WO2017166720A1 - Data processing method and device, and treadmill - Google Patents

Abstract

A data processing method, mainly comprising: separately recording activity data according to different accounts, the activity data being generated during activities of the accounts, and the accounts corresponding to the activity data in a one-to-one manner; analyzing the activity data corresponding to the different accounts within a preset time period; generating activity schemes corresponding to the different accounts; and pushing the activity schemes corresponding to the accounts before the accounts have activities again. Also provided are a data processing device, a treadmill, a non-transitory computer readable storage medium, a computer program product, and an electronic device.

Description

Data processing method, device and treadmill

The present application claims the priority of the Chinese Patent Application, filed on March 31, 2016, with the application number No. 2016102011315, the disclosure of which is incorporated herein by reference. In this application.

Technical field

Embodiments of the present disclosure relate to the field of intelligent hardware technologies, and in particular, to a data processing method, device, and treadmill.

Background technique

The treadmill is a standing fitness equipment for the family and gym. Due to its simplicity and practicality, it is the best choice for home fitness equipment. In addition, with the accelerated pace of life, more and more people choose to exercise at home, so the demand for treadmills is also growing, and the requirements for treadmill performance and function are constantly improving. At present, the main functions of the related art treadmills include: providing a variety of speed walking experiences, allowing the user to select a suitable speed for movement; providing a display screen so that the user can download the previously downloaded video source through the universal serial bus. The (Universal Serial Bus, USB for short) interface is uploaded to the treadmill and the video is viewed through the display.

From the above analysis, it can be seen that the main functions of the related art treadmills are relatively simple and cannot meet the more intelligent needs of users.

Summary of the invention

Embodiments of the present disclosure provide a data processing method, apparatus, and treadmill to solve the problem that the treadmill of the related art cannot meet more intelligent requirements of the user.

An embodiment of the present disclosure provides a data processing method, which is applied to an electronic device, where the method includes:

Recording the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has a one-to-one correspondence with the activity data;

Analyzing activity data corresponding to different accounts within a preset time period; and,

Generate an activity plan corresponding to different accounts;

The activity plan corresponding to the account is pushed before the account is again active.

An embodiment of the present disclosure provides an apparatus for data processing, including:

a recording unit, configured to record the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has a one-to-one correspondence with the activity data;

An analysis unit configured to analyze activity data corresponding to different accounts within a preset time period;

Generating a unit, configured to generate an activity plan corresponding to a different account;

The first pushing unit is configured to push an activity plan corresponding to the account before the account performs the activity again.

Embodiments of the present disclosure also provide a treadmill that includes the device described in the apparatus for data processing provided by the above disclosed embodiments.

An embodiment of the present disclosure also provides an electronic device including at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions When executed by the at least one processor, causing the at least one processor to perform an operation of separately recording activity data according to an account, the activity data being data generated when the account is active, the account and The activity data is in one-to-one correspondence; analyzing activity data corresponding to different accounts within a preset time period; and generating an activity plan corresponding to different accounts; and pushing an activity plan corresponding to the account before the account is re-executed .

Embodiments of the present disclosure also provide a non-transitory storage medium storing computer executable instructions arranged to perform the data processing method described above.

Embodiments of the present disclosure also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer The computer is caused to execute the data processing method described above.

The data processing method, device and treadmill provided by the embodiments of the present disclosure can first record the activity data separately according to the account, the activity data is the data generated when the account performs the activity, and the account corresponds to the activity data one by one; secondly, The activity data corresponding to different accounts in the preset time period is analyzed, and the activity plan corresponding to the different accounts is generated; finally, the activity plan of the corresponding account is pushed before the account is re-executed. Compared with the related art, the embodiment of the present disclosure can record the activity data of different accounts separately, and analyze according to the activity data in the preset preset time period, generate different account personalized activity plans, and then perform the account again. Before the event, the corresponding activity plan is pushed for the account, so that the treadmill containing the push of the above activity scheme is more intelligent, so that the user's intelligent demand for the treadmill can be satisfied.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

FIG. 1 is a flowchart of a method for data processing according to an embodiment of the present disclosure;

FIG. 2 is a flowchart of another method for data processing according to an embodiment of the present disclosure;

FIG. 3 is a flowchart of still another method for data processing according to an embodiment of the present disclosure;

FIG. 4 is a structural block diagram of an apparatus for data processing according to an embodiment of the present disclosure;

FIG. 5 is a structural block diagram of another apparatus for data processing according to an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a physical structure of an apparatus for data processing according to an embodiment of the present disclosure.

