CN108550382A - A kind of parameter regulation means and server of sports equipment - Google Patents
A kind of parameter regulation means and server of sports equipment Download PDFInfo
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Abstract
The invention discloses a kind of parameter regulation means of sports equipment and servers.The method includes:Server is according to the similarity of the sign value sign value corresponding with any user set in pre-stored multiple users set in the movable information of the target user got, the maximum first user set of similarity is determined in gathering from the multiple user, and corresponding first kinematic parameter is gathered according to the first user, obtain the corresponding parameters of target motion of target user, and then the parameters of target motion are sent to sports equipment, so that sports equipment carries out parameter adjustment according to the parameters of target motion.The reasonability and science that so, it is possible to effectively improve parameter adjustment, to more meet the exercise intensity that user can bear;And sports equipment directly can carry out parameter adjustment according to the parameters of target motion that server is sent, and be not necessarily to manual operation, and it is convenient and efficient, improve user experience.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a parameter adjustment method for a sports device and a server.
Background
Along with the improvement of health consciousness of people, people pay more and more attention to health and invest in the health, various sports equipment such as a running machine, a stepping machine, a body building vehicle and the like gradually enter the lives of people, and the exercise by utilizing the sports equipment becomes an important choice of the sports mode of people increasingly.
In the prior art, a user needs to manually adjust parameters of the sports equipment in the process of using the sports equipment. Taking the example that the user uses the treadmill to exercise, if the user feels that the running speed is fast, the running speed is manually reduced, and if the user feels that the running speed is slow, the running speed is manually increased. However, the process of manually adjusting the motion parameters is complicated, and the user experience is reduced; and the parameters of the exercise equipment artificially adjusted by the user are often parameters obtained by personal feelings, which may cause the adjusted parameters of the exercise equipment to be inconsistent with the physical quality of the user, for example, after the user increases the running speed, the exercise intensity may be too large to bear the body of the user, or after the user decreases the running speed, the exercise intensity may be too small to effectively embody the exercise effect.
Therefore, a parameter adjusting method for exercise equipment is needed to solve the problems that in the prior art, a user needs to manually adjust parameters of the exercise equipment during exercise using the exercise equipment, the steps are complicated, and the adjusted parameters are inconsistent with exercise intensity that the user can bear.
Disclosure of Invention
The embodiment of the invention provides a parameter adjusting method of sports equipment and a server, and aims to solve the technical problems that in the prior art, a user needs to manually adjust the parameters of the sports equipment in the process of using the sports equipment for sports, the steps are complicated, and the adjusted parameters are easily inconsistent with the sports intensity which can be born by the user.
The embodiment of the invention provides a parameter adjusting method of sports equipment, which comprises the following steps:
the server acquires the motion information of a target user; the motion information of the target user comprises a physical sign value of the target user;
the server determines a first user set with the maximum similarity from a plurality of user sets according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance; the any user set comprises at least one sample user, and the sign value corresponding to the any user set is obtained according to the sign value of the at least one sample user;
the server obtains a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set; the first motion parameter corresponding to the first user set is obtained according to the motion parameter corresponding to each sample user in the first user set;
and the server sends the target motion parameters to the motion equipment so that the motion equipment adjusts the parameters according to the target motion parameters.
Optionally, the motion information of the target user further includes a current motion parameter of the motion device;
after the server obtains the target motion parameter corresponding to the target user according to the first reference motion parameter, before the server sends the target motion parameter to the motion device, the method further includes:
the server determines that the degree of difference between the target motion parameter and the current motion parameter is greater than a second threshold.
Optionally, the plurality of user sets are obtained by:
the server obtains sign values of a plurality of sample users, and performs cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users to obtain a plurality of user sets.
Optionally, the target user's vital sign values include a target user's heart rate;
before the server determines the first reference user from the plurality of reference users, the method further includes:
the server determines that the heart rate of the target user is greater than a third threshold.
Optionally, the vital sign values comprise at least one of age, gender, height, weight, exercise pattern, exercise time, heart rate, body temperature.
