CN117194846B - Rope skipping detection method, device and storage medium - Google Patents
Rope skipping detection method, device and storage medium Download PDFInfo
- Publication number
- CN117194846B CN117194846B CN202311380244.2A CN202311380244A CN117194846B CN 117194846 B CN117194846 B CN 117194846B CN 202311380244 A CN202311380244 A CN 202311380244A CN 117194846 B CN117194846 B CN 117194846B
- Authority
- CN
- China
- Prior art keywords
- rope
- rope skipping
- mode
- skipping
- score
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 35
- 235000008694 Humulus lupulus Nutrition 0.000 claims abstract description 16
- 230000033001 locomotion Effects 0.000 claims description 71
- 238000004590 computer program Methods 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 17
- 230000006870 function Effects 0.000 claims description 8
- 230000009471 action Effects 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 2
- 241000630329 Scomberesox saurus saurus Species 0.000 claims 2
- 238000010586 diagram Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 5
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Landscapes
- Measurement Of Unknown Time Intervals (AREA)
Abstract
The application discloses a rope skipping detection method, a device and a storage medium, which are used for rope skipping detection. The rope skipping detection method disclosed by the application comprises the following steps: collecting timing data of each group of rope skipping of a specified rope skipping person in a specified time period; determining the time interval between every two rope hops according to the timing data; and detecting a rope skipping mode according to the time interval. The application also provides a rope skipping detection device and a storage medium.
Description
Technical Field
The present application relates to the field of computing technologies, and in particular, to a rope skipping detection method, device, and storage medium.
Background
Rope skipping is a widely appreciated sport. However, people with different physique and different exercise habits are suitable for different rope skipping modes, and only rope skipping is performed according to the exercise mode suitable for the people, the injury event is not easy to occur. However, in the prior art, a method for dividing a rope skipping motion mode and detecting the rope skipping mode is lacking.
Disclosure of Invention
Aiming at the technical problems, the embodiment of the application provides a rope skipping detection method, a rope skipping detection device and a storage medium, which are used for detecting a rope skipping mode so as to screen out a proper rope skipping mode.
In a first aspect, a rope skipping detection method provided by an embodiment of the present application includes:
Collecting timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
determining the time interval between every two rope hops according to the timing data;
detecting a rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode.
Preferably, the collecting timing data of each group of rope skipping for a specified time period for a specified rope skipping person includes:
Collecting timing data of each group of rope skipping in a specified time period for specified rope skipping persons ,Representing the time corresponding to the jth rope skipping in the ith rope skipping data;
Wherein i is the number of the rope skipping data group, i is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),Is the number of rope skipping data sets;
j is the rope skipping action number in each group of rope skipping data, j is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),The number of rope skipping times in the ith group of rope skipping data is numbered.
Preferably, the detecting the rope skipping mode according to the time interval includes:
Determining a rope-skipping mode score according to the time interval Rope skipping recommendation score;
Scoring according to the rope skipping patternRope skipping recommendation scoreDetermining uniform motion pattern scoreUniform velocity dip pattern scoreFree movement pattern score;
If it isThe rope skipping mode is a uniform motion mode ifThe rope skipping mode is a uniform speed dip mode, otherwise it is a free motion mode.
Preferably, the uniform motion pattern score is determined according to the time intervalComprising the following steps:
Determining a uniform motion pattern score according to the following formula :
;
Wherein,
。
Preferably, the determining a uniform dip pattern score based on the time intervalComprising the following steps:
determining a uniform dip pattern score according to the following equation :
;
Wherein,
。
Preferably, said determining a free movement pattern score based on said time intervalComprising the following steps:
determining a free movement pattern score according to the following formula :
;
Wherein,
。
In a second aspect, an embodiment of the present application further provides a rope skipping detection apparatus, including:
the data acquisition module is configured to collect timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
the mode detection module is configured to determine the time interval between every two rope skipping according to the timing data, and detect the rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode.
In a third aspect, an embodiment of the present application further provides a rope skipping detection apparatus, including: a memory, a processor, and a user interface;
the memory is used for storing a computer program;
the user interface is used for realizing interaction with a user;
the processor is used for reading the computer program in the memory, and when the processor executes the computer program, the rope skipping detection method provided by the invention is realized.