Implementation

The technical solutions in the embodiments of the present disclosure will be clearly and completely described in conjunction with the drawings in the embodiments of the present disclosure. It is a partial embodiment of the present disclosure, and not all of the embodiments.

An embodiment of the present disclosure provides a method for data processing. As shown in FIG. 1 , the method includes step 101, step 102, step 103, and step 104.

In step 101, the activity data is separately recorded in accordance with the account.

Different users need to register the account before the first activity, and then the activity data generated during the account activity can be recorded separately according to the account. All the activity data is recorded in real time, and the account and activity are recorded. The data corresponds one by one. The activity data of different accounts are recorded separately for the purpose of separately analyzing the activity data of each account.

In step 102, the activity data corresponding to different accounts in the preset time period is analyzed.

The activity data in the preset time period is separately extracted from the activity data of the different accounts obtained in step 101 for analysis. The activity data corresponding to different accounts in the preset time period is analyzed to better analyze the activity data in a certain period of time, because the habit or law of the account activity in different time periods may change. The preset time period can be specifically designed according to the specific situation in the actual application, which may be the time period from the first activity to the current time, or may be any one week, one month, etc. from the first activity to the current time. Time period.

The specific way of analyzing the activity data may be to analyze the regularity of the activity data through statistical methods or other existing data analysis models, or to analyze the difference and change of the activity data generated by the account each time. For example, analyzing the number of times the same activity is performed within a preset time period, the interval time of the same activity, or the accumulated value of some data corresponding to a specific different activity.

In step 103, an activity plan corresponding to a different account is generated.

According to the analysis result obtained by analyzing the different account activity data in step 102, the activity plan corresponding to different accounts is finally generated. Since the activity plan is based on the historical activity data analysis of the account itself, it is more reasonable to be more in line with the activity habits of different accounts. The activity plan is generated so that the account can get a better reference to the activity plan before each activity, further help the account to implement a more reasonable activity plan, or push the account content that suits their preferences.

In step 104, before the account is again active, the activity plan of the corresponding account is pushed.

Before the account is re-executed, the activity plan obtained in step 103 is pushed to the corresponding account through the display screen.

The data processing method provided by the embodiment of the present disclosure can first record the activity data separately according to the account, the activity data is the data generated when the account performs the activity, and the account and the activity data are in one-to-one correspondence; secondly, the analysis is within a preset time period. The activity data corresponding to different accounts, and the activity plan corresponding to different accounts are generated; finally, the activity plan of the corresponding account is pushed before the account is re-executed. Compared with the related art, the embodiment of the present disclosure can record the activity data of different accounts separately, and analyze according to the activity data in the preset preset time period, generate different account personalized activity plans, and then perform the account again. Before the event, the corresponding activity plan is pushed for the account, so that the treadmill containing the push of the above activity scheme is more intelligent, so that the user's intelligent demand for the treadmill can be satisfied.

Alternatively, as a refinement and extension of the embodiment shown in FIG. 1, the present disclosure also provides another embodiment. As shown in FIG. 2, the method for data processing in this embodiment includes step 201, step 202, step 203, and step 204.

In step 201, the viewing program data is separately recorded in accordance with the account.

It should be noted that, in this embodiment, all the steps are described by taking a specific treadmill as an example, and will not be described later. The implementation of this step is the same as the implementation of step 101 in FIG. 1, except that the activity data in step 101 is replaced with the viewing program data, and therefore will not be described again. In addition, it should be noted that the program to be watched may be a program pre-stored in the treadmill, or may be a running with network communication function. Online online programs watched on board.

In step 202, the viewing program data corresponding to different accounts in the preset time period is analyzed.