An embodiment of the present invention provides a server, where the server includes:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring the motion information of a target user; the motion information of the target user comprises a physical sign value of the target user;
the processing unit is used for determining a first user set with the maximum similarity from a plurality of user sets according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance; the any user set comprises at least one sample user, and the sign value corresponding to the any user set is obtained according to the sign value of the at least one sample user;
the processing unit is further configured to obtain a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set; the first motion parameter corresponding to the first user set is obtained according to the motion parameter corresponding to each sample user in the first user set;
and the sending unit is used for sending the target motion parameters to the motion equipment so as to enable the motion equipment to carry out parameter adjustment according to the target motion parameters.
Optionally, the motion information of the target user further includes a current motion parameter of the motion device;
after the processing unit obtains the target motion parameter corresponding to the target user according to the first reference motion parameter, before the sending unit sends the target motion parameter to the motion device, the processing unit is further configured to:
determining that a degree of difference between the target motion parameter and the current motion parameter is greater than a second threshold.
Optionally, the plurality of user sets are obtained by:
obtaining sign values of a plurality of sample users, and performing cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users to obtain a plurality of user sets.
Optionally, the target user's vital sign values include a target user's heart rate;
before determining the first reference user from the plurality of reference users, the processing unit is further configured to:
determining that the target user's heart rate is greater than a third threshold.
Optionally, the vital sign values comprise at least one of age, gender, height, weight, exercise pattern, exercise time, heart rate, body temperature.
In the embodiment of the invention, a server determines a first user set with the maximum similarity from a plurality of user sets according to the similarity between a sign value in the acquired motion information of a target user and a sign value corresponding to any one of the plurality of pre-stored user sets, obtains a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set, and further sends the target motion parameter to a motion device, so that the motion device performs parameter adjustment according to the target motion parameter. In this way, the server determines the target motion parameter according to the first motion parameter corresponding to the first user set with the maximum similarity with the target user in the plurality of user sets, and the motion device performs parameter adjustment according to the target motion parameter, so that compared with the prior art in which the user performs parameter adjustment by means of personal feeling, the reasonability and scientificity of parameter adjustment can be effectively improved, and the motion intensity which can be borne by the user can be better met; and the motion equipment can directly adjust parameters according to the target motion parameters sent by the server, manual operation is not needed, convenience and rapidness are realized, and user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1a is a schematic view of a scene in which a user adjusts parameters of a sports apparatus during a sports process according to an embodiment of the present invention;
fig. 1b is a schematic view of another scene in which a user adjusts parameters of a sports apparatus during a sports process according to an embodiment of the present invention;
fig. 2 is a schematic flow chart corresponding to a parameter adjustment method for sports equipment according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method in the embodiment of the invention can be suitable for various scenes, and is particularly suitable for scenes in which the user adjusts the parameters of the sports equipment in the sports process. As shown in fig. 1a, a scene diagram is provided for a user to adjust parameters of a sports device during a sports process according to an embodiment of the present invention. The scene includes a server 101, a moving device 102, a first terminal 1031, and a second terminal 1032.
The first terminal 1031 may be a smart phone, a tablet computer, or the like; second terminal 1032 may be a wearable device or the like.
Specifically, the first terminal 1031 may communicate with the server 101, the moving device 102, and the second terminal 1032 via a network. For example, the motion device 102 may send the current motion parameter to the first terminal 1031, the second terminal may send the collected physical sign value to the first terminal 1031, and the first terminal 1031 may send the received current motion parameter, the physical sign value collected by the second terminal, and the physical sign value stored in the first terminal 1031 to the server 101.
Fig. 1b is a schematic diagram illustrating another scenario in which a user adjusts parameters of a sports device during a sports process according to an embodiment of the present invention, as shown in fig. 1b, the scenario includes a server 111, a sports device 112, and one or more terminals, such as a terminal 1131 and a terminal 1132.
The terminal can be various types of terminals, such as a smart phone, a tablet computer, wearable equipment and the like.
Specifically, the server 111 may communicate with the moving device 112, the terminal 1131, and the terminal 1132 through a network. For example, the server 111 receives the current motion parameters of the motion device 112, and the sign values acquired by the terminal 1131 and the terminal 1132.