In a fourth aspect, an embodiment of the present application further provides a processor readable storage medium, where a computer program is stored in the processor readable storage medium, and when the processor executes the computer program, the method for detecting rope skipping provided by the present application is implemented.
The beneficial effects of the invention are as follows:
according to the invention, the rope skipping motion mode is divided into a uniform motion mode, a uniform speed dip mode and a free motion mode, the time fluctuation characteristic between every rope skipping is calculated according to the rope skipping data statistics result in a specified time period, and the most suitable motion mode is calculated according to a preset algorithm, so that a motion mode reference is provided for the rope skipping.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a rope skipping detection method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a rope skipping detection device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of another rope skipping detection device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Some words appearing hereinafter are explained:
1. In the embodiment of the invention, the term "and/or" describes the association relation of the association objects, which means that three relations can exist, for example, a and/or B can be expressed as follows: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
2. The term "plurality" in embodiments of the present application means two or more, and other adjectives are similar.
People with different physique and different exercise habits are suitable for different rope skipping modes, and only rope skipping is performed according to the exercise mode suitable for the people, the injury event is not easy to occur. According to the invention, the rope skipping motion mode is divided into a uniform motion mode, a uniform speed dip mode and a free motion mode, and then the motion mode most suitable for a rope skipping person is detected according to the rope skipping data of the specified rope skipping person in a specified time period and the algorithm model preset by the invention.
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, the display sequence of the embodiments of the present application only represents the sequence of the embodiments, and does not represent the advantages or disadvantages of the technical solutions provided by the embodiments.
Referring to fig. 1, a schematic diagram of a rope skipping detection method according to an embodiment of the present application is shown in fig. 1, and the method includes steps S101 to S103:
s101, collecting timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
S102, determining the time interval between every two rope hops according to the timing data;
s103, detecting a rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode.
In the invention, the timing data of each group of rope skipping in a specified time period of a specified rope skipping person comprises the following steps:
Collecting timing data of each group of rope skipping in a specified time period for specified rope skipping persons ,Representing the time corresponding to the jth rope skipping in the ith rope skipping data;
Wherein i is the number of the rope skipping data group, i is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),Is the number of rope skipping data sets;
j is the rope skipping action number in each group of rope skipping data, j is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),The number of rope skipping times in the ith group of rope skipping data is numbered.
As a preferred example, the time of each rope jump can also be recorded simultaneously;
The specified rope skipping person is the detected object. The specified period of time may be a fixed period of time, and for the accuracy of the detection, generally the longer the period of time, the better, e.g., 1 year, 2 years, etc.
For example, for student A, timing data is collected for each group of one-minute jump ropes for that student's yearWhereinThe number of the data groups is the serial number of the rope skipping data group,For serial numbers of rope skipping per group, e.g.,And (5) representing the time corresponding to the completion of the j-th rope skipping action in the i-th group of data.
As a preferred example, said determining the time interval between each two hops from said timing data comprises:
time interval between every two rope hops The determination is made according to the following equation:
。
Also referred to as a space-time score, represents the time difference between two consecutive hops in each set of rope-skipping data. For the first data within the group, the spacing-time score is equal to 1.
As a preferred example, the detecting the rope skipping mode according to the time interval includes:
Determining a rope-skipping mode score according to the time interval Rope skipping recommendation score;
Scoring according to the rope skipping patternRope skipping recommendation scoreDetermining uniform motion pattern scoreUniform velocity dip pattern scoreFree movement pattern score;
If it isThe rope skipping mode is a uniform motion mode ifThe rope skipping mode is a uniform speed dip mode, otherwise it is a free motion mode.
That is, the score is based on the uniform motion patternUniform velocity dip pattern scoreFree movement pattern scoreThe determination of the movement pattern may be performed according to the following formula:
。
wherein R is a motion mode, and is one of a uniform motion mode, a uniform velocity dip mode and a free motion mode.