The viewing program data within the preset time period is extracted from the viewing program data of the different accounts obtained in step 201 for analysis. This embodiment provides two paths for analyzing the viewing program data. One is to analyze directly through the analysis system provided in the local treadmill; the other is to upload the viewing program data to the preset cloud through the network, so that the preset cloud is analyzed, and finally the analysis result is returned to the treadmill terminal. . It should be noted that the preset cloud in this embodiment is a background server that can perform program data analysis.

In addition, the method of specifically analyzing the viewing program data in this step is the same as the method in step 102 of FIG. 1, except that the activity data in step 102 is replaced with the viewing program data, and thus will not be described again.

In step 203, a program push scheme corresponding to a different account is generated.

According to the analysis of the viewing program data in step 202, a program pushing scheme corresponding to different accounts is generated. The specific implementation of the program delivery scheme is the same as the implementation in step 103 of FIG. 1, except that the activity data is replaced with the viewing program data, and the activity scheme is replaced with the program pushing scheme. For a clearer explanation, a specific example is given for explanation: assuming that an account a is viewed during the last month, the program data is obtained, and during the total of 20 running exercises last month, the account a all watched the sports program. The situation is 10 times, so it can be analyzed that the account a is a sports enthusiast, so the pre-stored sports programs in the treadmill will be sorted to generate a program push scheme for most or all of the sports programs, or for connecting The network's treadmills will organize sporting events in the most recent period to generate a program that will be used for most or all of the recent sporting events.

In step 204, before the account is again viewed, the program push scheme of the corresponding account is pushed.

Before the account is again active, the program push plan obtained in step 203 is pushed to the corresponding account through the display on the treadmill.

Alternatively, as a refinement and extension of the embodiment shown in FIG. 1, the present disclosure also provides another embodiment. As shown in FIG. 3, the method for data processing in this embodiment includes: step 301, step 302, step 303, step 304, step 305, step 306, and step 307.

In step 301, the fitness data is separately recorded according to the account.

First of all, it should be noted that this embodiment uses a specific treadmill as an example to explain all the steps. No further explanation will follow. The implementation of this step is the same as the implementation of step 101 in FIG. 1 except that the activity data in step 101 is replaced with fitness data, and thus will not be described again.

In addition, if the exercise item is running, the recorded fitness data includes the number of steps of running, the distance of running, the calories burned, the running speed, the precise step frequency, and the like. Recording of the above fitness data can be accurately recorded by sensors or motors mounted on the treadmill.

In step 302, the fitness data corresponding to different accounts in the preset time period is analyzed.

The implementation of this step is the same as the implementation of step 202 in FIG. 2, and it is only necessary to replace the viewing program data therein with the fitness data, and therefore no further details are provided.

In step 303, a first fitness plan corresponding to a different account is generated.

According to the analysis of the fitness data in step 302, a corresponding first fitness plan is generated according to the method for generating viewing program data in step 203 of FIG. 2 . The first fitness program is entirely a fitness program based on historical fitness data from the account.

In step 304, the body basic information and the fitness demand corresponding to the account are received, and the second fitness plan of the corresponding account is calculated according to the basic body information and the fitness demand.

This step is a second fitness plan for calculating a corresponding account generated based on the basic body information and the fitness demand set in advance by the received account. Different from the way of generating the first fitness plan in step 303, the second fitness plan is generated by fully considering the current physical condition and fitness needs of different accounts, and the obtained fitness plan is more direct.

Among them, the basic information of the body mainly includes the weight, height, or blood pressure; the fitness demand usually includes one or more of the requirements of the calorie value to be consumed, the running frequency value, the running number of kilometers, and the like.

In step 305, before the account is again exercised, the first fitness plan or the second fitness plan of the corresponding account is pushed.

Before the account is again active, the first fitness plan obtained in step 303 or the second fitness plan obtained in step 304 is pushed to the corresponding account through the display on the treadmill.

In step 306, after the account selects the first fitness plan or the second fitness plan, the account is tracked in real time to complete the state of the corresponding fitness plan.

If the account selects the pushed first fitness plan or the second fitness plan, the account can be tracked in real time to complete the state of the corresponding fitness program, and the status is displayed through the display on the treadmill, so that the account can know its own in real time. The fitness program is completed and adapted. Real-time tracking The completion status of the fitness program can help the account to better complete the fitness program and achieve better fitness results.

