CN113318419A - Intelligent rope skipping anti-cheating method and system - Google Patents
Intelligent rope skipping anti-cheating method and system Download PDFInfo
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- CN113318419A CN113318419A CN202110652475.9A CN202110652475A CN113318419A CN 113318419 A CN113318419 A CN 113318419A CN 202110652475 A CN202110652475 A CN 202110652475A CN 113318419 A CN113318419 A CN 113318419A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B5/00—Apparatus for jumping
- A63B5/20—Skipping-ropes or similar devices rotating in a vertical plane
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/17—Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
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Abstract
The invention discloses an intelligent rope skipping anti-cheating method, which comprises the following steps: collecting rope skipping action video data of a user; after processing, obtaining a curve of the feature point data relative to the height coordinate value of the ground data along with the change of time, and obtaining a take-off time point from the curve; acquiring a counting time point by a counting unit; fitting a plurality of adjacent two take-off time points with corresponding counting time points respectively to obtain fitting degrees of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degrees of the plurality of single take-off time points and the corresponding counting time points to obtain the overall fitting degree of the take-off time points and the corresponding counting time points; and comparing the overall fitting degree with a preset first threshold value, judging whether the data is normal rope skipping data, and sending the normal data to a cloud for score statistics and ranking. The invention can effectively prevent cheating rope skipping behaviors of users in the rope skipping process. The invention also discloses an intelligent rope skipping anti-cheating system.
Description
Technical Field
The invention relates to the technical field of intelligent fitness sports equipment, in particular to an intelligent rope skipping anti-cheating method and system and an intelligent rope skipping anti-cheating method applied to cloud competition.
Background
Along with the continuous deepening and strengthening of the scientific and technological cognition degree of people, the demand on intelligent products is stronger and stronger, the intelligent products are not limited to intelligent home, and the intelligent products are required to be obtained in daily fitness exercises. Therefore, the intelligent fitness equipment can make a response sound. The intelligent skipping rope is taken as one of intelligent fitness equipment, and is very popular among people. The appearance of intelligence rope skipping high in clouds match in each place silently, the high in the clouds match increases the enjoyment for intelligent rope skipping motion, makes people like intelligent rope skipping motion more.
In the cloud competition, the rope skipping is carried out by using the rope skipping equipment under the condition that competitors are unsupervised, and rope skipping data are uploaded to the cloud for ranking, so that the reliability of the competition and the ranking can be ensured by an effective anti-cheating method.
In order to solve the above problems, there are two schemes at present, one is to judge whether the rope skipping state is a real rope skipping state or a cheating rope skipping state by counting whether the maximum bpm (rope per minute) of the user exceeds the fastest record of the rope skipping in the givens world; if the recording speed exceeds the quickest recording speed of the Ginis world skipping rope, representing that the skipping rope is not real; otherwise, the real rope skipping state is represented. However, the intelligent skipping rope counting method has the following problems: if the user does not really jump the rope, but holds the countable handle by hand and shakes the handle to count, the maximum bpm of the user is kept to be not more than the quickest record in the Giniss world, cheating cannot be detected, and the user can not be fair to the user who normally jumps the rope.
The utility model discloses a rope skipping device, including the intelligence rope skipping device, the user is equipped with the heart rate sensor, and the user is in the in-process of rope skipping through the heart rate data of monitoring user, judges whether the user has the action of cheating, and this scheme has certain requirement to the computing power of equipment owner chip, increases extra sensor moreover and can increase equipment cost and electric quantity consumption, has increased the complexity of equipment.
Therefore, a new scheme is needed to be provided to prevent people from cheating when the intelligent rope skipping device is used.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent rope skipping anti-cheating method, which comprises the steps of obtaining a curve of profile characteristic point data of a human body relative to a height coordinate value of ground data along with time according to obtained rope skipping action video data; obtaining a plurality of jumping time points arranged according to the time sequence from the curve, and obtaining a plurality of counting time points by a counting sensor on the intelligent rope skipping equipment; fitting a plurality of adjacent two take-off time points with corresponding counting time points respectively to obtain fitting degrees of the plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degrees of the plurality of single take-off time points and the corresponding counting time points to obtain the integral fitting degree of the take-off time points and the corresponding counting time points; and judging whether the rope skipping data is normal rope skipping data or not by comparing the overall fitting degree with a preset first threshold value.