Based on the scenario shown in fig. 1a or fig. 1b, fig. 2 exemplarily shows a flowchart corresponding to a parameter adjustment method for sports equipment provided by an embodiment of the present invention, which specifically includes the following steps:
step 201, a server acquires motion information of a target user; the motion information of the target user comprises a sign value of the target user.
Step 202, the server determines a first user set with the maximum similarity from the plurality of user sets according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance.
Step 203, the server obtains a target motion parameter corresponding to the target user according to the first motion parameter corresponding to the first user set.
And 204, the server sends the target motion parameters to the motion equipment, so that the motion equipment adjusts the parameters according to the target motion parameters.
In this way, the server determines the target motion parameter according to the first motion parameter corresponding to the first user set with the maximum similarity with the target user in the plurality of user sets, and the motion device performs parameter adjustment according to the target motion parameter, so that compared with the prior art in which the user performs parameter adjustment by means of personal feeling, the reasonability and scientificity of parameter adjustment can be effectively improved, and the motion intensity which can be borne by the user can be better met; and the motion equipment can directly adjust parameters according to the target motion parameters sent by the server, manual operation is not needed, convenience and rapidness are realized, and user experience is improved. Specifically, in step 201, the physical sign value includes at least one of age, sex, height, weight, exercise mode, exercise time, heart rate, and body temperature. Further, in consideration of some of the above-mentioned various sign values that are not easily changed, such as gender, height, etc., and some sign values that are easily changed, such as exercise time, heart rate, etc., in the embodiment of the present invention, the sign values may include static sign values and dynamic sign values. The static sign value refers to a sign value that is not easily changed by the target user in the exercise process, such as the age, sex, height, weight, and the like of the target user; the dynamic sign value refers to a sign value that is easily changed by the target user during the exercise process, such as the exercise mode, exercise time, heart rate, body temperature, and the like of the target user.
In one example, taking the age of the target user as an example, the actual age of the target user can be directly taken as one of the sign values; or, considering that the age distribution range of the user is large, in order to avoid the complexity of data processing, the ages may be classified according to the ages, for example, the ages of less than 20 are classified into one category, the ages of 21 to 40 are classified into one category, the ages of 41 to 60 are classified into one category, and the ages of more than 60 are classified into one category, thereby effectively simplifying the ages. Other content (e.g., height, weight, exercise time, heart rate, body temperature, etc.) may also be similarly simplified and will not be described in detail herein.
In another example, taking the motion pattern of the target user as an example, the motion pattern may be the purpose of the target user to perform motion, for example, the motion pattern may include a shaping, burning fat, rehabilitation motion, and the like; alternatively, the movement pattern may be a severity of movement of the target user, for example, the movement pattern may include a severe, medium, mild, etc. pattern. The person skilled in the art can define the motion pattern according to experience and practical situations, and the description is not limited.
As shown in table 1, is an example of a sign value of a target user. Wherein the target user 1 is 27 years old, female in sex, 165cm in height, 50kg in weight, moulding in exercise mode, 1h in exercise time, 110 heart rates/min and 37.1 ℃ in body temperature; the age of the target user 2 is 35 years old, the sex is male, the height is 180cm, the weight is 80kg, the exercise mode is fat burning, the exercise time is 0.5h, the heart rate is 120 times/min, and the body temperature is 37.4 ℃; the target user 3 was 42 years old, sex male, height 175cm, weight 70kg, exercise mode rehabilitation, exercise time 0.5h, heart rate 90 times/min, body temperature 36.8 ℃.
Table 1: an example of a target user's sign value
It should be noted that the content shown in table 1 is only an example, and those skilled in the art may add or delete table 1 according to experience and actual situation, and the details are not limited.