In step 307, after the first fitness plan or the second fitness plan is selected in the account, the fitness data recorded in the fitness application (Application, referred to as App) on the mobile terminal is used to track the status of the corresponding fitness plan in real time.

Considering that the account may be able to exercise in different places, such as when the account is running, the account may run on the treadmill or other venues outside the treadmill. For those who are running on the treadmill and outside the treadmill During exercise, if only the fitness data of the account on the treadmill is recorded, the actual fitness program completion status display is inaccurate. Therefore, the running data of the account on the treadmill can be recorded in real time and uploaded back to the treadmill through the network. This will accurately track the status of the account to complete the corresponding fitness program. The fitness data in which the account is recorded outdoors or in addition to the treadmill can be recorded by the fitness app on the mobile terminal carried during the account running, and the fitness data is returned to the treadmill in real time.

Optionally, for the methods in FIG. 1 , FIG. 2 and FIG. 3 , the activity data may be detected in real time during the activity of the account, and the corresponding prompt information is output according to the activity data. The prompt information in this embodiment mainly includes warm tips that the account needs to pay attention to during the fitness process, for example, during the activity of the account, the prompt information indicating that the account needs to drink water is output every half hour; or when the account consumption is detected. When the calorie value reaches the preset threshold, the prompt message indicating the drinking water is output.

Optionally, as an implementation of the method shown in FIG. 1 , FIG. 2 and FIG. 3 , another embodiment of the embodiments of the present disclosure further provides a device for data processing. As shown in FIG. 4 , the device includes: The recording unit 41, the analyzing unit 42, the generating unit 43, and the first pushing unit 44.

The recording unit 41 is configured to record the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has one-to-one correspondence with the activity data;

The analyzing unit 42 is configured to analyze activity data corresponding to different accounts in the preset time period;

The generating unit 43 is configured to generate an activity plan corresponding to different accounts;

The first pushing unit 44 is configured to push the activity plan of the corresponding account before the account is again active.

Optionally, as shown in FIG. 5, the generating unit 43 includes:

The first generation module 431 is configured to generate a program push scheme corresponding to different accounts if the activity data in the recording unit 41 is viewing program data.

The second generation module 432 is configured to: if the activity data in the recording unit 41 is fitness data, Into the first fitness program corresponding to different accounts.

Optionally, as shown in FIG. 5, the apparatus further includes:

The receiving unit 45 is configured to receive physical basic information and fitness requirements corresponding to the account;

The calculating unit 46 is configured to calculate a second fitness plan of the corresponding account according to the basic body information and the fitness demand;

The second pushing unit 47 is configured to push the second fitness plan of the corresponding account before the account is exercised again.

Optionally, as shown in FIG. 5, the apparatus further includes:

The first tracking unit 48 is configured to: after the account selects the first fitness program or the second fitness program, the real-time tracking account completes the state of the corresponding fitness program, so that the account can better complete the fitness program;

The second tracking unit 49 is configured to, after the first fitness plan or the second fitness plan is selected by the account, track the account in real time with the fitness data recorded by the fitness application App on the mobile terminal to complete the state of the corresponding fitness plan.

Optionally, as shown in FIG. 5, the analyzing unit 42 includes:

The first analyzing module 421 is configured to directly analyze activity data of different accounts corresponding to the preset time period;

The second analysis module 422 is configured to upload the activity data of the corresponding different accounts in the preset time period to the preset cloud, so that the preset cloud performs the analysis.

Optionally, as shown in FIG. 5, the apparatus further includes:

The detecting unit 410 is configured to detect the activity data in real time during the activity of the account;

The output unit 411 is configured to output corresponding prompt information according to the activity data.

