CN110610752B - Moving object determining method and device - Google Patents
Moving object determining method and device Download PDFInfo
- Publication number
- CN110610752B CN110610752B CN201910785273.4A CN201910785273A CN110610752B CN 110610752 B CN110610752 B CN 110610752B CN 201910785273 A CN201910785273 A CN 201910785273A CN 110610752 B CN110610752 B CN 110610752B
- Authority
- CN
- China
- Prior art keywords
- information
- target information
- motion
- motion information
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application discloses a moving target determining method and device. Wherein, the method comprises the following steps: collecting first motion information of a user; determining corresponding first target information based on the first motion information; and judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, wherein the optimization capability of the second target information on the motion intensity of the first motion information is larger than the optimization capability of the first target information on the motion intensity of the first motion information. The method and the device solve the technical problem that in the prior art, guidance is provided for the user based on the fitness plan selected by the user, and the guidance efficiency is low.
Description
Technical Field
The application relates to the field of application programs, in particular to a moving target determining method and device.
Background
The running software on the market at present is based on an inherent guidance course for the running guidance of a user, and changes based on speed or heart rate are added to achieve the guidance effect.
However, at present, users find a curriculum practice mode on line, the facing object is a large number of fitness users, the users exercise based on the original curriculum plan, the curriculum mode easily causes unreasonable training content provided for the users, after the users exercise the current curriculum, the users need to search the guidance content again, and the users customize the plan again; the client receives the selection of the user to provide guidance data for the user, so that the time of the user is wasted, the course guidance efficiency is low, and personalized service cannot be provided for the user.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a moving target determining method and device, and aims to at least solve the technical problems that in the prior art, guidance is provided for a user based on a fitness plan selected by the user, and the guidance efficiency is low.
According to an aspect of the embodiments of the present application, there is provided a moving object determining method, including: collecting first motion information of a user; determining corresponding first target information based on the first motion information; and judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, wherein the optimization capability of the second target information on the motion intensity of the first motion information is larger than the optimization capability of the first target information on the motion intensity of the first motion information.
Optionally, the first motion information includes at least one of: weight information, body fat rate information, exercise speed information, and exercise mileage information.
Optionally, determining the corresponding first target information based on the first motion information comprises: searching a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data; collecting second motion information of the user at a second historical moment after a preset time period by taking the first historical moment as a starting moment; taking the second motion information as the first target information; establishing a first corresponding relation between the first motion information and the first target information; storing the first corresponding relation; and determining the first target information according to the first corresponding relation.
Optionally, before determining the corresponding first target information based on the first motion information, the method further includes: acquiring a setting instruction of a user, wherein the setting instruction is used for setting the first target information; establishing a second corresponding relation between the first motion information and the first target information; storing the second corresponding relation; determining corresponding first target information based on the first motion information comprises: determining the first target information based on the second correspondence.
Optionally, before generating the second target information, the method further includes: and acquiring a confirmation instruction of the user, wherein the confirmation instruction is used for confirming generation of the second target information.
Optionally, after determining the corresponding first target information based on the first motion information, the method further includes: recommending corresponding diet suggestions for the user based on the first motion information and the first target information.
Optionally, after generating the second target information, the method further includes: and displaying the second target information.
Optionally, the displaying the second target information includes: acquiring a first instruction of a user; confirming the gender of the voice corresponding to the second target information based on the first instruction; and playing the second target information by the voice corresponding to the gender.
Optionally, after generating the second target information, the method further includes: acquiring a second instruction of the user; and generating third target information based on the second instruction, wherein the optimization capacity of the third target information on the motion strength of the first motion information is greater than that of the second target information on the motion strength of the first motion information.
According to an aspect of an embodiment of the present application, there is provided a moving object determining apparatus including: the acquisition module is used for acquiring first motion information of a user; a determining module, configured to determine corresponding first target information based on the first motion information; and the judging module is used for judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, and the optimization capability of the second target information on the motion force of the first motion information is greater than the optimization capability of the first target information on the motion force of the first motion information.
According to an aspect of the embodiments of the present application, there is provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute the above-mentioned moving object determining method.
