each training day, the action target effect of 65% of the action times is muscle increase, and the action target effect of 35% of the action times is fat reduction; when the training target of the user is fat reduction, the action target effect of 65% of the action times is fat reduction and the action target effect of 35% of the action times is muscle increase in the action times of each action segment in each training day.
6.2 determining the recommended weight of each action fragment;
acquiring 1RM weight of the user based on the action according to the action segments, and acquiring preset weight of the action according to a training target to obtain recommended weight of each action segment;
wherein:
a is the recommended weight of the action, X1 is the 1RM weight of the user based on the action, X2 is the weight corresponding to the action based on the training target, the recommended times and the weight of each action segment form a training action group, and the third action group is formed by a plurality of training action groups.
And step seven, acquiring the rest duration of each training action group according to the recommendation times, the action segment attributes, the user basic information and the training targets corresponding to the action segments in the training action groups.
In this embodiment, according to professional fitness data, the inventor presets a rest interval rule according to the action difficulty level of the action segment, the recommended action times, the user level of the user, and the training goal, where the rest interval rule may be multiple, and in this embodiment, one is provided according to the fitness experience, and the interval rule is as follows:
example two
Referring to fig. 2, fig. 2 is a schematic composition diagram of a system for preparing a fitness training plan, based on embodiment 1, a second embodiment of the present invention provides a system for preparing a fitness training plan, the system comprising:
the acquisition module is used for acquiring basic information and a training target of a user;
the body-building time table module is used for acquiring a body-building time table according to the basic information and the training target of the user, the body-building time table comprises training day parameters, and the training day parameters comprise the number of action segments corresponding to a training day and muscle stimulation capacity;
the screening and sorting module is used for acquiring a set of sorted action fragment combinations corresponding to a training day according to the fitness time table, the basic information of the user, the training target and the attributes of the action fragments; the attributes of the action segment comprise an action difficulty grade, an action field and a muscle stimulation field;
the frequency module is used for acquiring the recommendation frequency corresponding to each action fragment in the action fragment combination according to the action fragment attribute and the user training target;
the weight module is used for acquiring the recommended weight corresponding to each action segment in the action segment combination according to the action segment attributes and the user training target;
and the rest time module is used for acquiring the rest time of each action fragment in the action fragment combination according to the recommendation times, the action fragment attributes, the user basic information and the training target corresponding to the action fragments in the training action group.
And the personalized module is used for adjusting the training plan according to the user preference.
In this embodiment, the specific implementation manner of the obtaining module is as follows: on intelligent body-building apparatus, let user input basic information and training target, basic information includes: user ratings including fitness calves and fitness buzzlies, desired training periods, desired number of weekly trainings, etc., wherein the user ratings include fitness calves and fitness buzzlies, the training goals include fat reduction and muscle enhancement, and the desired number of weekly trainings includes 2 days per week, 3 days per week, 4 days per week, and 5 days per week;
in this embodiment, the specific implementation of the fitness schedule module is as follows: acquiring user information through an acquisition module, formulating a fitness time table according to the user information, and formulating the time of each training day, the number of corresponding action segments of each training day and the muscle stimulation capacity according to the expected training period, the expected weekly training times and the training target of the user;
in this embodiment, the specific implementation manner of the screening and sorting module is as follows: according to the number of the corresponding action segments and the muscle stimulation capacity of each training day in the fitness time table module and the preset muscle stimulation fields of the action segments unlocked by the user in the action pool, the action segment combinations meeting the requirements of the number of the corresponding action segments and the muscle stimulation capacity of each training day are screened out to be used as first action combinations, wherein the muscle stimulation fields comprise muscle stimulation degrees and muscle stimulation positions;
on the basis of the first action combinations, acquiring a plurality of combinations matched with the user grades according to the user grades and action difficulty grades preset by the action segments to obtain a plurality of second action combinations;
on the basis of a plurality of second action combinations, sorting according to the dimension difference of the fitness equipment needing to be adjusted of two adjacent action segments in each group, sorting from minimum adjustment to maximum adjustment, and after sorting, acquiring a group of combinations with the minimum adjustment amplitude as a third action combination, namely obtaining the corresponding action segments in each training day, namely the sorting;
in this embodiment, the specific implementation manner of the time module is as follows: after obtaining action segments corresponding to each training day, namely sequencing the action segments, determining the training times of each action segment through the module, and obtaining the recommended action times of each action segment according to the preset action times and the training target of each action segment;
in this embodiment, the specific implementation manner of the weight module is as follows: acquiring the 1RM weight of the user based on the action according to the action segments, acquiring the preset weight of the action according to a training target, and acquiring the recommended weight of each action segment, wherein:
a is the recommended weight for the action, X1 is the 1RM weight of the user based on the action, and X2 is the weight corresponding to the action based on the training goals.
In this embodiment, the specific implementation of the rest time module is as follows: after determining the action segment ordering corresponding to each training day, that is, the recommended times and recommended weight of each action segment, the rest time of each group of action segments is determined according to the module.