Further, after obtaining the physical sign value of the target user, the server in the embodiment of the present invention may compare the heart rate included in the physical sign value of the target user with a third threshold, and if it is determined that the heart rate of the target user is greater than the third threshold, it indicates that the heart rate of the target user is greater and may be unfavorable for health, at this time, step 202 may be executed to adjust the parameter of the exercise device, for example, reduce exercise intensity, so that the heart rate of the target user is recovered to a normal range; if it is determined that the heart rate of the target user is less than or equal to the third threshold, it indicates that the heart rate of the target user is normal, and at this time, the motion parameter does not need to be adjusted, and the step 201 may be returned. By adopting the method, the problem of frequently adjusting the parameters of the sports equipment is effectively avoided, and the reasonability of parameter adjustment of the sports equipment is improved.
It should be noted that, the above is only an example of the heart rate of the target user, and in other possible implementation manners, it may also be determined whether to adjust the exercise parameter by simultaneously determining whether one or more of the physical sign values of the target user exceed a preset range, which is not limited specifically.
In step 202, the plurality of user sets may be obtained in a plurality of ways, and one possible implementation manner is that the server obtains sign values of a plurality of sample users, and performs cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users, thereby obtaining a plurality of user sets.
Specifically, there are various ways of cluster calculation, for example, a K-MEANS algorithm may be used to perform cluster calculation, and sample users with higher similarity among multiple sample users are grouped into one class. For example, as shown in table 2, which is an example of a sample user, the sample user 1 is 27 years old, female in gender, 100 heart rates/min, and 12km/h corresponding to exercise parameters (for example, the speed of a treadmill); the age of the sample user 2 is 27 years, the gender is female, the heart rate is 103 times/min, and the corresponding exercise parameter (taking the speed of the treadmill as an example) is 11.5 km/h; the age of the sample user 3 is 27 years, the gender is female, the heart rate is 105 times/min, and the corresponding exercise parameter (taking the speed of the treadmill as an example) is 12.5 km/h; the age of the sample user 4 is 42 years, the gender is male, the heart rate is 110 times/min, and the corresponding exercise parameter (taking the speed of the treadmill as an example) is 8 km/h; the sample user 5 is 35 years of age, male gender, 115 heart rates/min, and corresponding exercise parameters (for example treadmill speed) of 10 km/h. As can be seen from the contents shown in table 2, the sign values of the sample user 1, the sign values of the sample user 2, and the sign values of the sample user 3 are closer to each other, and the sample user 1, the sample user 2, and the sample user 3 can be grouped into one group.
Table 2: as an example of a sample user
Sample user | Age (age) | Sex | Heart rate | Motion parameter |
1 | 27 | Woman | 100 times/min | 12km/h |
2 | 27 | Woman | 103 times/min | 11.5km/h |
3 | 27 | Woman | 105 times/min | 12.5km/h |
4 | 42 | For male | 110 times/min | 8km/h |
5 | 35 | For male | 115 times/min | 10km/h |
In other possible implementation manners, a person skilled in the art may preset the user set according to experience and actual conditions, for example, the people with different ages and different sexes are divided into different user sets in advance, and a sign value corresponding to each user set is set, which is not limited specifically.
It should be noted that: (1) when the clustering calculation is carried out, the clustering can be directly carried out according to the sign values of a plurality of sample users, or the first clustering can be carried out according to the static sign values of a plurality of sample users, and then each category in the first clustering is subjected to the second clustering according to the dynamic sign values of a plurality of sample users on the basis of the first clustering, so that the scientificity and the rationality of the clustering can be improved. (2) In the embodiment of the invention, the sign values corresponding to the user set can be specific values, such as age 27 and height 165 cm; or the weight can be in a numerical range, such as age 26-30 years and weight 161-170 cm, without limitation.
Further, after the user set is determined, the sign value corresponding to the user set can be determined according to the sign value of at least one sample user included in the user set. The method comprises the following steps that the sign values corresponding to a user set are determined in various manners, and if the sign values of at least one sample user in the user set are uniform, the sign values of the sample users can be used as the sign values corresponding to the user set; if the sign values of at least one sample user included in the user set are inconsistent, the sign values corresponding to the user set can be determined in an interval range mode, for example, the age of the sample user is 25-30 years old, and the sign value of the age corresponding to the user set can be 25-30 years old; or the sign value corresponding to the user set may also be determined in an average manner, for example, if there are multiple values in the heart rate of the sample user, the sign value of the heart rate corresponding to the user set may be an average of the heart rates of multiple sample users.