Therefore, the invention discloses an intelligent skipping rope anti-cheating method, which is applied to intelligent skipping ropes and comprises the following steps,
s1: collecting rope skipping action video data of a user;
s2: processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining a height coordinate value of feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the height coordinate value of the ground data along with time change, and obtaining a plurality of take-off time points arranged according to a time sequence from the curve;
s3: acquiring a plurality of counting time points arranged according to a time sequence by a counting sensor arranged on the intelligent skipping rope;
s4, fitting a plurality of adjacent two take-off time points and the corresponding counting time points respectively to obtain the fitting degree of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the single take-off time points and the corresponding counting time points to obtain the overall fitting degree of the take-off time points and the corresponding counting time points; and if the integral fitting degree is greater than a preset first threshold value, judging the rope skipping data to be abnormal rope skipping data, and if the integral fitting degree is less than the preset first threshold value, judging the rope skipping data to be normal rope skipping data.
Preferably, the step of obtaining the time points of the take-off in chronological order from the curve includes: and a zero-crossing detection line parallel to a horizontal cross axis is made on the curve graph, the zero-crossing detection line and the curve are intersected to form a plurality of intersection points, the intersection point with the earlier time in a rope skipping period is selected as a take-off time point in the corresponding rope skipping period, and the take-off time points in the rope skipping periods form a plurality of take-off time points which are arranged in time sequence.
Preferably, in step S4, before the fitting process is performed on each of the plurality of two adjacent jump starting time points and the corresponding counting time points, the method further includes:
1) rope mixing data detection: if the difference value between the adjacent counting time points is greater than a preset second threshold value, judging that rope mixing data appears, and in the period of the rope mixing data, setting the counting time point behind the time as a latest counting time point Tax;
2) removing rope mixing points: determining rope stirring points on a curve of the feature point data relative to the height coordinate value of the ground data along with time change, and removing the rope stirring points without participating in subsequent data processing;
3) selecting the take-off time after half rope mixing;
if the Tbx is the rope mixing point, taking a point Tbx + m which is closest to the Tbx and is later than the latest counting time point Tax on a curve of the characteristic point data relative to the height coordinate value of the ground data along with the change of time as a new take-off time point, wherein the latest take-off time point corresponds to the latest counting time point.
Preferably, the feature points are barycentric point data of the human body contour data.
Preferably, step S4 further includes: and if the ratio of the number of the take-off time points to the number of the counting time points is smaller than a preset second threshold value, directly judging the data to be abnormal rope skipping data.
Preferably, step S1 further includes: and carrying out face recognition on the user, and starting to collect rope skipping action video data after the face recognition is successful.
Preferably, the step S1 further includes, if the intelligent skipping rope is not detected to rotate for a long time, ending the skipping rope movement, and stopping collecting the video data of the intelligent skipping rope movement.
The invention also provides an intelligent skipping rope anti-cheating system, which is applied to the intelligent skipping rope and comprises the following components:
the counting unit is arranged in the handle of the intelligent skipping rope and used for acquiring a plurality of counting time points which are arranged in sequence according to time;
the intelligent terminal comprises an image acquisition unit, a data processing unit and a communication unit;
the image acquisition unit is used for acquiring rope skipping action video data of a user;
the data processing unit is used for processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining the height coordinate value of the feature point data of the human body contour data relative to the ground data, acquiring a curve of the feature point data relative to the ground data along with the change of the height coordinate value along with time, and obtaining a plurality of jumping starting time points arranged according to the time sequence from the curve; fitting a plurality of two adjacent take-off time points and the corresponding counting time points respectively to obtain the fitting degrees of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degrees of the plurality of single take-off time points and the corresponding counting time points to obtain the integral fitting degree of the take-off time points and the corresponding counting time points; if the overall fitting degree is greater than a preset first threshold value, judging the rope skipping data to be abnormal, and if the standard deviation is smaller than the preset first threshold value, judging the rope skipping data to be normal;
and the communication unit is used for carrying out data communication with the intelligent skipping rope.