In this embodiment, the specific implementation manner of the personalization module is as follows: after the training plan is obtained through the modules, the training plan is sent to a user, the user adjusts the training plan according to the actual situation or the preference of the user, when the adjustment exceeds the preset adjustment range, a prompt that the adjustment range is too large is sent to the user, and after the prompt information is confirmed, the user can continue to adjust or change the original adjustment plan.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for making a fitness training plan is characterized by acquiring basic information and a training target of a user, and constructing the fitness training plan for the user based on the acquired basic information and the training target, wherein the constructing comprises the following steps:
acquiring a fitness time table according to the basic information and the training target of the user;
acquiring a group of sequenced action fragment combinations from a plurality of action fragments based on user information, training targets, attributes of a fitness schedule and attributes of the action fragments, wherein the attributes of the action fragments comprise action difficulty grades, action fields and muscle stimulation fields; the attributes of the fitness time table comprise training day parameters, and the training day parameters comprise the number of action segments and the muscle stimulation capacity;
acquiring the recommendation times and recommendation weights corresponding to each action segment in the action segment combination according to the preset action times of the action segments and the training targets of the users, wherein the recommendation times and recommendation weights corresponding to one action segment form a training action group;
and acquiring the rest duration of each training action group according to the recommendation times, action segment attributes, user basic information and training targets corresponding to the action segments in the training action groups.
2. A method for preparing a fitness training program according to claim 1, wherein obtaining a set of ordered combinations of action segments among a plurality of action segments based on user information, training goals, attributes of a fitness schedule, attributes of the action segments comprises:
acquiring action fragment combinations according to the muscle stimulation fields, the training day parameters and the training targets of the action fragments to obtain a plurality of groups of first action combinations;
in the plurality of groups of first action combinations, acquiring a plurality of groups of second action combinations according to the action difficulty level of the action fragment and the basic information of the user;
and in the plurality of groups of second action combinations, sequencing each group of action fragments according to the action fields of two adjacent action fragments of each group, and obtaining a group of third action combinations according to the action fields of the two adjacent action fragments after sequencing.
3. A method for preparing a fitness training program according to claim 2, wherein, in the plurality of second action combinations, each action segment is sorted according to the action fields of two adjacent action segments, and a third action combination is obtained according to the action fields of the two sorted action segments, comprising:
in each group of second action combinations, the action segments are sorted according to the dimension change of the action fields;
and acquiring a group of second action combinations with the minimum dimension change from the sorted second action combinations as a third action combination.
4. A method of preparing a fitness training program according to any of claims 1-3, wherein the action fields comprise an arm up and down adjustment field, an arm swing adjustment field, an end fitting replacement field and an increase and decrease fitness stool field; the support arm up-and-down adjusting field, the support arm swinging adjusting field, the tail end part replacing field and the body-building stool increasing and decreasing field correspond to four dimensions respectively.
5. A method for preparing a fitness training program according to claim 1, wherein the attributes of the action segments further comprise action ids, and the obtained action segment combinations are action id combinations corresponding to the action segments.
6. A method for preparing a fitness training program according to claim 1, wherein the attributes of the action segment include an unlock score, the action segment is added to the action pool when the action segment of the user reaches the unlock score, and a set of ordered combinations of the action segments is obtained from the action pool based on the user information, the training goals, the attributes of the fitness schedule, and the attributes of the action segment.
7. A method for preparing a fitness training program according to claim 6, wherein the attributes of an action segment include the type of action, and when a user trains an action segment, all the action segment scores of the action type associated with the action segment are increased, and when the action segment reaches the unlock score, the action segment is added to the action pool.
8. A method for developing a fitness training program according to claim 1, wherein obtaining a recommended weight for each action segment in the combination of action segments comprises:
acquiring the 1RM weight of the user based on the action according to the action fragment, and acquiring the preset weight of the action according to a training target, wherein:
a is the recommended weight for the action, X1 is the 1RM weight of the user based on the action, and X2 is the weight corresponding to the action based on the training goals.
9. A system for preparing a fitness training program, comprising:
the acquisition module is used for acquiring basic information and a training target of a user;
the body-building time table module is used for acquiring a body-building time table according to the basic information and the training target of the user, the body-building time table comprises training day parameters, and the training day parameters comprise the number of action segments corresponding to a training day and muscle stimulation capacity;
the screening and sorting module is used for acquiring a set of sorted action fragment combinations corresponding to a training day according to the fitness time table, the basic information of the user, the training target and the attributes of the action fragments; the attributes of the action segment comprise an action difficulty grade, an action field and a muscle stimulation field;
the frequency module is used for acquiring the recommendation frequency corresponding to each action fragment in the action fragment combination according to the action fragment attribute and the user training target;
the weight module is used for acquiring the recommended weight corresponding to each action segment in the action segment combination according to the action segment attributes and the user training target;
and the rest time module is used for acquiring the rest time of each action fragment in the action fragment combination according to the recommendation times, the action fragment attributes, the user basic information and the training target corresponding to the action fragments in the training action group.
10. A system for developing a fitness training program according to claim 9, further comprising a personalization module for adjusting the training program according to user preferences.
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| CN202110969138.2A CN113673955A (en) | 2021-08-23 | 2021-08-23 | Method and system for making fitness training plan |
| PCT/CN2022/070076 WO2023024400A1 (en) | 2021-08-23 | 2022-01-04 | Fitness training method, system and apparatus, and medium |
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