As a preferred example, the determining a uniform motion pattern score according to the time intervalComprising the following steps:
Determining a uniform motion pattern score according to the following formula :
;
Wherein,
。
As a preferred example, the determining a uniform dip pattern score from the time intervalComprising the following steps:
determining a uniform dip pattern score according to the following equation :
;
Wherein,
。
As a preferred example, the determining a free movement pattern score from the time intervalComprising the following steps:
determining a free movement pattern score according to the following formula :
;
Wherein,
。
In the invention, the rope skipping mode score is determined according to the time intervalComprising the following steps:
rope skipping mode score The determination is made according to the following equation:
;
wherein,
;
;
;
;
Int () is a rounding function,For the fourth judgment threshold value to be set,For the fifth judgment threshold value to be set,Is the set sixth judgment threshold.
Determining a rope skipping recommendation score according to the time intervalComprising the following steps:
rope skipping recommendation score The determination is made according to the following equation:
;
wherein,
;
;
;
;
;
;
;
;
Wherein,For the time of each rope jump,For the set first judgment threshold value,For the set second judgment threshold value,Is the set third judgment threshold value.
According to the invention, the rope skipping motion mode is divided into a uniform motion mode, a uniform speed dip mode and a free motion mode, the time fluctuation characteristic between every rope skipping is calculated according to the rope skipping data statistics result in a specified time period, and the most suitable motion mode is calculated according to a preset algorithm, so that a motion mode reference is provided for the rope skipping.
For a better illustration of the method of the present invention, the scheme of the present invention is further described in the reverse order of description, for example:
Step 1: growth score And intercept score:
;
;
Step 2: calculating correction number score of any group of data i:
;
Wherein the method comprises the steps ofThe deviation score is:
;
Step 3: calculating a recommendation degree score for any set of data i :
;
Wherein the method comprises the steps ofAlso referred to as a times recommendation score, is determined according to the following formula:
;
Also referred to as a time recommendation score, is determined according to the following formula:
;
Also known as the temporal upper bound score, is determined according to the following formula:
;
Also referred to as a time lower bound score, is determined according to the following formula:
;
wherein, For the set first judgment threshold value,For the set second judgment threshold value,Is the set third judgment threshold value.
Step 4: for any group of dataCalculating rope skipping pattern score of data:
;
Wherein the method comprises the steps ofA uniform motion pattern is represented and is represented,A uniform velocity dip pattern is shown,Representing a free motion pattern;
also referred to as the waviness score, is determined according to the following formula:
;
also known as the separation time score, is determined according to the following formula:
;
also referred to as dip level score, is determined according to the following formula:
;
also referred to as a first pitch score, is determined according to the following formula:
;
Also known as the half-range stability score, is determined according to the following formula:
;
Int () is a rounding function, For the fourth judgment threshold value to be set,For the fifth judgment threshold value to be set,Is the set sixth judgment threshold.
Step 5: calculating uniform motion pattern scoreUniform velocity dip pattern scoreFree movement pattern score:
;
;
;
Wherein the method comprises the steps ofFor the first pattern sub-score,For the second pattern sub-score,For the third mode sub-score:
;
;
;
step 6: determining a rope skipping mode:
rope skipping mode :
。
Based on the same inventive concept, the embodiment of the invention also provides a rope skipping detection device, as shown in fig. 2, which comprises:
a data collection module 201 configured to collect timing data for each group of rope hops by a specified rope-jumper over a specified period of time;
A pattern detection module 202 configured to determine a time interval between every two rope hops according to the timing data, and detect a rope-skipping pattern according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode.
Preferably, the collecting timing data of each group of rope skipping for a specified time period for a specified rope skipping person includes:
Collecting timing data of each group of rope skipping in a specified time period for specified rope skipping persons ,Representing the time corresponding to the jth rope skipping in the ith rope skipping data;
Wherein i is the number of the rope skipping data group, i is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),Is the number of rope skipping data sets;
j is the rope skipping action number in each group of rope skipping data, j is more than or equal to 1 and less than or equal to Is a whole number of (a) and (b),The number of rope skipping times in the ith group of rope skipping data is numbered.
As an alternative example, the mode detection module 202 is further configured to determine a time interval between each two rope hops from the timing data, including:
time interval between every two rope hops The determination is made according to the following equation:
。
as an alternative example, the mode detection module 202 is further configured to detect a rope skipping mode according to the time interval, including:
Determining a rope-skipping mode score according to the time interval Rope skipping recommendation score;
Scoring according to the rope skipping patternRope skipping recommendation scoreDetermining uniform motion pattern scoreUniform velocity dip pattern scoreFree movement pattern score;
If it isThe rope skipping mode is a uniform motion mode ifThe rope skipping mode is a uniform speed dip mode, otherwise it is a free motion mode.