Preferably, the intelligent terminal further comprises a face recognition unit, wherein the face recognition unit is used for recognizing whether the user is a competitor user, and if not, the user cannot enter the image acquisition unit to acquire video data of the intelligent rope skipping movement.
The invention also discloses an intelligent rope skipping anti-cheating method based on cloud terminal competition, which comprises the following steps:
s1: collecting rope skipping action video data of a user;
s2: processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining a height coordinate value of feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the height coordinate value of the ground data along with time change, and obtaining a plurality of take-off time points arranged according to a time sequence from the curve;
s3: acquiring a plurality of counting time points arranged according to a time sequence by a counting sensor arranged on the intelligent skipping rope;
s4, fitting a plurality of adjacent two take-off time points and the corresponding counting time points respectively to obtain the fitting degree of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the single take-off time points and the corresponding counting time points to obtain the overall fitting degree of the take-off time points and the corresponding counting time points; if the integral fitting degree is greater than a preset first threshold value, judging the rope skipping data to be abnormal, and if the integral fitting degree is less than the preset first threshold value, judging the rope skipping data to be normal;
and S5, uploading the normal rope skipping data to a cloud server, and carrying out score statistics and match ranking on the current user by the cloud server according to the normal rope skipping data.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through user rope skipping motion video data acquired by an intelligent terminal, a curve of change of characteristic point data of human body contour data relative to a height coordinate value of ground data along with time is obtained after rope skipping video processing; obtaining a plurality of jumping time points arranged according to time sequence from a curve, carrying out fitting calculation on the single jumping time point and the corresponding single counting time point to obtain the fitting degree of the single jumping time point and the corresponding counting time point, carrying out standardization processing on the fitting degree of the single jumping time point and the corresponding counting time point to obtain the overall fitting degree, comparing the overall fitting degree with a preset threshold value to obtain normal rope skipping data, and sending the normal rope skipping data to a cloud server for processing to obtain the score and ranking of a user. The cost is saved.
2. According to the intelligent rope skipping device, an additional sensor is not required to be added on the intelligent rope skipping device, so that the power consumption of intelligent rope skipping is reduced, and the standby time of the intelligent rope skipping is prolonged.
3. The invention allows rope mixing to occur in the cloud terminal competition, and can accurately judge whether cheating occurs in the whole rope skipping process after the rope mixing occurs, so that the diversity of the cloud terminal competition is increased.
4. The data processing unit of the invention carries various intelligent terminal devices sold on the market, and does not need to be additionally provided with hardware devices matched with the data processing unit, thereby increasing the adaptability of the intelligent rope skipping device.
Drawings
FIG. 1 is a flowchart of an embodiment of an intelligent rope skipping anti-cheating method according to the present invention;
FIG. 2 is a flowchart illustrating another embodiment of the intelligent rope skipping cheating-prevention method according to the present invention;
FIG. 3 is a flowchart illustrating a third embodiment of an intelligent rope skipping cheating-prevention method according to the present invention;
FIG. 4 is a flowchart illustrating a fourth embodiment of the intelligent rope skipping cheating-prevention method according to the present invention;
FIG. 5 is a block diagram of an embodiment of an intelligent skipping rope anti-cheating system according to the present invention;
fig. 6 is a graph 6(1) of a counting time point at which a rope mixing phenomenon occurs and a graph 6(2) of a rope skipping starting point in an embodiment of the intelligent rope skipping cheating prevention method of the invention;
fig. 7 is a flowchart of an embodiment of an intelligent rope skipping anti-cheating method based on cloud competition according to the present invention;
Detailed Description
The present invention will be described in detail with reference to the specific embodiments shown in the drawings, which are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the specific embodiments are included in the scope of the present invention.
As shown in fig. 1, the invention discloses an intelligent rope skipping anti-cheating method, and a flow chart of a specific embodiment includes:
s1: collecting rope skipping action video data of a user;
s2: processing rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining height coordinate values of feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the ground data, wherein the curve is changed along with time, and obtaining a plurality of take-off time points Tb arranged in time sequencen(ii) a In a preferred embodiment, the feature points of the human body contour data are barycentric point data of the human body contour data.