According to an aspect of the embodiments of the present application, there is provided a processor for executing a program, wherein the program executes the above-mentioned moving object determining method.
In the embodiment of the application, the method comprises the steps of collecting first motion information of a user; determining corresponding first target information based on the first motion information; judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, and achieving the purpose of providing a new motion plan for a user according to the real-time motion condition of the user by the way that the optimization capacity of the second target information on the motion force of the first motion information is larger than the optimization capacity of the first target information on the motion force of the first motion information, thereby solving the technical problem that in the prior art, guidance is provided for the user based on a body-building plan selected by the user, and the guidance efficiency is low.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart diagram of an alternative moving object determination method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an alternative moving object determining apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present application, there is provided a moving object determining method embodiment, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a schematic flowchart of a moving object determining method according to an embodiment of the present application, and as shown in fig. 1, the method at least includes the following steps:
step S102, collecting first motion information of a user, wherein the first motion information comprises at least one of the following: body weight information, body fat rate information, exercise speed information, and exercise mileage information;
the motion can be running or walking, and the first motion information comprises a data value corresponding to the first motion information and acquisition time of the data value; the first target information comprises a data value corresponding to the first target information and a target time corresponding to the set data value corresponding to the first target information.
In some optional embodiments of the present application, the first motion information of the user may be information of the user during a motion process, or may be previous motion information.
Optionally, the exercise speed may be an average running speed during one running, or may be a plurality of running speeds corresponding to a plurality of time periods during one running; the exercise mileage can be the distance run by the current exercise;
the first exercise information may further include a heart rate and may also include a psychological pressure value set by the user himself.
Step S104, determining corresponding first target information based on the first motion information;
in some optional embodiments of the present application, the first objective information may be objective plan information customized for the user;
the first target information can be selected or set by the user, or can be automatically generated by the client according to the historical data of the user movement.
Step S106, determining whether an absolute value of a difference between a data value corresponding to the first motion information and a data value corresponding to the first target information is less than or equal to a preset threshold, and if so, generating second target information, where an optimization capability of the second target information on the motion level of the first motion information is greater than an optimization capability of the first target information on the motion level of the first motion information.
In some optional embodiments of the present application, the first target information comprises at least one of: first target weight information, first target body fat rate information, first target exercise speed information, and first target exercise mileage information.
Alternatively, if the first exercise information and the first target information are weight information, when the absolute value of the difference between the current body weight value and the first target body weight value of the user is less than or equal to a preset threshold, second target information is generated, where the second target information includes a second target body weight value and a target time corresponding to the set second target body weight value, that is, a target time for the set body weight of the user to reach the second target body weight value.
Wherein, the preset threshold value can be determined by a selection instruction of a user.
In some optional embodiments of the present application, the data value corresponding to the second target information is greater than the data value corresponding to the first target information, and in other optional embodiments of the present application, the data value corresponding to the second target information may also be smaller than the data value corresponding to the first target information.
In some optional embodiments of the present application, the sign of the data value corresponding to the second target information minus the sign of the data value corresponding to the first target information is the same as the sign of the data value corresponding to the first target information minus the sign of the data value corresponding to the first motion information.
In some optional embodiments of the present application, the different target information may correspond to different guidance resources, the client may provide the user with different guidance resources according to the first target information or the second target information, and the guidance resource may be guidance on a fitness action of the user and guidance on a breathing frequency of the user.
In some optional embodiments of the present application, before generating the second target information, the method needs to perform the following steps: obtaining a last exercise record of the user, based on first exercise information of the user in the exercise record, for example: and confirming the specific numerical value of the data value corresponding to the second target information according to the heart rate condition in the exercise process or the actual exercise mileage. The method can set reasonable second target information for the user according to the actual exercise capacity of the user.
Optionally, whether the generated data value corresponding to the second target information is greater than or less than the data value corresponding to the first target information may be determined by combining the type of the first motion information; for example, when the first exercise information is weight information or body fat rate information, the data value corresponding to the second target information is smaller than the data value corresponding to the first target information. Optionally, the generated second target information may be determined in combination with a heart rate value of the user during the exercise; for example, when the first exercise information is weight information, and in the exercise process of the user, if the heart rate information of the user indicates that the current exercise amount of the user does not exceed the exercise capacity of the user, the generated data value corresponding to the second target information is smaller than the data value corresponding to the first target information.