As an alternative example, the mode detection module 202 is further configured to determine a uniform motion mode score according to the time intervalComprising:
Determining a uniform motion pattern score according to the following formula :
;
Wherein,
。
As an alternative example, pattern detection module 202 is further configured to determine a uniform velocity dip pattern score from the time intervalsComprising:
determining a uniform dip pattern score according to the following equation :
;
Wherein,
。
As an alternative example, the pattern detection module 202 is further configured to determine a free movement pattern score from the time intervalComprising:
determining a free movement pattern score according to the following formula :
;
Wherein,
。
As a preferred example of this,
Determining a rope-skipping mode score according to the time intervalComprising the following steps:
rope skipping mode score The determination is made according to the following equation:
;
wherein,
;
;
;
;
Int () is a rounding function,For the fourth judgment threshold value to be set,For the fifth judgment threshold value to be set,Is the set sixth judgment threshold.
As a preferable example, the determining of the rope skipping recommendation score according to the time intervalComprising the following steps:
rope skipping recommendation score The determination is made according to the following equation:
;
wherein,
;
;
;
;
;
;
;
;
Wherein,For the time of each rope jump,For the set first judgment threshold value,For the set second judgment threshold value,Is the set third judgment threshold value.
It should be noted that, the apparatus provided in this embodiment and the method provided in the method embodiment belong to the same inventive concept, solve the same technical problem, achieve the same technical effect, and are the same and are not described in detail.
Based on the same inventive concept, the embodiment of the invention also provides a rope skipping detection device, as shown in fig. 3, which comprises:
Including a memory 302, a processor 301, and a user interface 303;
the memory 302 is used for storing a computer program;
The user interface 303 is configured to interact with a user;
The processor 301 is configured to read a computer program in the memory 302, where the processor 301 implements:
Collecting timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
determining the time interval between every two rope hops according to the timing data;
detecting a rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode.
Wherein in fig. 3, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 301 and various circuits of memory represented by memory 302, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The processor 301 is responsible for managing the bus architecture and general processing, and the memory 302 may store data used by the processor 301 in performing operations.
Processor 301 may be CPU, ASIC, FPGA or a CPLD, and processor 301 may also employ a multi-core architecture.
When the processor 301 executes the computer program stored in the memory 302, any one of the rope skipping detection methods of the first embodiment is implemented.
It should be noted that, the apparatus provided in this embodiment and the method provided in the method embodiment belong to the same inventive concept, solve the same technical problem, achieve the same technical effect, and are the same and are not described in detail.
The application also proposes a processor readable storage medium. The processor-readable storage medium stores a computer program, and when the processor executes the computer program, the processor implements any one of the rope skipping detection methods in the first embodiment.
It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. The rope skipping detection method is characterized by comprising the following steps of:
Collecting timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
determining the time interval between every two rope hops according to the timing data;
detecting a rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode;
the collecting timing data for each group of rope skips of a specified rope skipper within a specified time period comprises:
Collecting timing data { t i,j},ti,j of each group of rope skipping of a specified rope skipping person in a specified time period, wherein the time corresponding to the jth rope skipping in the ith group of rope skipping data is represented;
Wherein i is the number of the rope skipping data group, i is an integer of more than or equal to 1 and less than or equal to n 0, and n 0 is the number of the rope skipping data group;
j is the rope skipping action number in each group of rope skipping data, j is an integer greater than or equal to 1 and less than or equal to n i, and n i is the rope skipping frequency number in the ith group of rope skipping data;
the determining the time interval between every two rope hops according to the timing data comprises the following steps:
The time interval gt j between each two rope hops is determined according to the following formula:
the detecting rope skipping mode according to the time interval comprises the following steps:
Determining a rope skipping mode score g5 i and a rope skipping recommended score g3 i according to the time interval;
Determining a uniform velocity sport mode score gf 1, a uniform velocity dip mode score gf 2 and a free sport mode score gf 3 according to the rope-skipping mode score g5 i and the rope-skipping recommended score g3 i;
If gf 1≥max(gf2,gf3) then the rope-skipping mode is a uniform motion mode, if gf 2>max(gf1,gf3) then the rope-skipping mode is a uniform dip mode, otherwise it is a free motion mode.