Specifically, the time points Tb of a plurality of take-off in chronological order are obtained from the curvenThe method comprises the following steps: making a zero-crossing detection line parallel to a horizontal cross axis on a curve graph, wherein the zero-crossing detection line intersects the curve to form a plurality of intersection points, selecting the intersection point with the earlier time in a rope skipping period as the take-off time point in the corresponding rope skipping period, and forming a plurality of take-off time points Tb arranged in time sequence by the take-off time points in the rope skipping periodsn。
S3: a counting sensor arranged by the intelligent skipping rope acquires a plurality of counting time points Ta arranged in time sequencem；
It is to be noted thatThe counting sensor can be a Hall sensor or a reed switch; if the intelligent skipping rope is the Hall sensor, the Hall sensor is arranged on a handle body of the intelligent skipping rope, a magnet is arranged on a rotary shaft head of the intelligent skipping rope, the rotary shaft head of the intelligent skipping rope can rotate relative to the handle body of the intelligent skipping rope, when the rotary shaft head of the intelligent skipping rope rotates to drive the magnet to be close to the Hall sensor, the Hall sensor generates an electric signal, and a plurality of counting time points Ta arranged in time sequence are obtained according to the collected electric signalm(ii) a Certainly, the circumferential position of the hall sensor can be any, and according to a specific embodiment disclosed by the invention, each counting time point corresponds to one take-off time point, and if the rope mixing condition occurs in the rope skipping process, a new take-off time point is selected after the rope mixing and corresponds to the counting time point corresponding to the rope mixing condition. Please refer to the following description for how to select a new take-off time point.
S4, fitting a plurality of two adjacent takeoff time points with the corresponding counting time points respectively to obtain the fitting degree of a plurality of single takeoff time points with the corresponding counting time points, and standardizing the fitting degree of the plurality of single takeoff time points with the corresponding counting time points to obtain the integral fitting degree of the takeoff time points with the corresponding counting time points; if the overall fitting degree value is larger than a preset first threshold value, judging the rope skipping data to be abnormal, if the overall fitting degree is smaller than the preset first threshold value, judging the rope skipping data to be normal,
fitting the two adjacent take-off time points with the corresponding counting time points respectively, illustratively, if the two adjacent take-off time points are TbnAnd Tbn-1Corresponding to two adjacent take-off time points is TanAnd Tan-1Then the fitting equation (1) for neighboring points is as follows:
wherein S isnFor two adjacent jump-stopsThe fitting degree of the time point and the corresponding counting time point,
calculating standard difference values of a plurality of take-off time points and corresponding counting time points, wherein the calculation formula (2) is as follows:
S＝(S1+S2+S3+S4…Sn)/n (2)
wherein S is the overall degree of fit, SnThe fitting degree of the two adjacent take-off time points and the corresponding counting time points is obtained.
In the intelligent rope skipping cloud match, the occurrence of rope mixing can be tolerated according to different match rules, if a competitor mixes ropes in the match process, the rope skipping data after rope mixing can be continuously and effectively monitored to determine whether cheating occurs, a preferred embodiment is provided, in the step S4, the specific steps can be referred to as shown in fig. 2,
before fitting the plurality of two adjacent takeoff time points with their corresponding counting time points, the method further includes S40:
1) rope mixing data detection: if the difference value of the adjacent counting time points is larger than a preset second threshold value, judging that rope mixing data appears, and in the period of the rope mixing data appearing, setting the counting time point at the later time as a new counting time point Tax；
2) Removing rope mixing points: determining rope stirring points on a curve of the feature point data relative to the ground data height coordinate value along with time change, and removing the rope stirring points without participating in subsequent data processing;
3) selecting the take-off time after half rope mixing;
if TbxFor the rope mixing point, taking a distance Tb on a curve of the feature point data relative to the height coordinate value of the ground data along with the change of timexRecently, and later than the latest counted time point TaxPoint Tb ofx+mAnd as a new take-off time point, the latest take-off time point corresponds to the latest counting time point.