Optionally, determining the corresponding first target information based on the first motion information may be implemented by: searching a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data; collecting second motion information of the user at a second historical moment after a preset time period by taking the first historical moment as a starting moment; taking the second motion information as the first target information; establishing a first corresponding relation between the first motion information and the first target information; storing the first corresponding relation; and determining the first target information according to the first corresponding relation.
In some optional embodiments of the present application, when the first exercise information and the first target information are running speed information, the historical data is running speed data of the user in a past time, for example, within a preset time period. Searching for a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data can be realized by the following steps: searching historical movement data of the current user, wherein the historical running speed value is the same as the running speed value of the current movement process of the user, and determining a running time point corresponding to the historical running speed value, wherein the running time point is a first historical moment.
Optionally, the preset time period may be half a month, and with the first historical time as a start time, the collecting of the second motion information of the user at the second historical time after the preset time period may be: and taking the movement time point as the starting time, and acquiring the movement speed information of the user at a second historical time half a month later.
And the motion speed information of the user at the second historical moment after half a month is the first target information.
In some optional embodiments of the present application, when the first motion information and the first target information are body fat rate information, the historical data is body fat rate data of the user in a past time, for example, in a preset time period. Searching for a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data can be realized by the following steps: and searching historical body fat rate values which are the same as the body fat rate values of the user in the current motion process in the historical motion data of the current user, and determining a historical time point corresponding to the historical body fat rate values, wherein the historical time point is a first historical time.
Optionally, the preset time period may be ten days, the first historical time is used as a starting time, and the collecting of the second motion information of the user at the second historical time after the preset time period may be: and collecting the body fat rate information of the user at the second historical time ten days later by taking the historical time point as the starting time.
Wherein the body fat rate information of the user at the second historical time ten days later is the first target information.
In some optional embodiments of the present application, the first exercise information, the first target information, and the second target information are of the same parameter type, for example, all may be weight information, but the corresponding data values are different.
Optionally, the first motion information may also be fat-reduction speed information, for example, within a preset number of days, several jin are reduced.
In some optional embodiments of the present application, before determining the corresponding first target information based on the first motion information, the method further needs to perform the following steps: acquiring a setting instruction of a user, wherein the setting instruction is used for setting the first target information; establishing a second corresponding relation between the first motion information and the first target information; storing the second corresponding relation; determining corresponding first target information based on the first motion information comprises: determining the first target information based on the second corresponding relation.
Optionally, before generating the second target information, the method further needs to perform the following steps: and acquiring a confirmation instruction of the user, wherein the confirmation instruction is used for confirming generation of the second target information.
In some optional embodiments of the present application, the generated second target information may not be accepted by the user, for example, the user has an uncomfortable condition, and therefore, before generating the second target information, a confirmation instruction of the user needs to be obtained, where the confirmation instruction is used to indicate that the user agrees to generate the second target information.
Optionally, after determining the corresponding first target information based on the first motion information, the method further needs to perform the following steps: recommending corresponding diet suggestions for the user based on the first motion information and the first target information.
In some optional embodiments of the present application, the client may further recommend a diet suggestion to the user according to the current motion information of the user and the target set by the user, where the diet suggestion may be a suggestion for helping the user to reach the first target information faster. For example: when the first target information is weight, the client may recommend a fruit or vegetable, or a recipe, for the user that can lose weight.
Alternatively, the client may provide different recommended contents for the user according to different levels of rights of the user.
Optionally, after generating the second target information, the method further needs to perform the following steps: and displaying the second target information.
Specifically, the manner of displaying the second target information may be text display or voice display.
Optionally, displaying the second target information may be implemented by: acquiring a first instruction of a user; confirming the gender of the voice corresponding to the second target information based on the first instruction; and playing the second target information by using the voice corresponding to the gender.
In some optional embodiments of the present application, in order to implement personalized requirements of the user, different genders may be set for the voice showing the second target information, and the user may select the gender corresponding to the voice at the client side, and may also select the tone color and the tone quality corresponding to the voice.