Further, the server may determine, from the plurality of user sets, a first user set with the maximum similarity according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance.
In step 203, the first motion parameter corresponding to the first user set may be obtained according to the motion parameter corresponding to each sample user in the first user set. For example, taking the content shown in table 2 as an example, the sample user 1, the sample user 2, and the sample user 3 may form a user set, and the exercise parameter corresponding to the user set may be calculated according to the exercise parameter corresponding to the sample user 1, the exercise parameter corresponding to the sample user 2, and the exercise parameter corresponding to the sample user 3. For example, the average value of the motion parameters corresponding to each sample user may be used as the sign value corresponding to the user set, that is, the motion parameters corresponding to the user set composed of the sample user 1, the sample user 2, and the sample user 3 are 12km/h, or the motion parameters corresponding to the user set may be calculated in other manners, which is not limited specifically.
Based on the above description, in the embodiment of the present invention, there may be a correspondence relationship between the user set and the exercise parameter as shown in table 3. The motion parameter corresponding to the user set 1 is 12 km/h; the motion parameter corresponding to the user set 2 is 10 km/h; the user set 3 corresponds to a motion parameter of 11 km/h.
Table 3: an example of a correspondence between a set of users and an athletic parameter
Further, there may be various ways to obtain the target motion parameter corresponding to the target user according to the first motion parameter corresponding to the first user set, for example, the first motion parameter may be directly used as the target motion parameter, or the first motion parameter may be adjusted according to experience and actual conditions, and the adjusted parameter is used as the target motion parameter.
In view of the fact that the target motion parameter may be consistent with or close to the current motion parameter of the motion device, in order to avoid adjusting the parameter of the motion device too frequently, in the embodiment of the present invention, the motion information of the target user may further include the current motion parameter of the motion device.
Based on this, before executing step 204, the server may compare the target motion parameter with the current motion parameter, and if it is determined that the difference between the target motion parameter and the current motion parameter is greater than the second threshold, execute step 204; otherwise, return to step 201. Therefore, the problem of frequently adjusting the parameters of the sports equipment can be effectively avoided, and the rationality of parameter adjustment of the sports equipment is improved.
Based on the same inventive concept, fig. 3 exemplarily shows a schematic structural diagram of a server provided by an embodiment of the present invention, and as shown in fig. 3, the server 300 includes an obtaining unit 301, a processing unit 302, and a sending unit 303; wherein,
an obtaining unit 301, configured to obtain motion information of a target user; the motion information of the target user comprises a physical sign value of the target user;
a processing unit 302, configured to determine, according to a similarity between the sign value of the target user and a sign value corresponding to any one of a plurality of pre-stored user sets, a first user set with a maximum similarity from the plurality of user sets; the any user set comprises at least one sample user, and the sign value corresponding to the any user set is obtained according to the sign value of the at least one sample user;
the processing unit 302 is further configured to obtain a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set; the first motion parameter corresponding to the first user set is obtained according to the motion parameter corresponding to each sample user in the first user set;
a sending unit 303, configured to send the target motion parameter to a piece of sports equipment, so that the piece of sports equipment performs parameter adjustment according to the target motion parameter.
Optionally, the motion information of the target user further includes a current motion parameter of the motion device;
after the processing unit 302 obtains the target motion parameter corresponding to the target user according to the first reference motion parameter, before the sending unit 303 sends the target motion parameter to the motion device, the processing unit 302 is further configured to:
determining that a degree of difference between the target motion parameter and the current motion parameter is greater than a second threshold.
Optionally, the plurality of user sets are obtained by:
obtaining sign values of a plurality of sample users, and performing cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users to obtain a plurality of user sets.
Optionally, the target user's vital sign values include a target user's heart rate;
before determining the first reference user from the plurality of reference users, the processing unit 302 is further configured to:
determining that the target user's heart rate is greater than a third threshold.
Optionally, the vital sign values comprise at least one of age, gender, height, weight, exercise pattern, exercise time, heart rate, body temperature.