The device for data processing provided by the embodiment of the present disclosure can first record the activity data separately according to the account, the activity data is the data generated when the account performs the activity, and the account and the activity data are in one-to-one correspondence; secondly, the analysis is within a preset time period. The activity data corresponding to different accounts, and the activity plan corresponding to different accounts are generated; finally, the activity plan of the corresponding account is pushed before the account is re-executed. Compared with the related art, the embodiment of the present disclosure can record the activity data of different accounts separately, and analyze according to the activity data in the preset preset time period, generate different account personalized activity plans, and then perform the account again. Before the event, the corresponding activity plan is pushed for the account, so that the treadmill containing the push of the above activity scheme is more intelligent, so that the user's intelligent demand for the treadmill can be satisfied.

Optionally, as an implementation of the method shown in FIG. 1 , FIG. 2 , and FIG. 3 and the application of the apparatus shown in FIG. 4 and FIG. 5 , the embodiment of the present disclosure further provides a treadmill, where the treadmill includes the above The apparatus shown in Figures 4 and 5.

The treadmill for data processing provided by the embodiment of the present disclosure can first record the activity data separately according to the account, the activity data is the data generated when the account performs the activity, and the account corresponds to the activity data one by one; secondly, the preset time period is analyzed. The activity data corresponding to different accounts within the account, and the activity plan corresponding to the different accounts is generated; finally, the activity plan of the corresponding account is pushed before the account is re-executed. Compared with the related art, the embodiment of the present disclosure can record the activity data of different accounts separately, and analyze according to the activity data in the preset preset time period, generate different account personalized activity plans, and then perform the account again. Before the event, the corresponding activity plan is pushed for the account, so that the treadmill containing the push of the above activity scheme is more intelligent, so that the user's intelligent demand for the treadmill can be satisfied.

It should be noted that, for the apparatus for data processing described above, the functions of the respective unit modules used in the embodiments of the present disclosure may be implemented by a hardware processor.

Illustratively, as shown in FIG. 6, FIG. 6 is a schematic diagram of an entity structure of data processing provided by an embodiment of the present disclosure. The entity structure may include a processor 61 and a communications interface 62. The memory 63 and the bus 64, wherein the processor 61, the communication interface 62, and the memory 63 complete communication with each other via the bus 64. Communication interface 62 can be configured to transfer information between the server and the client. The processor 61 can call the logic instructions in the memory 63 to perform a method of separately recording the activity data according to the account, the activity data being data generated when the account is active, the account and the activity data. One-to-one correspondence; analyzing activity data corresponding to different accounts within a preset time period; and generating an activity plan corresponding to different accounts; and pushing an activity plan corresponding to the account before the account is again active.

Furthermore, the logic instructions in the memory 63 described above may be implemented in the form of a software functional unit and sold or used as a stand-alone product, and may be stored in a computer readable storage medium. Based on such understanding, a portion of the technical solution of the present disclosure that contributes in essence or to the related art or a part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several The instructions are for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present disclosure. The foregoing storage medium includes: a U disk, a mobile hard disk, a read only memory (ROM, Read-Only) Memory, random access memory (RAM), disk or optical disk, and other media that can store program code.

The embodiment of the present disclosure further provides a non-transitory computer readable storage medium storing computer executable instructions, when the computer executable instructions are executed by an electronic device, causing the electronic device to execute the data processing method of the above embodiment .

It should be noted that those skilled in the art can understand that all or part of the processes in the foregoing embodiments can be implemented by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium. Wherein, the program, when executed, may include the flow of an embodiment of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a read only memory (ROM), or a random access memory (RAM).

The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware. Based on such understanding, the above technical solutions may be embodied in the form of software products in essence or in the form of software products, which may be stored in a computer readable storage medium such as a ROM/RAM or a disk. , an optical disk, etc., includes instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform the methods described in various embodiments or portions of the embodiments.

It should be noted that the above embodiments are only for explaining the technical solutions of the present disclosure, and are not intended to be limiting; although the present disclosure has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that The technical solutions described in the foregoing embodiments are modified, or the equivalents of the technical features are replaced by the equivalents. The modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Industrial applicability

Embodiments of the present disclosure are capable of separately recording activity data of different accounts, and according to the records The activity data in the preset time period is analyzed, different activity plans of different accounts are generated, and then the corresponding activity plan is pushed for the account before the account is re-executed, so that the treadmill including the activity plan can be more intelligent, so Can meet the user's need for intelligent treadmills.