For example, please refer to fig. 6(1) and fig. 6(2), if Ta is counted at adjacent time points4And Ta3The difference of (A) is greater than a predetermined valueThe second threshold value is judged as the rope mixing data, and the counting time point in the later time is the new counting time point Ta in the period of the rope mixing data4(ii) a The confirmation of the second threshold value is determined in accordance with actual conditions. In FIG. 6(2), the rope stirring point Tb is determined on the curve of the feature point data relative to the height coordinate value of the ground data along with the change of time4And a rope mixing point Tb4Removing without participating in subsequent data processing; taking the distance Tb on the curve of the change of the gravity center point data relative to the height coordinate value of the ground data along with the time4Latest and later than the latest counting time Ta4Point Tb of5And as a new take-off time point, the latest take-off time point corresponds to the latest counting time point. After the rope mixing condition occurs, the fitting formula (2) of the adjacent counting time points corresponding to the adjacent rope skipping points is as follows:
two adjacent take-off time points are Tb5And Tb3Corresponding to two adjacent take-off time points is Ta3And Ta4Then the fitting equation (3) for neighboring points is as follows:
wherein the rope mixing point Tb4And does not participate in the calculation of the fitting degree of the single take-off.
In an actual rope skipping cloud match, if the number of the counting time points of a competitor using the intelligent rope skipping device is larger than the number of the take-off time points or the curve longitudinal coordinate value of the characteristic point data relative to the height coordinate value of the ground data along with the change of time is unchanged, the competitor is proved to have a manual swing intelligent rope skipping rotating head in the rope skipping process, the real rope skipping movement is not carried out, the rope skipping data of the competitor can be directly judged to be abnormal rope skipping data at the moment, and the rope skipping data of the competitor can not be subjected to data fitting calculation any more.
In a specific embodiment, step S4 further includes: if the number of the counting time points is far larger than that of the take-off time points or the curve longitudinal coordinate value of the feature point data relative to the height coordinate value of the ground data along with the change of time is unchanged, the data is directly judged to be abnormal rope skipping data.
Certainly, the method can also judge whether the competitor manually shakes the intelligent rope skipping rotating head in the rope skipping process without really performing the rope skipping movement by comparing the ratio of the number of the take-off time points to the number of the counting time points with a preset threshold value,
in a specific embodiment, step S4 further includes: and if the ratio of the number of the take-off time points to the number of the counting time points is smaller than a preset second threshold value, directly judging the data to be abnormal rope skipping data.
In order to prevent the non-participating users from assisting the participating persons in the rope skipping exercise, in a specific embodiment, as shown in fig. 3, the step S1 further includes: and carrying out face recognition on the user, and starting to collect rope skipping action video data after the face recognition is successful.
After the rope skipping movement video of the competitor is acquired, the acquired video data can be automatically sent to the next unit for data processing, whether the rope skipping movement is finished or not can be automatically identified, a specific embodiment exists, specifically as shown in fig. 4, the specific embodiment exists, and the step S1 further includes that if the rotation of the intelligent skipping rope is not detected for a long time, the rope skipping movement is finished, and the acquisition of the video data of the intelligent skipping rope movement is stopped.
As shown in fig. 5, the present invention also discloses a specific embodiment of an intelligent skipping rope anti-cheating system, which is applied to an intelligent skipping rope, and comprises:
a counting unit 51 installed inside the handle of the intelligent skipping rope for obtaining a plurality of counting time points Ta arranged in time sequencem；
Specifically, the counting unit comprises a data acquisition unit and a data processing unit, the data acquisition unit can be a Hall sensor or a reed switch, the counting unit is not limited in detail, a specific embodiment is provided, the data acquisition unit comprises a Hall sensor, the Hall sensor can sense an electric signal when the intelligent skipping rope handle rotates for one circle, and the electric signal passes through a plurality of linesThe times of rope skipping of the user and a plurality of counting time points Ta arranged according to the time sequence can be obtained after the processing of the processing unitm(ii) a The number of times that the user jumped the rope can be input to an intelligent terminal with the count time point and show together, also can jump rope handle department direct display at intelligence, and is concrete, still be equipped with the display element on intelligence rope handle of skipping, and the display element is connected with the count unit, and the signal of telecommunication of hall sensor response is handled the back through data processing unit, obtains user's the number of times of skipping the rope, and the number of times of skipping the rope shows through the display element, and convenience of customers more audio-visual sees the number of times of skipping the rope of oneself.
In a specific embodiment, the intelligent rope skipping handle further comprises a heart rate acquisition unit, the heart rate acquisition unit is used for acquiring heart rate data of a user in a rope skipping process, the heart rate data acquired by the heart rate acquisition unit is processed and then displayed by the display unit, and the heart rate data comprises abnormal heart rate data, average heart rate data and highest heart rate data in the rope skipping process;
there is a preferred scheme, and intelligence rope skipping handle still includes the voice broadcast unit, and the voice broadcast unit is connected with counting unit, rhythm of the heart acquisition unit, and the voice broadcast unit is used for after the user finishes skipping the rope, carries out voice broadcast to the total rope skipping number of times of user and the whole rhythm of the heart data of rope skipping in-process.
There is a specific embodiment, including power module on the intelligence rope skipping handle, power module installs in the power mounting groove of intelligence rope skipping handle setting, still is provided with the interface that charges of power in the mounting groove, and the user of being convenient for charges power module. The power module is connected with the display unit, and the display unit is used for displaying the remaining electric quantity of the power module, and if the electric quantity of the power module is insufficient, the display unit can also send out the sound of an alarm to remind a user to charge.
The intelligent terminal 52 comprises an image acquisition unit 521, a data processing unit 522 and a communication unit 523; the communication unit 523 includes a first communication unit and a second communication unit; the first communication unit is in communication with the intelligent skipping rope, the second communication unit is used for communicating with a cloud server to perform data interaction, and the intelligent terminal 52 may be a mobile phone, a tablet computer, a notebook computer or any other electronic device capable of performing data transmission. The cloud server is used for receiving the normal rope skipping data, and performing score statistics and ranking on the current user according to the normal rope skipping data; certainly, the cloud server can also send the scores and the ranks of the competitors to the intelligent terminal, the scores and the ranks are displayed to the user through the display unit of the intelligent terminal, so that the user can know the competition result of the user in time. The specific first communication unit and the specific second communication unit are both wireless communication units and comprise infrared communication, Bluetooth communication, wifi, nfc and zigbee.
The image acquisition unit 521 is used for acquiring rope skipping action video data of a user;
the data processing unit 522 is used for processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining the height coordinate value of the feature point data of the human body contour data relative to the ground data, acquiring a curve of the feature point data relative to the ground data, wherein the curve changes along with time, and obtaining a plurality of take-off time points Tb arranged in time sequence according to the curven(ii) a Fitting a plurality of adjacent two take-off time points and corresponding counting time points respectively to obtain the fitting degree of the plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the plurality of single take-off time points and the corresponding counting time points to obtain the integral fitting degree of the take-off time points and the corresponding counting time points; and if the overall fitting degree value is greater than a preset first threshold value, judging the rope skipping data to be abnormal rope skipping data, and if the overall fitting degree is less than the preset first threshold value, judging the rope skipping data to be normal rope skipping data.
In a specific embodiment, the intelligent terminal further includes a timeout detection unit, which is used to end a situation where no user performs rope skipping for a long time.
In a specific embodiment, the intelligent terminal further comprises a face recognition unit, wherein the face recognition unit is used for recognizing whether the user is a competitor user, and if not, the user cannot enter the image acquisition unit to acquire video data of intelligent rope skipping movement. For example, the intelligent terminal 52 may be used for information retrieval. The users participating in the match can input the identity information and the face images through the intelligent terminal 52 in advance, and upload the input identity information and the face images to the cloud server through the intelligent terminal 52. The related information of the user is synchronized to the face recognition unit through the cloud server, so that when the user participates in the match, the face recognition unit can recognize the identity information of the user, and if the user passes the recognition, the face recognition unit can send the information to the image acquisition unit to perform video data acquisition.
The invention also discloses an intelligent rope skipping anti-cheating method based on cloud terminal competition, which has a specific embodiment shown in fig. 7 and comprises the following steps:
s1: collecting rope skipping action video data of a user;
s2: processing rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining a height coordinate value of feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the ground data height coordinate value along with time change, and obtaining a plurality of take-off time points arranged according to time sequence through the curve;
s3: a counting sensor arranged on the intelligent skipping rope acquires a plurality of counting time points arranged according to the time sequence;
s4, fitting a plurality of two adjacent take-off time points and the corresponding counting time points respectively to obtain the fitting degree of the single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the single take-off time points and the corresponding counting time points to obtain the integral fitting degree of the take-off time points and the corresponding counting time points; if the overall fitting degree is greater than a preset first threshold value, judging the rope skipping data to be abnormal, and if the overall fitting degree is less than the preset first threshold value, judging the rope skipping data to be normal;
and S5, uploading the normal rope skipping data to a cloud server, and carrying out score statistics and match ranking on the current user by the cloud server according to the normal rope skipping data.
According to the invention, through user rope skipping motion video data acquired by an intelligent terminal, a curve of profile characteristic point data of a human body relative to a height coordinate value of ground data along with time change is obtained after rope skipping video processing; obtaining a plurality of jumping time points arranged according to time sequence from a curve, performing fitting calculation on the single jumping time point and the corresponding single counting time point to obtain the fitting degree of the single jumping time point and the corresponding counting time point, performing standardized processing on the fitting degree of the single jumping time point and the corresponding counting time point to obtain the overall fitting degree, comparing the overall fitting degree with a preset threshold value to obtain normal skipping rope data, and sending the normal skipping rope data to a cloud server for processing to obtain the score and ranking of a user. The cost is saved.
According to the intelligent rope skipping device, an additional sensor is not required to be added on the intelligent rope skipping device, so that the power consumption of intelligent rope skipping is reduced, and the standby time of the intelligent rope skipping is prolonged.
The invention allows rope mixing to occur in the cloud terminal competition, and can accurately judge whether cheating occurs in the whole rope skipping process after the rope mixing occurs, so that the diversity of the cloud terminal competition is increased.
According to the intelligent rope skipping device, the data processing unit is arranged in the intelligent terminal, the data processing unit can carry various intelligent terminal devices sold in the market, additional hardware devices matched with the data processing unit are not needed, and the adaptability of the intelligent rope skipping device is improved.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.
Claims (10)
1. The utility model provides an intelligence rope skipping anti-cheating method, uses on intelligence rope skipping, its characterized in that includes:
s1: collecting rope skipping action video data of a user;
s2: processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining the height coordinate value of the feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the ground data height coordinate value along with time change, and obtaining a plurality of take-off time points arranged according to time sequence from the curve;
s3: a counting sensor arranged on the intelligent skipping rope acquires a plurality of counting time points arranged according to the time sequence;
s4, fitting a plurality of two adjacent take-off time points and the corresponding counting time points respectively to obtain the fitting degree of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the single take-off time points and the corresponding counting time points to obtain the overall fitting degree of the take-off time points and the corresponding counting time points; and if the overall fitting degree is greater than a preset first threshold value, judging the rope skipping data to be abnormal rope skipping data, and if the overall fitting degree is less than the preset first threshold value, judging the rope skipping data to be normal rope skipping data.
2. The intelligent rope skipping anti-cheating method according to claim 1, wherein the step of obtaining the time points of the jump in chronological sequence from the curve comprises: and making a zero-crossing detection line parallel to a horizontal cross axis on the curve graph, wherein the zero-crossing detection line intersects with the curve to form a plurality of intersection points, the intersection point which is selected to be earlier in time in a rope skipping period is a take-off time point in the corresponding rope skipping period, and the take-off time points in the rope skipping periods form a plurality of take-off time points which are arranged in time sequence.
3. The intelligent rope skipping anti-cheating method according to claim 1, wherein the intelligent rope skipping anti-cheating method comprises the following steps: in step S4, before fitting the plurality of two adjacent jump-off time points to the corresponding counting time points, the method further includes:
1) rope mixing data detection: if the difference value between the adjacent counting time points is greater than a preset second threshold value, determining that rope mixing data appears, and in the period of the rope mixing data, the counting time point behind the time is the latest counting time point Tax；
2) Removing rope mixing points: determining rope stirring points on a curve of the feature point data relative to the height coordinate value of the ground data along with time change, and removing the rope stirring points without participating in subsequent data processing;
3) selecting the take-off time after half rope mixing;
if TbxFor the rope mixing point, taking a distance Tb on a curve of the characteristic point data relative to the height coordinate value of the ground data along with the change of timexLatest and later than the latest counting time TaxPoint Tb ofx+mAnd as a new take-off time point, the latest take-off time point corresponds to the latest counting time point.