Optionally, after generating the second target information, the method further needs to perform the following steps: acquiring a second instruction of the user; and generating third target information based on the second instruction, wherein the optimization capacity of the third target information on the motion strength of the first motion information is greater than that of the second target information on the motion strength of the first motion information.
In some optional embodiments of the present application, after the second target information is generated, if the user is not satisfied with the current second target information, the generated second target information may be modified, and the third target information may be obtained.
In some optional embodiments of the present application, if an absolute value of a difference between a data value corresponding to the first motion information and a data value corresponding to the first target information is greater than a preset value, if so, fourth target information is generated, and an optimization capability of the fourth target information on the motion level of the first motion information is smaller than an optimization capability of the first target information on the motion level of the first motion information.
In an embodiment of the present application, collecting first motion information of a user is adopted, where the first motion information includes at least one of: body weight information, body fat rate information, exercise speed information, and exercise mileage information; determining corresponding first target information based on the first motion information; judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, and achieving the purpose of providing a new motion plan for a user according to the real-time motion condition of the user by the way that the optimization capacity of the second target information on the motion force of the first motion information is larger than the optimization capacity of the first target information on the motion force of the first motion information, thereby solving the technical problem that in the prior art, guidance is provided for the user based on a body-building plan selected by the user, and the guidance efficiency is low.
According to an embodiment of the present application, there is also provided an apparatus for implementing the above object determination, as shown in fig. 2, the apparatus including: the device comprises an acquisition module 22, a determination module 24 and a judgment module 26; wherein:
an acquiring module 22, configured to acquire first motion information of a user, where the first motion information includes at least one of: body weight information, body fat rate information, exercise speed information, and exercise mileage information;
a determining module 24, configured to determine corresponding first target information based on the first motion information;
a determining module 26, configured to determine whether an absolute value of a difference between a data value corresponding to the first motion information and a data value corresponding to the first target information is smaller than or equal to a preset threshold, if so, generate second target information, where an optimization capability of the second target information on the motion level of the first motion information is greater than an optimization capability of the first target information on the motion level of the first motion information.
Optionally, the determining module 24 is configured to search, from historical data, a first historical time at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information; collecting second motion information of the user at a second historical moment after a preset time period by taking the first historical moment as a starting moment; taking the second motion information as the first target information; establishing a first corresponding relation between the first motion information and the first target information; storing the first corresponding relation; and determining the first target information according to the first corresponding relation.
Optionally, the apparatus further includes a storage module, configured to obtain a setting instruction of a user before determining corresponding first target information based on the first motion information, where the setting instruction is used to set the first target information; establishing a second corresponding relation between the first motion information and the first target information; and storing the second corresponding relation.
Optionally, the determining module 24 is further configured to determine the first target information based on the second corresponding relationship.
Optionally, the apparatus further includes an obtaining module, configured to obtain a confirmation instruction of the user before the determining module 26 generates the second target information, where the confirmation instruction is used to confirm generation of the second target information.
Optionally, the apparatus further includes a recommending module, configured to recommend a corresponding diet suggestion for the user based on the first motion information and the first target information after the determining module 24 determines the corresponding first target information based on the first motion information.
Optionally, the apparatus further includes a display module, configured to display the second target information after the determining module 26 generates the second target information.
Optionally, the display module is configured to: acquiring a first instruction of a user; confirming the gender of the voice corresponding to the second target information based on the first instruction; and playing the second target information by using the voice corresponding to the gender.
Optionally, the obtaining module is further configured to obtain a second instruction of the user after the determining module 26 generates the second target information; and generating third target information based on the second instruction, wherein the optimization capacity of the third target information on the motion strength of the first motion information is greater than that of the second target information on the motion strength of the first motion information.
It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 2, and details are not described here again.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, optionally in this embodiment, the storage medium is configured to store program codes for performing the following steps: collecting first motion information of a user; determining corresponding first target information based on the first motion information; and judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, wherein the optimization capability of the second target information on the motion intensity of the first motion information is larger than the optimization capability of the first target information on the motion intensity of the first motion information.