Claims (16)

A method of data processing, applied to an electronic device, the method comprising: Recording the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has a one-to-one correspondence with the activity data; Analyzing activity data corresponding to different accounts within a preset time period; and, Generate an activity plan corresponding to different accounts; The activity plan corresponding to the account is pushed before the account is again active. The method of claim 1 wherein said generating an activity plan corresponding to a different account comprises: If the activity data is viewing program data, generating a program pushing scheme corresponding to different accounts; If the activity data is fitness data, a first fitness plan corresponding to a different account is generated. The method of claim 1 wherein the method further comprises: Receiving basic physical information and fitness requirements corresponding to the account; Calculating a second fitness plan corresponding to the account according to the body basic information and the fitness demand; The second fitness plan corresponding to the account is pushed before the account is again exercised. The method of any of claims 2 or 3, wherein the method further comprises: After the first fitness plan or the second fitness plan is selected by the account, the account is tracked in real time to complete the state of the corresponding fitness plan, so that the account can better complete the fitness plan; or After the first fitness plan or the second fitness plan is selected by the account, the fitness data recorded by the fitness application App on the mobile terminal is tracked in real time to track the status of the corresponding fitness plan. The method of claim 1, wherein the analyzing the activity data corresponding to the different accounts within the preset time period comprises: Directly analyzing activity data of different accounts corresponding to the preset time period; or Uploading the activity data of the corresponding different accounts in the preset time period to the preset cloud, so that the preset cloud is analyzed. The method of claim 1 wherein the method further comprises: The activity data is detected in real time during the activity of the account; Corresponding prompt information is output according to the activity data. A device for data processing, comprising: a recording unit, configured to record the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has a one-to-one correspondence with the activity data; An analysis unit configured to analyze activity data corresponding to different accounts within a preset time period; Generating a unit, configured to generate an activity plan corresponding to a different account; The first pushing unit is configured to push an activity plan corresponding to the account before the account performs the activity again. The apparatus according to claim 7, wherein the generating unit comprises: a first generating module, configured to generate a program pushing scheme corresponding to different accounts if the activity data in the recording unit is viewing program data; The second generation module is configured to generate a first fitness plan corresponding to different accounts if the activity data in the recording unit is fitness data. The apparatus of claim 7 wherein said apparatus further comprises: a receiving unit, configured to receive body basic information and fitness requirements corresponding to the account; a calculating unit, configured to calculate a second fitness plan corresponding to the account according to the body basic information and the fitness requirement; The second pushing unit is configured to push the second fitness plan corresponding to the account before the account performs fitness again. A device according to any one of claims 8 or 9, wherein the device further comprises: a first tracking unit, configured to track, after the account selects the first fitness program or the second fitness program, the status of the corresponding fitness program in the account in real time, so that the account can better complete the fitness program ; a second tracking unit, configured to track the account to complete the corresponding fitness program in real time after the first fitness plan or the second fitness plan is selected by the account, in combination with the fitness data recorded by the fitness application App on the mobile terminal status. The apparatus according to claim 7, wherein the analyzing unit comprises: a first analysis module, configured to directly directly record activity data of different accounts corresponding to the preset time period Conduct analysis; The second analysis module is configured to upload the activity data of the corresponding different accounts in the preset time period to the preset cloud, so that the preset cloud performs analysis. The apparatus of claim 7 wherein said apparatus further comprises: a detecting unit, configured to detect the activity data in real time during the activity of the account; The output unit is configured to output corresponding prompt information according to the activity data. A treadmill, wherein the treadmill comprises the device of any one of claims 7 to 12. A non-transitory computer readable storage medium storing computer executable instructions that, when executed by an electronic device, cause the electronic device to perform the method of any of claims 1-6. A computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, causing the computer The method of any of claims 1-6. An electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being processed by the at least one When executed, the at least one processor is caused to perform the following operations: Recording the activity data separately according to the account, the activity data is data generated when the account performs an activity, and the account has a one-to-one correspondence with the activity data; Analyzing activity data corresponding to different accounts within a preset time period; and, Generate an activity plan corresponding to different accounts; The activity plan corresponding to the account is pushed before the account is again active.

Images