4. The intelligent rope skipping anti-cheating method according to claim 1, wherein the intelligent rope skipping anti-cheating method comprises the following steps: and the feature points are the gravity center point data of the human body contour data.
5. The intelligent rope skipping anti-cheating method according to claim 1, wherein the step S4 further comprises: and if the ratio of the number of the take-off time points to the number of the counting time points is smaller than a preset second threshold value, directly judging the data to be abnormal rope skipping data.
6. The intelligent rope skipping anti-cheating method according to claim 1, wherein the step S1 further comprises: and carrying out face recognition on the user, and starting to collect rope skipping action video data after the face recognition is successful.
7. The intelligent rope skipping anti-cheating method according to claim 1, wherein the intelligent rope skipping anti-cheating method comprises the following steps: step S1 further includes, if the rotation of the intelligent skipping rope is not detected for a long time, ending the skipping rope movement, and stopping collecting the video data of the intelligent skipping rope movement.
8. The utility model provides an intelligence rope skipping prevents system of practising fraud, uses on intelligence rope skipping which characterized in that includes:
the counting unit is arranged in the handle of the intelligent skipping rope and used for acquiring a plurality of counting time points which are arranged in sequence according to time;
the intelligent terminal comprises an image acquisition unit, a data processing unit and a communication unit;
the image acquisition unit is used for acquiring rope skipping action video data of a user;
the data processing unit is used for processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining the height coordinate value of feature point data of the human body contour data relative to the ground data, acquiring a curve of the feature point data relative to the ground data height coordinate value along with time change, and obtaining a plurality of take-off time points arranged according to a time sequence from the curve; fitting a plurality of two adjacent take-off time points and the corresponding counting time points respectively to obtain the fitting degrees of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degrees of the plurality of single take-off time points and the corresponding counting time points to obtain the integral fitting degrees of the take-off time points and the corresponding counting time points; if the overall fitting degree is larger than a preset first threshold value, judging the rope skipping data to be abnormal, and if the standard deviation is smaller than the preset first threshold value, judging the rope skipping data to be normal;
and the communication unit is used for carrying out data communication with the intelligent skipping rope.
9. The intelligent rope skipping anti-cheating system according to claim 8, wherein the intelligent terminal further comprises a face recognition unit, the face recognition unit is used for recognizing whether the user is a competitor user, and if not, the intelligent rope skipping anti-cheating system cannot enter the image acquisition unit to acquire video data of intelligent rope skipping movement.
10. The utility model provides a prevent cheating method of intelligent rope skipping based on high in clouds match which characterized in that includes:
s1: collecting rope skipping action video data of a user;
s2: processing the rope skipping action video data, identifying human body contour data and ground data through an image recognition algorithm, determining the height coordinate value of the feature point data of the human body contour data relative to the ground data, obtaining a curve of the feature point data relative to the ground data height coordinate value along with time change, and obtaining a plurality of take-off time points arranged according to time sequence from the curve;
s3: a counting sensor arranged on the intelligent skipping rope acquires a plurality of counting time points arranged according to the time sequence;
s4, fitting a plurality of two adjacent take-off time points and the corresponding counting time points respectively to obtain the fitting degree of a plurality of single take-off time points and the corresponding counting time points, and standardizing the fitting degree of the single take-off time points and the corresponding counting time points to obtain the overall fitting degree of the take-off time points and the corresponding counting time points; if the overall fitting degree is larger than a preset first threshold value, judging the rope skipping data to be abnormal, and if the overall fitting degree is smaller than the preset first threshold value, judging the rope skipping data to be normal;
and S5, uploading the normal rope skipping data to a cloud server, and carrying out score statistics and match ranking on the current user by the cloud server according to the normal rope skipping data.
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