2. The method of claim 1, wherein determining a uniform motion pattern score gf 1 from the time interval comprises:
the uniform motion pattern score gf 1 is determined according to the following formula:
wherein,
Determining the uniform dip pattern score gf 2 from the time interval comprises:
The uniform dip pattern score gf 2 is determined according to the following equation:
wherein,
Determining the free movement pattern score gf 3 from the time interval comprises:
The free movement pattern score gf 3 is determined according to the following formula:
wherein,
3. The method of claim 1, wherein determining a rope-jump pattern score g5 i from the time interval comprises:
The rope-jump pattern score g5 i is determined according to the following formula:
wherein,
gt1j=gtj+1-gtj;
Int () is a rounding function, ts 4 is a set fourth judgment threshold, ts 5 is a set fifth judgment threshold, and ts 6 is a set sixth judgment threshold.
4. The method of claim 1, wherein said determining a rope-jump recommendation score g3 i from said time interval comprises:
the rope skipping recommendation score g3 i is determined according to the following formula:
g3i=g31ig32i;
wherein,
g41=((ts2+1)min(tr1,...,tri)+ts2max(tr1,...,tri));
g42=((ts3+1)min(tr1,...,tri)+ts3max(tr1,...,tri));
n2i=g1tri+g2;
Wherein tr i is a time per rope jump, ts 1 is a first set determination threshold, ts 2 is a second set determination threshold, and ts 3 is a third set determination threshold.
5. A rope skipping detection device, characterized by comprising:
the data acquisition module is configured to collect timing data of each group of rope skipping of a specified rope skipping person in a specified time period;
the mode detection module is configured to determine the time interval between every two rope skipping according to the timing data, and detect the rope skipping mode according to the time interval;
The rope skipping mode comprises a uniform motion mode, a uniform dip mode and a free motion mode;
the collecting timing data for each group of rope skips of a specified rope skipper within a specified time period comprises:
Collecting timing data { t i,j},ti,j of each group of rope skipping of a specified rope skipping person in a specified time period, wherein the time corresponding to the jth rope skipping in the ith group of rope skipping data is represented;
Wherein i is the number of the rope skipping data group, i is an integer of more than or equal to 1 and less than or equal to n 0, and n 0 is the number of the rope skipping data group;
j is the rope skipping action number in each group of rope skipping data, j is an integer greater than or equal to 1 and less than or equal to n i, and n i is the rope skipping frequency number in the ith group of rope skipping data;
the determining the time interval between every two rope hops according to the timing data comprises the following steps:
The time interval gt j between each two rope hops is determined according to the following formula:
the detecting rope skipping mode according to the time interval comprises the following steps:
Determining a rope skipping mode score g5 i and a rope skipping recommended score g3 i according to the time interval;
Determining a uniform velocity sport mode score gf 1, a uniform velocity dip mode score gf 2 and a free sport mode score gf 3 according to the rope-skipping mode score g5 i and the rope-skipping recommended score g3 i;
If gf 1≥max(gf2,gf3) then the rope-skipping mode is a uniform motion mode, if gf 2>max(gf1,gf3) then the rope-skipping mode is a uniform dip mode, otherwise it is a free motion mode.
6. The rope skipping detection device is characterized by comprising a memory, a processor and a user interface;
the memory is used for storing a computer program;
the user interface is used for realizing interaction with a user;
The processor is configured to read a computer program in the memory, and when the processor executes the computer program, implement the rope jump detection method according to one of claims 1 to 4.
7. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program, which when executed by the processor implements the rope jump detection method according to one of claims 1 to 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311380244.2A CN117194846B (en) | 2023-10-24 | 2023-10-24 | Rope skipping detection method, device and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311380244.2A CN117194846B (en) | 2023-10-24 | 2023-10-24 | Rope skipping detection method, device and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117194846A CN117194846A (en) | 2023-12-08 |
CN117194846B true CN117194846B (en) | 2024-04-19 |
Family
ID=89001860
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311380244.2A Active CN117194846B (en) | 2023-10-24 | 2023-10-24 | Rope skipping detection method, device and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117194846B (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106422156A (en) * | 2015-12-15 | 2017-02-22 | 裴建华 | Digital display rope skipping handle capable of informing rope skipping shrinking-second frequency |
CN112569564A (en) * | 2020-11-20 | 2021-03-30 | 融梦科技发展(北京)有限公司 | Rope skipping detection method, device and system and storage medium |
CN114849215A (en) * | 2022-06-29 | 2022-08-05 | 上海探寻信息技术有限公司 | Rope skipping counting method and device based on intelligent wearable equipment |
CN115282584A (en) * | 2022-07-28 | 2022-11-04 | 科大讯飞股份有限公司 | Rope skipping test evaluation method and device, rope skipping system and storage medium |
WO2023016004A1 (en) * | 2021-08-12 | 2023-02-16 | 荣耀终端有限公司 | Method for detecting rope skipping state, and electronic device |
-
2023
- 2023-10-24 CN CN202311380244.2A patent/CN117194846B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106422156A (en) * | 2015-12-15 | 2017-02-22 | 裴建华 | Digital display rope skipping handle capable of informing rope skipping shrinking-second frequency |
CN112569564A (en) * | 2020-11-20 | 2021-03-30 | 融梦科技发展(北京)有限公司 | Rope skipping detection method, device and system and storage medium |
WO2023016004A1 (en) * | 2021-08-12 | 2023-02-16 | 荣耀终端有限公司 | Method for detecting rope skipping state, and electronic device |
CN115702993A (en) * | 2021-08-12 | 2023-02-17 | 荣耀终端有限公司 | Rope skipping state detection method and electronic equipment |
CN114849215A (en) * | 2022-06-29 | 2022-08-05 | 上海探寻信息技术有限公司 | Rope skipping counting method and device based on intelligent wearable equipment |
CN115282584A (en) * | 2022-07-28 | 2022-11-04 | 科大讯飞股份有限公司 | Rope skipping test evaluation method and device, rope skipping system and storage medium |
Non-Patent Citations (1)
Title |
---|
变速跳绳运动模式对大学生短时运动能力的影响;陈安东;孙飙;赵彦;;南京体育学院学报(自然科学版)(第02期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN117194846A (en) | 2023-12-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11093789B2 (en) | Method and apparatus for object re-identification | |
US10923224B2 (en) | Non-transitory computer-readable recording medium, skill determination method, skill determination device and server | |
Lutz | The end of court-ordered desegregation | |
CN104700090B (en) | Eye based on density moves blinkpunkt assay method and system | |
US20130279881A1 (en) | Systems and methods for topic-specific video presentation | |
CN113515695B (en) | Exercise assisting method, apparatus, electronic device, and computer-readable storage medium | |
CN106845230A (en) | Malware detection method for visualizing and system based on malicious network traffic dictionary | |
Pan et al. | Using accelerometer for counting and identifying swimming strokes | |
CN110110663A (en) | A kind of age recognition methods and system based on face character | |
CN109584122A (en) | The online exam pool difficulty intelligence stage division and system automatically updated | |
CN113657278A (en) | Motion gesture recognition method, device, equipment and storage medium | |
CN106296287A (en) | For the method and apparatus adjusting the bid of promotion message | |
CN107832792A (en) | A kind of method for detecting fatigue driving and device | |
CN117194846B (en) | Rope skipping detection method, device and storage medium | |
US20190142347A1 (en) | Apparatus and method for predicting physical stability | |
CN113066556A (en) | Exercise guidance method based on different physical performance levels | |
CN107168965A (en) | Feature Engineering strategy determines method and device | |
JP2020124464A (en) | Load measuring apparatus, load measuring system, load measuring method, and program | |
CN106178466A (en) | A kind of body-building expenditure analysis method and system | |
CN102156890B (en) | Method and device for stroke segmentation of handwritten formula | |
CN108010357B (en) | Speed limit information checking/counting method, device and system | |
CN110180158B (en) | Running state identification method and system and terminal equipment | |
EP4040386A1 (en) | Motion recognition method, motion recognition program, and information processing device | |
Jiang et al. | A classroom concentration model based on computer vision | |
CN116311433A (en) | Middle-distance running test method, device, equipment and medium based on vision technology |
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 |