In the embodiment of the invention, a server determines a first user set with the maximum similarity from a plurality of user sets according to the similarity between a sign value in the acquired motion information of a target user and a sign value corresponding to any one of the plurality of pre-stored user sets, obtains a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set, and further sends the target motion parameter to a motion device, so that the motion device performs parameter adjustment according to the target motion parameter. In this way, the server determines the target motion parameter according to the first motion parameter corresponding to the first user set with the maximum similarity with the target user in the plurality of user sets, and the motion device performs parameter adjustment according to the target motion parameter, so that compared with the prior art in which the user performs parameter adjustment by means of personal feeling, the reasonability and scientificity of parameter adjustment can be effectively improved, and the motion intensity which can be borne by the user can be better met; and the motion equipment can directly adjust parameters according to the target motion parameters sent by the server, manual operation is not needed, convenience and rapidness are realized, and user experience is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
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 adjusting parameters of an exercise device, the method comprising:
the server acquires the motion information of a target user; the motion information of the target user comprises a physical sign value of the target user;
the server determines a first user set with the maximum similarity from a plurality of user sets according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance; the any user set comprises at least one sample user, and the sign value corresponding to the any user set is obtained according to the sign value of the at least one sample user;
the server obtains a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set; the first motion parameter corresponding to the first user set is obtained according to the motion parameter corresponding to each sample user in the first user set;
and the server sends the target motion parameters to the motion equipment so that the motion equipment adjusts the parameters according to the target motion parameters.
2. The method of claim 1, wherein the motion information of the target user further comprises current motion parameters of the motion device;
after the server obtains the target motion parameter corresponding to the target user according to the first reference motion parameter, before the server sends the target motion parameter to the motion device, the method further includes:
the server determines that the degree of difference between the target motion parameter and the current motion parameter is greater than a second threshold.
3. The method of claim 1, wherein the plurality of user sets are obtained by:
the server obtains sign values of a plurality of sample users, and performs cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users to obtain a plurality of user sets.
4. The method of claim 1, wherein the target user sign values comprise a target user heart rate;
before the server determines the first reference user from the plurality of reference users, the method further includes:
the server determines that the heart rate of the target user is greater than a third threshold.
5. The method of any one of claims 1 to 4, wherein the vital sign values comprise at least one of age, gender, height, weight, exercise pattern, exercise time, heart rate, body temperature.
6. A server, characterized in that the server comprises:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring the motion information of a target user; the motion information of the target user comprises a physical sign value of the target user;
the processing unit is used for determining a first user set with the maximum similarity from a plurality of user sets according to the similarity between the sign value of the target user and the sign value corresponding to any one of the plurality of user sets stored in advance; the any user set comprises at least one sample user, and the sign value corresponding to the any user set is obtained according to the sign value of the at least one sample user;
the processing unit is further configured to obtain a target motion parameter corresponding to the target user according to a first motion parameter corresponding to the first user set; the first motion parameter corresponding to the first user set is obtained according to the motion parameter corresponding to each sample user in the first user set;
and the sending unit is used for sending the target motion parameters to the motion equipment so as to enable the motion equipment to carry out parameter adjustment according to the target motion parameters.
7. The server according to claim 6, wherein the motion information of the target user further comprises current motion parameters of the motion device;
after the processing unit obtains the target motion parameter corresponding to the target user according to the first reference motion parameter, before the sending unit sends the target motion parameter to the motion device, the processing unit is further configured to:
determining that a degree of difference between the target motion parameter and the current motion parameter is greater than a second threshold.
8. The server according to claim 6, wherein the plurality of user sets are obtained by:
obtaining sign values of a plurality of sample users, and performing cluster calculation on the plurality of sample users according to the sign values of the plurality of sample users to obtain a plurality of user sets.
9. The server according to claim 6, wherein the target user sign value comprises a target user heart rate;
before determining the first reference user from the plurality of reference users, the processing unit is further configured to:
determining that the target user's heart rate is greater than a third threshold.
10. The server according to any one of claims 6 to 9, wherein the vital sign values include at least one of age, gender, height, weight, exercise pattern, exercise time, heart rate, and body temperature.
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