According to another aspect of the embodiments of the present application, there is further provided a processor, configured to execute the program, where the program may execute the program code of the following steps in the method for determining a moving object of an application program when the program runs:
collecting first motion information of a user; determining corresponding first target information based on the first motion information; and judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value, if so, generating second target information, wherein the optimization capability of the second target information on the motion intensity of the first motion information is larger than the optimization capability of the first target information on the motion intensity of the first motion information.
The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (11)
1. A moving object determining method, comprising:
acquiring first motion information of a user, wherein the first motion information is motion information recorded last time;
determining corresponding first target information based on the first motion information;
judging whether the absolute value of the difference between the data value corresponding to the first motion information and the data value corresponding to the first target information is smaller than or equal to a preset threshold value or not, if so, generating second target information, wherein the optimization capability of the second target information on the motion intensity of the first motion information is larger than the optimization capability of the first target information on the motion intensity of the first motion information;
determining corresponding first target information based on the first motion information comprises:
searching a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data;
collecting second motion information of the user at a second historical moment after a preset time period by taking the first historical moment as a starting moment;
taking the second motion information as the first target information;
establishing a first corresponding relation between the first motion information and the first target information;
storing the first corresponding relation;
and determining the first target information according to the first corresponding relation.
2. The method of claim 1, wherein the first motion information comprises at least one of: weight information, body fat rate information, exercise speed information, and exercise mileage information.
3. The method of claim 2, wherein prior to determining corresponding first objective information based on the first motion information,
the method further comprises the following steps: acquiring a setting instruction of a user, wherein the setting instruction is used for setting the first target information; establishing a second corresponding relation between the first motion information and the first target information; storing the second corresponding relation;
determining corresponding first target information based on the first motion information comprises: determining the first target information based on the second corresponding relation.
4. The method of claim 1 or 3, wherein before generating the second target information, the method further comprises:
and acquiring a confirmation instruction of the user, wherein the confirmation instruction is used for confirming generation of the second target information.
5. The method of claim 4, wherein after determining the corresponding first target information based on the first motion information, the method further comprises:
recommending corresponding diet suggestions for the user based on the first motion information and the first target information.
6. The method of claim 5, wherein after generating the second target information, the method further comprises:
and displaying the second target information.
7. The method of claim 6, wherein presenting the second objective information comprises:
acquiring a first instruction of a user;
confirming the gender of the voice corresponding to the second target information based on the first instruction;
and playing the second target information by the voice corresponding to the gender.
8. The method of claim 7, wherein after generating the second target information, the method further comprises:
acquiring a second instruction of the user;
and generating third target information based on the second instruction, wherein the optimization capacity of the third target information on the motion strength of the first motion information is greater than that of the second target information on the motion strength of the first motion information.
9. A moving object determining apparatus, comprising:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring first motion information of a user, and the first motion information is motion information recorded last time;
a determining module, configured to determine corresponding first target information based on the first motion information;
a determining module, configured to determine whether an absolute value of a difference between a data value corresponding to the first motion information and a data value corresponding to the first target information is smaller than or equal to a preset threshold, and if so, generate second target information, where an optimization capability of the second target information on a motion level of the first motion information is greater than an optimization capability of the first target information on a motion level of the first motion information;
determining corresponding first target information based on the first motion information comprises:
searching a first historical moment at which a data value corresponding to historical motion information is the same as a data value corresponding to the first motion information from historical data;
collecting second motion information of the user at a second historical moment after a preset time period by taking the first historical moment as a starting moment;
taking the second motion information as the first target information;
establishing a first corresponding relation between the first motion information and the first target information;
storing the first corresponding relation;
and determining the first target information according to the first corresponding relation.
10. A storage medium, characterized in that the storage medium includes a stored program, wherein when the program is run, a device in which the storage medium is located is controlled to execute the moving object determining method according to any one of claims 1 to 8.
11. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the method of determining a moving object according to any one of claims 1 to 8 when running.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910785273.4A CN110610752B (en) | 2019-08-23 | 2019-08-23 | Moving object determining method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910785273.4A CN110610752B (en) | 2019-08-23 | 2019-08-23 | Moving object determining method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110610752A CN110610752A (en) | 2019-12-24 |
| CN110610752B true CN110610752B (en) | 2023-01-17 |
Family
ID=68889992
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910785273.4A Active CN110610752B (en) | 2019-08-23 | 2019-08-23 | Moving object determining method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110610752B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103154954A (en) * | 2010-08-09 | 2013-06-12 | 耐克国际有限公司 | Monitoring fitness using a mobile device |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091080B (en) * | 2014-07-14 | 2017-02-22 | 中国科学院合肥物质科学研究院 | Intelligent bodybuilding guidance system and closed-loop guidance method thereof |
| CN104880197B (en) * | 2015-04-10 | 2018-06-19 | 万步健康科技（江门）有限公司 | A kind of prescription pedometer and its system, method for parameter configuration |
| CN108257653A (en) * | 2016-12-27 | 2018-07-06 | 深圳美佳基因科技有限公司 | A kind of type of sports method of adjustment and its device, electronic equipment and exercise management system |
| CN107330242A (en) * | 2017-05-26 | 2017-11-07 | 北京卡路里信息技术有限公司 | Moving target method to set up, device, storage medium and processor |
| US10194418B2 (en) * | 2017-06-02 | 2019-01-29 | Apple Inc. | Determination and presentation of customized notifications |
| CN107335205A (en) * | 2017-06-22 | 2017-11-10 | 北京卡路里信息技术有限公司 | Body-building course recommends method, apparatus, storage medium and processor |
| CN108876284B (en) * | 2018-05-14 | 2023-04-18 | 平安科技（深圳）有限公司 | User behavior prompt generation method and terminal equipment |
| CN109584989A (en) * | 2018-11-27 | 2019-04-05 | 北京羽扇智信息科技有限公司 | A kind of method for pushing, device, equipment and storage medium moving prompt information |
| CN109589564B (en) * | 2019-01-30 | 2020-08-07 | 重庆勤鸟圈科技有限公司 | Customized fitness plan generating system |
| CN109935299A (en) * | 2019-04-12 | 2019-06-25 | 北京卡路里信息技术有限公司 | A kind of generation method of drill program, device, equipment and storage medium |
-
2019
- 2019-08-23 CN CN201910785273.4A patent/CN110610752B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103154954A (en) * | 2010-08-09 | 2013-06-12 | 耐克国际有限公司 | Monitoring fitness using a mobile device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110610752A (en) | 2019-12-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107590689B (en) | Advertisement data recommendation method and system | |
| US10839954B2 (en) | Dynamic exercise content | |
| CN108650524A (en) | Video cover generation method, device, computer equipment and storage medium | |
| CN111009311A (en) | Medical resource recommendation method, device, medium and equipment | |
| CN106846094A (en) | A kind of method and apparatus for recommending application message based on application has been installed | |
| CN103127665A (en) | Electronic fitness trainer and method for operating an electronic fitness trainer | |
| CN109240786B (en) | Theme changing method and electronic equipment | |
| CN113535991A (en) | Multimedia resource recommendation method and device, electronic equipment and storage medium | |
| CN111564197A (en) | Intelligent analysis system and method for physical exercise | |
| CN111589092A (en) | Exercise guidance method and device | |
| CN110610752B (en) | Moving object determining method and device | |
| CN106156270B (en) | Multimedia data pushing method and device | |
| CN114373444A (en) | Method, system and equipment for synthesizing voice based on montage | |
| CN110446117B (en) | Video playing method, device and system | |
| CN111514588B (en) | Virtual certificate generation method, device, equipment and storage medium | |
| CN108126341A (en) | A kind of method, apparatus and equipment of the seat parameter for adjusting Virtual Reality Platform | |
| CN114254188A (en) | Motion interaction recommendation method and device | |
| CN111968724B (en) | Exercise recommendation method and device | |
| CN110086849B (en) | Data processing method, device and system in motion process | |
| US11107568B2 (en) | Versatile data structure for workout session templates and workout sessions | |
| CN107483391A (en) | The method for pushing and device of multimedia file | |
| CN113055700A (en) | Method and device for displaying comment content | |
| CN114092245A (en) | Scenario bank transaction error information returning method and device | |
| CN110851478A (en) | Menu creation method and device | |
| CN105879355A (en) | Method and device for processing data and running machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |