CN111966863A - Card punching method and device based on motion data - Google Patents

Card punching method and device based on motion data Download PDF

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Publication number
CN111966863A
CN111966863A CN202010833684.9A CN202010833684A CN111966863A CN 111966863 A CN111966863 A CN 111966863A CN 202010833684 A CN202010833684 A CN 202010833684A CN 111966863 A CN111966863 A CN 111966863A
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China
Prior art keywords
data
motion data
user
motion
card punching
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CN202010833684.9A
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Inventor
邝智颖
罗卫东
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Bank of China Ltd
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Bank of China Ltd
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Priority to CN202010833684.9A priority Critical patent/CN111966863A/en
Publication of CN111966863A publication Critical patent/CN111966863A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
    • G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20—Instruments for performing navigational calculations
    • G01C21/206—Instruments for performing navigational calculations specially adapted for indoor navigation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • G01C22/006—Pedometers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/904—Browsing; Visualisation therefor

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a card punching method and a device based on motion data, wherein the method comprises the following steps: the method comprises the following steps of adopting a big data technology to collect motion data of a user, wherein the motion data comprises: walking step number data, walking step length data, movement time data and movement position data; screening the repeated data in the motion data by adopting an inertial navigation technology to obtain effective motion data; and performing card punching operation according to the effective motion data. The invention can avoid the data statistics from generating deviation and ensure the accuracy of the user motion data statistics.

Description

Card punching method and device based on motion data
Technical Field
The invention relates to the technical field of computers, in particular to a card punching method and device based on motion data.
Background
With the continuous improvement of the living standard of the users, the masses like to live at home or to do exercises in a safe environment, so that the physical quality is enhanced, and the Olympic spirit is promoted and developed. And the user generally punches a card on an application program after the exercise so as to record the exercise situation.
In the prior art, in the process of punching a card by a user during movement, because an indoor GPS signal is poor, data statistics is prone to generating deviation, and movement data of the user cannot be accurately counted.
Disclosure of Invention
The embodiment of the invention provides a card punching method based on motion data, which is used for avoiding data statistics deviation and ensuring the accuracy of user motion data statistics, and comprises the following steps:
the method comprises the following steps of adopting big data technology to collect motion data of a user, wherein the motion data comprises: walking step number data, walking step length data, movement time data and movement position data;
screening the repeated data in the motion data by adopting an inertial navigation technology to obtain effective motion data;
and performing card punching operation according to the effective motion data.
Optionally, after obtaining valid motion data, the method further includes:
and displaying the effective motion data.
Optionally, after the motion data of the user is collected by using a big data technology, the method further includes:
judging the deviation degree of the collected user motion data;
and if the deviation degree of the collected user motion data exceeds a preset value, re-collecting the user motion data.
Optionally, after the inertial navigation technology is adopted to filter the repeated data in the motion data, the method further includes:
and integrating the motion data after screening.
The embodiment of the invention also provides a card punching device based on the motion data, which is used for avoiding the deviation of data statistics and ensuring the accuracy of the user motion data statistics, and comprises the following components:
the data acquisition module is used for acquiring motion data of a user by adopting a big data technology, and the motion data comprises: walking step number data, walking step length data, movement time data and movement position data;
the data screening module is used for screening the repeated data in the motion data by adopting an inertial navigation technology so as to obtain effective motion data;
and the card punching module is used for performing card punching operation according to the effective motion data.
Optionally, the apparatus further comprises:
and the data display module is used for displaying the effective motion data.
Optionally, the apparatus further comprises:
the judging module is used for judging the deviation degree of the collected user motion data;
and the acquisition module is used for re-acquiring the motion data of the user if the deviation degree of the acquired motion data of the user exceeds a preset value.
Optionally, the apparatus further comprises:
and the integration processing module is used for integrating the motion data after the screening processing.
The embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above method is stored.
In the embodiment of the invention, the motion data of the user can be accurately acquired by adopting a big data technology, the problem of large workload of updating a large amount of background data is effectively solved, the repeated data in the motion data is screened by adopting an inertial navigation technology to obtain effective motion data, and the card punching operation is carried out according to the effective motion data, so that the statistical precision of the data is effectively improved, the deviation of data statistics is avoided, and the accuracy of the user motion data statistics is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a method for punching a card based on motion data according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for punching a card based on motion data according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a card punching device based on motion data according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a card punching device based on motion data according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a computer apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
The following is a description of the terms referred to in this application:
big data: a data set with large scale which greatly exceeds the capability range of the traditional database software tools in the aspects of acquisition, storage, management and analysis has the four characteristics of large data scale, rapid data circulation, various data types and low value density.
An inertial navigation system: an autonomous navigation system does not depend on external information and radiates energy to the outside. The basic working principle of inertial navigation is based on Newton's law of mechanics, and by testing the acceleration of a carrier in an inertial reference system, integrating the acceleration with time and transforming the acceleration into a navigation coordinate system, information such as speed and position in the navigation coordinate system can be obtained.
With the continuous improvement of the living standard of the users, the masses like to live at home or to do exercises in a safe environment, so that the physical quality is enhanced, and the Olympic spirit is promoted and developed. And the user generally punches a card on an application program after the exercise so as to record the exercise situation.
In the prior art, in the process of punching a card by a user during movement, because an indoor GPS signal is poor, data statistics is prone to generating deviation, and movement data of the user cannot be accurately counted. In order to solve the above problem, an embodiment of the present invention provides a card punching method based on motion data.
Fig. 1 is a flowchart of a card punching method based on motion data according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101, collecting motion data of a user by adopting a big data technology, wherein the motion data comprises: walking step number data, walking step length data, motion time data and motion position data.
During specific implementation, the motion data of the user can be stored in the background server so as to be convenient for subsequent data query and call.
And 102, screening the repeated data in the motion data by adopting an inertial navigation technology to obtain effective motion data.
In an embodiment, after the inertial navigation technology is adopted to perform filtering processing on the repeated data in the motion data, the method further includes:
and integrating the motion data after screening.
And 103, performing card punching operation according to the effective motion data.
As can be seen from fig. 1, according to the motion data-based card punching method provided by the embodiment of the invention, the motion data of the user is acquired by adopting a big data technology, so that the motion data of the user can be accurately acquired, the problem of large workload of updating a large amount of background data is effectively solved, the inertial navigation technology is adopted to screen the repeated data in the motion data to acquire effective motion data, the card punching operation is performed according to the effective motion data, the statistical precision of the data is effectively improved, the occurrence of deviation in data statistics is avoided, and the accuracy of the user motion data statistics is ensured.
In order to facilitate the user to intuitively obtain the exercise data, as shown in fig. 2, after obtaining valid exercise data, the method further includes:
step 201, displaying the effective motion data.
In an embodiment, the effective motion data may be presented in various ways, for example, in the form of a graph, in the form of data, and the like.
In the embodiment of the present invention, after the big data technology is adopted to collect the exercise data of the user, the method further includes:
judging the deviation degree of the collected user motion data;
and if the deviation degree of the collected user motion data exceeds a preset value, re-collecting the user motion data.
In specific implementation, if the deviation degree of the collected user motion data is lower than a preset value, the subsequent data display work is continued.
Based on the same inventive concept, the embodiment of the present invention further provides a card punching device based on motion data, as described in the following embodiments. Because the principle of solving the problems of the punch card device based on the motion data is similar to that of the punch card method based on the motion data, the implementation of the punch card device based on the motion data can refer to the implementation of the punch card method based on the motion data, and repeated details are omitted. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a schematic structural diagram of a card punching device based on motion data according to an embodiment of the present invention, as shown in fig. 3, the device includes:
a data collection module 301, configured to collect motion data of a user by using big data technology, where the motion data includes: walking step number data, walking step length data, motion time data and motion position data.
The data screening module 302 is configured to screen the repeated data in the motion data by using an inertial navigation technology to obtain effective motion data.
And the card punching module 303 is used for performing card punching operation according to the effective motion data.
In the embodiment of the present invention, as shown in fig. 4, the method further includes:
and a data display module 401, configured to display the valid motion data.
In an embodiment of the present invention, the apparatus further includes:
the judging module is used for judging the deviation degree of the collected user motion data;
and the acquisition module is used for re-acquiring the motion data of the user if the deviation degree of the acquired motion data of the user exceeds a preset value.
In an embodiment of the present invention, the apparatus further includes:
and the integration processing module is used for integrating the motion data after the screening processing.
To achieve the above object, according to another aspect of the present application, there is also provided a computer apparatus. As shown in fig. 5, the computer device comprises a memory, a processor, a communication interface and a communication bus, wherein a computer program that can be run on the processor is stored in the memory, and the steps of the method of the above embodiment are realized when the processor executes the computer program.
The processor may be a Central Processing Unit (CPU). The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and units, such as the corresponding program units in the above-described method embodiments of the present invention. The processor executes various functional applications of the processor and the processing of the work data by executing the non-transitory software programs, instructions and modules stored in the memory, that is, the method in the above method embodiment is realized.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more units are stored in the memory and when executed by the processor perform the method of the above embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above method is stored.
In summary, the motion data of the user is acquired by adopting a big data technology, so that the motion data of the user can be accurately acquired, the problem of large workload of updating a large amount of background data is effectively solved, the repeated data in the motion data is screened by adopting an inertial navigation technology to acquire effective motion data, the card punching operation is performed according to the effective motion data, the statistical precision of the data is effectively improved, the deviation of data statistics is avoided, and the accuracy of user motion data statistics is ensured.
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.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A card punching method based on motion data is characterized by comprising the following steps:
the method comprises the following steps of adopting big data technology to collect motion data of a user, wherein the motion data comprises: walking step number data, walking step length data, movement time data and movement position data;
screening the repeated data in the motion data by adopting an inertial navigation technology to obtain effective motion data;
and performing card punching operation according to the effective motion data.
2. The method of claim 1, wherein after obtaining valid motion data, the method further comprises:
and displaying the effective motion data.
3. The method of claim 1, wherein after collecting the athletic data of the user using big data technology, the method further comprises:
judging the deviation degree of the collected user motion data;
and if the deviation degree of the collected user motion data exceeds a preset value, re-collecting the user motion data.
4. The method of claim 1, wherein after filtering the duplicate data in the motion data using inertial navigation techniques, the method further comprises:
and integrating the motion data after screening.
5. A punch card apparatus based on motion data, comprising:
the data acquisition module is used for acquiring motion data of a user by adopting a big data technology, and the motion data comprises: walking step number data, walking step length data, movement time data and movement position data;
the data screening module is used for screening the repeated data in the motion data by adopting an inertial navigation technology so as to obtain effective motion data;
and the card punching module is used for performing card punching operation according to the effective motion data.
6. The apparatus of claim 5, wherein the apparatus further comprises:
and the data display module is used for displaying the effective motion data.
7. The apparatus of claim 5, wherein the apparatus further comprises:
the judging module is used for judging the deviation degree of the collected user motion data;
and the acquisition module is used for re-acquiring the motion data of the user if the deviation degree of the acquired motion data of the user exceeds a preset value.
8. The apparatus of claim 5, wherein the apparatus further comprises:
and the integration processing module is used for integrating the motion data after the screening processing.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
CN202010833684.9A 2020-08-18 2020-08-18 Card punching method and device based on motion data Pending CN111966863A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202044743U (en) * 2011-04-15 2011-11-23 山东中创软件工程股份有限公司 Student movement monitoring system
CN108924738A (en) * 2018-06-26 2018-11-30 惠州学院 Exercise data processing method, device, computer equipment and storage medium
CN109934892A (en) * 2019-03-22 2019-06-25 河南思维轨道交通技术研究院有限公司 Inertial navigation motion profile method for drafting, device and computer equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202044743U (en) * 2011-04-15 2011-11-23 山东中创软件工程股份有限公司 Student movement monitoring system
CN108924738A (en) * 2018-06-26 2018-11-30 惠州学院 Exercise data processing method, device, computer equipment and storage medium
CN109934892A (en) * 2019-03-22 2019-06-25 河南思维轨道交通技术研究院有限公司 Inertial navigation motion profile method for drafting, device and computer equipment

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